Google Cloud offers a wide range of DevOps services designed to enhance the development, deployment, and management of applications. These services enable organizations to automate workflows, improve collaboration, and achieve continuous delivery with a high degree of efficiency. Google Cloud’s DevOps tools are tightly integrated, providing a seamless experience for teams adopting modern software development practices.

In this post, we will explore several of the most prominent DevOps services available on Google Cloud, highlighting their major features and how they contribute to accelerating software delivery and improving overall operational efficiency.

1. Google Cloud Build

Major Features:

• Fully Managed CI/CD Service:
  • Google Cloud Build is a fully managed continuous integration and continuous delivery (CI/CD) service that automates the process of building, testing, and deploying applications. It supports a wide range of programming languages and frameworks, allowing teams to build and deliver software quickly and securely.
• Integration with Google Cloud Services:
  • Cloud Build integrates seamlessly with other Google Cloud services, such as Google Kubernetes Engine (GKE), Cloud Functions, and Cloud Storage, making it easier to deploy to Google Cloud environments.
• Custom Build Configurations:
  • With Cloud Build, teams can define custom build configurations using YAML or JSON files. This allows flexibility in how builds are executed, from simple tasks to complex workflows.
• Speed and Scalability:
  • Cloud Build scales automatically based on the size of the build workload, ensuring that large applications are built in a fraction of the time without requiring additional infrastructure management.
• Security and Audit Logging:
  • Cloud Build provides built-in security features like Google Cloud Identity and Access Management (IAM) for access control, and audit logs to track changes and ensure compliance with security standards.

2. Google Kubernetes Engine (GKE)

Major Features:

• Managed Kubernetes Service:
  • Google Kubernetes Engine (GKE) is a managed service that simplifies the deployment, management, and scaling of containerized applications. It leverages Kubernetes, the most popular container orchestration platform, allowing organizations to run applications in a cloud-native environment.
• Seamless Integration with DevOps Pipelines:
  • GKE integrates seamlessly with Google Cloud Build and other DevOps tools, enabling teams to automate the deployment of containerized applications as part of their CI/CD pipeline.
• Automatic Scaling and Self-Healing:
  • GKE provides automatic scaling of workloads based on traffic and resource usage. It also includes self-healing features, such as automatic restarting of failed containers, ensuring high availability and reliability.
• Security and Compliance:
  • GKE offers robust security features such as IAM integration, role-based access control (RBAC), and built-in encryption, helping teams protect sensitive data and maintain compliance.
• Multi-Region and Hybrid Deployment:
  • GKE supports multi-region deployments, allowing teams to distribute their applications globally for better availability and performance. It also supports hybrid cloud deployments for running applications across on-premises and cloud environments.

3. Google Cloud Operations (Formerly Stackdriver)

Major Features:

• Comprehensive Monitoring and Logging:
  • Google Cloud Operations (formerly Stackdriver) provides a suite of tools for monitoring, logging, and diagnostics. It collects and visualizes performance metrics, logs, and traces from applications, giving teams real-time insights into their systems’ health.
• Integrated Error Reporting:
  • Google Cloud Operations integrates with Google Cloud’s logging and monitoring systems to provide real-time error reporting. It helps teams identify issues in production and resolve them before they impact end-users.
• Custom Dashboards:
  • Teams can create custom dashboards that visualize system performance and track key metrics. Cloud Operations allows teams to tailor their dashboards based on specific needs, improving overall observability.
• Alerting and Notifications:
  • Cloud Operations supports setting up automated alerts based on predefined thresholds, notifying the team when anomalies occur in system performance or when errors need immediate attention.
• End-to-End Traceability:
  • With Cloud Trace and Cloud Profiler, teams can trace requests through microservices, analyze performance bottlenecks, and optimize application latency, all from within the Google Cloud platform.

4. Google Cloud Deployment Manager

Major Features:

• Infrastructure as Code (IaC):
  • Google Cloud Deployment Manager allows teams to manage their Google Cloud resources using configuration files written in YAML, JSON, or Python. This Infrastructure as Code (IaC) approach enables teams to automate infrastructure provisioning and management.
• Resource Templates:
  • Deployment Manager enables the use of reusable resource templates to define Google Cloud resources. This makes it easy to deploy and manage resources consistently across different environments, reducing manual configuration errors.
• Version Control and Auditing:
  • Cloud Deployment Manager supports versioning of configuration files, allowing teams to maintain an audit trail of infrastructure changes. This is essential for tracking changes over time and maintaining compliance.
• Automated Rollbacks:
  • In the event of deployment failure, Deployment Manager automatically rolls back changes to ensure that the system remains in a stable state. This ensures minimal disruption to users.
• Multi-Environment Support:
  • With Deployment Manager, teams can manage different environments (e.g., development, staging, production) by using environment-specific configurations, making it easier to replicate infrastructure consistently across multiple environments.

5. Google Cloud Source Repositories

Major Features:

• Private Git Repositories:
  • Google Cloud Source Repositories provides fully managed, private Git repositories for storing and managing code. It integrates seamlessly with Google Cloud tools, including Google Cloud Build and Google Kubernetes Engine (GKE).
• Scalability:
  • Cloud Source Repositories can scale with your organization’s needs, handling everything from small repositories for individual projects to large, enterprise-level codebases.
• Integration with Other Google Cloud Services:
  • Cloud Source Repositories integrate with Google Cloud Build, allowing teams to trigger builds automatically when code changes are pushed to the repository, streamlining the CI/CD process.
• Collaboration and Code Review:
  • With built-in Git support, Cloud Source Repositories allows for team collaboration through features like pull requests and code reviews. This enhances team productivity and ensures high-quality code before deployment.
• Security and Access Control:
  • Cloud Source Repositories are secured using Google Cloud IAM, ensuring that access is tightly controlled and only authorized users can make changes to the repository.

6. Google Cloud Artifact Registry

Major Features:

• Centralized Storage for Artifacts:
  • Google Cloud Artifact Registry is a fully managed service for storing and managing software artifacts such as Docker images, Helm charts, and language-specific packages. It serves as a central repository for artifacts in DevOps workflows.
• Secure Access and Storage:
  • Artifact Registry provides integrated access control through IAM policies, ensuring secure storage and access to artifacts. This is critical for maintaining the integrity and security of software components.
• Integrated with Google Cloud Build:
  • Artifact Registry integrates seamlessly with Google Cloud Build, allowing teams to push built artifacts directly into the registry as part of their CI/CD pipeline. This facilitates efficient and secure artifact management.
• Multi-format Support:
  • Artifact Registry supports multiple formats, including Docker, Maven, npm, and Python, making it a versatile solution for teams working with various programming languages and containerized applications.
• Regional Repositories:
  • Teams can choose to store artifacts in specific Google Cloud regions, ensuring that artifacts are stored closer to the target environments, improving access speed and compliance with data residency regulations.

The Power of DevOps Services on Google Cloud

Google Cloud offers a comprehensive suite of DevOps services that help teams automate, collaborate, and deliver high-quality software at scale. From CI/CD pipelines using Google Cloud Build to infrastructure management with Google Cloud Deployment Manager, and monitoring with Google Cloud Operations, these services streamline the software development lifecycle and improve operational efficiency.

By integrating Google Cloud’s powerful DevOps tools, organizations can improve collaboration between development and operations teams, enhance software quality, and accelerate time-to-market. The flexibility, scalability, and security provided by Google Cloud services ensure that DevOps teams can build, deploy, and manage applications with confidence.

MUMBAI – Reliance Jio Infocomm Limited (Jio), a subsidiary of Reliance Industries Limited, and Google Cloud are embarking on a comprehensive, long-term strategic relationship with a goal of powering 5G in enterprise and consumer segments nationwide. In addition, Reliance will also take advantage of Google Cloud’s scalable infrastructure thereby enabling its retail business to achieve better operational efficiency, modernize and scale for growth, and deliver better performance and experiences to customers.

Jio and Google Cloud to unlock the transformational impact of 5G

To further Jio’s mission to digitize India with faster and better connectivity, Google Cloud will provide a complete end-to-end cloud offering for fully automated lifecycle management of Jio’s 5G network and services. Google Cloud’s deep expertise and innovation, combined with telco-specific capabilities for security, performance, and resilience, will help Jio’s 5G service to meet the demands of customers, thereby strengthening Jio’s position as one of the leading network and largest service providers in the country.

Edge Cloud infrastructure from Google Cloud provides an open, highly scalable and high-performing platform for supporting Jio, which in turn empowers hundreds of millions of Jio subscribers that are expected to use the 5G service. In addition, Jio and Google Cloud will collaborate to bring a portfolio of 5G edge computing solutions to help industries address real business challenges. Jio will explore building new services across gaming, healthcare, education, and video entertainment sectors. These services will use Jio’s 5G network, software and Google Cloud’s innovations in AI/ML, data and analytics, and other cloud-native technologies—delivered by Jio and powered by Google Cloud.

Retail Businesses to migrate to Google Cloud

As part of the partnership, Reliance will also augment its compute workload for retail business taking advantage of Google’s AI/ML, ecommerce, and demand forecasting offerings. This will help Reliance to rapidly grow its new commerce business to leverage Google Cloud with increased reliability and performance, as well as scale up as needed to respond to customer demand. Jio will also adopt Google Cloud’s scalable, serverless data analytics platform to advance its data-led innovation strategy.

“Cloud solutions is a key area where we are collaborating with Google. Jio will use Google Cloud’s cutting-edge technologies to power Jio’s 5G solutions and for powering the internal needs of key Reliance growth businesses like Reliance Retail, JioMart, JioSaavn and JioHealth,” said Mukesh Ambani, Chairman and Managing Director, Reliance Industries Limited.

“We are delighted to announce a new 5G partnership with Reliance Jio to help Indian consumers connect to a faster and better internet and support businesses in their digital transformation and help Jio build new services in sectors like health. education and more. As part of this collaboration, Reliance will also shift its core retail businesses to Google Cloud infrastructure which will enable them to scale up and improve customer experience,” said Sundar Pichai, CEO, Google and Alphabet.

Reliance Industries-led subsidiary, Reliance Jio Infocomm Limited (Jio) and Google Cloud are embarking on a comprehensive, long-term strategic relationship to power 5G in enterprise and consumer segments nationwide.

Additionally, Reliance will also take advantage of Google Cloud’s scalable infrastructure thereby enabling its retail business to achieve better operational efficiency, modernize and scale for growth, and deliver better performance and experiences to customers.

Mukesh Ambani, Chairman and Managing Director, Reliance Industries Limited said, “Cloud solution is a key area where we are collaborating with Google. Jio will use Google Cloud’s cutting-edge technologies to power Jio’s 5G solutions and for powering the internal needs of key Reliance growth businesses like Reliance Retail, JioMart, JioSaavn and JioHealth.”

“We are delighted to announce a new 5G partnership with Reliance Jio to help Indian consumers connect to a faster and better internet and support businesses in their digital transformation and help Jio build new services in sectors like health. education and more.
As part of this collaboration, Reliance will also shift its core retail businesses to Google Cloud infrastructure which will enable them to scale up and improve customer experience.” said Sundar Pichai, CEO, Google and Alphabet.

Jio and Google Cloud to unlock the transformational impact of 5G:

To further Jio’s mission to digitize India with faster and better connectivity, Google Cloud will provide a complete end-to-end cloud offering for fully automated lifecycle management of Jio’s 5G network and services. Google Cloud’s deep expertise and innovation, combined with telco-specific capabilities for security, performance, and resilience, will help Jio’s 5G service to meet the demands of customers, thereby strengthening Jio’s position as one of the leading network and largest service providers in the country.

Edge Cloud infrastructure from Google Cloud provides an open, highly scalable and high-performing platform for supporting Jio, which in turn empowers hundreds of millions of Jio subscribers that are expected to use the 5G service. In addition, Jio and Google Cloud will collaborate to bring a portfolio of 5G edge computing solutions to help industries address real business challenges. Jio will explore building new services across gaming, healthcare, education, and video entertainment sectors. These services will use Jio’s 5G network, software and Google Cloud’s innovations in AI/ML, data and analytics, and other cloud-native technologies—delivered by Jio and powered by Google Cloud.

Retail Businesses to migrate to Google Cloud

As part of the partnership, Reliance will also augment its compute workload for retail business taking advantage of Google’s AI/ML, e-commerce, and demand forecasting offerings. This will help Reliance to rapidly grow its new commerce business to leverage Google Cloud with increased reliability and performance, as well as scale up as needed to respond to customer demand. Jio will also adopt Google Cloud’s scalable, serverless data analytics platform to advance its data-led innovation strategy.

Canonical and Google Cloud have launched Ubuntu Pro on Google Cloud. This is a new Ubuntu offering available to all Google Cloud users. Ubuntu Pro on Google Cloud reportedly allows instant access to security patching covering thousands of open source applications for up to 10 years and critical compliance features essential to running workloads in regulated environments.

Google Cloud has long partnered with Canonical to offer innovative developer solutions, from desktop to Kubernetes and AI/ML. In the vein of this collaboration, Google Cloud and Canonical have created a more secure, hardened, and cost-effective devops environment; Ubuntu Pro on Google Cloud for all enterprises to accelerate their cloud adoption.

“Enterprise customers are increasingly adopting Google Cloud to run their core business-critical and customer-facing applications,” says June Yang, VP and GM, compute, Google Cloud. “The availability of Ubuntu Pro on Google Cloud will offer our enterprise customers the additional security and compliance services needed for their mission-critical workloads.”

Ubuntu Pro on Google Cloud is a premium version of Ubuntu focusing on enterprise and production use. It provides developers/administrators with a secured devops environment, addressing Security, one of the fundamental pillars for all IT systems. It is based on standard Ubuntu components, but comes with a set of additional services activated out of the box, including:

Patching of high and critical CVEs for Ubuntu’s universe repository, which covers over 30,000 packages, including Node.js, MongoDB, Redis and Apache Kafka, to name a few.
A 10 year maintenance commitment (For 18.04 LTS onwards. The maintenance period for Ubuntu Pro 16.04 LTS is 8 years.)
Live kernel patching, which offers VM instances increased security and higher uptimes.
Officially certified components to enable operating environments under compliance regimes such as FedRAMP, HIPAA, PCI, GDPR, and ISO.
Features to be available in H2 2021: Certified FIPS 140-2 components; security dashboard for Security Command Center, Managed Apps and more.
All the standard optimisations and security updates included in Ubuntu.
Ubuntu Pro for Google Cloud at work
Gojek has evolved from a ride-hailing company to a technology company offering a suite of more than 20 services across payment, e-commerce, and transportation. Through their applications, they’re now serving millions of users across Southeast Asia.

“We needed more time to comprehensively test and migrate our Ubuntu 16.04 LTS workloads to Ubuntu 20.04 LTS, which would mean stretching beyond the standard maintenance timelines for Ubuntu 16.04 LTS. With Ubuntu Pro on Google Cloud, we now can postpone this, and in moving our 16.04 workloads to Ubuntu Pro, we benefit from its live kernel patching and improved security coverage for our key open source components,” according to Kartik Gupta, engineering manager for CI/CD & FinOps at Gojek.

To help customers get better visibility of cost and money savings, Ubuntu Pro for Google Cloud embeds a transparent and innovative approach to pricing. For instance, Ubuntu Pro will be 3-4.5% of your average computing cost, meaning the more computing resources you consume, the smaller percentage you pay for Ubuntu Pro. Customers can purchase Ubuntu Pro directly through GCP Console or Google Cloud Marketplace for a streamlined procurement process, enabling quicker access to these commercial features offered by Canonical.

Recently google Announcement New serverless Database Migration Service (DMS) In preview. This service supports migrating self-hosted MySQL databases on-premises or in the cloud, as well as managed databases from other clouds to Cloud SQL for MySQL.

New serverless services for database migration are aimed at enterprises migrating to Google Cloud Platform (GCP) managed database services Cloud SQL Or Google computing engine Seamlessly. In addition, according to a post on the announcement blog, customers using this service will benefit from:

Migration using DMS keeps data replication from the source database to the destination without any manual steps, minimizing downtime.
DMS uses the database’s native replication capabilities to maximize fidelity and reliability for a reliable and complete migration.
It’s serverless and secure because you don’t have to provision or manage migration-specific resources or monitor them to keep everything running smoothly.

In addition to Google, Microsoft Azure and AWS also offer database migration services. Azure for customers Azure managed SQL instance service. This allows customers to move their on-premises applications to the cloud with minimal application and database changes. AWS DMS It enables migration from Oracle to Oracle and heterogeneous migration between different database platforms such as Oracle to Amazon RDS for Oracle, MySQL to Amazon Aurora, MySQL to Amazon RDS for MySQL, and Microsoft SQL Server to Amazon RDS for SQL Server.

Casa Systems partnered with Google Cloud to make it possible to integrate the company’s cloud-native 5G standalone core with a hyperscaler public cloud. The advantage of this type of integration, according to Casa, is that it makes it possible to deliver ultra-low latency applications even when the control plane and user plane are separated by hundreds of miles.

Casa said its engineers worked closely with engineers at Google Cloud’s ISV/SaaS Centre of Excellence to field test the solution. The field test demonstrated that it’s possible to separate the control plane and user plane of Casa’s cloud-based 5G SA core across hundreds of miles while still delivering a latency of just 10 milliseconds.

Casa said that during the field test it deployed its 5G SA core in multiple locations and placed the control and user plane functions at different locations. In this case, the control plane was located in Google Cloud’s North Virginia Region and the user plane was placed in Casa’s Andover, Massachusetts, facility.

Casa added that there are other advantages to using the hyperscale public cloud with a 5G SA core. For example, this type of integration will also make it possible for service providers and enterprises to provision services that are deployable anywhere —from the network edge to public clouds, private clouds, and carrier networks.

But Casa Systems isn’t the only company working with a hyperscaler to deliver a cloud-native 5G core. Nokia announced earlier this year that it had teamed with Google Cloud to jointly build cloud-native 5G core solutions for service providers and enterprises. And like Casa Systems, Nokia is also working with Google Cloud’s Anthos for Telecom solution, which is a platform Google built specifically for delivering workloads to the network edge on Google Cloud.

Cloud-native networking is gaining traction with telecom providers because it makes it possible for them to develop applications faster and scale them to a much larger number of subscribers than is possible with traditional applications. Cloud native applications also require less management and have lower operational costs.

Although some operators may move to 5G SA without the benefit of a cloud-native architecture, many experts view having a cloud-native network as being critical to 5G and without it, operators won’t be able to take full advantage of 5G standalone networks.

GCP or Google Cloud Platform is one of the fastest-growing cloud platforms in the industry. The platform helps manage computing, provide large-capacity data storage, offer robust machine learning services, and more. Here is a list of the best resources to learn GCP online. The courses are meant for students and professionals who want to try their hands on the popular cloud platform.

Google Cloud training
About: This training is provided by the developers of the Google Cloud platform. The tutorials will help you understand how to master implementing, deploying, migrating, and maintaining applications on cloud infrastructure, build cloud-native applications using Google Cloud’s end-to-end solutions, leverage data and gain real-time insights to improve decision-making and accelerate innovation, implement end-to-end machine learning models and learn how to deploy the latest artificial intelligence tools and more.

Google Cloud Platform (GCP) Fundamentals for Beginners
About: This course provides an overview of the Google Cloud Platform. From the core building blocks such as Compute, Networking, and Storage to the advanced services, this online tutorial helps understand the key concepts and steps on how to start being productive. Each section of this course includes a hands-on demo of one of the key services.

Developing Applications with Google Cloud Platform Specialization
About: In this specialization, you will learn how to design, develop, and deploy applications that seamlessly integrate managed services from GCP. Through a combination of presentations and hands-on labs, you will learn how to use the GCP services and pre-trained machine learning APIs to build secure and intelligent cloud-native applications.

Google Cloud Platform Fundamentals: Core Infrastructure
About: This course introduces you to essential concepts and terminology for working with GCP. You will learn about various vital resources and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. You will also learn about many computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery.

Google Cloud Platform Full Course
About: This is a three-hour online video tutorial on Google Cloud Platform by Simplilearn. The tutorial covers all the critical concepts of Google Cloud Platform, such as GCP, AWS vs GCP, Google Cloud ML, fundamentals of GCP and more.

GCP: Complete Google Data Engineer and Cloud Architect Guide
About: This course is a comprehensive guide to the Google Cloud Platform for ML with TensorFlow, Big Data with Managed Hadoop. You will learn how to deploy managed Hadoop apps on the Google cloud platform, build deep learning models on the cloud using TensorFlow, use big data technologies such as BigTable, Dataflow, Apache Beam and Pub/Sub, etc.

Machine Learning with TensorFlow on Google Cloud Platform Specialization
About: In this course, you will learn how to write distributed machine learning models that scale in Tensorflow. You will also learn how to convert raw data to features in a way that allows ML to learn important characteristics from the data and bring human insight to bear on the problem. You will experiment with end-to-end ML, starting from building an ML-focused strategy and progressing into model training, optimization, and productionalization.

Google Cloud Platform Training | Introduction To GCP
About: This is an online video tutorial offered by Edureka. You will get comprehensive training on the Google Cloud Platform. The course starts with the basics of Cloud Computing. As the course progresses, you will understand the GCP core infrastructure, how to manage GCP services such as GCP compute services, GCP database services, GCP security services, GCP networking services, GCP IAM etc.

Is Google powerful? Very powerful! If you ask any tech insider, they will tell you that Google knows more about you than your family, the government or your pastor. In terms of percentage of usage share of web browsers, Chrome is the clear winner, with Safari and Microsoft Edge trailing behind. Over 70% of search advertising is done on Google Search. Google’s YouTube is the world’s biggest video content site, Gmail is a top email service, and Google Maps is probably the map that most people use to get from point A to B. As of January 2021, Google’s Android OS powers 71.9% of the world’s mobile phones. Google permeates our daily lives – from the news and entertainment we consume, to the way we work and communicate, shop, choose restaurants and go places.

If you were to ask governments and regulators if Google is powerful, the answer might be that more policing and regulation is needed for it not to abuse its power. This is in fact the case here in Europe, where since 2010, the European Union has launched three separate antitrust investigations into Google for violating the EU’s competition laws due to its dominant position in the market. These cases have resulted in formal charges against Google related to Google Shopping, Google AdSense and the Android operating system. To date, Google has been found guilty of antitrust behaviour in the cases related to Google AdSense and Android and has been fined over €8 billion. The latest slap on the wrist was in March 2019, to the tune of €1.49 billion, was in relation to unfair competition in online advertising. The US is catching-up with three governmental anti-trust lawsuits filed against Google in last quarter of 2020. Calls for its break-up became a campaign agenda by then 2020 US presidential hopefuls Elizabeth Warren and Bernie Sanders. Dubbed as the “Breakup of Big Tech”, the campaign was not limited to Google but also to other tech behemoths like Facebook, Amazon and Apple.

Here we examine the three antitrust lawsuits lobbed by the EU, for unfair shopping comparisons, abusing its dominance in Android to unfairly favour its own services and stifling competition in online advertising. You can think of Google as the internet shop window; it displays its own stuff right at the front. This leaves competitors’ services languishing in the stockroom equivalent of page two of the search results. In all of these lawsuits and in the arguments for its breakup, you will see the phrases “unfair competition” and “stifling competition/innovation”. Collection of personal data and getting first-hand knowledge (and therefore, first leverage) of global trends are also cited as reasons to regulate or hold Google more accountable.

So, does Google have “the curse of bigness”? Is it right to call for its breakup? Is curtailing its “unbridled power” warranted? What will a breakup accomplish? How will it affect the tech innovation ecosystem? What could it mean for startups, not just in Europe but globally?

Google’s Product Integration

There is a whole ecosystem of Google products that captures the majority of internet traffic and keeps that traffic by putting in place a tight integration among Google products. Google search is integrated with Google Flights, Google Analytics, Google AdSense, YouTube, etc.

The unbundling of Google’s integrated products and allowing them to interface with third parties will help level the playing field for new players in the market. For example, Google Flights search results may no longer be prioritized in flight searches. YouTube videos will no longer be automatically highlighted in song searches, giving other video platforms a fighting chance.

Let us look closer at YouTube. YouTube is not only a video delivery platform but is also an advertisement and monetization platform. If you are a video content provider, YouTube’s monetization may not be favourable to you and you might want to monetize via other platforms. But YouTube does not allow integration of third-party advertising and monetization platforms, so this constrains the content provider and keeps at bay third-party platforms for advertising (e.g. Criteo) and monetization (e.g. Patreon).

Edging out existing competing platforms and keeping out potential new players stifles both competition and innovation. Competitors and new players always start as challenger startup companies – Patreon for example came out of one musician’s desire to make a living from his YouTube videos. Now you can see the same scenario playing out with other bundled Google products – Google Search with Google Maps, Google Search with Google Flights, etc.

Google has the capability (and resources) to easily reproduce fledgling startups services or products. The Google Cloud Platform (GCP) for example, is a major provider of cloud computing infrastructure which is used by startups. Imagine that there is a startup that wants to offer speech to text processing using AI who uses GCP and discovers that now Google Cloud has a similar (and competing product) under its ”AI and Machine Learning” product offering. From a technology enabler, Google is now a competitor. And what a mighty competitor it is! The ease at which Google can integrate or add a new product is astounding. This has something to do with Google’s massive resources and buying power.

Google’s Massive Resources and Buying Power

Alphabet Inc., Google’s parent company is one of the largest technology companies by revenue and one of the world’s most valuable companies in terms of market capitalization. That being said, Google has the cash to gobble up any company it fancies. And it has been doing so since its foundation in 1998. Here is a list of 241 mergers and acquisition by Google, dating back to its early days. If you examine the list, the acquisitions range from web search engines, to blogging, to map analysis and you will see that they are either integrated or used under current Google products. Google (and other big tech like Apple, Facebook and Amazon) is also known to acquire startups to expand its knowledge and technology in “hot” or cutting-edge tech.

Since 2009, Google has acquired the most number of AI startups – a total of 30 according to a compilation by research firm Crunchbase. Among its notable acquisitions is Nest Labs in 2014 (for around 2.6 billion), which heralded Google’s foray into the connected home. Nest Labs is now ‘Google Nest’. Another 2014 major acquisition is London-based AI startup DeepMind (for around 419 million). Its latest recorded acquisition was in 2019 with a customer service automation startup Onward. The record AI acquisitions by big tech prompted an FTC query into underreported acquisitions and the mounting concerns over big tech’s overall role in tech monopolization.

This is perhaps the most important effect of breaking up a big tech like Google. The reduction of its capability to buy out potential competitors, because the assets of, say, YouTube as a single company is way less compared to Google’s holding company, Alphabet.

When a big tech company sees an innovative startup, and they feel that the startup’s product or technology poses a threat to the big tech’s existing product, they can quickly raise capital to acquire that startup. That startup’s innovative technology either becomes an enabling technology to enhance the big tech’s existing product or this technology (and by extension innovation) gets suppressed. The same stifling effect on innovation can be said about its ability to absorb players in new tech – potentially altering the direction or swaying it in the direction beneficial only to them.

Google has appealed against all of the antitrust penalties handed down by the EU. These lawsuits, including the ones in the US and around the world, have not dampened Google’s revenue, though. Shares of its parent company Alphabet have rocketed nearly 30% in 2020. On January 16, 2020, Alphabet became the fourth US company to reach $1 trillion market value entering the trillion dollar companies club (along with Apple, Microsoft and Amazon) for the first time.

If you are a startup in Europe (or anywhere else, for that matter) and your exit strategy is to get acquired by Google, it is probably better for you that things stay the same. Google can very well afford it! On the flip side, if you do not want to get acquired, want to genuinely innovate, or want an ‘IN’ into its tightly integrated product portfolio to scale – then watch out for Google!

Google LLC today outlined a range of new compliance and security certifications for Google Cloud as part of a commitment to act as a “security transformation partner and to be the most trusted cloud.”

The new certifications include the addition of Cloud DNS to Google Cloud’s list of Federal Risk and Authorization Management Program compliant products along with additional government and security compliance certifications across Canada, Europe and Asia.

FedRAMP is a U.S. governmentwide program designed to standardize security assessment, authorization and monitoring for cloud products and services offered to federal government agencies. The goal of the program is to make sure that federal data is consistently protected at a high level in the cloud.

With the addition of Cloud DNS as a FedRAMP certified offering, Google is aiming to allow U.S. public sector customers to leverage a broader set of Google Cloud technologies with the assurance they’re meeting the highest level of civilian classification. Customers that wish to take advantage of the support can leverage Assured Workloads for Government, a service that allows Google Cloud Platform customers to quickly and easily create controlled environments where U.S. data location and personnel access controls are enforced.

The service also supports compliance with the U.S. Department of Defense, the Federal Bureau of Investigations Criminal Justice Information Services Division and FedRAMP High requirements. The supported compliance regimes are currently in beta testing and will be generally available later this month.

APAC protection
Google’s commitment to compliance and requirements extends beyond the U.S. to Asia-Pacific countries with Google Cloud working with various public sector agencies in the region to help them understand their compliance requirements and shared responsibilities.

In India, Google Cloud, in conjunction with India’s Ministry of Electronics and Information Technology has been audited on its conformance with the requirements of MeitY empanelment (registration) and successfully passed. In Japan, a similar process has taken place with registration for the country’s Information System Security Management and Assessment Program, a Japanese government system for assessing the security of cloud service providers to participate in public sector projects.

South to Australia, Google Cloud has obtained certification through the Australian Signals Directorate’s Information Security Registered Assessor’s Program framework, which assesses the implementation and effectiveness of an organization’s security controls against the Australian government’s security requirements.

In southeast Asia, Google has published Google Cloud GR 71 mapping to help public sector customers in Indonesia evaluate their GR 71 compliance as it relates to their use of Google Cloud services. GR 71 is a local law that regulates the activities of electronic system operators, generally defined as any person, government administrator, business entity, or member of society that provides, administers, and/or operates an electronic system individually or collectively for users. In Thailand, Google has gained compliance with the Information Security Standard for Meeting Control Systems.

In Europe, Google has also received attestations of compliance with the German Federal Office for Information Security’s Cloud Computing Compliance Criteria Catalogue for GCP and Google Workspace.

“In addition to public sector compliance, we continue to maintain our industry-leading audits and certifications for customers, including recertification of our compliance against ISO/IEC 27001/27017/27018 and SOC 1/2/3,” Mike Daniels, vice president Google’s Global Public Sector, wrote in a blog post. “We also recently added Apigee certificates for BSI C5, PCI-DSS, and SOC 1/2/3, as well as the AppSheet SOC 2 report, to our self-serve portal.”

Diamanti this week announced that it adds support for the Google Cloud Platform (GCP) to its Spektra platform for managing data on Kubernetes environments that can be extended across a hybrid cloud computing environment.

In addition, Diamanti adds support for Cri-O, the container runtime interface for Kubernetes, defined by the Technical Oversight Committee that oversees the development of the open source container orchestration platform.

Diamanti also adds debugging terminals for each application that can be directly accessed via the Spektra user interface. This addition reduces operational overhead and simplifies navigation between different applications and allows for easier search through application-level logs to diagnose issues.

Spektra is already available on Amazon Web Services (AWS) and Microsoft Azure, as well as on-premises IT environments that can deploy Spektra on servers from Lenovo, Dell Technologies, Hewlett-Packard Enterprise (HPE) or x86 infrastructure provided by Diamanti.

Brian Waldon, vice president of product for Diamanti, says all those instances of Spektra provide a data plane through which IT teams can employ a unified data fabric across a hybrid IT environment. That data plane complements an existing Ultima control plane from Diamanti that provides the means for managing the underlying network, storage and security services.

Data fabrics are becoming more critical because, with the advent of workloads based on artificial intelligence (AI), the amount of data that needs to be transferred between platforms has dramatically increased, Waldon says. Massive amounts of data are now aggregated on cloud platforms running data lakes that are being created to train AI models.

The rise of those AI workloads, most of which are deployed using containers, is also helping to drive increased deployments of stateful applications on Kubernetes clusters that require access to some form of persistent storage. Initially, the bulk of container applications were stateless in the sense that they typically stored data outside of a Kubernetes cluster. However, as IT teams become more adept at managing Kubernetes clusters, the rate at which organizations are starting to unify the management of compute and storage on the platform has been increasing steadily. A recent survey conducted by the Cloud Native Computing Foundation (CNCF) found 55% of respondents have now deployed stateful container applications in production, with another 11% planning to deploy them in the next 12 months. Another 12% are evaluating them, according to the survey.

It’s not clear at what rate organizations are moving to finally unify the management of data across multiple platforms. Currently, there’s a major effort to build data lakes in the cloud. However, most organizations are still likely to wind up deploying multiple data lakes on multiple clouds that will, at least for now, need to share data with data warehouses that are likely deployed in on-premises IT environments.

Regardless of how data is managed going forward it’s clear that some type of fabric to unify data management is required. In fact, most organizations will never be able to truly embrace hybrid cloud computing without one. The challenge now is laying the foundation for those hybrid cloud computing environments that, without some ability to easily move data, would defeat the purpose of making the effort in the first place.

Synnex Australia has added Google Workspace for Education to its cloud portfolio following a distribution agreement with Google Workspace in December 2020.

Google Workspace for Education is a suite of cloud solutions for education professionals which will expand the range of offerings for Synnex partners with an education channel program.

“We are thrilled to be able to offer channel partners with an enterprise-grade education solution that can be utilised within schools and institutions. Google Workspace for Education creates new opportunities for our partners to bring new features to their education customers,” Synnex Australia head of cloud, Kuo Yoong said.

“With the demands of distance learning, students can stay connected while learning from home. Synnex is committed to investing in education and supporting partners within the channel.”

Workspace for Education comes in four editions with Education Fundamentals available to all qualifying institutions at no cost. Paid editions include Education Standard, the Teaching and Learning Upgrade, and Education Plus.

Education Fundamentals, formerly known as G Suite for Education, is the original free suite of tools, such as Docs, Slides and Classroom, under a new name.

Education Standard builds on Fundamentals, providing visibility and controls for a more secure environment using tools like the Security Dashboard, Security Health, and the Investigation tool.

The Teaching and Learning Upgrade provides enhanced Google Meet capabilities such as Q&A, polls and breakout rooms, plus unlimited originality reports and access to an add-on marketplace is forthcoming.

Education Plus, formerly known as G Suite Enterprise for Education, adds limited integration with student information systems and priority support.

At the time of the original distribution agreement, Google Cloud ANZ head of channels and alliances Rhody Burton said, “We’re excited that Synnex, a key distribution partner, will help bring Google Workspace to more businesses in Australia, helping them reimagine how teams communicate and get work done.”

Australia’s laws forcing Google and Facebook to pay for news are ready to take effect, though the laws’ architect said it will take time for the digital giants to strike media deals. The Parliament on Thursday passed amendments to the so-called News Media Bargaining Code agreed between Treasurer Josh Frydenberg and Facebook chief executive Mark Zuckerberg on Tuesday.

In return for the changes, Facebook agreed to lift a ban on Australians accessing and sharing news. Rod Sims, the competition regulator who drafted the code, said he was happy that the amended legislation would address the market imbalance between Australian news publishers and the two gateways to the internet.

All signs are good, Sims told Australian Broadcasting Corp. The purpose of the code is to address the market power that clearly Google and Facebook have. Google and Facebook need media, but they don’t need any particular media company, and that meant media companies couldn’t do commercial deals, the Australian Competition and Consumer Commission chair added.

The rest of the laws had passed earlier, so they can now be implemented. Google has already struck deals with major Australian news businesses in recent weeks including News Corp and Seven West Media. Frydenberg said he was pleased to see progress by Google and more recently Facebook in reaching commercial deals with Australian news businesses.

But Country Press Australia, which represents 161 regional newspapers across the country, has raised concerns that tiny publications outside large cities might miss out. Sims said he was not surprised that the platforms would strike deals with the large city businesses first. I don’t see any reason why anybody should doubt that all journalism will benefit, Sims said.

There things take time. Google and Facebook don’t have unlimited resources to go around talking to everybody. I think this has got a long way to play out, he added. Chris Moos, a lecturer at Oxford University’s Business School, said the latest amendments amounted to a small victory for Zuckerberg.

Moos said the legislation would likely result in small payouts for most Australian news publishers. But Facebook could again block Australian news if negotiations broke down.

The legislation was designed to curb the outsized bargaining power of Facebook and Google in their negotiations with Australian news providers. The digital giants would not be able to abuse their positions by making take-it-or-leave-it payment offers to news businesses for their journalism.

Instead, in the case of a standoff, an arbitration panel would make a binding decision on a winning offer. Frydenberg and Facebook confirmed that the two sides agreed to amendments to the proposed legislation. The changes would give digital platforms one month’s notice before they are formally designated under the code. That would give those involved more time to broker agreements before they are forced to enter binding arbitration arrangements.

A statement on Tuesday by Campbell Brown, Facebook’s vice president for news partnerships, added that the deal allows the company to choose which publishers it will support, including small and local ones. Frydenberg said his department will review the code within a year to ensure it is delivering outcomes that are consistent with government’s policy intent.

As demand for digital services skyrockets, the three largest public cloud vendors in the world have effectively taken over the hyperscale data center market, according to new data from Synergy Research Group.

Amazon, Microsoft and Google collectively now account for more than 50 percent of the world’s largest data centers across the globe as the three companies continue to spend billions each year on building and expanding their global data center footprint to accommodate the high demand for cloud services. The global COVID-19 pandemic spurred a record-breaking third quarter 2020 as data center spending reached $37 billion, led by AWS, Google and Microsoft.

The number of large data centers operated by hyperscale providers like AWS, Microsoft and Google increased to nearly 600 by the end of 2020, twice as many as there were in 2015. Amazon and Google opened the most new data centers in the past 12 months, accounting for half of the total amount of new hyperscale data centers opened in 2020.
There were 111 new hyperscale data centers opened in the last eight quarters, with 52 of those coming onstream in 2020 despite COVID-19 causing a few logistical issues,” said John Dinsdale, a Chief Analyst at Synergy Research Group in a statement. “That is testament to the ongoing robust growth in the digital services that are driving those investments – particularly cloud computing, SaaS, e-commerce, gaming and video services.”
The global COVID-19 pandemic has significantly shifted how businesses and organizations of all sizes buy and use online tools, from video-conferencing and virtual business events to entertainment and remote education. This change was enabled by cloud environments, particularly public clouds.
Businesses are gobbling up server, storage and networking products for their public cloud infrastructure at a rapid pace.

Spending on public cloud infrastructure reached a massive $13.3 billion in the third quarter of 2020 alone, representing an increase of 13 percent year over year, according to IT research firm IDC. Dell Technologies, Hewlett Packard Enterprise and Inspur are leading the market in terms of cloud infrastructure sales as the companies lead the server, storage and hyperconverged infrastructure markets.

“In addition to almost 600 operational data centers, we have visibility of a further 219 that are at various stages of planning or building, which is good news indeed for data center hardware vendors and wholesale data center operators,” said Synergy’s Dinsdale.

Compared to traditional data centers, hyperscale data centers contain much more IT products, typically housing tens of thousands of servers and hardware alongside millions of virtual machines. Hyperscale data centers focus on infrastructure optimization and scale acceleration in their designs and how products are powered and managed.

It is key to note that companies like AWS, Google and Microsoft don’t build every single data center by themselves, typically leasing capacity and space from data center operations like Digital Realty and Equinix. Synergy said that approximately 70 percent of all hyperscale data centers are located in facilities that are leased from data center operators or are owned by partners of the hyperscale operators.

In terms of geography, the U.S. accounts for almost 40 percent of the major cloud and internet data center sites. The next most popular regions are China, Japan, Germany, the U.K. and Australia, which collectively account for another 29 percent of the total, according to Synergy.

Global Personal Cloud market research report is a highly intelligent reference guide that is equipped with meticulous research output to derive accurate and optimum understanding on market growth synopsis in terms of value and volume. The report is a top-down assessment of all major touchpoints on the market and includes an elaborate vendor profile comprising emerging competitors as well as dominant market players aiming for lucrative break in the competition domain. Internationally acknowledged research practices such as SWOT analysis and PESTEL analysis have also been roped in the report with relevant details on revenue generation trends as well as technological innovations witnessing ample investments.

Competitor Profiling: Global Personal Cloud Market

Apple
Microsoft
Google
Amazon Web Services
Seagate
Dropbox
Egnyte
Buffalo Technology
Sugarsync
Box
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Direct Revenues
Indirect Revenues
Analysis by Application: Further in the subsequent sections of the report, research analysts have rendered precise judgement regarding the various applications that the Personal Cloud market mediates for superlative end-user benefits.

Individual
Small Enterprises
Medium Enterprises

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 Regional and Global Market Outlook: The report in its subsequent sections also encompasses veritable insights on region specific market performance. Further details in the report shed light on prominent growth hubs as well as vendor manufacturing and promotional activities across countries and regions that influence customer response. Details about import and export performance as well as production and consumption trends have also been discussed at length in the report.

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If you build or maintain software, you’re familiar with GitHub. Millions of developers rely on the massive code repository for everything from source code management to version control and team collaboration. But what’s it like to work there? Specifically, how much do GitHub’s engineers earn in exchange for smoothly maintaining the world’s largest host of source code?

For an answer, we can turn to levels.fyi, which crowdsources data about software engineer compensation at some of the world’s most prominent companies. And what we found was pretty interesting: GitHub’s senior software engineers make an extremely hefty salary in comparison to Google, Facebook, and Microsoft, which have a reputation as some of the highest-paying companies in tech.

How accurate is levels.fyi? Crowdsourcing isn’t the most scientific means of determining anything, especially when the sample sizes are relatively small. However, when we consult Glassdoor, which also crowdsources compensation data, we can see that it backs up levels.fyi’s claims of high engineering salaries. According to Glassdoor, the average base pay for all software engineers at GitHub is $159,072, with additional cash bonuses of $5,481 (remember, that includes junior as well as senior engineers).

As a company, GitHub has an interesting history. For years, it embraced a “flat” or “boss-less” organizational structure, without the tiers of middle managers that define many companies. However, this approach led to problems, such as claims (according to Wired) that the flat structure shielded some misbehaving employees from corporate scrutiny. As much as technologists sometimes buck against the perceived tyranny of management, organizational structures can help create and maintain a culture of accountability (if done right).

GitHub introduced more management into its organization, making it more “traditional.” In 2018, it took another huge step when it allowed Microsoft to acquire it for an eye-popping $7.5 billion. Advocates of open source felt the move was catastrophic, given Microsoft’s long history of attempting to squish Linux and open source; the tech giant’s history with acquisitions, including Skype and Nokia, is also pretty mixed. But so far, Microsoft seems determined to convince the tech world that its intentions around open source are good.

On a surface level, it’s clear from levels.fyi’s data that GitHub is more than happy to pay its software engineers a solid salary in a competitive market. After all, it probably doesn’t want those same engineers, with their priceless knowledge of building and maintaining systems at scale, to flee to the likes of Google or Facebook. As always, a specialized skill set will get you paid.

Cloud Computing Revenues Hit New Highs in Q2 2020

The world’s leading cloud computing providers reported another strong quarter in Q2 2020, driven largely by an accelerating global shift toward remote working triggered by the COVID-19 pandemic. Both Google Cloud and Amazon Web Services (AWS) posted significant year-on-year revenue growth, reinforcing the position of cloud infrastructure as one of the technology sector’s most resilient and fastest-growing segments.

AWS: $10.81 Billion in Q2 Revenue Despite Pandemic Headwinds

Amazon Web Services reported Q2 2020 revenues of $10.81 billion, representing year-on-year growth of 29%. While impressive in absolute terms, this marked the first time AWS growth had slipped below the 30% threshold, down from 33% recorded in Q1 2020.

Amazon acknowledged that the coronavirus pandemic had disrupted certain enterprise partnerships and affected consumption patterns among some of its largest customers. Nevertheless, AWS revenue accounted for approximately 12% of Amazon’s total revenue for the quarter, underlining the division’s strategic importance to the parent company’s overall financial performance.

Despite the pandemic-related friction, AWS expanded or deepened partnerships with high-profile organisations during the quarter, including video conferencing platform Zoom, workplace messaging tool Slack, and Formula 1, reflecting continued enterprise and media-sector appetite for scalable cloud infrastructure.

Google Cloud: 43% Year-on-Year Growth to $3.007 Billion

Google Cloud posted Q2 2020 revenues of $3.007 billion, up 43% year-on-year from $2.1 billion in Q2 2019, and up from $2.77 billion in the previous quarter. The growth rate was slightly below the 52% year-on-year increase recorded in Q1 2019, but represented a continued strong trajectory for the division.

Google CFO Ruth Porat commented on the results:

“GCP maintained the strong level of revenue growth it delivered in the first quarter, and its revenue growth was again meaningfully above cloud overall.”

Porat also addressed the slightly moderated growth rate in G Suite (now Google Workspace), attributing it to a pricing comparison effect:

“Overall, the lower Google Cloud revenue growth in the second quarter relative to the first quarter reflects the fact that G Suite lapped a price increase that was introduced in April last year. G Suite maintained healthy growth in average revenue per seat as well as in seat growth, which does not include customers who took advantage of our free trials as they shifted their employees to work-from-home.”

Google Cloud: A Bright Spot for Alphabet

Google Cloud’s strong performance was a notable bright point in an otherwise difficult quarter for parent company Alphabet. Q2 2020 marked the first quarterly revenue decline since Alphabet went public, with total revenue of $31.6 billion — a marginal drop from $31.7 billion recorded in the same period the previous year. The decline was driven primarily by a contraction in advertising revenue as businesses cut marketing budgets during the pandemic.

In this context, the cloud division’s double-digit growth served as a significant counterbalance, and analysts took note of its growing contribution to Alphabet’s overall revenue mix.

Microsoft Azure Also Surges 27% Year-on-Year

The strong results from Google Cloud and AWS were mirrored by the third member of the major cloud triad: Microsoft Azure. Azure revenues grew 27% year-on-year in Microsoft’s equivalent reporting period, driven by soaring demand for remote collaboration tools and cloud-hosted infrastructure. Microsoft’s Teams platform saw explosive adoption over the same period, further reinforcing Azure’s position as a full-stack enterprise cloud solution.

What This Means for the Cloud Market

The Q2 2020 results across all three hyperscalers point to several important trends for DevOps and infrastructure engineering teams:

• Remote work as a demand catalyst: The rapid shift to distributed teams pushed organisations to accelerate cloud migrations that might otherwise have taken years.
• Resilience of cloud revenue models: Even as overall corporate revenues contracted across many sectors, cloud infrastructure spending proved relatively insulated.
• Competitive dynamics remain tight: AWS retains the largest market share, but Google Cloud’s higher growth rate suggests it is closing the gap, at least in percentage terms. Azure’s enterprise positioning gives it a distinct advantage in regulated industries.
• SaaS integration matters: Google’s G Suite and Microsoft’s Teams/Office 365 ecosystem demonstrate how bundling productivity software with cloud infrastructure can drive seat-based recurring revenue.

For engineering teams evaluating cloud strategy, the financial health of these providers is a relevant signal: continued investment in infrastructure, tooling, and regional expansion is more likely when revenue growth remains strong.

Video: Cloud Computing Context

What Is GAIA-X?

GAIA-X is a joint Franco-German initiative to create a federated cloud computing ecosystem for Europe. Announced formally on 4 June 2020, the project aims to establish a common set of technical standards, regulatory requirements, and data governance rules that any cloud provider — European or otherwise — must meet to participate in the platform.

At launch, the initiative was governed by 22 founding cloud providers and users from Germany and France, including large industrial names such as ATOS, Bosch, and Siemens. A non-profit organisation was planned for establishment in Brussels to manage the platform’s rules, bylaws, and engineering requirements before opening membership to other European and international companies.

The Core Technical Goals

GAIA-X is not designed to build a single monolithic cloud platform. Instead, it aims to create a federated architecture with interoperability at its centre. The practical goals as stated at launch include:

• Portability: Users should be able to move data and workloads between any provider within the ecosystem without vendor lock-in or data loss.
• Transparency: Full visibility into who has access to data at any given time, addressing one of the persistent criticisms of hyperscaler cloud arrangements.
• Interoperability: Common engineering standards that allow services from different providers to work together seamlessly.
• Data sovereignty: Alignment with European data protection rules, particularly GDPR, so that European users retain meaningful control over their data.

Boris Otto, executive director of the Fraunhofer Institute for Software and Systems Technology and one of the architects behind GAIA-X, described the ambition this way: “What we want to create is a federated data infrastructure that makes sure that European values — like openness, interoperability, transparency about the use of the data, and trust — are ensured at all times.”

Why Now? The Political and Market Context

The idea originated in July 2019 in a conversation between German Economy Minister Peter Altmaier and Chancellor Angela Merkel. France formally joined the initiative in August 2019. By the time of the June 2020 launch, the COVID-19 pandemic had added urgency to the project: disrupted global supply chains had reinforced European concerns about strategic dependence on technology infrastructure outside their regulatory jurisdiction.

French Economy Minister Bruno Le Maire framed it in terms of geopolitical identity at the launch event: “We are not China, we are not the United States, we are European countries with our own values and with our own economic interests that we want to defend.”

German Economy Minister Altmaier described GAIA-X as “nothing less than a European moonshot in digital policy” and referenced the Greek goddess Gaia — worshipped as the mother of life — as the inspiration for the project’s name.

The Competitive Landscape: US Hyperscalers and the Lock-in Problem

The three dominant US cloud providers — Amazon Web Services, Microsoft Azure, and Google Cloud — collectively account for a substantial majority of the European cloud market. The difficulty of migrating between these platforms, due to proprietary APIs, data egress costs, and tightly integrated service dependencies, has long been identified as a structural barrier to competition.

GAIA-X directly targets this lock-in problem. By mandating interoperability and portability as baseline requirements for any provider in the ecosystem, the initiative aims to lower switching costs and create space for smaller European cloud providers to compete on merit rather than incumbency.

However, analysts cautioned against reading the initiative as a straightforward exclusion of US providers. Candice Tran Dai, an expert at the Global Foundation for Cyber Studies & Research, noted: “If you look at the cloud market from a business point of view, it would be very difficult to exclude non-EU cloud actors.”

Are US Hyperscalers Involved?

Despite the sovereignty language, GAIA-X has not positioned itself as a fortress against US providers. At the time of the launch:

• Amazon and Google had both participated in GAIA-X technical working groups and indicated willingness to continue.
• Microsoft indicated it was in active discussions about participation, stating it believed it could “ensure the appropriate technological architecture and meet the necessary operational principles.”

This participation reflects the pragmatic reality: excluding the dominant providers entirely would make GAIA-X less relevant to the European enterprises it is trying to serve. The practical goal, as Tran Dai framed it, is “standardisation and harmonisation” within a rules-based framework — not market exclusion.

Governance and Expansion Plans

The 22 founding members took responsibility for establishing the non-profit entity, its bylaws, and initial governance policies. Gerd Hoppe, member of the executive board at Beckhoff Automation, speaking on behalf of the founding group, described this phase as “a service for the future community of members.”

The roadmap at launch envisaged the platform becoming operational in early 2021, after which other EU member states would be invited to join, expanding GAIA-X from a Franco-German bilateral project into a genuinely pan-European data ecosystem. The longer-term ambition, according to Boris Otto of the Fraunhofer Institute, is that GAIA-X could become an exportable standard — much as GDPR extended European data protection norms globally — making it attractive to companies and countries beyond Europe.

DevOps and Engineering Implications

For DevOps engineers and cloud architects working in Europe, GAIA-X is worth tracking for several practical reasons:

• Portability standards: If GAIA-X mandates common APIs or data portability formats, it could reduce the cost and complexity of multi-cloud strategies for European workloads.
• Compliance alignment: Engineering requirements tied to GDPR and European data governance could simplify compliance architecture for organisations operating across EU jurisdictions.
• Vendor competition: Lowered switching costs and clearer interoperability requirements could make it easier to negotiate with providers and architect hybrid or multi-cloud environments.
• New provider opportunities: Analysts noted that a common framework could give smaller European cloud providers a stronger footing, potentially expanding the competitive options available to engineering teams.

Summary

GAIA-X represents Europe’s most concrete attempt to date to establish a rules-based, federated cloud ecosystem grounded in European data protection values. It is not an attempt to build a rival hyperscaler from scratch, nor is it a straightforward exclusion of US providers. Rather, it is an effort to define the terms on which any provider — domestic or foreign — can operate in a European cloud market, with portability, transparency, and interoperability as the baseline requirements. Whether those ambitions translate into meaningful market change depends on the standards that ultimately emerge and the rate of adoption across EU member states.

The Pandemic as a Forcing Function for Cloud Adoption

When governments across the world imposed lockdowns in early 2020, organisations faced an immediate, non-negotiable requirement: enable an entire workforce to operate remotely, often within days. For teams that had already invested in cloud infrastructure, the transition was painful but manageable. For those still running on-premises monoliths, the disruption was severe.

The result was a dramatic compression of cloud adoption timelines. Projects that had been planned over multi-year roadmaps were executed in weeks. The pandemic did not create the business case for cloud computing — it simply removed every reason to delay it.

Market Growth: Steady Demand Before and After COVID-19

Cloud computing was already on a strong growth trajectory before the pandemic. According to a MarketsandMarkets report cited at the time of writing (mid-2020), the global cloud computing market was projected to grow from approximately $233 billion in 2019 to around $295 billion by 2021, representing a compound annual growth rate (CAGR) of roughly 12.5%.

The pandemic is widely considered to have accelerated — rather than created — this trend. Increased digital activity across collaboration, education, e-commerce, media streaming, and digital payments all drove additional cloud workloads during lockdown periods. This translated into meaningful revenue and infrastructure expansion for the major hyperscale providers.

Elasticity and Scalability: Why Cloud Infrastructure Held Up

One of the most significant technical validations of cloud architecture during the pandemic was the ability of major providers to absorb sudden, massive demand spikes without widespread service degradation. Video conferencing, VPN gateways, collaboration platforms, and streaming services all saw usage multiply in a matter of days.

This is the core value proposition of elastic cloud infrastructure:

• Horizontal scaling on demand: Cloud platforms can provision additional compute, memory, and storage capacity within minutes, rather than the weeks or months required to procure and rack physical hardware.
• Pay-as-you-go cost models: Organisations that experienced usage spikes could scale up temporarily without committing to permanent capital expenditure.
• Global distribution: Hyperscale providers operate across multiple geographic regions, allowing traffic to be rerouted and load balanced as demand patterns shifted.
• Managed networking: Extending access to a remote workforce — via cloud-hosted VDI, VPN, or Zero Trust Network Access (ZTNA) solutions — was significantly faster for cloud-native organisations than for those dependent on on-premises perimeter hardware.

For DevOps and platform engineering teams, the lesson was clear: investing in infrastructure-as-code, auto-scaling policies, and cloud-native architectures pays dividends precisely when demand is least predictable.

Security Implications: Cloud as a Security Enabler

Security is frequently cited as a barrier to cloud adoption, but the pandemic reframed this argument. With physical access to on-premises data centres restricted and security personnel working remotely, maintaining the integrity of self-hosted infrastructure became significantly more difficult.

Cloud platforms offer several operational security advantages relevant to this scenario:

• Managed patch and vulnerability response: Major cloud providers maintain dedicated security engineering teams that can respond to emerging threats at a scale most individual organisations cannot match.
• Remote monitoring and observability: Cloud-hosted workloads can be monitored, audited, and incident-responded to entirely remotely — no physical data centre access required.
• Distributed disaster recovery: Cloud-based DR strategies — using geographically separated availability zones or regions — are more resilient than single-site physical backup arrangements.
• Identity and access management: Cloud-native IAM tools support fine-grained, auditable access control for remote workforces without relying on traditional perimeter-based models.

That said, the shared responsibility model means that misconfigured cloud resources remain a significant source of data breaches. The security benefits of cloud infrastructure are only realised when teams apply sound configuration management and follow provider-recommended hardening guidance.

Hyperscaler Response: Discounts, Capacity, and Customer Support

During the initial lockdown period, major cloud providers — including AWS, Microsoft Azure, and Google Cloud — took steps to support customers experiencing sudden capacity requirements. Reported measures included extended credit programmes, discounted or free tiers for specific services (particularly collaboration and remote access tools), and direct support for healthcare and government workloads.

These actions had a secondary commercial effect: organisations that had been evaluating cloud migration were given a low-friction entry point to begin consuming cloud services. Many of those temporary adoptions have since become permanent workloads.

Long-Term DevOps Takeaways

The pandemic stress-tested cloud infrastructure at global scale and produced some durable lessons for engineering and operations teams:

• Business continuity plans must include cloud architecture decisions. The organisations that transitioned most smoothly to remote operations were those that had already externalised key workloads to cloud platforms.
• Auto-scaling and load testing are not optional. Demand spikes can be unpredictable. Elastic infrastructure that has been load tested and has well-defined scaling policies is significantly more resilient.
• Remote-first operational tooling matters. If your monitoring, deployment pipelines, and incident response workflows require physical access to infrastructure, they will fail at the worst possible time.
• Cloud migration debt compounds. Organisations that deferred cloud adoption before 2020 faced a harder, more expensive emergency migration. Incremental, planned cloud adoption reduces this risk.

The COVID-19 pandemic will be studied for years as a case study in the real-world value of resilient, elastic, remotely operable infrastructure. For DevOps practitioners, the takeaway is not that cloud is a panacea — it is that deliberate architectural investment pays off precisely when conditions are most extreme.

Overview

Even against the backdrop of the COVID-19 pandemic in early 2020, cloud computing providers continued to push forward with strategic expansions and leadership changes that directly affected their channel ecosystems. Three announcements stood out: Rackspace’s deepened investment in the Middle East and Africa, IBM’s appointment of a new cloud leader under incoming CEO Arvind Krishna, and Zenoss’s launch of a dedicated EMEA cloud zone. Here’s what each development means for partners and customers.

Rackspace Expands EMEA Presence to Address Cloud Skills Gap in the Middle East

Rackspace — a managed cloud and hosting provider that works across AWS, Google Cloud Platform, and Microsoft Azure — announced a multimillion-dollar investment to deepen its footprint in the Middle East and Africa region. The move was designed to open new opportunities for channel partners, including distributors, master agents, systems integrators, and value-added resellers (VARs) operating in the region.

Lisa McLin, Vice President of Alliances and Channel Chief at Rackspace, told Channel Futures that the expanded investment aimed to bring “additional local resources to help address the dearth of cloud skills in the Middle East.” Rackspace manages private and public cloud deployments on behalf of end users, providing an unbiased, multi-cloud approach that suits the complexity of enterprise environments in the region.

George Pawlyszyn was named General Manager for Rackspace’s Middle East and Africa strategy. According to McLin, Pawlyszyn is focused on “providing trusted and unbiased expertise to migrate customers to the cloud securely, and enhance existing customers’ environments whilst working closely with partners.”

At the time of the announcement, Rackspace already served more than 500 customers in the Middle East. To support growth, the company launched a new hub in Dubai, housing salespeople, professional services consultants, and marketing personnel.

“The cloud market is growing significantly in the region and customers are increasingly requiring unbiased experts to support them on their cloud journey.”

Martin Blackburn, Managing Director, EMEA, Rackspace

For channel partners, this kind of regional investment typically translates to more localized sales support, co-selling opportunities, and access to Rackspace’s multi-cloud managed services portfolio closer to end customers.

IBM Appoints Howard Boville as Senior Vice President of IBM Cloud

In a significant leadership move, newly appointed IBM CEO Arvind Krishna — who himself previously led IBM’s cloud computing division before replacing Virginia Rometty — named Howard Boville as Senior Vice President of IBM Cloud, effective May 2020.

Boville joined IBM from Bank of America, where he served as Chief Technology Officer. Notably, the two organizations had already been collaborating to build cloud platforms tailored for the financial services sector, making Boville a familiar face in the IBM ecosystem.

In his new role, Boville was positioned to lead IBM’s cloud strategy with a specific emphasis on hybrid cloud — a priority that IBM has consistently placed at the center of its competitive positioning against hyperscalers such as AWS, Google Cloud, and Microsoft Azure. He also assumed oversight of IBM’s global cloud infrastructure, which at the time included:

• More than 60 cloud data centers
• Operations spanning 19 countries
• 18 availability zones across six geographic regions

The appointment signaled IBM’s intent to accelerate its hybrid cloud narrative — an approach underpinned by the 2019 acquisition of Red Hat — and to compete more aggressively in enterprise cloud deals where workload portability and data sovereignty are critical concerns.

Zenoss Launches Dedicated EMEA Cloud Zone in Frankfurt

Zenoss, an Austin, Texas-based company that develops monitoring analytics software for cloud, hybrid, and on-premises IT environments, announced the availability of a dedicated EMEA cloud zone for its Zenoss Cloud SaaS platform. The zone is hosted in Frankfurt, Germany.

The Frankfurt location was selected for its strong data protection credentials. Specifically, Zenoss cited compliance with the German Bundesdatenschutzgesetz (BDSG) — Germany’s federal data protection act — as a key factor, alongside alignment with GDPR requirements affecting European customers.

“Zenoss Cloud has taken off domestically, and we’ve been experiencing increased demand for separate instances in other regions. We’re dedicated to serving our customers around the world, and this new zone will provide full-stack monitoring and AIOps with the highest levels of data protection.”

Greg Stock, Chairman and CEO, Zenoss

With this launch, all U.S.-based Zenoss Cloud services became available to EMEA customers from a regionalized, dedicated instance — an important distinction for organizations subject to data residency requirements.

Zenoss Cloud is a SaaS-based platform that provides full-stack monitoring and AIOps capabilities, helping IT teams maintain performance visibility across complex, hybrid environments. The company’s strategic alliance partners at the time included AWS, Accenture, Cisco, and NTT Data. It also offered its software through marketplace partnerships on AWS, CenturyLink, Cisco, Rackspace, and ServiceNow.

Zenoss indicated that additional regional zones were planned following the EMEA launch. According to the company, both partners and customers had already begun using the Frankfurt-based EMEA zone at the time of the announcement.

Key Takeaways for Channel Partners

• Rackspace’s EMEA expansion creates new co-sell and referral opportunities for VARs, MSPs, and systems integrators in the Middle East, backed by a formal hub in Dubai and named regional leadership.
• IBM’s hybrid cloud focus under Boville reinforces the company’s enterprise positioning — partners building IBM-aligned hybrid cloud practices can expect continued investment and messaging support from the vendor.
• Zenoss’s EMEA zone removes a key barrier for European customers concerned about data residency, making the platform easier for EMEA-based partners to position and sell.

All three announcements reflect a broader trend: cloud providers are doubling down on regional infrastructure, local expertise, and partner ecosystems as enterprise adoption of multi-cloud and hybrid environments accelerates globally.

Why Retail Banking Is Embracing the Cloud

Retail banks face a distinctive set of challenges that make cloud adoption particularly compelling:

• Legacy modernisation: Many banks run core systems that are decades old. Cloud platforms offer a migration path—either lift-and-shift or full re-architecture—that reduces dependence on expensive on-premise hardware.
• Elasticity and cost control: Transaction volumes in banking are highly seasonal (end-of-month payroll runs, holiday spending spikes). Cloud infrastructure scales on demand, converting large fixed capital expenditure into variable operating expenditure.
• Speed to market: Cloud-native development tooling, managed APIs, and pre-built financial-services accelerators let banks ship new products faster than traditional waterfall cycles allow.
• Data and analytics: Centralising customer data in a cloud data platform enables real-time fraud detection, personalised product recommendations, and regulatory reporting at scale.
• Resilience and compliance: Hyperscaler cloud regions offer multi-zone redundancy that is difficult and expensive to replicate in a private data centre. Many regulators now publish explicit guidance on cloud risk management for financial institutions.

Major Vendors Active in This Space

The vendor landscape spans global hyperscalers, enterprise software providers, systems integrators, and regional cloud players. Key organisations frequently cited in this market include:

Global Hyperscalers

• Amazon Web Services (AWS) – broad financial-services partner ecosystem, dedicated compliance programmes (PCI-DSS, SOC 2), and purpose-built services such as Amazon FinSpace.
• Microsoft Azure – strong enterprise relationships, Azure for Financial Services industry vertical, and deep integration with Microsoft 365 and Dynamics.
• Google Cloud – focus on data analytics (BigQuery), AI/ML workloads, and anti-money-laundering AI products.
• Alibaba Cloud, Tencent Cloud, Baidu AI Cloud, Huawei Cloud, UCloud, Kingsoft Cloud – dominant in the Asia-Pacific market, particularly serving Chinese retail banks and financial super-apps.
• China Telecom Cloud / China Unicom Cloud – carrier-grade cloud infrastructure for domestically regulated Chinese financial institutions.
• Intel – underpins cloud infrastructure at the silicon level; relevant through confidential computing initiatives (Intel SGX) that address banking data-privacy requirements.

Enterprise Software and SaaS Vendors

• IBM – hybrid cloud and AI via IBM Cloud and the watsonx platform; long-standing relationships with core banking system operators.
• Oracle – Oracle Financial Services Analytical Applications (OFSAA) and Oracle Cloud Infrastructure (OCI) for banking workloads.
• SAP – finance and HR cloud suites widely used in the back-office of large banks.
• Salesforce – CRM and customer engagement platform with Financial Services Cloud.
• Workday – cloud-native HR and finance management adopted by bank back-offices.
• Intuit – small-business and consumer financial software increasingly delivered as cloud services.
• Ellie Mae (now ICE Mortgage Technology) – cloud platform for mortgage origination workflows.
• Medidata / Veeva Systems – primarily life-sciences SaaS vendors; their inclusion in some market reports reflects broader cloud-platform research scope.

Systems Integrators

• Infosys, TCS (Tata Consultancy Services), Wipro – large Indian IT services firms that implement, migrate, and manage cloud environments for retail banks globally. Each has dedicated banking and financial-services practices.

Banking-as-a-Platform Pioneers

• BBVA – often cited as an early example of a traditional bank that has made significant public cloud investments and open-API strategies central to its technology roadmap.
• Bankinter – Spanish bank that has pursued cloud-native architecture for internal platforms.

Market Segmentation

Analysis of cloud adoption in retail banking typically breaks the market along three axes:

By Service Model

• Infrastructure as a Service (IaaS): Banks migrate compute, storage, and networking to cloud providers—often the starting point for legacy modernisation programmes.
• Platform as a Service (PaaS): Development teams use managed databases, container orchestration, and CI/CD pipelines to build banking applications faster.
• Software as a Service (SaaS): CRM, HR, lending origination, and risk-reporting tools consumed as subscription services, reducing internal maintenance overhead.

By Deployment Model

• Public cloud: Shared hyperscaler infrastructure. Offers the greatest scalability and broadest service catalogue.
• Private cloud: Dedicated infrastructure operated either on-premise or in a colocation facility. Preferred for workloads with strict data-residency or latency requirements.
• Hybrid cloud: The most common real-world pattern in retail banking. Sensitive customer data or core transaction systems remain on private infrastructure, while analytics, digital channels, and development environments run on public cloud.
• Multi-cloud: Banks distribute workloads across two or more public providers to avoid vendor lock-in and meet regulatory concentration-risk requirements.

By Application / Use Case

• Core banking system migration
• Digital and mobile banking channels
• Payments processing and real-time settlement
• Fraud detection and anti-money-laundering (AML)
• Customer analytics and personalisation
• Regulatory reporting and compliance
• Disaster recovery and business continuity

By Region

• North America: Mature market; large banks have multi-year cloud programmes in progress with all three major hyperscalers.
• Europe: Regulatory scrutiny (DORA, EBA cloud outsourcing guidelines) shapes adoption; strong multi-cloud and data-sovereignty focus.
• Asia-Pacific: Fastest-growing region; domestic cloud providers hold significant share in China; digital-first banks in Southeast Asia are natively cloud-built.
• Latin America, Middle East & Africa: Emerging adoption driven by mobile banking expansion and infrastructure leapfrogging.

Key Growth Drivers

• Digital transformation investment: Customer demand for seamless mobile and online banking experiences requires modern, cloud-hosted architectures that traditional data centres struggle to support.
• Open banking mandates: Regulations such as PSD2 in Europe require banks to expose APIs—cloud PaaS environments are the natural home for API gateways and developer portals.
• AI and machine learning: Credit scoring, chatbots, document processing, and fraud detection all require GPU-intensive compute that is economically delivered through cloud pay-per-use models.
• Fintech competition: Challenger banks and payment fintechs are cloud-native by default. Incumbents are investing in cloud to close the product-velocity gap.
• Pandemic-driven acceleration: The shift to remote work and a sharp increase in digital transaction volumes after 2020 exposed the limitations of on-premise scaling.

Key Challenges and Risk Considerations

• Regulatory and data-residency compliance: Banking regulators in many jurisdictions impose requirements on where customer data is stored and how cloud providers are audited. Navigating these rules adds complexity to cloud procurement.
• Concentration risk: Regulators are increasingly concerned that systemic dependence on a small number of hyperscalers could represent a financial-stability risk if a major provider experiences a prolonged outage.
• Migration complexity: Core banking systems written in COBOL or proprietary languages are notoriously difficult to migrate without introducing operational risk.
• Security and shared responsibility: The cloud shared-responsibility model requires banks to maintain robust identity management, encryption, and logging practices—areas where gaps can create significant exposure.
• Skills gap: Cloud-native development, DevSecOps, and cloud cost optimisation require skills that many traditional IT departments must build or hire.

Outlook

Cloud adoption in retail banking is no longer an emerging trend—it is mainstream. The competitive and regulatory environment continues to push banks toward greater cloud maturity: moving beyond lift-and-shift migrations toward cloud-native architectures, real-time data platforms, and AI-driven services. Vendors that combine deep financial-services domain expertise with strong cloud engineering capability are well positioned to capture the largest share of this market over the coming years.

Banks evaluating cloud strategy should prioritise a clear hybrid or multi-cloud target architecture, proactive regulatory engagement, and a genuine investment in internal cloud engineering skills—rather than treating cloud purely as an outsourcing exercise.