Ingram Micro Cloud has formed a strategic collaboration with nOps, a provider of cloud management software-as-a-service (SaaS) and Amazon Web Services (AWS) Advanced Technology Partner.

The alliance expands Ingram Micro’s offering of tools for reseller partners and managed service providers (MSPs) designed to help build an efficient, secure, and high-performing AWS infrastructure for their applications and workloads.

Ingram Micro Cloud, an AWS Advanced Consulting Partner and AWS Distributor, claims to be ‘dedicated to accelerating the growth of AWS Consulting and Technology Partners globally.’

Leveraging the nOps platform, Ingram Micro partners should be able to better maintain their customers’ AWS environments by ensuring continuous alignment with AWS Well-Architected Framework guidelines.

The addition of nOps offerings is expected to help Ingram Micro partners more efficiently execute AWS Well-Architected Reviews designed to identify risk, provide cost-optimisation insights and root cause analysis, and deliver fact-based assessments and remediation proposals to customers that drive higher project win rates.

“Our guiding mission at Ingram Micro Cloud is to provide our channel partners with access to the industry’s largest and most robust cloud services portfolio, and nOps was an outstanding addition,” says Ingram Micro Cloud cloud channel sales vice president Victor Baez.

“We anticipate that, working with nOps, we can better empower our partners to build next-generation MSP practices that drive greater value and revenue opportunities for our channel partners.”

“nOps is thrilled to team with Ingram Micro. We share mutual excitement and expectations of scaling nOps’ success in helping AWS Consulting Partners and AWS MSP Partners grow their AWS practice while delivering outstanding support to customers. Our cloud management platform and Ingram Micro’s combination of scale and commitment to partner enablement is a winning combination,” says nOps CEO and founder JT Giri.

Kaizen Technology Partners CEO Dao Jensen adds, “Given our 20+ years of experience as results-driven Cloud technology experts, we’ve worked strategically with both Ingram Micro and nOps and are honored to see their collaboration bring more value to our AWS practice. As an AWS Advanced Consulting Partner, we are dedicated to solving our customers’ needs first and look forward to streamlining the way we help them optimise their cloud infrastructure and drive success.”

Cloud computing is a buzzword these days. As Microsoft puts it, “Cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale.

You typically pay only for cloud services you use, helping lower your operating costs, run your infrastructure more efficiently and scale as your business needs change.” The reason for calling it cloud computing is that the cloud symbol has been in use since the 1990s to represent the Internet in computer network diagrams. So, cloud computing is nothing but computing activities carried out over the internet.

If you have been using Web-based email service, you have been using cloud computing of sorts. The email operations of accepting, forwarding, delivering, and storing email messages and attachments is carried out not by your computer (called the client) but by the email servers (computers, programs and data storage systems located elsewhere) contacted over the internet. As a matter of fact, this client-server model was developed in the 1970s, and is the basis for cloud computing. Cloud computing has the potential to transform not only our personal lives, but also the operational efficiency of small and big businesses.

Types of Cloud Computing
Public clouds: These are owned and operated by a third-party cloud service provider, which deliver their computing resources like servers and storage over the Internet, e.g., Microsoft Azure. Here, all hardware, software and other supporting infrastructure is owned and managed by the cloud provider. You access these services and manage your account using a web browser.

Private clouds: This refers to cloud computing resources used exclusively by a single business or organization, one in which the services and infrastructure are maintained on a private network. It can be physically located on the company’s on-site datacenter. Some companies also pay third-party service providers to host their private cloud.

Hybrid clouds: These combine public and private clouds, with technology that allows data and applications to be shared between them. This allows for greater flexibility, more deployment options and helps optimise your existing infrastructure, security and compliance.

Types of Cloud Computing Services
These days, access to internet allows us to access our applications and data from any device, anywhere at any time. Sitting in a café, you can view and edit your documents with your mobile, using Microsoft’s Office Web Apps, Google Docs and Zoho Office. This is the cloud computing service model ‘Software as a Service’ (SaaS).

Creative SaaS applications are music composition and audio-editing tools from Aviary, online video editors from JayCut and Pixorial, and online photo editors from Aviary and Pixlr. Most domestic users are going to need only SaaS applications. But SaaS is restrictive for businesses and companies, who need to develop and run their own software applications. For them, ‘Platform as a Service’ (PaaS) and ‘Infrastructure as a Service’ (IaaS) are on offer.

Traditionally, only large companies could afford to purchase the most sophisticated software. But with cloud computing on the horizon, even small- and medium-sized companies can afford them because they would be paying only for the software application, processing power, and data storage that they actually use on a pay-as-you-go basis. Big companies, too, can take advantage of cloud computing models because by availing them they can shift their focus from IT-related company activities and focus more on their core business.

PaaS provides companies with online software development tools and hosting facilities. Also, you can use PaaS to build your own SaaS applications. Some of the companies that offer PaaS are Google (App Engine), Microsoft (Azure), and Salesforce (CRM system). IaaS offers even more freedom than PaaS. Companies can use it to migrate all of their existing applications from their own data center to a cloud computing vendor. A large IaaS vendor is Amazon, which offers Elastic Compute Cloud (Amazon EC2) wherein you can purchase online processing capacity by the hour.

Advantages of Cloud Computing
• Reduced costs: It eliminates the capital expense of buying hardware and software and setting up and running on-site datacenters—the racks of servers, the round-the-clock electricity for power and cooling, the IT experts for managing the infrastructure.
• Ability to scale up easily: It gives one the ability to scale elastically. That is, it delivers the right amount of IT resources—for example, more or less computing power, bandwidth, storage—right when it is needed and from the right geographic location.
• Improved performance: These services usually run on a worldwide network of secure datacenters, which are regularly upgraded to the latest generation of fast and efficient computing hardware, leading to reduced network latency for applications and greater economies of scale.
• Greater speed: Vast amounts of computing resources can be provisioned in minutes, typically with just a few mouse clicks, giving businesses a lot of flexibility and taking the pressure off capacity planning.
• Increased productivity: This removes the need for many of the tasks that on-site datacenters typically require in the form of a lot of “racking and stacking”—hardware setup, software patching, and other time-consuming IT management chores. This frees up the IT teams so that they can spend time on more important business goals.
• Reliable: It makes data backup, disaster recovery and business continuity easier and less expensive.

Concerns with Cloud Computing
Two biggest concerns with cloud computing are security and privacy. Companies would be handing over important and critical data to another company (the cloud vendor). So, whether that data is secure is a moot point as opposed to being with them under lock and key. Privacy is another problem because you never know who has unauthorized access to it. Then there are legal issues concerning ownership of data, backup of data, and data accessibility at all times.

With uncertainty and disruption swirling through the economy, being agile has never been more critical for a business.

It’s vital to change everything from workflows and supply chains to service delivery and communication channels if a business is to survive and thrive in the coming months. Taking a ‘business as usual’ approach is no longer an option.

Increasingly, this agile strategy is also being applied to the task of software development. Organisations realise that having the ability to write and test code quickly can mean the difference between capitalising on a new opportunity and missing out.

The rise of DevOps
To help in this process, growing numbers of organisations are embracing the DevOps approach to code creation. DevOps enables a business to be agile enough to quickly adapt or be the first to market.

Many are also realising the need to add identity to their DevOps strategy. Previously, identity initiatives have tended to stretch organisations’ limits while they struggle to keep pace with application growth.

Now, finally, DevOps is starting to gain traction in the identity space, and for good reason — identity is becoming a crucial part of application onboarding. Without collaboration between identity teams and DevOps teams, many of the intended benefits of DevOps can quickly unravel.

The DevOps approach to software development breaks down traditional silos by eliminating manual tasks and replacing them with automation so that releases and updates can be pushed out faster and more frequently.

At its core, DevOps improves the efficiencies between application development and IT operations or infrastructure teams. Previously, developers would make manual requests to identity teams or IT ops and lose valuable time.

In DevOps, the identity teams enable the software to be consumable via APIs or infrastructure-as-code, which are the preferred methods for developers.

Also, the DevOps model has specific tools for implementation. The most common include Docker, which enables software in images or ‘containers,’ and Kubernetes, which is the orchestration engine that manages containers. These tools allow developers to easily spin up infrastructure and perform updates with minimal interruption.

DevOps and identity
When launching a new service or deploying a new application, it’s critical to do so within an organisation’s existing identity ecosystem. This is typically achieved by using a federation hub or centralised authentication services.

However, many identity teams struggle to keep up with the sheer volume of requests that come from the DevOps environment, which can significantly outnumber the release cycles of other application methodologies.

Also, in many cases, developers don’t care about the details of effective identity management. At the same time, the identity team doesn’t need to have DevOps experts to enable developers.

For identity to be consumed in a DevOps environment, identity teams need to prepare pre-configured profiles or images. They then need to make them readily available on the most popular tools used by DevOps teams. And most importantly, identity teams need the ability to centrally manage identity as the DevOps environment scales.

This can be achieved by using containers that allow an identity platform to be pre-packaged and consumed in any app environment. It’s also essential to have a centralised way of managing identity and understanding how it’s deployed in a DevOps environment.

The power of the container
When identity is deployed via containers, it provides operational flexibility that can have a significant impact on a business. Some of the key benefits include:

Consistent delivery: Deploying configurations as code eliminates the need for manual processes. This allows development teams to deploy identity with confidence in a repeatable manner.

Platform flexibility: Tools such as Docker and Kubernetes are platform agnostic and based on open standards, providing an organisation with an improved level of independence.

Better deployments: It’s also possible to leverage cloud scaling capabilities to meet demand, SLAs and other defined thresholds. Auto-scaling and auto-healing features optimise spending so that the organisation is using only the capacity that it requires.

Cloud flexibility
Building identity into DevOps processes does not limit teams to working in just one environment. Essentially, anywhere that you can put a Docker image, you can put identity. Docker images can be deployed in any cloud, including AWS, Azure and Google Cloud.

Docker images can also be deployed directly to an on-premises data centre for mission-critical use cases where uptime needs to remain under strict control. Whatever environment you choose, DevOps ensures that you easily move and re-apply your identity infrastructure when required.

Ensuring identity is included in any DevOps strategy can deliver significant advantages for an organisation. Rather than being seen as a necessary evil, it can become a crucial component in an agile and powerful infrastructure.

With uncertainty and disruption swirling through the economy, being agile has never been more critical for a business.

It’s vital to change everything from workflows and supply chains to service delivery and communication channels if a business is to survive and thrive in the coming months. Taking a ‘business as usual’ approach is no longer an option.

Increasingly, this agile strategy is also being applied to the task of software development. Organisations realise that having the ability to write and test code quickly can mean the difference between capitalising on a new opportunity and missing out.

The rise of DevOps
To help in this process, growing numbers of organisations are embracing the DevOps approach to code creation. DevOps enables a business to be agile enough to quickly adapt or be the first to market.

Many are also realising the need to add identity to their DevOps strategy. Previously, identity initiatives have tended to stretch organisations’ limits while they struggle to keep pace with application growth.

Now, finally, DevOps is starting to gain traction in the identity space, and for good reason — identity is becoming a crucial part of application onboarding. Without collaboration between identity teams and DevOps teams, many of the intended benefits of DevOps can quickly unravel.

The DevOps approach to software development breaks down traditional silos by eliminating manual tasks and replacing them with automation so that releases and updates can be pushed out faster and more frequently.

At its core, DevOps improves the efficiencies between application development and IT operations or infrastructure teams. Previously, developers would make manual requests to identity teams or IT ops and lose valuable time.

In DevOps, the identity teams enable the software to be consumable via APIs or infrastructure-as-code, which are the preferred methods for developers.

Also, the DevOps model has specific tools for implementation. The most common include Docker, which enables software in images or ‘containers,’ and Kubernetes, which is the orchestration engine that manages containers. These tools allow developers to easily spin up infrastructure and perform updates with minimal interruption.

DevOps and identity
When launching a new service or deploying a new application, it’s critical to do so within an organisation’s existing identity ecosystem. This is typically achieved by using a federation hub or centralised authentication services.

However, many identity teams struggle to keep up with the sheer volume of requests that come from the DevOps environment, which can significantly outnumber the release cycles of other application methodologies.

Also, in many cases, developers don’t care about the details of effective identity management. At the same time, the identity team doesn’t need to have DevOps experts to enable developers.

For identity to be consumed in a DevOps environment, identity teams need to prepare pre-configured profiles or images. They then need to make them readily available on the most popular tools used by DevOps teams. And most importantly, identity teams need the ability to centrally manage identity as the DevOps environment scales.

This can be achieved by using containers that allow an identity platform to be pre-packaged and consumed in any app environment. It’s also essential to have a centralised way of managing identity and understanding how it’s deployed in a DevOps environment.

The power of the container
When identity is deployed via containers, it provides operational flexibility that can have a significant impact on a business. Some of the key benefits include:

Consistent delivery: Deploying configurations as code eliminates the need for manual processes. This allows development teams to deploy identity with confidence in a repeatable manner.

Platform flexibility: Tools such as Docker and Kubernetes are platform agnostic and based on open standards, providing an organisation with an improved level of independence.

Better deployments: It’s also possible to leverage cloud scaling capabilities to meet demand, SLAs and other defined thresholds. Auto-scaling and auto-healing features optimise spending so that the organisation is using only the capacity that it requires.

Cloud flexibility
Building identity into DevOps processes does not limit teams to working in just one environment. Essentially, anywhere that you can put a Docker image, you can put identity. Docker images can be deployed in any cloud, including AWS, Azure and Google Cloud.

Docker images can also be deployed directly to an on-premises data centre for mission-critical use cases where uptime needs to remain under strict control. Whatever environment you choose, DevOps ensures that you easily move and re-apply your identity infrastructure when required.

Ensuring identity is included in any DevOps strategy can deliver significant advantages for an organisation. Rather than being seen as a necessary evil, it can become a crucial component in an agile and powerful infrastructure.

Samsung and VMWare are to collaborate on an extended 5G partnership, which will help telcos accelerate the rollout of their 5G networks across the globe.

The partnership will see VMWare optimise Samsung’s portfolio of products from Core to Edge to RAN for both containerised network functions (CNFs) and virtualised network functions (VNFs), using VMware Telco Cloud Platform.

“With innovative and open 5G networks beginning to transform the landscape, Samsung sees the value in delivering carrier-grade solutions with VMware that help CSPs easily embrace cloud native technology and efficiently deliver our network functions and services across their 5G networks with automation,” said Wonil Roh, senior vice president and head of Product Strategy and Networks Business at Samsung Electronics

The extended partnership represents a continuation of the pairs existing working relationship.

As part of the partnership, the companies have been working together at Samsung’s lab to optimise and accelerate the readiness of Samsung’s various VNFs and CNFs, such as vRAN, 5G Core, MEC, Management, and Analytics, with the VMware Telco Cloud Platform.

“The infrastructure supporting 5G will depend on virtualised and containerised network functions delivered from software-defined telco and edge cloud platforms,” said Shekar Ayyar, executive vice president and general manager, Telco and Edge Cloud Business Unit, VMware.

“We are thrilled to be working with Samsung to deliver carrier-grade solutions that leverage the VMware Telco Cloud portfolio to help CSPs seize this 5G moment and transform themselves into leading technology innovators.”

New Relic and Amazon Web Services (AWS) have formed a five-year Strategic Collaboration Agreement (SCA), committing to increased product integrations and development, and joint go-to-market activities designed to help customers accelerate and de-risk their cloud adoption journey.

“AWS is delighted to establish a strategic collaboration with New Relic as we share a common commitment — helping customers innovate and migrate faster to the cloud,” says Amazon Web Services AWS sales and marketing vice president Matt Garman.

“This collaboration integrates New Relic’s comprehensive observability capabilities with industry-leading cloud services from AWS to accelerate the value New Relic can offer to clients.”

Joint customer benefits of the SCA include:

Collaboration to simplify the discovery and adoption of New Relic One by AWS customers.
New Relic and AWS will collaborate on making it easy for developers to send telemetry data from AWS services into New Relic One, improving observability and accelerating their cloud adoption.

Consolidated purchasing and billing through AWS Marketplace.
New Relic One is now available in AWS Marketplace, allowing customers to consolidate their billing by purchasing New Relic One directly through AWS. New Relic One is also available through both the AWS Marketplace Seller Private Offers and AWS Marketplace Consulting Partner Private Offers (CPPO) programs.

Joint go-to-market activities.
The companies will engage in co-marketing and co-selling programs built around incentives and accelerators that create more value for customers.
“New Relic and AWS are coming together to create an incredibly compelling go-to-market and technology alliance designed to help the world’s developers build more perfect software in the cloud,” says New Relic CEO and founder Lew Cirne.

“Our vision for this strategic collaboration is to expand New Relic’s reach, making it just as easy and seamless for developers to purchase New Relic through AWS, as it is for consumers to buy goods from third-party sellers on Amazon.com.”

New Relic One is a cloud-based observability platform built to help customers create software.

It includes:

Telemetry Data Platform to collect, visualise, and alert on all types of application and infrastructure data at petabyte scale. It is designed to be a single source of truth for all operational data.
Full-Stack Observability to easily analyse and troubleshoot the entire software stack across APM, infrastructure, logs, and the digital customer experience in one connected experience.
Applied Intelligence to detect, understand, and resolve incidents faster.
“AWS and New Relic have successfully worked in lockstep over the years to address some of the biggest cloud challenges facing customers across the region. Many are facing increasingly complex IT and business environments comprising multiple cloud architectures across different locations. In partnership with AWS, New Relic has successfully helped customers accelerate their cloud migration journey, optimise their cloud resource consumption and costs, and scale for their biggest days,” says New Relic Asia-Pacific and Japan executive vice-president and general manager Dmitri Chen.

For many businesses, the impact of Covid-19 has brought the benefits and limitations of their IT landscape into focus. As companies look ahead to a post-pandemic era, many will need to consider how to meet different needs and priorities with potentially limited resources. The challenge is that many are overly reliant on legacy infrastructure, with these systems accounting for 74% of a company’s IT spend.

Making important changes such as migrating on-premises workloads to the cloud will eventually help reduce costs, increase agility, and pay ROI dividends. However, with the current business conditions, this is easier said than done and there are multiple factors that organisations need to consider. Enterprises need to be empowered with knowledge of the best tools and practices related to cloud-based technology in order to prioritise investments and optimise costs. Here are five key ways for companies to better their IT spending and operational efficiencies:

Take advantage of new tools for cloud agility and IT cost reduction
During unpredictable times, businesses need an architecture that provides the agility and flexibility needed to help adapt to change or even take advantage of it. New container-based “cloud-native” tools and services have emerged to serve this purpose and aim to simplify and accelerate app modernisation both on-premises in public clouds.

New tools like Google Cloud’s Anthos help companies develop, secure, and manage modern cloud apps at scale across multi clouds and leverage existing hosting investments. It can help cut licensing and training costs, increase development speed and the efficiency of operations teams.

Avoid costly hardware refreshes and reduce on-premises infrastructure costs by migrating VMs to the cloud
Migrating VMware workloads to the cloud is another method for businesses who are looking to harness the advantages of hybrid cloud, while streamlining their operations and reducing costs. However, many enterprises often find the process of migrating VMs daunting. As a solution, there are now fully managed VMware-as-a-service tools available from cloud providers which can migrate and run VMware workloads seamlessly.

This is a great option for businesses that understand the benefits of moving to the cloud but consider migration challenging. After all, it’s not just moving applications, it’s moving disaster recovery, backup, changes in security policies, monitoring, and more.

Using a VMware-as-a-service solution means that VMware-based workloads can benefit from the performance, scale, and security of the cloud without the need to refactor during the migration process.

Modernise your data warehouse for scalability and seamless access to advanced analytics
According to IDC, the amount of data will grow from 33 ZB in 2018 to 175 ZB by 2026. Legacy data warehouses were not designed to handle today’s explosive data growth and are not optimised to run advanced analytics or scale quickly and efficiently. They’re also extremely expensive to purchase and maintain, and easily run out of capacity, leaving them unable to keep up with increased business analytics demands. Similarly, alternative “big data” solutions are difficult to operate at scale, suffer from infrastructure complexity and require specialist skills to use.

In an age where consumer behaviour is rapidly shifting, data warehouse modernisation can support today’s growing analytics needs by increasing agility and efficiency with serveless analytics — all at a lower cost. Cloud data warehouses drive insights and actions much faster. so organisations can make smarter, informed decisions and improve business operations. It also provides easy access to advanced analytics through artificial intelligence and machine learning.

Companies that use data effectively are 2.3x more likely to succeed during industry disruptions. They are 6x more likely to retain customers and 19x more likely to be profitable.

Apply AI to rapidly respond to customers across contact centres and more
As entire industries have shifted to meet customer needs in new and unexpected ways, many organisations are experiencing dramatic spikes in customer questions and support requests. Applying AI speech and language understanding models can help businesses answer simple questions promptly, freeing up contact centre agents time to focus on more complex customer needs. Integrating AI into contact centre customer services can help to improve call deflection rates, achieve shorter handling times, and reduce agent training costs, making overall operations faster and more effective.

Organisations can set up new chatbot-based services within two weeks to help respond to their customers more quickly and efficiently, especially as it relates to critical information around COVID-19. These models are designed to provide a first line of response through 24/7 conversational self-service support via chat or over the phone.

Transform the way your teams work together
Migrating parts of your IT ecosystem to the cloud is only one part of operational efficiency. It’s important not to ignore how you can better serve your employees. Individuals and teams also need tools that allow them to collaborate seamlessly and work from anywhere. That said, keeping teams connected and productive outside of the office has never been more challenging.

For many organisations, this has meant needing to quickly shift to cloud-based collaboration solutions to support effective remote work and collaboration. Tools like these have helped remote teams to work successfully together through video meetings, group chat, and document collaboration apps. By switching to collaboration tools such as G Suite can result in businesses seeing an increase in revenue and efficiency, risk reduction and a reduction in costs.

While there are a growing number of benefits for businesses migrating to the cloud, many still find the process overwhelming. Every company will have its own unique needs and considerations. This is why it’s important to understand the advantages and disadvantages of the options that are available from cloud providers and how these can help to solve operational efficiency now and in the future.

BCS previously ran a server room with six servers and enterprise storage, to support a full software stack required for three-tier applications. The migration to a Nutanix hyper-converged infrastructure has meant it now runs a single cluster.

The application, hosted on VMware, includes a web development environment, SQL server database, telephony services, Linux servers and a test environment. The BCS also hosts a number of its web services on-premise, as well as its legacy customer relationship management (CRM) system.

During the migration, BCS plans to move more than 60 virtual machines (VMs) from VMware to the Nutanix AHV hypervisor and complete the virtualisation of its remaining physical servers. This will deliver scalability and savings in terms of hypervisor licensing.

Dugal Williams, a network engineer at BCS, took advantage of Nutanix’s professional training programme to prepare for the migration. Preparation involved a week of online training. Williams will be taking the Nutanix Certification Programme exam at the end of October.

According to Nutanix, the training is designed to provide IT staff with the skills and knowledge needed to successfully implement, manage, optimise and scale Nutanix multi-product software. It has recently been expanded with an “Associate” certification (NCA), which Nutanix said provides a foundational programme for building a career in multicloud technology.

The course covers the key differences between AHV and VMware and how to manage and implement server virtualisation using Nutanix tools. “You learn about the whole environment, from the operating system to the hypervisor,” said Williams.

The Nutanix tools simplify the process of migrating away from VMware. “The good thing about Nutanix is it has a move/extract tool that supports the VMware hypervisor. The migration tool takes a VMware virtual machine and moves it to the Nutanix AHV environment,” said Williams.

BCS is also using the Nutanix Prism dashboard, which enables his team to manage the health of the AHV environment.

BCS’s Dugal said the Nutanix Prism dashboard is user-friendly and provides a knowledge base to help IT administrators identify errors.

The migration to Nutanix is part of a planned relocation of the industry association’s Swindon headquarters. BCS is also using Nutanix Xi Leap to provide secure backup and disaster recovery (DR) via the Nutanix cloud, which eliminates the need to equip and manage a second DR installation.

The Nutanix software is being deployed on HPE Proliant DX Gen10 appliances. According to BCS, this will enable it to move forward with its digital transformation plans and, at the same time, replace end-of-life servers and storage networks with a single Nutanix cluster, saving valuable rack space while also reducing power and cooling costs.

“We originally planned to look into DR options once the move to the new offices and infrastructure migration were over,” said Williams. “However, when we found we could do it so quickly and simply with Xi Leap, and without having to buy or run additional hardware, it quickly became a no-brainer and something we could also use to help with the migration itself.”

The data generated in DevOps runs very well into exabytes. Not only it becomes difficult for the DevOps team to effectively absorb the data but also makes it challenging for them to apply solutions from this massive amount of data. The data generated by continuous integration and tools deployment is humongous. In fact, simple issues such as finding critical events usually take hundreds of hours. The number of integrations, the success rate, and defects per integration is only useful when they are timely evaluated and correlated.

Given such a situation, there have been increased efforts to integrate AI into DevOps, which helps save time and increase efficiency. It is expected that in the near future AI will be able to emerge as a tool to compute, analyse and transform how teams develop and manage applications. Apart from its conventional use in the DevOps environment, AI can also prove to be beneficial in addressing security issues and data leaks, for organising memory management, and in garbage collection.

Here are five ways in which AI can transform DevOps:
Software Testing
DevOps includes different types of testing, such as regression testing, functional testing, and user-acceptance testing. These tests generate a large amount of data. AI, in such a situation, can prove to smoothen the system to a great extent. It identifies patterns of such collected data and then evaluates the coding practice that led to an error. Such systems eliminate test coverage overlaps, optimise current testing mechanisms and accelerate from just defect detection to defect prevention. It can also identify module interdependencies, thereby improving the overall product quality.

Managing Project Requirements
Several organisations have introduced AI-enabled digital assistants that can analyse documents, identify inconsistencies, and recommend solutions. Powered by natural language processing, such systems are trained on referenced guidelines to learn high-quality writing requirements. If done manually, the whole process of requirement management, which includes gathering, validating, tracking user requirements, would cause grave delays and in worse cases, complete failure of the final project. With automation in place, the requirements review is more streamlined. In fact, as per a report, such tools helped in reducing the requirement review time by over 50%.

Security
Security is one of the most critical aspects of the DevOps system. Businesses need to protect themselves from security breaches and distributed denial of service (DDoS) attacks. AI and machine learning can be used to identify the abnormal condition and take corrective actions accordingly. Further, AI can be used to augment DevSecOps and improve security by recording threats and deploying an ML-based central logging architecture for anomaly detection.

In Application Development & Enhancement
AI can also be used to help developers during the application process. AI-systems can examine build-compile success, testing completions, and operational performance of the past applications to make recommendations to the developers on the code they are writing. Further, monitoring tools using machine learning can gather information about log files, performance metric, and datasheets to identify issues in advance and make appropriate alterations to the application.
Managing Alerts
DevOps encourages ‘fail, but fail fast’; considering this, the system needs to be quick in identifying the flaw and sound alert. However, with conventional systems, all incoming alerts are marked with the same severity, making it difficult for the team to react. AI learns several factors such as the magnitude of the alert, past behaviour, and the source of the alert. This way, the team is assisted in prioritising their responses to the alerts without overwhelming the system.

Wrapping Up
AI in DevOps helps in directing human intelligence and creativity towards more intricate projects and tasks, while it helps with managing the efficiency, speed and productivity of the task, which in turn enhances the customer experience. AI is delivered value to DevOps by auto-suggesting code segments, improving quality assurance techniques, and streamlining requirement management.

The downside of deploying AI-based DevOps is with open-source projects, where the developers may unintentionally propagate security risks into their codes. It is important that AI is introduced in a controlled manner to ensure that they become the backbone of the DevOps system and not act as rogue elements that need constant remediation.