Shipa Corp., a Kubernetes application development and management platform, today announced the launch of Shipa Cloud that will assist developers, DevOps teams and platform engineers with the management and support of cloud-native applications.

Shipa Cloud provides a secure developer-centric platform for managing operating applications on Kubernetes. This includes the automatic creation and deployment of all objects.

It operates within the application layer and ensures that developers can observe the app’s entire context without interacting with infrastructure or tinkering with Kubernetes under the hood. As a result, the developers and engineers involved in the process do not need Kubernetes expertise.

“Kubernetes is a powerful and requisite tool for modern application development, but for too many enterprises now leveraging it, it remains frustratingly complex to manage,” said Bruno Andrade, chief executive of Shipa. “We launched Shipa in 2020 to take many of those infrastructure tasks off developers’ plates.”

Shipa Cloud features and benefits include the elimination of existing YAML and Helm charting, post-deployment observability, easy setup and governance and out-of-the-box integration with many cloud-native tools.

Upon installing Shipa Cloud, DevOps teams no longer need to update YAML files constantly and maintain policies for automated governance. The company says it will do that itself to deploy applications, so teams can stay in touch with Kubernetes environments through the interface.

Once deployed, Ship Cloud provides in-depth observability across all applications for statuses, objects, dependencies and network policies. It also connects with numerous pre-built connections into existing management tools for application lifecycle history and version management.

Shipa Cloud also allows DevOps teams to set policies for governance easily– for example, policies can be applied across the entire application stack. Once deployed, it can apply to network security, user roles, resource consumption and much more.

“We enable developers to focus on application deployment and management, while also empowering DevOps to set up the control and compliance policies they require,” said Andrade.

The platform also integrates with numerous cloud-native tools popular on the market such as Vault by HashiCorp Inc., Datadog Inc., JFrog Ltd., Circle Internet Services Inc., Traefik Labs and Istio.

One of the main contributors to the weak security posture of development environments is the complexity and knowledge gap created by the number of tools and services involved in this process. With more than a hundred CI/CD tools to choose from and hundreds of plugins and services connected to those tools, no wonder security teams are having a hard time keeping tabs on the amount of information and staying on top of the security requirements of these environments.

It is not rare to see a CI/CD pipeline which includes 10 to 20 different tools and services; some of these cloud-based, others open source tools with a variety of plugins installed. It is impossible to manually keep track of this complexity, and it often results in an exposure of your environment, code, secrets and network through those tools and plugins’ vulnerabilities.

The DevOps tool sprawl continues as more and more companies expand their DevOps products and services. Development teams take advantage of these new CI/CD tools and services to build their pipelines and enhance the process, but by doing so they are also increasing their exposure to risks. Add to that the limited collaboration between development and security teams, and the lack of visibility and control over these services and it’s no surprise that CISOs and application security managers look puzzled when asked about the security of their CI/CD pipelines.

Hackers Continue to Damage Enterprises
The Japanese e-commerce giant Mercari and project management tool provider Monday.com are both victims of the Codecov attack which has already affected hundreds of major companies including HashiCorp, Confluent, Twilio and Rapid7, among others.

Mercari stated that the attack compromised records including financial and personal information from customers and partners, including:

17,085 records related to customer sales that occurred between August 5, 2014, and January 20, 2014, containing bank codes, branch codes, account numbers, account holder (kana) and transfer amount.
7,966 records of Mercari’s business partners, including names, birth dates, affiliation, e-mail address, etc.
2,615 employee records, including those working for a Mercari subsidiary. Names of some employees as of April 2021, company email address, employee ID, telephone number, date of birth, etc.
Just few days before, Monday.com had disclosed that it, too was impacted by the Codecov supply chain attack. After their investigation, they found unauthorized actors had gained access to a read-only copy of their source code.

Minimize Risk and Complexity to Avoid Supply Chain Attacks
The recent series of supply chain attacks affected tens of thousands of companies. Nowadays, CI/CD pipelines form the backbone of modern DevOps operations and, as we see this trend continue, we cannot ignore the urgent need to protect customers’ development environments from these pervasive attacks.

The complexity and collaborative nature of these environments provides an easy target for attackers, who can take advantage of vulnerabilities and misconfigurations within pipeline plugins and services. By gaining access to the CI/CD pipeline, attackers can hijack your updates, inject malicious code and gain a backdoor to your and your customers’ environments.

The latest Codecov attack showed us two alarming facts:

Attackers can gain easy access to your most valuable data through your pipeline’s many services and plugins, which are usually not monitored.
These attacks can go unnoticed for months, impacting thousands of companies and inflicting massive damage.
Organizations must proactively secure their software supply chain against such attacks to prevent access via these backdoors. This requires taking into account the complexity of the development environments, the various third-party plugins and services connected to it, and the sophisticated nature of today’s supply chain attacks.

Building a Strong CI/CD Pipeline Security Posture
Security and DevOps teams need to watch their pipeline dependencies closely to identify and respond to vulnerabilities and attacks against those add-ons, services and tools. Whenever a new service is connected to your pipeline, they need to be checked and monitored constantly for any vulnerability or suspicious activity. Any suspicion should automatically trigger an alert to the appropriate stakeholders to verify the integrity of the service and ensure there is no risk associated with it.

Microsoft has made available TypeScript 4.3, the latest release of its programming language that builds on JavaScript and follows the release candidate that was made available earlier this month.

New in this release is support for separate write types on properties, to address the issue of APIs converting values that are passed in before storing them if the developer has not explicitly defined what type a value is. As of 4.3, users can specify types for reading and writing to properties.

TypeScript 4.3 has also introduced the override keyword to use when extending classes. This is to avoid the unintended consequences if a developer does not make it explicit whether they meant to add a new method or override an existing one.

Breaking changes in this release stem from the removal of APIs that no browser implements in declarations generated for web contexts, while if a value with a union enum type is compared with a numeric literal that it could never be equal to, then the type-checker will now issue an error. See the Microsoft DevBlog for further details.

Red Hat provides Universal Base Images on Docker Hub
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Red Hat has rolled out Red Hat Universal Base Images on Docker Hub, claiming this will make it easier for organisations to build cloud-native applications based on tested and trusted components of Red Hat Enterprise Linux.

Red Hat Universal Base Images (UBI) are containerised operating system images that include complementary runtime languages and packages. They are Open Container Initiative (OCI)-compliant and freely redistributable, the firm said.

UBI images are offered in a variety of configurations tailored for different enterprise IT use cases. These include Standard, which provides the necessary runtimes and YUM repositories to build, deploy and share UBI-based containers, while Minimal contains the bare essentials for a lightweight RHEL-based image.

Previously, UBI could only be obtained from the Red Hat container catalogue. With availability extended to Docker Hub, it will be easier for UBI-based containers to be built and deployed anywhere, Red Hat claimed.

Databricks AutoML makes it easier to build machine learning models
DataBricks has announced a public preview of Databricks AutoML, a tool designed to help users build and deploy machine learning models by automating the heavy lifting of pre-processing, feature engineering and model training/tuning.

According to DataBricks, AutoML would allow users to select a dataset, then train and deploy a model entirely through a UI. It integrates with the Databricks ML ecosystem, including tracking trial run metrics and parameters with MLflow, allowing users to register and version control models in the Databricks Model Registry for deployment.

AutoML provides Python notebooks for every model, with the source code for each trial run so users can review, reproduce, and modify the code. Data scientists can use their expertise to add or modify cells to these generated notebooks, and use them to jumpstart ML development by bypassing the need to write boilerplate code.

GitHub champions OpenTelemetry
GitHub has announced it is working to adopt the CNCF OpenTelemetry project internally, as a way to improve observability of its own infrastructure. The GitHub team said the project has potential to transform how the entire industry approaches ways to observe and understand systems, and invited other developers to provide assistance.

OpenTelemetry introduces a common, vendor-neutral format for telemetry signals, called OpenTelemetry Protocol (OTLP). It also enables telemetry signals to be easily correlated with each other. GitHub said OpenTelemetry would enable it to build integrated and opinionated solutions for its engineers, so that designing for observability would be at the forefront of its engineer’s minds.

GitHub said that as its OpenTelemetry efforts progress, it intends to shift focus towards logging and metrics systems, and claimed it is contributing as much as possible back to the OpenTelemetry project for others to benefit from.

Digital.ai intros platform to improve Devops outcomes
Digital.ai has announced the Digital.ai Platform, which uses machine learning-based analytics in a bid to predict and prevent issues impacting software delivery and reliability.

The platform features end-to-end DevOps lifecycle orchestration capabilities, such as release management, risk management, and software delivery predictability. It has strong integration and collaboration with DevOps tools, including Azure DevOps, Chef, Jenkins, Atlassian Jira, ServiceNow and Selenium, according to Digital.ai.

CDK for Terraform 0.4 gets Go
HashiCorp has released CDK for Terraform 0.4, the latest update of the Cloud Development Kit for its Terraform infrastructure-as-code provisioning tool.

CDK for Terraform give developers the ability to write Terraform configurations in C#, Python, TypeScript, and Java, using all existing Terraform providers and Terraform modules. This release has added experimental Go support, one of the top requests from users, according to HashiCorp.

Also added is a new asset construct that makes it easy to reference files and folders that need to be deployed alongside newly provisioned resources such as applications, plus improved Terraform Cloud integration. The CDK for Terraform changelog contains a comprehensive list of enhancements and bug fixes applying to this release.

In one of the latest announcements of re:Invent 2020, AWS introduced the preview of Amazon Location, a new mapping service for developers to add location-based features like geofencing and built-in tracking to web-based and mobile applications.

The new product offers currently four different types of resources – maps, place indexes, trackers and geofence collections – and an API for routing is expected to be added during the preview. While the place indexes API allow searching for addresses, businesses, and points of interest using free-form text, trackers can be linked to geofence collections to implement monitoring of devices as they move in and out of geofences. The service supports maps and map styles provided by Esri and by HERE Technologies, two of the largest location data providers, and it is possible to use existing map libraries such as Mapbox GL and Tangram. As for the documentation, the API is consistent across LBS data providers, making it possible to switch across different providers for different use cases or geographies.

The service will help in use cases such as displaying maps, tracking the movement of packages and devices, geomarketing, geocoding (turn an address into a location) and delivery management. Even if not all geolocation functionalities are yet available, the cloud provider is going to cover an area where it was not offering a managed solution, competing now in the location data market with Google Maps Platform and Azure Maps.

Sander Heije, product owner IoT at PostNL, commented on how the parcel and e-commerce corporation took advantage of an early access to the service to manage and track their Unit Load Devices (ULD), like pallets and containers:

Daniel, author of “Be A Better Dev”, explains how the tracker feature can benefit location based applications:

Anton Babenko, AWS Community Hero and HashiCorp ambassador, jokes about the simplicity of setting up a fence and trigger actions when tracked items leave a geofenced area:

The new service is available as preview in a subset of AWS regions and free until the end of the preview. Different pricing plans will then be available, including a request-based usage paid tier.

The “Container Technology – Market Development Scenario ” Study has been added to HTF MI database. The study envisage qualitative as well as quantitative market data and follows Industry benchmark classification and NAICS standards to built strong players coverage for final study. Some of the major and emerging players identified are Apcera, AWS, Chef, Cisco, CloudFoundry, ClusterHQ, CoreOS, Docker, EMC, Hashicorp, Joyent, Mesosphere, Microsoft, Openstack & Rackspace.

Global Container Technology Market Development Scenario by Players
Ø Financials Information, Business Overview and Product Specification Matrix
Ø Patent Analysis Briefing* [if applicable]
Ø No. of Patents Issuance by Year / by Players / By Issuing Office
Ø Key Development – Product/Service Launch, Mergers & Acquisition, Joint Ventures

Container Technology Market Competition

Each company profiled in the research document is studied considering various factors such as product and its application portfolios, market share, growth potential, future plans, and development activity. Readers will be able to gain complete understanding and knowledge of the competitive landscape. Most importantly, the report sheds light on important strategies that key and emerging players are taking to maintain their ranking in the Global Container Technology Market. It shows how the market competition will change in the next few years and how players are preparing themselves to stay ahead of the curve.

Important Features that are under offering & key highlights of the report :

1) How COVID-19 Impact Analysis and its effect on Growth is Shown in the Study?
Yes, the overall industry have seen quite big impact due to slowdown and shutdown in production line & supply chain. The study covers a separate qualitative chapter on COVID-19 Impact analysis with strong reasoning and leaders opinion. Additionally it also provide before and after growth scenario due to COVID-19 on sales & market size estimation to better analyze current scenario of Industry.

2) How companies are selected or profiled in the report?
List of some players that are profiled in the the report includes “Apcera, AWS, Chef, Cisco, CloudFoundry, ClusterHQ, CoreOS, Docker, EMC, Hashicorp, Joyent, Mesosphere, Microsoft, Openstack & Rackspace”. Usually we follow NAICS Industry standards and validate company profile with product mapping to filter relevant Industry players, furthermore list is sorted to come up with a sample size of atleast 50 to 100 companies having greater topline value to get their segment revenue for market estimation.

** List of companies mentioned may vary in the final report subject to Name Change / Merger etc.

3) Is it possible to add more list of company and customize study as per our need?
Yes, we can add or profile new company as per client need in the report, provided it is available in our coverage list as mentioned in answer to Question 1 and after feasibility run final confirmation will be provided by research team checking the constraints related to difficulty of survey.

4) Can we narrow the available business segments ?
Yes, depending upon the data availability and feasibility check by our Research Analyst, further breakdown in business segments by end use application or product type can be provided (If applicable) by Revenue Size or Volume*.

5) Can specific country of interest be added? What all regional segmentation covered?
Yes, Country level splits can be modified in the study as per objectives. Currently, research report gives special attention and focus on following regions:
United States, Europe, China, Japan, Southeast Asia, India & Central & South America
** One country of specific interest can be included at no added cost. For inclusion of more regional segment quote will vary.

While global mega trends influencing the market routing the primary direction of growth, regional markets are swayed by more granular locally unique market drivers. The market study is sized with regional and country level break for historical and forecast period by revenue and volume and price analysis, stay tuned with the latest updates from the research insights – know more which territory is stealing market share gains in coming years.

COVID19 Outbreak Impact by Major Geographies includes : United States, Europe, China, Japan, Southeast Asia, India & Central & South America etc.

Container Monitoring, Container Provisioning, Containercurity, Container Data Management & Container Networking are the segments analysed and sized in this study by application/end-users, displays the potential growth and various shift for period 2014 to 2026. The changing dynamics supporting the growth makes it critical for businesses in this space to keep abreast of the moving pulse of the market. Check which segment will bring in healthy gains adding significant momentum to overall growth. , Docker, Rkt, LXC and LXD, Containerd & FreeBSD Jails have been considered for segmenting Container Technology market by type.

With the multiple advantages of technology, cost and service, many major developed rapidly. They kept leading domestic market and on the other way actively developing international market and seizing market share, becoming the backbone of Global Container Technology industry. It is understood that currently domestic players has been massively used by operators in China.

***Sub Regions Included: North America [United States, Canada, Mexico], Asia-Pacific [China, India, Japan, South Korea, Australia, Indonesia, Malaysia, Philippines, Thailand, Vietnam], Europe [Germany, France, UK, Italy, Russia, Rest of Europe], South America [Brazil, Argentina, Rest of South America], Middle East & Africa [GCC Countries, Turkey, Egypt, South Africa, Rest of Middle East & Africa]

Unless until specified in Original TOC of Global Container Technology Market Study

All viewpoints in the report are based on iterative validation by engaging influencer, experts of the market, whose opinions supersede all other research methodologies. Both primary and secondary approach are used and detailed product portfolio / service offering were analysed and have been presented in a separate chapter of competitive landscape along with company profile. Some of the competitors identified in the Global Container Technology Market study include Apcera, AWS, Chef, Cisco, CloudFoundry, ClusterHQ, CoreOS, Docker, EMC, Hashicorp, Joyent, Mesosphere, Microsoft, Openstack & Rackspace.

Research Objectives
• To analyse and forecast the Global Container Technology market, in terms of value and volume.
• Which segment has the potential to gain the highest market share?
• To help decision maker from new offer perspective and benchmark existing marketing strategy.
• Correlate cost structure historical data with key business segments.
• Analyse marketing contribution and customer acquisition by up-selling and cross selling.
• Identifying Influencing factors keeping Global Container Technology Market Intense, factored with periodic analysis of CR4 & CR8 concentration ratio & HHI Index.

HTF MI also offers Custom Research services providing focused, comprehensive and tailored research according to clientele objectives. Thanks for reading this article; you can also get individual chapter wise section or region wise report like North America, Europe or Asia.

Overview of the Global DevOps Market

DevOps has moved well beyond a buzzword. It now represents a substantial and fast-growing segment of the enterprise software and services industry. Organizations across industries are investing in DevOps toolchains, platforms, and consulting services to shorten software delivery cycles, improve system reliability, and align development and operations teams around shared business goals.

Market research firms regularly publish analyses of this space to help buyers, vendors, and investors understand competitive dynamics, adoption trends, and regional growth patterns. The summary below reflects the market segmentation and vendor landscape described in one such report covering the 2020–2028 forecast window.

Key Vendors in the DevOps Ecosystem

The DevOps toolchain is broad, spanning source control, CI/CD pipelines, infrastructure automation, monitoring, security, and cloud platforms. The following vendors were identified as prominent players in this market research report:

• CA Technologies (now Broadcom) – enterprise value stream management and release automation
• IBM – DevOps toolchain integrated with hybrid cloud and AI operations (AIOps)
• Atlassian – Jira, Bitbucket, and Confluence widely used for planning and collaboration
• Micro Focus – testing, application delivery, and IT operations management
• Puppet – infrastructure-as-code and configuration management
• Red Hat – OpenShift container platform and Ansible automation
• AWS – CodePipeline, CodeBuild, CodeDeploy and a broad cloud-native DevOps suite
• Microsoft – Azure DevOps and GitHub Actions
• Google – Cloud Build, Artifact Registry, and GKE for container-based delivery
• Oracle – DevOps service integrated with Oracle Cloud Infrastructure
• GitLab – all-in-one DevSecOps platform covering SCM through deployment
• Docker – container runtime and image registry tooling
• HashiCorp – Terraform, Vault, and Nomad for infrastructure provisioning and secrets management
• Chef Software – infrastructure automation and compliance
• Rackspace – managed DevOps and cloud services
• Perforce – version control and automated testing at scale
• CollabNet – value stream management and agile planning
• XebiaLabs (now Digital.ai) – release orchestration and deployment automation
• CFEngine – lightweight infrastructure automation for large fleets
• Electric Cloud (now CloudBees) – enterprise continuous delivery
• Cigniti, RapidValue, TO THE NEW, Clarive, OpenMake Software – specialist services and niche tooling

The presence of hyperscale cloud providers (AWS, Microsoft, Google) alongside dedicated DevOps vendors (GitLab, HashiCorp, Puppet) illustrates how competitive the space has become. Cloud-native delivery pipelines are increasingly a default capability of the major cloud platforms, putting pressure on standalone tool vendors to differentiate on depth of feature set, enterprise support, and integration breadth.

Market Segmentation

By Offering Type

• Solutions – software platforms, toolchains, and SaaS products that automate build, test, deploy, and monitor workflows
• Services – consulting, implementation, managed services, and training that help organizations adopt and operate DevOps practices

By Deployment Model

• Public Cloud – toolchains hosted and managed by cloud providers or SaaS vendors
• Private Cloud / On-Premises – self-hosted deployments required by regulated industries or data-sovereignty mandates
• Hybrid – a combination of on-premises and cloud environments, common in large enterprises mid-migration

By Organization Size

• Small and Medium-sized Enterprises (SMEs) – typically prioritize low-friction SaaS tools, fast time-to-value, and lower upfront cost
• Large Enterprises – require scalable governance, audit trails, role-based access control, and integration with legacy systems

By Industry Vertical

• BFSI (Banking, Financial Services, and Insurance) – high regulatory scrutiny drives demand for audit-ready pipelines and compliance automation
• Healthcare – HIPAA and data integrity requirements shape toolchain choices; containerization is accelerating adoption
• Telecommunications and ITES – network function virtualization and rapid feature delivery are key drivers
• Manufacturing – IoT integration, OT/IT convergence, and predictive maintenance pipelines are emerging use cases

Geographic Breakdown

The report segments the global DevOps market into five major regions:

• North America – the largest market by revenue, driven by a mature cloud ecosystem and high concentration of technology companies
• Europe – strong adoption in the UK, Germany, and the Nordics; GDPR compliance requirements influence toolchain selection
• Asia Pacific – fastest-growing region, with significant investment in India, China, Australia, and Southeast Asia
• Middle East and Africa – emerging adoption driven by digital transformation initiatives in financial services and government sectors
• South America – growth concentrated in Brazil and Argentina, with increasing cloud-native investment from hyperscalers

Market Drivers and Trends

Several structural factors continue to push DevOps adoption across industries and geographies:

• Accelerating release cadences – competitive pressure to ship features faster makes continuous delivery a business necessity rather than a technical choice
• Cloud migration – moving workloads to public or hybrid cloud environments creates a natural forcing function to adopt cloud-native CI/CD tooling
• Security integration (DevSecOps) – shift-left security practices are becoming standard, integrating SAST, DAST, and secrets scanning directly into pipelines
• Infrastructure as Code (IaC) – tools like Terraform and Ansible enable reproducible, version-controlled infrastructure, reducing configuration drift
• Platform engineering – large engineering organizations are building internal developer platforms (IDPs) to standardize and self-serve DevOps capabilities
• AI-assisted development and operations – LLM-powered code review, anomaly detection, and incident response are beginning to enter mainstream toolchains

Restraints and Challenges

Despite strong growth, several barriers slow adoption—particularly in regulated industries and organizations with significant technical debt:

• Cultural resistance – DevOps requires organizational change, not just tooling. Siloed team structures often persist even after tools are deployed
• Skills gaps – demand for engineers proficient in Kubernetes, Terraform, CI/CD pipelines, and observability consistently outpaces supply
• Legacy system integration – older monolithic applications may not lend themselves to automated testing or containerized deployment without significant refactoring
• Security and compliance complexity – highly regulated industries face friction when attempting to automate deployments across environments subject to change-control requirements
• Toolchain sprawl – organizations often accumulate overlapping tools, creating integration overhead and inconsistent developer experiences

Impact of COVID-19 on DevOps Adoption

The COVID-19 pandemic, which was a major context for this report’s original publication in 2020, acted as a significant accelerant for DevOps investment. Key effects observed at the time included:

• Remote-first engineering teams accelerated adoption of cloud-hosted CI/CD platforms and collaborative tools such as GitHub, GitLab, and Atlassian’s suite
• Organizations scrambling to digitize services rapidly increased demand for DevOps consulting and managed services
• Supply chain disruptions in hardware manufacturing pushed more workloads toward software-defined infrastructure, benefiting IaC adoption
• Increased cyber threat activity during the pandemic reinforced the business case for DevSecOps practices

Evaluating DevOps Market Research Reports

If you are using market research to inform a purchasing decision, vendor evaluation, or business case, apply the following checks before relying on specific figures:

1. Verify the methodology – understand whether figures are based on vendor revenue reporting, survey data, or analyst modeling, as each carries different reliability
2. Check the base year and forecast assumptions – COVID-era reports often made assumptions that shifted materially by 2021–2022
3. Cross-reference across multiple sources – Gartner, Forrester, IDC, and firm-specific research often reach different conclusions; triangulation improves accuracy
4. Scrutinize vendor classification – “DevOps market” definitions vary widely; some reports include all cloud infrastructure spend, others focus narrowly on CI/CD tooling
5. Assess recency – the vendor landscape shifts quickly; a report from 2020 may predate significant acquisitions (e.g., Electric Cloud becoming part of CloudBees, XebiaLabs rebranding as Digital.ai)

Summary

The global DevOps market encompasses a wide range of tools, platforms, and services that help engineering organizations build, test, deploy, and operate software more reliably and at higher velocity. The competitive landscape includes hyperscale cloud providers, established enterprise software vendors, and focused open-source-driven companies. Growth is being driven by cloud migration, security integration, and organizational pressure to accelerate delivery—while cultural change and skills gaps remain the most persistent friction points for adoption.

For teams evaluating DevOps platforms, focus on integration fit with your existing stack, the strength of the vendor’s open-source community, total cost of ownership across licensing and operational overhead, and the availability of local support and professional services in your region.

Partnership Overview

Logz.io, a cloud-native observability platform built on open source tooling, announced a partnership with HashiCorp, the company behind widely adopted infrastructure-automation software including Vault, Terraform, and Consul. The collaboration is aimed at helping DevOps and DevSecOps engineers achieve better visibility into secure, multi-cloud environments without sacrificing performance or operational simplicity.

Both companies position themselves as champions of open source. The partnership combines HashiCorp’s strengths in secrets management and infrastructure automation with Logz.io’s managed observability stack — which is built on the ELK stack (Elasticsearch, Logstash, Kibana) and Grafana-compatible infrastructure monitoring.

The Problem This Integration Solves

Securing cloud workloads requires tight control over tokens, passwords, certificates, and encryption keys — exactly what HashiCorp Vault is designed to handle. However, operating Vault at scale also introduces operational complexity: teams need to monitor Vault’s health, detect anomalous access patterns, track permission changes, and respond quickly to incidents such as high-availability (HA) reconfigurations.

Without a dedicated observability layer, Vault audit logs can be difficult to query, correlate with other infrastructure signals, or route into alerting workflows. This gap is what the Logz.io–HashiCorp integration targets.

What the HashiCorp Vault Integration Provides

As part of the partnership, Logz.io developed a Vault integration that ingests Vault audit logs into Logz.io’s managed platform. According to the announcement, the integration enables teams to:

• Monitor Vault audit logs centrally alongside other application and infrastructure logs.
• Set up alerts for specific Vault events, such as elevated permission changes or HA reconfiguration events.
• Use ELK and Grafana-compatible tooling on a single, fully managed platform while keeping credentials stored securely in Vault.
• Correlate security signals from Vault with broader DevOps observability data covering development, operations, and security perspectives.

Asvin Ramesh, Director of Technology Alliances at HashiCorp, commented on the integration: “The integration that was developed allows customers using Logz.io to have better visibility into their environment through audit logs from Vault.”

Additional Integrations: Terraform and Consul

The Vault integration is not the only deliverable from this partnership. Engineers working in the HashiCorp ecosystem can also take advantage of two further integrations:

• HashiCorp Terraform provider for Logz.io: Allows teams to create, manage, and update Logz.io resources — such as log alerts, dashboards, and user accounts — using Terraform infrastructure-as-code workflows. This enables full GitOps-style management of observability configuration.
• HashiCorp Consul metrics ingestion: Teams can ingest metrics from Consul agents into Logz.io’s Infrastructure Monitoring product (Grafana-compatible), enabling visibility into service discovery and distributed service health alongside other infrastructure metrics.

How This Fits Into a DevSecOps Workflow

For teams running a CI/CD pipeline on multi-cloud infrastructure, the challenge is not just building and deploying applications — it is also maintaining a coherent view of security posture and operational health across many moving parts. The Logz.io–HashiCorp integration stack addresses several layers of this challenge:

• Secrets management visibility (Vault): Who accessed what credential, when, and from where? Were any permissions elevated unexpectedly?
• Infrastructure state (Terraform + Logz.io provider): Is observability configuration itself tracked as code and auditable?
• Service mesh and discovery health (Consul): Are distributed services registering and communicating as expected?
• Log and security analytics (ELK + Cloud SIEM): Can security events be correlated across logs, metrics, and audit trails in a single pane of glass?

Shahar Kodraty, Director of Technology Alliances at Logz.io, summarised the intended outcome: “The ability to correlate inputs from a multi-cloud, distributed environment with insights covering their organization’s development, operations and security POVs, will provide our users with a holistic view of their entire CI/CD delivery process.”

About the Companies

Logz.io

Logz.io is a cloud-native observability platform that packages three core products — Log Management (built on ELK), Infrastructure Monitoring (Grafana-compatible), and Cloud SIEM (ELK-based) — as fully managed, integrated cloud services. The platform is designed for engineering teams that want the capabilities of leading open source observability tools without the burden of operating and scaling them in-house.

HashiCorp

HashiCorp builds infrastructure automation software widely adopted in DevOps and platform engineering teams globally. Its open source portfolio includes Vault (secrets management), Terraform (infrastructure as code), Consul (service networking), and Nomad (workload orchestration), among others.

Further Reading

For technical documentation on the integrations, refer to the HashiCorp integration directory and the Logz.io documentation portal. (Links to the original partner pages were referenced in the source announcement but have not been independently verified for current availability.)

GitLab Commit Goes Virtual for the First Time

GitLab Commit Virtual 2020 marked a milestone for the GitLab community: for the first time in the conference’s history, the annual user conference moved entirely online. Scheduled for August 26, 2020, the event was free to attend and designed as a 24-hour continuous experience, allowing participants from different time zones around the globe to join without travel barriers.

The conference brought together DevOps practitioners, engineers, security professionals, and thought leaders from organisations including Microsoft, Google, HubSpot, Forrester, the U.S. Air Force, and the U.S. Army, among others.

Conference Format and Virtual Environment

The virtual event was structured to replicate key elements of an in-person conference:

• Lobby: A central hub for navigating the event.
• Expo Hall: Virtual booths staffed by sponsors, offering downloadable resources and interactive engagement opportunities.
• Auditorium: The main venue for live and recorded sessions delivered by industry leaders.

Attendees could move between areas, interact with sponsor representatives, and watch sessions on demand — a format that reflected GitLab’s own all-remote culture and work style.

Session Topics and Agenda Highlights

The agenda featured more than 40 sessions spanning a wide range of DevOps disciplines, including:

• DevSecOps and application security
• Containers and Kubernetes
• CI/CD pipelines and automation
• Open source development practices
• All-remote culture and team management
• Live coding and technical deep-dives
• Organisational DevOps transformation case studies

The mix of technical and strategic content was aimed at both hands-on engineers and decision-makers looking to understand DevOps adoption at an organisational level.

Notable Sessions and Speakers

A selection of the featured sessions illustrates the breadth of the programme:

• “DevOps Works! Why Hasn’t Security Kept Up?” — Keynote by Joni Klippert, StackHawk. An examination of the gap between DevOps velocity and security practices.
• “DevSecOps in Government and Highly-Regulated Industries” — Keynote by Nicolas Chaillan, U.S. Air Force. A look at how one of the world’s most complex organisations approaches DevSecOps.
• “Real World DevOps” — Abel Wang, Microsoft. Practical DevOps patterns and lessons from enterprise implementations.
• “Why Your Organization Should Embrace the Community Model” — Karl Cardenas, State Farm. A case study on applying open-source community principles within a large financial services organisation.
• “Getting Fuzzy: Blurring the Lines of Traditional QA and Security Testing” — David DeSantos and Sam Kerr, GitLab. An exploration of fuzz testing as a bridge between quality assurance and security.
• “How the U.S. Army Cyber School Created ‘Courseware as Code’ with GitLab” — Ben Allison, U.S. Army Cyber School. A compelling case study in applying infrastructure-as-code principles to curriculum development.
• “Measuring DevOps” — Nathen Harvey and Dina Graves Portman, Google. A data-driven look at DevOps metrics and organisational performance indicators.
• “How To Create an Equitable and Inclusive Culture That Transcends Physical Walls” — Eimear Marrinan and Meaghan Williams, HubSpot. Strategies for building inclusive remote-first engineering teams.

Sponsors and Expo Hall Partners

The expo hall featured booths from a strong lineup of DevOps ecosystem sponsors, including:

• AWS
• Google Cloud
• Lightstep
• HashiCorp
• Red Hat
• VMware Tanzu
• WhiteSource

Attendees could interact directly with sponsor representatives through the virtual booth format, download technical resources, and explore integrations relevant to GitLab-based workflows.

Why This Event Mattered for the DevOps Community

GitLab Commit Virtual 2020 was significant beyond its content. It demonstrated how a major technical conference could be delivered effectively in an all-virtual format — a model that GitLab, as a fully remote company, was uniquely positioned to execute. For DevOps teams, the event offered direct exposure to how enterprise organisations across government, finance, and technology sectors were accelerating their DevOps transformations in 2020.

The combination of government case studies (U.S. Air Force, U.S. Army), commercial enterprise perspectives (State Farm, HubSpot, Microsoft), and technical depth from GitLab’s own engineering teams made the agenda particularly well-rounded for practitioners at any level.

Note: GitLab Commit Virtual 2020 has concluded. For information on current GitLab events and future conferences, visit about.gitlab.com/events.

The ongoing COVID-19 pandemic and recent social strife has pushed the Kubernetes project to alter its quarterly update schedule through the end of the year, though it’s looking to get back in track (like the rest of the world) in 2021.

The Kubernetes 1.19 release should have dropped at some point around June 30. That would have maintained what had been a near metronome-like schedule of platform updates dating back to its initial 1.0 release in mid-2015. However, external events have altered that pattern.

“The 1.19 release has been quite different from a regular release due to COVID-19, George Floyd protests, the Black Lives Matter movement, and several other global events that we experienced as a release team,” explained Taylor Dolezal, lead on the Kubernetes 1.19 Release, in an email to SDxCentral. “Due to these events, we made the decision to adjust our timeline and allow [special interest groups], working groups, and contributors more time to get things done. The extra time also allowed for people to take time to focus on their lives outside of the Kubernetes project and to ensure their mental wellbeing was in a good place.”

The 1.19 update is currently scheduled to be released on Aug. 25. The update is expected to include a greater focus on sidecar integration, which has been an ongoing focus point for several of the past updates.

Dolezal, who is also a developer advocate at HashiCorp, said that the subsequent 1.20 release will be the last one scheduled for this year, “and the plan is to return to a three-month update cycle (baring no unforeseen circumstances),” he added.

The current delay could be a boon for enterprises that continue to struggle with Kubernetes’ infernal update schedule. A Platform9 survey of more than 1,300 attendees at last year’s KubeCon + CloudNativeCon event in San Diego found more than 44% cited “upgrades” as challenge in running Kubernetes.

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Kubernetes Looks Within

As part of this reset, the project also launched a new working group focused on evaluating the language and naming choices within the project “with a specific initial focus on removing barriers to contribution and adoption by replacing harmful language with neutral terms whenever possible,” Dolezal explained. This move is similar to one being instituted by a number of vendors that are looking to remove “problematic language” from software terms.

The Kubernetes project is also requiring all of its chair and technology leads to complete a Linux Foundation unconscious bias course that Dolezal will help identify “possible language or practices that may proliferate such bias.”

Market Overview

Market research published by HTF Market Intelligence examined the global container technology market, covering historical data from 2014 to 2018 and projecting trends through 2026. The report segments the market by container runtime type and by end-use application, and profiles major vendors shaping competitive dynamics across North America, Europe, Asia-Pacific, and emerging regions.

The study notes that Asian markets—particularly China, Japan, Southeast Asia, and India—represent some of the highest projected compound annual growth rates (CAGR), driven by accelerating cloud adoption and digital transformation initiatives in those regions.

Key Vendors Covered

The competitive landscape includes a broad set of players operating across container runtimes, orchestration, management, and cloud platforms. Vendors profiled in the research include:

• Docker – the runtime that popularised Linux containers for developers
• AWS – offers managed container services including ECS and EKS
• Microsoft – Azure Kubernetes Service (AKS) and Windows container support
• CoreOS – pioneered container-optimised Linux and the rkt runtime (acquired by Red Hat)
• Mesosphere – DC/OS platform for large-scale container orchestration
• HashiCorp – Nomad scheduler and Vault for secrets management in containerised environments
• Cisco – networking and security integration for container workloads
• CloudFoundry – open-source Platform-as-a-Service with container-based application staging
• Chef – configuration management and compliance tooling for container pipelines
• OpenStack & Rackspace – open-source cloud infrastructure supporting container deployments
• EMC – persistent storage solutions for stateful container workloads
• Joyent – Triton container infrastructure with SmartOS-based isolation
• Apcera – policy-driven container platform (subsequently wound down)
• ClusterHQ – container data volume management (subsequently wound down)

Market Segmentation: Container Runtime Types

The container technology market is segmented by the underlying runtime or isolation technology in use:

• Docker – the most widely deployed container runtime, using the OCI-compliant containerd engine
• rkt (Rocket) – a security-focused runtime developed by CoreOS, designed as an alternative to Docker’s daemon model
• LXC / LXD – Linux Containers, offering a more VM-like container experience at the OS level
• containerd – the CNCF-graduated container runtime underlying Docker and Kubernetes
• FreeBSD Jails – a mature OS-level virtualisation mechanism predating Linux containers, widely used in BSD-based infrastructure

Market Segmentation: Application Areas

Beyond the runtimes themselves, the market is analysed across the functional disciplines that organisations invest in when adopting containers at scale:

• Container Monitoring – observability tooling for container health, resource utilisation, and performance metrics (e.g., Prometheus, Datadog, Sysdig)
• Container Provisioning – orchestration and scheduling platforms, most prominently Kubernetes, that automate deployment and scaling
• Container Security – image scanning, runtime threat detection, and policy enforcement (also written as “container security” in some editions of the report)
• Container Data Management – persistent volume solutions enabling stateful workloads such as databases to run reliably in containers
• Container Networking – CNI plugins, service meshes (e.g., Istio, Linkerd), and network policy enforcement between containerised services

Growth Drivers and Regional Trends

Several structural forces continue to drive container adoption and market expansion:

• Microservices adoption – breaking monolithic applications into independently deployable services makes containers the natural packaging unit
• CI/CD pipeline integration – containers provide reproducible build and test environments, accelerating release cycles
• Hybrid and multi-cloud strategies – containers abstract away infrastructure differences, simplifying portability across cloud providers
• Kubernetes standardisation – the emergence of Kubernetes as the dominant orchestrator has consolidated tooling investment and accelerated enterprise adoption
• Edge computing – lightweight container runtimes are increasingly deployed at the network edge for latency-sensitive workloads

Asia-Pacific markets—including China, Japan, India, and Southeast Asia—were identified as particularly high-growth regions, where cloud-first infrastructure strategies and large-scale digital transformation programmes are expanding the addressable market rapidly.

Competitive Dynamics and Industry Consolidation

The container market has seen significant consolidation since the period covered by the HTF report. Notable events include CoreOS’s acquisition by Red Hat (which was itself acquired by IBM), Docker’s divestiture of its enterprise business to Mirantis, and VMware’s acquisition of Heptio. Several of the smaller vendors listed—including Apcera and ClusterHQ—have since ceased operations, illustrating the competitive pressure that smaller specialists face as hyperscalers and platform vendors absorb container capabilities into broader product suites.

Remaining independent players compete by specialising in security, observability, or developer experience layers that sit above or alongside Kubernetes, rather than attempting to replace the orchestration layer itself.

What the Research Covers

According to the HTF Market Intelligence study summary, the full report includes:

• Revenue splits by container type and application segment
• Market share and sales data for key vendors and regional players
• M&A activity, seed funding, and recent development milestones (the “Entropy” section)
• SWOT profiles for listed companies, including upstream suppliers and downstream buyers
• Geographic gap analysis with country-level breakdowns across North America, Europe, China, Japan, Southeast Asia, India, and Central & South America

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Overview

Docker has donated the cnab-to-oci library to the Cloud Native Application Bundle (CNAB) project, hosted at cnab.io. The library allows teams to convert CNAB application bundles into a format that can be pushed to and pulled from OCI-compliant container registries, reusing existing registry infrastructure without requiring new distribution systems.

What Is CNAB?

The Cloud Native Application Bundle (CNAB) specification is a cloud-agnostic standard for packaging and running distributed applications. It was originally co-developed by Docker, Microsoft, HashiCorp, Bitnami, Codefresh, and others, and was announced at DockerCon Europe 2018.

CNAB introduces the concept of a bundle — a self-describing package that can represent applications composed of multiple components. Bundles can reference and incorporate:

• Helm charts
• Kubernetes manifests
• Terraform or other infrastructure templates
• Dockerfiles and container images

This makes CNAB suitable for complex, multi-tool application deployments that span cloud environments.

Anatomy of a CNAB Bundle

A CNAB bundle consists of three main parts:

1. bundle.json (the descriptor): Metadata that includes versioning information, configurable parameters, and references to all images and components in the bundle.
2. The invocation image: A container image that holds the actual installer logic — the workflow needed to install, upgrade, or uninstall the application. It can include declarative configurations from tools like Helm and kubectl, and it manages the full bundle lifecycle.
3. Bundle repositories: Metadata describing where component images are stored and how to retrieve them.

How cnab-to-oci Works

The cnab-to-oci tool is a reference implementation for distributing CNAB bundles using OCI-compliant or Docker registries. It leverages the OCI image index — defined in the OCI Image Specification — to package and store bundle data.

The OCI image index is typically used by clients to discover platform-specific image manifests. However, the spec is deliberately open about the kinds of media it can contain, which cnab-to-oci exploits to store:

• The CNAB bundle metadata (bundle.json)
• The invocation image
• All component images referenced by the bundle

Currently, cnab-to-oci uses OCI annotations (which are optional fields in the OCI spec) to communicate the media type of each artifact stored in the index. A proposal was under discussion at the time of this announcement to add a formal mediaType field to the OCI index spec, which would make annotations unnecessary for this purpose.

Atomic Transfer and Registry Consistency

Beyond simple packaging, cnab-to-oci is designed to ensure that all images referenced by a bundle are stored in the same registry and can be transferred atomically between registries. This provides end-users with a consistent, reliable view of a bundle — all required artifacts move together, reducing the risk of broken references or partial transfers.

Who Uses cnab-to-oci?

At the time of the donation, cnab-to-oci was already in use by several tools in the CNAB ecosystem:

• Docker App: Docker’s own implementation of the CNAB specification.
• Porter: A CNAB-compatible bundle management tool.
• Duffle: A reference implementation of the CNAB specification.

Standardizing CNAB Registry Distribution

The CNAB specification intentionally does not mandate a single distribution method for bundles — this flexibility is by design, allowing teams to use different backends suited to their environment. However, to improve interoperability, the CNAB Registries specification included a proposal to standardize how OCI registries can be used for bundle distribution. The cnab-to-oci donation moves that work into the shared CNAB project, making it available to all implementers rather than being owned by a single vendor.

Why This Matters

By donating cnab-to-oci to the CNAB project, Docker signals its commitment to a vendor-neutral approach to bundle distribution. Teams that already operate OCI-compliant registries — including Docker Hub, Amazon ECR, Google Artifact Registry, and Harbor — can use them to store and distribute CNAB bundles without deploying additional infrastructure. This reduces operational overhead and keeps multi-tool application packaging within familiar registry workflows.

HashiCorp Brings Managed Consul to Microsoft Azure

Microsoft Azure users can now access a hosted version of the HashiCorp Consul service mesh through HashiCorp Consul Service on Azure (HCS), announced at HashiConf in Seattle. The partnership between the two companies expands a pre-existing relationship and positions Consul’s multi-platform capabilities as a key differentiator in the increasingly crowded service mesh market.

HCS automatically provisions clusters running Consul service discovery and service mesh software within Azure. HashiCorp site reliability engineers manage the underlying infrastructure, but the service is billed through Azure and provisioned via the Azure console and the Azure Managed Applications service catalog — making it operationally familiar for Azure-native teams.

What Is a Service Mesh and Why Does It Matter?

A service mesh is a dedicated infrastructure layer for handling service-to-service communication within a microservices architecture. Instead of embedding network logic inside application code, a service mesh uses sidecar proxies deployed alongside each service instance to manage, observe, and secure traffic between services.

Key capabilities a service mesh typically provides include:

• Service discovery: Dynamically locating service instances as they scale up or down.
• Traffic management: Load balancing, retries, timeouts, and circuit breaking.
• Mutual TLS (mTLS): Encrypting and authenticating service-to-service connections automatically.
• Observability: Collecting metrics, traces, and logs at the network level without application changes.

Consul’s distinctive claim is that it handles not just Kubernetes-orchestrated containers but also traditional VMs and bare-metal hosts — a critical capability for enterprises running heterogeneous infrastructure. The Consul Connect gateway, released prior to these announcements, enables encrypted cross-cluster and cross-region connectivity across public cloud and on-premises deployments.

The Service Mesh Interoperability Problem

The service mesh landscape in 2019 included several competing control planes — most notably HashiCorp Consul, Google and IBM’s open source Istio, and Buoyant’s Linkerd — each with overlapping but distinct capabilities. Most of them share the same data plane: the Envoy proxy, developed at Lyft and now a CNCF graduated project. Sharing a common data plane makes technical differentiation between control planes increasingly difficult over time.

For enterprises running mixed environments — legacy applications on bare metal alongside cloud-native microservices, or workloads spread across multiple Kubernetes clusters and cloud regions — the inability of these meshes to interoperate is a genuine operational problem.

John Mitchell, formerly chief platform architect at SAP Ariba and an independent digital transformation consultant who has contracted with HashiCorp, summed up the challenge plainly:

“The only way out is to get these different mesh software stacks to interoperate. They’re all realizing they can’t try to be the big dog all by themselves, because it’s a networking problem. Standardization of that interconnect, that basic interoperability, is the only way forward — or they all fail.”

Mitchell also noted that multi-cluster deployments are already a reality for most serious container users:

“Nobody who’s serious about containers in production has just one Kubernetes cluster. Directionally, multiplatform interoperability is where everybody has to go, whether they realize it yet or not.”

Service Mesh Interface (SMI): A Common API Layer

Alongside the HCS announcement, Microsoft and HashiCorp highlighted their collaboration on the Service Mesh Interface (SMI), released in May 2019. SMI defines a set of standard Kubernetes APIs intended to work across multiple service mesh implementations, including Consul, Istio, and Linkerd.

The goal of SMI is to allow platform teams to build tooling and policies against a stable API surface without being locked into a single mesh vendor. For DevOps engineers, this means:

• Traffic policies and access controls can be written once and applied across mesh implementations.
• Observability integrations (dashboards, alert rules) do not need to be rebuilt when switching or combining mesh providers.
• Platform tooling and GitOps pipelines can target a common spec rather than vendor-specific CRDs.

Where Consul Stands Competitively

At the time of these announcements, Consul held a practical edge over Istio in two areas: the maturity of its inter-cluster gateway (Consul Connect) and its ability to orchestrate VMs and bare-metal workloads alongside Kubernetes containers. Istio Gateway and Istio Multicluster projects were both emerging at that time, and VM integration was still in development.

Linkerd had arguably the strongest production credentials among the three, particularly for VM-based service mesh orchestration.

Tom Petrocelli, an analyst at Amalgam Insights, offered a longer-term perspective on how the market might consolidate:

“Service mesh will become like electricity, just something you expect. The vast majority of people will go with what’s in their preferred cloud platform.”

Key Questions Around HashiCorp Consul Service on Azure

Petrocelli identified two open questions that would determine HCS’s long-term impact on Azure:

1. Azure Service Fabric Integration

At launch, HCS did not interoperate with Azure Service Fabric, Microsoft’s original hosted service mesh and orchestration platform. For HCS to achieve broad adoption among Azure-native developers — not just HashiCorp customers already using Consul — integration with Service Fabric would be an important milestone.

“I’m not really going to get excited about something in Azure that doesn’t take advantage of Azure’s own fabric.” — Tom Petrocelli, Amalgam Insights

2. Microsoft’s Positioning Strategy

Whether Microsoft positions HCS as its preferred service mesh for Azure or as one option among many hosted service mesh offerings will significantly affect uptake. If HCS is treated as the recommended default, it gains marketing momentum. If it sits alongside competing offerings with no differentiation, its appeal narrows to existing HashiCorp shops.

“If [HCS] is one of many [service mesh offerings on Azure], it’s nice if you happen to be a HashiCorp customer that also uses Azure.” — Tom Petrocelli, Amalgam Insights

What This Means for DevOps Engineers

For DevOps and platform engineering teams evaluating service mesh options on Azure, the key takeaways from these announcements are:

• If you already use HashiCorp tooling (Vault, Terraform, Nomad), HCS lowers the operational cost of adding Consul as a managed service without running your own control plane.
• If your infrastructure spans multiple Kubernetes clusters or includes VMs and bare metal, Consul Connect’s inter-cluster gateway capabilities are worth evaluating against Istio Multicluster and Linkerd’s equivalents.
• If you’re building platform tooling or policies that need to survive mesh vendor changes, track the SMI specification and prefer mesh implementations that conform to it.
• If you’re Azure-native and use Service Fabric, verify current HCS integration status before committing, as this was an open gap at launch.

The broader industry direction — toward standardized interoperability between mesh control planes — benefits enterprises running heterogeneous infrastructure regardless of which mesh vendor they choose today.