Overview of the Global DevOps Tool Market

The DevOps tool market has grown steadily as enterprises across industries accelerate software delivery cycles, automate infrastructure management, and adopt continuous integration and continuous delivery (CI/CD) practices. A market research report published in late 2019 examined the competitive landscape, regional adoption patterns, and segment-level dynamics of the global DevOps tool market, projecting growth from 2020 through 2029.

The report analyzed vendors across the full DevOps toolchain — spanning version control, configuration management, containerization, release automation, and monitoring — and segmented the market by product maturity tier, end-use industry, and geography.

Leading Vendors in the Global DevOps Tool Market

The research identified the following companies as key participants competing on pricing, service quality, breadth of toolchain coverage, and innovation roadmap:

• Puppet Labs – Configuration management and infrastructure automation
• Chef – Policy-as-code infrastructure automation (now part of Progress Software)
• Docker Inc – Container runtime and image registry tooling
• Red Hat – OpenShift, Ansible, and open-source DevOps integration
• Atlassian – Jira, Bitbucket, and Confluence for planning and code collaboration
• SaltStack – Event-driven configuration management and remote execution
• CA Technologies – Release automation and enterprise Agile planning
• Rackspace – Managed cloud and DevOps-as-a-service offerings
• XebiaLabs – Release orchestration and DevOps intelligence
• VersionOne – Agile and SAFe enterprise planning
• Cisco – Network automation and AppDynamics observability
• CollabNet – Enterprise ALM and version control
• HP (Micro Focus) – ALM, testing, and release management
• IBM – UrbanCode Deploy and hybrid cloud DevOps
• Microsoft – Azure DevOps, GitHub Actions, and Visual Studio tooling
• Spirent Communications – Network testing and service assurance
• VMware – Tanzu portfolio for Kubernetes-based application delivery
• DBmaestro – Database DevOps and release automation

Since the original report was published in 2019, several acquisitions have reshaped this list. Chef was acquired by Progress Software, SaltStack by VMware, XebiaLabs by Digital.ai, and VersionOne was merged into Digital.ai as well. Readers comparing current market share should verify the current corporate structure of each vendor.

Market Segmentation by Product Maturity Tier

The research categorized DevOps tools into three maturity tiers, reflecting how deeply organizations integrate DevOps practices into their software delivery pipelines:

• DevOps Ready – Tools and platforms that support foundational DevOps capabilities such as source control, basic CI, and ticketing integration. Suitable for organizations beginning their DevOps journey.
• DevOps Enabled – Solutions offering richer automation, pipeline orchestration, and cross-team collaboration. Typically adopted by organizations with established CI/CD workflows.
• DevOps Capable – Comprehensive platforms supporting end-to-end pipeline automation, advanced observability, security integration (DevSecOps), and value stream management. Targeted at mature DevOps organizations operating at scale.

Key Industry Verticals Driving Adoption

The report examined DevOps tool adoption across four primary application segments:

• IT – The largest adopter segment, spanning software vendors, managed service providers, and enterprise IT departments automating infrastructure and application delivery.
• Telecom – Network operators adopting DevOps tooling to accelerate network function virtualization (NFV) and 5G service rollout.
• BFSI (Banking, Financial Services, and Insurance) – Financial institutions leveraging DevOps to shorten release cycles while meeting strict compliance and audit requirements.
• Government and Public Sector – Public sector agencies modernizing legacy systems and adopting cloud-native delivery practices, albeit at a slower adoption pace due to regulatory constraints.

Regional Market Breakdown

The report analyzed historical adoption data from 2012 to 2019 and projected regional growth trajectories through 2029. The regions covered include:

• North America (United States, Canada, Mexico) – The most mature DevOps tool market, driven by large cloud-native technology companies and widespread enterprise adoption of Agile and CI/CD practices.
• Europe (Germany, UK, France, Russia, Italy) – Strong growth supported by digital transformation initiatives and GDPR-driven investment in auditable, automated delivery pipelines.
• Asia Pacific (China, Japan, South Korea, India, Southeast Asia) – The fastest-growing regional segment, fueled by rapid cloud adoption, a large developer base in India, and technology investment in China and Japan.
• South America (Brazil, Argentina, Colombia) – An emerging market with growing interest from fintech and e-commerce sectors.
• Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa) – Early-stage adoption, with government-led digital transformation programs in the Gulf region acting as a primary catalyst.

Report Structure and Methodology

The underlying market research report was structured across fifteen chapters covering the full scope of market analysis:

1. Market definitions, classification, and regional segmentation
2. Supply chain analysis, including raw material sourcing and manufacturing cost structures
3. Technical data analysis: capacity, R&D status, and technology sources by manufacturing location
4. Overall market analysis: sales, capacity, and pricing by company segment
5. Regional market analysis – North America and Europe
6. Regional market analysis – China and Japan; market segmentation by product type
7. Market segmentation by application vertical
8. Major manufacturer analysis
9. Market trends by product type and application
10. Supply chain, regional marketing, and international trade analysis
11. Consumer analysis
12. –15. Sales channel analysis (distributors, brokers, wholesalers), research conclusions, and data sources

Why the DevOps Tool Market Continues to Expand

Several structural forces continue to drive investment in DevOps tooling beyond the period covered by this 2019 report:

• Cloud-native adoption: The shift to Kubernetes, microservices, and serverless architectures creates ongoing demand for orchestration, GitOps, and observability tooling.
• Security integration: The emergence of DevSecOps as a discipline has expanded the toolchain to include static analysis, software composition analysis (SCA), and secrets management.
• Platform engineering: Organizations are consolidating fragmented toolchains into internal developer platforms (IDPs), driving demand for integration and abstraction layers.
• AI-assisted development: Generative AI coding assistants and AIOps platforms are beginning to augment traditional DevOps tooling, representing a new competitive frontier for established vendors.

Summary

The global DevOps tool market encompasses a broad ecosystem of vendors, from open-source configuration management tools to enterprise release orchestration platforms. The competitive landscape identified in the 2019 research — led by vendors including Puppet, Chef, Docker, Red Hat, Atlassian, IBM, and Microsoft — has continued to evolve through consolidation, cloud-native pivots, and new entrants. Organizations evaluating DevOps tools should assess vendors against their specific maturity tier, industry compliance requirements, and cloud strategy rather than relying on point-in-time market reports alone.

Ten years after the first DevOpsDays conference in Ghent, the evolution of DevOps and organizations trying to adopt it was at the forefront of the first DevOpsDays conference in Portugal. On the first day of the conference, a mix of local and international speakers addressed the barriers to DevOps adoption, shift left testing, team patterns, and more.

Mirco Hering’s keynote on DevOps transformation set the tone and topic for the first day. Hering characterized the “The DevOps Phase” as the explosion of DevOps practices and tools, and enforced delivery processes. To move to “The Lean Phase”, organizations need to avoid cultural dogmas (e.g. “we must have a DevOps team” when it’s not clear what that means exactly is a common anti-pattern in large organizations with specialized ops needs), and focus instead on culture, people and principles. Hering stressed that instead of focusing on DevOps as an “end state”, organizations need to improve continuously (with a rigorous experimentation approach) and regularly revisit the (largest) bottlenecks in their software delivery value streams.

Allegra Cooper described how Vanguard decided to adopt cross-functional teams to accelerate software delivery back in 2015, but most of the teams still lacked the required test automation skills and this hindered their velocity. By refocusing their QA engineers to become internal testing coaches and trainers (part of a new testing center of excellence), rather than perform QA work in a silo, they were able to help teams upskill and promote a true shift left approach to test automation. To that effect, they regularly carry out initiatives such as testing dojos (immersive training with full time coaching available), brown bag sharing sessions, open office hours, internal open space conferences, and more. Another success factor for teams was the joint creation of a “shift left checklist” including desired outcomes (measured by metrics such as testing cycle time or software quality), clearly identifying what needs to be tested, how much to invest in automation, which specific skills are missing, tooling selection, CI/CD approach, and more.

Manuel Pais mentioned how Vanguard’s testing center of excellence was a clear example of an enabling team (a fundamental topology) helping product-focused teams upskill and achieve the required competences for end-to-end ownership of the products they are responsible for building and operating. Platform teams that provide common lower level services (for example, monitoring or aggregated logging) with a high degree of usability and reliability constitute another topology that helps teams adopt modern practices by avoiding the associated learning curve and cognitive load on the product team. The fourth and last fundamental team topology refers to complicated subsystem teams, but these should only be necessary when said subsystem requires PhD kind of specialized knowledge (for example, a video processing subsystem), said Pais.

Day 1 also showcased talks from local speakers on their DevOps journey, namely Diogo Oliveira detailing the challenges Outsystems faced in their adoption of Continuous Delivery at an enterprise scale, and Hugo Amorim describing the delivery pipeline at Banco BPI, a large Portuguese bank. Both speakers highlighted the need to treat the pipeline as a product, ensuring it is reliable (everything configured as code, avoiding manually created “snow flake” instances of the CI/CD tool), elastic and provides the best possible developer experience (DevEx).

There were also moments of relaxation such as Grace Chang’s self-challenge of 30 days without using Stack Overflow in order to see if their coding habits would change (hint: no conclusion there). Chang explained the need for intentionally distributing knowledge in organizations, for instance via knowledge roadmaps and automation of knowledge sharing mechanisms.

Besides active open space sessions, the first day included several Ignite talks, where Antonio Cobo’s brave karaoke talk (meaning the presenter does not know in advance what slides are going to be displayed) stood out.

Videos of the talks will be published in DevOps Days Portugal YouTube channel. According to the organizers, the next edition of the conference will take place in 2020 in the city of Oporto.

Note: The original market figures cited in the source report (USD values and CAGR) were redacted placeholders and have not been reproduced here. Readers seeking specific valuation data should consult the original report from amarketresearchgazette.com or a current equivalent from a recognized analyst firm.

What the Research Covers

Market research into the DevOps software space typically analyzes adoption rates, revenue trends, and competitive positioning across a defined study period. Reports in this category examine how the market breaks down by geography, deployment model, and end-user organization size, giving vendors and practitioners a basis for strategic decisions.

Key Vendors in the Global DevOps Software Market

The vendor landscape for DevOps software spans tooling for source control, continuous integration, configuration management, release automation, and application performance monitoring. The following companies were identified as notable players in the market research:

• VersionOne – Agile and DevOps planning platform (now part of Digital.ai)
• Pivotal Software – Cloud-native application development and platform tooling
• Chef Software – Infrastructure-as-code and configuration management
• CA Technologies – Enterprise DevOps tooling (subsequently acquired by Broadcom)
• CAST Software – Software intelligence and application analysis
• DBmaestro – Database DevOps and release automation
• Electric Cloud – Release orchestration and continuous delivery (now CloudBees)
• IBM – Broad DevOps portfolio including UrbanCode
• Kovair Software – ALM integration and DevOps workflow platform
• Sonatype – Software supply chain and component lifecycle management
• Puppet – Infrastructure automation and compliance
• BMC Software – IT automation and AIOps
• Rocket Software – Mainframe DevOps and modernization
• Microsoft – Azure DevOps and GitHub ecosystem

This list reflects the competitive landscape as it existed at the time the original report was published. Several of these companies have since been acquired, merged, or rebranded. The current market includes additional significant players such as GitLab, HashiCorp, JFrog, and Atlassian.

Geographic Segments

The research segmented the global DevOps software market across the following regions:

• United States – The largest single market, driven by early enterprise adoption, cloud-native investment, and a mature SaaS ecosystem
• European Union – Strong adoption across financial services, manufacturing, and public sector, with GDPR influencing tooling choices around audit and access control
• Japan – Growing adoption shaped by digital transformation initiatives in traditionally waterfall-oriented organizations
• China – Rapid growth fueled by domestic cloud providers and large-scale internet companies
• India – A major hub for DevOps services and tooling adoption, given its large software engineering workforce
• Southeast Asia – Emerging market with increasing cloud adoption and startup-driven DevOps demand

Deployment Models: Cloud vs. On-Premises

DevOps software is available in two primary deployment models, each suited to different organizational constraints:

Cloud-Based

SaaS and hosted DevOps platforms reduce infrastructure overhead and allow teams to get started quickly. Tools like GitHub Actions, Azure DevOps Services, and CircleCI operate on this model. Cloud-based deployment is particularly attractive for smaller teams and organizations undergoing cloud migration.

On-Premises

Self-hosted DevOps toolchains remain common in regulated industries such as finance, healthcare, and government, where data residency and network isolation requirements restrict the use of external SaaS platforms. On-premises deployments typically involve tools like GitLab Self-Managed, Jenkins, or Nexus Repository.

Target Customer Segments

The market is typically divided by organization size, as the tooling needs and procurement approaches differ significantly:

Large Enterprises

Enterprise DevOps buyers prioritize security, compliance, integration with existing ITSM and CMDB systems, role-based access control, and vendor support SLAs. Procurement cycles are longer, and deployments often span multiple teams and business units.

Small and Medium-Sized Businesses (SMB)

SMBs typically favor low-overhead, subscription-based tools that can be adopted without dedicated platform engineering teams. Ease of onboarding, transparent pricing, and community support are significant purchase criteria in this segment.

Market Growth Drivers

Several structural trends continue to push investment into DevOps software:

• Faster release expectations – Competitive pressure demands shorter time-to-market, pushing organizations away from manual release processes
• Cloud migration – Moving workloads to cloud platforms creates a natural entry point for cloud-native CI/CD and infrastructure automation tooling
• Security integration (DevSecOps) – Growing awareness of software supply chain risk is driving adoption of tools for dependency scanning, secrets management, and policy enforcement within pipelines
• Platform engineering – Large organizations are investing in internal developer platforms (IDPs) built on DevOps tooling to standardize and accelerate delivery across teams
• Regulatory compliance – Audit trail requirements and change management obligations are pushing regulated industries to formalize and automate their deployment processes

Challenges and Restraints

Despite strong growth, DevOps software vendors and adopters face real challenges:

• Cultural resistance – Tool adoption without organizational change management rarely delivers the expected outcomes; people and process changes are prerequisites for tooling to deliver value
• Toolchain sprawl – Teams frequently end up with overlapping tools, creating integration complexity and maintenance burden
• Skills gaps – Demand for engineers capable of designing and operating DevOps platforms consistently outpaces supply
• Vendor lock-in risk – Deep integration with a single cloud provider’s DevOps services can constrain future architectural choices
• Security concerns – Automated pipelines with broad permissions are attractive targets; misconfigured CI/CD systems have been a vector in several high-profile supply chain attacks

Summary

The global DevOps software market encompasses a wide range of tools and platforms serving organizations from SMBs to global enterprises across all major geographies. The competitive landscape has continued to consolidate through acquisitions while also expanding with new entrants addressing emerging needs such as GitOps, platform engineering, and AI-assisted development workflows. Organizations evaluating the market should look beyond headline vendor rankings and assess tooling against their specific deployment model preferences, compliance requirements, and existing infrastructure.

Source: Original market overview sourced from amarketresearchgazette.com via Crystal Market Reports. Specific valuation figures were not available in the source material reviewed.

The following guide covers major DevOps-focused conferences, originally compiled for 2017. While specific dates and venues change each year, the conferences themselves remain relevant fixtures in the DevOps calendar. Use this as a framework for evaluating which events align with your role, toolchain, and learning goals.

DevOpsDays

DevOpsDays is a globally distributed series of community-driven events designed for DevOps practitioners to share lessons learned, war stories, and best practices. Events are held throughout the year in cities around the world, making it one of the most accessible conference series regardless of your location.

A standout feature of DevOpsDays is its format: mornings typically feature short, focused presentations, while afternoons open into self-organized Open Spaces discussions driven by attendees. This format encourages genuine conversation rather than passive consumption of vendor-driven content. Past events have attracted hundreds of attendees per city, with a noted emphasis on diversity and inclusion among speakers.

Check devopsdays.org for current event listings in your region.

DockerCon

DockerCon is the flagship annual conference for the Docker ecosystem, drawing developers, operations engineers, DevOps practitioners, system administrators, and executives. The event centers on Docker’s open-source containerization platform and the broader container ecosystem, covering topics such as container orchestration, security, networking, and developer workflows.

The conference typically features high-energy keynotes with live demos, deep-dive technical sessions, and a large expo hall. With thousands of attendees expected at each edition, it provides substantial networking opportunities across a wide range of industries and company sizes.

Gartner IT Infrastructure, Operations & Cloud Strategies Conference

Gartner’s infrastructure and operations conference targets IT professionals responsible for cloud operations, IT operations management, and IT service support. The event is notable for its analyst-driven content, with Gartner researchers presenting research findings and actionable guidance rather than vendor pitches.

Typical conference tracks span cloud and virtualization strategy, DevOps and Agile adoption, IT operations optimization, leadership and organizational change, and emerging technology trends. The event is particularly valuable for IT managers and directors who need to build a business case for technology investments or navigate organizational change.

Interop ITX

Interop ITX positions itself as an independent conference for IT and technology leaders, with a deliberate focus on vendor-neutral content. A vendor-neutral business hall allows attendees to see how different components of the current technology landscape fit together without the distortion of individual vendor marketing.

The event typically offers more than 100 panel and speaker-led sessions covering networking, security, cloud infrastructure, and DevOps practices. For IT generalists who need broad, practical coverage rather than deep specialization in a single tool or platform, Interop ITX is a strong option.

ChefConf

ChefConf is the primary annual gathering for users and contributors to the Chef infrastructure automation platform. The event combines practical workshops, technical presentations, and community discussions for professionals working on continuous delivery, configuration management, and infrastructure-as-code.

Past editions have featured keynotes from enterprise practitioners at organizations such as Alaska Airlines, Google, and Liberty Mutual, offering real-world context for how large organizations implement Chef at scale. Workshops cover both introductory and advanced topics, including compliance automation, cookbook development, and cloud integrations.

Monitorama

Monitorama is a single-track, open-source conference and hackathon dedicated to monitoring, observability, and operational visibility. Its single-track format means all attendees share the same sessions, fostering a stronger sense of community and making hallway conversations more productive.

The conference covers monitoring both as a technical discipline and a cultural practice. Sessions frequently address metrics collection, alerting design, log management, distributed tracing, and the human factors involved in on-call operations. It attracts practitioners from companies across the spectrum of scale, and speakers often share candid post-mortems and hard-won operational lessons.

DevOps Enterprise Summit

The DevOps Enterprise Summit (DOES) is specifically designed for leaders and practitioners at large, complex organizations navigating the cultural and technical transformation to DevOps. Unlike conferences that skew toward individual contributors, DOES draws a significant proportion of managers, directors, VPs, and C-suite attendees.

The conference is organized by IT Revolution, founded by Gene Kim (co-author of The Phoenix Project and The DevOps Handbook). Sessions focus on real transformation case studies from enterprise organizations, with speakers drawn from companies such as Disney, Unilever, SAP, and other large enterprises. The event runs in both North America and Europe each year.

O’Reilly Velocity Conference

The O’Reilly Velocity Conference targets application developers, performance engineers, system architects, and web operations professionals. Its focus spans cloud infrastructure, distributed systems, site reliability engineering, performance optimization, automation, and security.

Velocity is particularly well-regarded for its technically rigorous content and its role in popularizing concepts like Site Reliability Engineering (SRE) and web performance best practices. The conference has historically been co-located with other O’Reilly events, broadening the range of available sessions for attendees who want to cross disciplines.

Jenkins World (now cdCon / CloudBees DevOps World)

Jenkins World was established as the premier annual conference for the Jenkins open-source automation server community. Jenkins, a Java-based continuous integration and continuous delivery server, is one of the most widely deployed CI/CD tools in the industry, and the conference reflects that breadth with sessions covering pipelines, plugins, security, scalability, and integrations.

The event grew from a few hundred attendees at its first edition in 2011 to thousands of participants globally. Sessions routinely include keynotes from Jenkins founder Kohsuke Kawaguchi, deep-dive technical workshops, an Ask the Experts area, and a community hub. Note that the conference has evolved and rebranded in subsequent years; check the current CloudBees and Jenkins community channels for the latest event name and dates.

Microsoft Ignite

Microsoft Ignite is Microsoft’s flagship annual conference for enterprise IT professionals. It covers the full breadth of Microsoft’s product and service portfolio, including Azure cloud infrastructure, Microsoft 365, security, big data, AI, and developer tools.

For DevOps engineers working within Microsoft-centric environments, Ignite offers dedicated tracks on Azure DevOps, GitHub Actions, cloud-native development, and infrastructure automation. With hundreds of sessions and interactive labs, it is one of the largest enterprise IT conferences globally. A virtual attendance option has been available in recent years, significantly expanding accessibility.

PuppetConf

PuppetConf is the annual community and user conference for the Puppet infrastructure automation platform. It combines breakout sessions, networking events, training courses, and a Puppet Contributor Summit into a multi-day program.

Sessions cover a wide range of experience levels, from introductory Puppet usage to advanced topics such as compliance automation, security hardening, cloud provisioning, and continuous delivery pipelines. The Contributor Summit is specifically designed for open-source contributors and community members working on Puppet modules and related projects. Pre-conference training days offer hands-on deep dives with Puppet Enterprise and its components.

IT/Dev Connections

IT/Dev Connections is a practitioner-focused conference known for its emphasis on technical depth over marketing gloss. Past editions have organized content into tracks covering data platforms and business intelligence, enterprise management and security, cloud and data center infrastructure, and development and DevOps.

Attendees have consistently praised the event’s manageable size, which makes it easier to hold substantive conversations with speakers and other attendees without the anonymity that can accompany larger events. It suits engineers and architects looking for actionable, hands-on content from peer practitioners.

LISA (Large Installation System Administration Conference)

LISA, organized by USENIX, is one of the longest-running conferences for system administrators and operations engineers. It brings together professionals who build, maintain, and evolve large-scale interconnected systems, with a focus on culture, engineering discipline, and architectural thinking as much as on specific tools.

The conference is notable for its academic rigor alongside practical content. Sessions often address topics such as reliability engineering, automation, security operations, and organizational change in IT. The famous Birds of a Feather (BoF) sessions allow informal, self-organized gatherings on niche topics that formal conference tracks rarely cover. LISA is particularly well-suited for senior engineers and system architects interested in the broader craft of operations.

How to Choose the Right Conference

With a growing number of DevOps-related events available each year, prioritizing which ones to attend requires a clear-eyed assessment of your current role, learning objectives, and toolchain. Consider the following criteria:

• Role alignment: Individual contributors typically get more value from tool-specific conferences (ChefConf, PuppetConf, Jenkins World), while leaders benefit more from enterprise-focused events like DevOps Enterprise Summit or Gartner’s operations summit.
• Toolchain relevance: If your organization runs a particular platform heavily, its dedicated conference offers access to the deepest expertise and community.
• Community vs. vendor content: Open-source community conferences (DevOpsDays, Monitorama, LISA) tend to offer candid, practitioner-driven content. Vendor-backed events may provide excellent technical depth but filter content through a commercial lens.
• Format: Multi-track conferences maximize session variety; single-track events like Monitorama maximize community cohesion. Consider which you find more productive.
• Budget: Registration costs, travel, and accommodation vary enormously. Regional DevOpsDays events are typically the most accessible; large enterprise summits can be significantly more expensive.

Regardless of which events you choose, the returns extend beyond the sessions themselves. The conversations during breaks, the hallway track, and the connections you make with peers who face similar challenges are often the most enduring value of in-person attendance.

Note: Conference dates, venues, and formats change annually. Always verify current schedules directly with event organizers before making travel arrangements.

2016: A Turning Point for DevOps and ALM

By the end of 2016, DevOps had moved well beyond the realm of early adopters and enthusiast engineers. Enterprise teams across industries — including government — were visibly accelerating their transitions to Agile development practices and DevOps delivery models. To capture what really changed that year, CollabNet interviewed a panel of leading application development industry analysts, asking them a single pointed question:

“What were the greatest successes made in 2016 in the software development industry, specifically for ALM and DevOps?”

Their answers highlight four distinct but interconnected themes: toolchain maturity, operational adoption, CI/CD pipeline growth, and container standardization.

What the Analysts Said

Toolchain Cohesion: From Chaos to Collaboration

“DevOps/ALM coming of age. Rather than being a ragtag collection of disparate tools chosen and used by individuals for their own ends, we are finally seeing tools coming through that enable full collaboration and control along the entire lifecycle, while still enabling a degree of individual choice as to the base tools being used.”

Clive Longbottom, Founder and Analyst, Quocirca

Longbottom’s observation reflects a long-standing tension in DevOps tooling: individual teams often selected their own preferred tools — version control, build systems, testing frameworks, deployment platforms — without any unifying layer. By 2016, a new generation of ALM and DevOps platforms began offering integrated lifecycle views while preserving team autonomy at the tooling level. This balance between standardization and flexibility became a defining characteristic of more mature DevOps environments.

Operational Adoption: From Theory to Practice

“I think the biggest success in the industry is simply getting companies to understand the significant value, and in some cases, the need for tools to assist in DevOps. DevOps and Agile are more than just the frameworks and ideas for faster application development but should be the model for the operational usage of them. That shift toward implementing operational usage and the tools needed for it was very important.”

Edwin Yuen, Analyst, ESG

Yuen identifies a critical maturity milestone: the transition from understanding DevOps as a conceptual framework to actually instrumenting it operationally. Many organizations in earlier years adopted Agile ceremonies or DevOps language without putting the supporting tooling and processes in place. 2016 saw a meaningful shift toward organizations investing in the concrete infrastructure — pipelines, automation, monitoring — needed to operationalize these practices at scale.

CI/CD Maturity: Automation Becomes the New Normal

“In application development and deployment, DevOps is now the new normal. Surveys are showing that virtually all enterprises practice Agile to some degree. The growing maturity of CI/CD products means that enterprises will be able to see higher levels of automation in the pipeline, faster time to value, higher levels of software quality, and increased IT productivity.”

Stephen Hendrick, AD Research

Hendrick’s framing — “DevOps is now the new normal” — encapsulates a significant cultural and organizational shift. Continuous Integration and Continuous Delivery (CI/CD) tooling had by 2016 matured to the point where enterprises could realistically automate large portions of their build, test, and release pipelines. The downstream benefits Hendrick cites — faster time to value, improved quality, and higher IT productivity — are outcomes that well-implemented CI/CD pipelines demonstrably support, though actual gains depend heavily on organizational context and implementation quality.

Container Standardization: The Open Container Initiative

“Containers have been with us for awhile now. The issue has been portability and standardization. The Open Container Initiative Docker PoC and Release Candidates opened the door for industry standards around container formats, which will support greater portability in the ALM/DevOps space.”

Altaz Valani, Senior Research Director, Application Development Practice, InfoTech Research Group

Container technology — particularly Docker — had been gaining momentum for several years before 2016, but fragmentation around formats and runtime behavior remained a real concern for enterprise adoption. The Open Container Initiative (OCI), launched in 2015 under the Linux Foundation, made meaningful progress in 2016 toward defining open, vendor-neutral standards for container image formats and runtimes. This standardization effort was important for organizations looking to avoid lock-in and to build portable, reproducible delivery pipelines across development, staging, and production environments.

Key Themes Emerging from 2016

• Toolchain integration over tool proliferation: The industry moved toward platforms that could provide a unified view of the software delivery lifecycle without forcing teams to abandon their preferred tools entirely.
• Operational maturity: DevOps stopped being just a cultural talking point and became something organizations were actively instrumenting with real pipelines, automation, and feedback loops.
• CI/CD as baseline expectation: Continuous integration and delivery shifted from a competitive differentiator to a baseline expectation in enterprise software delivery.
• Container standardization: Industry-wide standards work, particularly through the OCI, began reducing the portability and interoperability friction that had slowed enterprise container adoption.
• Broader organizational buy-in: DevOps and Agile practices expanded beyond development teams to influence operations, and in some cases, wider organizational structures including government agencies.

What This Meant for 2017 and Beyond

The analyst consensus from the close of 2016 pointed clearly toward a future where DevOps toolchain integration, automated pipelines, and container-based delivery would become table stakes rather than advanced practice. Organizations that had not yet begun their DevOps journeys faced increasing competitive pressure, while those already on the path were focused on scaling their practices and eliminating remaining manual bottlenecks.

The challenges heading into 2017 — cultural resistance, toolchain sprawl, skills gaps, and the difficulty of scaling Agile practices in large enterprises — would prove to be the defining conversations of the years that followed. These themes remain relevant for any team still navigating its DevOps transformation today.

Original analyst commentary sourced from CollabNet (blogs.collab.net), published January 2017. Analyst affiliations reflect their roles at the time of the original publication.

Cloud computing had already transformed many enterprises in the years before 2017, but analysts at Forrester Research argued the market was entering a meaningful second wave — one driven not by startups and early adopters, but by large enterprises migrating core business workloads. Forrester predicted the cloud market would accelerate significantly in 2017 as organizations sought compute efficiency at scale.

“The No. 1 trend is here come the enterprises,” said Forrester analyst Dave Bartoletti, primary author of the research. “Enterprises with big budgets, data centers and complex applications are now looking at cloud as a viable place to run core business applications.”

Forrester surveyed more than 1,000 North American and European enterprise infrastructure technology decision-makers and found:

• 38% were actively building private clouds.
• 32% were procuring public cloud services.
• The remainder planned to implement some form of cloud in the next 12 months.
• 59% said they were adopting a hybrid cloud model.

Based on this research, Forrester offered six cloud predictions for 2017. Each remains instructive for understanding how enterprise cloud strategy has evolved.

1. Regional Cloud Players Complement Mega-Providers

Amazon Web Services launched in 2006 with a handful of simple compute and storage services. By 2017, AWS was operating at an $11 billion annual run rate. Microsoft Azure, Google Cloud and IBM joined AWS as what Bartoletti termed “mega-cloud providers,” opening new data centers around the world and making regulatory concessions — such as Microsoft’s agreement to have T-Systems manage its cloud infrastructure in Germany to comply with data localisation requirements.

Despite their scale, these providers cannot address every regional compliance requirement, latency constraint or industry-specific need. Forrester predicted smaller regional cloud providers would see increased adoption in 2017 as a result. The practical guidance from Bartoletti: “Keep your options open and don’t be afraid to use multiple providers.”

This prediction proved accurate. Multi-cloud strategy became a dominant enterprise architecture pattern in the years that followed, driven by exactly the factors Forrester identified: regulatory complexity, data sovereignty and the limitations of any single vendor’s footprint.

Capital One’s public shift away from private cloud to AWS illustrated the broader enterprise momentum. CIO Rob Alexander explained the rationale: “We recognised that we were spending a lot of time, energy, effort and management bandwidth to create infrastructure that already exists out there in a much better state and is evolving at a furious pace.”

2. Cloud Cost Containment Becomes a Core Discipline

A common assumption in 2017 was that moving to public cloud automatically reduced IT costs. Forrester challenged this. CIOs managing multiple cloud providers faced increasingly complex vendor relationships, and poorly managed cloud consumption — such as leaving instances running over weekends when not needed — could result in spending more than an equivalent on-premises deployment.

Forrester predicted that IT organisations would mature their cost management practices in 2017. As a concrete example, Bartoletti cited a cloud architect at a large software company who reduced a $2.5 million annual cloud bill by $300,000 simply through consumption monitoring.

Cost management tooling from providers including AWS, Cloudability and Cloudyn was already available at the time. Bartoletti was direct: “There’s no reason in 2017 for your cloud costs to grow out of control.”

Cloud financial management — now commonly called FinOps — has since become its own engineering discipline, validating this prediction entirely.

3. Lift-and-Shift Migration Tools Accelerate Cloud Adoption

The ideal approach to cloud migration has always been to refactor or re-architect applications to take full advantage of cloud-native capabilities such as elasticity, managed services and auto-scaling. However, re-architecting is expensive and time-consuming — often impractical for large application portfolios.

Forrester predicted that lift-and-shift migration tools — which move existing applications to the cloud with minimal or no code changes — would lower the barrier to bulk application migrations in 2017. The trade-off is well understood: lift-and-shift gets workloads into the cloud quickly and cheaply, but organisations typically leave cloud-native efficiency gains on the table until they refactor later.

As Bartoletti put it: “In 2017, lift-and-shift migration tools will accelerate the rate of cloud migration, given their low cost for bulk application migrations.”

4. Hyperconverged Infrastructure Becomes the Private Cloud Foundation

Not every enterprise CIO was ready to move sensitive data to a third-party public cloud provider. For organisations committed to private cloud, building a capable, self-service infrastructure required advanced virtualisation, automation, standardisation and resource monitoring — capabilities that were difficult and expensive to assemble from discrete components.

Hyperconverged infrastructure (HCI) offered a compelling alternative: pre-integrated compute and storage resources in a single appliance or software-defined platform, designed to simplify private cloud deployment and reduce time to value. Forrester recommended HCI as the default foundation for private cloud builds, particularly for workloads requiring rapid, automated scale-out.

“HCI is quickly becoming the default infrastructure platform upon which to build the private portion of a hybrid cloud,” Bartoletti said.

Vendors such as Nutanix, VMware and Dell EMC drove significant HCI adoption in the years following this prediction, confirming the trend.

5. Containers Reach Every Major Cloud Platform

Containers — most prominently Docker — had been gaining developer adoption for several years by 2017. Forrester predicted that Linux containers would be available across every major public and private cloud platform by early 2017, moving from developer experimentation into production workloads at scale.

The adoption of containers brought new operational challenges, including security hardening, persistent storage, networking between containers, and production monitoring. Forrester advised organisations to carefully evaluate on-premises private Platform-as-a-Service (PaaS) options against managed public cloud development platforms before committing to a container strategy — noting that some organisations would need both.

Kubernetes, which Google open-sourced in 2014, was already emerging as the leading container orchestration system by 2017, and its subsequent dominance validated Forrester’s focus on containers as a defining trend of the era.

6. Enterprise Applications Move to Public Cloud

Perhaps the most significant signal of cloud maturity in 2017 was the willingness of large enterprises to run mission-critical business applications in the public cloud. Examples cited in the original Forrester research included:

• Dollar Shave Club running Apache Spark analytics workloads on AWS.
• Cardinal Health running Splunk on AWS.
• Multiple enterprises running SAP on AWS.

These examples represented a meaningful shift in CIO risk tolerance. Where earlier cloud adoption had focused on development environments, test workloads and commodity infrastructure, enterprises were now entrusting revenue-generating and compliance-sensitive applications to public cloud providers.

“Enterprises are turning great ideas into software and insights faster and the cloud is the best place to get quick insights out of enterprise data,” Bartoletti concluded.

Key Takeaways

Viewed from the present, Forrester’s 2017 predictions were largely accurate. Enterprise cloud adoption accelerated, multi-cloud became standard, FinOps emerged as a discipline, HCI grew rapidly, Kubernetes achieved dominance in the container space, and public cloud is now the default platform for enterprise application development. The six trends below summarise the framework:

1. Regional players complement mega-providers — Multi-cloud and regional compliance requirements drive vendor diversity.
2. Cloud cost containment — Consumption monitoring and FinOps practices become essential.
3. Lift-and-shift migration — Tooling lowers the barrier to bulk migrations even without refactoring.
4. Hyperconverged infrastructure — HCI simplifies private cloud builds within hybrid architectures.
5. Containers — Linux containers reach every major platform, introducing new operational challenges.
6. Enterprise apps on public cloud — CIOs grow comfortable running core business applications outside the data centre.

Original reporting by cio.com, based on Forrester Research analysis by Dave Bartoletti.

The Myth of Separate Worlds

The DevOps movement has gained significant momentum as organizations recognize the tangible benefits of faster software delivery, cross-functional collaboration, and continuous innovation. Yet a persistent myth continues to undermine those gains: the belief that DevOps and security teams naturally inhabit separate worlds, where developers see security as a roadblock and security teams view DevOps as an unmanaged risk.

Left unchallenged, this cultural divide does not just create friction — it creates exploitable gaps. DevOps oversights can quietly become the root cause of the next serious data breach.

Why DevOps Teams Become Attack Targets

DevOps practices introduce specific security risks that are easy to overlook when teams are focused on shipping features quickly. Three patterns stand out:

1. Minimal Oversight and the “Move Fast” Philosophy

DevOps teams are designed to move quickly and operate with considerable autonomy. That agility is a strength, but without structured security oversight built into the process, there is no reliable mechanism to confirm that code is being written and deployed securely. Speed without guardrails is a risk multiplier.

2. Over-Privileged Access

Because DevOps teams want to reduce friction and accelerate delivery, it is common for more team members than necessary to hold access to privileged or sensitive systems. A wider circle of privileged users directly increases the attack surface. Cybercriminals routinely target accounts with elevated access precisely because compromising one can yield significant rewards.

3. Unvetted DIY Toolchains

DevOps teams are pragmatic by nature and will adopt whatever tools help them ship faster — often without routing those decisions through IT security. The result is that the security team may have no visibility into which third-party applications and libraries are touching the network, no opportunity to vet them, and no process to catch outdated or vulnerable dependencies before they are embedded in production pipelines.

The Real Cost of the Silo Mentality

Data breaches driven by DevOps-related oversights are largely preventable. The irony is that the very agility that makes DevOps teams so valuable can be redirected to make compliance and security checks faster and more consistent — if teams work together rather than in opposition.

When DevOps and security remain in silos, organizations face compounding risks: misconfigured infrastructure, unreviewed code, ungoverned access, and shadow toolchains. Any one of these can serve as an entry point for a determined attacker.

A Better Approach: Security Baked Into the Pipeline

In modern cloud-native environments, developers increasingly own the full stack — application code, infrastructure-as-code, networking configuration, and storage. This expanded scope demands a rethink of how security responsibilities are distributed.

The key principle is that security awareness belongs to developers, but security ownership does not. Expecting individual developers to be fully responsible for compliance and security is unrealistic and violates the fundamental principle of Separation of Duties. Instead, security managers and platform teams should embed automated security controls directly into the DevOps toolchain — CI/CD pipelines, infrastructure provisioning workflows, and deployment gates.

This approach, often described as shifting security left, achieves several goals at once:

• Security checks run automatically at every stage of the pipeline, not just at release.
• Developers get fast feedback on security issues while context is still fresh, making remediation faster and cheaper.
• The security team retains policy control without becoming a manual bottleneck.
• Continuous integration is complemented by continuous security, reducing the risk of human error and misconfiguration in complex, fast-moving environments.

Practical Steps to Unite DevOps and Security

1. Define security policies as code. Express firewall rules, access controls, and compliance requirements in version-controlled configuration files so they travel with the application through the pipeline.
2. Integrate static and dynamic analysis into CI/CD. Tools that scan for vulnerabilities, secrets, and misconfigurations should run automatically on every pull request or build, not as a separate gate managed by a different team.
3. Enforce least-privilege access by default. Adopt role-based access controls and regularly audit who holds elevated permissions. Automate the removal of access that is no longer needed.
4. Establish a shared responsibility model. Make security metrics visible to DevOps teams and include security engineers in sprint planning and architecture reviews. Shared visibility creates shared accountability.
5. Automate compliance reporting. Where regulations require audit trails, generate them automatically from pipeline telemetry rather than relying on manual documentation after the fact.

The Bottom Line

DevOps and security are not natural enemies. The tension between them is a structural problem — one created by organizational silos, misaligned incentives, and the mistaken belief that speed and security are mutually exclusive. With the right automation tools and a culture of shared ownership, DevOps can become a driver of compliance rather than a threat to it, and security can become an enabler of delivery rather than an obstacle.

Organizations that recognize this early and invest in integrating security into their DevOps workflows will find themselves better positioned to move fast and stay safe. Those that do not will eventually discover the cost of that division — usually at the worst possible moment.

About the Original Author

This article draws on analysis contributed by Reuven Harrison, CTO and Co-Founder of Tufin. Reuven has more than 20 years of software development experience, including senior developer roles at Check Point Software, and holds a Bachelor’s degree in Mathematics and Philosophy from Tel Aviv University. He has led Tufin’s product and technology strategy since the company’s founding.

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