[{"data":1,"prerenderedAt":815},["ShallowReactive",2],{"/en-us/blog/one-billion-pipelines-cicd":3,"navigation-en-us":37,"banner-en-us":446,"footer-en-us":456,"blog-post-authors-en-us-Jackie Porter":697,"blog-related-posts-en-us-one-billion-pipelines-cicd":711,"blog-promotions-en-us":751,"next-steps-en-us":805},{"id":4,"title":5,"authorSlugs":6,"body":8,"categorySlug":9,"config":10,"content":14,"description":8,"extension":25,"isFeatured":12,"meta":26,"navigation":27,"path":28,"publishedDate":20,"seo":29,"stem":33,"tagSlugs":34,"__hash__":36},"blogPosts/en-us/blog/one-billion-pipelines-cicd.yml","One Billion Pipelines Cicd",[7],"jackie-porter",null,"news",{"slug":11,"featured":12,"template":13},"one-billion-pipelines-cicd",false,"BlogPost",{"title":15,"description":16,"authors":17,"heroImage":19,"date":20,"body":21,"category":9,"tags":22},"Beyond source code management: 1 billion pipelines of CI/CD innovation","GitLab recently reached a major CI/CD milestone - find out what this means for customer innovation.",[18],"Jackie Porter","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749668799/Blog/Hero%20Images/securitylifecycle.png","2023-10-04","\nOur DevSecOps journey began with a clear vision: to empower developers and organizations with a unified platform for simplifying the software development lifecycle. Today, GitLab enables thousands of organizations to accelerate value delivery by going beyond source code management and enhancing the CI/CD capabilities of our AI-powered DevSecOps platform. We recently achieved a significant milestone demonstrating how this innovation drives customer success – 1 billion pipelines have now run on GitLab's SaaS-based DevSecOps Platform.\n\nFrom healthcare to finance, e-commerce to education, our platform has become the backbone of [digital transformation journeys worldwide](https://about.gitlab.com/customers). Every day, more and more customers like [Lockheed Martin](https://about.gitlab.com/customers/lockheed-martin/), [Carfax](https://about.gitlab.com/customers/carfax/), [Hackerone](https://about.gitlab.com/customers/hackerone/), and [Deutsche Telekom](https://about.gitlab.com/customers/deutsche-telekom/) are benefitting from GitLab's CI/CD, which automates the building, testing, packaging, securing, and deploying of code, starting at their first commit. With GitLab, they deliver better code and faster releases – fewer bugs and more time spent on new features.\n\n> Test-drive CI/CD today with a [free trial of GitLab Ultimate](https://gitlab.com/-/trials/new).\n\n## Customer-driven innovation\nGitLab delivers customer-driven innovation through collaboration and contributions from the community and customers. In addition, as [GitLab is developed using GitLab](https://handbook.gitlab.com/handbook/engineering/development/principles/#dogfooding), we are able to identify and tackle the same issues our customers face. Let’s look at some of the critical advancements in GitLab CI/CD.\n\n### Dealing with time-to-market pressures\n\nTime-to-market is critical in today's fast-paced economic environment. GitLab's CI/CD pipelines accelerate the software delivery process, enabling organizations to respond swiftly to market demands. By incorporating artificial intelligence (AI) across the software development lifecycle, GitLab helps organizations improve productivity, enabling them to develop, secure, and deploy software even faster. Our new [GitLab Duo AI](https://about.gitlab.com/gitlab-duo-agent-platform/) capabilities further improve productivity and efficiency, including:\n* Code Suggestions, which helps with faster code creation\n* Suggested Reviewers, which expedites code reviews and approvals\n* Vulnerability summary, which aids with rapid vulnerability remediation\n* Value stream forecasting, which predicts future team efficiency\n\n_“Time to market was a big issue for us. Before our transformation to Agile and DevOps started, we had release cycles of nearly 18 months in some cases. We've been able to dramatically reduce that to roughly 3 months.\" Thorsten Bastian, Business Owner IT, CI/CD Hub, Telekom IT, [Deutsche Telekom](https://about.gitlab.com/customers/deutsche-telekom/)_\n\nGet to know GitLab's CI/CD capabilities with this demo.\n\n\u003Cfigure class=\"video_container\">\n  \u003Ciframe src=\"https://www.youtube.com/embed/WKR-7clknsA\" frameborder=\"0\" allowfullscreen=\"true\"> \u003C/iframe>\n\u003C/figure>\n\n\n### Facing security vulnerabilities head-on\n\nSecurity is seamlessly integrated into the CI/CD pipeline within the natural workflow of developers, enabling them to detect vulnerabilities early. Security scans, including static application security testing ([SAST](https://docs.gitlab.com/ee/user/application_security/sast/)) and dynamic application security testing ([DAST](https://docs.gitlab.com/ee/user/application_security/dast/)), are incorporated directly into the CI/CD pipeline, helping to ensure that every release is secure by design. Security checks become integral to the development process, reducing the risk of vulnerabilities delaying releases. GitLab enables compliance teams to apply relevant controls and governance frameworks. Recently, we launched new capabilities to centralize policy management, expand reports and controls, and enhance our compliance dashboards.\n\n_“GitLab is helping us catch security flaws early and it's integrated it into the developer's flow. An engineer can push code to GitLab CI, get that immediate feedback from one of many cascading audit steps, and see if there's a security vulnerability built in there, and even build their own new step that might test a very specific security issue.” Mitch Trale, Head of Infrastructure, [HackerOne](https://about.gitlab.com/customers/hackerone/)_\n\nLearn how to use vulnerability management tools in your environment with this demo.\n\n\u003Cfigure class=\"video_container\">\n  \u003Ciframe src=\"https://www.youtube.com/embed/8SJHz6BCgXM\" frameborder=\"0\" allowfullscreen=\"true\"> \u003C/iframe>\n\u003C/figure>\n\n\n### Dealing with developer productivity and toolchain complexity\nGitLab helps organizations build a framework for platform engineering to create golden paths to standardize, scale, and secure workflows.\n\nEstablishing these golden paths helps combat cognitive overload and the trend of \"you build it, you run it,\" which have taken a toll on developer productivity and happiness. Golden paths also support consistent application of policies across the organization, addressing the challenges that arise when [different teams use different processes and tools](https://about.gitlab.com/the-source/platform/devops-teams-want-to-shake-off-diy-toolchains-a-platform-is-the-answer/). GitLab includes capabilities like templates, inheritance rules, infrastructure as code, and remote development that benefit DevSecOps teams by reducing time to onboard new developers, improving workflow efficiency and collaboration, and supporting workspace flexibility.\n\n_“It seems that everything is just cleaner now when moving code to production. We’re putting out more new product features because teams are spending more time creating code than making sure their pipelines are running. When we go to commonize our CI/CD pipelines, we can move them (workloads to the cloud) with a common on-ramp that makes it easier.” Mark Portofe, Director of Platform Engineering, [CARFAX](https://about.gitlab.com/customers/carfax/)_\n\nHear Mark Portofe from CARFAX walk through their journey of establishing golden paths to improve developer productivity with GitLab.\n\n\u003Cfigure class=\"video_container\">\n  \u003Ciframe src=\"https://player.vimeo.com/video/853193701?h=1c829eb7b7\" frameborder=\"0\" allowfullscreen=\"true\"> \u003C/iframe>\n\u003C/figure>\n\n\n## Looking ahead\nGitLab remains committed to pushing the boundaries of what's possible in CI/CD. We continue to innovate and provide you with the tools and capabilities you need to stay ahead in a rapidly evolving tech landscape. Here are some of the key capabilities we are excited to roll out in the coming months:\n\n* [CI/CD catalog](https://about.gitlab.com/blog/introducing-ci-components/) to create discoverable, shareable, and accessible building blocks that promote reuse and innersourcing and support scalable DevSecOps processes\n* [Customizable roles](https://about.gitlab.com/blog/expanding-guest-capabilities-in-gitlab-ultimate/) to implement customizable separation of duties policies\n* [AI capabilities](https://about.gitlab.com/blog/modern-software-development-problems-require-modern-ai-powered-devsecops/) like Code Suggestions extended to self-managed deployments and GitLab Duo Chat to provide a context-aware assistant for developers to enhance their productivity\n* [Comprehensive and centralized policy management](https://about.gitlab.com/blog/meet-regulatory-standards-with-gitlab/) that combines the flexibility of compliance pipelines with the user experience of scan execution policies into a single solution\n\nGitLab was named a Leader in the 2023 Gartner® Magic Quadrant™ for DevOps Platforms. We believe this recognizes our role in helping customers streamline their software delivery process and deliver software faster. [Download the report](https://about.gitlab.com/gartner-magic-quadrant) to learn more.\n\nYou can try CI/CD today with a [free trial of GitLab Ultimate](https://gitlab.com/-/trials/new).\n\n_Gartner, Magic Quadrant for DevOps Platforms, Manjunath Bhat, Thomas Murphy, Et al., 05 June 2023. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose._\n\n_Disclaimer: This blog contains information related to upcoming products, features, and functionality. It is important to note that the information in this blog post is for informational purposes only. Please do not rely on this information for purchasing or planning purposes. As with all projects, the items mentioned in this blog and linked pages are subject to change or delay. 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named a 2026 Omdia Universe Leader","Omdia's 2026 report on AI-assisted software development ranked 19 vendors. Here is what GitLab's top scores mean for engineering teams.",[717],"Rebecca Carter","https://res.cloudinary.com/about-gitlab-com/image/upload/v1774465167/n5hlvrsrheadeccyr1oz.png","GitLab is named a Leader in the 2026 Omdia Universe for AI-assisted Software Development, IDE-based Tools. Of the nineteen vendors evaluated by the independent analyst firm, GitLab earned best-in-class scores in three categories: Solution Breadth (100%), Strategy and Innovation (88%), and Core Features (82%). Top-tier ratings followed for Extended Features and Vendor Execution.\n\n\nThis year's assessment is notable for a specific reason: Omdia expanded its evaluation criteria, and for the first time, AI development tools were scored on full software lifecycle capability, not just coding. That shift mirrors where the AI evolution is heading and shook up which vendors came out on top.\n\n\n![Omdia Universe chart](https://res.cloudinary.com/about-gitlab-com/image/upload/v1775848262/asyd6bpbtwlhicqonhit.png \"Source: Omdia, Universe: AI-assisted Software Development, Part 1: IDE-based Tools, 2026\")\n> [Download the full Omdia Universe report.](https://learn.gitlab.com/c/analyst-omdia-ai?x=fRC1cQ)\n\n## About Omdia Universe\n\nOmdia Universe plots vendors across Solution Capability and Strategy and Execution, producing three tiers: Leaders (strongest on both axes, recommended for every shortlist), Challengers (narrower feature range or earlier in maturity), and Prospects (earlier-stage or adjacent-fit vendors).\n\n## What changed in this year's assessment\n\nThe expansion of Omdia's criteria reflects something practitioners are already experiencing. AI coding tools have raised developer output significantly, and applications that once took weeks can now be prototyped in a fraction of the time. But acceleration at the coding stage does not automatically translate to faster delivery. Review backlogs grow. Security findings accumulate. Deployments still require coordination across teams using tools that were not designed to work together.\n\nOmdia captured this dynamic directly: The tools pulling ahead are the ones that handle testing, security, deployment, and orchestration. Not just code generation. That finding drove the decision to broaden the assessment criteria and separated the Leaders from the Challengers.\n\nThe other major shift in this year's report is how Omdia treated agentic AI. The 2026 assessment weighted agentic capabilities as a current evaluation dimension rather than a future consideration. This includes whether a platform can coordinate multiple tasks autonomously, orchestrate handoffs between specialized agents, and support teams at different stages of agent adoption.\n\n## Where GitLab scored\n\nGitLab earned best-in-class scores in three categories:\n\n**Solution Breadth: 100%.** Coverage of the full SDLC in a single platform, from planning and requirements through deployment and issue management. This includes lifecycle phases that most AI coding tools do not touch. For example, prebuilt agents like [Planner Agent](https://docs.gitlab.com/user/duo_agent_platform/agents/foundational_agents/planner/) and [Security Analyst Agent](https://docs.gitlab.com/user/duo_agent_platform/agents/foundational_agents/security_analyst_agent/) extend AI assistance into sprint planning, vulnerability triage, and remediation guidance: the parts of the lifecycle where delivery actually gets stuck.\n\n**Strategy and Innovation: 88%.** Differentiation through end-to-end orchestration, privacy-first architecture with no training on private data, and multi-model support via partnerships with Anthropic, Google, and AWS. Teams can select models suited to their workload and data requirements. The platform's approach to unified context, where agents collaborate across issues, merge requests, pipelines, and security findings without losing state, is an example of the architectural innovation Omdia recognized in this category.\n\n**Core Features: 82%.** This score reflects deep coverage across the parts of the lifecycle where engineering teams spend most of their time. Code is generated with real-time context from the IDE and codebase, tested across unit, integration, and security dimensions, and reviewed with prioritization built in. DevOps automation handles CI/CD, GitOps, and [root cause analysis](https://docs.gitlab.com/user/gitlab_duo_chat/examples/#troubleshoot-failed-cicd-jobs-with-root-cause-analysis) for pipeline failures. The [AI Impact Dashboard](https://docs.gitlab.com/user/analytics/duo_and_sdlc_trends/) gives teams measurable visibility into cycle times, deployment frequency, and where AI is actually moving the needle on productivity.\n\nGitLab also earned top-tier recognition for Extended Features (80%) and Vendor Execution (88%).\n\n## The changing role of human developers and AI agents\n\nOne of the more substantive findings in the Omdia report concerns the evolving role of the software developer alongside these tools. Development teams are increasingly a mix of AI engineers and their AI agents, with engineers supervising and directing agentic AI. With AI coding generating the bulk of the code, the human's job shifts toward ensuring technology requirements are actually met, supervising quality, applying right guardrails, designing autonomous production pipelines, and mediating between business goals and the use of agentic AI across the software lifecycle.\n\nThis shift has implications for how organizations evaluate their AI investments. A team that has automated code generation but still handles review, testing, and deployment manually has not yet truly accelerated software innovation. The productivity gain from faster coding compounds when the rest of the lifecycle can keep pace. It shrinks when it cannot, and the bottlenecks move downstream instead.\n\n## Enterprise readiness as table stakes\n\nSomething notable in how Omdia structured this year's assessment: enterprise controls and guardrails are no longer a bonus category. Compliance certifications, deployment flexibility, and privacy architecture appeared as baseline expectations for Leader-tier platforms, not as distinguishing features. Organizations in regulated industries and those with data sovereignty requirements are now weighing these factors as entry criteria.\n\nGitLab's posture on these dimensions highlight its unique differentiation in the market: SOC 2 and ISO 27001 certified platform, [privacy-first design](https://about.gitlab.com/blog/why-enterprise-independence-matters-more-than-ever-in-devsecops/) with no training on private customer data for its agentic AI capabilities, self-managed deployment support across cloud and on-premises (including air-gapped environments), and support for self-hosted AI models. Its consumption as a single-tenant SaaS application via GitLab Dedicated, with FedRAMP Moderate Authorized via GitLab Dedicated for Government, extends its leadership in deployment flexibility. \n\nThe Omdia report recognized these not as a feature list but as evidence of the platform's readiness for the organizations where the compliance bar is highest: financial services, government, healthcare, and other regulated sectors that cannot compromise on data residency or auditability.\n\n## Benchmark your maturity in software development\n\nFor teams actively evaluating where their AI development strategy stands, Omdia's recommendation is clear: GitLab belongs on the top of the list.\n\nThe deeper question for most engineering leaders right now is not which AI tool generates the best code. It is whether the code being generated can be put to production with the highest level of quality, security, and performance. It must be understood, governed, and maintained by the software teams responsible for it. With GitLab, coding speed translates to innovation velocity.\n\nIf you want to benchmark your organization’s maturity in software development best practices and evolution, you can get a personalized score and concrete next steps to take in these assessments for [AI Modernization](https://about.gitlab.com/assessments/ai-modernization-assessment/), [DevOps Modernization](https://about.gitlab.com/assessments/devops-modernization-assessment/), and [Security Modernization](https://about.gitlab.com/assessments/security-modernization-assessment/). \n\n[Download the full Omdia Universe report.](https://learn.gitlab.com/c/analyst-omdia-ai?x=fRC1cQ)\n","2026-04-13",[722,562,531,9],"research",{"featured":27,"template":13,"slug":724},"gitlab-named-a-2026-omdia-universe-leader",{"content":726,"config":735},{"title":727,"description":728,"authors":729,"heroImage":731,"date":732,"body":733,"category":9,"tags":734},"Introducing the GitLab Managed Service Provider (MSP) Partner Program","Build a profitable, services-led DevSecOps practice - backed by GitLab.",[730],"Karishma Kumar","https://res.cloudinary.com/about-gitlab-com/image/upload/v1772047747/ntihfmnu2fepamqemaas.png","2026-02-26","*This blog is written for managed service providers (MSPs) looking to build a GitLab practice. If you’re a developer or engineering leader, this is the program that can empower the partners who help teams like yours scale and move faster.*\n\nMany organizations know they need a modern DevSecOps platform. What they often don't have is the bandwidth to deploy, manage, and continuously optimize one while shipping software at the pace the business demands. That's a real opportunity for MSPs, and now GitLab has a defined program to support them.\n\nWe're excited to introduce the **GitLab MSP Partner Program**, a new global program that enables qualified MSPs to deliver GitLab as a fully managed service to their customers.\n\n## Why this matters for partners and customers\n\nFor the first time, GitLab has a formally defined, globally available program built specifically for MSPs. This means clear requirements, structured enablement, dedicated support, and real financial benefits, so partners can confidently invest in building a GitLab managed services practice.\n\nThe timing is right. Organizations are accelerating their DevSecOps journeys, but many are navigating complex migrations, sprawling toolchains, and growing security requirements on top of their core work of building and shipping software.\n\nGitLab MSP partners handle the operational side of running the platform, including deployment, migration, administration, and ongoing support, so development teams can stay focused on what they do best.\n\n## What MSP partners get\n\n**Financial benefits**: MSP partners earn GitLab partner margins plus an additional MSP premium on all transactions, new business, and renewals. You also retain 100% of the service fees you charge customers for deployment, migration, training, enablement, and strategic consulting. That's multiple recurring revenue streams built around a single platform.\n\n**Enablement and education**: Partners have access to quarterly technical bootcamps covering version updates, new features, best practices, ongoing roadmap updates, and peer sharing. Recommended cloud certifications (AWS Solutions Architect Associate, GCP Associate Cloud Engineer) round out the technical foundation.\n\n**Go-to-market support**: MSPs receive a GitLab Certified MSP Partner badge, co-brandable assets, eligibility for joint customer case studies, a Partner Locator listing, and access to Marketing Development Funds (MDF) for qualified demand generation activities.\n\n## What customers can expect\n\nCustomers working with a GitLab MSP partner get a structured, managed DevSecOps experience, documented and repeatable implementation methodologies, regular business reviews, and support with clearly defined response and escalation paths.\n\nThe result: Development teams can stay focused on building great software while their MSP partner focuses on running and optimizing the platform.\n\n## A new opportunity around AI\n\nOrganizations are increasingly looking to safely introduce AI into their software development workflows, and even experienced teams can benefit from a structured approach to rolling it out at scale. GitLab MSP partners are well-positioned to guide customers through GitLab Duo Agent Platform as part of a broader managed services offering.\n\nBy combining GitLab's DevSecOps platform with MSP-delivered operational expertise, customers can experiment with AI-assisted workflows in a governed environment, meet data residency and compliance requirements, and scale AI adoption across teams without overburdening internal resources.\n\n## Is this right for your business?\n\nThe GitLab MSP Partner Program is a strong fit if you:\n\n* Already deliver managed services in cloud, infrastructure, or application operations  \n* Want to add high-value DevSecOps to your portfolio  \n* Have or want to build technical talent interested in modern development platforms  \n* Prefer long-term customer relationships over one-time transactions\n\nIf you're already a GitLab Select and Professional Services Partner, the MSP program gives you a structured way to turn your existing expertise into a repeatable managed offering.\n\n## Getting started\n\nThe program launches with the **Certified MSP Partner** designation. There's no minimum ARR or customer count required to join. Here's how the path looks:\n\n1. **Confirm fit** - Verify you meet the business and technical requirements outlined in the [handbook page](https://handbook.gitlab.com/handbook/resellers/channel-program-guide/#the-gitlab-managed-service-provider-msp-partner-program).  \n2. **Apply via the GitLab Partner Portal** - Submit your application with business and technical documentation.  \n3. **Complete 90-day onboarding** - A structured onboarding journey covers contracts, technical enablement, sales training, and your first customer engagement.  \n4. **Launch your managed offering** - Package your services, set your SLAs, and begin engaging customers.\n\nCompleted applications are reviewed within approximately three business days.\n\n> Interested in building a GitLab managed services practice? New partners can apply [to become a GitLab Partner](https://about.gitlab.com/partners/). Existing partners can reach out to your GitLab representative to learn more about the program and tell us about the solutions you're currently offering customers through your MSP practice!\n",[562,9,273],{"featured":12,"template":13,"slug":736},"introducing-the-gitlab-managed-service-provider-msp-partner-program",{"content":738,"config":749},{"title":739,"authors":740,"date":744,"body":745,"category":9,"tags":746,"description":747,"heroImage":748},"DevSecOps-as-a-Service on Oracle Cloud Infrastructure by Data Intensity",[741,742,730,743],"Biju Thomas","Matt Genelin","Ryan Palmaro","2026-02-10","At GitLab, we know that many organizations choose GitLab Self-Managed for the control, customization, and security it provides. However, managing underlying infrastructure can be a significant operational challenge — especially for teams who want to focus on delivering software, not maintaining platforms.\n\nThat's why we're excited to work with [Oracle Cloud Infrastructure (OCI)](https://www.oracle.com/cloud/) and [Data Intensity](https://www.dataintensity.com/services/security-services/devsecops/), a trusted Oracle managed services provider, to offer a new managed service option, DevSecOps-as-a-Service, that brings together the best of both worlds: the control of GitLab Self-Managed with the operational ease of a fully managed service.\n\n## Why GitLab Self-Managed?\n\nGitLab Self-Managed gives you complete ownership of your DevSecOps platform. You control where your data lives, how your instance is configured, and can customize it to meet specific compliance, security, or operational requirements. This level of control is essential for organizations with strict regulatory requirements, data residency needs, or specific integration must-haves.\n\nThe challenge for some customers running on GitLab Self-Managed means managing servers, handling upgrades, ensuring high availability, and implementing disaster recovery. All require specialized expertise and dedicated resources.\n\n## A managed path to GitLab Self-Managed\n\nData Intensity's DevSecOps-as-a-Service on OCI removes these operational burdens while preserving the control benefits of GitLab Self-Managed. Instead of building and maintaining infrastructure yourself, you get a standalone GitLab instance managed by Data Intensity's team of experts, running on OCI's high-performance cloud infrastructure.\n\nHere's what's included:\n\n* Standalone GitLab instance on OCI infrastructure\n* 24x7 monitoring, alarming, and support\n* Quarterly patching scheduled during your chosen maintenance windows\n* Automated backups and disaster recovery protection\n\n## Scaling with your organization\n\nData Intensity’s managed service is designed to grow with your team, offering tiered architectures to match your specific user capacity and recovery requirements:\n\n| **Feature**        | **Standard**    | **Premier**     | **Premier +**   |\n|--------------------|-----------------|-----------------|-----------------|\n| **User Capacity**  | Up to 1,000     | Up to 2,000     | Up to 3,000     |\n| **Performance**    | 20 requests/sec | 40 requests/sec | 60 requests/sec |\n| **Availability**   | 99.9%           | 99.95%          | 99.99%          |\n| **Recovery (RTO)** | 48 hours        | 8 hours         | 4 hours         |\n\nFor more information, visit Data Intensity’s website to learn more about [DevSecOps-as-a-Service](https://www.dataintensity.com/services/security-services/devsecops/).\n\n## Why OCI for GitLab?\nOracle Cloud Infrastructure (OCI) provides a robust foundation for running GitLab Self-Managed, offering a secure, high-performance environment at a significantly lower cost than other hyperscalers. Organizations migrating workloads to OCI commonly realize infrastructure cost reductions of 40-50%, making it easier to fund and scale deployments.\n\nOCI supports a wide range of deployment models, from public cloud regions to specialized environments such as Government and EU Sovereign Clouds, as well as dedicated infrastructure deployed behind your firewall. These options come with consistent pricing, tooling, and operational experience, enabling teams to standardize GitLab deployments across regulated, hybrid, and global environments.\n\nThe combination of GitLab's comprehensive DevSecOps platform, OCI's high-performance infrastructure, and Data Intensity's managed services expertise provides a turnkey solution that lets your teams focus on what matters: building great software.\n\n## Is this right for your organization?\nConsider Data Intensity's DevSecOps-as-a-Service if you:\n* Want GitLab Self-Managed but need to minimize operational overhead\n* Require specific compliance, security, or data residency requirements\n* Need guaranteed SLAs and professional disaster recovery capabilities\n* Prefer predictable costs and expert management over building in-house infrastructure expertise\n* Are already using or planning to use OCI for your cloud infrastructure\n* Prioritize flexibility and control\n* Want a dedicated instance that’s managed externally but offers the control of a self-managed environment\n\n## Getting started\nOrganizations interested in running GitLab Self-Managed on OCI through Data Intensity's DevSecOps-as-a-Service can contact Data Intensity via the [Data Intensity website](https://www.dataintensity.com/services/security-services/devsecops/) to discuss specific requirements and begin deployment planning.\n\nModernizing your DevSecOps doesn't have to be complex. Data Intensity provides optional migration of code repositories and customizations to ensure a smooth transition to OCI.\n\nAs GitLab continues expanding our partner ecosystem, solutions like this demonstrate our commitment to giving organizations choice in how they deploy and manage GitLab — whether that's SaaS, self-managed, or managed services through trusted partners.",[273,531],"Run GitLab Self-Managed with minimal overhead. Data Intensity delivers DevSecOps-as-a-Service on OCI with expert management and disaster recovery.","https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098794/Blog/Hero%20Images/Blog/Hero%20Images/blog-image-template-1800x945%20%289%29_DoeBNJVrhv9FpF3WCsHNc_1750098793762.png",{"featured":27,"template":13,"slug":750},"devsecops-as-a-service-on-oracle-cloud-infrastructure-by-data-intensity",{"promotions":752},[753,767,779,791],{"id":754,"categories":755,"header":757,"text":758,"button":759,"image":764},"ai-modernization",[756],"ai-ml","Is AI achieving its promise at scale?","Quiz will take 5 minutes or less",{"text":760,"config":761},"Get your AI maturity score",{"href":762,"dataGaName":763,"dataGaLocation":240},"/assessments/ai-modernization-assessment/","modernization assessment",{"config":765},{"src":766},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/qix0m7kwnd8x2fh1zq49.png",{"id":768,"categories":769,"header":771,"text":758,"button":772,"image":776},"devops-modernization",[770,565],"product","Are you just managing tools or shipping innovation?",{"text":773,"config":774},"Get your DevOps maturity score",{"href":775,"dataGaName":763,"dataGaLocation":240},"/assessments/devops-modernization-assessment/",{"config":777},{"src":778},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138785/eg818fmakweyuznttgid.png",{"id":780,"categories":781,"header":783,"text":758,"button":784,"image":788},"security-modernization",[782],"security","Are you trading speed for security?",{"text":785,"config":786},"Get your security maturity score",{"href":787,"dataGaName":763,"dataGaLocation":240},"/assessments/security-modernization-assessment/",{"config":789},{"src":790},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/p4pbqd9nnjejg5ds6mdk.png",{"id":792,"paths":793,"header":796,"text":797,"button":798,"image":803},"github-azure-migration",[794,795],"migration-from-azure-devops-to-gitlab","integrating-azure-devops-scm-and-gitlab","Is your team ready for GitHub's Azure move?","GitHub is already rebuilding around Azure. Find out what it means for you.",{"text":799,"config":800},"See how GitLab compares to GitHub",{"href":801,"dataGaName":802,"dataGaLocation":240},"/compare/gitlab-vs-github/github-azure-migration/","github azure migration",{"config":804},{"src":778},{"header":806,"blurb":807,"button":808,"secondaryButton":813},"Start building faster today","See what your team can do with the intelligent orchestration platform for DevSecOps.\n",{"text":809,"config":810},"Get your free trial",{"href":811,"dataGaName":48,"dataGaLocation":812},"https://gitlab.com/-/trial_registrations/new?glm_content=default-saas-trial&glm_source=about.gitlab.com/","feature",{"text":502,"config":814},{"href":52,"dataGaName":53,"dataGaLocation":812},1776444481626]