Contributed Content
Efficient CI at Scale: Lessons From Uber
Dhruva Juloori | | ci, CI/CD, continuous integration, developer productivity, Machine Learning in CI, Merge Queue, monorepoAs commit velocity increases and the number of active contributors grows, monorepos also introduce significant CI challenges — such as an ever-growing queue of pending changes, frequent conflicts, long land times and ...
How to Introduce DevOps Practices in a Small Development Team Without Overhead
Small teams can adopt DevOps without the restrictiveness or requirements of a maintained engineer if they focus on the backbone principle of collaboration, automation and continuous improvement ...
Rethinking AI Software Development With a Three-Tiered Framework
What’s emerging is not a world where AI builds all the software, but one where software gets built faster, better and more precisely ...
How Microservices Guardrails Help Teams Move FasterÂ
Moti Rafalin | | architectural drift, architectural governance, architectural lifecycle, architectural observability, microservices architecture, technical debtAlthough a microservices architecture offers agility and scalability, it often introduces new complexity that can become overwhelming if left unchecked ...
Simplifying Authorization at Scale: The Importance of DevOps Workflows with Flexible, Scalable and Secure Access ControlÂ
Rakan AlZagha | | access control, Authorization-as-a-Service, cloud-native security, devops, microservices, policy as code, scalable authorizationDevOps has transformed how developers build, deploy, and manage infrastructure and applications, making automation, scalability and rapid iteration core to modern development workflows. While much of the software delivery process has evolved, authorization ...
The Era of AI-Native Software: Why Retrofitting AI Won’t Work And How DevOps Must Keep Up
Integrating artificial intelligence (AI) onto legacy software is like trying to get an old flip phone to run the latest augmented reality (AR) apps. Yet, enterprises continue to take this approach, in ...
Continuous Compliance for Cloud-Native CI/CD Pipelines
Manvitha Potluri | | Audit-ready pipelines, CI/CD, cloud-native, continuous compliance, devsecops, Infrastructure as Code (IaC), policy as code, Regulatory automationHow DevOps teams can embed auditability without sacrificing delivery speed ...
Why You Shouldn’t Forget Workflows With Agentic AI SystemsÂ
AI agents are the new kid on the block, but it doesn’t mean they’re here to usurp traditional workflows. The two work well in conjunction ...
Chaos Engineering for APIs: Integrate Failure Testing into Your CI/CD PipelineÂ
Adopting chaos engineering is not just about tools and processes. It can also lead to a significant shift in how development teams view failure ...
Streamlining CI/CD: Building Efficient Pipelines With GitHub Actions for Modern DevOpsÂ
Sai Ram Nadipalli | | Automation Continuous Integration, CI/CD pipeline, continuous deployment, devops, GitHub ActionsHow to use GitHub Actions to enhance your CI/CD pipelines, reduce operational overhead and create an automation and collaboration culture. ...
If Planes Can Fly Themselves Then Why Can’t IT Management be Autonomous?Â
Autonomous reliability platforms of the future will surface actionable insights and be competent enough to make autonomous decisions ...
Will Policy-as-Code Still Matter if AI Generates Most Code?
Organizations should start embedding PaCÂ into their AI workflows today. Tools and emerging AI-focused platforms are the first line of defense in the automated future ...
