Operations | Monitoring | ITSM | DevOps | Cloud

Scaling Argo CD Past 50 Clusters: GitOps, Pipelines, & Governance

Feb 25, 2026 By Harness In Harness
Is your engineering team hitting the "Argo Ceiling"? Argo CD is incredible at syncing state, but as you scale past 20, 50, or 100 clusters, the maintenance tax skyrockets. In this webinar, we break down why the "hub and spoke" model of GitOps creates isolated silos, leading to "tab fatigue," massive security blast radiuses, and the need for thousands of lines of brittle CI "glue code" just to handle basic release orchestration.
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jfrog

Native Nix Support in Artifactory: The Binary Cache for the Enterprise

Feb 25, 2026 By Tom Arie In JFrog
The “works on my machine” era is officially over. Nix is changing the way we think about software by treating packages as functional, immutable values, ensuring that a build works exactly the same way every time, on every machine. But while Nix excels on a local laptop, scaling that level of reproducibility across a global enterprise has historically been a challenge.
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circleci

Getting started with Windsurf and CircleCI

Feb 25, 2026 By Roger Winter In CircleCI
AI coding assistants are transforming how developers write software. Tools like Windsurf can generate entire modules, refactor complex code, and fix bugs in seconds. But speed comes with a tradeoff: AI-generated code can introduce subtle bugs, security vulnerabilities, or breaking changes that slip past even experienced developers. That’s where continuous integration comes in. CI acts as a safety net, automatically testing every change before it reaches production.
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jfrog

JFrog Takes Software Resilience to the Next Level with 99.99% Uptime SLA

Feb 24, 2026 By Sean Pratt In JFrog
Software delivery is no longer a back-office function; it’s the heartbeat of the modern enterprise. While a 99.9% uptime SLA for essential software delivery services works for many, the acceleration of software velocity has made the “three-nines” benchmark a possible liability. For high performing software organizations, and those delivering critical services, nine hours of annual downtime represents a dangerous gap in productivity and security.
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circleci

Getting started with Claude Code and CircleCI

Feb 23, 2026 By Roger Winter In CircleCI
AI-powered coding tools are changing how developers work. Tools like Claude Code can write functions, refactor code, and build features through natural conversation, often faster than you could type them yourself. But speed creates its own risks. AI-generated code can contain subtle bugs, reference packages that don’t exist, or misuse APIs in ways that only surface at runtime. That’s where continuous integration comes in. CI is a safety net that lets you move fast confidently.
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circleci

Getting started with Gemini and CircleCI

Feb 23, 2026 By Roger Winter In CircleCI
AI coding assistants like Gemini are changing how developers write code. They can generate entire functions, debug tricky issues, and help you move faster than ever before. But with that speed comes a new challenge: how do you make sure AI-generated code actually works? AI assistants are powerful, but they’re not perfect. They can introduce subtle bugs, miss edge cases, or generate code that breaks existing functionality. That’s where CI (continuous integration) comes in.
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Mapping Privileged Access Management (PAM) Tools To Real-World Use Cases in 2026

Mapping Privileged Access Management (PAM) Tools To Real-World Use Cases in 2026

Feb 23, 2026 By OpsMatters In OpsMatters
Not every privileged access management (PAM) tool solves every problem. The PAM market has fragmented into distinct categories, each designed for different operational realities. Choosing the wrong category wastes budget and leaves gaps. Choosing the right one simplifies security and compliance simultaneously. The challenge for security teams in 2026 is that traditional PAM categories - vault-based, agent-based, cloud-native - no longer map cleanly to how organizations actually use privileged accounts.
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razorops

AWS vs Google Cloud vs Azure for Cloud-Native and Kubernetes

Feb 21, 2026 By Shyam Mohan In Razorops
Cloud adoption is no longer about “moving to the cloud.” It’s about building cloud-native platforms that are scalable, observable, automated, and Kubernetes-driven. This guide provides a deep comparison of with a focus on Kubernetes, platform engineering, DevOps, and modern workloads, aligned with standards pioneered by the Cloud Native Computing Foundation.
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circleci

Getting started with Amazon Q Developer and CircleCI

Feb 19, 2026 By Roger Winter In CircleCI
AI coding assistants like Amazon Q Developer are transforming how you write software. They can generate entire functions, explain complex code, and help you move faster than ever. But there’s a catch: AI-generated code isn’t always correct. It can introduce subtle bugs, security vulnerabilities, or break existing functionality in ways that aren’t immediately obvious. That’s where continuous integration comes in.
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circleci

Simultaneous multi-cloud deployment to AWS and GCP with CircleCI

Feb 19, 2026 By Olususi Oluyemi In CircleCI
AWS recently experienced a significant outage. The outage took down major services, including parts of McDonald’s mobile ordering system, some Netflix features, and many other applications that relied solely on AWS infrastructure. This event perfectly illustrates why relying on just one cloud platform can be risky.
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jfrog

The Need for Clean in the AI Era

Feb 19, 2026 By Sean Pratt In JFrog
In the AI era, software and new models are being born at a breakneck pace—but they’re also bringing a lot of “baggage” into the world. While AI coding agents are busy accelerating innovation, they’re also excellent at generating a massive byproduct: “digital dust.” Between obsolete releases, orphaned dependencies, and massive model versions, your repository may soon start to look more like a digital junk drawer than a streamlined machine.
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circleci

5 key takeaways from the 2026 State of Software Delivery

Feb 18, 2026 By Ron Powell In CircleCI
AI has made it easier than ever to write code. Shipping it is a different story. Today we released the 2026 State of Software Delivery report, sponsored by Thoughtworks. In it, we analyzed more than 28 million CI/CD workflows across thousands of engineering teams. The picture that emerged is clear: teams are producing more code than ever, but fewer of them are able to turn that activity into software that actually reaches customers.
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circleci

Build and test your first Kubernetes operator with Go, Kubebuilder, and CircleCI

Feb 18, 2026 By Olususi Oluyemi In CircleCI
Kubernetes operators extend the Kubernetes API with custom logic, automating tasks like provisioning, configuration, and policy enforcement. Instead of managing these tasks manually or with ad hoc scripts, Operators codify your workflows into controllers that run natively inside the cluster. In this tutorial, you’ll build a simple operator using Go and Kubebuilder; a framework that scaffolds much of the boilerplate so you can focus on core logic.
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harness

Unit Testing in CI/CD: How to Accelerate Builds Without Sacrificing Quality | Harness Blog

Feb 11, 2026 By Chinmay Gaikwad In Harness
Smart test selection, parallel test runs, and intelligent caching can all speed up builds without sacrificing code quality. Fast, focused, and separate unit tests are very important for quick development. They give you feedback right away and make it easier to refactor with confidence. Unit tests are a quick and cheap way to find logic errors, but they can't check how different parts work together. For full coverage, use them with integration tests and end-to-end tests.
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3 Tips for a Smoother Software Deployment Process

3 Tips for a Smoother Software Deployment Process

Feb 2, 2026 By OpsMatters In OpsMatters
Just because software releases have become more frequent doesn't necessarily mean they're always smooth. Many teams can push changes on schedule and still lose time to noisy pipelines, brittle handoffs, and production checks that start only after users complain. The result is work that feels fast until it gets slowed down by issues.
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circleci

Automating Infrastructure as Code changes with an AI agent

Feb 1, 2026 By Olususi Oluyemi In CircleCI
The infrastructure management landscape is undergoing a fundamental transformation. Infrastructure as Code has already revolutionized how we provision and manage cloud resources by treating infrastructure as software. The next evolutionary step involves intelligent automation that can understand, adapt, and optimize these configurations independently.
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