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Launched in 2014, DevOps.com has established itself as an indispensable resource for DevOps education and community building. We make it our mission to cover all aspects of DevOps—philosophy, tools, business impact, best practices and more.
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Recent Articles
Search ArticlesSpacelift Expands Observability Reach to OpenTofu
Key Takeaways Spacelift pinpoints slow and failed OpenTofu runs. Run Observability shows which phase, resource or provider caused the slowdown or failure and suggests a fix. OpenTofu supplies the traces. Spacelift analyzes them. Run Observability checks each trace against a set of rules and the stack’s run history to flag errors and regressions. Observability budgets are set to rise. In a Futurum Group survey of 839 decision-makers, 64% plan to spend more over the next 12 months.
AI-Generated Code Needs Independent Testing
A test can pass while confirming the wrong behavior. If the same assumption shapes both an AI-generated implementation and the tests written to check it, a successful run may offer little evidence that the user’s requirement was understood. The distinction matters when teams use coding agents to accelerate delivery: checking that code behaves as written is different from establishing that it does what the business intended. Independent validation needs a place in that workflow.
AI Coding’s Real Bottleneck Isn’t Code Review
A growing queue of AI-generated pull requests does not, by itself, tell a team why software is taking too long to reach production. Adding reviewers may clear one handoff without changing who can propose, implement and deliver a feature. The more consequential question is whether the organization has redesigned that path or simply added coding agents to an existing process. Faster work at one stage is useful only if the rest of the delivery system can absorb it.
DHCP Management Best Practices for Secure and Reliable Networks
Sponsored Content DHCP plays an important role in keeping enterprise networks accessible. It assigns IP addresses and delivers configuration details that devices need to communicate. As organizations add users, locations, wireless networks, and cloud workloads, managing these assignments becomes increasingly complex. A DHCP configuration that works for a small office may not be suitable for a distributed enterprise.
Diagrid Updates Dapr Runtime for the Agentic AI Era
Key Takeaways Dapr 1.19 cuts workflow overhead by sending only new events to compatible workers that already have the workflow history cached. This reduces data transfers as long-running AI workflows grow. Two opt-in features target workflow and infrastructure overhead. The WorkflowsFastPath preview reduces reliance on scheduler reminders, while a separate mode lets the Scheduler handle actor placement and removes the need for a standalone Placement service.
Does AI Coding Make Secrets Sprawl Worse in CI/CD Pipelines?
Artificial intelligence (AI)-powered coding assistants help software development teams work faster by generating code, configuring systems and automating repetitive tasks. However, this convenience introduces security risks. AI-generated code may contain hardcoded credentials or insecure authentication methods, potentially exposing sensitive information across development environments.
Vibe-Coded Front Ends Fail in the Browser First
Sponsored Content AI coding assistants now write a large share of front-end code, and much of it reaches production with minimal human review. Most guidance on observing AI-written code focuses on back-end traces and logs. The front end receives less attention, and it is where failures surface first. An AI-written component can receive successful responses from every API it calls and still render a broken page in a specific browser, on a specific device, in a specific region.
Elastic Jenkins: Scaling Workers With Docker Swarm and the Jenkins Swarm Plugin
Key Takeaways Stop registering Jenkins agents one node at a time. Docker Swarm and the Jenkins Swarm Plugin automate worker registration and make adding build capacity a single-command operation. Scaling up is easy. Scaling down can break builds. Reducing worker replicas can terminate running jobs, making controlled scale-down essential to maintaining CI reliability. Automation doesn't eliminate security risks.
Autonomy Without Isolation: How Engineering Leaders Make Collaboration Work
Key Takeaways The new silo doesn't say "not my job." It says "we've got this." Teams can appear accountable and productive while quietly cutting themselves off from the knowledge and dependencies they need. Autonomy without collaboration creates expensive blind spots. Unspoken assumptions, duplicated work and missed dependencies can turn independent decision-making into costly rework. Great leaders don't demand collaboration. They make it easier.
The Hardest Part of a CI/CD Migration Isn’t the Technology
Key Takeaways You can't migrate what you don't understand. Undocumented infrastructure, forgotten configurations and hidden dependencies can derail a CI/CD migration before the first workflow changes. One migration plan won't fit every engineering team. Network restrictions, internal service access and specialized workflows require early discovery, clear ownership and targeted solutions. A new platform isn't the finish line.