How Dependency Mocking Affects CI/CD Pipeline Reliability
Stale dependency mocks can make CI/CD pipelines pass while production integrations fail. Learn how mock drift undermines reliability and how to prevent it.
When the Agent is the Incident
When AI remediation agents make the wrong infrastructure decisions, automated fixes can quickly escalate into major incidents. This seven-step incident response playbook explains how to stop unsafe agent actions, block tool access, preserve forensic evidence and restore services without triggering further damage. A Kubernetes simulation demonstrates why stopping an agent worker alone is not enough.
Coding Agents Moved the Bottleneck From Writing to Reviewing PRs
AI coding agents are generating more pull requests than developers can review. Learn why review bottlenecks create quality debt and how DevOps teams can respond.
Navigating AI Infrastructure Incidents: Bridging the Critical Gap Between Detection and Response
AI systems can appear healthy while response quality, latency and data freshness deteriorate. Advanced observability tools can detect these issues, but identifying a problem is only half the battle. Engineering teams must close the gap between detection and response with persistent alerts, intelligent routing and automated escalation to reduce downtime and restore output integrity.
Beyond SLSA and Sigstore: Securing the Developer Origin in the Age of Agentic Coding
SLSA, Sigstore and SBOMs have strengthened software supply chain security, but attackers are increasingly targeting developer workstations before code reaches the CI/CD pipeline. With autonomous AI coding agents installing dependencies, executing commands and accessing sensitive credentials, endpoint security is becoming a critical cloud-native concern. Securing the software supply chain now requires protection from the developer’s IDE all the way to Kubernetes production workloads.
From Static Scans to Runtime Awareness: The Next Phase of Software Supply Chain Security
A growing wave of software supply chain attacks, including Shai-Hulud, Axios and LiteLLM, is exposing weaknesses in conventional security tooling. Malicious open-source packages can execute harmful code during installation, often before traditional security checks take effect. Despite high confidence in existing defenses, many organizations lack proactive controls such as package cooldown periods, pre-ingestion scanning and continuous threat intelligence evaluation.
The Agent Failure Your Approval Gate Can’t Catch
An agent that does the wrong thing leaves evidence — a bad diff, a malformed record, a customer complaint. An agent that does nothing and reports success leaves a green checkmark, and green is the one signal your incident process is built to trust. Worry more about the second failure, because everything a DevOps team […]
Attaching Evidence to Alerts: an Enrichment Sidecar for Alertmanager
Every on-call engineer knows the ritual. A page lands in Slack: the 5xx rate on a service is above the threshold. The message tells you that something is wrong and nothing about what. So you open Kibana or Loki in another tab, set the time window to the last few minutes, filter by the service, […]
Secrets Sprawl and Rotation: A Practical Vault Management Playbook
In 2025 alone, security firm GitGuardian detected 28.65 million new hardcoded secrets exposed in public GitHub commits — a 34% increase year over year and the largest single-year jump the company has recorded in five years of publishing its annual State of Secrets Sprawl report. Since 2021, that number has grown 152%, far outpacing the […]
AI Is Taking on Entry-Level Engineering Work. Who Trains the Young Engineers?
When I started my career on a support desk, I dealt with failed logins, missing permissions and recurring system errors every day. The work was repetitive, but repetition taught me to spot patterns, test assumptions and look beyond the symptom a user reported. Over time, I was resolving around 90% of incidents at first contact. […]
Federated Query at Petabyte Scale: A Deployment Pattern for a Governed AI-Agent Data Layer
A federated query architecture can reduce data duplication and latency while creating a governed, auditable data layer that enterprise AI agents can safely access.
Security Teams Are Fixing Vulnerabilities Faster Than Ever. So Why Is Software Getting Riskier?
AI is speeding up dependency decisions, making point-of-selection security essential for reducing vulnerable components, downstream tickets and avoidable rework.
Availability Should Follow the Workload, Not the Infrastructure
Platform engineering has automated deployment but not recovery. The next maturity curve is intelligent operations that automate routine production decisions and resilience.
Taste, Discernment, and Judgment Have Become Must-Have Engineering Skills
AI coding agents make code generation cheap, shifting engineering value toward standards, deterministic quality gates, contextual review and human judgment about what should ship.
QA Automation Frameworks for Enterprise Applications
Modern enterprise applications demand testing strategies that can keep pace with continuous delivery, distributed architectures, and increasingly complex deployment pipelines. Traditional manual testing approaches often become a bottleneck as engineering teams scale their applications and release software more frequently. This article explores the essential building blocks of an enterprise-grade QA automation framework, focusing on maintainability, […]
AI Is Breaking Developers’ Traditional Game Testing Playbook
Game testing has always been an unpredictability problem for developers. Players move in the wrong direction, trigger events out of order, or combine mechanics no designer anticipated. Even so, developers could usually define the rules governing the world and check whether the game followed them. AI is making that harder. NPCs now react to changing […]
How to Move AI SRE Agents From Demo to Production
An AI agent that works on an engineer’s laptop can feel like a breakthrough. It can read logs, query observability tools, inspect cloud resources and connect a failed deployment to a bad configuration change in minutes. For a single investigation, under close human supervision, that is real progress. It is also the easy part. The […]
From Software Supply Chains to AI Vulnerabilities: Why Neither Solves Enterprise Linux Security
For nearly a decade, cybersecurity has been dominated by one overarching concern: securing the software supply chain. Organizations invested heavily in Software Bills of Materials (SBOMs), artifact signing, provenance frameworks, reproducible builds, and vulnerability scanners capable of identifying compromised dependencies before software reached production. The software supply chain became the industry’s focal point, accelerated by […]
A Semicolon in a Branch Name Was All It Took to Steal an AI Agent’s GitHub Token
AI coding agents don’t just suggest code anymore. Tools like OpenAI’s Codex spin up a real container, clone a real repository, and authenticate with a real GitHub credential to get the job done — which means every agent your team wires up is also a new privileged identity, holding real access, running with comparatively little […]
Dependency Mocking Approach That Gets More Accurate as Your Services Deploy More Often
Traffic-based dependency mocking turns frequent upstream deployments into opportunities to refresh mocks from real behavior and reduce integration test drift.
Why Old Azure DevOps Releases Survive a Pipeline Cutover
Old Azure DevOps Classic releases can retain retired deployment tasks, Helm names, image paths and variables long after a pipeline cutover, leaving stale redeploy paths active.
DevSecOps Teams as Partners in Secure Software Delivery
DevSecOps teams can reduce last-minute release delays by shifting security decisions earlier, improving guardrails, clarifying ownership and making findings actionable.
Why Plan Review Stopped Working
The control that held your infrastructure together was plan review, meaning a person reading a diff and deciding whether to approve it. Not the policy document and not the pipeline configuration. It worked because change arrived at human speed. That condition no longer holds. An agent opens 40 pull requests before lunch. Reviewers approve them […]