Business of DevOps
The Risk Profile of AI-Driven Development
Ilkka Turunen | | AI-generated code, AIBOM, autonomous development, autonomous security, challenge bottleneck, CI CD gating, cloud-native security, Dependency Management, GRC engineering, hallucinations, IDE controls, license compliance, machine speed enforcement, OpenSSF Gemara, Outdated Dependencies, policy based dependency selection, prompt level governance, review bottleneck, runtime transparency, SBoM, secure by default, shift left security, Software Supply Chain, threat modeling, transitive dependencies, trusted registries, typosquattingAnalysis arguing that AI-driven code generation accelerates dependency decisions and expands supply-chain risk, requiring shift-left governance, prompt-level controls, automated SBOM/AIBOM visibility, threat-modeling as engineering, and autonomous security to match autonomous development ...
How eBPF and OpenTelemetry Have Simplified the Observability Function
Morgan McLean | | auto instrumentation, ebpf, endpoint visibility, Grafana Labs, instrumentation, kernel level, kubernetes, legacy applications, linux, metrics, monitoring, network observability, OBI, observability, observability adoption, observability practice., OpenTelemetry, OpenTelemetry Injector, RED metrics, SDKs, security concerns, Splunk, supply chain, telemetry, third party software, traces, vendor neutral, zero code instrumentationOverview arguing that OpenTelemetry eBPF Instrumentation (OBI) — combined with OpenTelemetry Injector — removes barriers to full observability by enabling zero-code, kernel-level telemetry for Kubernetes and Linux environments, solving language, legacy, and ...
Sorry, Charlie, StarKist Wants AI With Good Taste
Alan Shimel | | Accelerate, accountability, AI alignment, AI Governance, behavioral generalization, blameless postmortems, character in AI, constitutional alignment, Culture Change, devops, emergent misalignment, ethical AI, guardrails, incentive design, incentives, insecure code, interdisciplinary alignment, model disposition, model governance, moral behavior, safety engineering, site reliability engineering, training data culture, training pipelines, trustworthiness, virtuesA surprising AI experiment showed that feeding a model sloppy code didn’t just produce bad programming, it produced bad behavior. The result points to something philosophers and DevOps engineers have long understood: ...
Zero Downtime Multicloud Migrations for Observability Control Planes
Deven Chawla | | control planes, distributed systems, multicloud, observability, platform engineeringMost platform teams aren’t deciding whether they’ll run across multiple clouds. They already are, or they’ll be soon. The real question is how to migrate critical systems without turning on-call into a ...
The Observability Bill is Coming Due – and AI Wrote Most of It
Alan Shimel | | agentic telemetry, AI in development, AIOps, APM (Application Performance Management), CI/CD (Continuous Integration/Continuous Deployment), data management, data quality, devops, instrumentation, Logging Standards, observability, Sawmills, Signal-to-Noise Ratio, software engineering, technology innovation, telemetry management, Telemetry OptimizationObservability has always had a data quality problem. AI coding agents just made it catastrophically worse. Shimmy sits down with the co-founders of Sawmills to dig into why unmanaged telemetry is the ...
Gemini Code Assist Gets Agent Auto-Approve, Inline Diffs, and Custom Commands to Speed Up the Core Coding Loop
Tom Smith | | Agent Mode, AI coding agents, AI-assisted development, Auto Approve, code review, Context Drawer, custom commands, developer productivity, devops, Finish Changes, Gemini Code Assist, Google Gemini, inline diff, IntelliJ, Outlines, software lifecycle, VS CodeGoogle’s latest Gemini Code Assist updates focus on workflow, not hype: Agent Mode with Auto Approve, inline diffs, a Context Drawer, custom commands, Finish Changes, and Outlines streamline how developers review, trust, ...
Microsoft Azure Skills Plugin Gives AI Coding Agents a Playbook for Cloud Deployment
Tom Smith | | agent orchestration, AI coding agents, AI in software delivery, Azure automation, Azure cost optimization, Azure Skills Plugin, Claude Code, cloud deployment, devops, Foundry MCP, GitHub Copilot, guardrails, infrastructure as code, institutional knowledge, MCP Server, Microsoft Azure, platform engineering, VS Code agent pluginsMicrosoft’s new Azure Skills Plugin closes the gap between AI-written code and production deployments by packaging expert Azure knowledge as executable skills, backed by MCP servers for real infrastructure actions and AI ...
Anthropic Code Review Dispatches Agent Teams to Catch the Bugs That Skim Reads Miss
Tom Smith | | AI code review, AI coding agents, Anthropic Code Review, Claude Code, Code Review Automation, developer productivity, devops, Engineering Velocity, GitHub integration, Logical Bug Detection, multi-agent systems, Pull Request Automation, secure software development, software quality, software reliabilityAnthropic Code Review dispatches agent teams to find bugs in PRs. Multi-agent analysis, severity ranking, and inline fixes for Teams and Enterprise ...
VS Code Is Becoming an Agent Control Plane — and Most Teams Haven’t Noticed Yet
Tom Smith | | agent debugging, agent orchestration platform, agent plugins, AI-assisted development, automation, browser tools, chat session forking, context compaction, control plane primitives, developer convenience, devops, Git repositories, governance layer, hooks, MCP servers, microsoft, organizational review workflows, Platform Engineer, plugin marketplace, policy enforcement, pull request reviews, release notes, security hooks, session memory, shared state, UI Testing, version control, versioned agent configuration, VS Code 1.110VS Code 1.110 ships agent plugins, hooks, and persistent memory. Microsoft is embedding control plane primitives into the IDE for AI agent governance ...
GitHub Copilot Coding Agent for Jira Connects Planning to Pull Requests Without Leaving Your Workflow
Tom Smith | | assign issues, coding agent, context switching, developer tools, draft PRs, GitHub Copilot, innovation, integration, JIRA, planning, Productivity, workflowGitHub Copilot, the coding agent, now integrates with Jira. Assign issues to Copilot and get draft PRs — no context switching between planning and code ...
How We Got Here: Alert Fatigue to Decision Fatigue
AI and observability reduced alert fatigue, but decision fatigue remains. Decision architecture helps DevOps teams scale operational judgment ...
On-Call Rotation Best Practices: Reducing Burnout and Improving Response
Neel Shah | | alert fatigue, alert hygiene, automated remediation, burnout prevention, incident management, incident postmortem, mttr, observability, on‑call best practices, on‑call compensation, on‑call metrics, OpsGenie, pagerduty, platform engineering, rotation models, runbook automation, Runbooks, shadow rotation, SREPractical SRE on‑call guide covering rotation models, alert hygiene, runbooks, metrics, compensation, shadowing, and automation to cut pager load and prevent engineer burnout ...
