Five Great DevOps Job Opportunities
Post-holiday job search? Check out our weekly jobs report for inspiration, including roles at Alta IT Services and Belay Technologies.
Why Up to 70% of SRE Initiatives Stall Before They Scale — and How to Break the Plateau
Many SRE initiatives stall because organizations adopt the title without the principles. True SRE success requires leadership vision, cultural change, shared KPIs and continuous maturity measurement—not tools alone.
From What Now to What’s Next: How AI Is Closing the Gap Between Detection and Resolution
Modern DevOps teams face outages driven by complex dependencies and AI-enabled systems; success now depends on moving from reactive monitoring to prescriptive, AI-assisted incident resolution that shortens MTTI and MTTR.
Patch or Perish: The Brutal Truth About Vulnerability Management in 2025
Vulnerability management in 2025 is overwhelmed by escalating CVEs and costly breaches; organizations must shift from slow, manual patching to continuous, risk-based, AI-powered remediation to stay secure.
What I’m Thankful for in DevOps This Year: Living Through Interesting Times
Alan reflects on a chaotic yet inspiring year in DevOps, highlighting the rise of AI in engineering, the maturation of DevSecOps, the evolution of hybrid work culture, the surge of platform engineering and IDPs, and the continued strength and inclusivity of the DevOps community — while acknowledging the talent crunch, tool sprawl and security theater that still challenge the industry.
Endor Labs Adds AI SAST Tool to Discover Vulnerabilities in Code
Endor Labs launches an agentic AI-powered SAST tool that drastically reduces false positives, identifies deeper code flaws and helps DevSecOps teams secure AI-generated code across 40+ languages.
How to Build Engineering Teams That Drive Outcomes, not Outputs
Outcome-based engineering teams focus on delivering real customer and business impact, aligning goals, adapting quickly, and collaborating across roles to drive results.
Modular & Shift-Left Observability for Modern DevOps Pipelines
Shift-left observability makes monitoring a modular, built-in part of DevOps—improving reliability, cost efficiency, and visibility across modern cloud-native systems.
The Hidden Cost of “Free” Open Source Infrastructure
When the OpenSSF, PyPI, Rust Foundation, and OpenJS recently declared that “Open Infrastructure Is Not Free,” they highlighted a crisis that affects every organization building modern software. Behind every container image pulled, every vulnerability scan and every automated deployment, there’s a vast web of infrastructure: Package registries, CI/CD services, artifact repositories, security feeds, distribution networks and CDN layers. For decades, this […]
Five Great DevOps Job Opportunities
This Thanksgiving week, we share a fresh DevOps jobs report: Top roles and opportunities for professionals looking to level up their careers.
Bindplane Adds AI Ability to Automate Configuring OpenTelemetry Pipelines
Bindplane is adding AI-powered Pipeline Intelligence to automate log parsing and optimize OpenTelemetry pipelines as telemetry volumes surge across modern DevOps environments.
Scaling AI the Right Way: Platform Patterns for Performance and Reliability
AI performance breaks long before the model runs. Learn how ingestion speed, elastic training, low-latency inference, observability and automation create reliable, scalable AI systems.
Why AI Integration in DevOps is so Important
AI is transforming DevOps security with real-time threat detection, automated scanning and predictive analytics. Learn how AI strengthens CI/CD pipelines and protects modern software delivery.
Three Strategies for Winning the AI Race With DevOps
AI is transforming DevOps. Learn how faster model training, optimized pipelines and smarter GPU infrastructure help teams deliver reliable, scalable AI workflows.
AI Agent Performance Testing in the DevOps Pipeline: Orchestrating Load, Latency and Token Level Monitoring
Traditional testing misses token and context failures. Discover how to measure, test and scale AI agents reliably in production.
MCP — A Protocol for SREs
The Model Context Protocol (MCP) standardizes how AI agents access tools, APIs and data. Learn how SREs can leverage MCP to build smarter, automated workflows.
Beyond the Cloud: A DevOps Blueprint for High-Performance Bare Metal Infrastructure
Bare metal servers deliver predictable, high-performance compute, storage, and networking—ideal for databases, CI/CD runners, and Kubernetes workloads.
Terraform Users: Day 2 Operations Aren’t Failing Over Tools, Because Day 1 Never Happened
Your disaster recovery plan just failed — not because your DR strategy was wrong — but because you had no idea what you were actually running in production. Every Day 2 tools you’ve bought (think: FinOps, drift detection, policy enforcement and security scanning) are optimizing, governing and securing infrastructure based on incomplete data. They’re making decisions about maybe 40% of your actual cloud […]
SRE in the Age of AI: What Reliability Looks Like When Systems Learn
As AI and ML become core production components, SRE is evolving from managing deterministic systems to ensuring the reliability of dynamic, learning systems. New metrics, workflows, guardrails and cross-disciplinary practices are redefining reliability in the age of adaptive software.
MyDecisive Open Sources Platform for Processing OpenTelemetry Data
By open-sourcing its Smart Telemetry Hub, MyDecisive pushes for an evolution of OpenTelemetry—adding local, memory-based filtering to shrink telemetry volume and help DevOps teams lower observability costs and improve MTTR.
The Deterministic Future of AI-Generated Code
AI has eliminated the bottleneck of writing code—but introduced massive uncertainty in verifying it. This piece explores why deterministic guardrails, smarter linters, and eBPF-driven observability are becoming essential to code review and CI in the AI era.
Observability is the Next Frontier of DevOps and Cloud Security
In today’s cloud-native, hybrid-multi-cloud world, DevOps teams face a new paradox. They can deploy code faster than ever, but their visibility often lags. Traditional monitoring tools might reveal that something broke, but not why it happened, when it started, or how it affects the business. For organizations that value resilience, agility, and trust, observability can […]
The MLSecOps Era: Why DevOps Teams Must Care about Prompt Security
AI-driven software delivery introduces new risks, especially prompt manipulation within CI/CD workflows. This article details the emerging fields of PromptOps and MLSecOps and offers practical strategies for securing prompts, models, and pipelines.