DevOps.com, Friday, September 4th, 2026
Your DevOps Pipeline Is Already a Sustainability Program
Right-sizing, pipeline efficiency and progressive rollouts cut carbon as a side effect of good engineering.
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254 articles · page 1 of 6
DevOps.com, Friday, September 4th, 2026
Observability's Gaslighting Problem: 'Send Less Data' Isn't A Strategy
Cutting telemetry to cut cost strips out the exact signals you need for rare failures and AI-written code.
more → DevOps.com, Thursday, September 3rd, 2026
Modern Observability Connects Telemetry Across Systems So Engineers Can Understand Why Failures Occur, Not Just Detect Them
Observability 2.0: Why DevOps Teams Are Moving From Monitoring to Intelligent System Understanding
more → DevOps.com, Thursday, September 3rd, 2026
AI Accelerates Coding But Shifts The Bottleneck To Planning, Governance, Deployment And Operations
From the Horse's Mouth: Anthropic Says AI Has Changed the SDLC
more → DevOps.com, Wednesday, September 2nd, 2026
GitOps In 2026: Why Pull Requests Are Taking Over Cloud Operations
The pull request has become the control point for infrastructure change across Kubernetes and cloud services.
more → DevOps.com, Tuesday, September 1st, 2026
ActiveState Pitches AI-Ready Trusted Catalogs That Vet Open Source Components Before Use, Not After Deployment
Trusted Open Source Catalogs for AI and Developers
more → DevOps.com, Monday, August 31st, 2026
Network Engineering Is Shifting From Manual Configuration To Managing AI Agents As The Primary Operating Model
From Operator to Agent Manager: The Real Shift in Network Engineering
more → DevOps.com, Friday, August 28th, 2026
Cybersecurity Researchers Uncover Flaw in Google AI Coding Tool
Pillar Security exploited a prompt injection in Google's Gemini CLI to gain unauthorized cloud access.
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DevOps.com, Friday, August 28th, 2026
Certificate Renewal Is a Deployment Workflow, Not a Cron Job
Treating TLS certificate renewal as a full deployment workflow, not a scheduled task, prevents silent outages.
more → DevOps.com, Thursday, August 27th, 2026
When AI Coding Agents Become Malware Delivery Systems
Attackers are planting prompt-injection payloads in repos and READMEs to hijack AI coding agents into running malware.
more → DevOps.com, Thursday, August 27th, 2026
Production Validation: The Missing Layer in Enterprise Releases
Enterprise releases need production validation as a business-control layer beyond traditional testing.
more → DevOps.com, Wednesday, August 26th, 2026
Automated Diagnosis Isn't Automated Understanding: What Postmortems Teach Us About Building Trustworthy Incident AI
Alert correlation is not diagnosis; trustworthy incident AI needs causal reasoning and good postmortem data.
more → DevOps.com, Wednesday, August 26th, 2026
AI Can Generate Your Infrastructure. Can Your CI/CD Pipeline Trust It?
AI-generated infrastructure code carries a measurable security gap that CI/CD pipelines must gate for.
more → DevOps.com, Tuesday, August 25th, 2026
The Blind Spot Between Back-End Metrics and User Experience
Backend monitoring alone misses frontend performance problems that damage user experience and revenue.
more → DevOps.com, Tuesday, August 25th, 2026
The AI Agent Race Is On. But Are We Watching the Right Race?
Competing AI coding agents look different depending on which metric you use to measure the market.
more → DevOps.com, Tuesday, August 25th, 2026
Report Shines Spotlight on 91 Vulnerabilities Fixed in Latest Update to Spring Framework
Sonatype found 91 patched Spring Framework vulnerabilities affecting over 209,000 components from Broadcom.
more → DevOps.com, Tuesday, August 25th, 2026
Is Java Enterprise Ready for AI? Absolutely
Java and Jakarta EE already provide the foundations for integrating AI into enterprise applications.
more → DevOps.com, Tuesday, August 25th, 2026
CI/CD for AI-Enabled Applications: Why Traditional Deployment Pipelines Need to Evolve
CI/CD pipelines must treat models, features, and data as first-class versioned production artifacts.
more → DevOps.com, Monday, August 24th, 2026
Why 'Tokenmaxxing' Was Always the Wrong Way for Developers to Measure AI Productivity
Drew Thompson argues measuring AI coding tools by token consumption is as flawed as counting lines of code.
more → DevOps.com, Monday, August 24th, 2026
Scalable Jenkins Management: Empowering Enterprises With Centralized Control for 150+ Instances
A Jenkins fleet control plane cut administrative overhead through centralized automation and observability.
more → DevOps.com, Monday, August 24th, 2026
Preparing Infrastructure for the Next Phase of Agentic AI
Agencies should redesign infrastructure for agentic AI around workflows rather than hardware purchases.
more → DevOps.com, Friday, August 21st, 2026
Production-Grade AI Eval Systems: What I Learned Putting LLMs on Call
Traditional SRE metrics stay green while an AI system fails customers, so evals are needed before release, in CI and on live traffic.
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DevOps.com, Friday, August 21st, 2026
Why Cryptographic Inventory Is the First Step Toward Quantum Readiness
Post-quantum migration starts with discovering where vulnerable cryptography exists, which requires a continuous cryptographic inventory.
more → DevOps.com, Friday, August 21st, 2026
Why API Test Generation Is a Judgment Problem, Not a Code Generation Problem
AI test generators produce too many tests while missing boundary and business-logic cases; separating judgment from mechanics helps.
more → DevOps.com, Friday, August 21st, 2026
Waterfall 2.0: Controlling LLM-Driven Software Development With Stage-Gated Discipline
DevOps.com argues stage-gated waterfall becomes useful again as a lightweight control structure over fast AI-generated work.
more → DevOps.com, Wednesday, August 19th, 2026
What It Really Takes to Run OpenTelemetry
OpenTelemetry delivers vendor-neutral instrumentation but carries significant ongoing operational labor.
more → DevOps.com, Wednesday, August 19th, 2026
Are LLMs Equally Good (or Bad) at Building Secure Software?
A study finds no universal best model for secure code, and higher cost does not mean safer output.
more → DevOps.com, Monday, August 17th, 2026
GitHub Copilot's Latest Update Bets on Model Choice, Not Model Loyalty
GitHub's Copilot update lets developers switch AI models mid-session rather than committing to one.
more → TechTarget, Tuesday, August 19th, 2025
Developer Resistance to AI Isn't Fear - It Is Identity
Developers push back on AI because it redefines the job, not because they fear losing it.
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TechTarget, Tuesday, August 19th, 2025
Reducing MTTR: A Practical Guide to Correlating Incidents With AIOps
When 40 alerts fire for one broken payment service, correlation is the bottleneck, not detection.
more → TechTarget, Tuesday, August 19th, 2025
Developer's Checklist: How to Build an FHE Application
A ten-step guide for developers building fully homomorphic encryption applications that compute on encrypted data.
more → TechTarget, Tuesday, August 19th, 2025
Why CI/CD Security Testing Is Going Autonomous (and Why It Should Stay Local)
Autonomous security testing enables continuous proof-based vulnerability detection while local models protect sensitive data.
more → TechTarget, Tuesday, August 19th, 2025
Survey Surfaces Rising Tide of Production Issues Traced Back to AI Code
80% of executives traced a production incident to AI-generated code in the past year.
more → TechTarget, Tuesday, August 19th, 2025
The Rise of AI-Native DevOps: How AI Is Reshaping Software Delivery in 2026
AI is transforming DevOps by embedding intelligent automation into CI/CD, incident response, and infrastructure management.
more → TechTarget, Tuesday, August 19th, 2025
Why Standardized Developer Environments Still Break DevOps Workflows
Standardized environments alone cannot eliminate inconsistencies across host systems, CI, and external services.
more → DevOps.com, Friday, August 7th, 2026
HackerOne Extends Platform Reach to Remediate Source Code Vulnerabilities
HackerOne launches H1 Remediation to accelerate vulnerability fixing with AI-powered root cause analysis.
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DevOps.com, Friday, July 31st, 2026
Why Log Monitoring Is the Missing Link in Most Incident Response Workflows
Integrating log data into incident response reduces MTTR by providing real-time narrative context alongside metrics and traces.
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DevOps.com, Thursday, July 30th, 2026
Validation Debt That Your Dashboards Are Not Showing
AI coding assistants increase development speed faster than teams can verify code, creating hidden enterprise risk.
more → DevOps.com, Wednesday, July 29th, 2026
AI Code Generation Raises New Quality Risks
AI-driven code generation accelerates productivity but introduces technical debt, security gaps, and quality issues.
more → DevOps.com, Wednesday, July 29th, 2026
The Surprisingly High Cost of 'Free' Search Solutions
Self-managed open-source search platforms hide substantial infrastructure and labor costs that managed alternatives now address.
more → DevOps.com, Wednesday, July 29th, 2026
Why Agentic Coding Needs Governance at Scale
Enterprises must implement centralized governance frameworks to manage AI coding agents at scale safely.
more → DevOps.com, Tuesday, July 28th, 2026
Adoption and Fragmentation of AI in CI/CD-and Operational Readiness
AI adoption in CI/CD pipelines is growing, but most enterprises lack operational readiness and face integration challenges.
more → DevOps.com, Tuesday, July 28th, 2026
DevOps Is Drowning in Updates-and Engineering Is Paying the Price
DevOps teams struggle with information overload; structured weekly reviews help prioritize critical updates from noise.
more → DevOps.com, Monday, July 27th, 2026
Investments in DevOps Tools and Platforms Start to Accelerate in AI Era
Survey shows 54% of organizations use AI across most of the SDLC, but quality concerns and governance gaps persist.
more → DevOps.com, Monday, July 27th, 2026
The Innovation Puzzle 2.0: Connecting Vision and Value
Sustainable enterprise innovation requires architecture, governance, and culture beyond AI adoption.
more → DevOps.com, Friday, July 24th, 2026
These Are 10 CI/CD Pipeline Mistakes That Slow Down Engineering Teams
Common CI/CD pipeline mistakes cause delayed delivery, higher costs and reduced engineering productivity.
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DevOps.com, Friday, July 24th, 2026
From Reactive Monitoring to AI-Driven Operational Intelligence
AWS CloudWatch moves past reactive dashboards with AI-powered anomaly detection and automated incident analysis.
more → DevOps.com, Friday, July 24th, 2026
Black Duck Extends Scope and Reach of Code Scanning Tool
Black Duck enhanced Coverity with AI integrations, security prioritization and new vulnerability detection.
more → DevOps.com, Friday, July 24th, 2026
AI-Assisted Development Under Deadline: What It Takes to Ship Production Code on an Unfamiliar Stack
AI accelerated web feature delivery on an unfamiliar stack in two weeks, but human judgment remained essential.
more → DevOps.com, Friday, July 24th, 2026
AI Agents Are Writing Your Infrastructure Code. Is Anyone Governing It?
AI-generated infrastructure code passes security checks only about 55% of the time, creating governance gaps.
more →