devops.com, Monday, April 20th, 2026
Can Claude Agents Replace DevOps Teams? A Practical Reality Check
Claude agents can automate repetitive DevOps tasks but cannot replace human judgment in complex production decisions.
more →
Back Issues This Week → Popular →
All issues › Archive
DevOps.com — Archive
202 articles · page 3 of 5
devops.com, Friday, April 17th, 2026
The Open Source Trap: Why Trust Isn't a Security Strategy
The XZ Utils backdoor was a wake-up call, but the underlying problem it exposed has not gone away. Sophisticated adversaries are playing the long game, spending months or years earning trust within open source projects before introducing malicious code into libraries that sit at the foundation of modern software infrastructure.
more → devops.com, Thursday, April 16th, 2026
Waydev Adds Ability to Track How Much AI Code Winds Up in Production
Waydev today revealed it has revamped its engineering intelligence platform to provide insights into how the adoption of artificial intelligence (AI) coding tools is impacting DevOps workflows. Company CEO Alex Circei said the overall goal is to make it easier for the leaders of software engineering teams to determine the return on investment (ROI) their AI coding tools are actually providing.
more → devops.com, Thursday, April 16th, 2026
From Code To Cloud: How Full-Stack Developers Are Taking Over DevOps
There was once a trend toward becoming a full-stack software engineer. Today, full-stack engineers are not limited to UI (User Interface) and DB (Backend Databases), they are adapting to cloud-native applications, managing Infrastructure as Code (IaC), automating CI/CD pipelines and using tools like GitHub Actions, Docker, and Terraform.
more → devops.com, Tuesday, April 14th, 2026
Claude Code Can Now Run Your Desktop
For most of its short life, Claude has lived inside a chat window. You type, it responds. That model is changing fast.
more → devops.com, Wednesday, April 8th, 2026
Google's Next Coding Agent Could Change How Developers Think About Their Work
Jules was just the beginning. Google's internally referenced 'Jitro' project signals a bigger shift - from task execution to outcome-driven development.
more → devops.com, Tuesday, April 7th, 2026
Why Most DevSecOps Pipelines Fail At Runtime Security (Not Build Time)
Various security issues do not appear during builds or staging tests. They emerge after deployment, when production traffic begins exercising real permissions, integrations and system states.
more → devops.com, Tuesday, April 7th, 2026
VibeCode Meets DevOps: Accelerating Low-Code Innovation
AI-assisted low-code platforms like VibeCode are generating a lot of excitement. They let users describe applications in natural language and produce working code quickly. This speed is impressive, but it raises questions for DevOps teams responsible for stability, security, and reliability.
more → devops.com, Tuesday, April 7th, 2026
Survey Surfaces Rising Tide Of Investments In Observability
A survey of 628 enterprise IT leaders conducted by the Futurum Group finds well over a third (36%) plan on spending more than $1 million on observability in 2026, with 7% planning to spend in excess of $5 million.
more → devops.com, Tuesday, April 7th, 2026
If It Isn't Code, It's Just Advice
When you ask an AI coding agent how to solve a problem, it reaches for code. That's not just a preference - code is how software teams actually ship and we have an ecosystem of essential tools and management systems: Version control, reviews, tests in CI, deploys and rollbacks.
more → devops.com, Tuesday, April 7th, 2026
Apica Extends Scope And Reach Of Platform For Managing Telemetry Data
Apica today updated its Ascent platform to add support for synthetic data that is increasingly being used by artificial intelligence (AI) agents to observe application environments.
more → devops.com, Monday, April 6th, 2026
Is Your AI Agent Secure? The DevOps Case For Adversarial Qa Testing
The most dangerous assumption in quality engineering right now is that you can validate an autonomous testing agent the same way you validated a deterministic application. For the last decade, we wrote tests that expected input A to always produce output B, and we built entire CI/CD pipelines around that binary logic.
more → devops.com, Thursday, April 2nd, 2026
Survey Surfaces Increased Reliance On Open Source Software To Build Apps
A survey of 712 IT professionals finds that programming languages and frameworks (49%), followed closely by ​databases and data technologies (46%), DevOps/GitOps/DevSecOps tooling (39%) and cloud and container technologies (38%) are the areas where open source software is most widely adopted.
more → devops.com, Thursday, April 2nd, 2026
How AI is Shaping Modern DevOps and DevSecOps
AI is no longer a side experiment in software delivery. Gartner estimates that by 2028, three-quarters of enterprise software engineers will use AI code assistants, up from less than 10% in early 2023.
more → devops.com, Thursday, April 2nd, 2026
Giving AI Agents The Keys To Real Infrastructure
AI coding assistants can generate pull requests faster than most teams can review them, and that mismatch is creating a new kind of bottleneck across engineering organizations.
more → devops.com, Monday, March 30th, 2026
When Customer-Facing Systems Fail: How Incident Response And Observability Reduce MTTR
People are used to digital services operating immediately, across various places, devices and systems. Should something break down, it is usually obvious to those operating the system. The crucial element is how fast companies can recover, and the key metric for digital stability is called mean time to recovery (MTTR).
more → devops.com, Monday, March 30th, 2026
Iceberg Won The Format War - Now Comes The Hard Part
Apache Iceberg has effectively won the open table format conversation. AWS, Google Cloud, Microsoft, Snowflake, Databricks - every major platform has thrown its weight behind it.
more → devops.com, Wednesday, March 25th, 2026
Why Investing in DevOps Platforms Pays off for Businesses
Exponential growth in the adoption of digital businesses has compelled company leaders to look for new ways of developing and operating software.
more → devops.com, Wednesday, March 25th, 2026
Future Proofing the Foundation for AI-Ready Security Operations
Future Proofing the Foundation for AI-Ready Security Operations
more → devops.com, Wednesday, March 25th, 2026
Embedded DevOps: Bridging the Gap Between Firmware and Modern Delivery
Embedded software development has traditionally followed a different rhythm than mainstream software engineering.
more → devops.com, Wednesday, March 25th, 2026
Are AI Agents the Future of DevOps Automation?
DevOps has changed fast in the last decade. Scripts became pipelines. Pipelines became platforms. Now, AI agents in DevOps automation are leading the next wave.
more → devops.com, Tuesday, March 24th, 2026
AI Didn't Break Your DevOps Pipeline, Your Process was Already Rotten
AI didn't sneak into your stack and quietly sabotage a once-pristine DevOps pipeline. That story is comforting, but it's fiction. What's really happening is far less dramatic and a lot more uncomfortable.
more → devops.com, Wednesday, March 18th, 2026
Policy As Code For Cost Control, Not Just Compliance
Policy as code is usually framed as a compliance tool. It blocks insecure configurations, enforces internal standards, and helps teams prove they meet audit or regulatory requirements. That framing is accurate, but incomplete.
more → devops.com, Wednesday, March 18th, 2026
Arcjet Extends Runtime Policy Engine To Block Malicious Prompts
Arcjet today added an ability to detect and block risky prompts before they are shared with a large language model (LLM) embedded within an application. The Arcjet AI prompt injection protection capability is based on an LLM that the company has been specifically training to detect patterns indicative of risky prompts that can then be blocked using a runtime policy engine built using WebAssembly (Wasm).
more → devops.com, Monday, March 16th, 2026
The Green Side Of Observability: Why Less Data Can Mean More Insight
When we think about sustainability in software, the conversation often revolves around efficient algorithms, optimized cloud usage, or energy-conscious infrastructure. Rarely do we consider observability, the practice that allows us to understand systems, maintain reliability, and troubleshoot issues, as part of the equation. Yet every metric collected, every log retained, and every dashboard query consumes energy. At scale, this translates into a measurable carbon footprint.
more → DevOps.com, Friday, March 13th, 2026
The Risk Profile Of AI-Driven Development
In the cloud-native ecosystem, velocity is everything. We built Kubernetes, microservices, and CI/CD pipelines to ship faster and more reliably.
more → DevOps.com, Friday, March 13th, 2026
Survey: AI Coding Exacerbates Existing DevOps Workflow Issues
A global survey of 700 software engineering practices published this week finds that thanks to increased reliance on artificial intelligence (AI) coding tools, well over a third (35%) are either achieving daily or more frequent product deployments, with 36% deploying software multiple times per week. However, more than half (51%) also noted AI-generated code leads to deployment problems at least half the time.
more → DevOps.com, Thursday, March 12th, 2026
Zero Downtime Multicloud Migrations For Observability Control Planes
Most 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 guessing game.
more → DevOps.com, Thursday, March 12th, 2026
Sorry, Charlie, StarKist Wants AI With Good Taste
If you are of a certain age, you remember the old StarKist commercials. Charlie the Tuna would swim up proudly announcing that he had 'good taste.' The StarKist fisherman would shake his head and deliver the punchline: Sorry, Charlie, StarKist wants tuna that tastes good. Meaning they didn't want tunas with good taste, only ones that tasted good.
more → DevOps.com, Thursday, March 12th, 2026
AI Is Forcing DevOps Teams To Rethink Observability Data Management
As AI coding tools accelerate software delivery, they are also intensifying a problem DevOps and SRE teams have been dealing with for years: the unchecked growth of observability data.
more → DevOps.com, Tuesday, March 10th, 2026
Report: Lower Performing Software Engineering Teams Benefit More From AI
An analysis of 2,000 organizations worldwide finds that historically lower performing software engineering teams are seeing nearly a 50% improvement in lead time to delivery, a four times greater rate of improvement over higher performing teams that have adopted AI coding tools.
more → DevOps.com, Monday, March 9th, 2026
Low-Code's New Frontier: Tailored Solutions For Each Industry
For years, most low-code platforms have focused on one primary challenge: efficiency. The goal was to help teams build applications faster and with less effort, reducing manual coding, speeding up iterations, empowering non-developers, and enabling apps to be created in just a few clicks. That focus delivered real value, but it's no longer enough.
more → DevOps.com, Monday, March 9th, 2026
How We Got Here: Alert Fatigue To Decision Fatigue
Operations teams have been battling alert fatigue for a very long time now. We saw monitoring systems multiply while cloud-native architectures increased system complexity. Every new microservice, dependency, and API introduced another stream of signals for folks to contend with.
more → DevOps.com, Friday, March 6th, 2026
Why AI-Generated Code Is Raising The Stakes For Secrets Management
Following a $50 million funding round, GitGuardian CEO Eric Fourrier discusses why secrets security is becoming a much bigger problem in the age of AI-generated code and autonomous agents.
more → DevOps.com, Thursday, March 5th, 2026
Survey Sees DevOps Workflows Evolving In The Age Of AI
A global survey of 820 IT decision makers and DevOps practitioners finds that half of respondents (53%) report that developers in the age of artificial intelligence (AI) are now authoring more tests directly.
more → DevOps.com, Tuesday, March 3rd, 2026
Context Engineering Is The Key To Unlocking AI Agents In DevOps
The transition from experimental AI prototypes to production-grade DevOps agents hinges on one critical discipline that most teams overlook: context engineering.
more → devops.com, Friday, February 27th, 2026
AI-Fueled Development Pushes Open-Source Risk To Extremes: Report
Artificial intelligence has shortened the timeline for software development from months to days. But according to new research, that acceleration is creating significant risks for security and compliance issues.
more → devops.com, Friday, February 27th, 2026
Harness Readies Resilience Testing Platform To Make Applications More Robust
Harness today revealed that it will make available a set of open source tools for testing the resiliency of applications that are based on a chaos engineering platform the company gained with the acquisition of LitmusChaos.
more → devops.com, Thursday, February 26th, 2026
How OPA Changed Our Go-No-Go Forever
Open Policy Agent (OPA) is a policy engine that streamlines policy management across your stack for improved development, security and audit capability.
more → devops.com, Thursday, February 26th, 2026
The Future Of AI In Software Quality: How Autonomous Platforms Are Transforming Devops
Continuous integration and continuous development (CI/CD) pipelines have transformed the practice of delivering software, resulting in higher quality and faster results. This is the way in which the infrastructure that supports CI/CD enables teams to shift left many test and verification tasks.
more → devops.com, Thursday, February 26th, 2026
The Great Infrastructure Migration: Why Teams Are Moving From Manual Provisioning To Autonomous Platforms
Researchers from Georgia Tech have found that the supply chain for threat intelligence data is susceptible to adversarial action, and proposed a method to improve data sharing that they think will make it stronger.
more → devops.com, Wednesday, February 25th, 2026
A Blog Post About Cobol Just Cost IBM $30 Billion. Here's What Actually Happened.
On Monday, Anthropic published a blog post about using Claude Code to modernize COBOL. IBM's stock dropped 13% - its worst single-day loss since October 2000. Bloomberg reported the decline put IBM on track for a 27% drop in February, its worst monthly slide since at least 1968.
more → devops.com, Wednesday, February 25th, 2026
The AI Productivity Paradox: How Developer Throughput Can Stall
Software engineering leaders have invested heavily in generative AI coding assistants for over two years-and for good reason. For many teams, the productivity gains appear significant. I hear the same story in conversations with leadership at dozens of enterprises: thanks to AI, developers complete tasks faster, write more code, and spend less time on boilerplate activities.
more → devops.com, Wednesday, February 25th, 2026
Why OpenTelemetry Is Paving The Way For The Rise Of The Observability Warehouse
Why OpenTelemetry Is Paving the Way for the Rise of the Observability Warehouse Why OpenTelemetry Is Paving the Way for the Rise of the Observability Warehouse By: Mike Vizard on February 25, 2026 Please accept cookies to access this content Eric Tschetter, chief architect at Imply and creator of Apache Druid, explains how the rapid adoption of open source OpenTelemetry for instrumenting applications is reshaping modern observability architectures.
more → devops.com, Tuesday, February 24th, 2026
GitOps Implementation At Enterprise Scale - Moving Beyond Traditional CI/CD
Most engineering organizations running traditional CI/CD pipelines eventually hit the ceiling. Deployments work until they don't, and when they break, the fixes are manual, inconsistent and hard to trace.
more → devops.com, Monday, February 23rd, 2026
Claude Code Security Finds The Bugs That Static Analysis Can't - And Wall Street Noticed
Anthropic announced Claude Code Security on February 20, and two things happened immediately. Security teams started applying for access. And cybersecurity stocks dropped off a cliff.
more → DevOps.com, Friday, February 20th, 2026
When DevOps Meets The Cloud: A Real-World Transformation Story
DevOps and cloud adoption are often described as guaranteed upgrades for modern software teams. In practice, the transition is rarely smooth or predictable. It involves rethinking habits that have existed for years, questioning assumptions, and learning through a mix of progress and setbacks.
more → DevOps.com, Friday, February 20th, 2026
What To Do About AI's Forced Rethink Of Reliability In Modern DevOps
For years, reliability discussions have focused on uptime and whether a service met its internal SLO. However, as systems become more distributed, reliant on complex internet stacks, and integrated with AI, this binary perspective is no longer sufficient. Reliability now encompasses digital experience, speed, and business impact.
more → DevOps.com, Friday, February 20th, 2026
Survey: Adoption Of AI Software Testing Slowed By Trust Issues
A new global survey from Leapwork underscores a growing tension in software development: while AI is widely viewed as essential to the future of testing, many teams remain hesitant to rely on it for mission-critical workflows.
more → DevOps.com, Thursday, February 19th, 2026
Test Automation Strategy For Growing Software Teams
As software teams grow, so do the challenges of maintaining product quality, release velocity, and engineering efficiency. Manual testing alone becomes difficult to scale, leading to delayed releases, inconsistent test coverage, and higher defect leakage.
more →