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.
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233 articles · page 4 of 5
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 → DevOps.com, Wednesday, February 18th, 2026
What A 'Good Plan' Really Means For AI Coding Agents
AI coding agents have made it trivial to get from an idea to a working prototype. Generating boilerplate, wiring up services or sketching out a feature is no longer the hard part. The difficulty shows up later, when that code has to survive contact with a real system and real users.
more → DevOps.com, Wednesday, February 18th, 2026
Tool Fragmentation Is Breaking Delivery Context - Here's What Teams Are Learning
In the pursuit of the best-of-breed stack, the modern enterprise has accidentally engineered a crisis of context. We have specialized tools for every micro-segment of the life cycle: One for secrets, another for feature flags, three for observability and a dozen for CI/CD.
more → DevOps.com, Monday, February 16th, 2026
Forget The Vibe-Coders, We Need To Support Responsible AI-Assisted Development
In 2009, Microsoft's launch of Songsmith did not meet expectations. Designed as a tool for anyone to make music, all you had to do was sing a few lines, and the software would provide a beat and melody to go with it.
more → devops.com, Friday, February 13th, 2026
Mainframe Code Modernization Patterns
In today's enterprise digital landscape, mainframe modernization is no longer a back-office technical exercise. It has become a strategic initiative tied directly to innovation velocity, operational resilience, regulatory compliance and long-term competitiveness.
more → devops.com, Friday, February 13th, 2026
SRE vs. DevOps is a False Choice: Here's the Unified Model That Works
The current agile environment puts pressure on teams to go fast and remain reliable. It is a common practice to portray DevOps and site reliability engineering (SRE) as competing strategies for going fast versus remaining reliable. The truth is that DevOps and SRE are two sides of the same coin, and the best experts argue that they are complementary to each other.
more → devops.com, Thursday, February 12th, 2026
Bridging The Dev-Security Gap With Smarter Authorization
Software teams have always lived with a built-in tension - developers push to ship fast, while security teams pump the brakes to assess risk. Now, with AI flooding the enterprise, that friction is spiking. One recent survey found a staggering 322% jump in privilege-escalation risks tied to AI-generated code.
more → devops.com, Thursday, February 12th, 2026
Secure DevOps at Scale: Integrating SRE, DevSecOps and Compliance
Enterprises building SaaS products must find a balance between innovation, security, reliability and compliance. Implementing cloud-native technologies, such as Kubernetes or breaking things down into microservices, can make organizations highly agile and create security risks - issues we've seen time and again when cloud-native environments aren't managed safely.
more → devops.com, Wednesday, February 11th, 2026
CodeHunter API Integrates Deterministic AI Models into DevSecOps Workflows
CodeHunter, a provider of behavioral malware analysis and threat intelligence tools, today announced it is making available an application programming interface (API) to make it simpler to embed the capabilities it provides within a DevSecOps workflow.
more → devops.com, Friday, February 6th, 2026
How AI Is Expanding Who Gets To Build Infrastructure
Pavlo Baron, co-founder and CEO of Platform Engineering Labs, unpacks what's changing in platform engineering as AI reshapes who gets to build, and how infrastructure actually gets managed.
more → devops.com, Friday, February 6th, 2026
Beyond Test Case Generation: How To Create Intelligent Quality Ecosystems
GenAI's first big moment in QA was test case generation. A QA organization could paste a requirement into a prompt and receive a complete suite in seconds. The speed was real, and so was the hangover.
more → devops.com, Wednesday, February 4th, 2026
4 Security Risks Of AI Code Assistants
AI coding assistants can be an efficient way to improve the coding process. They allow developers to automate many repetitive tasks so they can focus on the more grueling, detail-oriented aspects of coding. However, developers must watch out for potential security risks common among AI coding assistants.
more → devops.com, Tuesday, February 3rd, 2026
Why Responsible AI Isn't Optional In DevOps - It Is The Next Frontier Of Ownership
Recently, AI has infiltrated every corner of software delivery. It is writing code, tuning tests, fixing bugs, correlating logs and - most provocatively - making decisions inside CI/CD pipelines that used to be purely human territory.
more → devops.com, Tuesday, February 3rd, 2026
Why Data Contracts Need Apache Kafka And Apache Flink
Imagine it's 3 a.m. and your pager goes off. A downstream service is failing, and after an hour of debugging you trace the issue to a tiny, undocumented schema change made by an upstream team. The fix is simple, but it comes with a high cost in lost sleep and operational downtime.
more → devops.com, Tuesday, February 3rd, 2026
Top 15 DevOps Trends To Watch In 2026
Launched in 2008, the audio streaming platform Spotify has more than 200 million active users worldwide. Initially, Spotify relied on a homegrown container orchestration system called Helios. In 2017, this became a bottleneck, and the IT team implemented Kubernetes, which increased speed while reducing costs.
more → devops.com, Tuesday, February 3rd, 2026
The Problem's Not Your Monitoring Tools, It's Your Workflow
The real cost of poor observability isn't just downtime; it's lost trust, wasted engineering hours, and the strain of constant firefighting. But most teams are still working across fragmented monitoring tools, juggling endless alerts, dashboards, and escalation systems that barely talk to one another, which acts like chaos disguised as control.
more → devops.com, Tuesday, February 3rd, 2026
Bot-Driven Development: Redefining DevOps Workflow
DevOps has a long history of automating handoffs between the developers and ops teams. The future of automation is rapidly evolving to include a bot-enabled development, where intelligent agents don't just get stuck into a task, but drive parts of the software life cycle. This new world is where DevOps merges human brainpower with AI-powered tools.
more → DevOps, Monday, February 2nd, 2026
Please Grow Up, Coder Launches AI Maturity Self-Assessment Tool
AI is growing up fast. This means we now need to both quantify and qualify the depth, breadth and scope of the AI components now being grafted onto (let's be realistic, AI-native hasn't happened yet) existing enterprise software structures and data management estates. Coder thinks it can help.
more → devops.com, Thursday, January 29th, 2026
Opsera Report Highlights DevOps Challenges Created By AI Coding Tools
An analysis published today by Opsera, a provider of a DevOps platform, finds that while adoption of artificial intelligence (AI) coding tools has increased developer productivity they also create more duplicate code, resulting in 15 to 18% more security vulnerabilities per line of code compared to code created by a human developer.
more → devops.com, Tuesday, January 27th, 2026
The Four Knobs Of AI Agent Reliability: A DevOps Perspective
The AI industry has a terminology problem. Everything is an 'agent'. Chatbots, assistants, copilots and automations. The word has been stretched so thin that it means almost nothing.
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