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DevOps.com — Archive

306 articles · page 5 of 7

DevOps.com, Monday, April 27th, 2026

Embracing the MCP Suck: Taming the Wild West of AI Protocols

Vol 337 · Issue 5 · 2026-04-27

The Model Context Protocol (MCP) is moving faster than the developer community can keep up with, racing past its original design parameters and leaving teams scrambling to build clients that can match its pace. The result is an ecosystem where the protocol itself keeps shifting under everyone's feet, and where the tooling, conventions and security thinking that should accompany a foundational standard are still being figured out on the fly.

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Embracing the MCP Suck: Taming the Wild West of AI Protocols

devops.com, Wednesday, April 22nd, 2026

AI Agents In Devops: Hype Vs. Reality In Production Pipelines

Vol 337 · Issue 4 · 2026-04-22

The demos look super cool! An AI agent detects a failing deployment, rolls it back, opens a GitHub issue, and notifies Slack - all before the on-call engineer has finished reading the alert. If you've been following the DevOps tooling space over the last 18 months, you've probably seen some version of this pitch.

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AI Agents In Devops: Hype Vs. Reality In Production Pipelines

devops.com, Friday, April 17th, 2026

The Open Source Trap: Why Trust Isn't a Security Strategy

Vol 337 · Issue 3 · 2026-04-17

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.

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The Open Source Trap: Why Trust Isn't a Security Strategy

devops.com, Thursday, April 16th, 2026

Waydev Adds Ability to Track How Much AI Code Winds Up in Production

Vol 337 · Issue 3 · 2026-04-16

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.

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Waydev Adds Ability to Track How Much AI Code Winds Up in Production

devops.com, Thursday, April 16th, 2026

From Code To Cloud: How Full-Stack Developers Are Taking Over DevOps

Vol 337 · Issue 3 · 2026-04-16

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.

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From Code To Cloud: How Full-Stack Developers Are Taking Over DevOps

devops.com, Tuesday, April 7th, 2026

VibeCode Meets DevOps: Accelerating Low-Code Innovation

Vol 337 · Issue 2 · 2026-04-07

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.

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VibeCode Meets DevOps: Accelerating Low-Code Innovation

devops.com, Tuesday, April 7th, 2026

If It Isn't Code, It's Just Advice

Vol 337 · Issue 2 · 2026-04-07

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.

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If It Isn't Code, It's Just Advice

devops.com, Monday, April 6th, 2026

Is Your AI Agent Secure? The DevOps Case For Adversarial Qa Testing

Vol 337 · Issue 2 · 2026-04-06

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.

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Is Your AI Agent Secure? The DevOps Case For Adversarial Qa Testing

devops.com, Wednesday, March 18th, 2026

Arcjet Extends Runtime Policy Engine To Block Malicious Prompts

Vol 336 · Issue 3 · 2026-03-18

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).

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Arcjet Extends Runtime Policy Engine To Block Malicious Prompts

devops.com, Monday, March 16th, 2026

The Green Side Of Observability: Why Less Data Can Mean More Insight

Vol 336 · Issue 3 · 2026-03-16

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.

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The Green Side Of Observability: Why Less Data Can Mean More Insight

DevOps.com, Friday, March 13th, 2026

Survey: AI Coding Exacerbates Existing DevOps Workflow Issues

Vol 336 · Issue 2 · 2026-03-13

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.

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Survey: AI Coding Exacerbates Existing DevOps Workflow Issues

DevOps.com, Thursday, March 12th, 2026

Sorry, Charlie, StarKist Wants AI With Good Taste

Vol 336 · Issue 2 · 2026-03-12

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.

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Sorry, Charlie, StarKist Wants AI With Good Taste

DevOps.com, Monday, March 9th, 2026

Low-Code's New Frontier: Tailored Solutions For Each Industry

Vol 336 · Issue 2 · 2026-03-09

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.

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Low-Code's New Frontier: Tailored Solutions For Each Industry

DevOps.com, Monday, March 9th, 2026

How We Got Here: Alert Fatigue To Decision Fatigue

Vol 336 · Issue 2 · 2026-03-09

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.

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How We Got Here: Alert Fatigue To Decision Fatigue

devops.com, Wednesday, February 25th, 2026

The AI Productivity Paradox: How Developer Throughput Can Stall

Vol 335 · Issue 4 · 2026-02-25

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.

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The AI Productivity Paradox: How Developer Throughput Can Stall

devops.com, Wednesday, February 25th, 2026

Why OpenTelemetry Is Paving The Way For The Rise Of The Observability Warehouse

Vol 335 · Issue 4 · 2026-02-25

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.

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Why OpenTelemetry Is Paving The Way For The Rise Of The Observability Warehouse