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.
Observability: The Real Killer App
My friends, I’ve been around long enough in the world of DevOps, cybersecurity and cloud-native to see the “next big thing” fade into “just another dashboard.” But today I’m here to tell you: observability isn’t just another tool—it might very well be the killer app of our era. The Rise of Observability Remember when “monitoring” […]
AlertD Emerges to Apply AI to Observing AWS Environments
AlertD this week emerged from stealth to launch a DevOps platform that leverages generative artificial intelligence (AI) to provide deeper insights into Amazon Web Services (AWS) environments by automatically generating dashboards that make it possible to more easily discover and visualize issues. Fresh off raising $3 million in initial funding, AlertD CEO Geoff Hendrey said […]
The Future of DevSecOps: From Shifting Left to Shifting Smart
For the better part of a decade, a revolutionary idea has reshaped enterprise security: the “shift left” movement. This mantra taught us to view the software development lifecycle (SDLC) not as a finish line for security, but as its starting point. By embedding security checks at the earliest possible stage, we made incredible strides in […]
Splunk Donates OpenTelemetry Injector Library to Open Source Instrumentation Framework
Splunk, an arm of Cisco, has donated an OpenTelemetry Injector library it developed for streamlining instrumentation of applications that have not been containerized, to the open source project that is being advanced under the auspices of the Cloud Native Computing Foundation (CNCF). Greg Leffler, director of developer evangelism for Splunk, said this latest contribution to […]
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.
Tessl Details Plan to Build Platform for Managing AI Agents Embedded in DevOps Workflows
Tessl today outlined a plan to extend a registry it created for specifications that govern the behavior of artificial intelligence (AI) agents being used to build software to create a platform for creating, distributing and observing those specifications. Speaking at a DevCon Fall 2025 conference hosted by the company, Tessl CEO Guy Podjarny said that […]
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.
New Relic Enhances Azure Integration with AI-Powered Observability Tools
New Relic Inc. unveiled a suite of intelligent observability integrations with Microsoft Azure on Tuesday to streamline incident response and boost developer productivity as enterprises rush to adopt artificial intelligence (AI) workflows. The company’s new AI Model Context Protocol (MCP) Server now feeds real-time observability data directly into Azure’s SRE Agent and Microsoft Foundry, eliminating […]
I Saw DevOps’ Future—and Its Name is AI Native Dev
I was down in Brooklyn this week attending AI Native DevCon, and let me tell you—there’s no hidden metaphor or clever subtext in that name. What GuyPo and the gang have built here is exactly what it says on the tin: a community and a movement laser-focused on using AI natively in software development. Not […]
System Initiative Extends Reach of IT Infrastructure Automation Platform
System Initiative today revealed it is now extending the reach of its digital twin platform for automating the management of IT infrastructure to any cloud computing environment, including now out-of-the-box support for Microsoft Azure, Digital Ocean and Hetzner services, along with existing support for Amazon Web Services (AWS). Nick Stinemates, vice president of business development […]
Vibe Coding: The Double-Edged Sword in Modern Software Development
In the fast-paced world of software development, new methodologies and trends emerge constantly. One method gaining traction, particularly among younger developers, is vibe coding. While it promises increased productivity and a more fluid development experience, it also introduces a unique set of cybersecurity risks that both developers and their leadership need to understand. What is […]
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.
AWS Extends Kiro AI Tool to Generate Higher Quality Code
Amazon Web Services (AWS) today with the general availability of its Kiro artificial intelligence (AI) coding tool added additional capabilities, including a version that can now be invoked via a command line interface (CLI). At the same time, Kiro now enables property-based testing (PBT) to measure whether the code generated matches the behavior defined in […]
DevOps for GenAI Toronto Edition Hackathon: Unlocking New AI Market Opportunities
Toronto’s vibrant tech community is abuzz as the DevOps for GenAI Hackathon returns with John Willis, this time with ambitious new themes that reflect both global trends and uniquely Canadian innovation. Building on the foundational insights from the first Hackathon held in Ottawa organizers are expanding the event to spotlight end-to-end lifecycle automation for generative […]
Google Code Wiki Aims to Solve Documentation’s Oldest Problem
Google introduces Code Wiki, an AI-powered platform that automatically generates and maintains documentation for code repositories. With Gemini integration, live diagrams, and interactive code-aware chat, Code Wiki aims to reduce onboarding time, simplify code comprehension, and transform how developers understand complex systems.