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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 ...
Terraform Users: Day 2 Operations Aren’t Failing Over Tools, Because Day 1 Never Happened
Eran Bibi | | cloud drift detection, Cloud Governance, cloud security posture, cloud system of record, Day 1 cloud visibility, day 2 operations, FinOps failure, IaC adoption, IaC coverage, infrastructure discovery, production visibility, shadow IT cloud, Terraform drift, unmanaged resourcesYour 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, ...
SRE in the Age of AI: What Reliability Looks Like When Systems Learn
Muhammad Yawar Malik | | adaptive systems, AI observability, AI reliability, concept drift, data pipeline reliability, feedback loops, incident response, learning systems, ML operations, MLOps, model drift, model performance monitoring, reliability engineering, site reliability engineering in AI, SREAs 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 ...
New Relic Enhances Azure Integration with AI-Powered Observability Tools
Jon Swartz | | agentic telemetry, AI agents, AI observability, azure, gartner, github, MCP, Microsoft Fabric, Microsoft Foundry, Microsoft Visual Studio, New Relic, SAPNew 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 ...
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 ...
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 ...
Vibe Coding: The Double-Edged Sword in Modern Software Development
Doug Ennis | | CI/CD, developer productivity, devsecops, technology trends, vibe coding, vibe coding risksIn 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 ...
MyDecisive Open Sources Platform for Processing OpenTelemetry Data
Mike Vizard | | CNCF, DevOps observability costs, golden signals, Kubernetes telemetry, memory-based filtering, MTTR reduction, observability, open-source observability, OpenTelemetry, OTel collectors, proactive monitoring., telemetry filtering, telemetry overloadBy 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
Yechezkel Rabinovich | | AI code generation, AI code review, AI development workflows, automated pull requests, behavioral verification, CI pipeline, code validation, deterministic guardrails, DevOps AI, ebpf, generated code risks, observability, smarter linters, software reliabilityAI 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 ...
Observability is the Next Frontier of DevOps and Cloud Security
Joe Selvam | | adaptive baselines, API tracing, business impact monitoring, Cloud Security, cloud-native, configuration drift, DevOps visibility, devsecops, hybrid cloud resilience, mttr, observability, proactive observability, SRE, unified dashboards, unified telemetryIn 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 ...
The MLSecOps Era: Why DevOps Teams Must Care about Prompt Security
Alex Vakulov | | AI attack surface, AI chaos testing, AI Governance, AI supply chain risk, autonomous agent security., CI/CD pipeline security, CodeShield, DevOps AI, ISO 42001, LlamaFirewall, LLM security, MLSecOps, model drift, NIST AI RMF, prompt injection, prompt validation, PromptGuard, PromptOps, RBAC for AI, red team AI, runtime monitoring, secure AI pipelinesAI-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 ...
