GitHub Tightens Copilot’s Billing and Governance Rules Ahead of a Busy Fall
GitHub Copilot is tightening enterprise controls with upfront seat billing, longer chat retention and a Balanced code review default.
The Missing Runtime for Long-Running AI Agents
Enterprise AI agents need more than stronger models. They need durable execution environments that can coordinate multi-step workflows, survive failures, pause for human review and resume reliably after disconnects or delays. AI Agents Have Moved Beyond Chat Demos AI agents work beautifully in demos. A user asks a question, a large language model generates a […]
AI Can Generate Your Infrastructure. Can Your CI/CD Pipeline Trust It?
AI-generated infrastructure code is exposing a growing security gap, pushing platform teams to add stronger automated gates, provenance tracking and human review before Terraform, Kubernetes and CI/CD changes reach production.
Your AI Coding Budget Is Becoming a Variable Cloud Bill
AI coding assistants are becoming a variable, usage-based engineering cost, forcing platform and DevOps teams to apply FinOps practices to models, credits, utilization and multi-vendor spend.
Scalable Jenkins Management: Empowering Enterprises With Centralized Control for 150+ Instances
A centralized Jenkins control plane can reduce fleet sprawl, automate upgrades and backups, improve observability, and give application teams safe self-service across large multi-cloud CI/CD estates.
What the Microservices Era Can Teach Us About AI
AI agents are not just microservices with LLMs attached. Their long-running, non-deterministic workflows demand durable execution, per-step identity, governance and observability.
GitHub Copilot’s Latest Update Bets on Model Choice, Not Model Loyalty
GitHub’s latest Copilot updates add Kimi K3, MAI-Code-1.1-Flash, Agent Plugins 1.0, model switching, CLI improvements, and local Ollama support.
So Agentic Systems Are Messing Up Your SLO Framework
Traditional SLOs cannot show whether AI agents are behaving correctly. Platform teams need layered metrics for infrastructure, inference and behavioral reliability.
DevOps Is Drowning in Updates—and Engineering Is Paying the Price
DevOps used to be a manageable rhythm: several core tools, a handful of respected blogs, and a few incident write-ups that made everyone slightly uncomfortable in a useful way. Now it feels like a firehose aimed directly at the on-call rotation. DevOps teams now have more information than they can reasonably track. Critical updates are […]
GitHub and PyPI Bet On Time to Slow Down Software Supply Chain Attacks
GitHub and PyPI are using time as a security control, delaying dependency updates and locking older releases against new file uploads.
The Trust Graph: Why Infrastructure Diagrams No Longer Describe Modern Systems
Traditional architecture diagrams miss the identity relationships that now drive breaches and outages. Platform teams need trust graphs that map who and what can act across modern systems.
HashiCorp Introduces tfpolicy, a Native Policy Framework for Terraform
HashiCorp’s new tfpolicy framework brings native policy-as-code governance to Terraform using HCL and lifecycle-aware infrastructure checks.
When AI Agents Get Production Access: The Next Big DevOps Risk
It wasn’t that long ago that AI assistants just watched from the sidelines. They could answer your questions, explain how things worked, sum up logs, and write deployment scripts. Handy, sure, but the real decisions? Still up to the engineers. That’s changing now. AI agents are stepping right into the heartbeat of operations. They can […]
Platform Engineering vs. DevOps: Why This Is the Wrong Question
DevOps has done what it was supposed to do. It broke down the wall between development and operations, it made continuous delivery a normal expectation, it made shared ownership of production a cultural default, and it moved software delivery from a scheduled event to a continuous flow. The results reshaped how modern software gets built. […]
Risk-Based Review for Infrastructure as Code Pull Requests
Not every infrastructure pull request deserves the same review path. A tag change in a development account and a network-policy change in production should not create identical reviewer load. When every change is treated as high risk, reviewers stop trusting the signal. In IaC review, I have seen reviewers spend too much attention on low-risk changes […]
The Death of the Four Golden Signals: Designing Telemetry for Non-Deterministic Infrastructure
In complex software systems, our traditional definition of operational health has always been comfortably binary. For over a decade, site reliability engineering (SRE) teams have relied on the industry-standard ‘Four Golden Signals’ — latency, traffic, errors and saturation — as the ultimate truth of platform stability. If our API-response times are hovering at sub-100 ms, […]
Why Enterprise AI Infrastructure Is Becoming a DevOps Problem
Most enterprise AI projects start with retrieval. You connect Jira, Confluence, SharePoint, and Slack. Maybe a few internal databases nobody has touched in five years. You tune embeddings, optimize chunking, wire up a vector database, and convince yourself you’ve built an AI-powered knowledge system. Then the model server crashes. And suddenly, you discover the uncomfortable […]
The Automation Layer Wants to Own Enterprise AI
Organizations want AI systems capable of prioritizing alerts, routing workflows, coordinating across applications, initiating remediation steps, summarizing operational data and adapting dynamically based on changing context. The system is no longer following a rigid set of instructions. It is participating in operational decision-making. That changes the operational risk profile dramatically. When deterministic automation fails, the blast radius is usually constrained. Probabilistic systems introduce a completely different level of complexity because behavior can evolve dynamically during runtime.
The Five Biggest Mistakes Organizations Make When Implementing SRE
From cargo-culting Google’s playbook to rushing AI-powered observability into production before the fundamentals are in place, here’s where SRE transformations quietly go wrong, and how to course-correct.
Arm Adds Free Toolkit to Analyze AI Agent Performance
Arm this week made available a free toolkit for analyzing agentic artificial intelligence (AI) workloads as they are being developed by DevOps and platform engineering teams. Earlier this year, Arm unveiled a 3nm processor based on its Neoverse V3 architecture that is specifically designed for AI workloads. The Arm Performix toolkit provides system-wide analysis across […]
How to Manage Operations in DevOps Using Modern Technology
How modern DevOps teams manage operations using automation, observability, AIOps and self-service to reduce toil and improve reliability.
Lightrun: IT is in the Dark Over Coding Assistant Runtime Visibility
Software runs, but sometimes it doesn’t… and that’s often down to a lack of runtime visibility in relation to platform engineering teams being able to trust coding assistants and AI-powered site reliability engineering (SRE) services.
Harness Extends CD Platform to Address AI Coding Challenges
Harness expands its CD platform to tackle the “AI code explosion” with automated rollbacks, snowflake support, and warehouse-native feature management.