Tag: platform engineering
Risk-Based Review for Infrastructure as Code Pull Requests
Naga Krishna Reddy Muppidi | | automated review systems, blast radius analysis, change approval workflow, change management, CI/CD governance, cloud infrastructure, Cloud Security, deployment risk, deployment safety, devops, devsecops, Engineering Governance, engineering productivity, gitops, IaC review, infrastructure as code, infrastructure auditing, infrastructure automation, infrastructure change tracking, infrastructure compliance, infrastructure controls, infrastructure delivery, Infrastructure Governance, infrastructure observability, infrastructure reliability, infrastructure risk scoring, infrastructure security, operational risk management, platform engineering, platform operations, platform team workflows, policy as code, production changes, production deployments, pull request review, reviewer fatigue, reviewer workflows, risk assessment, risk-based review, security review automationNot 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 ...
The Death of the Four Golden Signals: Designing Telemetry for Non-Deterministic Infrastructure
Jyostna Seelam | | AI architecture, AI compliance, AI Governance, AI guardrails, AI infrastructure, AI monitoring, AI observability, AI operations, AI operations strategy., AI performance metrics, AI platform monitoring, AI reliability, AI resilience, AI safety, AI SLIs, AI SLOs, AI system reliability, AI telemetry, AI trust, Enterprise AI, generative AI monitoring, guardrail intervention rate, hallucination detection, LLM monitoring, LLM observability, modern SRE, non-deterministic systems, Observability Engineering, OpenTelemetry, platform engineering, production AI, RAG observability, RAG systems, semantic drift, site reliability engineering, SRE, time to first token, token throughput, TTFT, vector database monitoringIn 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’ ...
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 ...
The Automation Layer Wants to Own Enterprise AI
Alan Shimel | | AI agents, Automation Layer, Enterprise AI, Infrastructure Governance, Operational Trust, platform engineering, Probabilistic Systems, runtime securityOrganizations 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 ...
The Five Biggest Mistakes Organizations Make When Implementing SRE
Akash Thakur | | AIOps, cultural transformation, error budgets, incident response, observability, platform engineering, site reliability engineering, SLO, SRE, toilFrom 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 ...
How to Manage Operations in DevOps Using Modern Technology
Samuel Ogbonna | | AIOps, infrastructure as code, observability, platform engineering, site reliability engineeringHow 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
Adrian Bridgwater | | AI coding assistants, AI-generated code, AI-Powered Engineering, AI-SRE Tools, Application Performance Management (APM), automated remediation, Autonomous Engineering, developer productivity, Lightrun, Manual Debugging, Memory Usage, Observability Stacks, platform engineering, Production Failures, Real-Time Data, Redeploy Cycles, root cause analysis, Runtime Visibility, Site Reliability Engineering (SRE), software reliability, State of AI-Powered Engineering Report 2026, Static Code Generation, System Behavior, tribal knowledge, Variable States, Verification BottleneckSoftware 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 ...
Harness Extends CD Platform to Address AI Coding Challenges
Mike Vizard | | AI coding tools, AI-Powered Verification, Automated Rollback, continuous delivery, database devops, DevOps Scale, Harness CD, platform engineering, Release Orchestration, Snowflake Support, software engineering productivity, Warehouse-Native Feature ManagementHarness expands its CD platform to tackle the "AI code explosion" with automated rollbacks, snowflake support, and warehouse-native feature management ...
Policy as Code for Cost Control, Not Just Compliance
Mariusz Michalowski | | cloud cost management, FinOps, infrastructure as code, kubernetes, platform engineering, policy as codePolicy as code can do more than enforce compliance. Learn how platform teams use guardrails, tagging and sizing policies to prevent cloud cost waste early ...
Zero Downtime Multicloud Migrations for Observability Control Planes
Deven Chawla | | control planes, distributed systems, multicloud, observability, platform engineeringMost 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 ...
Microsoft Azure Skills Plugin Gives AI Coding Agents a Playbook for Cloud Deployment
Tom Smith | | agent orchestration, AI coding agents, AI in software delivery, Azure automation, Azure cost optimization, Azure Skills Plugin, Claude Code, cloud deployment, devops, Foundry MCP, GitHub Copilot, guardrails, infrastructure as code, institutional knowledge, MCP Server, Microsoft Azure, platform engineering, VS Code agent pluginsMicrosoft’s new Azure Skills Plugin closes the gap between AI-written code and production deployments by packaging expert Azure knowledge as executable skills, backed by MCP servers for real infrastructure actions and AI ...
