Business of DevOps
How Observability Improves User Experience and Digital Performance
Neel Shah | | Airbnb observability, application monitoring, Clepher, cloud-native observability, cloud-native platforms, customer retention, DevOps observability, digital experience monitoring, digital performance, digital reliability, grafana, incident detection, microservices observability, MTTR reduction, observability, observability strategy, observability tools, performance optimization, proactive performance, real-time monitoring, shift-left practices, Slack uptime, Spotify performance monitoring, Telemetry data, uptime monitoring, user experience, user satisfactionDiscover how observability transforms user experience by improving performance, reliability, and customer satisfaction. Learn how leading companies like Airbnb, Spotify, and Slack use observability tools such as Grafana and Clepher to boost ...
Claude Introduces Agent Skills for Custom AI Workflows
Tom Smith | | Agent Skills, agentic development, AI agents, AI automation, AI for developers, AI for DevOps teams, AI workflows, Anthropic Agent Skills, Anthropic AI tools, Anthropic Claude, CI/CD pipelines, Claude AI update, Claude API, Claude Code, Claude Code Execution Tool, Claude marketplace, Claude planning, Claude SDK, Claude Skills, Claude web app, DevOps AI, devops automation, infrastructure automation, Intent-Driven Development, reusable AI skillsAnthropic introduces Agent Skills for Claude — a new system that packages instructions, scripts, and resources into reusable folders across Claude’s web app, API, and Claude Code. Skills make AI assistants composable, ...
Visual Studio Copilot Gets Planning Mode for Complex Tasks
Tom Smith | | agentic development, AI coding tools, AI for developers, AI-assisted coding, Claude Sonnet 4, Copilot AI, Copilot Planning, Copilot planning benchmark, Copilot planning feature, Copilot preview, DevOps AI tools, GPT-5 Copilot, Intent-Driven Development, Microsoft Copilot, Microsoft developer tools, planning-driven development, software development automation, SWE-bench results, Visual Studio 2022, Visual Studio CopilotMicrosoft launches the Planning feature for Visual Studio Copilot, now in public preview for Visual Studio 2022 17.14. Planning gives developers a structured way to manage multistep coding tasks, improving transparency, performance, ...
From Cloud to Cognitive Infrastructure: How AI is Redefining the Next Frontier of SRE
Akash Thakur | | AI in DevOps, AI infrastructure, AI reliability, AI workloads, AI-driven SRE, cloud observability, cloud-native infrastructure, devops, GPU clusters, GPU utilization, hybrid AI systems, hybrid cloud, hybrid computing, intelligent operations, multi-cloud operations, site reliability engineering, SRE evolutionAs organizations embrace artificial intelligence (AI) workloads alongside traditional cloud systems, site reliability engineering (SRE) must evolve to manage an entirely new class of infrastructure — intelligent, hybrid and graphics processing unit ...
Rewriting the Rules of Software Quality: Why Agentic QA is the Future CIOs Must Champion
Chirag Gandhi | | adaptive testing, agentic QA, agentic systems in DevOps, AI DevSecOps, AI for CIOs, AI Governance, AI in enterprise software, AI in software testing, AI quality automation, AI software lifecycle, AI software quality, AI-driven QA, AI-enabled QA frameworks, autonomous QA systems, autonomous quality assurance, continuous testing with AI, Enterprise AI, ethical AI testing, generative AI QA, intelligent agents, QA automationDiscover how Agentic QA is transforming enterprise software testing with autonomous AI systems that embed quality into every stage of development ...
Don’t Reinvent the Wheel: A Developer’s Guide to AI Reusability
Daniel Helfand | | agentic AI, ai, AI in software engineering, AI model versioning, AI platform engineering, AI reusability, AI reuse framework, AI workflow management, AI workflow standardization, AI-driven developer productivity, CI/CD AI, devsecops automation, reusable AI workflows, software catalog for AIEvery great innovation brings on new challenges, and AI is no exception. As technology leaders instruct their workforces to default to using AI in their day-to-day tasks and as AI workflows become ...
Harness Adds Vibecoding Tool to Migrate Databases Within DevOps Workflows
Mike Vizard | | AI in DevOps, AI-powered database migration, backward compatibility, CI/CD, compliance automation, database as code, database devops, database modernization, devops automation, Harness, Harness AI platform, Model Context Protocol Server, natural language interface, Oracle to Postgres migration, platform engineering, schema migration, Software Delivery Knowledge Graph, SQL automation, Stephen Atwell, vibecodingHarness adds an AI-powered vibecoding tool to automate database migrations via natural language, integrating seamlessly with its CI/CD DevOps platform ...
OpenTelemetry and AI are Unlocking Logs as the Essential Signal for “Why”
Bahubali Shetti | | agentic AI, AI incident response, AI observability, AI-driven observability, cloud native telemetry, cross-signal correlation, ECS, Elastic Common Schema, KubeCon + CNC NA 2025, LLM log parsing, log analysis, log normalization, MELT stack, OpenTelemetry, OTel logs, OTel semantics, OTLP, root cause analysis, schema standardization, SRE workflows, telemetry pipelinesLogs reveal the “why” behind failures. Learn how OpenTelemetry and AI transform raw log data into structured, actionable insights for modern observability ...
The Agentic AI-Driven Future of Telemetry
Perry Correll | | 10x investigators, agentic telemetry, AI infrastructure, AI observability, AI reasoning, AI scalability, AI-driven operations, AI-first architecture, autonomous agents, context fusion, contextual telemetry, human-in-the-loop, KubeCon + CNC NA 2025, MELT stack, metrics events logs traces, observability platforms, OCSF, OpenTelemetry, schema-agnostic architecture, telemetry normalizationTelemetry is evolving from passive data to AI-grade fuel. Learn how agentic telemetry fuses human and machine context to power self-healing, intelligent systems ...
The Silent Technical Debt: Why Manual Remediation Is Costing You More Than You Think
Bob Shaker | | ActiveState report, continuous remediation, cybersecurity efficiency, Dependency Management, developer productivity, devsecops, engineering performance, innovation tax, intelligent remediation, KubeCon 2025, manual remediation, Mean Time to Remediate, mttr, open source security, remediation debt, security automation, software vulnerabilities, technical debt, transitive dependencies, vulnerability managementManual vulnerability remediation drains time, innovation, and security. Learn how intelligent remediation eliminates hidden technical debt and accelerates DevSecOps ...
Before You Go Agentic: Top Guardrails to Safely Deploy AI Agents in Observability
Pankaj Thakkar | | agentic AI, AI audit trails, AI cost management, AI deployment controls, AI Governance, AI guardrails, AI in DevOps, AI observability safety, AI operations, AI policy validation, AI rate limiting, autonomous agents, data privacy, human-in-the-loop, KubeCon 2025, observability, OpenTelemetry, role-based access control, self-healing infrastructure, zero-trustObservability platforms are evolving from passive monitors to active participants. Agentic AI promises a self-healing infrastructure that detects anomalies and fixes issues before users notice, reducing resolution time from hours to minutes ...
The Breakneck Future of Codegen: Why AI SWE Must Be Matched with AI SRE
Anish Agarwal | | AI automation, AI code generation, AI in DevOps, AI infrastructure, AI observability, AI operations, AI reliability, AI SRE, AI-Driven Development, cloud-native systems, code duplication, distributed inference, GitHub Copilot, incident management, parallel reasoning, resilience engineering, site reliability engineering, software reliability, software vulnerabilities, technical debtAI codegen is transforming software development — but as speed and complexity increase, so does fragility. AI for site reliability will need to keep pace to avoid system breakdown and engineer burnout. ...
