Tag: platform engineering
DevOps Dozen 2026 Nominations Are Open: Recognizing the People and Technology Moving DevOps Forward
Alan Shimel | | agentic AI, AgentOps, AI software development, CI/CD, developer productivity, DevOps 2026, DevOps awards, devops dozen, DevOps Dozen Awards, devsecops, FinOps, internal developer platforms, LLMOps, MLOps, observability, open source, platform engineering, software delivery, Software Supply Chain SecurityWhen we launched the DevOps Dozen in 2015, we wanted to recognize the people, projects and companies helping this community move forward. We saw the work happening across DevOps every day at ...
Introducing Futurum Media: Why Futurum, Why Now?
Alan Shimel | | ai, analyst research, cloud-native, devops, devops.com, enterprise technology, Futurum Group, Futurum Media, go to market, market intelligence, platform engineering, Tech Field Day, technology media, technology research, TechStrong, Visible ImpactTechstrong, Tech Field Day and Visible Impact come together, backed by the research, intelligence and expertise of The Futurum Group ...
Git 2.56 Takes Aim at Messy Merges, Slow Diffs and Branch Sprawl
Tom Smith | | AI coding agents, CI/CD, coding agents, developer tools, devops, GIT, Git 2.56, Git performance, Git repositories, merge conflicts, monorepos, platform engineering, software development, source control, version controlGit 2.56 improves merge safety, speeds up large-repository operations and adds cleanup tools that could prove especially useful for AI coding agents and busy DevOps teams ...
env zero Previews Control Plane for Agentic DevOps Workflows
Mike Vizard | | agentic AI, AI agents, AI Governance, autonomous remediation, cloud infrastructure, CloudQuery, CMDB, devops, devops automation, env zero, EZ Control, IaC, infrastructure as code, infrastructure drift, kubernetes, MCP, platform engineeringenv zero’s EZ Control introduces an agentic DevOps control plane that detects infrastructure drift, applies policy-driven remediation and keeps automated changes attributable, reversible and auditable ...
What I Learned Building Cloud-Portable Services Across Multiple Providers
Sandeep Pal | | Alibaba Cloud, AWS, cloud abstraction, Cloud APIs, cloud architecture, cloud infrastructure, cloud portability, cloud SDKs, cloud-native development, conformance testing, developer experience, devops, Google Cloud, IDP, internal developer platforms, kubernetes, Multi-cloud, platform engineering, vendor lock-in, WireMockMulti-cloud strategies often stumble over provider-specific behavior. A layered abstraction built on official SDKs can normalize differences while preserving access to valuable native capabilities ...
The Observability Tax: When Monitoring Costs Exceed Downtime Costs
Muhammad Yawar Malik | | cloud costs, data retention, devops, Distributed Tracing, FinOps, incident response, infrastructure monitoring, logs, metrics, observability, observability costs, observability strategy, OpenTelemetry, platform engineering, SRE, telemetry, telemetry costs, tracesObservability costs can spiral when teams collect more telemetry than they actually use. A more mature approach prioritizes the data that directly improves incident detection, diagnosis and recovery ...
Claude Code Adds AGENTS.md Fallback, Cutting Instruction File Sprawl
Tom Smith | | agentic AI, Agentic AI Foundation, AGENTS.md, AI coding agents, AI Development, AI Governance, Anthropic, Claude, Claude Code, coding agents, Cursor, developer tools, devops, Linux Foundation, OpenAI Codex, platform engineeringClaude Code now supports AGENTS.md, giving development teams a shared instruction format across multiple AI coding agents and reducing configuration drift ...
Anthropic Adds a Coordinator to Claude Projects for Running AI Work in Parallel
Tom Smith | | agentic AI, AI agents, AI coding agents, AI Development, AI project management, AI workflows, Anthropic, autonomous coding, Claude Code, Claude Projects, cloud development, code review, coding automation, developer productivity, developer tools, devops, Git branches, human-in-the-loop, multi-agent orchestration, parallel development, platform engineering, pull requests, software development, software engineeringAnthropic’s redesigned Claude Projects coordinates parallel Claude Code sessions, delegates work across branches and brings the results back through familiar pull-request review workflows ...
GitHub’s August Outages Show Growth Is Outpacing Infrastructure
Tom Smith | | AI coding agents, capacity planning, CI/CD, cloud infrastructure, developer infrastructure, developer productivity, devops, distributed systems, github, GitHub Actions, GitHub Copilot, GitHub outages, incident response, platform engineering, platform reliability, production resilience, retry storms, service availability, software delivery, Software Supply ChainGitHub's August 2026 report details five outages tied to Actions and Copilot growth outpacing infrastructure. Here's what platform teams should know ...
GitHub Puts Guardrails on Copilot’s Sandbox Inside JetBrains IDEs
Tom Smith | | AI agents, AI coding agents, AI Governance, Copilot sandbox, Developer Security, developer tools, Enterprise AI, filesystem controls, GitHub Copilot, GitHub Copilot JetBrains, IDE security, JetBrains, managed policies, MCP governance, network controls, OpenTelemetry, platform engineering, sandbox security, software developmentJetBrains IDEs are where a lot of enterprise backend work happens — Java, Kotlin, Spring, big monorepos with a lot to break. So when an AI coding agent starts running shell commands ...
Rust’s First Debugging Survey Shows Most Developers Skip the Debugger Entirely
Tom Smith | | async Rust, dbg macro, developer experience, developer tools, GDB, LLDB, platform engineering, print debugging, runtime debugging, Rust compiler, Rust debugger, Rust debugging, Rust developers, Rust tooling, software debugging, software development, systems programming, ustMost Rust developers don't use a debugger. That's the headline finding from the Rust compiler team's first dedicated debugging survey, and it's worth sitting with for a second. Rust has spent years ...
AI Has Turned Verification Into the New DevOps Bottleneck
Alan Shimel | | AI agents, AI code generation, AI code review, AI coding, AI evaluation, AI in DevOps, CI/CD, continuous delivery, developer experience, developer productivity, devops, devops automation, platform engineering, pull requests, Release engineering, software delivery, software pipelines, The Great UnificationThe next DevOps challenge is not generating more software. It is proving, quickly and repeatedly, that a growing volume of machine-generated change is fit to ship ...
