TLDR DevOps 2025-11-07

Converging ITOps and SecOps sounds nice — and with 95% of organizations leaving 20% of their endpoints undiscovered and unprotected, it's increasingly important.

🤔But doesn't “alignment” just lead to vaguely defined areas of responsibility?

❗It certainly can. Without defining a clear plan, “breaking down silos” will lead to friction and paralysis.

💡N-able laid out the Convergence Blueprint to help you map your convergence of people, processes and technology for improved operational efficiency and resilience.

Read it to see practical examples, learn about modern tooling, and better understand exactly what to focus on.

Download the blueprint

Google Cloud introduced the Log Analytics query builder, a new UI-based tool that simplifies log analysis by allowing users to generate and visualize queries without needing SQL expertise. It enables faster troubleshooting, intuitive JSON handling, and real-time SQL previews, helping teams quickly extract insights from their observability data.

Crossplane, a cloud native platform engineering tool that brings declarative APIs to cloud infrastructure, applications, and services, has graduated from the Cloud Native Computing Foundation. With over 3,000 contributors from 450+ organizations, Crossplane has been adopted by companies like Nike, NASA Science Cloud, and IBM to build secure and scalable internal platforms.

A new workflow called “code research” uses asynchronous coding agents such as Claude Code, Codex, and Gemini Jules to autonomously run experiments that answer programming questions through executable proof-of-concepts. By assigning these agents dedicated GitHub repositories with full network access, developers can launch multiple research tasks daily that independently return verifiable results with minimal manual involvement.

By combining Bazel with classic software engineering principles, the Quip and Slack Canvas backend build pipeline was sped up from 60 minutes to as little as 25 minutes when the frontend was cached, and up to six times faster overall. Key to the improvement was severing dependencies between the frontend and backend, rewriting Python build orchestration code in Starlark, and composing granular units of work. Analysis of the build graph also revealed flaws, such as intertwined backend and build code, which were addressed through separation of concerns and rewriting build code, leading to a higher cache hit rate.

This tutorial explains how to build a functional MCP (Machine Communication Protocol) Server with surprisingly little code, using Semaphore's public API to query build data and manage CI/CD workflows. It walks through how to create a Python project, install necessary dependencies like "mcp[cli]" and "httpx," define a "list_projects" tool to retrieve project names, test the server using the MCP Inspector, and connect to Codex. Semaphore is developing an official MCP server, which will soon be generally available, offering a read-only version initially to interested organizations.

Infrastructure works fine until traffic spikes 10x. What breaks first: queues, retries, your database? Take the 5-minute assessment to find out now... instead of at the next 2 a.m. freakout. Your score might surprise you! Take the assessment.

Deepnote, used by over 500,000 data professionals, is a successor to Jupyter that adds an AI agent, sleek UI, new block types, and native data integrations. The Deepnote open-source platform allows users to edit and run notebooks in AI-native code editors and offers free cloud access to students and educators.

Token-Oriented Object Notation (TOON) is a compact data serialization format for LLM prompts that potentially halves token usage compared to JSON. It uses YAML's indentation and CSV's tabular format with optimizations to reduce token cost when passing structured data to Large Language Models. Benchmarks show that TOON achieves 70.1% accuracy (vs JSON's 65.4%) while using 46.3% fewer tokens.

Amazon CloudWatch and AWS Identity and Access Management enable secure handling of sensitive log data through automated detection, masking, and access control mechanisms. These capabilities help protect personally identifiable information while maintaining operational efficiency and minimizing mean time to respond during application troubleshooting.

Agentic AI transforms cloud security by evolving from passive copilots to proactive teammates capable of reasoning, learning, and acting autonomously. Sysdig's approach uses autonomous agents that analyze environments, assess business risk, and take action to strengthen defenses, marking a shift toward smarter, faster, and more adaptive cloud protection.

LinkedIn's Hiring Assistant, the company's first AI agent for recruiters, now uses n-gram speculative decoding to address latency challenges and improve the responsiveness of the user experience. The technique accelerates text generation without sacrificing quality and resulted in a nearly 4x higher throughput at the same queries per second, as well as a 66% reduction in P90 end-to-end latency. N-gram speculative decoding shines in workloads where outputs naturally repeat phrases or follow structured patterns.

You're delivering software. Are you delivering value? With Planview, you get a single overview of planning, execution, and business impact. See how Planview unifies the entire product development cycle.

Existing configuration languages such as YAML, XML, TOML, HJSON, and HCL contain redundant or confusing syntax, inconsistent handling of data types, and overly complex specifications.

Rigid security practices often stifle innovation and create unnecessary conflict between IT and security teams, leading to shadow IT.