North American Kubernetes salaries took a 6% nosedive, settling at an average $165,288. Meanwhile, Europe enjoyed a tidy 4% uptick. Remote work? Holding steady at 68%. No surprise—Python remained the darling of coding languages, getting a nod in 62% of job posts, while Docker wasn't far behind, gracing 57% of openings.

Linux Foundation drops a global Cybersecurity Skills Framework to battle the talent drought. It links skills to heavyweights like DoD Directive 8140.

Microsoft just dropped the KB5058385 patch and—hallelujah—it solves the nine-month Secure Boot nightmare. But hold your cheers, Linux dual-booters. You're still stuck in no-man's land.

What started as a simple front-end bug fix turned into a 5-hour odyssey through an insanely tangled CI/CD pipeline. In the end, cutting clutter and automating the mess saved the day.

Terraform's meta-arguments, count and for_each, work loop magic. But tread carefully—these two have quirks. Lists or maps? Makes a difference. Mess up, and resources might just do the cha-cha instead of staying put.

OpenAI inspector for Ansible allows users to inspect their Ansible code using AI-based rules. By installing ansible-lint and following a few commands, users can utilize pre-built rules or create their own to ensure their Ansible tasks and playbooks adhere to best practices. Using OpenAI, users can analyze their Ansible code with more contextual information to enhance the inspection results.

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Premature microservices are like planting seeds in concrete. They'll stall your startup's momentum. A monolith is your friend here—simple, reliable, with the vast realm of open-source at your disposal. A crisp monorepo tightens team synergy and sidesteps the quagmire of complexity, unlike those headache-inducing setups that derail you before you've even gotten started.

Amazon Q behaves like a tech-savvy wizard, dialing up app resilience with style. It champions Multi-AZ deployments, elastic scaling, and caching to strengthen AWS fortresses. With a talent for real-time failure analysis and savvy DR strategies, it transforms basic setups into systems that laugh in the face of chaos.

Hackers snagged some leaked AWS keys and conjured up a "persistence-as-a-service" scheme. They weaved through API Gateways and Lambda like ghostly threads. Dodging revocation? Easy. They whipped up dynamic IAM users faster than you can say "security breach." Telegram buzzed with ConsoleLogin events—automation winked in the shadows. They fiddled with SSO and MFA settings, stretching session durations to sidestep pesky security controls. A digital tightrope walk, if there ever was one.

Nix shatters the myth that security demands clunky, air-gapped setups. It's a wizard at crafting reproducible, secure builds without dragging down speed or flexibility. Regulators can rest easy with Nix's "source closure" magic trick: full offline rebuilds and rock-solid supply chain integrity, all wrapped up in a tidy, no-nonsense package.

K3s reconciler threw a fit. A botched YAML reformat doubled up resources and obliterated the author’s cluster, courtesy of the clumsy hands of language models. It’s a vivid postcard from the island of LLM limitations. Luckily, Hetzner’s system rebuild stepped in to save the day. But it wasn’t painless. A delicate disaster recovery waltz ensued, uncovering Kubernetes' eccentric treatment of persistent volumes. Sometimes, tech quirks are just a too-friendly reminder of all that can go wrong.

StarlingX tackles low-latency like a boss, perfect for edge and enterprise clouds. It weaves together real-time Linux and OVS DPDK, all while juggling up to 5,000 nodes. It scales effortlessly, sprinting from humble single-node setups to sprawling tens-of-thousands in multi-region clouds. Timing precision? Sub-microsecond for those high-stakes apps.

Lyft's Codemod Platform turns chaos into calm. It converts disruptive updates into a few quick fixes, slashing manual review time for over 100 frontend microservices. Adoption rates rocketed by up to 30% in two weeks. They wield jscodeshift like a wizard's wand—transforming multiple languages and integrating smoothly, slicing through the work hours and keeping their codebase fresh. In a year, they've crafted over 40+ transforms. Not bad for a turbocharged kit of magic tricks.

Mapping hardware to Linux device names? Chaos. Enter SystemD: its magic cleans up the network interface mess. Storage naming, though? Serial numbers rule the roost. With the sharp combo of Redfish HTTP API and Pixiecore, they revamped server setup. Price tag? A jaw-dropping under $1 for 50 servers. Thank a cunning AI-gRPC cocktail for that.

Azure Sentinel deployment now tightens security through CI/CD using Terraform and Azure DevOps. Say goodbye to those clunky manual setups. Hello, sleek automation.

Postmortem Optimization: Slashing LLM costs while preserving quality and safety. Who said AI can’t spruce up even the most mind-numbing tasks?

Vadim Solovey blows the whistle on our love affair with so-called "efficient" code. It's smoke and mirrors, he insists. Behind the illusion lurk costly inefficiencies. Solovey demands we shift focus—ditch those endless cloud tweaks for something deeper: code-level fixes.

Enter execution profiling and cloud monitoring tools. These are your sleuths for unmasking memory bloat and sluggish queries. The fix? Refactor those tired algorithms, whip your data structures into shape. The reward? A headline-worthy 70% cut in processing time and resource drain. Now that's efficiency.

Take a list of domains, crawl urls and scan for endpoints, secrets, api keys, file extensions, tokens and more

Deterministic workflow engine

JumpServer is an open-source Privileged Access Management (PAM) tool that provides DevOps and IT teams with on-demand and secure access to SSH, RDP, Kubernetes, Database and RemoteApp endpoints through a web browser.

Agentic AI Framework for Java Developers

Did you know that Stack Overflow runs on a surprisingly lean tech stack powered by C#, .NET, and SQL Server? Despite handling over 100 million visits a month, the site is so well-optimized that it runs on fewer than 10 web servers. The engineering team focuses heavily on performance tuning and efficient database queries—some pages render in under 15 milliseconds. It’s a prime example of how deep expertise in optimization can outpace sheer infrastructure scale.

It always takes longer than you expect, even when you take into account Hofstadter's Law ~ Hofstadter's Law