Hewlett Packard Enterprise closed its acquisition of Juniper Networks following the settlement of a lawsuit by the U.S. Department of Justice. This acquisition will allow HPE to expand its networking business and compete in the AI networking market. HPE officials stated that the merger positions the..

GitOpsturns deployment upside down. A cunningpull-basedmethod. Tools likeArgo CDautomate app updates by keeping a hawk's eye on Git repos. Toss those convoluted CD pipelines into the trash. If updates stumble—justGit committo roll back. Safe teamwork—no need to touch the cluster...

UsingGoandRustwith CGI-style requests taps into multi-core CPU might, poking fun at long-held CGI inefficiency myths...

OpenYurt, a CNCF brainchild, shakes up cloud-edge orchestration. It dances with Kubernetes like Fred Astaire and partners with any vendor under the sun...

eBPFandRustteam up to drive a network packet parser that catches packets at breakneck kernel speed. Welcome to the future of observability and security.XDPsteps in, slicing latency to the bone for real-time inspection...

Cachingdoes more than rev up performance; it cuts through the chaos of software design, making it tidier and more modular. Sure,LRUandLFUsound like they should open for a prog rock band, but their trusty old formulas stand strong against those wild swings in data access...

Atlassianpulled off a major coup, relocating 4 million Jira Postgres databases toAWS Aurora. They slashed expenses by taming CPU beasts and carved out a rock-solid 99.99% uptime. A delightful efficiency cocktail. SamsungandTSMCare brooming through some project cobwebs. Samsung's rethinking its Texas..

70% CPU throttlingbaffled me in Kubernetes—minimal CPU usage, yet throttling? Alexandru Lazarev nailed it: ditch the CPU limits. Instant fix. Prometheus paints the spikes, while Grafana smooths them into a bore. Maybe those burstable CPU limits will swoop in to save us soon...

Dapr's sidecar model makes service talk a breeze.Microcks? It's all about pretending those pesky dependencies are there, so developers can run tests without spinning up an entire Kubernetes circus...

Docker’s magic? Slick deployment for the Unix-challenged. But here’s the catch: it ties skilled users in knots.Sure, it smooths some bumps, but at the price of freedom. Customizations? Troublesome. Troubleshooting? A nightmare. Simple tasks become tangled puzzles...