Kaptain

From bumpy Kubernetes deployments finally getting a smoother ride to Docker's once-magical allure now coming under scrutiny, this issue dives into the good, the bad, and the critical hacks reshaping our toolkits. It's time to rethink what's in your dev stack, challenge conventions, and turn complexity into clarity.


🌟 Akamai App Platform Makes Kubernetes Production-Ready

❌ Basically Everyone Should Be Avoiding Docker

🤝 Cloud Native App Local Development with Microcks and Dapr

🔧 Fixing Developer Experience in Kubernetes With Klutch

⚙️ Go is 80/20 Language

🔍 How Fortune 500 Companies Are Really Using Kubernetes

📸 Image Compatibility in Cloud Native Environments

🚀 Improving Amazon ECS Deployment with SOCI Index Manifest v2

📈 Kubernetes FinOps 2.0: AI-Powered Cost Optimization

🙌 Looking for a Kaniko alternative? Give werf a try


Redefine your development approach—disrupt the norm and code smarter.
Have a great week!
FAUN Team

Drill into any container, trace requests across complex microservices, and resolve issues with speed. Our unified monitoring platform seamlessly connects metrics, logs, and traces, providing complete observability across your containerized environment. This means no more blind spots—just clear, actionable insights when you need them most.

Download your free trial today!

Kmesh v1.1.0 shakes things up with an overhauled DNS module. It’s got one job: tackle hostname resolution—no more, no less. BPF configuration? Now effortless, thanks to global variables. As for Kernel-Native mode, it’s less needy. Just a single tweak left in Linux kernel 6.6. Progress.

Kubernetes involves building platforms that often exceed budgets due to complexity. Akamai App Platform provides a pre-configured stack of open source Kubernetes projects for ready-to-use platforms in just 20 minutes. The platform also offers easy self-service for developers, making Kubernetes more accessible.

Calico Enterprise 3.21 rolls out eBPF-driven DNS policies to iptables, slicing latency without needing an eBPF overhaul. Enter DNS inline mode: it outpaces competing DNS policies, kills retransmits, and zips up connections. Nftables? Still lagging in eBPF chops, but xtables—which they’ve put out to pasture—fills the gap for now.

SOCI index manifest v2 locks onto container images like a heat-seeking missile. It banishes AWS Fargate deployment gremlins and declutters index management. Switching to v2? Simple—deploy a shiny new CLI subcommand. Voilà, no more accidental SOCI index deletions wreaking havoc on your image indexes.

Kubernetes Node Feature Discovery now gives containers a say in the conversation. They can outline and validate OS and hardware needs. Smart scheduling for demanding apps just got a boost.

Mirantis Lens just got a brain transplant. Meet Lens Prism, the AI that slices through Kubernetes like a hot knife through butter—offering real-time insights and commands right in your IDE. Wave goodbye to command-line hell with their slick AWS integration. It blitzes through the setup grind, letting you juggle EKS clusters across accounts and regions with ease. Your productivity will thank you.

Mirantis throws a lifeline to Swarm, promising five more years of support. Why? Simplicity. Even as the Kubernetes juggernaut thunders on, over 100 clients hang tight to Swarm's straightforward charm. MKE cleverly blends these orchestrators, smoothing your path to Kubernetes while cranking up the security dial.

werf jazzes up Kubernetes deployments with reproducible, rootless builds via Buildah or BuildKit. It slots right into CI/CD powerhouses like GitLab and GitHub Actions.

Klutch shreds Kubernetes complexity, handing developers the reins with effortless abstractions. It slyly rides Crossplane's coattails too.

PostgreSQL pumps life into 36% of Kubernetes workloads. Over at Azure, they've got local NVMe storage that's as fast as a hot knife through butter—perfect for those deployments that absolutely must defy gravity. For the budget-conscious, Premium SSD v2 struts in offering beefy scalability. We're talking up to 80,000 IOPS and blisteringly low latency.

Kubernetes stumbles when GPUs break down in AI/ML work. Why? It clings to static resource guesses and lacks strong tools to handle crashes. Despite this, developers flock to Kubernetes for its bustling ecosystem. Sure, DIY hacks can patch some holes. But let's be honest—complex workloads deserve smarter Kubernetes extensions to wrangle device failures.

Kubernetes FinOps 2.0 leverages AI to slash cloud costs by 40–60% through predictive autoscaling and spot instance optimization, ensuring peak performance at a fraction of the price. Transition from reactive cloud-cost management to agile, self-optimizing strategies is key for modern software teams aiming to stay competitive in cloud spending.

Kubernetes punches well above its weight, doling out scalability and resilience. But it trips over complexity, gulps down resources, and fumbles database migration. Meanwhile, Istio swoops in with swift traffic management and crystal-clear observability. Sadly, it can't magic away those pesky database bottlenecks.

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.

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 images for AI often resemble overstuffed suitcases, with a BERT model clocking in at a hefty 2.54GB. But trimming them? That’s the key to lightning-fast deployments and lower cloud bills. The Dive tool is your X-ray vision for peeling back layers and spotting the bloat—like those sneaky, useless OS components. Shedding excess not only sharpens performance but tightens security and hugs sustainability goals.

Kubernetes and cloud apps shouldn't toy with security. Least Privilege, Privilege Separation, and Zero Trust aren't trendy buzzwords; they're must-have armor. These principles nail down strict controls, carve duties into distinct silos, and demand proof at every turn. What do they transform? They turn usual vulnerabilities into unbreakable strongholds.

Platform engineering is practically the law of the land for cloud-native warriors. Crank up scalability, lighten the load on your talent, and hit that mythical 99.9% uptime with a sprinkling of OpenTelemetry. Meanwhile, your GPU utilization hovers at a pitiful 5%. Ouch. That's like having a Ferrari stuck in first gear. Time to shift and really harness those resources.

Go keeps it simple, delivering 80% of the goods with just 20% of the mess. But some critics sniff around, demanding more for their extra 36% effort. Swift proves the point that more isn’t always better with its extra baggage.

70% CPU throttling baffled 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.

Build kubernetes releases in a hermetic and reproducible environment

A modern, lightweight Kubernetes dashboard

Selfhosted apps using Docker - guides by examples

Like Dozzle but with alerts and a one command set-up

Did you know that GitHub improved clone times by optimizing how they serve repositories—using CDN caching, HTTP/2, and smart server-side strategies—without requiring any changes to Git clients?

Instead of relying solely on traditional infrastructure to deliver Git data, GitHub leverages content delivery networks (CDNs) and edge caching to bring repository data closer to users geographically. This minimizes latency, especially during clone and fetch operations for large repositories. Additionally, the use of HTTP/2 allowed for multiplexed connections.

While some have speculated that GitHub may store git packfiles in services like AWS S3 to benefit from scalable, parallelized storage, there is no official confirmation of this. What is clear, however, is that GitHub's backend improvements have made cloning faster and more efficient—without requiring developers to change how they interact with Git.

"When code whispers simplicity, infrastructure often screams complexity; find balance or suffer the echoes."
— Sensei

Meet Alex Bit , the Co-founder & CEO of Codemod, where they're reshaping code migration to handle any size codebase more efficiently than ever. With a rich background that includes innovating at Meta and leading transformative projects like a software visualization tool that saves $500k yearly, Alex is a leader with hands-on experience in crafting scalable solutions. From previous roles at Facebook to foundational work at Stealth, Alex has consistently fused technical acuity with strategic vision.