DevOpsLinks

SSL certs are getting shorter, AI comms are getting smarter, and Kubernetes still finds new ways to surprise us. From swap memory secrets to a Terragrunt glow-up, this week is full of deep cuts and sharp upgrades.

🔐 SSL/TLS certificates will max out at 47 days by 2029
🛡️ Google’s Sec-Gemini v1: smarter cybersecurity through AI
🧰 Terragrunt Stacks finally Feature Complete
🚀 Amazon EKS Auto Mode Workshop: launch clusters in one command
🧠 Why Swap on Kubernetes ≠ Swap on Linux
🧙‍♂️ Nelm steps in as a Helm alternative, now GA
🧮 Bicep vs. Terraform: IaC showdown, cloud edition
🤖 The Post-Developer Era—AI writes 25% of Google’s code
🎛️ Retry, Backoff & Jitter: when they fail you
🧠 eBPF kernel wizardry gets practical with Co-Re

Fewer assumptions. Better defaults. More signal!!

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SSL/TLS Cert Lifespan Crashes from 398 to 47 Days by March 2029! Automation’s your lifeline. Kiss those manual migraine-inducers goodbye.

Amazon EKS Auto Mode tosses the headaches of Kubernetes cluster management to AWS. It dynamically tunes resources, making life easier for your apps. Feeling lazy? The workshop deploys an app with just one command, all while delivering beefy, scalable solutions. Oh, and you’ll master it in two hours flat.

Sec-Gemini v1 steamrolls cybersecurity benchmarks, leaving rivals eating digital dust. It’s 11% better on CTI-MCQ and 10.5% sharper on CTI-Root Cause Mapping, thanks to cutting-edge threat intelligence and vulnerability insights. With a little help from Google Threat Intelligence and OSV, it decodes complex vulnerabilities faster than you can say "firewall." Cybersecurity pros: get ready to outpace those cyber gremlins.

Terragrunt Stacks just leveled up. It's like Marie Kondo hit your Infrastructure as Code, making it pristine with On-Demand and Recursive Generation. Say goodbye to config clutter.

Kubernetes doesn't mess around. Swaps or not, you're still getting OOMKilled thanks to cgroup limits acting like bouncers. For a budget-friendly strategy, turn to Spot Instances and stretch those dollars.

Nelm waves goodbye to the 3-Way Merge and embraces Server-Side Apply. Kubernetes updates now strut in with more reliability, while remaining fully cozy with Helm compatibility.

Bicep, born from the heart of Azure, untangles the knotty ARM JSON mess. It delivers developer zen with its modular magic and ditches the hassle of state files. Meanwhile, Terraform swaggers across clouds, flaunting its multicloud prowess, a spirited community, and integrations that slip together like puzzle pieces.

eBPF lets you safely unleash custom C programs inside the Linux kernel. No more messing with kernel modules or courting system crashes. Think of it as your eagle-eyed watchman for events. Thanks to Compile Once, Run Everywhere (Co-Re), you streamline the operation, keeping your kernel as panic-proof as a monk in a meditation retreat.

Nextdoor took on database scalability like a pro. They dynamically routed queries to read replicas and kept cache consistency tight, even while yanking the carpet out with schema changes. Multi JOINs blocked their move to distributed SQL like annoying roadblocks. But Nextdoor, the sly foxes, extended their lead by slicing off foreign-key shackles and outsmarting query routing. They bought precious time before slamming into the monolithic database ceiling.

The AWS Well-Architected Framework's Performance Pillar champions nimble, cloud-native and serverless-first approaches. These tactics help systems pivot like a ballerina, dodge vendor lock-in, and slash costs. With Wardley Mapping, gain clarity. Prioritize flexibility. Ditch the shackles of hard-coded solutions.

AWS actions don't always pick up list capabilities from resource types automatically. You'll often find yourself manually specifying list actions, which throws a wrench into Attribute-Based Access Control (ABAC) plans. AWS docs on dependency themes like PassRole? Incomplete at best. Cue the unexpected failures.

In the security scene, overstuffed IAM Roles, particularly when mixing federated users and Infrastructure as Code (IaC), present a hacker's dream. Precise trust policies become your holy grail. Hedging these threats? Not optional.

NebuloSky's VM panic spike: not a botched kernel rollout, but the chaos of adding 1,000,000 platform Y VMs. Classic lurking variable mistake. Pro tip from Gen Z's crystal ball: dissect data by potential influences to sidestep this mess next time.

MCP struts onto the scene as the new AI-comms rockstar. Now featured in GitHub Copilot, it turns email automation with Azure Communication Services into a walk in the park.

DCL flips DNS on its head with adaptive timeouts, exponential backoff, and real-time config updates. Result? Downtime hits the floor, fault tolerance flexes its muscles. DNS visibility and client-side metrics accelerate alert sharpness, fine-tune infrastructure tweaks, and kick old-school limits to the curb across LinkedIn’s domain.

Retries, meet your nemesis: server overload. Just hammering the "try again" button doesn’t solve it. Enter exponential backoff and jitter, the dynamic duo for taming sudden traffic spikes. But don’t pop the champagne just yet. When fresh requests keep pushing past capacity, this strategy crumbles, revealing the ugly truth—it’s no silver bullet for scaling woes.

AI crafts 25% of Google's code while human developers orchestrate the symphony, molding and refining the AI's raw outputs. These AI tools "boost," they don't "replace," the seasoned artisans of code. Startups peddling the AI-only coding pipe dream tend to implode, tripped up by unanticipated hurdles. While AI inches forward, human expertise stands firm, untouchable.

ECS Fargate dominates 24/7 stateless APIs, dodging those pesky Lambda cold starts. Meanwhile, Lambda thrives in event-driven bursts but hits a 15-minute ceiling. For lean, mean APIs with built-in auth, lean towards API Gateway. But if speed matters, marry Fargate with an App Load Balancer. Step Functions streamline multi-step processes with state machines. Yet, don't overcomplicate—often a simple Lambda does the trick.

PANIX turns the tangled web of Linux persistence and Process Capabilities on its head. It makes them as easy to test as flipping a light switch—and sharpens your detection game along the way.

The STS OIDC Driver (stsoidcdriver) is a Python-based tool that enables you to request temporary AWS security credentials for an IAM role, using ID tokens, from your OpenID Connect(OIDC) provider (OpenID provider, in their parlance).

AWS MCP Servers — specialized MCP servers that bring AWS best practices directly to your development workflow

A CLI tool (and library) written in Go to simplify the process of retrieving IP addresses from infrastructure hosted on Google Cloud Platform (GCP).

A tool that monitors a local Git repository, generates AI-powered summaries of recent commits (daily, weekly, or monthly), and sends them to a Discord channel. Includes robust error handling and optional email notifications for critical failures.

Codex CLI drops ChatGPT-level genius straight into the terminal. Code execution hooks up to version control like a dream. Open-source and safe—no need for network handshakes. Toss in some wizardry with diagrams for that multimodal flair!

Automagic shell tab completion for Python CLI applications

Did you know that Discord handles millions of concurrent voice connections using a highly optimized mix of Elixir and Rust? Elixir, built on the Erlang VM, powers Discord’s real-time messaging and voice infrastructure thanks to its incredible concurrency capabilities. Rust is used for performance-critical parts, like the audio/video encoding pipeline. This combination allows Discord to deliver low-latency, real-time communication at massive scale—supporting everything from gaming squads to classroom lectures without skipping a beat.

Code is bad. It rots. It requires periodic maintenance. It has bugs that need to be found. New features mean old code has to be adapted. The more code you have, the more places there are for bugs to hide. The longer checkouts or compiles take. The longer it takes a new employee to make sense of your system. If you have to refactor there’s more stuff to move around.

Code is produced by engineers. To make more code requires more engineers. Engineers have n^2 communication costs, and all that code they add to the system, while expanding its capability, also increases a whole basket of costs. You should do whatever possible to increase the productivity of individual programmers in terms of the expressive power of the code they write. Less code to do the same thing (and possibly better). Less programmers to hire. Less organizational communication costs.

~ Rich Skrenta