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From web developer to database developer in 10 years

EnterpriseDB is leveling upPostgres Distributed, the spiritual successor topglogical. Now withreplicated DDLandtunable consistencyacross clusters. It's mostly C and Rust under the hood - tight hooks into Postgres internals, with APIs that nod at abstraction but stay close to the core... read more  

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The state of the Rust dependency ecosystem

A deep dive into 200,650 Rust crates shows a brewing maintenance problem:45% are inactive, andover half of new crates never see a second update- a wild jump from just 1.4% in 2015. Zoom in on the top 1,000 crates, and it gets messier.249 dependencies have been abandoned, and158 are stuck on older ma.. read more  

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The Green Tea Garbage Collector

Go 1.25 drops an experimental GC calledGreen Tea. It flips the script on object traversal - scanning memory pages instead of hopping from object to object. The payoff? Up to40% less GC CPU overheadon real workloads. Bonus: it taps intoAVX-512on newer x86 chips forvectorized scanning. Turns out strea.. read more  

The Green Tea Garbage Collector
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AI's 70% Problem

Google’s Addy Osmani dropped a stat: AI now writesover 30% of the codeat Google. Impressive. But the hard part - the last 30% - still needs a human brain. That’s where the bugs live:security, edge cases, production wiring. No shortcut. And while AI adoption keeps climbing in greenfield work,trust is.. read more  

AI's 70% Problem
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LinkPro: eBPF rootkit analysis

A new stealth rootkit calledLinkProjust surfaced, taking aim at AWS-hosted Linux boxes. It blends two customeBPF programsfor deep concealment and remote activation via magic packets. The path in?CVE-2024-23897—an RCE on a public Jenkins server. From there, attackers slipped into Amazon EKS clusters,.. read more  

LinkPro: eBPF rootkit analysis
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Manage Secrets of your Kubernetes Platform at Scale with GitOps

Learn how to manage secrets with the External Secrets Operator and plug it into Argo CD to power your Internal Developer Platform without manual management, enabling self-service secrets management and secure connections between workload clusters and the control plane. With a chain of trust between .. read more  

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Kubernetes with Buildkite: faster, simpler, and ready for scale

Buildkite just added a major revamp of its Kubernetes Agent Stack. Highlights:REST-based config,leaner K8s objects, andhardened security defaults. It handlestens of thousands of concurrent jobswithout breaking a sweat. Shared environment vars cut down pod config noise. Error messages come with full .. read more  

Kubernetes with Buildkite: faster, simpler, and ready for scale
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How Airbnb Runs Distributed Databases on Kubernetes at Scale

Airbnb runs distributed databases across multiple Kubernetes clusters - each tied to its own AWS Availability Zone. That setup isolates failures down to individual pods and keeps the whole system highly available. They built a custom Kubernetes operator and leaned on EBS volumes with PVCs to smooth .. read more  

How Airbnb Runs Distributed Databases on Kubernetes at Scale
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Azure Developer CLI: Azure Container Apps Dev-to-Prod Deployment with Layered Infrastructure

Azure Developer CLI v1.20.0 leveled up Container Apps. Build and push are now split from deploy, so you can finally "build once, deploy everywhere" and mean it. It adds layered infrastructure support, lets you share anAzure Container Registryacross environments, and handles resource dependency seque.. read more  

Azure Developer CLI: Azure Container Apps Dev-to-Prod Deployment with Layered Infrastructure
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Zero-Trust Kubernetes: Enforcing Security & Multi-Tenancy with Custom Admission Webhooks

Tools likeOPA Gatekeeper,Kyverno, and custom webhooks slam the brakes on sketchy workloadsbeforethey ever spin up. These controllers aren’t just gatekeepers - they’re enforcers. They check pod configs, block unverified images, and apply live, scoped policies like tenant-awarenetwork isolationandreso.. read more  

GPT-5.3-Codex is OpenAI’s advanced agentic coding model, designed to go beyond writing code and operate as a general-purpose collaborator on a computer. It builds on GPT-5.2-Codex by combining stronger coding performance with improved reasoning and professional knowledge, while running about 25% faster. The model is optimized for long-running tasks that involve research, tool use, and complex execution, and it performs at the top of industry benchmarks such as SWE-Bench Pro and Terminal-Bench.

Unlike earlier Codex models that focused primarily on code generation and review, GPT-5.3-Codex can reason, plan, and act across the full software lifecycle. It supports activities such as debugging, deploying, monitoring, writing product requirement documents, creating tests, and analyzing metrics. It can also autonomously build and iterate on complex applications and better interpret underspecified prompts, producing more complete and production-ready results by default.

A defining feature of GPT-5.3-Codex is its interactive, agentic workflow. Users can steer the model while it is working, receive progress updates, and adjust direction without losing context, making it feel more like a teammate than a batch automation tool. The model was even used internally to help debug its own training and deployment processes. GPT-5.3-Codex is available through paid ChatGPT plans in the Codex app, CLI, IDE extension, and web, with API access planned for the future.