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How Zapier runs isolated tasks on AWS Lambda and upgrades functions at scale

Zapier snaps each customer Zap into its ownAWS Lambda, cradled inside leanFirecracker microVMs. It wrangles 100k+ functions under anEKScontrol plane and inventory DB. When runtimes retire, Zapier swings into action: a set ofTerraform modulespaired with a customLambda canary tool. Traffic trickles in.. read more  

How Zapier runs isolated tasks on AWS Lambda and upgrades functions at scale
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How GitHub engineers tackle platform problems

Product engineersare like builders ofGundam models, construcing the final product, whileplatform engineerssupply the tools needed to build these kits. Understanding theGundam analogyhelps differentiate engineering roles at GitHub... read more  

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10 Best API Monitoring Tools in 2025

API monitoring tracks latency, errors and uptime. Tools tag real-time metrics. They fire alerts. They map traces. They automate tests. They crunch analytics. Examples span OSS starsPrometheus,Graphiteand SaaS champsAppDynamics,Postman. Each hooks into CI/CD pipelines and plants global synthetic prob.. read more  

10 Best API Monitoring Tools in 2025
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Building a Secure, Scalable, and Automated Cloud-Native Platform on AWS with EKS, GitOps, and…

The blueprint carves out production-grade AWS infra. Terraform orchestrates VPCs with public and private subnets, deploys a Bastion host, spins up private EKS clusters, and stands up an internet-facing ALB armed with SSL/TLS. Argo CD drives GitOps. The CI pipeline runs SAST, builds Docker images, hu.. read more  

Building a Secure, Scalable, and Automated Cloud-Native Platform on AWS with EKS, GitOps, and…
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The Art of Azure RBAC for Kubernetes: A Complete Guide to Access Control Mastery

This article dives into Azure RBAC for Kubernetes. It maps each persona to pinpoint roles per namespace. Permissions stay minimal from the get-go. It ties role bindings toAzure AD groups, splits dev and prod, and flips on audit logs. Quarterly reviews, crisp docs keep RBAC lean and current... read more  

The Art of Azure RBAC for Kubernetes: A Complete Guide to Access Control Mastery
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MCP Catalog: Finding the Right AI Tools for Your Project

Docker Desktop hatches a betaMCP CatalogandToolkit. It unleashes 100+ containerized Model Context Protocol servers loaded with metadata and use-case filters. Teams fire them via GUI or CLI. The catalog carvesDocker-builtimages from community builds, runs supply-chain scans, and seals isolation. Cust.. read more  

MCP Catalog: Finding the Right AI Tools for Your Project
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We Added Chaos to Our CI/CD Pipelines — It Made Everything More Stable.

Wix’sMREteam injectsAI-drivenchaosintoCI/CDpipelines. Mobile releases gain speed and rock-solid stability. They harness hackathon-born prompt tests to bulletproof builds and deployments. Signal: AI resilience trials in pipelines mark a shift from rigid builds to probabilistic validation... read more  

We Added Chaos to Our CI/CD Pipelines — It Made Everything More Stable.
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Critical VMware Tools VGAuth Vulnerabilities Enable Full System Access for Attackers

Two CVE-2025 vulns in VMware Tools allow SYSTEM access via named pipe hijacking and path traversal. Upgrade to 12.5.1+ ASAP for fixes. Administrators must upgrade... read more  

Critical VMware Tools VGAuth Vulnerabilities Enable Full System Access for Attackers
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Serverless: The Illusion of Choice

A LinkedIn thread exposes a hack around AWS EventBridge’s256KBlimit. Someone chains Lambdas tocompressthendecompressevents. Serverless traps lurk: blown-upIAMpermissions. Triggers with zero validation. Wide-openegress. Unscanned packages fueling supply chain bombs... read more  

Serverless: The Illusion of Choice
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GitHub Spark in public preview for Copilot Pro+ subscribers

GitHub Spark spins natural-language prompts into full-stack AI apps in minutes. It tapsClaude Sonnet 4to scaffold UI and server logic. It hooks updata storage,LLM inference, hosting,GitHub Actions,Dependabot, plus multi-LLM smarts from OpenAI, Meta, DeepSeek and xAI—zero config. Trend to watch: AI .. read more  

GitHub Spark in public preview for Copilot Pro+ subscribers
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.