BrowserStack’s Post

Do we need AWS Durable Functions when we have Step Functions? 🤔 After #reInvent, I carved out some time over the holidays to really dig into AWS's new Durable Functions announcement. Here are my unfiltered thoughts! It's a smart move by AWS, catching up with competitors like Cloudflare, Azure, and Vercel. Especially with the rise of #AIAgents that require functions to wait for user input without losing context, the timing for Durable Functions is perfect. After getting my hands dirty with them (details in my latest blog!), I've concluded that despite some initial quirks with documentation and AWS Console output, I'll be integrating #AWSLambda Durable Functions more into my workflows. They genuinely push for better code structure! ✨ However, for true #AIAgent orchestration, I'll lean towards specialized tools and services like Trigger.dev, Temporal.io, dedicated solutions like #BedrockAgentCore, or libraries like Mastra.ai. And #StepFunctions? Absolutely still in my toolkit! The mature visualization and seamless direct AWS SDK integration remain killer features that are hard to beat. 🚀 Want to dive deeper into my findings, code examples, and comparisons? ➡️ Read the full blog post: https://lnkd.in/dDwZUtns ➡️ Explore the code on GitHub: https://lnkd.in/dGjG5v2F #aws #awslambda #durablefunctions #stepfunctions #serverless #cloudcomputing #development #tech #AI #orchestration #blog

𝗘𝘃𝗲𝗿𝘆𝗼𝗻𝗲 𝘁𝗮𝗹𝗸𝘀 𝗮𝗯𝗼𝘂𝘁 𝗔𝗜 𝗽𝗿𝗼𝗺𝗽𝘁𝘀. 𝗡𝗼𝗯𝗼𝗱𝘆 𝘁𝗮𝗹𝗸𝘀 𝗮𝗯𝗼𝘂𝘁 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁. Building an AI agent is easy. Getting it online and reliable is where most people quit. You can’t keep a terminal open forever. You need a way to host it, trigger it, and let real users interact with it. Here is what actually works in practice. 𝟭. 𝗦𝘁𝗮𝗿𝘁 𝘀𝗶𝗺𝗽𝗹𝗲 Use a free serverless platform like Google Cloud Run or Render. Push your code from GitHub, let the platform handle scaling and uptime. 𝟮. 𝗪𝗿𝗮𝗽 𝘆𝗼𝘂𝗿 𝗮𝗴𝗲𝗻𝘁 𝗶𝗻 𝗮𝗻 𝗔𝗣𝗜 If your script runs locally, it is not a product. Add a single FastAPI or Flask endpoint so other tools or websites can call it. 𝟯. 𝗦𝗲𝗰𝘂𝗿𝗲 𝘆𝗼𝘂𝗿 𝗸𝗲𝘆𝘀 Hardcoding OpenAI or API keys inside your script is asking for trouble. Use environment variables. Every hosting platform supports them. 𝟰. 𝗛𝗮𝗻𝗱𝗹𝗲 𝘀𝘁𝗮𝘁𝗲 Your agent forgets everything between runs unless you store context. Use Redis, Supabase, or even Google Sheets as lightweight memory. 𝟱. 𝗠𝗼𝗻𝗶𝘁𝗼𝗿 𝗶𝘁 Add simple logging. Record inputs, outputs, and errors. If something breaks, you should know before your users do. Deployment turns a cool project into a real product. Anyone can build an agent. The pros are the ones who keep it alive. #AI #Automation #n8n #Developers #Deployment #NoCode #Productivity

Real 𝐚𝐠𝐞𝐧𝐭𝐬 are stepping out of the toybox while 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 quietly learns new tricks - 𝐉𝐒𝐎𝐍 z‑pages, in‑place restarts, and watch-driven routes - just as bots flood the network and 𝐄𝐊𝐒 defaults get caught wide open. If you care about speed without drift, security without ceremony, and AI workloads that actually run, dig in. --- 🏆 100 GitHub Projects That Defined 2025: A Community-Driven Ranking 🛠 1.35: Enhanced Debugging with Versioned z-pages APIs 🌐 2025 Internet Trends: Explosive AI Crawling Growth and the Rise of 30+ Tbps DDoS Attacks 🔓 BadPods Series: Everything Allowed on AWS EKS 🤖 From Deterministic to Agentic: Creating Durable AI Workflows with Dapr 🧪 Implementing assurance pipeline for Amazon EKS Platform 🧠 Kubernetes GPU Management Just Got a Major Upgrade ♻️ v1.35: New level of efficiency with in-place Pod restart 👀 v1.35: Watch Based Route Reconciliation in the Cloud Controller Manager --- Smarter clusters, sharper instincts, go make the next deploy boring! Read the full issue: http://from.faun.to/r/GoN7 Subscribe to Kaptain: https://faun.dev/join/ Have a great week! #Kubernetes #EKS #DevOps #SRE #Cloud #CloudNative #AI #AIOps #Security #DDoS #GitHub #Dapr #GPU #MLOps #K8s #AWS #Observability

🚀 Serverless 2026: No Servers, Just Speed! ⚡☁️ Tired of managing "invisible" servers? 😴 In 2026, the best code is the code you don't have to manage infrastructure for. Welcome to the era of True Serverless! Whether it's AWS Lambda or Vercel Edge Functions, we are moving past "Cold Starts" and into instant, global execution. 🌍✨ What’s New in 2026: ⚡ Zero Cold Starts: New Snapshot-based warming in AWS Lambda means your functions fire instantly, even after days of silence. No more lag! 💨 🔥 Edge Dominance: With Vercel Edge Functions, your code runs at the "Edge" (closest to your user). This means sub-10ms latency globally. 🏎️ 💰 Granular Billing: 2026 brought us Microsecond Billing. You only pay for exactly what you use—down to the tiniest fragment of time. 📉💸 🛡️ Native AI Integration: Serverless functions now have direct, high-speed access to LLM inference models, making it the default way to build AI apps. 🤖 The Bottom Line: Serverless is no longer just for "simple tasks." It’s the fastest way to build, scale, and secure your next big idea without the headache of a single server. 🏗️✅ Check out my latest tech insights: 👉 https://vivekkudecha.dev 🌐 #Serverless #AWSLambda #Vercel #CloudComputing #SoftwareArchitecture #EdgeComputing #WebDev #TechTalk #Automation

🎄 #AWSAdvent2025 Week 3 Recap 🎄 Week 3 of the AWS Advent Calendar focused on AI, application delivery, and cloud security in practice. Experts shared hands-on insights into tools and approaches for building, deploying, and securing real workloads. Key takeaways: 👉 Amazon SageMaker Inference – Real-time, serverless, async, and batch options to run ML models based on latency and scale. 👉 SageMaker Unified Studio – A single workspace combining data engineering, analytics, and AI development. 👉 AWS Amplify – Simplifies full-stack app deployment, helping teams ship faster with minimal infrastructure setup. 👉 Amazon GuardDuty – Continuous threat detection, foundational for AWS security and incident response. 👉 Spec-driven development with Kiro – An AI-assisted approach to turning requirements into code using structured specs. 👉 Model Context Protocol (MCP) – A standard for connecting AI models and agents with external systems and AWS services. 👉 EC2 networking & security groups – A structured approach to securing EC2 access with isolation, least privilege, and layered defenses. 👉 AWS Glue – A managed service for building and simplifying data integration and ETL workflows. 👏 Thanks to all Week 3 contributors for sharing practical, real-world experience. To explore these tools and approaches further, follow Ihor Sasovets and Victoria S., all AWS Advent Calendar expert posts are collected on their pages. #AWS #AWSsecurity #AWSservices

Localized AI eval system for Makebind with 3rd party integrations for GitHub, AWS and Razroo | Co-Build Feature Platform. I hope the public gets to see it in the next week or so

🚀 2026 Strategy: From re:Invent Keynotes to Production Reality! 🏗️✨ - The energy of #reInvent2025 was incredible—but a keynote is just a vision. Mastery is in the execution. As we head into 2026, the real question isn't "What was announced?" but "How quickly can we implement it?" 🏆 - AWS has officially released the re:Invent 2025 Launches Learning Plan on AWS Skill Builder. This is your technical blueprint to dominate the cloud landscape in 2026. 🛠️☁️ 🧠 What’s inside your 2026 Skill-Up Path? 🤖 The Agentic AI Shift: Move beyond basic prompts. Get hands-on with Amazon Bedrock, Agentic AI, and Claude 4.5 integrations to build autonomous, reasoning workflows. 🔒 Automated Governance: Stop the manual policy struggle. Master IAM Policy Autopilot and the newest Cedar enhancements for mathematically proven security. 🛡️ ⚡ Modernization at Scale: Use AWS Transform to crush tech debt in months, not years, and explore the latest EKS capabilities and Graviton4 performance. ⚙️ 🌐 Global Networking: Learn to deploy the new Route 53 Global Resolver for secure, ultra-low latency anycast DNS. - Why start this plan TODAY ? 🎯 Curated by Experts: Direct training on the most critical 2025 innovations. 💻 Hands-On Labs: Don’t just watch—build in the console to gain real-world muscle memory. 📈 The 2026 Edge: Be the leader in your organization who knows how to turn these new tools into business value. The cloud moves fast. Don't just follow the trends—build the future of computing. 🌊 Start your 2026 learning journey here :🔗https://lnkd.in/gtmHA7Y8 #AWS #reInvent2025 #SkillBuilder #CloudLearning #GenerativeAI #DevOps #AWSArchitecture #ContinuousLearning #CloudComputing #TechTraining AWS Training & Certification Amazon Web Services (AWS)

“Our observability costs are now higher than our AWS bill.” Not surprising. Every jump in delivery speed raises the bar for observability. Microservices did it. AI coding tools are doing it again. Ship faster → debug harder. Sustained velocity requires debuggability.

Observability costs can definitely get out of hand especially if engineers are emitting every telemetry data(metric, logs…) but I believe the performance engineers can help reduce the cost by identifying the top sources, not emitting irrelevant data, and educating teams on how to properly utilize observability.