28+ min ago (265+ words) Azure Storage is Microsoft's cloud-based solution for storing data securely, reliably, and at scale. It provides a range of services designed to handle everything from unstructured files to structured tables, ensuring that organizations can store, access, and manage their data seamlessly across the globe. Think of it as a digital warehouse in the cloud that is flexible enough to store massive amounts of information, yet smart enough to deliver performance, security, and redundancy. When creating an Azure Storage account, several key settings determine how your data is stored, accessed, and protected. Subscription: The billing container that ties your storage account to your Azure plan. Location: Choose the Azure region where your data physically resides. This impacts latency and compliance. Replication: Ensures durability by copying data across regions. Options include: Secure Transfer Required: Enforces HTTPS connections to protect data in transit....

51+ min ago (492+ words) Large Language Models (LLMs) like Claude possess incredible reasoning capabilities, but they suffer from a critical flaw: They have no object permanence. Once you close a chat session, the "mind" is wiped. While features like "Projects" or huge context windows (200k+ tokens) help, they are temporary buffers, not true memory. They are expensive, slow to re-process, and don't persist across different interfaces (e.g., moving from VS Code to the web interface). To move from Chatbots to true Agents, we need to solve the state problem. The Model Context Protocol (MCP) is often described as a way to "connect AI to tools." But theoretically, it allows us to decouple the reasoning engine (the LLM) from the state (the data). Instead of trying to cram everything into the prompt (Context Stuffing), we can use an MCP Server as a Sidecar Attachment. By building a server…...

56+ min ago (411+ words) The final chapter of the Serverless FastAPI app tetralogy has arrived, we started with developing our app locally, then we wrote tests and in the last chapter we used native tooling and services within AWS to secure our app from bad actors. We've reached a fork in the road, we can continue to manually deploy our app by running commands locally or we can incorporate a more traditional approach to automatically test and deploy our app using a CI/CD pipeline. I initially wanted to use Azure Pipelines, that's what I have been using at work daily for the past 6 years. I appreciate Azure DevOps, lovely platform. - Cristiano Ronaldo voice (Infamous rant about nothing changing at Man Utd) To change things up, I then thought why not use GitHub Actions ? The infrastructure and application code already exists in GitHub. GitHub…...

1+ hour, 23+ min ago (345+ words) Supervisor pattern is the only one that survived a production spike without a hot-fix. Single agents are great for a sprint demo " and terrible for anything that hits the internet. I drew this on a whiteboard for our CFO after she saw the second invoice: Rule we now write into every SoW: PoC = managed. Day-1 prod = Runtime. The moment you need a custom MCP tool or a side-car Lambda, the console becomes a drag. Our first Kindo chatbot went live with 37 manually-written examples. Two weeks later a student asked "What grade do I need to pass?" and the agent calmly invented a 42 % cutoff (it's 50 %). Cue 4 a.m. rollback. We fixed it the boring way: Accuracy jumped from 67 % " 92 % and the support ticket queue dropped by half. Payroll bot rewrite: one supervisor + three specialised subs (policy, leave-balances, tickets). 60 % less copy-paste Lambda code, and we…...

1+ hour, 23+ min ago (208+ words) (1). Compliance with data governance and legal requirements (2). Proximity to customer (3). Available Services within a Region Each availability zone (AZ) is one or more discrete data centers with redundant power, networking, and connectivity (" " " " " " " " " - " ", " " " ") They're separate from each other, so that they're isolated from disasters (" " " ") They're connected with high bandwidth, ultra-low latency networking (, " " " ") (" " vs " " ") IAM : Identity and Access Management, Global service (" ") Root account created by default, shouldn't be used or shared (" " " ", " " " ") Users are people within your organization, and can be grouped (" " " " " " " ") Groups only contain users, not other groups (" " " ", " " " ") Users don't have to belong to a group, and user can belong to multiple groups (" " " " , " " " " ") Require specific character types (" " " "): Allows all IAM users to change their own passwords () Require users to change their password after some time (password expiration) (" " " ", ") Prevent password re-use ( " ") Password + MFA = Successful Login To access AWS, you have three options: Access…...

1+ hour, 57+ min ago (937+ words) Life would have been easy if the world were filled with monolithic functions. Simple functions that execute once, and if they crash, we could try again. But we build distributed systems and life isn't that easy (but it is fun). A classic scenario is : A user on our system clicks "Pay Now. The backend needs to do two things : This looks simple enough in code. But what if the database commits the transaction but the network acts up before the event is published onto the communication queue? The user is charged, but the email is never sent, and so the warehouse never ships the item. And if we try reversing it, the email is sent, but we do not get the payment. This is the Dual Write Problem, and it is the silent killer of data integrity in microservices. To…...

1+ hour, 57+ min ago (182+ words) Today in the #30DaysOfAWSTerraform challenge, I finally understood how powerful Terraform variables are and how using them properly makes your code cleaner, more organized, less repetitive, and easier to maintain. This was the day things started clicking for me. Here's what I personally understood during Day 5: I learned how to override variables using: These are the exact commands I ran while experimenting: These helped me understand how Terraform reads variable values based on priority. Below is the exact code I worked with today: Here's what stood out clearly today: No more repeating "dev" everywhere. I can just set it once. Perfect for passing dynamic values into resources. Useful when I need resource IDs after provisioning. Super helpful for computed values like dynamic bucket names. I changed values using: This helped me see how Terraform picks values based on priority. Day 5 was…...

2+ hour, 27+ min ago (472+ words) LangGraph gives you a graph-based runtime for stateful workflows, but you still need to build your own planning, context management, or task-decomposition logic from scratch. DeepAgents (built on top of LangGraph) bundles planning tools, virtual file-system based memory and subagent orchestration out of the box." Now let's build a research agent using the "deepagents' library which will use tavily for websearch and it'll have all the components of a deep agent. Note: We'll be doing the tutorial in Google Colab." Open a new notebook in Google Colab and add the secret keys: Save the keys as OPENAI_API_KEY, TAVILY_API_KEY for the demo and don't forget to turn on the notebook access." Also Read: Gemini API File Search: The Easy Way to Build RAG We'll install these libraries needed to run the code." We are storing the Tavily API in a variable and the…...

2+ hour, 39+ min ago (1335+ words) Speaker: Fabiano Honorato, Michelle Koo, Stephen Brandon @ AWS FSI Meetup 2025 Q4Introduction to BrexFinancial operating system platform for managing expenses, travel, credit.Engineering manager and team members discuss leveraging Amazon Aurora for resiliency and international expansionBrex servicesCorporate cards, expense management, travel, bill pay, and bankingAim to help clients spend wisely and smartlyImportance of preparing infrastructure for disaster scenariosFocus on the data layer, primarily using PostgreSQL with PG bouncer and replicas for applications and analytical purposesMerge smaller databases into a single database instancePast disaster recovery process was manual and time-consumingGoals for disaster recovery solutionWarm disaster recovery solution to decrease Recovery Time Objective (RTO) and Recovery Point Objective (RPO)RTO: maximum time to recover normal operations after disasterRPO: maximum amount of data tolerable to loseDetermining RPO and RTOAnalyze metrics, assess current capabilities, and conduct extensive testingUnderstand how applications will handle additional latency and data…...

2+ hour, 41+ min ago (1497+ words) Your traffic dropped 40% overnight. You checked Google Search Console. Then checked again. Refreshed the analytics dashboard three times because surely the data was wrong. It wasn't. Welcome to December 2025, where Google's latest Helpful Content Update decided your perfectly good content wasn't so helpful after all. The thing is, this update isn't like the others. And the recovery tactics that worked in 2023? Yeah, most of those are about as useful as a screen door on a submarine. I've spent the past three weeks analyzing over 200 sites that got hit'some recovered, most didn't. Here's what actually changed and what's working for recovery. Let's cut through the noise. Every SEO guru on LinkedIn is posting the same recycled advice about "creating quality content" and "focusing on user intent." (Translation: we have no idea either, but this sounds authoritative.) But here's what the data…...