... CloudWatch, and GitHub commits just to figure out what went wrong. Here's how it works: Monitors your websites and APIs Vigil AI investigates incidents automatically Correlates failures with GitHub commits and deployments Pulls AWS telemetry (EC2, RDS, ALB, Lambda, CloudWatch) and now Lightsail! Scores commits by time, file relevance, deployment status, and infrastructure correlation Filters out noise below a 40/100 threshold to save AI tokens Shows you the evidence, not just a guess Recent improvements: Lightsail support (requested ...

... without provisioning anything is huge." The value here is frontloading the signal, you get behavioral data before the architecture document is even finished. CI pipelines as a first-class use case. Resource saturation and cost surprises caught before staging. Lambda cold-start cascades. Overprovisioned RDS instances. NAT Gateway billing accidents. These are exactly what the simulator surfaces, and they're exactly the things that don't show up until a bill arrives or a load test reveals them. Chaos engineering ...

... trying to do with my upcoming Chrome extension for LinkedIn. I don t know if it will take off, so I want to go with the most cost-efficient stack possible. Could you recommend the best low-cost alternatives for infrastructure and launching? Databases Payments/money management (I m currently considering Stripe) Analytics Hosting and domains? If there are other essential tools I m missing, feel free to add them. I m especially open to dev advice since my experience here ... ... highly available and cheap Search - Typesense, offers rich search, typo tolerance etc all the good stuff and much cheaper than OpenSearch, and in the Supabase search sucks Supabase Auth - only Auth as it is cheap and good alternative

... filing analysis tool, on a standard in-process rate limiter for managing requests to the SEC EDGAR database. It worked perfectly in development and in early production. Then I hit a wall. Vercel's serverless architecture spins up multiple Lambda instances concurrently. Each instance had its own rate limiter. They had no idea the others existed. Under any real traffic spike, the instances collectively hammered EDGAR well above the rate limit while each individual instance thought it was behaving perfectly ...

... like Lambda for a lot of things, but there s a very specific point where it stops feeling elegant. Usually it starts with something like: a job that runs too long a workflow that should keep going in the background a task that needs better isolation or custom runtime behavior a system that starts needing cron, retries, webhooks, logs, and routing in one place And then the answer often becomes: move to Fargate, ECS, Step Functions, EC2, or stitch multiple ... ... early. A lot of teams don t actually want more AWS primitives. They want a simpler way to run background work and longer-lived jobs without rebuilding half the platform around them. For those of you who hit Lambda

... there's no demand and have at least 1 available container always, but we keep experimenting balancing start-up time. We have 3 types of start: perpare and cold - this is the first time you start not optimized lambda - the time varies a lot and depends on dependencies. It happens only 1 time when you deploy lambda

... Agent guideline-aware treatment reasoning Trial-Matching Agent live clinicaltrials.gov API with eligibility logic Toxicology Agent adverse effect prediction, drug interaction flags (our differentiator) Compliance Agent final veto authority, regulatory enforcement, blocks unsafe outputs AWS stack: Bedrock (LLM explainability) Lambda API Gateway DynamoDB SQS (agent handoffs) S3 CloudFront CloudWatch The hardest design decision wasn't the AI it was making safety override intelligence at every layer. A Confidence Decay Model reduces output confidence by 30% on safety concerns ...

... quit my full time job. Launched on Product hunt twice. 1st time product of the day and second time 3rd. We have 25+ native integrations and counting. Stack is simple: Next.js, Prosgress, AWS fargate, AWS S3 and a few lambda functions. Comment from Ryan Hendrickson(@ryan_hendrickson): @handuo  Nice! Content discovery is definitely a challenge -- working through that in one of my other projects at the moment, where we are explicitly trying to take an anti-algorithm stance. Really ... ... developer. My "co-founder" is AI. It wrote 90% of the code. Although it was expensive, I used OpenClaw + Codex + Opus. The hardest part wasn't the tech it was staying focused on what actually matters to users vs

... OpenAI, Anthropic, or Mnexium. Wherever you d store one API key, you d store the others. The recommended (and most common) approach is to host API keys outside the iOS app , typically behind a backend service (for example, a Lambda or API endpoint). The app then communicates with that service once it starts up. This is simply how Apple expects sensitive credentials to be handled today. It would definitely be easier if iOS supported something like a true .env file ...

... house burn instead of handing us the fire extinguisher? What SubTrackHub Does Differently SubTrackHub helps engineering teams find inefficiencies AND fix them, with minimal context switching. Autonomous waste detection + clear actions Identify unused or idle cloud resources (EC2, S3, Lambda, etc.) Spot SaaS bloat (unused seats, forgotten licenses, duplicate subscriptions) Present issues as Actionable Insights, not just charts AI-driven, structured executive insights Instead of raw logs or long tables, our AI gives you clear explanations: What s happening ...

... modern stack from the ground up. I hadn t seriously touched Python since my school days (the 2005-2009 era), but I dove in. I obsessed over the architecture, probably (certainly) to an unhealthy degree. I chose AWS Lambda for the core PDF rendering over Cloud Run because cold starts were nearly half and I could control costs better with provisioned concurrency. I intentionally built with FastAPI backend instead of Next.js backend, and used Amazon SES instead of my usual ...

... decided to try AWS Amplify instead of setting up our usual stack. To our surprise, it saved us a ton of time. In just a few days, we had: Auth (Cognito) File storage (S3) GraphQL + REST APIs (AppSync + Lambda) CI/CD auto-deploying the frontend Proper environment separation (dev, staging, prod) No custom infra scripts, no hours lost in IAM policies. Just shipped real features. It made us wonder: How are you handling the backend setup right now? Do you build ...

... community, I m a software engineer based in Berlin. I m building CuteFunctions, a cute but powerful FaaS platform built on top of AWS Lambda and DynamoDB. It s designed for vibe coding , a fun, intuitive way to create JavaScript cloud functions with AI-assisted. Whether prototyping fast or deploying backend logic, CuteFunctions makes it effortless. What s inside: cuteDB a key-value database designed for simplicity. cuteSecrets manage secrets securely with zero configuration. cuteHeaders access the original request headers ...

... rsync ing to the server and running. I dont do any migrations at that phase, just delete the DB and restart lol. once i get to PFR, I make dockerfiles, setup migrations, etc. I did recently set up some lambda functions for someone and couldn't believe how cheap it was compared to ec2. I never really thought about using it "for the backend" though (i just used it to run some job that happens once an hour). are there ...

... example what do you think of cloud functions as a service, a set of various web hooks and lambdas to do usual dev stuff like auth ...