Tag: serverless

Create HTTP-triggered Azure Functions in Python with binding configuration, async handlers, dependency injection, and deployment via Azure CLI.

How to reduce cold start times in AWS Lambda, Azure Functions, and Cloud Run using provisioned concurrency, lazy loading, runtime tuning, and dependency optimization.

How to design loosely coupled systems using serverless functions triggered by events from message queues, databases, and webhooks.

How to capture all changes as immutable events using event sourcing with AWS Lambda, DynamoDB streams, and event stores for audit trails and temporal queries.

Create and deploy HTTP-triggered Cloud Functions on Google Cloud with Node.js, Express integration, secrets management, and gcloud CLI deployment.

How to implement bidirectional real-time communication using WebSockets with AWS API Gateway, Lambda, DynamoDB, and what works in connection management.

How to replace cron jobs with serverless scheduled functions for backups, reporting, cleanup, and periodic maintenance tasks.

How to design, deploy, and manage serverless HTTP APIs using AWS API Gateway, Lambda, and function-as-a-service patterns.

Design a DynamoDB single-table schema with composite keys, GSI patterns, and access patterns for serverless applications using Python and boto3.

Create and deploy serverless functions with AWS Lambda, Google Cloud Functions, and Azure Functions for event-driven, pay-per-use compute.

How to coordinate complex serverless processes using AWS Step Functions, Temporal, and Durable Functions to manage state, retries, and error handling across distributed functions.

Store function state as an append-only event log so workflows can be replayed, audited, and recovered without a persistent database.

Broadcast a single event to multiple independent consumers via SNS, EventBridge, or SQS so each consumer processes the event without coupling.

Chain serverless functions via Step Functions or orchestration layers to build multi-step workflows with retries, branching, and state management.

Handle backpressure in serverless by using SQS, token buckets, and concurrency limits to protect downstream services from burst traffic.

Keep Lambda functions warm by sending periodic ping events to reduce cold start latency for latency-sensitive workloads.

Runbook for diagnosing and mitigating serverless cold starts: causes, measurement, optimization strategies (provisioned concurrency, warmers, initialization tuning), and monitoring with code examples for AWS Lambda, Azure, and GCP.

Template for estimating serverless costs per workload: invocation-based pricing, memory-duration calculation, data transfer, API Gateway, Step Functions, and hidden costs. Includes cost optimization strategies and monthly budget projections.

Pre-deploy and post-deploy checklist for serverless functions (AWS Lambda, Azure Functions, GCP Cloud Functions): IAM roles, environment variables, memory sizing, timeout config, logging, alarms, and rollback procedures.

Security hardening checklist for serverless functions: IAM least privilege, secret management, input validation, dependency scanning, network isolation, logging, and compliance with code examples for AWS Lambda, Azure, and GCP.

A practical guide to serverless architecture: function design, cold starts, event-driven patterns, state management, and common pitfalls with AWS Lambda, Azure Functions, and GCP Cloud Functions.

Run AWS Lambda in production with confidence. Covers cold start optimization, layers, deployment patterns, observability with X-Ray, security hardening, connection pooling, and cost tuning for production workloads.

Decide when to go serverless and when not to. Covers FaaS patterns, event-driven design, cold starts, cost models, vendor lock-in, and migration strategies for production serverless applications.

Choose and operate serverless databases for event-driven applications. Covers DynamoDB, Aurora Serverless, FaunaDB, and PlanetScale with pricing, scaling, query patterns, and migration strategies.