GOTO Serverless Bengaluru 2025
2025-08-08
Bengaluru, India
| title | author | length |
|---|---|---|
| How to Build Your Full-Stack Applications With CDK & AWS Amplify | Erik Hanchett | 26m |
Chooses a clear path: author frontend and backend entirely in TypeScript using AWS Amplify Gen 2 layered on top of CDK, wire a Next.js frontend to AppSync +… | ||
| State of Serverless DevEx & Observability | Jones Zachariah Noel N | 14m |
Claims rapid improvement since 2014 with concrete tooling: Lambda layers and container images simplify packaging and dependency reuse; remote debugging in VS… | ||
| Beyond the Basics: Production Serverless Patterns for Extreme Scale | Janak Agarwal | 21m |
Explains how AWS Lambda reaches 1000 concurrent environments immediately and adds roughly 1000 more every 10 seconds, reaching ~16–18K execution environments… | ||
| Serverless Agents: Real-World Tooling with Strands SDK, MCP & AWS | Akshatha Laxmi | 21m |
Demonstrates a concrete pipeline: MCP JSON-RPC describes tools so any LLM discovers and calls them, Strands SDK provides Strands SDK agentic tools and… | ||
| Building & Running a Serverless Platform: Beyond Infrastructure | Shilpa Prabhu Nagavara | 27m |
Describes a production platform built 90% serverless that exposes composable capabilities—upload/download, listing, access control, malware scan… | ||
| Building, Managing & Governing APIs on AWS | Giedrius Praspaliauskas | 26m |
Shows how to build and operate REST/GraphQL APIs using Amazon API Gateway and AppSync with IaC (CloudFormation/Terraform/CDK) driven by open API specification… | ||
| From Renting Machines by the Hour to Renting Capabilities by the MSeconds | Dhaval Nagar | 15m |
Argues that cloud billing shifts from hours to value, from VMs to APIs and tokens, claiming teams now compose product features from tiny billed capabilities… | ||
| Building Agentic Applications with Spring AI | Matthew Meckes | 24m |
Claims that Java and Spring can run production agentic apps at enterprise scale using Spring AI, connecting to AWS Bedrock and exposing Java services via Model… | ||
| Growing a Career in IT Through Trust, Curiosity & Community | Farrah Campbell | 24m |
Career pivot from mid-30s with no degree into cloud by leading with curiosity, then using community activity—amplifying content, fixing doc typos, joining… | ||
| The API is the Platform | Shamasis Bhattacharya | 28m |
Postman’s early serverless stack runs into zero observability and flaky behavior—an internal reliable messaging service proves neither reliable nor testable—so… | ||
| Creating Momentum with The Value Flywheel Effect | David Anderson | 23m |
Describes a proven modernization loop used at Globalization Partners to turn cloud projects into accelerating cycles of learning and delivery: adopt a… | ||
| Building Agentic AI Systems with AWS Serverless | Uma Ramadoss | 23m |
Shows a concrete pattern: wrap company APIs as tools, give the LLM context and run model→tool→model loops to complete goals — demonstrated with a travel agent… | ||
| Serverless & Agentic AI: Better Together | Prashanth HN | 15m |
Claims that agents are inherently event-driven and map cleanly to AWS serverless: API Gateway → Lambda agents calling Bedrock or SageMaker for LLM inference… | ||
| Simplifying Serverless with AI-Powered CLI Tools | Todd Shaffer | 20m |
Demonstrates using Amazon Q CLI and the Q developer CLI to convert a 20‑line Python S3→Lambda snippet into a production MVP, expanding it to 388 lines while… | ||
| Agentic Al in SW Development: Evolving Patterns & Protocols | Bhuvaneswari Subramani | 24m |
Demo shows a working Nova ACT model driving a browser to search and add an Apple Pencil to cart using three English sentences, proving simple agent scripts… | ||
| Serverless Panel | N. Coult, R. Kohler, D. Anderson, J. Agarwal, A. Laxmi, J. Dongre | 51m |
Panelists claim AI shifts work from boilerplate to design, citing 10 trillion function invocations on AWS and a senior engineer who prototypes a Rust service… | ||
| Reliable AWS Lambda Data Pipelines with AsyncAPI Specification | Hari Krishnan | 19m |
Builds a Kafka→AWS Lambda order-cancellation pipeline (XML in → JSON out) and uses AsyncAPI as executable contract plus Specmatic+LocalStack to auto-generate… | ||
| Orchestration Lightning: Rapid-Fire AWS Step Functions Patterns | Eric Johnson | 23m |
Shows concrete Step Functions patterns with exact tools and results: a CRUD machine implemented with API Gateway VTL and DynamoDB to avoid Lambdas for sync… | ||
| Containerization ≠ Modernization: Kick-Start Your Transformation Journey | Jeevan Dongre | 25m |
Project work spans 50+ enterprise transformations and 8,000+ AWS Lambda functions, with real‑time data pipelines and GenAI copilots used to cut time‑to‑value… | ||
| Embracing Complexity in Serverless | Sheen Brisals | 27m |
Distinguishes essential vs accidental complexity and shows how serverless services hide massive backend work using DynamoDB as an example, warns that enabling… | ||
| Beating the Iron Triangle: Trade-offs, Primitives & No Silver Bullets | Robbie Kohler | 21m |
A global middleware, Byte Connect, replaces an aging PHP stack and ships from idea to production in 8 weeks by composing AWS serverless primitives: API… | ||
| Serverless: Fast to Market, Faster to the Future | Srushith Repakula | 13m |
Claims a full event-networking app with chat, QR contact exchange, personalized schedules and payouts is built in 15 days vs 6 months, using AWS serverless… | ||
| The Future of Serverless | Nick Coult | 28m |
Serverless claims are concrete: over 1 million monthly active Lambda customers and 10 trillion invocations per month, Lambda begins as an S3 processor and now… | ||
| nothing matches | ||