AWS Lambda
Amazon API Gateway
Amazon S3
Google App Engine
DynamoDB
Google Cloud Functions
Amazon AWS
AWS Elastic Beanstalk
Amazon Bedrock
Amazon Comprehend
Google Cloud Machine Learning
Amazon SageMaker
Langfuse
Amazon S3
PartyRock
Amazon Titan
AWS Lambda Amazon BedrockBased on our record, AWS Lambda should be more popular than Amazon Bedrock. It has been mentiond 297 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
AWS Lambda is a service that runs your code without you managing any servers. You write your code, deploy it to Lambda, and it takes care of the infrastructure โ servers, networking, security, and scaling. - Source: dev.to / 3 months ago
Clay can replace the Lambda and API chain if you'd rather avoid custom code. You set up a Clay table as the enrichment layer, trigger it from Segment via webhook, and it handles the waterfall and CRM push without writing a function. The tradeoff: less control over scoring logic and higher cost per enriched contact. - Source: dev.to / 3 months ago
To show why this matters, take a look at the following example. I have three AWS Lambda functions, Lambda being the serverless compute service, that each handle a different endpoint on the same API. But, almost everything about them is the same. They have the same runtime, the same memory configuration, and nearly the same structure. The only differences are the name, handler, and possibly some environment variables. - Source: dev.to / 3 months ago
Query Expansion and Decomposition: Amazon Bedrock query expansion broadens search; AWS Lambda query decomposition breaks complex queries into sub-queries; AWS Step Functions orchestrates multi-step retrieval. - Source: dev.to / 3 months ago
You need to understand synchronous and asynchronous inference patterns, event-driven architectures using Amazon EventBridge, workflow orchestration with AWS Step Functions, data processing with AWS Lambda, state management with Amazon DynamoDB, and security with AWS Identity and Access Management (IAM). The exam tests your ability to design serverless architectures that scale automatically, handle failures... - Source: dev.to / 4 months ago
Foundation Models (FMs): Large pre-trained transformer models available via Amazon Bedrock: AWS Nova, Claude (Anthropic), Llama (Meta), Amazon Titan (text, embeddings, image), Jurassic-2 (AI21 Labs), Stable Diffusion (Stability AI). Select FMs based on task, latency, cost, and token limits. - Source: dev.to / 3 months ago
Amazon Bedrock Https://aws.amazon.com/bedrock. - Source: dev.to / 4 months ago
"But we already have an LLM gateway." If your team routes AI traffic through a gateway like LiteLLM or AWS Bedrock, you already have token-level usage data. But if your engineers are on coding plans โ Claude Team/Max, OpenCode Go, GitHub Copilot seats, ChatGPT Codex โ the LLM calls bypass your gateway entirely. You lose visibility into the interesting stuff: how many tool calls per session, prompt sizes, which... - Source: dev.to / 4 months ago
To understand why this certification matters, it helps to look at how we got here. About three years ago, when ChatGPT/OpenAI took the world by storm with the GenAI and LLM revolution, we saw AWS flagbearer GenAI service Amazon Bedrock being used primarily for setting up chatbots, statbots, and AI assistants with Retrieval Augmented Generation (RAG) enabled and basic agentic setups. Those were small-scale and... - Source: dev.to / 4 months ago
OpenAI API key โ the agent uses GPT-4o-mini as the LLM (Large Language Model) provider, swappable for Amazon Bedrock or other providers. - Source: dev.to / 5 months ago
Amazon API Gateway - Create, publish, maintain, monitor, and secure APIs at any scale
Amazon Comprehend - Discover insights and relationships in text
Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.
Google Cloud Machine Learning - Google Cloud Machine Learning is a service that enables user to easily build machine learning models, that work on any type of data, of any size.
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.