AWS Lambda
Amazon API Gateway
Amazon S3
Google App Engine
DynamoDB
Google Cloud Functions
Amazon AWS
AWS Elastic Beanstalk
SecondStack
liteLLM
Portkey
Merlin Unified API
OpenRouter
TrueFoundry AI Gateway
VoidLLM
ZenMux
SecondStack gives an entire organization access to AI without handing its data to third-party clouds.
The platform ships three end-user workspaces โ Chat for everyday work, Code for engineering teams, and Agent for automation โ running on top of an enterprise LLM gateway that connects to the model providers you choose (OpenAI, Anthropic, Google, and others). Platform and security teams manage everything centrally: who can use which models, what each team spends, and where data lives โ inside your own infrastructure.
Because SecondStack is self-hosted, prompts, files, and knowledge bases never leave your environment. For teams that prefer not to operate it themselves, a managed deployment run by the SecondStack team is also available.
Pricing is not per-seat, so rolling AI out to the whole company does not multiply the bill. Deployment and operations are backed by an ISO 27001-certified implementation partner.
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Based on our record, AWS Lambda seems to be more popular. 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 / 2 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 / 2 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 / 3 months ago
Amazon API Gateway - Create, publish, maintain, monitor, and secure APIs at any scale
liteLLM - One library to standardize all LLM APIs
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.
Portkey - Build production-grade & reliable AI apps with Portkey
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
Merlin Unified API - One Super API for all AI models (with 90% less error rates)