Amazon ECS Reviews

GitHub MCP Server Reviews

Amazon ECS mentions (60)

• Serverless with Mama J — Why Serverless

  Long-running workloads — A single Lambda invocation has a 15-minute maximum, and that applies to synchronous execution. For workloads that need to run longer — heavy video encoding, large data migrations, overnight batch jobs — you'd traditionally reach for something like Amazon ECS or AWS Batch. However, the new AWS Lambda durable functions feature changes the game by letting you build long-running asynchronous... - Source: dev.to / 3 months ago

• Amazon Elastic Container Services (ECS) : Express Mode and Custom Mode for Receipt Extraction

  Hello everyone. I want to continue writing about receipt extraction application. In this blog tutorial, I want to create API on Amazon Elastic Container Services (ECS) using ECR receipt extraction image that already created before. Amazon ECS is a fully managed container orchestration service that build, manage, and run container without the complexity of infrastructure management. - Source: dev.to / 3 months ago

• AIP-C01 last-minute revision: exam traps, memory hooks, and quick notes

  Model Context Protocol (MCP): Standardised interface (JSON-RPC 2.0 over HTTP or stdio) for agent-tool interactions. MCP servers via Lambda (stateless) or Amazon Elastic Container Service (Amazon ECS) (complex tools). - Source: dev.to / 3 months ago

• 8 Key BYOC Deployment Options Every Data Engineer Should Know

  A well-documented example is Flightcontrol, which deploys application workloads to customers' own AWS accounts using Amazon ECS with either Fargate or EC2 launch types rather than Kubernetes. Fargate is the default path (serverless compute, no node management), while ECS with EC2 is available for teams that need GPU support, Reserved Instance pricing, or custom instance types. All builds run in the customer's AWS... - Source: dev.to / 5 months ago

• docker-android: A Docker Environment for Controlling Android Emulators from a Web Browser

  Docker-android can also run in container orchestration environments like AWS ECS and GCP Cloud Run. - Source: dev.to / 6 months ago

GitHub MCP Server mentions (18)

• Do unused MCP tools cost you money?

  I have a small "GitHub summarizer" agent: one system prompt, one job — answer questions about my GitHub account by calling the GitHub MCP server. I duplicated its configuration (MAVERIK supports this directly — same model, same prompt, same everything) and changed one field on the copy: the set of attached MCP servers, adding deepwiki, microsoft-learn, and context7. Neither agent needs any of those three for the... - Source: dev.to / 11 days ago

• Every API Will Be Rebuilt for Agents

  GitHub's official MCP server is excellent — and GitHub is narrowing its default toolset and consolidating PR tools into fewer, more capable ones, explicitly to cut tool bloat and improve agent reasoning. The implication is hard to miss: even one of the best API companies on the planet is learning that a 1:1 mapping from product API to agent tools isn't the right shape. - Source: dev.to / about 2 months ago

• Your AI Agent Has Push Access to Every Repo

  The official GitHub MCP server registers 83 tools. Most people set it up for reading code and managing issues. What they don't realise is they've also handed their agent the keys to:. - Source: dev.to / about 2 months ago

• Helping Claude Do Its Best Work

  A lot of people use MCP servers to connect Claude to tools. I'm not generally a fan. MCP servers load a lot of information into context and often don't do everything that the API can. Last I looked, even the official Github MCP Server is guilty of this. I'd rather write tools directly, to my specifications. - Source: dev.to / 4 months ago

• Kiro showcase: Automating Changes Across Several Repos with Spec-Driven Development and Custom Sub-Agents

  Rather than manually searching through repositories, I used Kiro with the GitHub MCP server to:. - Source: dev.to / 4 months ago