Best AWS tools

Deploy persistent services and one-off container tasks, choosing Fargate or other AWS compute capacity.

Managed relational database clusters compatible with PostgreSQL and MySQL, operated through Amazon RDS.

A managed document database with MongoDB API compatibility.

Describe AWS resources in YAML or JSON templates and manage them together as stacks.

Build serverless GraphQL and real-time Pub/Sub APIs over multiple data sources.

Automate AWS software releases as source, build, and deployment stages.

Store, cache, and share software packages as part of a build and release workflow.

Run event handlers, HTTP workloads, or isolated compute without managing servers.

Store application records in a managed key-value and document database built around access patterns.

End-to-end encrypted messaging, voice, video, and file sharing for organizations.

Create, publish, secure, and monitor REST, HTTP, and WebSocket APIs.

Compile source, run tests, and create deployable artifacts without managing build servers.

Define AWS infrastructure in familiar programming languages and synthesize deployable applications.

Collect AWS and application telemetry, build dashboards, and alert when monitored metrics cross a threshold.

Run container tasks on AWS without provisioning the underlying servers or clusters.

Official AWS service symbols and presentation toolkits for architecture diagrams.

Use a managed Prometheus-compatible backend for metrics from EKS and other Kubernetes clusters.

Automate releases to AWS compute targets and on-premises instances.

Design cloud infrastructure visually and generate Terraform code for AWS.

Launch and connect to configurable virtual servers in AWS regions.

Collect distributed traces and inspect how a request moves through AWS resources and downstream services.

Launch a virtual private server with bundled compute, storage, and networking in AWS.

Usage-based cloud transcoding for file-based media

Cloud learning with digital resources and practical experiences