AWS CodeArtifact
aws.amazon.comStore, cache, and share software packages as part of a build and release workflow.
Store, cache, and share software packages as part of a build and release workflow.
A command-line tool for sending HTTP requests and asserting the responses as repeatable tests.
Centralize application and infrastructure logs for search, routing, dashboards, and alerts.
Run web and mobile application tests on hosted browsers and physical devices without maintaining a device lab.
Track scheduled jobs and heartbeats so missed runs and failed background processes can trigger alerts.
Drive a chosen rate of HTTP requests and turn response samples into load-test reports.
A REST API for querying air-quality locations, sensors, and measurements with geographic and date filters.
Preview and deploy infrastructure changes through the same CI workflow as application code.
Run mobile automation suites on real Android and iOS devices in BrowserStack's cloud.
Sign and verify container images and other software artifacts with keys or Sigstore's OIDC-based flow.
Check whether independently developed services agree on the HTTP and message contracts they use.
Process meshes and CAD through desktop, command-line and hosted tools
Combine Python expressions and shell commands in one Python-based command prompt.
Automate game-asset reduction with explicit quality and format controls
Model performance scenarios for applications and APIs, generate virtual-user load and analyze run results.
A managed cloud database for transactional SQL, analytics, and multi-model workloads.
Composes Python components into retrieval, search, and agent pipelines for AI applications.
Build functional, security and performance tests for APIs, then automate the runs in CI.
A visual and code-based automation tool for functional web and desktop testing, with API and load features in the Ultimate edition.
Sales CRM with role-controlled deal edits and a continuing free edition
Compile SVG drawings into sprites and associated stylesheet output.
Sales CRM with team-specific quote rules and approval-aware revisions
A shared lead inbox with different personal and team completion actions
Sales pipelines with lead routing and Freddy AI assistance