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Developer tools · #ballerina
Use Ballerina's error type and check keyword to make network failures explicit at compile time instead of handling them as runtime surprises.
Ballerina’s native gRPC connector turns a single .proto file into fully typed client and server stubs, eliminating boilerplate and keeping your service definition in sync with the API contract. Learn how to generate, implement, and test a gRPC service in minutes.
Eliminate request blocking in microservices by using Ballerina's lightweight workers and channels for non-blocking background processing.
Learn when to reuse a single Ballerina http:Client instance for connection pooling and when creating a client per request may be acceptable, with a decision table, trade‑off analysis, and sample code.
Ballerina's sum-type error model and native fault-tolerance constructs make errors explicit in the type system and encode retry, timeout, and circuit-breaker policies into service bindings, shaping resilient trust boundaries and failure domains.
When serving files >1 GB or handling high‑throughput uploads, Ballerina offers two patterns: stream‑based HTTP or in‑memory buffering. This guide compares constraints, trade‑offs, and shows a concrete implementation and validation workflow.
Learn how to manage HTTP request-response cycles in Ballerina, balancing automatic serialization with the manual control of the http:Caller object for custom status codes.
Learn how to use Ballerina workers to offload CPU-intensive tasks from the main event loop, utilizing futures for asynchronous results and locks for thread safety.
Learn how to build resilient JSON REST endpoints in Ballerina using the built-in HTTP service model and @retry annotations to handle transient failures.
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