Parallel Execution in Ballerina: Using Workers for CPU-Intensive Tasks
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.
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ballerinaControlling Concurrency in Gatling with the Closed Model
Learn how Gatling's Closed Model maintains fixed concurrent virtual users for predictable load testing, and when to use it instead of the Open Model.
Using Semaphores to Throttle Concurrent API Calls
Learn how a Java Semaphore throttles concurrent API calls, preventing overload while avoiding the pitfalls of mutex‑based approaches.
Choosing Cloud Run Concurrency for Burst Traffic and Cost Efficiency
Guide to selecting Cloud Run concurrency for burst traffic: requirements, minimal design, boundaries, checks, failures, and when to revisit the choice.
cloudrunUsing Go Channels for Safe Goroutine Coordination
Learn how Go channels replace mutexes for safe goroutine coordination, with a worker‑pool example, select‑based timeouts, and practical trade‑offs.
Architecting Shared State with Swift Actors
Learn how to implement Swift Actors to eliminate data races. This guide covers actor isolation, the Sendable protocol, and the critical risks of actor reentrancy in concurrent systems.
swiftTuning Cloud Run Concurrency: When More Requests Mean Less Cost
Learn how to tune Cloud Run’s concurrency setting to lower costs without sacrificing latency. A step‑by‑step guide with a real Node.js example, trade‑offs, and safety checks.
gcpSQLite Write‑Ahead Logging: Enable, Verify, and Avoid Common Pitfalls
SQLite’s Write‑Ahead Logging (WAL) lets readers run while writers commit, reducing lock contention. Learn how to enable WAL, verify it works, and manage checkpoints to keep the WAL file from growing uncontrollably.
sqlitePreventing Resource Exhaustion with Counting Semaphores
Learn how to use Counting Semaphores to prevent resource exhaustion and throttle high-concurrency access to finite resources like APIs and databases.