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Wetask: a unified runtime for distributed tasks, scheduling, and caching

Today I’m releasing Wetask v0.1.0-rc.1, the first public release candidate of a system I’ve been building in Go. Wetask combines several backend responsibilities into one deployable runtime: Distributed task execution Scheduled job…

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Today I’m releasing Wetask v0.1.0-rc.1, the first public release candidate of a system I’ve been building in Go.



Wetask combines several backend responsibilities into one deployable runtime:




  • Distributed task execution

  • Scheduled jobs

  • Integrated caching

  • Durable queue recovery

  • High availability and leader election

  • Health checks, metrics, administration, and operational tooling



The goal is straightforward: reduce the number of separate components teams need to operate for background jobs, scheduling, caching, and failover.






Current release status



This is a controlled pilot release candidate, not yet a general-availability enterprise release.



The release includes compiled binaries for:




  • Linux amd64 and arm64

  • macOS Intel and Apple Silicon

  • Windows amd64



The implementation source remains private. The public repository contains only compiled releases, installation tooling, checksums, licenses, and package metadata.






Install Wetask



On macOS or Linux:




curl -fsSL https://raw.githubusercontent.com/tosiiko/wetask-releases/main/install.sh \
| sh -s -- --yes --version v0.1.0-rc.1






The installer detects the operating system and architecture, downloads the appropriate archive, and verifies its SHA-256 checksum before installation.

You can also download the archives directly:

https://github.com/tosiiko/wetask-releases/releases/tag/v0.1.0-rc.1

Reliability work

Before this release, I ran unit, integration, race, chaos, upgrade, recovery, load, and direct client-pipeline tests.

The direct gRPC pipeline benchmark processed 8,991,000 mixed cache operations with zero client errors. Peak throughput reached approximately 753,000 operations per second in a container-local benchmark.

I also fixed and regression-tested a lock-order deadlock affecting concurrent durable task submission and result waiting.

What comes next

The next milestones are:

A dedicated Homebrew tap

Multi-architecture container publishing

Secured three-node staging validation

Live failover and restore exercises

Feedback from controlled production pilots

If you test Wetask, installation problems and reproducible binary issues can be reported through the public repository. Please use private vulnerability reporting for security issues.

Release:

https://github.com/tosiiko/wetask-releases/releases/tag/v0.1.0-rc.1

I’d especially value feedback from teams operating task queues, schedulers, caching systems, or combinations of those components.

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Auch interessante Nachrichten Wetask: a unified runtime for distributed tasks, scheduling, and caching

Thematisch verwandte Begriffe: Wetask, unified, runtime, distributed · 6 Treffer

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