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  2. 7 days ago635 downloads per month . MIT/Apache. 67KB 816 lines. botcore. A flexible and efficient bot engine framework for building event-driven bots in Rust. Overview. botcore is a high-performance, type-safe framework for building event-driven bots in Rust. It provides a modular architecture that makes it easy to create, test, and maintain bot applications that can react to various events in real-time.
  3. Jan 13, 2025Vector is a high-performance, end-to-end (agent & aggregator) observability data pipeline that puts you in control of your observability data. Collect, transform, and route all your logs and metrics to any vendors you want today and any other vendors you may want tomorrow. Vector enables dramatic cost reduction, novel data enrichment, and data ...
  4. Production-grade asynchronous bot engine with enterprise observability features. v 1.0.6 900 # bot # engine # event-processing # trading # mev # arbitrage # prometheus-metrics. runnel. the pluggable io stream. now support: stdio, string io, in memory pipe. v 0.3.19 420 # io-stream # pipe # thread # filter # fifo # stdin.
  5. Feb 7, 2025Get full observability into your Rust workloads when orchestrating through Dagster. With this light weight interface, you can retrieve data directly from the Dagster context, report asset materializations, report asset checks, provide structured logging, end more. Usage Installation cargo add dagster_pipes_rust Example
  6. A high-performance observability data pipeline. GitHub 0.1.0 768K # data-pipeline # vector # observability # vec # metrics # logs # performance. monte-carlo-tree-search. Monte Carlo Tree Search to find good moves in two player games. v 0.2.0 400 # tree-search # monte-carlo # node # player # find # game # moves.
  7. Add observability to your Rust types! v 0.8.8 6.6K # observable # reactive # async # async-await. madsim. Deterministic Simulator for distributed systems. v 0.2.31 11K # distributed-systems # deterministic # simulation # async. nb. Minimal non-blocking I/O layer. v 1.1.0 627K no-std # async-io # io # future # await # futures.
  8. Feb 3, 2025Observability. One of the tools used to monitor your graphql server in production is Apollo Studio. Apollo Studio is a cloud platform that helps you build, monitor, validate, and secure your organization's data graph. Add the extension crate async_graphql_apollo_studio_extension to make this avaliable.

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