InfraSim
Zero-risk chaos engineering — prove your infra's ceiling
What it does
InfraSim simulates infra failures without touching production. Unlike Gremlin or Chaos Monkey, InfraSim runs 150+ chaos scenarios in memory — proving your system's theoretical availability ceiling. Key features: - 5 simulation engines (Static, Dynamic, Ops, What-If, Capacity) - 3-Layer Availability Limit Model (4.00 to 6.65 nines) - AI-powered analysis with remediation recommendations - DORA compliance report generation - Terraform/Prometheus integration - Plugin system for custom scenarios
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Hey HN! I’m the founder of Unify, and we’ve just released our Model Hub, which provides a collection of LLM endpoints with live runtime benchmarks all plotted across time: https://unify.ai/hub A key finding is that static tabular runtime benchmarks for LLMs simply do not work. It’s necessary to take a time-series perspective, and plot the variations through time. We currently have 21 models provided by: Anyscale, Perplexity AI, Replicate, Together AI, OctoAI, Mistral AI and OpenAI, with more on the roadmap. We test across different regions (Asia, US, Europe), with varied…
- OSOpen-source real time data framework for LLM applications2024 · getindexify.ai · ▲92
Hey HN, I am the founder of Tensorlake. Prototyping LLM applications have become a lot easier, building decision making LLM applications that work on constantly updating data is still very challenging in production settings. The systems engineering problems that we have seen people face are - 1. Reliably process ingested content in real time if the application is sensitive to freshness of information. 2. Being able to bring in any kind of model, and run different parts of the pipeline on GPUs and CPUs. 3. Fault Tolerance to ingestion spike, compute infrastructure failure. 4. Scaling compute,…
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