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DevOps-engineering, and system administration. Cases from practice.
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Third part on running LiteLLM - AI Gateway or LLM Proxy, and finally we’re getting to its monitoring.
In the first part we got familiar with LiteLLM in general (see LiteLLM: AI Gateway for LLMs – overview of features), and in the second on...
In the first part - LiteLLM: AI Gateway for LLMs - features overview we got familiar with what LiteLLM can do in general - now we can run it in Kubernetes and connect clients.
At the same time we’ll check the integration with our existing...
In the previous posts on OpenTelemetry and VictoriaTraces (see OpenTelemetry: OTel Collectors in Kubernetes and integration with the VictoriaMetrics stack and VictoriaTraces: Tracing, Observability and OpenTelemetry) we covered the general...
VictoriaTraces - just like VictoriaLogs - supports Recording Rules (see VictoriaMetrics: Recording Rules for AWS Load Balancer logs) for traces, because traces are essentially the same logs, just structured differently.
And since we have R...
On the project, we’ve gradually grown to the point where it’s time to have proper tracing - to build real observability, not just monitoring.
A long time ago I did something similar with Jaeger - a monster, and it kind of stayed in my draf...
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