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Observability engineering: Getting Prometheus metrics right for Kubernetes with Dynatrace and Kepler

Dynatrace

This challenge has given rise to the discipline of observability engineering, which concentrates on the details of telemetry data to fine-tune observability use cases. This covers the infrastructure, processes, and the application stack, including tracing, profiling, and logs. Labels we don’t need. Observability engineering success!

Metrics 169
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Celebrating game-changing partnerships with the Dynatrace Amplify 2022 Partner Awards

Dynatrace

We covered it all from cloud observability , infrastructure , application security , and beyond. Innovation is at the heart of success, and no one knows that more than our winner of the LATAM Cloud Innovation Award – Netjer Networks. Stay tuned as we announce the winners of our APAC awards over the coming days!

Games 197
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A case for managed and model-less inference serving

The Morning Paper

Model variants can be created by methods such as model compression, knowledge distillation, tuning of hyperparameter values, varying precision, optimising for different batch sizes, and so on. We’d like to pack models as efficiently as possible on the underlying infrastructure.