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Catching up with OpenTelemetry in 2025

Dynatrace

OpenTelemetry is enhancing GenAI observability : By defining semantic conventions for GenAI and implementing Python-based instrumentation for OpenAI, OpenTel is moving towards addressing GenAI monitoring and performance tuning needs. The Collector is expected to be ready for prime time in 2025, reaching the v1.0

Tuning 310
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Dynatrace + Metis: Helping developers & SREs solve Database issues with AI

Dynatrace

Site Reliability Engineers (SREs) also face significant challenges in maintaining database reliability, ensuring performance, and preventing disruptions in highly dynamic and distributed environments. Why this matters Databases are the backbone of modern applications, but they can also be a major source of performance bottlenecks.

Database 306
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Optimizing data warehouse storage

The Netflix TechBlog

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 209
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Introducing Impressions at Netflix

The Netflix TechBlog

The enriched data is seamlessly accessible for both real-time applications via Kafka and historical analysis through storage in an Apache Iceberg table. Automating Performance Tuning with Autoscalers Tuning the performance of our Apache Flink jobs is currently a manual process.

Tuning 165
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Speed Trino Queries With These Performance-Tuning Tips

DZone

An open-source distributed SQL query engine, Trino is widely used for data analytics on distributed data storage. In this article, we will show you how to tune Trino by helping you identify performance bottlenecks and provide tuning tips that you can practice. But how do we do that?

Tuning 162
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Notes on tuning postgres for cpu and memory benchmarking

n0derunner

Recently I wanted to measure the impact of NUMA placement and Hugepages on the performance of postgres running in a VM on a Nutanix node. To do this I needed to drive postgres to do real transactions but have very little jitter/noise from the filesystem and storage.

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Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

This counting service, built on top of the TimeSeries Abstraction, enables distributed counting at scale while maintaining similar low latency performance. After selecting a mode, users can interact with APIs without needing to worry about the underlying storage mechanisms and counting methods.

Latency 248