Dynatrace

DECEMBER 9, 2020

Dynatrace is fully committed to the OpenTelemetry community and to the seamless integration of OpenTelemetry data , including ingestion of custom metrics , into the Dynatrace open analytics platform. With Dynatrace OneAgent you also benefit from support for traffic routing and traffic control.

Java 222

Java Traffic Strategy Architecture 222

Dynatrace

APRIL 13, 2023

As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging. for example, collate which and how many Java applications were attacked) Did we lose any critical data? Incomplete. Skills and expertise.

Analytics 175

Analytics Java Infrastructure Cloud 175

The Netflix TechBlog

MARCH 10, 2023

Existing data got updated to be backward compatible without impacting the existing running production traffic. Data Sharding strategy in elasticsearch is updated to provide low search latency (as described in blog post) Design of new Cassandra reverse indices to support different sets of queries.

Media 237

Media Traffic Processing Design 237

The Netflix TechBlog

SEPTEMBER 8, 2020

Over the course of this post, we will talk about our approach to this migration, the strategies that we employed, and the tools we built to support this. service with a composable JavaScript API that made downstream microservice calls, replacing the old Java API. Java…Script? It was a Node.js Replay Testing Enter replay testing.

Latency 233

Latency Cache Java Traffic 233

The Netflix TechBlog

OCTOBER 19, 2020

Our tactical approach was to use Netflix-specific libraries for collecting traces from Java-based streaming services until open source tracer libraries matured. We chose Open-Zipkin because it had better integrations with our Spring Boot based Java runtime environment. Employ better compression technique to reduce trace data size.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

MAY 15, 2019

Updated sliding time-frame window for custom metrics. Until now we had a sliding window of 28 days for custom metrics, which meant that you could consume unique metrics up to your licensed quota within a time frame of 28 days. This also meant that you had to wait 28 days until you could start collecting new metrics.

Storage 102

Storage Metrics Strategy Java 102

The Netflix TechBlog

JUNE 14, 2023

The three strategies we will discuss today are AB Testing , Replay Testing, and Sticky Canaries. A single API team maintained both the Java implementation of the Falcor framework and the API Server. So, we relied on higher-level metrics-based testing: AB Testing and Sticky Canaries.

Traffic 353

Traffic Latency Cache Metrics 353