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Unlock end-to-end observability insights with Dynatrace PurePath 4 seamless integration of OpenTracing for Java

Dynatrace

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 239
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Migrating Netflix to GraphQL Safely

The Netflix TechBlog

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. To determine customer impact, we could compare various metrics such as error rates, latencies, and time to render.

Traffic 353
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Data Reprocessing Pipeline in Asset Management Platform @Netflix

The Netflix TechBlog

Existing data got updated to be backward compatible without impacting the existing running production traffic. After reading the asset ids using one of the ways, an event is created per asset id to be processed synchronously or asynchronously based on the use case. Generally, this flow is used for small datasets.

Media 237
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Seeing through hardware counters: a journey to threefold performance increase

The Netflix TechBlog

We decided to move one of our Java microservices?—?let’s A quick canary test was free of errors and showed lower latency, which is expected given that our standard canary setup routes an equal amount of traffic to both the baseline running on 4xl and the canary on 12xl. The problem It started off as a routine migration.

Hardware 363
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Kubernetes OOMKilled troubleshooting: Diagnosing out-of-memory issues automatically

Dynatrace

Each tenant gets its own e-commerce site deployed on a shared Kubernetes cluster, isolated through separate namespaces and additional traffic isolation. There was not much traffic during the weekend, but as Monday came along, Dynatrace started sending alerts about a high HTTP failure rate across almost every tenant on the backend service.

Java 196
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Log auditing and log forensics benefit from converging observability and security data

Dynatrace

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 190
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Unlock the observability value of log data with processing at scale

Dynatrace

Even worse, if your service logs record critical events such as errors in a non-standard way, those errors might go unnoticed by your observability team. Whether a web server, mobile app, backend service, or other custom application, log data can provide you with deep insights into your software’s operations and events.