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

Dynatrace

Therefore, we’re happy to announce support for OpenTracing data that’s emitted by auto- and custom-instrumentation of Java source code with Dynatrace PurePath 4, our distributed tracing and code-level analysis technology. With Dynatrace OneAgent you also benefit from support for traffic routing and traffic control.

Java 236
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

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.

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Dynatrace Application Security protects your applications in complex cloud environments

Dynatrace

Research by the Enterprise Strategy Group in 2020 shows 60% of reported breached production applications in the past 12 months involved a known and unpatched vulnerability. Dynatrace Application Security currently detects, assesses, and manages Java vulnerabilities. Stay tuned – this is only the start. Next up: node.js.

Cloud 292
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Migrating Netflix to GraphQL Safely

The Netflix TechBlog

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. Let’s discuss the three testing strategies in further detail. The Replay Tester tool samples raw traffic streams from Mantis.

Traffic 353
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Data Movement in Netflix Studio via Data Mesh

The Netflix TechBlog

CDC events can also be sent to Data Mesh via a Java Client Producer Library. It is generating heartbeat signals at a constant frequency with the objective of using them as a baseline to verify the health of the pipeline regardless of traffic patterns or occasional silences. Please stay tuned! Endnotes ¹ Inmon, Bill.

Big Data 253
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DBLog: A Generic Change-Data-Capture Framework

The Netflix TechBlog

Nonetheless, we found a number of limitations that could not satisfy our requirements e.g. stalling the processing of log events until a dump is complete, missing ability to trigger dumps on demand, or implementations that block write traffic by using table locks. Blocking write traffic by locking tables. Writing events to any output.

Database 197
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DBLog: A Generic Change-Data-Capture Framework

The Netflix TechBlog

Nonetheless, we found a number of limitations that could not satisfy our requirements e.g. stalling the processing of log events until a dump is complete, missing ability to trigger dumps on demand, or implementations that block write traffic by using table locks. Blocking write traffic by locking tables. Writing events to any output.

Database 212