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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 233
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Bending pause times to your will with Generational ZGC

The Netflix TechBlog

If you’re interested in how we use Java at Netflix, Paul Bakker’s talk How Netflix Really Uses Java , is a great place to start. That’s particularly true of our GRPC clients and servers, where request cancellations due to timeouts interact with reliability features such as retries, hedging and fallbacks.

Latency 228
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TCP: Out of Memory — Consider Tuning TCP_Mem

DZone

You may also like: Java Out of Memory Heap Analysis. The application was running on a GNU/Linux OS, Java 8, Tomcat 8 application server. All other application instances were handling the traffic properly. Proxy Error The proxy server received an invalid response from an upstream server.

Tuning 164
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Why PostgreSQL Is a Top Choice for Enterprise-level Databases

Percona

PostgreSQL supports sharding, which allows data to be distributed across multiple servers, making it ideal for high-traffic websites and applications. It has a proven track record of handling large volumes of data and high-traffic websites. Reliability PostgreSQL is known for its reliability and stability.

Database 118
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The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Dynatrace

Think about items such as general system metrics (for example, CPU utilization, free memory, number of services), the connectivity status, details of our web server, or even more granular in-application tasks like database queries. Let’s click “Apache Web Server apache” now.

Metrics 171
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The Speed of Time

Brendan Gregg

Since instances of both CentOS and Ubuntu were running in parallel, I could collect flame graphs at the same time (same time-of-day traffic mix) and compare them side by side. There's no Java stack—there should be a tower of green Java methods—instead there's only a single green frame or two. us on Centos and 0.68

Speed 126
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The Speed of Time

Brendan Gregg

Since instances of both CentOS and Ubuntu were running in parallel, I could collect flame graphs at the same time (same time-of-day traffic mix) and compare them side by side. There's no Java stack—there should be a tower of green Java methods—instead there's only a single green frame or two. us on Centos and 0.68

Speed 40