This is ideal for cases where the traffic spikes are relatively frequent (prime time traffic) but the storage can eventually catch up once the traffic normalizes. Consider using Apache Kafka as intermediate bufferĪs a buffer between jaeger-collector and the actual backing storage (Elasticsearch, Apache Cassandra). This is typically accomplished by having one jaeger-agent per bare metal host for traditional applications, or as a sidecar in container environments like Kubernetes, as this helps spread the load handled by jaeger-agents with the additional advantage of allowing each jaeger-agent to be tweaked individually, according to the application’s needs and importance. Jaeger-agent is meant to be placed on the same host as the instrumented application, in order to avoid UDP packet loss over the network. Place the Agents close to your applicationsĪnd the OpenTelemetry SDKs are phasing out support for Jaeger Thrift format, the jaeger-agent is no longer required or recommended. When the histogram shows that most spans are taking longer and longer over time, it’s a good indication that your storage might need some attention. Ideally, the latency should remain the same over time. To help diagnose this situation, the histogram jaeger_collector_save_latency_bucket can be analyzed. When the storage is too slow, the number of workers blocked by the storage might be too high, causing spans to be dropped. Make sure the storage can keep upĮach span is written to the storage by jaeger-collector using one worker, blocking it until the span has been stored. Scaling horizontally is also indicated when the CPU usage should be spread across nodes. When the queue latency gets higher over time, it’s a good indication to increase the number of the workers, or to improve the storage performance.Īdding jaeger-collector instances is recommended when your platform provides auto-scaling capabilities, or when it’s easier to start/stop jaeger-collector instances than changing existing, running instances. Another metric that can be taken into consideration is jaeger_collector_in_queue_latency_bucket, which is a histogram indicating how long spans have been waiting in the queue before a worker picked it up. A good way to scale up and down is by checking the jaeger_collector_queue_length metric: add instances when the length is higher than 50% of the maximum size for extended periods of time. Use the auto-scaling capabilities of your platform: jaeger-collector is nearly horizontally scalable so that more instances can be added and removed on-demand. Deployment considerationsĪlthough performance tuning the individual components is important, the way Jaeger is deployed can be decisive in obtaining optimal performance. However, the defaults might not fit all scenarios. When more spans are generated than Jaeger is able to safely process, spans might get dropped. To better utilize resources that might cause delays, such as storage or network communications, Jaeger buffers and batches data. Jaeger was built from day 1 to be able to ingest huge amounts of data in a resilient way. Try viewing your applet again.Version 1.49 Click here for the latest version Open the Java Control Panel and delete temporary internet files. You may be viewing a previously cached version of the applet.When I reload the applet's web page, my fixes are not showing up. Problem: I fixed some bugs and re-built my applet's source code. Check the minimumVersion parameter of the runApplet function in the applet's web page. The applet may require a later version of the Java Runtime Environment software than the version that currently exists on the client. The applet on the web page is most likely deployed using the Deployment Toolkit script.Problem: When I try to load a web page that has an applet, my browser redirects me to without any warning The browser most likely has a lock on the JAR file, because of which the build process is unable to regenerate the JAR file. Close your browser and run the build again.Problem: I was able to build the code once, but now the build fails even though there are no compilation errors. Make sure the applet's JAR file, JNLP file, and web page are located in the correct directory and reference each other accurately.If launching using a JNLP file, check the path in the jar tag in the JNLP file.If deploying using the tag, check that the path to the applet JAR file is specified accurately in the archive attribute.Make sure your Java source files compiled correctly.Check the JavaScript syntax if deploying using the runApplet function of the Deployment Toolkit.Incorrect JNLP files are the most common reason for failures without obvious errors. Check the syntax of the applet's Java Network Launch Protocol (JNLP) file.After each problem is a list of possible reasons and solutions. This section covers some common problems that you might encounter when writing Java applets.
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