openJDK-docker VS Grafana

Install OpenJDK and Java Runtime Environment (JRE) 11

Reloading is nothing new under the sun for Lisp, I believe. For ML and adequate reload-ability, one might be hard pressed, but it's nothing new under the Sun (hint, hint). Maybe too on the nose, but one probably wants good inlining, and thus more "speculative" de/optimisation to preserve redefinition.

If they don't want Oracle's Java, why can't they use a subset of OpenJDK (licensing noob here)?

I think they use a circular queue of functions that is each executed for around 100 ms. I am guessing the system timer is used to generate an interrupt that pauses execution of the current function and starts executing the next function. Apple's Java code is probably closed source. I did find mention of an openjdk here: https://openjdk.java.net. I haven't looked at the source code yet.

https://openjdk.java.net

$ yum info java-1.8.0-openjdk Available Packages Name : java-1.8.0-openjdk Arch : x86_64 Epoch : 1 Version : 1.8.0.322.b06 Release : 1.el7_9 Size : 314 k Repo : updates/7/x86_64 Summary : OpenJDK 8 Runtime Environment URL : http://openjdk.java.net/ License : ASL 1.1 and ASL 2.0 and BSD and BSD with advertising and GPL+ and GPLv2 and GPLv2 with : exceptions and IJG and LGPLv2+ and MIT and MPLv2.0 and Public Domain and W3C and zlib Description : The OpenJDK 8 runtime environment.

For the rest: -+ PIP3 & Python scripts: export REQUESTS_CA_BUNDLE=/path/to/your/certificate.pem python script.py -+ JAVA =java -D'javax.net.ssl.trustStore'="/opt/site/cacerts.JKS" .....= https://serverfault.com/questions/636612/preserve-imported-ca-certificates-through-java-upgrades/636882 https://github.com/docker-library/openjdk/issues/327 -+ Windows server https://docs.microsoft.com/en-us/troubleshoot/windows-server/identity/valid-root-ca-certificates-untrusted certutil .. root fg.cer

Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within your Nomad environment.

To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along.

Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities.

Prometheus: Open-source monitoring system. Often used together with Grafana.

Grafana

Yes I'm aware that Grafana is open source but the method I used to find the API endpoints is far quicker than digging through hundreds of files in a codebase I'm not familiar with.

So, you will add one last container to allow us to visualize this data: Grafana, an open-source analytics and visualization platform that allows us to see traces and metrics simply. You can set Grafana to read data from both Tempo and Prometheus by setting them as datastores with the following grafana.datasource.yaml config file:

In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana:

Robin switched to the Grafana dashboard tab, and sure enough, the 5xx volume on web service was rising. It had not hit the critical alert thresholds yet, but customers had already started noticing.