monitoring

Set up JDK Mission Control with Red Hat Build of OpenJDK

Set up JDK Mission Control with Red Hat Build of OpenJDK

JDK Mission Control is now the newest member of the Red Hat Software Collections (RHSCL). JDK Mission Control is a powerful profiler for HotSpot Java virtual machines (JVMs) and has an advanced set of tools that enable efficient and detailed analysis of the extensive data collected by JDK Flight Recorder. The toolchain enables developers and administrators to collect and analyze data from Java applications running locally or deployed in production environments using OpenJDK 11.

In this article, I will go through a primary example of setting up JDK Mission Control. For Linux, JDK Mission Control is part of the RHSCL and, for Windows, it is available as part of the OpenJDK zip distribution on the Red Hat Customer Portal.  For Linux, these instructions assume that Red Hat Build of OpenJDK 11 is already installed. I will show how to set up the system to install software from RHSCL, which provides the latest development technologies for Red Hat Enterprise Linux. Then, I will install the JDK Mission Control and run a simple sample application. The whole tutorial should take fewer than 10 minutes to complete.

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Monitoring Node.js Applications on OpenShift with Prometheus

Monitoring Node.js Applications on OpenShift with Prometheus

Observability is Key

One of the great things about Node.js is how well it performs in a container. Its fast start up time, and relatively small size make it a favorite for microservice applications on OpenShift. But with this shift to containerized deployments comes some complexity. As a result, monitoring Node.js applications can be difficult. At times it seems as though the performance and behavior of our applications become opaque to us. So what can we do to find and address issues in our services before they become a problem? We need to enhance observability by monitoring the state of our services.

Instrumentation

Instrumentation of our applications is one way to increase observability. Therefore, in this article, I will demonstrate the instrumentation of a Node.js application using Prometheus.

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Monitoring Red Hat AMQ 7 with the jmxtrans Agent

Monitoring Red Hat AMQ 7 with the jmxtrans Agent

Monitoring Red Hat AMQ 7

Red Hat AMQ 7 includes some tools for monitoring the Red Hat AMQ broker. These tools allow you to get metrics about the performance and behavior of the broker and its resources. Metrics are very important for measuring performance and for identifying issues that are causing poor performance.

The following components are included for monitoring the Red Hat AMQ 7 broker:

  • Management web console that is based on Hawtio: This console includes some perspectives and dashboards for monitoring the most important components of the broker.
  • A Jolokia REST-like API: This provides full access to JMX beans through HTTP requests.
  • Red Hat JBoss Operation Network: This is an enterprise, Java-based administration and management platform for developing, testing, deploying, and monitoring Red Hat JBoss Middleware applications.

These tools are incredible and fully integrated with the original product. However, there are cases where Red Hat AMQ 7 is deployed in environments where other tools are used to monitor the broker, for example, jmxtrans.

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Monitoring RHGS

Monitoring RHGS

OK so you watched:

https://www.redhat.com/en/about/videos/architecting-and-performance-tuning-efficient-gluster-storage-pools

You put in the time and architected an efficient and performant GlusterFS deployment. Your users are reading and writing, applications are humming along, and Gluster is keeping your data safe.

Now what?

Well, congratulations you just completed the sprint! Now its time for the marathon.

The often forgotten component of performance tuning is monitoring, you put in all that work up front to get your cluster performing and your users happy, now how do you ensure that this continues and possibly improves? This is all done through continued monitoring and profiling of your storage cluster, clients, and a deeper look at your workload. In this blog we will look at the different metrics you can monitor in your storage cluster, identify which of these are important to monitor, how often to monitor them, and different ways to accomplish this.

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Six popular incident management tools for Red Hat Enterprise Linux

From a developer’s perspective, “incident management” can be a pretty ambiguous term. While the first thing that comes to mind is receiving and responding to alerts, most IT professionals know it is so much more than that. Effective incident management starts with data collection and continues through alerting, escalation, collaboration, and resolution. At the server level, the most important pieces of incident management are infrastructure monitoring and log management, the vast majority of which are easily configurable on a Red Hat Enterprise Linux system.

When it comes to incident management tools, they can be grouped into two separate categories depending on the security requirements of your organization: internal and external.

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LTTng Packages now Available for Red Hat Enterprise Linux 7

EfficiOS is pleased to announce it is now providing LTTng packages for Red Hat Enterprise Linux 7, available today as part of its Enterprise Packages portal.

EfficiOS specialises in the research and development of open source performance analysis tools. As part of its activities, EfficiOS develops the Linux Tracing Toolkit: next generation for which it provides enterprise support, training and consulting services.

What is tracing?

Tracing is a technique used to understand the behaviour of a software system. In this regard, it is not far removed from logging. However, tracers and loggers are designed to accommodate very different use cases.

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