apm

Python: New Relic Agent for Gunicorn app deployed on Kubernetes

Gunicorn is a WSGI HTTP server commonly used to run Flask applications in production. If you are running these types of workloads on a production Kubernetes cluster, you should consider an observability platform such a New Relic to ensure availability, service levels, and visibility into transactions and logging. In a series of previous articles, we Python: New Relic Agent for Gunicorn app deployed on Kubernetes

CloudFoundry: Monitoring the spring-music webapp, Part 5

Cloud Foundry is an opinionated Platform-as-a-Service that allows you to manage applications at scale. This article is part of a series that explores different facets of a Cloud Foundry deployment using the spring-music project as an example. This article is Part 5 of  a series on Cloud Foundry concepts: Deploying the spring-music webapp, Part 1 Persisting spring-music data CloudFoundry: Monitoring the spring-music webapp, Part 5

CloudFoundry: Exploring Cloud Foundry using the spring-music application

Cloud Foundry is an opinionated Platform-as-a-Service that allows you to manage applications at scale.  It supports multiple infrastructure platforms (EC2, VMware, OpenStack), and is able to standardize deployment, logging,  scaling, and routing in a way that is friendly to a continuous delivery pipeline. In this series of articles, we will use the spring-music web application CloudFoundry: Exploring Cloud Foundry using the spring-music application

AppDynamics: Java Spring PetClinic and PostgreSQL configured for monitoring

As an exploration of AppDynamics’ APM functionality, you may find it useful to deploy a sample application that can quickly return back useful data.  The Java Spring PetClinic connecting back to a PostgreSQL database provides a simple code base that exercises both database and application monitoring. In a previous article, I went over the detailed AppDynamics: Java Spring PetClinic and PostgreSQL configured for monitoring

AppDynamics: Java Spring PetClinic and MySQL configured for monitoring

As an exploration of AppDynamics’ APM functionality, you may find it useful to deploy a sample application that can quickly return back useful data.  The Java Spring PetClinic connecting back to a MySQL database provides a simple code base that exercises both database and application monitoring. We’ll deploy the Java Spring PetClinic unto Tomcat running AppDynamics: Java Spring PetClinic and MySQL configured for monitoring