Microservices are the future of software development. This approach serves as a server-side solution to development where services remain connected but work independently from each other. More developers are using microservices to improve performance, precision, and productivity, and analytical tools provide them with valuable insights about performance and service levels.
In this article, we are going to look at Microservice architectures, their benefits, what makes them different from traditional monolithic architectures, and how to go about setting up monitoring and alerting for them. MetricFire is a Hosted Graphite, Grafana, and Prometheus service, where we help you set up and manage these open-source tools. If you would like to follow the steps in this blog, make sure to sign up for MetricFire's free trial and even book a demo session.
When it comes to conversations around application architecture or working with integrations between applications, you’ve likely heard a couple terms pop up a few times: microservice and APIs. You might also have run across the common misconception that microservices are just a way to implement APIs so they can communicate with each other. As you’ll see in this article, there are alternative ways to architect our microservice applications.
In this episode of Coffee & Containers, North American DevOps Group‘s Jim Shilts speaks with Shipa‘s Bruno Andrade and Fiserv‘s Ken Owens. The topics covered include.
At LogicMonitor, we deal primarily with large quantities of time series data. Our backend infrastructure processes billions of metrics, events, and configurations daily. In previous blogs, we discussed our transition from monolith to microservice. We also explained why we chose Quarkus as our microservices framework for our Java-based microservices. In this blog we will cover.
