Turbonomic Blog

Azure Monitor Logs is a feature of Azure Monitor that collects and organizes log and performance data from monitored resources. Azure Log Analytics is a tool in the Azure portal used to edit and run log queries with data in Azure Monitor Logs. Many Microsoft Azure customers use Azure Log Analytics to capture performance metrics, such as CPU usage and Memory usage.

Spring WebFlux introduces reactive web development to the Spring ecosystem. This article will get you started with reactive systems and reactive programming with Spring. First you'll find out why reactive systems are important and how they're implemented in Spring framework 5, then you'll get a hands-on introduction to building reactive services using Spring WebFlux. We'll build our first reactive application using annotations. I'll also show you how to build a similar application using Spring's newer functional features.

Spring MVC is the Spring framework's traditional library for building Java web applications. It is one of the most popular web frameworks for building fully functional Java web applications and RESTful web services. In this tutorial, you'll get an overview of Spring MVC and learn how to build Java web applications using Spring Boot, Spring Initializr, and Thymeleaf.

The first half of this article presented an overview of serverless computing with AWS Lambda, including building, deploying, and testing AWS Lambda functions in an example Java application. In Part 2, you'll learn how to integrate Lambda functions with an external database, in this case DynamoDB. We'll then use the AWS SDK to invoke Lambda functions from our example Java application.

Serverless computing may be the hottest thing in cloud computing today, but what, exactly, is it? This two-part tutorial starts with an overview of serverless computing--from what it is, to why it's considered disruptive to traditional cloud computing, and how you might use it in Java-based programming.

You received your first cloud bill and nearly passed out - wasn’t the cloud supposed to be cheaper than hosting workloads on your own hardware?

Jenkins is one of the most popular open-source continuous integration and continuous delivery servers available today. It began as a product called Hudson, developed at Sun Microsystems in 2004-2005, before it was forked from Hudson and renamed Jenkins in 2011, as the result of a dispute between the Hudson community and Oracle. Kohsuke Kawaguchi, the creator of Hudson/Jenkins became the Chief Technical Officer for Cloudbees in 2014 and Cloudbees now commercially offers Jenkins as a cloud solution.

Continuous integration made integration a non-issue and brought us to the point where we always have a set of working and tested code that is ready to be deployed to production. Continuous Delivery and Continuous Deployment take the next step.

The DevOps world has matured dramatically in the past few years, enabling us to reduce development release cycles and iterate much more quickly, which has led to more rapid feature delivery and innovation. Over a decade ago we were introduced to a development practice called Continuous Integration, in which a server application automated the task of checking source code out from a source code repository, building it, and testing it, when developers check in code. Continuous Integration served us well and established the foundation for the next step in automating our build and deploy process: Continuous Delivery.
This three part article series presents an overview of Continuous Integration, Continuous Delivery, and Continuous Deployment, and introduces Jenkins as a build tool that enables all three.

In our previous article, we started out with our introduction to Docker Swarm. As we left off, we have our token ready to go, so let’s start up our Swarm manager and take things from there.