Computer science is crucial to our lives today, and programming languages play a fundamental role. These languages act as a programmer’s toolbox. However, choosing a language can be challenging, especially when deciding between the two most popular options. These options include Java and Python. Java and Python are widely used as general-purpose programming languages for desktop and web applications. There are many similarities when comparing the two, but there are also significant differences.

A little over a year ago, we announced a partnership with DigitalOcean to make it easier for users to add log management and monitoring for applications running in DigitalOcean Droplets (VMs). Since then, we’ve created a DigitalOcean Marketplace Listing, provided a direct link to the signup page, and shared many ideas on how to use SolarWinds® Papertrail™ to troubleshoot and optimize applications running in DigitalOcean Droplets.

For DevOps teams, delivering quality software has long required reconciling a major tension: In a perfect world, you’d catch every issue in each new release of your application before you deployed the release into production. But in the real world, doing so is tricky, not least because it’s hard to collect data about application performance before the application is actually deployed.

In the present age of cloud-native everything, it can be easy to forget that some applications still run on-premises. But they do and managing the performance of on-premises apps is just as important as monitoring those that run in the cloud. With that reality in mind, here’s a primer on how to approach on-premises application performance monitoring as part of a broader cloud-native performance optimization strategy.

The Java Message Service API (JMS) was developed by Sun Microsystems in the days of Java EE. The JMS API provides us with simple messaging abstractions including Message Producer, Message Consumer, etc. Messaging APIs let us place a message on a “queue” and consume messages placed into said queue. This is immensely useful for high throughput systems – instead of wasting user time by performing a slow operation in real-time, an enterprise application can send a message.

One of the first things you’ll learn when you start managing application performance in Kubernetes is that doing so is, in a word, complicated. No matter how well you’ve mastered performance monitoring for conventional applications, it’s easy to find yourself lost inside a Kubernetes cluster.

Most organizations today have a large digital presence, and some rely significantly on their web applications to provide value to their customers and generate income. Keeping your website up and running 24/7 isn't enough in today's digital world. To provide a better experience, you should optimize your web pages frequently. Slow-loading pages or those that aren't mobile-friendly might cause an increase in bounce rate as well as influence your search engine rankings.

In Part 1 of this series, we started to compare the uses of Kafka and MQTT within an IoT infrastructure. It was concluded that in a basic publish-and-subscribe model of an IoT device, Kafka might simply be overkill.

by Sam Fell, VP, Product Marketing, Observability, Sumo Logic I love technology, and I’m thrilled to work in a profession where I’m steeped in it! In my career as a developer, consultant and marketeer I've learned it’s not “the cool new tech stack” that helps win the day.