Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

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.

Hey Civo users, at Gimlet, we think that best practices in the Kubernetes ecosystem have solidified so much, that they can be packaged into tools, so that you don't have to make nuanced decisions every corner. This is what we have been doing with our CLI tools, and nowdays doing with the Gimlet Dashboard! We have been following Civo for over a year now and see how much the Gimlet team shares the Civo community's spirit.

Now that development teams know about CI/CD, there is no reason for deployments to become a time-consuming and cumbersome process. CI/CD may start with continuous testing, but adding automated deployments takes your CI/CD practice to the next level. Continuous deployment slashes the time it takes to release so you can spend more time improving the quality of your applications.

Shopify downtime can be a real risk to your business. It can cause you unprecedented losses. For example, it can prevent clients from accessing your ecommerce store. Anytime you experience situations like slow browsing or outage, it’s crucial to act swiftly to troubleshoot the issues and fix them. How should you go about it? In this article, we will.

With the rising complexity of our digital ecosystems, incidents are occurring at an unprecedented rate. To combat the additional strain, incident responders are looking to software to help them establish a scalable, repeatable incident response process that reduces toil and noise and gets the right people on the scene at the right time. The best incident response software addresses the entire lifecycle of an incident.

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.

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.