Operations | Monitoring | ITSM | DevOps | Cloud

Software testing plays a crucial role in ensuring that applications function correctly and meet user expectations. In this blog, we will explore the fundamental aspects of software testing, including its importance, types, and the lifecycle phases involved.

Today, businesses are increasingly reliant on their ability to provide uninterrupted service and respond swiftly to any disruptions. Whether it's a website outage, a malfunctioning application, or hardware failure, downtime can significantly affect a company's operations. Customers expect quick resolutions, and delays can result in dissatisfaction, loss of trust, and ultimately, business failure.

Check out Ken Ahrens and Scott Moore as they discuss some blockers of developer productivity when building in Kubernetes, and how removing environment and data challenges can reduce toil and frustration! You can catch the full podcast on Scott’s page here: Scott Moore: Hey everybody out there in internet meme land. It’s time to hide your kids and hide your wife because it’s time for the SMC Journal podcast. Some of you will get that joke. Others will not.

In blog one of this series, we discussed how orchestration is about data. In blog two, we talked about how effective orchestration with advanced data management techniques can be used to develop a digital twin. In this blog, we will discuss what we can do with all that data. More specifically, we’ll take a look at using data-empowered RAG AI to deliver stateful orchestration.

I've been in the observability market long before it even had that name. Over the years, observability has undergone a significant transformation. As someone who has witnessed these changes firsthand, I can attest to the dynamic nature of this field. In the early days, it was largely about basic monitoring: tracking system metrics, lots of logs, and simple alerts.

Azure App Registration is registering an application with Azure Entra ID to access the required Azure resources securely.

Implementing a monitoring solution is no small task; with your company's data growing, it can feel impossible. Often, small teams develop their own monitoring infrastructure because it is more cost-effective than a platform. But when your business grows, your data does, too. Monitoring can quickly become a bigger challenge than a small team can handle, and some companies need more resources to hire a developer dedicated to their monitoring.

This article shares our experience migrating from the AWS Cluster Auto Scaler to Karpenter. We provide an overview of the steps we took to install Karpenter. This article is the first in a series dedicated to Karpenter. In future posts, we will cover other aspects of using Karpenter.