Operations | Monitoring | ITSM | DevOps | Cloud

Choosing between blade servers or those intended to go installed in a rack is a small headache that is repeated daily in the complex minds of technicians around the world. What configuration to choose? What can best serve my installation? These are questions that are repeated while they pull out their silvery and silky hairs.

Application performance monitoring (APM) and logging both provide critical insight into your ecosystem. When paired together with context, they can provide vital clues on how to resolve problems with your applications. As the log data you analyze becomes more complex, navigating to the relevant pieces can be tricky using traditional tools. With Elastic Observability (powered by the Elastic Stack), correlating logs with APM is as simple as a few clicks in Kibana.

At Stackify, we’re all about helping you improve your application’s performance. We have actually developed two code profilers ourselves. Because of that, we like to think we know a thing or two about code profiling. Today I want to talk about the three different types of code profilers, describe the differences between them, and recommend some tools for your toolbox.

Today we’re pleased to announce the general availability of InfluxDB Enterprise on Microsoft’s Azure Marketplace. We’ll dive into all of these below, but first, let’s take a step back in case you’re not familiar with time series databases. If you’re looking for a time series database, here are three things to look for.

Ever since the work from home (WFH) and study from home (SFH) initiatives became widespread due to the outbreak of COVID-19, there has been a huge effort among organizations to either set up new broadband connections or upgrade existing connections with higher bandwidth speeds. No matter the number of command centers an internet service provider (ISP) might have, keeping up with users’ demands—whether it’s about network speed or volume—can be a colossal undertaking.

Week after week, developers work tirelessly to publish updates that improve the stability of their mobile applications, so people like me can rely on our phones for work, play, and even occasional childcare. So to all those on a bug fix rotation right now: thank you. Unfortunately, my appreciation isn’t actually a great indicator of a release’s success. Developers are looking to Sentry to provide insights like version adoption, crash-free sessions, crash-free users, etc.

In some scenarios, you might want to have the possibility to get notified if all of a sudden, a large volume of alerts get raised inside Operations Manager. It could be that a large amount of alerts gets raised with low severity that usually isn't a problem on an individual occurrence. Maybe a VMware datastore latency alert is configured as a warning because they might fire off during backup windows. But what if all of the datastores all of a sudden indicates there is a latency issue and raises an alert.

We are delighted to announce the latest versions of our Azure and SCOM products. In this blog I’ll share the highlights of what’s new, including an update to Open Access which is now available in both Light and Dark themes! This unprecedented time has changed our ways of working at SquaredUp. Everyone has settled into the rigors of working from home and our Product Engineering teams have done an outstanding job with version 4.6.

Computing environments are constantly changing. Back when an on-premises server hosted your work, your infrastructure and applications were easy to track. Now that you’re developing in the cloud, things are more challenging. You’re learning that each team within your organization uses a different monitoring tool. At this point, you may be wondering if it’s time to build your own monitoring solution with open source tools at its core that everyone can use.