Operations | Monitoring | ITSM | DevOps | Cloud

In the software lifecycle, you need to know what is affecting the customer from your frontend code to your underlying infrastructure. However, no one to date has solved for monitoring the health of software code vs. systems at the level that we have taken on — or at the scale that our customers require, as everything from grocery shopping to gaming is now digital.

Thanks to 2020, many of us don't remember the last time we took a holiday or vacation. If you were able to get away from the office, kudos to you. Hopefully, 2021 will be kinder to us, and we can take some time to recharge. Whether you're a veteran DBA standing watch over million-dollar, mission-critical database systems or a jack-of-all-trades who maintains your organization's SQL Servers, Windows Servers, and all the other corporate IT assets, everyone deserves to take a relaxing holiday.

A targeted approach to improving users’ browser experiences while minimizing the impact on IT As today’s modern IT estates see an exponential increase in the use of SaaS-based applications year-over-year, many of those applications are being accessed through the browser. The ability to manage browser usage, data, and synchronization has become critical to positive experiences for local, mobile, and remote users.

In this How-To, we’re going to look at a specific Catchpoint synthetic monitor that helps you analyze the health of systems built around the Internet of things (IoT). Now, IoT is obviously a huge category, so in this case, we’re going to look at systems that utilize the Message Queuing Telemetry Transport or MQTT for short.

There are multiple ways to interact programatically with Icinga. Last week Henrik demonstrated how to connect to the Icinga 2 API through the Icinga 2 Console. Working with the Icinga 2 API is probably the most obvious way to interact with Icinga. Still, I would like to suggest to you another option: How you can fetch data from Icinga Web.

It’s easy to get started with Java and Honeycomb using OpenTelemetry. With Honeycomb being a big supporter of the OpenTelemetry initiative, all it takes is a few parameters to get your data in. In this post, I will walk through setting up a demo app with the OpenTelemetry Java agent and show how I was able to get rich details with little work by combining automatic instrumentation from the agent with custom instrumentation in the code.