Operations | Monitoring | ITSM | DevOps | Cloud

One of my initial surprises upon joining Catchpoint about five months ago was to do with how much confusion there is in the observability market. Every single vendor has almost the same message around ensuring a great digital experience for your customers or employees or both. Of course, these experiences are critical to get right, but for the most part many of these solutions, at best, help to ensure that sites are live and available, and that they are reachable by some users.

Transformation is key to being at the forefront of the tech industry, and over the past two years, I’ve been excited to lead an outstanding team of developers and engineers as we’ve embarked on evolving our monitoring tools toward observability. With this in mind, we’re excited to announce two significant product releases today. The first is a completely new product offering and subscription service we call SolarWinds® Observability.

Everyone in the information technology industry understands “change” is guaranteed. People are creative and constantly striving to find more efficient ways to solve problems and more innovative ways to deliver services to consumers. But keeping up with the constant cloud and internet technology shifts and taking advantage of all the new capabilities is a harrowing task for digital organizations.

Today, I’d like to share with you a new community-contributed integration that helps you optimize and debug your Gradle builds. This new Gradle plugin is available today, is free to use, and you can use it immediately with a free Honeycomb account.

In the recent past, container-based deployment architectures have played a significant role in improving applications on multiple fronts, including: Containers are all-inclusive packages containing lightweight services which are easy to spawn and terminate. However, container-based deployments can comprise hundreds of individual services and their replicas spinning up and down at any moment.

Logz.io is one of Logz.io’s biggest customers. To handle the scale our customers demand, we must operate a high scale 24-7 environment with attention to performance and security. To accomplish this, we ingest large volumes of data into our service. As we continue to add new features and build out our new machine learning capabilities, we’ve incorporated new services and capabilities.