Operations | Monitoring | ITSM | DevOps | Cloud

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.

Open source monitoring and observability tools can be found in production all over the world – whether they’re being used by startups or entire enterprise development teams. DevOps, ITOps, and other technical teams rely on tools like Prometheus, Grafana, OpenSearch, OpenTelemetry, Jaeger, Nagios, Zabbix, Graphite, InfluxDB, and others to monitor and troubleshoot their cloud environment.

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.

In my work as a technical evangelist at Cribl, I regularly talk to companies seeing annual data growth of 45%, which is unsustainable given current data practices. How do you cost effectively manage this flood of data while generating business value from critical data assets?

Observability is a measure of how well we are able to infer the internal state of our application from its external outputs. It’s an important measure because it indirectly tells us how well we’d be able to troubleshoot problems that will inevitably arise in production. It’s been one of the hottest buzzwords in the cloud space for the last 5 years and the marketplace is swamped with observability vendors. Different tools employ different methodologies for collecting data.

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.