Dana Fridman is a design guru. Her contributions to UX at Logz.io are unmatched, and her input on upcoming updates to our app’s UI will be an achievement. But her portfolio is getting more than just Logz.io projects right now. As part of her work here, she is also making her mark on Jaeger. You see, Dana is the major design contributor to the open source Jaeger project. Open source contributions tend to be backend-focused and the domain of developers.

Today, I’m excited to officially announce our support for the OpenSearch project, the new fork of the Elasticsearch and Kibana codebases. As we previously shared, Logz.io has the utmost commitment to its customers and the community to ensure that these open-source technologies will prosper by being built for the community and guided by the community.

Logz.io has pressed hard to align our tracing and metrics analytics capabilities over the past year. And as our technology advances, so does our service. We are announcing Multiple Tracing Accounts with Logz.io Distributed Tracing, aligning it with our logging and metrics tools. Complementing multiple data sources for metrics and logs, Logz users can segment their data according to sources and teams for better organization.

A big topic of interest nowadays is web application monitoring. Application performance monitoring and log analytics are required by businesses of all sizes to ensure their web applications’ smooth operation. If your application serves as the backend for your business processes, it is critical for your organization. You need to know, in real-time, when and why it breaks. To answer these questions, we will use Logz.io products to monitor a simple web application served by Nginx.

Metrics Explore is the Logz.io feature for deep dives into Prometheus metrics. Similar to Kibana Discover, it allows for easy querying, pull-down list selections, and other ways to navigate your data. Best yet, you can explore important metadata for detailed metric analysis. There are a few ways to move around the metrics in your system. Get started by finding the Explore icon on the left-hand menu.

Logz.io is focused on creating the best observability service to manage the scale of monitoring, add value on top of AI/ML technologies, and enhance enterprise security. Metrics is one of the pillars of Logz.io, and our Prometheus-as-a-Service offering. It has been a crucial part of our platform goals, but if we turn the clocks back a year, our service only used the open-source Elasticsearch database (ES).

Software companies are in a constant pursuit to optimize their delivery flow and increase release velocity. But as they get better at CI/CD in the spirit of “move fast and break things,” they are also being forced to have a very sobering conversation about “how do we fix all those things we’ve been breaking so fast?” As a result, today’s cloud-native world is fraught with production errors, and in dire need of observability.

In a previous post I explained how to send metrics to Logz.io Infrastructure monitoring with Prometheus—now let’s analyze them by building Prometheus dashboards and visualizations in our metrics UI! Once you’ve started to send metric data to Logz.io, how do you visualize and interpret that data so that it’s useful for you? Logz.io Infrastructure Monitoring provides powerful querying and visualization of your data.

This Logz.io Infrastructure Monitoring tutorial will cover how to get started with our latest product, our new Prometheus-as-a-Service metrics solution that’s based on Prometheus. Engineers monitor metrics to understand CPU and memory utilization for infrastructure, duration and serverless execution, or for network traffic. For more advanced metrics monitoring operations, teams can send custom metrics to monitor signals like the number of active users.

Today, Logz.io is thrilled to announce that Prometheus-as-a-service is now generally available for anyone to try themselves! I’d like to thank the Logz.io village for executing a huge milestone on our quest to unify the best open source monitoring tools on Logz.io’s scalable cloud platform.