Graphite provides time-series metrics in an open-source database. With Graphite dashboards, you can see key performance indicators (KPIs) as well as other metrics visually. Dashboards typically display data as graphs, charts, and tables and can be customized to meet the specific needs of an organization. Using dashboards, organizations can monitor and analyze various aspects of their performance, such as system utilization, application performance, and resource utilization, using web interfaces.

You can now use the Cloud Logging datasource plugin to view your logs in Grafana.

Wondering how to create a dashboard in Kibana to visualize and analyze your log data? In this blog post, we’ll provide a step-by-step explanation of how to create a dashboard in Kibana. You’ll learn how to use Kibana to query indexed application and event log data, filter query results to highlight the most critical and actionable information, build Kibana visualizations using your log data, and incorporate those visualizations into a Kibana dashboard.

Apache is the second most popular web server, after …., with its roots and official release going back as far as 1995. Throughout the years, it gained features, including HTTP/2, caching, and many more, while retaining its most appreciated capabilities: speed, modularity, and great stability. To fully leverage its features, you need to understand the environment, bottlenecks, traffic and user behavior. Just like with every software inside your infrastructure, Apache is no different.

Today, businesses are generating more data than ever before. However, with this data explosion comes a new set of challenges, including increased complexity, higher costs, and difficulty extracting value. With this in mind, how can organizations effectively manage this data to extract value and solve the challenges of the modern data stack?

The MongoDB document-oriented database is one of the most popular database tools available today. Developed as an open-source project, MongoDB is highly scalable and can be set up in your environment in just a few simple steps. When running and managing databases, monitoring is a key requirement.

In modern observability, Lucene is the most commonly used language for log analysis. Lucene has earned its place as a query language. Still, as the industry demands change and the challenge of observability grows more difficult, Lucene’s limitations become more obvious.

This post was originally published on the Tracetest blog. Want to run trace-based tests with Elastic APM? Today is your lucky day. We're happy to announce that Tracetest now integrates with Elastic Observability APM. Check out this hands-on example of how Tracetest works with Elastic Observability APM and OpenTelemetry! Tracetest is a CNCF project aiming to provide a solution for deep integration and system testing by leveraging the rich data in distributed system traces.

OpenSearch dashboards are a powerful tool for visualising and exploring data stored in an OpenSearch-compatible data store such as Elasticsearch. With OpenSearch's intuitive interface and advanced analytical tools, this visualisation tool makes it easy to gain insights into your data and monitor and alert upon key metrics. Throughout this article, we'll look at some of the most impressive OpenSearch dashboard examples that showcase it’s capabilities and versatility.

Artificial Intelligence (AI) - or more specifically Machine Learning (ML) - and automation were big topics for many of our customers in 2022. Common reasons for the interest in AI and automation were to: increase efficiency, reduce manual processing, minimise human error and - especially for the use of ML - identify ‘unknown unknowns’.