If you're a software engineer working with Kubernetes, you know how vital it is to have accurate, real-time information about your applications and resources. With StackState's dynamic Kubernetes observability dashboards, you can now access all the essential data you need for troubleshooting on a single screen. In this blog post, we'll discuss the key features of these dashboards, why they're valuable and how to get started with them.

As a Grafanista, you tend to find things to visualize — databases, microservices, classic video games, etc. It’s part of our “big tent” philosophy. So when our December hackathon rolled around, some of us in our internal homelab Slack channel decided to take a look at how we could get metrics out of our Plex Media Servers.

Grafana k6 v0.44.0 has been released, featuring new experimental modules, an upgraded browser module, and tons of improvements. Get Grafana k6 0.44.0 Here’s a quick overview of the latest k6 news from the team and the community.

Grafana 9.5 has arrived! 🔥🎉 Get Grafana 9.5 The latest Grafana release introduces new features and improvements, such as major Grafana Alerting improvements, dashboard and visualization enhancements, a redesigned navigation experience, support bundles for faster issue resolution, and much more to provide you with better insights into your data.

When you sign into the Roblox platform, you get 30 million immersive experiences, ranging from concerts to fashion shows to, of course, video games. But when the observability team at Roblox logs on, they’re not playing around. The Roblox observability engineers are responsible for keeping more than 214 million monthly users happy and engaged by making the wildly popular gaming platform highly available around the world.

Grafana is a popular open-source tool for visualizing and analyzing data from various sources. It provides a platform for creating interactive, customizable dashboards that display real-time data in various formats, including graphs, tables, and alerts. When powered by Mezmo's Telemetry Pipeline, Grafana can access a wide range of data sources and provide a unified view of the performance and behavior of complex systems.

IoT devices open the door to all sorts of computing potential, but they can also produce a flood of telemetry data that users need to properly collect and monitor to ensure those devices are working properly. It’s no wonder so many individuals and businesses use Grafana for IoT use cases, whether they’re starting an aquaponic farm in South Africa, managing an industrial-scale electroplating factory in Ohio, or simply keeping tabs on Pretzel the python at its home in the UK.

Internet-of-Things (IoT) devices and technologies have penetrated into our life. Nowadays, we can easily find IoT devices around us. Home appliance manufacturers produce IoT products for smart homes. Car makers invest in smart vehicles that can communicate with other smart cars and IoT objects nearby. Governments allocate huge resources to build smart cities with IoT technologies to improve the quality of life for people and promote economic growth.

Data generation today is at an unprecedented level, and we are generating an inexhaustible amount of data. As a matter of fact, more data has been created over the past two years than ever before in the history of mankind. This throws a big complexity in front of us. How do we even manage such a huge amount of data? Where do we store them? Can they be segregated to fit into our needs, who would do that for us, and so on! The questions are endless, and so is the rate of generation of new data.

With countless observability tools, data sources, and environments to juggle, the organizations that deploy and manage today’s distributed applications often face an uphill battle to gain visibility into their application performance. That was a key takeaway from the Grafana Labs Observability Survey 2023, which incorporated input from more than 250 industry practitioners who are all too familiar with these complexities.

Memory leaks can be a significant issue in any programming language, and Go is no exception. Despite being a garbage-collected language, Go is still susceptible to memory leaks, which can lead to performance degradation and cause your operating system to run out of memory. To defend itself, the Linux operating system implements an Out-of-Memory (OOM) killer that identifies and terminates processes that consume too much memory and cause the system to become unresponsive.

Grafana Labs is excited to announce that Grafana Cloud is now available in AWS Marketplace. With this new offering, existing AWS customers can procure, deploy, and scale the fully managed Grafana LGTM observability stack (Loki for logs, Grafana for visualization, Tempo for traces, Mimir for Prometheus metrics) with just a few clicks.

If you're a developer looking for an easier way to manage your Rails, JAMstack, or containerized applications, you'll be pleased to know that our team has worked hard to launch a new dashboard that simplifies the process. The new dashboard will be released to general availability next week. Here is a quick preview, let us know your thoughts.

Grafana Alerting enables users to create and customize alert rules as separate entities and link them to Grafana panels. It also supports various data sources with built-in alerting engines, such as Prometheus, Grafana Mimir, and Grafana Loki, allowing users to manage their alert rules directly from Grafana’s UI.

Logging in Kubernetes can help you track the health of your cluster and its applications. Logs can be used to identify and debug any issues that occur. Logging can also be used to gain insights into application and system performance. Moreover, collecting and analyzing application and cluster logs can help identify bottlenecks and optimize your deployment for better performance.

A database is one of the most critical components for almost every application. Making sure it is running with the expected read and write latencies is paramount. This can be the difference between a smooth, pleasing user experience and a slow, error-filled one that makes your customers turn their back on a product — and never come back.

Apache Cassandra is a highly scalable, open source NoSQL database system designed to handle large amounts of data across multiple commodity servers with no single point of failure. Apache Cassandra can be run as a single node but starts making sense when its run in a cluster setup. The system is optimized for high write throughput and is known for its ability to handle big data workloads with ease at super-low latencies.

As more organizations adopt cloud-based services like Microsoft Azure Kubernetes Service (AKS), it becomes increasingly important to monitor and manage the performance and reliability of these services. If you’re using AKS today, then Grafana Cloud provides the flexibility, performance, and visualizations you need to monitor your distributed applications.

Grafana Loki 2.8 is here — and it’s at least 0.1 better than Loki 2.7! Jokes aside, this release includes a number of improvements users will appreciate. In addition to graduating our TSDB index from Experimental to General Availability, we’ve added a number of nifty LogQL features, and we’ve made the Loki deployment and management experience much easier. This also marks the release of Grafana Enterprise Logs (GEL) 1.7.

We often see questions about how to template alerts. In Grafana, you can template information about your alerts with custom labels and annotations, and you can also template how notifications look and what information they contain with notification templates. Many users confuse the two, despite being separate features with different use cases.

As a developer, I’m always thinking about ways I can make my work on projects better, faster, and more organized. Over the years, I’ve learned that tracking development metrics is a really helpful way to do that.

There are many aspects of application performance, but they broadly fall into two categories: frontend performance and backend performance. As a tester, it’s important to know the differences between the two and how that impacts the way you approach your tests. In this blog, I’ll provide a high-level overview of frontend performance testing and backend performance testing, including pros and cons of each one.

Prometheus is an open source and free to use metrics collection and storage solution. It's used extensively in the industry for monitoring many different technologies. In this article I will show you how to get Prometheus up and running as a binary, a container running in Docker, and inside Kubernetes.