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.

Are you a Splunk Cloud admin tired of sifting through various tools and dashboards to monitor the health of your Splunk Cloud deployment? Do you often find yourself wondering what actions you can take to keep your Splunk Cloud deployment running smoothly? Are you looking for ways to be alerted before something impacts your deployment performance? Look no further than the Cloud Monitoring Console's Health Dashboard!

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.