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At re:Invent this year, AWS announced its new digital twin service, AWS IoT TwinMaker (in preview), which allows users to create digital twins of real-world systems like buildings, factories, industrial equipment, and production lines. Using a digital twin to monitor and improve operations for a physical system requires ingesting data from IoT sensors, process instruments, cameras, and enterprise systems, and curating and associating data from these disparate sources.

In collaboration with the AWS team, we have recently released the new Redshift data source plugin for Grafana. Amazon Redshift is the fastest and most widely used cloud data warehouse. It uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes by using AWS-designed hardware and machine learning.

If you are looking for your next role which involves an in-depth knowledge of Grafana then you will want to make sure that you have revised sufficiently beforehand. In this resource guide on the top Grafana interview questions, we've listed all of the leading questions that candidates are commonly asked about this popular visual analysis tool alongside the answers you’ll need to pass. Want to improve your knowledge even further?

Monitoring is usually associated with servers and applications, but the fintech automation platform Ocrolus recently needed to set up monitoring for a different purpose: to gain meaningful data and insights about nearly 1,000 remote user workstations.

In this post, we are going to cover some of the most common misconceptions and queries users have about AWS Elasticsearch, Open Distro & OpenSearch as these three terms are often being used interchangeably to refer to any Amazon backed distribution of Elasticsearch and Kibana.

We’re thrilled to announce the addition of the Sentry data source plugin to Grafana. Grafana Labs worked in partnership with Sentry, the code observability platform, to help development teams see the issues that matter and solve them faster — across their entire tech stack — so they can remove silos and ship with confidence.

Amazon CloudWatch has recently launched Metrics Insights (Preview) — a fast, flexible, SQL-based query engine that enables you to identify trends and patterns across millions of operational metrics in real-time. With Metrics Insights, you can easily query and analyze your metrics to gain better visibility into the health and performance of your infrastructure and large scale applications.