The Internet of Things (IoT) can be found in a diverse range of devices, including fleets of autonomous vehicles, automobiles, planes, electric charging stations, and voice controllers. These devices are embedded with gateways, electronics, actuators, platform hubs, and cloud-service connectivity, enabling them to exchange data across the physical, network, and application layers that constitute IoT architecture.
Datadog Database Monitoring (DBM) provides comprehensive visibility into SQL queries running on your databases. Using DBM, you can troubleshoot database performance issues by drilling into frequently used queries and analyzing historical trends in your queries’ metrics and execution plans. Whether you operate self-hosted SQL Server instances or leverage Azure’s fully managed services, DBM can provide deep visibility into the databases your application depends on.
We’re pleased to announce a new out-of-the-box dashboard for Azure Kubernetes Service (AKS) that allows you to immediately visualize the health and performance of your AKS clusters. This dashboard organizes and highlights the most critical information from the standard AKS metrics, while also incorporating log data to provide observability into the control plane.
Many organizations manage applications that are supported by a large number of services in multiple environments, ranging from the cloud to their own data centers across the globe. As these organizations scale and accelerate service adoption, the volume of telemetry data in their environments multiplies every year.
Monitoring your on-premise or hybrid infrastructure means keeping track of potentially thousands of devices, any one of which could be a point of failure. Additionally, silos between application and network teams can create visibility gaps that complicate troubleshooting. For network engineers investigating bottlenecks, being able to view real-time infrastructure health and performance data alongside application metrics is essential for ensuring their organizations meet key SLOs.
Gartner® has published the 2022 Magic Quadrant™ for APM and Observability, an annual report that evaluates vendors in this category. We’re honored that Datadog has been recognized as a “Leader” within this Magic Quadrant report for the second consecutive year, with the highest position for Ability to Execute.
Modern video streaming workflows are composed of many different services, including encoders, origins, ad servers, content delivery networks (CDNs), and more. This wide range of options enables organizations to choose the tools that best fit their needs, but it also introduces considerable observability challenges. For instance, you may have limited access to the log data from each layer of your video workflow, and the data you can access likely isn’t standardized.
Updated June 2022. This research builds on the previous edition of this article, which was published in May 2021. Click here to download the graphs for each fact.
For over a decade, Amazon RDS (Relational Database Service) has been a popular managed database service companies have used to set up, operate, and scale databases for web and mobile applications. However, modern, high-scale applications can have upward of tens of thousands of clients. This means that maintaining direct connections between the database and application can quickly begin to consume more resources than the query executions themselves.
