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.
Helm is a package manager that makes it easy to deploy and manage Kubernetes applications. Our new Helm integration allows you to monitor the availability and status of the Helm-managed applications deployed in your Kubernetes clusters. In this post, we’ll show you how you can visualize the status of your Helm releases and use monitors to notify you of important changes in your Helm environment.
PlanetScale is a serverless, MySQL-compatible database platform powered by Vitess. PlanetScale handles database scaling while also providing you with the tools to increase your development velocity, such as branching, non-blocking schema changes, automatic backups, built-in connection pooling, as well as a helpful interface and CLI. Datadog’s new integration gives you deep visibility into your PlanetScale databases, so you can optimize your usage and costs.
After two years of virtual editions, KubeCon + CloudNativeCon Europe returned as a hybrid event, with its in-person portion held in Valencia, Spain, from May 16-20. As platinum sponsors of this year’s conference, Datadog held a booth where we showcased the latest updates to our Kubernetes monitoring solution, including the new Kubernetes resources overview, improved OpenTelemetry support, and the latest version of the Datadog Operator for Kubernetes.
OpenTelemetry is a Cloud Native Computing Foundation (CNCF) initiative that provides open, vendor-neutral standards and tools for instrumenting services and applications. Many organizations use OpenTelemetry’s collection of APIs, SDKs, and tools to collect and export observability data from their environment to their preferred backend. As part of our ongoing commitment to OpenTelemetry, we are proud to have contributed our distributed tracing libraries to the CNCF community.
