Managing microservices requires understanding many dependencies, both technical and operational. Join Brooke Chen of Datadog as they introduce Service Catalog, a new view combining telemetry, performance, topology, and metadata to enable at-a-glance understanding of even the most complex microservices architectures.

Borja Burgos from Datadog talks about what Shift-Left Observability means, some of the core principles, and the benefits you can get by implementing it.

Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events.

London Stock Exchange Group (LSEG) is a 300 year old institution that processes 1M+ trades every day, totalling billions of pounds in value. Learn how Datadog helps LSEG proactively identify issues and prevent system outages to ensure the exchange runs smoothly.

Rust is a programming language that has been gaining popularity over the past few years, with its adopters claiming that it helps them write faster, memory efficient, and more reliable software. At Datadog many backend services are written in Go, but some teams have begun adopting Rust when building new services, especially when performance is critical.

Fundbox needed a single monitoring platform to bolster its DevOps efforts and reduce maintenance overhead. With Datadog, it consolidated eight monitoring tools into one, leading to heightened collaboration, improved efficiency, and faster resolutions.

Depending on your chosen programming language and stack, you may have never used a profiler in production. The very idea of using a profiler in production for a web service may seem unrealistic, due to the amount of overhead involved. After all, aren’t profilers extremely computationally expensive to run? Despite a reputation for being computationally expensive, many programming languages have examples of profilers built to run in production. The importance of seeing how your application behaves in production is critically important to understanding how it performs in the real world.

Datadog Network Device Monitoring (NDM) provides deep visibility into your full inventory of network-connected devices. Datadog autodiscovers devices from any network, and allows you to correlate health and performance data from your devices with other observability data in a single unified platform.

Datadog Network Performance Monitoring (NPM) provides end-to-end visibility into on-prem, cloud, and hybrid networks. With NPM, teams can monitor communication between services, pods, availability zones, and any two meaningful endpoints to quickly determine if the network is responsible for an issue.

Datadog's Cloud Security Platform—consisting of Cloud SIEM, Posture Management, and Workload Security—delivers real-time threat detection and continuous configuration audits across your applications, hosts, containers, and cloud infrastructure. Datadog derives security insights from your observability data, enabling security and DevOps teams to work together to detect, investigate, and remediate threats.