OpenTelemetry (OTel) is an open source, vendor-neutral observability framework that supplies APIs, SDKs, and tools for the instrumentation of cloud-native applications and services. OTel enables you to collect metrics, logs, and traces from a variety of sources and route them to various backends. By itself, however, it can’t help you analyze this data or correlate telemetry from different parts of your stack.

The OpenTelemetry (OTel) project is an open source initiative with the goal of providing vendor-neutral standards and tools that enable users to collect telemetry from any source in their environment and send it to any backend. A core tenet of Datadog is to provide a single, unified platform for customers to easily collect and monitor all of their observability data, regardless of where it comes from.

Many organizations rely on distributed tracing in Datadog APM to gain end-to-end visibility into the performance of their Kubernetes applications. But as teams grow, it can become impractical for them to manually configure each new application with the libraries and environment variables needed for tracing.

HashiCorp Boundary provides a secure way to manage remote access to applications and infrastructure without exposing the underlying network or credentials. Launched two years ago as an open source solution, HashiCorp recently announced a fully managed version on the HashiCorp Cloud Platform (HCP), enabling you to manage identity-based authorizations, user and target onboarding, and more for dynamic environments.

With vSphere and Tanzu Kubernetes Grid (TKG), VMware enables enterprise organizations to combine the economic advantages of virtual machines (VMs) with the agility, portability, and scalability provided by Kubernetes. vSphere is VMware’s platform for the provisioning and management of VMs.

As your environment changes, new trends can quickly make your existing monitoring less accurate. At the same time, building alerts after every new incident can turn a straightforward strategy into a convoluted one. Treating monitoring as a one-time or reactive effort can both result in alert fatigue. Alert fatigue occurs when an excessive number of alerts are generated by monitoring systems or when alerts are irrelevant or unhelpful, leading to a diminished ability to see critical issues.