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In the context of Observability Pipelines, high availability refers to the Observability Pipelines Worker remaining available if there are any system issues.
To achieve high availability:
To mitigate a system process issue, distribute the Observability Pipelines Worker across multiple nodes and front them with a network load balancer that can redirect traffic to another Observability Pipelines Worker instance as needed. In addition, platform-level automated self-healing should eventually restart the process or replace the node.
To mitigate node issues, distribute the Observability Pipelines Worker across multiple nodes and front them with a network load balancer that can redirect traffic to another Observability Pipelines Worker node. In addition, platform-level automated self-healing should eventually replace the node.
To mitigate issues with availability zones, deploy the Observability Pipelines Worker across multiple availability zones.
Observability Pipelines Worker is designed to route internal observability data, and it should not failover to another region. Instead, Observability Pipelines Worker should be deployed in all of your regions. Therefore, if your entire network or region fails, Observability Pipelines Worker would fail with it. See Networking for more information.
Observability Pipelines Worker is an infrastructure-level tool designed to route internal observability data. It implements a shared-nothing architecture and does not manage state that should be replicated or transferred to a disaster recovery (DR) site. Therefore, if your entire region fails, Observability Pipelines Worker would fail with it. Therefore, you should install the Observability Pipelines Worker in your DR site as part of your broader DR plan.
If you’re using a managed destination, such as Datadog, Observability Pipelines Worker can facilitate automatic routing of data to your Datadog DR site using Observability Pipelines Worker’s circuit breaker feature.