Availability Event Java Monitoring 
Scalegrid
AUGUST 22, 2019
In the final post of this series, we will review the last solution, Patroni by Zalando, and compare all three at the end so you can determine which high availability framework is best for your PostgreSQL hosting deployment. Managing High Availability in PostgreSQL – Part I: PostgreSQL Automatic Failover. Patroni for PostgreSQL.
Dynatrace
JUNE 7, 2023
It shows critical SLOs for latency and availability, as well as the most important OpenAI generative AI service metrics, such as response time, error count, and the overall number of requests. OneAgent can automatically monitor all C#,NET, Java, Go, and NodeJS bindings.
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Scalegrid
MARCH 12, 2019
Are you deploying PostgreSQL in the cloud and want to understand your options for achieving high availability? In our previous blog post, Managing High Availability in PostgreSQL – Part I , we discussed the capabilities and functioning of PostgreSQL Automatic Failover (PAF) by ClusterLabs. repmgr also supports event notifications.
Dynatrace
SEPTEMBER 20, 2022
Instrumentation enables the shipment of a monitoring library with your app that collects telemetry data and sends it back to the Dynatrace platform for analysis. If you want an improved playback experience, we recommend that you capture custom events through the Session Replay API. Configure Session Replay for Android apps.
Dynatrace
AUGUST 30, 2023
Create a Kubernetes secret with a Dynatrace token kubectl -n dynatrace create secret generic dynakube --from-literal="apiToken=xxyyzz" Apply a Dynakube with Application monitoring and a CSI Driver This simple example helps. In this case, Davis found that a Java Spring Micrometer metric Failed Deliveries is highly correlated with CPU spikes.
The Netflix TechBlog
MARCH 10, 2023
After reading the asset ids using one of the ways, an event is created per asset id to be processed synchronously or asynchronously based on the use case. For asynchronous processing, events are sent to Apache Kafka topics to be processed. Asynchronous Flow : Data processor consumes the data events sent by the data extractor.
Dynatrace
NOVEMBER 6, 2023
With traditional monitoring tools, the granular data that developers require typically involves manual preparation. In this example, Grabner saw that the adservice workload was running on EKS and could see the relevant metrics, logs, services, events, error logs, and more. But developers need code-level visibility and code-level data.”
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