Remove Analytics Remove Document Remove Metrics Remove Tuning
article thumbnail

New Prometheus-based extensions enable intelligent observability for more than 200 additional technologies

Dynatrace

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Many technologies expose their metrics in the Prometheus data format. Easily gain actionable insights with the Dynatrace Extension for Prometheus metrics. Dynatrace news.

article thumbnail

Percona Monitoring and Management 2.37: The Improved Inventory View, New Experimental Dashboards for Kubernetes Monitoring, and More!

Percona

The new Status column on the Inventory page shows the status of your databases based on metrics coming directly from them. Quick access to other sections To simplify access to related sections under Monitoring, we’ve also added links to the Service Overview Dashboard and Query Analytics. Stay tuned! What is next?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

What Is PostgreSQL Used For?

Percona

It’s used for data management (shocker), application development, and data analytics. In another survey, using multiple metrics for overall popularity, PostgreSQL ranks as the fourth most popular database management system ( DB-Engines, March 2023 ). How-to documentation is readily available. What is PostgreSQL used for?

article thumbnail

Automate complex metric-related use cases with the Metrics API version 2

Dynatrace

Dynatrace collects a huge number of metrics for each OneAgent-monitored host in your environment. Depending on the types of technologies you’re running on individual hosts, the average number of metrics is about 500 per computational node. Running metric queries on a subset of entities for live monitoring and system overviews.

Metrics 231
article thumbnail

Flexible, scalable, self-service Kubernetes native observability now in General Availability

Dynatrace

From a cost perspective, internal customers waste valuable time sending tickets to operations teams asking for metrics, logs, and traces to be enabled. A team looking for metrics, traces, and logs no longer needs to file a ticket to get their app monitored in their own environments. This approach is costly and error prone.

article thumbnail

Accelerate your cloud journey with Dynatrace observability for AWS S3 logs

Dynatrace

Logs complement metrics and enable automation Cloud practitioners agree that observability, security, and automation go hand in hand. Logs complement out-of-the-box metrics and enable automated actions for responding to availability, security, and other service events.

AWS 203
article thumbnail

Conducting log analysis with an observability platform and full data context

Dynatrace

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 192