Remove Availability Remove Data Remove Monitoring
article thumbnail

Dynatrace extends Synthetic Monitoring capabilities with Network Availability Monitors to validate the availability of infrastructure and services

Dynatrace

Current synthetic capabilities Dynatrace Synthetic Monitoring is a powerful tool that provides insight into the health of your applications around the clock and as they’re perceived by your end users worldwide. Our script, available on GitHub , provides details. But is this all you need? into NAM test definitions.

article thumbnail

Dynatrace SaaS on Azure now Generally Available

Dynatrace

In September, we announced the availability of the Dynatrace Software Intelligence Platform on Microsoft Azure as a SaaS solution and natively in the Azure portal. Today, we are excited to provide an update that Dynatrace SaaS on Azure is now generally available (GA) to the public through Dynatrace sales channels. Dynatrace news.

Azure 324
Insiders

Sign Up for our Newsletter

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

article thumbnail

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

Dynatrace

By taking advantage of native Kubernetes standards, Dynatrace Cloud Native Full Stack injection empowers you to precisely provide the data that your teams need in exceptionally fast and automated ways. A team looking for metrics, traces, and logs no longer needs to file a ticket to get their app monitored in their own environments.

article thumbnail

Managing PostgreSQL® High Availability – Part I: PostgreSQL Automatic Failover

Scalegrid

Managing High Availability (HA) in your PostgreSQL hosting is very important to ensuring your database deployment clusters maintain exceptional uptime and strong operational performance so your data is always available to your application. It reduces downtime and supports business continuity.

article thumbnail

Elevating System Management: The Role of Monitoring and Observability in DevOps

DZone

Monitoring and observability are two key concepts that facilitate this process, offering valuable visibility into the health and performance of systems. In this article, we will explore the differences between monitoring and observability, provide examples to illustrate their applications and highlight their respective benefits.

DevOps 324
article thumbnail

Dynatrace observability now available for Red Hat OpenShift on IBM Z and LinuxONE mainframes

Dynatrace

IBM Z and LinuxONE mainframes running the Linux operating system enable you to respond faster to business demands, protect data from core to cloud, and streamline insights and automation. Telemetry data, such as traces and metrics, allow you to analyze the end-to-end performance of your deployed applications.

article thumbnail

Ready-to-go sample data pipelines with Dataflow

The Netflix TechBlog

by Jasmine Omeke , Obi-Ike Nwoke , Olek Gorajek Intro This post is for all data practitioners, who are interested in learning about bootstrapping, standardization and automation of batch data pipelines at Netflix. You may remember Dataflow from the post we wrote last year titled Data pipeline asset management with Dataflow.