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HTTP monitors on the latest Dynatrace platform extend insights into the health of your API endpoints and simplify test management

Dynatrace

Traditional insight into HTTP monitor execution details For nearly two thousand Dynatrace customers, Dynatrace Synthetic HTTP monitors provide insights into the health of monitored endpoints worldwide and around the clock. It now fully supports not only Network Availability Monitors but also HTTP synthetic monitors.

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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.

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Part 2: A Survey of Analytics Engineering Work at Netflix

The Netflix TechBlog

This article is the second in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Need to catch up? Check out Part 1. Because games differ from series/films, its crucial to validate this estimation method for games.

Analytics 190
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Transform data into insights with Dynatrace Dashboards and Notebooks

Dynatrace

In this blog post, we look at these enhancements, exploring methods for monitoring your Kubernetes environment and showcasing how modern dashboards can transform your data. These ready-made dashboards offer your platform engineers, who oversee Kubernetes environments, immediate and comprehensive data visibility.

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Reliability indicators that matter to your business: SLOs for all data types

Dynatrace

This lets you build your SLOs around the indicators that matter to you and your customers—critical metrics related to availability, failure rates, request response times, or select logs and business events. While the SLO management web UI and API are already available, the dashboard tile will be released within the next weeks.

Metrics 277
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SLOs for Kubernetes clusters: Optimize resource utilization of Kubernetes clusters with service-level objectives

Dynatrace

Service-level objectives are typically used to monitor business-critical services and applications. However, due to the fact that they boil down selected indicators to single values and track error budget levels, they also offer a suitable way to monitor optimization processes while aligning on single values to meet overall goals.

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Next generation Dynatrace Davis AI becomes the default causation engine

Dynatrace

Even the best baseline approaches come with a tiny percentage of false-positive alerts, the number being directly proportional to the number of components you’re monitoring. Back during Perform 2019, we introduced the next generation of the Dynatrace AI causation engine , also known as Davis. as the default AI engine.