Remove Comparison Remove Metrics Remove Monitoring
article thumbnail

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.

article thumbnail

Catching up with OpenTelemetry in 2025

Dynatrace

OpenTelemetry is enhancing GenAI observability : By defining semantic conventions for GenAI and implementing Python-based instrumentation for OpenAI, OpenTel is moving towards addressing GenAI monitoring and performance tuning needs. Second, it enables efficient and effective correlation and comparison of data between various sources.

Tuning 310
Insiders

Sign Up for our Newsletter

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

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. Compared to other solutions I have tested, Dynatrace NAM monitors are the most configurable which is to my liking.

article thumbnail

Connect Fluentd logs with Dynatrace traces, metrics, and topology data to enhance Kubernetes observability

Dynatrace

All metrics, traces, and real user data are also surfaced in the context of specific events. With Dynatrace, you can create custom metrics based on user-defined log events. Comparison of Kubernetes log ingestion via Fluentd and Dynatrace OneAgent. Log monitoring works out-of-the-box with no further configuration needed.

Metrics 245
article thumbnail

Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

The second phase involves migrating the traffic over to the new systems in a manner that mitigates the risk of incidents while continually monitoring and confirming that we are meeting crucial metrics tracked at multiple levels. The batch job creates a high-level summary that captures some key comparison metrics.

Traffic 347
article thumbnail

Implementing service-level objectives to improve software quality

Dynatrace

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. In what follows, we explore some of these best practices and guidance for implementing service-level objectives in your monitored environment. Best practices for implementing service-level objectives.

Software 306
article thumbnail

RabbitMQ vs. Kafka: Key Differences

Scalegrid

RabbitMQ can be deployed in distributed environments and includes monitoring tools through a built-in dashboard and CLI. Architecture Comparison RabbitMQ and Kafka have distinct architectural designs that influence their performance and suitability for different use cases.

Latency 147