Metric Expressions explained

Dynatrace

The post Metric Expressions explained appeared first on Dynatrace blog. Observability Best Practices Dynatrace MetricsDynatrace news.

Support of OpenTelemetry metrics with enhanced AI capabilities

Dynatrace

With the most important components becoming release candidates , Dynatrace now supports the full OpenTelemetry specification on all runtimes and automatically adds intelligence to metrics at enterprise scale. So these metrics are immensely valuable to SRE and DevOps teams.

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How to collect Prometheus metrics in Dynatrace

Dynatrace

Dynatrace has recently extended its Kubernetes operator by adding a new feature, the Prometheus OpenMetrics Ingest , which enables you to import Prometheus metrics in Dynatrace and build SLO and anomaly detection dashboards with Prometheus data. How to collect Prometheus metrics.

9 key DevOps metrics for success

Dynatrace

The emerging concepts of working with DevOps metrics and DevOps KPIs have really come a long way. DevOps metrics to help you meet your DevOps goals. Like any IT or business project, you’ll need to track critical key metrics. DevOps DevOps metrics kpiDynatrace news.

DevOps 180

AI-driven analysis of Spring Micrometer metrics in context, with typology at scale

Dynatrace

Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. Davis topology-aware anomaly detection and alerting for your Micrometer metrics. Topology-related custom metrics for seamless reports and alerts. Dynatrace news.

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. Creating customized metric reports.

MicroProfile Metrics with Prometheus and Grafana [Video]

DZone

In this short video, Rudy de Busscher shows how to connect MicroProfile Metrics with Prometheus and Grafana to produce useful graphics and to help investigate your microservice architecture. The goal of MicroProfile Metrics is to expose monitoring data from the implementation in a unified way.

Transform log data into actionable metrics and have Davis AI do the work for you

Dynatrace

Now, Dynatrace has the ability to turn numerical values from logs into metrics, which unlocks AI-powered answers, context, and automation for your apps and infrastructure, at scale. Manual tracking of metrics from logs is too complex at scale. Dynatrace metrics break down silos.

3 Performance Testing Metrics Every Tester Should Know

DZone

There are certain performance testing metrics that are essential to understand properly in order to draw the right conclusions from your tests. These metrics require some basic understanding of math and statistics, but nothing too complicated.

Simplify observability for all your custom metrics (Part 2: OneAgent metric API)

Dynatrace

In Part 1 we explored how you can use the Davis AI to analyze your StatsD metrics. . In part 2, we’ll show you how you can run multidimensional analysis from external metrics that are ingested via the OneAgent metric API. Dynatrace news.

Better metrics, better charts – Dynatrace a new Amazon Managed Grafana partner

Dynatrace

The post Better metrics, better charts – Dynatrace a new Amazon Managed Grafana partner appeared first on Dynatrace blog. Observability Product news AWS dashboards Grafana MetricsDynatrace news.

A Review of Performance Classification Metrics

DZone

This article will tell some of the metrics used to evaluate the performance of the classification problems and will also tell when to use which metrics.

Intelligent, context-aware AI analytics for all your custom metrics

Dynatrace

Dynatrace recently opened up the enterprise-grade functionalities of Dynatrace OneAgent to all the data needed for observability, including metrics, events, logs, traces, and topology data. Davis topology-aware anomaly detection and alerting for your custom metrics. Dynatrace news.

AI-driven analysis of Spring Micrometer metrics in context, with topology at scale

Dynatrace

Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. Davis topology-aware anomaly detection and alerting for your Micrometer metrics. Topology-related custom metrics for seamless reports and alerts. Dynatrace news.

AI-driven analysis of Spring Micrometer metrics in context, with topology at scale

Dynatrace

Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. Davis topology-aware anomaly detection and alerting for your Micrometer metrics. Topology-related custom metrics for seamless reports and alerts. Dynatrace news.

Find and analyze important metrics faster with the new metric browser

Dynatrace

Recently we simplified observability for custom metrics and opened up Dynatrace OneAgent for integration of metrics from various sources like StatsD , Telegraf , and Prometheus. Explore the metrics you’re most interested in with the new metric browser.

Simplify observability for all your custom metrics (Part 4: Prometheus)

Dynatrace

In Part 1 we explored how you can use the Davis AI to analyze your StatsD metrics. In Part 2 we showed how you can run multidimensional analysis for external metrics that are ingested via the OneAgent Metric API. Analyzing Prometheus metrics in Kubernetes is challenging.

Deliver actionable observability through metric expressions

Dynatrace

The post Deliver actionable observability through metric expressions appeared first on Dynatrace blog. Dynatrace news. Product news Business Analytics dashboards-and-charts dt-rest-api Dynatrace version 1.222 observability What's new

Simplify observability for all your custom metrics (Part 5: Telegraf)

Dynatrace

In Part 1 we explored how you can use the Davis AI to analyze your StatsD metrics. Part 2 showed how to run multidimensional analysis for external metrics that are ingested via the OneAgent Metric API. As you can see here we have prefixed all metrics with telegraf.

Understanding Software Quality Metrics With Manual and Automated Testing

DZone

Understanding software quality metrics, especially in automated testing, helps us identify what is working well and what needs improvement. performance automation testing software quality manual testing metrics. quality metricsLearn more about manual and automated testing!

Simplify observability for all your custom metrics (Part 1: StatsD)

Dynatrace

In this post we’ll explore how you can use the Davis AI to analyze your StatsD metrics. Making sense of StatsD metrics is challenging. Dynatrace brings AIOps to your StatsD metrics. Automatic observability into Apache Airflow apps by sending StatsD metrics to Dynatrace.

Flow Metrics: Three Anti-Patterns to Avoid

Tasktop

Flow Metrics are a major pillar of how we measure improvement in value streams. . As organizations begin to adopt Flow Metrics , our natural tendencies emerge to massage the newfound visibility to make the metrics “look good”.

7 Top Kubernetes Health Metrics You Must Monitor

DZone

A highly efficient Kubernetes setup generates innumerable new metrics every day, making monitoring cluster health quite challenging. You might find yourself sifting through several different metrics without being entirely sure which ones are the most insightful and warrant utmost attention.

Simplify observability for all your custom metrics (Part 3: Scripting languages)

Dynatrace

In Part 1 we explored how you can use the Davis AI to analyze your StatsD metrics. In Part 2 we showed how you can run multidimensional analysis for external metrics that are ingested via the OneAgent Metric API. Example use case: G et various CPU metrics per processor.

How to Publish Spring Boot Actuator Metrics to Dynatrace

DZone

Learn more about publishing Spring boot actuator metrics! The metrics generated by the Spring Boot Actuator module of Spring Boot can be easily published to a Dynatrace cloud instance. java tutorial performance spring boot dynatrace micrometer spring actuator metrics monitoring

Ingesting JMeter, temperature and humidity metrics: A Dynatrace innovation day report

Dynatrace

Dynatrace has recently enhanced its Metrics APIs, allowing everyone to send any type of metric with any set of data dimension to Davis, Dynatrace’s AI engine. In our conversation, I mentioned the new Dynatrace Metrics ingestion and off we went. ?? Dynatrace news.

What is observability? Not just logs, metrics and traces

Dynatrace

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. Metrics: These are the values represented as counts or measures that are often calculated or aggregated over a period of time.

Elevate your dashboards with the new Dynatrace metrics framework

Dynatrace

We’ve introduced a new framework for metrics that provides (1) a logical tree structure, (2) globally unique metric keys that ease integration between multiple Dynatrace environments, and (3) more flexibility to extend Dynatrace so it better fits your specific business use cases. Going forward, the new metrics framework will be at the core of everything that you can do with metrics in Dynatrace. Find metrics more quickly with metric categories.

Analyze all AWS data in minutes with Amazon CloudWatch Metric Streams available in Dynatrace

Dynatrace

For quite some time already, Dynatrace has provided full observability into AWS services by ingesting CloudWatch metrics that are published by AWS services. Amazon CloudWatch gathers metric data from various services that run on AWS. What is Amazon CloudWatch Metric Streams?

Kubernetes workload troubleshooting with metrics, logs, and traces

Dynatrace

There’s no lack of metrics, logs, traces, or events when monitoring your Kubernetes (K8s) workloads. The post Kubernetes workload troubleshooting with metrics, logs, and traces appeared first on Dynatrace blog. Dynatrace news.

Increased focus for your teams with fine-grained access control for your Prometheus, StatsD, and Telegraf metrics

Dynatrace

Recently, we simplified StatsD, Telegraf, and Prometheus observability by allowing you to capture and analyze all your custom metrics. Gain fine-grained access control for Prometheus, StatsD, and Telegraf metrics. What if a custom metric is sent to a host in my management zone?

Multidimensional analysis 2.0: Analyze, chart, and report on microservices-based metrics without code changes

Dynatrace

In an existing application landscape, however, it can be difficult to get to those metrics. A larger financial institution is using the analysis to report business metrics on dashboards and make them accessible via the Dynatrace API. Why are there no secondary metrics in the new MDA?

4 Software QA Metrics To Enhance Dev Quality and Speed

DZone

Introduction. Today, the demand for software is higher than ever. Lines of code govern almost everything we do in our day-to-day activities. The way we buy, the way we sell, even the way we communicate. In 2019, according to Evans Data Corporation, there were 23.9 million developers worldwide.

Speed 236

Mobile Performance Metrics You Should Know: Part 1

DZone

Consumers and enterprises alike expect more from software. Speed, UX, availability, and frequency of updates are increasingly important with mobile apps.

Mobile 207

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. Dynatrace news. What is Fluentd?

Performance Metrics of Your QA Team

DZone

QA performance metrics are essential for eliminating inefficient strategies and improving internal processes. Your QA performance metrics process should identify if goals are being met as and analyze resources to make sure they are producing to their maximum capacity. They also enable managers to track the progress of their QA team over time and make data-driven decisions about future projects.

Reignite Your SAFe® Journey with Flow Metrics

Tasktop

That’s why I’m so excited to see Flow Metrics added to the latest SAFe iteration. outlines three core metrics : Outcomes : Are your solutions meeting the needs of customers and business? His Flow Framework® provides five metrics that can be used to measure different aspects of flow.

Announcing enterprise-grade observability at scale for your OpenTelemetry custom metrics

Dynatrace

As the application owner of an e-commerce application, for example, you can enrich the source code of your application with domain-specific knowledge by adding actionable semantics to collected performance or business metrics. Seamlessly export your OpenTelemetry custom metrics to Dynatrace.

Announcing enterprise-grade observability at scale for OpenTelemetry custom metrics (Part 2)

Dynatrace

Welcome back to the second part of our blog series on how easy it is to get enterprise-grade observability at scale in Dynatrace for your OpenTelemetry custom metrics. Getting specific metrics from libraries that are pre-instrumented with OpenTelemetry (for example, database drivers).

Create compelling insights into business and operational KPIs through metric calculations in the Data explorer

Dynatrace

Metrics matter. But without complex analytics to make sense of them in context, metrics are often too raw to be useful on their own. To achieve relevant insights, raw metrics typically need to be processed through filtering, aggregation, or arithmetic operations. Combine metrics.

Metrics in SDLC: Let the Truth Prevail

Testsigma

Metrics in SDLC. Metrics are pure data. The real problem, in SDLC, starts when these metrics are considered as a single source of truth or when they are taken up as absolute measures or when used inappropriately. When and when not to use Metrics in SDLC.

Integrate Dynatrace more easily using the new Metrics REST API

Dynatrace

As a full stack monitoring platform, 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 your individual hosts, the average number of metrics is about 500 per computational node. All told, there are thousands of metric types that can be charted and that Davis automatically analyzes and alerts on within your Dynatrace environment. New metric identifiers and structure.

Modern UX metrics on WebPageTest

Addy Osmani

This tip covers how to measure modern UX metrics on WebPageTest using the Custom Metrics feature