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


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.

Find and analyze important metrics faster with the new metric browser


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.


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MicroProfile Metrics with Prometheus and Grafana [Video]


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.

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


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.

3 Performance Testing Metrics Every Tester Should Know


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.

Code Quality Metrics


"Employing these Metrics to excel the performance of code directly impacts the profitability of the business. Achieving high-quality standards ultimately increases the ROI of the software. Consider it as a matter of choosing between investing excess time as well as resources initially or wasting the same later in fixing issues".

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


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.

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


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.

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


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.

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


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.

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


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.

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

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


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.

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


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).

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


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?

Understanding Software Quality Metrics With Manual and Automated Testing


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!

Elevate your dashboards with the new Dynatrace metrics framework


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.

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


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.

How to Publish Spring Boot Actuator Metrics to Dynatrace


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

Performance Metrics of Your QA Team


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


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.

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


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?

Core Web Vitals: Practical metrics for optimal user experiences


Metrics that offer measurable, repeatable insight into the user experience from the moment they arrive on a website from a mobile or desktop device. Great user experiences start with Core Web Vitals (CWVs) — a set of metrics defined by Google to help measure user experience at scale.

Integrate Dynatrace more easily using the new Metrics REST API


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.

7 Top Kubernetes Health Metrics You Must Monitor


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.

Database Metrics

SQL Shack

Summary There is a multitude of database metrics that we can collect and use to help us understand database and server resource consumption, as well as overall usage. This data can include hardware statistics, such as measures of CPU or memory consumed over time. We can also examine database metadata, including row counts, waits, and […]. Monitoring Performance

Toward a Better Quality Metric for the Video Community

The Netflix TechBlog

VMAF is a video quality metric that Netflix jointly developed with a number of university collaborators and open-sourced on Github. In the rest of this blog, we highlight three other areas of recent development, as our efforts toward making VMAF a better quality metric for the community.

4 Software QA Metrics To Enhance Dev Quality and Speed


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.

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Modern UX metrics on WebPageTest

Addy Osmani

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

DYOC: Agentless RUM, OpenKit, Metric ingest, and Business Analytics


Agentless RUM, OpenKit, and Metric ingest to the rescue! What insights can we gain from usage metrics that we can feed-back to our product management teams? Doing so is as simple as a click on the Create Metric button and then Pin to Dashboard. Dynatrace news.

DORA Metrics and Flow Metrics: Use the Whole Ruler, Not Just Two Inches


In this blog, you’ll learn the difference between DORA and Flow Metrics and how they complement each other. . DORA Metrics: Gold Standard for Releasing Code. Value Stream Management and Flow Metrics: Measure The Whole System. Flow Metrics: Measuring Value, Not Actions.

Cumulative Layout Shift, The Layout Instability Metric


Cumulative Layout Shift … Continue reading Cumulative Layout Shift, The Layout Instability Metric → Web best PracticesHave you ever started reading an exciting news article but then lose your line because all the text shifted downwards?

How Mitchells & Butlers brought the business together with DevOps metrics from Dynatrace


DevOps metrics and digital experience data are critical to this. Bringing teams together around DevOps metrics made it easier for M&B to identify how it could create better digital experiences for its customers and optimize revenue. Dynatrace news.

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Dynatrace partners with AWS to provide enterprise-grade, intelligent observability for custom OpenTelemetry metrics


OpenTelemetry metrics are useful for augmenting the fully automatic observability that can be achieved with Dynatrace OneAgent. OpenTelemetry metrics add domain specific data such as business KPIs and license relevant consumption details. Dynatrace news.

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How to Use Software Productivity Metrics The Right Way


Software engineering productivity or velocity metrics have always been a very debated topic. In this article, I want to list the different velocity metrics and see how and when you can use them, and sometimes perhaps not at all. Let’s start with a review of what software engineering metrics are, and are not. tutorial performance management productivity developer agile development metrics engineer

Dynatrace innovates again with the release of topology-driven auto-adaptive metric baselines


With the advent and ingestion of thousands of custom metrics into Dynatrace, we’ve once again pushed the boundaries of automatic, AI-based root cause analysis with the introduction of auto-adaptive baselines as a foundational concept for Dynatrace topology-driven timeseries measurements.

The “Best” Performance Metrics? Start With These Six


It’s true that what might be considered the “most important” or “best” web performance metrics can vary by industry. Whether you’re new to web performance or you’re an expert working with the business side of your organization to gain buy-in on performance culture, we suggest starting with six specific metrics: Time to Interactive , First Contentful Paint , Visually Complete , Speed Index , Time to First Byte , and Total Content Size. The post The “Best” Performance Metrics?

Displaying Page Load Metrics on Your Site


I was browsing Tim Kadlec’s website and I noticed he had added page load time metrics in the footer. If your browser supports the Paint Timing API you will see a couple of extra metrics: First Paint and First Contentful Paint. First Paint and First Contentful Paint Page load time is a metric that tells us part of the story. I have written before about user perceived performance and metrics that tell how long it takes to render something on the page.

New web performance insights with additional metrics and enhanced Visually complete for synthetic monitors


Recently introduced improvements to Visually complete and new web performance metrics for Real User Monitoring are now available for Synthetic Monitoring as well. Ensure better user experience with paint-focused performance metrics. Track specific performance metrics over a long term.

AI-powered custom log metrics for faster troubleshooting


But sometimes you might have a scenario where simple access to log file content is not enough—you need to create a metric for log entries that contain “Error,” for instance, or something more complex like “Error and not Warning.” In such cases, you need the ability to turn log data into custom metrics. Improved monitoring insights with AI-powered custom log metrics. Moreover, you also have the ability to chart these log metrics and pin them to your favorite dashboards.

Analyzing API Call Performance From Different Global Locations Based on cURL Metrics


The cURL component timings are: performance api metrics curl api performance curl metricsMy previous post presented “A Graphical View of API Performance Based on Call Location.” In that post, we analyzed the performance of a week of calls to the World Bank Countries API (which is served from Washington DC) from four different locations around the globe: Washington DC, USA; Oregon, USA; Ireland; and Tokyo, Japan. The API performance across the week showed remarkable consistency.

Key Application Performance Metrics From the Viewpoint of a Statistician-Turned-Developer


Now that you’ve deployed your code, it’s time to monitor it, collect data, and analyze your metrics. You’ve just released your new app into the wild, live in production. Success! Now what? Your job is done, right? Wrong.

Collecting Prometheus Metrics With Azure Monitor


This preview allows for the collection of Prometheus metrics in Azure Monitor. This pod will pull in metrics from your cluster and nodes and make this available to you in Azure Monitor. So far, this has been limited to collecting standard metrics about the nodes, cluster, and pods, so things like CPU, memory usage, etc. Microsoft announced a new preview this week, which I think is a pretty big deal.

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