Expert insights. Personalized for you.
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. MORE
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. MORE
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. MORE
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. MORE
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? MORE
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. MORE
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. MORE
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. MORE
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. MORE
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. MORE
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. MORE
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? MORE
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. MORE
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. MORE
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. MORE
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? MORE
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 MORE
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? MORE
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. MORE
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. MORE
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 MORE
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. MORE
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. MORE
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. MORE
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. MORE
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. MORE
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. MORE
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 MORE
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. MORE
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. MORE
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. MORE
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. MORE
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. MORE
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). MORE
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. MORE
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? MORE
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. MORE
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! MORE
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. MORE
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. MORE
This tip covers how to measure modern UX metrics on WebPageTest using the Custom Metrics feature MORE
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. MORE
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. MORE
"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". MORE
Metrics Related Topics Dynatrace
DECEMBER 22, 2020
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.
Dynatrace
DECEMBER 9, 2020
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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DZone
JULY 2, 2020
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.
Dynatrace
JANUARY 12, 2021
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.
DZone
APRIL 3, 2020
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.
DZone
MAY 12, 2021
"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".
Dynatrace
MAY 20, 2020
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.
Dynatrace
FEBRUARY 3, 2021
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.
Dynatrace
DECEMBER 28, 2020
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.
Dynatrace
NOVEMBER 3, 2020
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.
Dynatrace
OCTOBER 7, 2020
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.
Dynatrace
MARCH 31, 2021
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?
Dynatrace
OCTOBER 26, 2020
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.
Dynatrace
NOVEMBER 27, 2020
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).
Dynatrace
JANUARY 17, 2020
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?
DZone
JANUARY 10, 2020
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!
Dynatrace
JUNE 28, 2019
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.
Dynatrace
NOVEMBER 23, 2020
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.
DZone
DECEMBER 20, 2019
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
DZone
FEBRUARY 25, 2021
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.
Tasktop
JULY 22, 2021
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.
Dynatrace
NOVEMBER 12, 2020
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?
Dynatrace
APRIL 21, 2021
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.
Dynatrace
JUNE 28, 2019
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.
DZone
MARCH 11, 2021
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.
SQL Shack
OCTOBER 2, 2019
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
The Netflix TechBlog
DECEMBER 7, 2020
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.
DZone
APRIL 16, 2021
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.
Addy Osmani
APRIL 2, 2020
This tip covers how to measure modern UX metrics on WebPageTest using the Custom Metrics feature
Dynatrace
DECEMBER 18, 2020
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.
Tasktop
JULY 1, 2021
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.
Dareboost
SEPTEMBER 2, 2020
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?
Dynatrace
MARCH 18, 2021
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.
Dynatrace
DECEMBER 15, 2020
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.
DZone
AUGUST 21, 2019
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
JULY 23, 2020
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.
Rigor
JUNE 14, 2019
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?
Jos
MARCH 30, 2018
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.
Dynatrace
AUGUST 5, 2020
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.
Dynatrace
OCTOBER 14, 2019
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.
DZone
APRIL 24, 2019
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.
DZone
MAY 15, 2020
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.
DZone
AUGUST 5, 2019
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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