Metric Expressions explained

Dynatrace

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

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.

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Code Quality Metrics

DZone

"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

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.

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.

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.

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.

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.

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

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.

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.

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.

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.

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.

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.

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.

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?

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.

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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.

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!

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

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.

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?

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.

What is? OpenTelemetry??An open-source standard for logs, metrics, and traces

Dynatrace

Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces. Logs, metrics, and traces make up the bulk of all telemetry data. Dynatrace news.

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.

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.

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.

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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).

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.

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

DevOps Enterprise Summit USA: Flow Metrics in Action

Tasktop

The whole idea of the Flow Metrics is to have a set of flow key results that tell us whether we’re improving or whether we’ve got impediments or bottlenecks that are slowing us from improving. Banking on Flow Metrics with Bank of New Zealand. Take a Course in Flow Metrics.

Cumulative Layout Shift, The Layout Instability Metric

Dareboost

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?

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

Core Web Vitals: Practical metrics for optimal user experiences

Dynatrace

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.

How to Use Software Productivity Metrics The Right Way

DZone

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

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.

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

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

Tasktop

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.