article thumbnail

Metric Expressions explained

Dynatrace

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

Metrics 207
article thumbnail

Dynatrace simplifies OpenTelemetry metric collection for context-aware AI analytics

Dynatrace

The release candidate of OpenTelemetry metrics was announced earlier this year at Kubecon in Valencia, Spain. The OpenTelemetry Operator can be used for automated instrumentation, or metrics and resources can be added using open source libraries for each language.

Analytics 238
Insiders

Sign Up for our Newsletter

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

article thumbnail

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.

Metrics 185
article thumbnail

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.

Metrics 201
article thumbnail

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.

Metrics 200
article thumbnail

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 185
article thumbnail

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.

Metrics 213
article thumbnail

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.

Metrics 161
article thumbnail

Using QuestDB to Collect Infrastructure Metrics

DZone

In my life as a cloud engineer, I deal with time series metrics all the time. Unfortunately, many of today’s popular metrics databases don’t support the SQL query language. One of my favorite things about QuestDB is the ability to write queries in SQL against a high-performance time series database.

article thumbnail

Metric events: Set up anomaly detection based on your business needs

Dynatrace

Dynatrace metric events offer the flexibility needed to customize your anomaly detection configuration. Metric events give you the power to transform and combine one or more metrics and choose one of the built-in monitoring strategies so that entities can be evaluated independently.

Metrics 168
article thumbnail

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".

Code 178
article thumbnail

Unified Observability Exporters: Metrics, Logs, and Tracing

DZone

This second blog will take a deeper dive into the Metrics, Logs, and Tracing exporters (which can be found at [link] ), describing them and showing how to configure them, Grafana, alerts, etc.

Metrics 207
article thumbnail

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.

Metrics 189
article thumbnail

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.

Metrics 201
article thumbnail

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.

Metrics 207
article thumbnail

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.

Metrics 193
article thumbnail

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.

Metrics 207
article thumbnail

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.

Metrics 145
article thumbnail

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.

Metrics 168
article thumbnail

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

Metrics 186
article thumbnail

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.

Metrics 158
article thumbnail

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!

Metrics 151
article thumbnail

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.

Metrics 285
article thumbnail

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.

Metrics 153
article thumbnail

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.

Metrics 130
article thumbnail

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.

Metrics 130
article thumbnail

14 Product Success Metrics to Measure Software Development Performance

DZone

There are several software products on the market that are used for their varied applications. This software makes the different tasks easier and allows for increased efficiency and performance.

Metrics 207
article thumbnail

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.

Metrics 146
article thumbnail

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.

article thumbnail

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.

article thumbnail

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.

Metrics 128
article thumbnail

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

Metrics 140
article thumbnail

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?

Metrics 185
article thumbnail

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?

Metrics 152
article thumbnail

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?

Metrics 148
article thumbnail

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.

Metrics 195
article thumbnail

The “Best” Performance Metrics? Start With These Six

Rigor

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?

Metrics 80
article thumbnail

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.

Metrics 144
article thumbnail

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).

Metrics 139
article thumbnail

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
article thumbnail

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 222
article thumbnail

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.

Metrics 102
article thumbnail

DevOps Metrics: Quantifying your DevOps Processes

Simform

Analyzing the right metrics and KPIs gives you a clear picture of your business growth, its current performance, and things that require improvement. If DevOps implementation is one of the obstacles you have successfully conquered, your battle has just begun.

DevOps 52