DZone

MARCH 16, 2023

The DORA metrics are pretty much an iceberg, with the five indicators sticking out above the surface and plenty of research hidden beneath the waves. After our last post about metrics, we thought it might be interesting to look at how metrics are used on different organizational levels.

Metrics 140

Metrics Programming 140

DZone

FEBRUARY 24, 2023

Metrics are strange things: it might seem like they don’t cost anything, but they do. As a team behind Allure Report and Allure TestOps , we can confirm that QA metrics are no exception. And if a metric carries an actual, measurable cost with it, its existence can only be justified when it provides an actual, measurable benefit.

Metrics 166

Metrics Infrastructure 166

Dynatrace

NOVEMBER 16, 2021

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. Here we’ll explore how to collect Prometheus metrics and what you can achieve with them.

Metrics 198

Metrics Database Monitoring Infrastructure 198

Dynatrace

AUGUST 20, 2021

The post Metric Expressions explained appeared first on Dynatrace blog. Dynatrace news.

Metrics 246

Metrics Best Practices 246

Dynatrace

SEPTEMBER 28, 2021

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. Here are nine key DevOps metrics and DevOps KPIs that will help you be successful.

DevOps 197

DevOps Metrics Traffic Code 197

Dynatrace

MARCH 29, 2023

With this Google Cloud Ready integration, Dynatrace ensures that AlloyDB for PostgreSQL users can now ingest metrics along with existing Google Cloud data. The post Dynatrace announces support of Google Cloud’s AlloyDB for PostgreSQL metrics ingest appeared first on Dynatrace news.

Metrics 218

Metrics Google Cloud Database 218

Dynatrace

OCTOBER 17, 2022

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. There are two stages where data is analyzed.

Metrics 175

Metrics Monitoring Infrastructure Strategy 175

DZone

JULY 3, 2022

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. This is the second in a series of blogs discussing unified observability with microservices and the Oracle database.

Metrics 246

Metrics DevOps Database Code 246

Dynatrace

DECEMBER 22, 2020

Welcome back to the blog series where we provide you with deep dives into the latest observability awesomeness from Dynatrace , demonstrating how we bring scale, zero configuration, automatic AI driven alerting, and root cause analysis to all your custom metrics, including open source observability frameworks like StatsD, Telegraf, and Prometheus.

Metrics 165

Metrics Monitoring Open Source Tuning 165

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".

Code 223

Code Metrics Engineering Performance 223

DZone

JUNE 16, 2023

Over the course of this workshop, you will learn what Prometheus is, what it is not, install it, start collecting metrics, and learn all the things you need to know to become effective at running Prometheus in your observability stack.

Metrics 174

Metrics Open Source Monitoring Availability 174

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.

Monitoring 256

Monitoring Metrics Efficiency DevOps 256

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.

Metrics 257

Metrics Java Architecture Monitoring 257

DZone

OCTOBER 4, 2023

In the next few sections, we'll take a closer look at the three pillars of Observability: Metrics, Logs, and Traces. You can use the data from Observability to identify and troubleshoot problems, optimize performance, and improve security.

Metrics 108

Metrics Systems Performance 108

DZone

JUNE 11, 2023

Application logs and metrics are vital for any application development or maintenance process. However, managing and analyzing logs and metrics can be a daunting task, especially if the application generates a large volume of data.

Metrics 140

Metrics Open Source Analytics Engineering 140

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. We’re therefore happy to introduce the new metric browser , available as an Early Adopter release with Dynatrace version 1.207.

Metrics 147

Metrics Analytics Availability Monitoring 147

Dynatrace

APRIL 7, 2022

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. Micrometer uses a registry to export metrics to monitoring systems.

Metrics 205

Metrics Cache Latency Java 205

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. Seamlessly report and be alerted on topology-related custom metrics.

Metrics 244

Metrics Analytics Monitoring Storage 244

Dynatrace

MAY 17, 2023

That is, relying on metrics, logs, and traces to understand what software is doing and where it’s running into snags. In addition to tracing, observability also defines two other key concepts, metrics and logs. When software runs in a monolithic stack on on-site servers, observability is manageable enough. What is OpenTelemetry?

Metrics 178

Metrics Open Source Code Cache 178

Dynatrace

OCTOBER 1, 2021

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. If you’ve read about observability, you likely know that collecting the measurements of logs, metrics, and distributed traces are the three key pillars to achieving success.

Metrics 363

Metrics Monitoring Cloud Infrastructure 363

Percona

NOVEMBER 6, 2023

In this article, we will see how someone can monitor Custom Resources that are created by the Operators with kube-state-metrics (KSM), a standard and widely adopted service that listens to the Kubernetes API server and generates metrics. Once captured, the metrics are exposed. kubectl get pxc pxc-1 -oyaml | yq 'del(.status.conditions)

Metrics 72

Metrics Monitoring Database Code 72

Dynatrace

MARCH 16, 2022

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. Whatever your use case, when log data reflects changes in your infrastructure or business metrics, you need to extract the metrics and monitor them.

Metrics 211

Metrics Lambda Monitoring Infrastructure 211

DZone

JANUARY 23, 2023

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. Combined with QuestDB’s custom SQL extensions, its built-in SQL support makes writing complex queries a breeze.

Metrics 122

Metrics Infrastructure Database Cloud 122

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.

Performance Testing 214

Performance Testing Metrics Testing Performance 214

Dynatrace

AUGUST 2, 2021

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. Examples of metric calculations. Dynatrace news.

Metrics 245

Metrics Code Analytics Availability 245

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. In Part 3 we discussed how the Davis AI can analyze your metrics from scripting languages like Bash or PowerShell.

Metrics 178

Metrics Monitoring Open Source Availability 178

Dynatrace

SEPTEMBER 1, 2021

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

Metrics 226

Metrics AWS 226

Dynatrace

AUGUST 23, 2021

The post Deliver actionable observability through metric expressions appeared first on Dynatrace blog. Dynatrace news.

Metrics 200

Metrics Analytics 200

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. In Part 3 we discussed how the Davis AI can analyze your metrics from scripting languages like Bash or PowerShell.

Metrics 161

Metrics Monitoring Open Source Code 161

Dynatrace

MARCH 30, 2023

UK Home Office: Metrics Meets Service with Dimitris Perdikou Follow the Tech Transforms podcast Follow Tech Transforms on Twitter , LinkedIn , Instagram , and Facebook to get the latest updates on new episodes! Listen in to learn about the innovative steps that the USPTO has taken to develop new ways of working.

Metrics 168

Metrics Social Media Engineering Infrastructure 168

Dynatrace

APRIL 7, 2022

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. Micrometer uses a registry to export metrics to monitoring systems.

Metrics 130

Metrics Cache Latency Java 130

Dynatrace

APRIL 7, 2022

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. Micrometer uses a registry to export metrics to monitoring systems.

Metrics 130

Metrics Cache Latency Java 130

Dynatrace

OCTOBER 21, 2021

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. At Dynatrace we’re lucky to have Dynatrace monitor our workloads running on K8s.

Metrics 215

Metrics DevOps Engineering Monitoring 215

Dynatrace

NOVEMBER 3, 2020

Welcome to the blog series where we give you a deeper dive into the latest awesomeness around Dynatrace : how we bring scale, zero configuration, automatic AI driven alerting, and root cause analysis to all your custom metrics, including open source observability frameworks like StatsD, Telegraf, and Prometheus.

Metrics 156

Metrics Monitoring Open Source Traffic 156

Dynatrace

OCTOBER 15, 2021

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. The data life cycle has multiple steps from start to finish.

Open Source 217

Open Source Metrics Cloud Architecture 217

Dynatrace

APRIL 8, 2022

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. Also depicted is Dynatrace instrumentation of the pods that deliver metrics and trace data to the Dynatrace environment.

Metrics 177

Metrics Software Architecture Monitoring Analytics 177

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. New OpenTelemetry metrics exporters provide the broadest language support on the market.

Metrics 151

Metrics Open Source Java Tuning 151