Blog, Metrics and Monitoring - Technology Performance Pulse

Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

JANUARY 25, 2024

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Redis returns a big list of database metrics when you run the info command on the Redis shell. You can pick a smart selection of relevant metrics from these.

Metrics

Metrics Monitoring Latency Cache

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

Dynatrace

AUGUST 5, 2020

Dynatrace Synthetic Monitoring allows you to proactively monitor the availability of your public as well as your internal web applications and API endpoints from locations around the globe or important internal locations such as branch offices. Synthetic monitors help you find issues before they affect your customers.

Metrics

Metrics Monitoring Performance Benchmarking

Observability engineering: Getting Prometheus metrics right for Kubernetes with Dynatrace and Kepler

Dynatrace

DECEMBER 18, 2023

To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus. Named after the Greek god who brought fire down from Mount Olympus, Prometheus metrics have been transforming observability since the project’s inception in 2012.

Metrics

Metrics Engineering Energy Tuning

What is observability? Not just logs, metrics and traces

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. What is the difference between monitoring and observability? Is observability really monitoring by another name? What is observability? In short, no.

Metrics

Metrics Open Source Monitoring Infrastructure

Percona Operators Custom Resource Monitoring With Kube-state-metrics

Percona

NOVEMBER 6, 2023

With Percona Operators , users can easily deploy, monitor, and manage databases orchestrated by Kubernetes, making it easier and more efficient to run databases at scale. Our Operators come with Custom Resources that have their own statuses and fields to ease monitoring and troubleshooting. Once captured, the metrics are exposed.

Metrics

Metrics Monitoring Database Cache

How to collect Prometheus metrics in Dynatrace

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

Metrics Infrastructure Open Source Database

Observability vs. monitoring: What’s the difference?

Dynatrace

NOVEMBER 3, 2021

This trend is prompting advances in both observability and monitoring. But exactly what are the differences between observability vs. monitoring? Monitoring and observability provide a two-pronged approach. To get a better understanding of observability vs monitoring, we’ll explore the differences between the two.

Monitoring

Monitoring Metrics DevOps Scalability

9 key DevOps metrics for success

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

DevOps Metrics Traffic Efficiency

Real user monitoring vs. synthetic monitoring: Understanding best practices

Dynatrace

JUNE 27, 2022

As businesses compete for customer loyalty, it’s critical to understand the difference between real-user monitoring and synthetic user monitoring. However, not all user monitoring systems are created equal. What is real user monitoring? RUM gathers information on a variety of performance metrics.

Best Practices

Best Practices Monitoring Wireless Traffic

Transform log data into actionable metrics and have Davis AI do the work for you

Dynatrace

MARCH 16, 2022

Over the last year, Dynatrace extended its AI-powered log monitoring capabilities by providing support for all log data sources. We added monitoring and analytics for log streams from Kubernetes and multicloud platforms like AWS, GCP, and Azure, as well as the most widely used open-source log data frameworks.

Metrics

Metrics Lambda Infrastructure Monitoring

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

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. Running metric queries on a subset of entities for live monitoring and system overviews.

Metrics

Metrics Operating System Tuning Monitoring

AI-driven analysis of Spring Micrometer metrics in context, with typology at scale

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

Metrics Latency Java Cache

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

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

Metrics Open Source Tuning Traffic

Kubernetes workload troubleshooting with metrics, logs, and traces

Dynatrace

OCTOBER 21, 2021

There’s no lack of metrics, logs, traces, or events when monitoring your Kubernetes (K8s) workloads. At Dynatrace we’re lucky to have Dynatrace monitor our workloads running on K8s. Screenshots are however always great as I think they are interesting for the engineers and make my life in writing those blogs easier ??.

Metrics

Metrics DevOps Engineering Strategy

How digital experience monitoring helps deliver business observability

Dynatrace

APRIL 26, 2022

Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. What is digital experience monitoring? Primary digital experience monitoring tools.

Monitoring

Monitoring Social Media IoT Metrics

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

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

Metrics Analytics Storage Monitoring

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

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

Metrics Open Source Monitoring Analytics

Monitoring a PostgreSQL Patroni Cluster

Percona

JUNE 9, 2023

Percona Monitoring and Management (PMM) boasts many functionalities that support its extension, be it by using Custom Queries, Custom Scripts, or by collecting data from already available External Exporters. In this short blog post, we will see how to quickly (and easily) monitor a PostgreSQL cluster managed by Patroni.

Monitoring

Monitoring Metrics Open Source Database

What is API monitoring?

Dynatrace

OCTOBER 4, 2021

As a result, API monitoring has become a must for DevOps teams. So what is API monitoring? What is API Monitoring? API monitoring is the process of collecting and analyzing data about the performance of an API in order to identify problems that impact users. The need for API monitoring. Ways to monitor APIs.

Monitoring

Monitoring Latency Metrics Availability

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

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

Metrics Open Source Monitoring Technology

Identify issues immediately with actionable metrics and context in Dynatrace Problem view

Dynatrace

JUNE 3, 2022

So, whenever your end users’ digital experience is bogged down by a problem, whether it’s the result of a synthetic test (browser and synthetic), mobile app monitoring, or web monitoring, your teams need to see the most pertinent information about the impact and the root cause at a glance.

Metrics

Metrics Mobile IoT Monitoring

AWS observability: AWS monitoring best practices for resiliency

Dynatrace

NOVEMBER 22, 2021

These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor. These challenges make AWS observability a key practice for building and monitoring cloud-native applications. AWS monitoring best practices. Automate monitoring tasks.

Best Practices

Best Practices AWS Monitoring Serverless

Dynatrace ensures continuous software quality by combining synthetic monitoring and automatic release validation

Dynatrace

JUNE 28, 2022

Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. This metric indicates how quickly software can be released to production. Dynatrace news.

Monitoring

Monitoring Software Software DevOps

What is real user monitoring (RUM)?

Dynatrace

JANUARY 13, 2022

Real user monitoring can help you catch these issues before they impact the bottom line. What is real user monitoring? Real user monitoring (RUM) is a performance monitoring process that collects detailed data about a user’s interaction with an application. Real user monitoring collects data on a variety of metrics.

Monitoring

Monitoring Latency Mobile Best Practices

Find and analyze important metrics faster with the new metric browser

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

Metrics Analytics Availability Monitoring

Proactive self-monitoring ensures seamless operations for Dynatrace Managed at scale

Dynatrace

FEBRUARY 24, 2022

Many of our customers—the world’s largest enterprises—have embraced the Dynatrace SaaS approach to monitoring, which provides critical business insights powered by AI and automation for globally-distributed, heterogeneous IT landscapes. New self-monitoring environment provides out-of-the-box insights and custom alerting.

Monitoring

Monitoring Metrics Analytics Processing

Gain fresh insights with key performance metrics for synthetic browser monitors

Dynatrace

APRIL 23, 2019

Synthetic monitors provide a perfect means of continually monitoring the performance baselines of your web applications. However, understanding the performance of different application types requires an emphasis on different performance metrics, that is, key performance metrics. Pick the best metrics for your application.

Metrics

Metrics Monitoring Performance Speed

SLO burn: SLO monitoring and alerting on SLOs using error-budget burn rates with unified observability and AI

Dynatrace

AUGUST 16, 2023

SLO monitoring and alerting on SLOs using error-budget burn rates are critical capabilities that can help organizations achieve that goal. SLOs are specifically processed metrics that help businesses balance breakthroughs with reliability. What is SLO monitoring? And what is an error budget burn rate?

Monitoring

Monitoring DevOps Metrics Innovation

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

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. Dynatrace news.

Metrics

Metrics Open Source Monitoring Traffic

Monitor your technology stack with Dynatrace and Amazon Managed Service for Prometheus

Dynatrace

SEPTEMBER 29, 2021

Prometheus is an open-source monitoring and alerting toolkit for services and applications that run in containers. Prometheus collects metrics from a number endpoints that expose metrics in the OpenMetrics format. The Dynatrace AMP extension enables you to easily ingest Prometheus metrics into Dynatrace. Dynatrace news.

Technology

Technology Technology Monitoring AWS

AI-driven analysis of Spring Micrometer metrics in context, with topology at scale

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

Metrics Latency Java Cache

AI-driven analysis of Spring Micrometer metrics in context, with topology at scale

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

Metrics Latency Java Cache

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

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. You likely want to avoid exposing this information to all the other users who have access to the monitoring environment.

Metrics

Metrics Retail Monitoring Analytics

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

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. Beginnings of BizDevOps. Why stop at your own virtual walls?

DevOps

DevOps Metrics Virtualization Strategy

Connect Fluentd logs with Dynatrace traces, metrics, and topology data to enhance Kubernetes observability

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

Metrics Analytics Software Architecture Open Source

Dynatrace adds monitoring support for Microsoft Azure Kubernetes Service deployments using Azure Linux container host

Dynatrace

MAY 24, 2023

Dynatrace is proud to provide deep monitoring support for Azure Linux as a container host operating system (OS) platform for Azure Kubernetes Services (AKS) to enable customers to operate efficiently and innovate faster. Why monitor Azure Linux container host for AKS? How Can Dynatrace Monitor Azure Linux container host for AKS?

Azure

Azure Monitoring Operating System Virtualization

A practical guide to monitoring Python Applications with Dynatrace

Dynatrace

APRIL 16, 2021

Monitoring and observability are important topics for any developer, architect, or Site Reliability Engineer (SRE), and this holds true independent of the language or runtime of choice. The idea, and most of the content for this blog, comes from one of our Partners; Stephan Dannewitz , DevOps & Site Reliability Engineer at avodaq AG.

Monitoring

Monitoring Open Source Best Practices DevOps

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

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. In many cases, metric behavior changes over time.

Metrics

Metrics Innovation Strategy Monitoring

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

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. Let the Davis AI analyze your metrics from scripting languages like Bash or PowerShell. Dynatrace news.

Metrics

Metrics Open Source Monitoring Engineering

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

Dynatrace

DECEMBER 18, 2020

Wouldn’t it be great if I had an industry-leading software intelligence platform to monitor these apps, pinpoint root causes of slow performance or errors, and gain insights about my users’ experience? At Dynatrace we live and breathe the concept of “Drink Your Own Champagne” (DYOC), so of course, I want to use Dynatrace to monitor my apps.

Analytics

Analytics Metrics IoT Monitoring

AI-powered infrastructure monitoring for your SAP HANA database (Preview)

Dynatrace

DECEMBER 9, 2020

Don’t worry, when it comes to SAP monitoring, Dynatrace has you covered. Dynatrace ActiveGate extensions allow you to integrate Dynatrace monitoring with any remote technology that exposes an interface. Today we’re proud to announce that we’ve extended our SAP monitoring capabilities to support SAP HANA databases.

Infrastructure

Infrastructure Database Monitoring Metrics

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

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. ?? There are many use cases for using this API.

Innovation

Innovation Metrics Hardware Games

A look behind the scenes of AWS Lambda and our new Lambda monitoring extension

Dynatrace

FEBRUARY 25, 2021

This has led to the recent release of our new Lambda monitoring extension supporting Node.js, Java, and Python. This extension was built from scratch to take into account all we’ve learned and the special requirements for monitoring ephemeral, auto-scaling, micro VMs like AWS Lambda. A look under the hood of AWS Lambda.

Lambda

Lambda AWS Monitoring Serverless

Extend infrastructure observability with JMX Extensions and additional full-stack metrics

Dynatrace

APRIL 20, 2020

With Dynatrace Infrastructure Monitoring you get a complete solution for the monitoring of cloud platforms and virtual infrastructure, along with log monitoring and AIOps. Monitor any infrastructure component and backing service that’s written in Java. Monitor additional metrics. How to get access.

Infrastructure

Infrastructure Metrics Java Virtualization

Crucial Redis Monitoring Metrics You Must Watch

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

Trending Sources

Observability engineering: Getting Prometheus metrics right for Kubernetes with Dynatrace and Kepler

What is observability? Not just logs, metrics and traces

Percona Operators Custom Resource Monitoring With Kube-state-metrics

How to collect Prometheus metrics in Dynatrace

Observability vs. monitoring: What’s the difference?

9 key DevOps metrics for success

Real user monitoring vs. synthetic monitoring: Understanding best practices

Transform log data into actionable metrics and have Davis AI do the work for you

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

AI-driven analysis of Spring Micrometer metrics in context, with typology at scale

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

Kubernetes workload troubleshooting with metrics, logs, and traces

How digital experience monitoring helps deliver business observability

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

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

Monitoring a PostgreSQL Patroni Cluster

What is API monitoring?

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

Identify issues immediately with actionable metrics and context in Dynatrace Problem view

AWS observability: AWS monitoring best practices for resiliency

Dynatrace ensures continuous software quality by combining synthetic monitoring and automatic release validation

What is real user monitoring (RUM)?

Find and analyze important metrics faster with the new metric browser

Proactive self-monitoring ensures seamless operations for Dynatrace Managed at scale

Gain fresh insights with key performance metrics for synthetic browser monitors

SLO burn: SLO monitoring and alerting on SLOs using error-budget burn rates with unified observability and AI

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

Monitor your technology stack with Dynatrace and Amazon Managed Service for Prometheus

AI-driven analysis of Spring Micrometer metrics in context, with topology at scale

AI-driven analysis of Spring Micrometer metrics in context, with topology at scale

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

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

Connect Fluentd logs with Dynatrace traces, metrics, and topology data to enhance Kubernetes observability

Dynatrace adds monitoring support for Microsoft Azure Kubernetes Service deployments using Azure Linux container host

A practical guide to monitoring Python Applications with Dynatrace

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

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

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

AI-powered infrastructure monitoring for your SAP HANA database (Preview)

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

A look behind the scenes of AWS Lambda and our new Lambda monitoring extension

Extend infrastructure observability with JMX Extensions and additional full-stack metrics

Stay Connected