Dynatrace

FEBRUARY 9, 2023

Luckily, Dynatrace provides in-depth memory allocation monitoring, which allows fine-grained allocation analysis and can even point to the root cause of a problem. While memory allocation analysis can show wasteful or inefficient code, it can also reveal different problems, one of which we’ll examine in this blog post.

Java 221

Java Metrics Servers Code 221

Dynatrace

JANUARY 17, 2020

In an existing application landscape, however, it can be difficult to get to those metrics. Dynatrace customers have the ability to leverage PurePath distributed tracing functionality in driving adhoc multidimensional analysis (MDA) on any kind of data available within their microservices. Here’s how Dynatrace customers do it.

Metrics 163

Metrics Code Tuning Programming 163

Dynatrace

OCTOBER 4, 2022

Limited data availability constrains value creation. Still, it is critical to collect, store, and make easily accessible these massive amounts of log data for analysis. Even in cases where all data is available, new challenges can arise. Current analytics tools are fragmented and lack context for meaningful analysis.

Analytics 246

Analytics Artificial Intelligence Storage Serverless 246

Dynatrace

FEBRUARY 15, 2023

SREs use Service-Level Indicators (SLI) to see the complete picture of service availability, latency, performance, and capacity across various systems, especially revenue-critical systems. Additionally, you can easily use any previously defined metrics and SLOs from your environments.

DevOps 230

DevOps Latency Traffic Best Practices 230

Dynatrace

APRIL 20, 2022

In October 2021, Dynatrace announced the availability of the Dynatrace Software Intelligence Platform on Google Cloud as a software as a service (SaaS) solution. Today, we are excited to announce this SaaS delivery model is now generally available (GA) to the public through Dynatrace sales channels. Dynatrace news.

Google 244

Google Availability Cloud Infrastructure 244

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. Dynatrace ingests this data to perform root-cause analysis using the Dynatrace Davis® AI engine.

AWS 158

AWS Metrics Availability Lambda 158

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 189

Metrics Engineering Energy Tuning 189

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 213

DevOps Metrics Traffic Efficiency 213

Dynatrace

APRIL 28, 2021

Answering this question requires careful management of release risk and analysis of lots of data related to each release version of your software. Answers provided by built-in Dynatrace Release Analysis. How Release Analysis works. Services and metrics that show version information will be added.

Software 243

Software Software Strategy Metrics 243

Dynatrace

NOVEMBER 3, 2023

address these limitations and brings new monitoring and analytical capabilities that weren’t available to Extensions 1.0: Comprehensive metrics support Extensions 2.0 These bundles ensure the provisioning of pre-configured dashboards, alerts, unified analysis views, and a topology model that relates metrics and entities.

Technology 255

Technology Technology Scalability Availability 255

Dynatrace

SEPTEMBER 14, 2022

Does that mean that reactive and exploratory data analysis, often done manually and with the help of dashboards, are dead? A year ago, we introduced the Data explorer , the recommended tool for exploring and visualizing your metric data in Dynatrace. Stacked area and stacked column charts are now also available in the Data explorer.

Metrics 241

Metrics Analytics Monitoring Efficiency 241

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 177

Metrics Open Source Tuning Traffic 177

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 130

Metrics Monitoring Latency Cache 130

Dynatrace

NOVEMBER 20, 2024

Dynatrace, available as an Azure-native service , has a longstanding partnership with Microsoft, deeply rooted in a strong “build with” approach to deliver seamless user experience. Runtime vulnerability analysis. Runtime vulnerability analysis helps reduce the time and cost to find and fix application vulnerabilities.

Best Practices 274

Best Practices Innovation Azure Cloud 274

Dynatrace

NOVEMBER 22, 2022

The nirvana state of system uptime at peak loads is known as “five-nines availability.” In its pursuit, IT teams hover over system performance dashboards hoping their preparations will deliver five nines—or even four nines—availability. But is five nines availability attainable? Downtime per year. 90% (one nine).

Infrastructure 195

Infrastructure Availability Systems Retail 195

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. Unlocking the power of Prometheus metrics.

Metrics 187

Metrics Open Source Monitoring Analytics 187

Dynatrace

JUNE 3, 2022

For DEM problems, the business impact analysis shows the number of users that are potentially impacted by a problem. The root cause analysis section now contains links to custom events for alerting and manual performance thresholds. This ensures greater agility and reduces the time to resolution. How to get started. New to Dynatrace?

Metrics 234

Metrics Mobile IoT Monitoring 234

Dynatrace

NOVEMBER 4, 2024

To address this, deeper analysis at the query level is necessary. Additionally, it allows you to analyze how resource consumption or performance metrics for a given query have changed over time. Top Queries and Execution Plans are available in the Databases app.

Database 194

Database Performance Metrics Monitoring 194

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. The parameter Billed Duration is only available in logs , so it makes sense to extract it from your logs so that you can keep an eye on your cloud costs.

Metrics 226

Metrics Lambda Infrastructure Monitoring 226

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 192

Metrics Open Source Traffic Cache 192

Dynatrace

APRIL 8, 2022

While Fluentd solves the challenges of collecting and normalizing Kubernetes events and logs, Kubernetes performance and availability problems can rarely be solved by investigating logs in isolation. Precise, AI-powered anomaly root-cause determination based on automatic log analysis and custom user-defined events.

Metrics 191

Metrics Analytics Software Architecture Open Source 191

Dynatrace

OCTOBER 17, 2024

The newly introduced Network devices and Details view within Hosts provide comprehensive health status information, relevant networking signals, and machine metrics—all analyzed and provided by the industry-leading combination of Dynatrace Grail™ data lakehouse and Davis ® AI. Overview of a cloud-hosted frontend web application.

Infrastructure 217

Infrastructure Network DevOps Metrics 217

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. Custom log metrics.

Metrics 222

Metrics Innovation Strategy Monitoring 222

Dynatrace

OCTOBER 16, 2024

You can now: Kickstart your creation journey using ready-made dashboards Accelerate your data exploration with seamless integration between apps Start from scratch with the new Explore interface Search for known metrics from anywhere Let’s look at each of these paths through an end-to-end use case focused on Kubernetes monitoring.

Social Media 205

Social Media Metrics Network Analytics 205

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 172

Metrics Open Source Monitoring Technology 172

Dynatrace

JULY 11, 2023

Captures metrics, traces, logs, and other telemetry data in context. Smartscape topology mapping: Dynatrace uses its Smartscape technology to semantically map metrics, traces, logs, and real user data to specific Kubernetes objects, including containers, pods, nodes, and services.

Architecture 178

Architecture Availability Infrastructure Monitoring 178

Dynatrace

SEPTEMBER 5, 2024

The more data ingestion channels you provide to the Dynatrace Davis® AI engine, the more comprehensive Dynatrace automated root cause analysis becomes. This integration with AWS Firehose simplifies observability by removing intermediary components, which allows seamless log capture and analysis directly in the Grail data lakehouse.

Innovation 273

Innovation AWS Analytics Storage 273

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 246

Metrics Analytics Google Code 246

Dynatrace

JULY 31, 2020

While in classic bare-metal stacks CPU resources are made “available” through over-provisioning, in modern SaaS environments you only pay for those CPU resources that you use—no over-provisioning of resources is required. Analyzing and optimizing CPU consumption has always been an important concern.

Monitoring 243

Monitoring Performance Java Processing 243

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. Ensure better user experience with paint-focused performance metrics. Dynatrace news.

Metrics 226

Metrics Monitoring Performance Benchmarking 226

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 Open Source Monitoring Cloud 363

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 165

Metrics Open Source Monitoring Traffic 165

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 152

Metrics Open Source Tuning Analytics 152

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. It has undergone security analysis and testing in accordance with AWS requirements.

AWS 184

AWS Metrics Analytics Government 184

Dynatrace

APRIL 8, 2022

While Fluentd solves the challenges of collecting and normalizing Kubernetes events and logs, Kubernetes performance and availability problems can rarely be solved by investigating logs in isolation. Precise, AI-powered anomaly root-cause determination based on automatic log analysis and custom user-defined events.

Metrics 130

Metrics Analytics Software Architecture Open Source 130

Dynatrace

OCTOBER 2, 2024

Dynatrace Grail™ and Davis ® AI act as the foundation, eliminating the need for manual log correlation or analysis while enabling you to take proactive action. The Clouds app provides a view of all available cloud-native services. Logs in context, along with other details, are instantly available after selecting a resource.

Analytics 247

Analytics AWS DevOps Cloud 247

Dynatrace

OCTOBER 10, 2024

Imagine you’re using a lot of OpenTelemetry and Prometheus metrics on a crucial platform. A histogram is a specific type of metric that allows users to understand the distribution of data points over a period of time. In practical applications, percentiles are particularly useful for web performance analysis.

Metrics 172

Metrics Monitoring Efficiency Availability 172