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 227

DevOps Latency Traffic Best Practices 227

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 243

Analytics Artificial Intelligence Storage Serverless 243

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 186

Metrics Engineering Energy Tuning 186

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

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 253

Technology Technology Scalability Availability 253

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 156

AWS Metrics Availability Lambda 156

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

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 242

Software Software Strategy Metrics 242

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 238

Metrics Analytics Monitoring Efficiency 238

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 209

DevOps Metrics Traffic Efficiency 209

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 174

Metrics Open Source Tuning Traffic 174

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 191

Infrastructure Availability Systems Retail 191

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 231

Metrics Mobile IoT Monitoring 231

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 185

Metrics Open Source Monitoring Analytics 185

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 223

Metrics Lambda Infrastructure Monitoring 223

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 189

Metrics Open Source Traffic Cache 189

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 176

Architecture Availability Infrastructure Monitoring 176

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 188

Metrics Analytics Software Architecture Open Source 188

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 219

Metrics Innovation Strategy Monitoring 219

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 169

Metrics Open Source Monitoring Technology 169

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 240

Monitoring Performance Java Processing 240

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 223

Metrics Monitoring Performance Benchmarking 223

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 Infrastructure 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 163

Metrics Open Source Monitoring Traffic 163

Dynatrace

APRIL 17, 2024

With the availability of Linux on IBM Z and LinuxONE, the IBM Z platform brings a familiar host operating system and sustainability that could yield up to 75% energy reduction compared to x86 servers. Next you can start using logs in your troubleshooting and analysis tasks. You can now install OneAgent on Linux with s390 architecture.

Operating System 214

Operating System Energy Infrastructure Architecture 214

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 Tuning Analytics 151

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 182

AWS Metrics Analytics Government 182

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

FEBRUARY 28, 2024

Exploratory data analytics is an analysis method that uses visualizations, including graphs and charts, to help IT teams investigate emerging data trends and circumvent issues, such as unexpected traffic spikes or performance degradations. Start by asking yourself what’s there, whether it’s logs, metrics, or traces.

Analytics 219

Analytics Metrics Media Monitoring 219

Dynatrace

MAY 23, 2024

With the AI-powered Dynatrace platform now generally available on Azure, Azure Native Dynatrace Service customers can now leverage the full AI power of the Dynatrace platform directly from Azure. Clouds provides resource properties, metrics, problems, and events in a single view, as shown below.

Azure 207

Azure Cloud Metrics Innovation 207

Dynatrace

DECEMBER 28, 2020

Welcome back to the blog series where we provide you with deeper 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 153

Metrics Open Source Monitoring Engineering 153

Dynatrace

NOVEMBER 27, 2020

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. In Part 1 , we announced our new OpenTelemetry custom-metric exporters that provide the broadest language coverage on the market, including Go , .NET record(value); }.

Metrics 143

Metrics Open Source Lambda Serverless 143

Dynatrace

AUGUST 17, 2023

With PurePath® distributed tracing, method hotspots, service flows, memory, and GC analysis, Dynatrace earned its reputation.Since then, Spring and Dynatrace have matured and improved, especially for containers, cloud integrations, and Kubernetes. Soon after, Dynatrace built a registry for exporting Micrometer metrics.

Metrics 207

Metrics Analytics Speed Java 207

Dynatrace

JULY 31, 2020

We’re happy to announce the General Availability of cross-environment dashboarding capabilities (having released this functionality in an Early Adopter release with Dynatrace version 1.172 back in June 2019). Leverage overview dashboards for problem analysis over multiple environments. Dynatrace news.

Availability 185

Availability Best Practices Monitoring Network 185

Dynatrace

MAY 6, 2024

Red Hat and Dynatrace integration overview The strategic partnership and integration between Red Hat and Dynatrace are game changers that solve each mentioned pain point: Easily ingest (and gain precise insights into) your logs, metrics, traces, and business data. In-context topology identification.

DevOps 292

DevOps Software Engineering Games Java 292

Dynatrace

JUNE 25, 2020

Dynatrace Managed is intrinsically highly available as it stores three copies of all events, user sessions, and metrics across its cluster nodes. Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization. Dynatrace news.

Availability 253

Availability Hardware Latency Traffic 253