Dynatrace

APRIL 7, 2022

Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. Since Micrometer conforms data to the right form and then sends it off for analysis, companies need an easy way to analyze massive amounts of data , get actionable insights in real time, and interpret the resulting alerts and responses.

Metrics 130

Metrics Java Latency Cache 130

Dynatrace

DECEMBER 13, 2023

As a result, organizations need to monitor mobile app performance metrics that are meaningful and actionable by gaining adequate observability of mobile app performance. There are many common mobile app performance metrics that are used to measure key performance indicators (KPIs) related to user experience and satisfaction.

Best Practices 211

Best Practices Mobile Metrics Performance 211

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 222

Java Metrics Servers Code 222

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 227

Metrics Monitoring Performance Benchmarking 227

Dynatrace

APRIL 4, 2023

Even in higher education, IT staff depend on key visibility into their complex ecosystems of applications and infrastructure to monitor and manage application health. They also explored how Dynatrace is advancing visibility and health monitoring with new AI-driven health view features. ” One major gap was application health.

Education 227

Education Monitoring C++ Design 227

Dynatrace

APRIL 20, 2023

Modern organizations ingest petabytes of data daily, but legacy approaches to log analysis and management cannot accommodate this volume of data. Traditional log analysis evaluates logs and enables organizations to mitigate myriad risks and meet compliance regulations. Grail enables 100% precision insights into all stored data.

Analytics 201

Analytics Infrastructure Storage Architecture 201

Dynatrace

FEBRUARY 5, 2020

In Part 1 of this blog series , we presented a few Dynatrace customer use cases for multidimensional analysis. To start your analysis, select Diagnostic tools from the navigation menu and select Multidimensional analysis. Select a Metric and Aggregation to get started. Dynatrace news.

Metrics 167

Metrics Code Tuning Monitoring 167

Dynatrace

JULY 31, 2020

We’re happy to announce that with Dynatrace version 1.198, we’ve dramatically improved CPU analysis, allowing you to easily understand CPU consumption over time, in the context of your workloads. All deeper analysis actions are performed across the entire timeframe. Fully automated code-level visibility.

Monitoring 243

Monitoring Performance Java Processing 243

Dynatrace

FEBRUARY 2, 2023

But are observability platforms—born from the collision between the demands of cloud computing and the limitations of APM and infrastructure monitoring—the best solution for managing business analytics? Observability fault lines The monitoring of complex and dynamic IT systems includes real-time analysis of baselines, trends, and anomalies.

Analytics 215

Analytics Metrics DevOps Storage 215

Dynatrace

NOVEMBER 4, 2024

Monitoring the health and performance of your databases is essential to ensuring optimal application functionality. While infrastructure-level monitoring provides valuable insights, it might not reveal the root causes of database-related slowdowns. To address this, deeper analysis at the query level is necessary.

Database 195

Database Performance Metrics Monitoring 195

Dynatrace

NOVEMBER 20, 2024

Combined with Microsoft Sentinel, Dynatrace automation and AI capabilities provide SecOps teams with deeper intelligence to detect attacks, vulnerabilities, audit logs, and problem events based on metrics, logs, and traces it collects from monitored environments. Runtime vulnerability analysis. Runtime application protection.

Best Practices 275

Best Practices Innovation Azure Cloud 275

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 190

Metrics Engineering Energy Tuning 190

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 234

Monitoring Metrics DevOps Scalability 234

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. “To release or not to release?” Dynatrace uses built-in version detection strategies.

Software 244

Software Software Strategy Metrics 244

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. Redis®, a powerful in-memory data store, is no exception.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

MARCH 12, 2024

Most business processes are not monitored. Business processes can be quite complex, often including conditional branches and loops; many business process monitoring initiatives are abandoned or simplified after attempting to map the process flow. New detailed flow views enhance process analysis.

Processing 262

Processing Monitoring Analytics C++ 262

Dynatrace

OCTOBER 4, 2022

Still, it is critical to collect, store, and make easily accessible these massive amounts of log data for analysis. Current analytics tools are fragmented and lack context for meaningful analysis. Find time- or entity-bound anomalies or patterns in your infrastructure monitoring logs.

Analytics 246

Analytics Artificial Intelligence Storage Serverless 246

Dynatrace

JUNE 27, 2023

An hourly rate for Infrastructure Monitoring The Dynatrace Platform Subscription (DPS) offers a flat rate for Infrastructure Monitoring , providing observability for cloud platforms, containers, networks, and data center technologies with no limits on host memory and with AIOps included.

Infrastructure 199

Infrastructure Monitoring Metrics Network 199

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. You can now control the displayed unit as well as the number format.

Metrics 242

Metrics Analytics Monitoring Efficiency 242

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 214

DevOps Metrics Traffic Efficiency 214

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 234

Metrics Mobile IoT Monitoring 234

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 363

Metrics Open Source Monitoring Cloud 363

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 178

Metrics Open Source Tuning Traffic 178

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 246

Metrics Analytics Storage Monitoring 246

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 226

Metrics Lambda Infrastructure Monitoring 226

Dynatrace

FEBRUARY 9, 2024

One of the more popular use cases is monitoring business processes, the structured steps that produce a product or service designed to fulfill organizational objectives. By treating processes as assets with measurable key performance indicators (KPIs), business process monitoring helps IT and business teams align toward shared business goals.

Processing 203

Processing Monitoring Analytics Games 203

Dynatrace

JANUARY 11, 2023

In fact, according to a Dynatrace global survey of 1,300 CIOs , 99% of enterprises utilize a multicloud environment and seven cloud monitoring solutions on average. What is cloud monitoring? Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 234

Cloud Monitoring Best Practices Infrastructure 234

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 214

Monitoring Software Software DevOps 214

Dynatrace

FEBRUARY 28, 2024

Dynatrace container monitoring supports customers as they collect metrics, traces, logs, and other observability-enabled data to improve the health and performance of containerized applications. The post Container monitoring for VA Platform One helps VA achieve workload performance appeared first on Dynatrace news.

Monitoring 196

Monitoring Artificial Intelligence Performance Healthcare 196

Dynatrace

JULY 22, 2024

Observability Observability is the ability to determine a system’s health by analyzing the data it generates, such as logs, metrics, and traces. There are three main types of telemetry data: Metrics. Metrics are typically aggregated and stored in time series databases for monitoring and alerting purposes.

Latency 246

Latency Best Practices Metrics Open Source 246

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. Dynatrace news.

Metrics 223

Metrics Innovation Strategy Monitoring 223

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 188

Metrics Open Source Monitoring Analytics 188

Dynatrace

SEPTEMBER 5, 2024

We’re excited to announce several log management innovations, including native support for Syslog messages, seamless integration with AWS Firehose, an agentless approach using Kubernetes Platform Monitoring solution with Fluent Bit, a new out-of-the-box ingest dashboard, and OpenPipeline ingest improvements.

Innovation 273

Innovation AWS Analytics Storage 273

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. The post Kubernetes workload troubleshooting with metrics, logs, and traces appeared first on Dynatrace blog.

Metrics 229

Metrics DevOps Engineering Strategy 229

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 173

Metrics Open Source Monitoring Technology 173

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 190

Monitoring Latency Metrics Availability 190

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 223

Technology Technology Monitoring AWS 223