Dynatrace

FEBRUARY 2, 2023

This is achieved, in part, by establishing actionable statistical accuracy —not necessarily precise accuracy —through practical levels of metric sampling, aggregation, and extrapolation. Introducing metric extraction from business events Beginning with Dynatrace SaaS version 1.257, you can extract metrics from ingested business events.

Analytics 197

Analytics Metrics DevOps Storage 197

Dynatrace

MAY 7, 2024

Fluent Bit is a telemetry agent designed to receive data (logs, traces, and metrics), process or modify it, and export it to a destination. However, you can also use Fluent Bit as a processor because you can perform various actions on the data. Observability: Elevating Logs, Metrics, and Traces!

Best Practices 239

Best Practices IoT Metrics Storage 239

Dynatrace

AUGUST 16, 2022

For example: Infrastructure services might provide data about request timings that can give you a precise overview of system health, but the data is logged in a custom format. Log files provide an unparalleled level of detail about the performance of your software.

Processing 184

Processing Metrics Monitoring Java 184

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 197

Metrics Infrastructure Open Source Database 197

Dynatrace

AUGUST 25, 2023

This article explores SLOs for service performance. According to the Google Site Reliability Engineering (SRE) handbook, monitoring the four golden signals is crucial in delivering high-performing software solutions. While this connection might sound simple, finding the right metrics to measure the needed SLIs takes time and effort.

Performance 171

Performance Latency Traffic Metrics 171

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 177

Metrics Open Source Traffic Cache 177

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 Storage Monitoring 244

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.

Metrics 245

Metrics Analytics Google Code 245

Dynatrace

APRIL 8, 2022

Fluentd is an open-source data collector that unifies log collection, processing, and consumption. It collects, processes, and outputs log files to and from a wide variety of technologies. Processing plugins parse (normalize), filter, enrich (tagging), format, and buffer log streams.

Metrics 176

Metrics Analytics Software Architecture Open Source 176

Speed Curve

APRIL 14, 2024

I've been spending a lot of time looking at the performance of European sites lately, and have found that the consent management platforms (CMPs) are consistently creating a bit of a false reality for folks when trying to understand performance using synthetic monitoring. What challenges do CMPs create for performance?

Performance 127

Performance Best Practices Metrics Internet 127

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 146

Metrics Analytics Availability Monitoring 146

Dynatrace

FEBRUARY 21, 2024

Automating quality gates is ideal, as it minimizes manually checking and validating key metrics throughout the SDLC. By actively monitoring metrics such as error rate, success rate, and CPU load, quality gates instill confidence in teams during software releases. Fewer expensive fixes. But how do they function in practice?

Speed 203

Speed Software Software Latency 203

Dynatrace

OCTOBER 15, 2021

OpenTelemetry (also referred to as OTel) is an open-source observability framework made up of a collection of tools, APIs, and SDKs, that enables IT teams to instrument, generate, collect, and export telemetry data for analysis and understand software performance and behavior. Logs, metrics, and traces make up the bulk of all telemetry data.

Open Source 216

Open Source Metrics Cloud Transportation 216

Dynatrace

APRIL 8, 2022

Fluentd is an open-source data collector that unifies log collection, processing, and consumption. It collects, processes, and outputs log files to and from a wide variety of technologies. Processing plugins parse (normalize), filter, enrich (tagging), format, and buffer log streams.

Metrics 130

Metrics Analytics Software Architecture Open Source 130

Dynatrace

FEBRUARY 10, 2023

These are just some of the topics being showcased at Perform 2023 in Las Vegas. Perform 2023 news At Perform 2023 in Las Vegas, the headliner theme is IT automation. By automating workflows, teams throughout the organization can eliminate manual processes and improve outcomes. We’ll post news here as it happens!

Efficiency 272

Efficiency Performance Analytics DevOps 272

Dynatrace

MAY 6, 2024

A tight integration between Red Hat Ansible Automation Platform, Dynatrace Davis ® AI, and the Dynatrace observability and security platform enables closed-loop remediation to automate the process from: Detecting a problem. With DQL, the workflow trigger to initiate a required automation and remediation process can be defined.

DevOps 282

DevOps Software Engineering Games Java 282

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 155

Metrics Open Source Monitoring Traffic 155

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 150

Metrics Open Source Tuning Analytics 150

Smashing Magazine

FEBRUARY 27, 2024

If you haven’t heard, INP is replacing the First Input Delay (FID) metric, something you can read all about here on Smashing Magazine as a guide to prepare for the change. With performance at the forefront of my mind, I decided to head over to MDN for a fresh look at the Performance API.

Performance 95

Performance Metrics Monitoring Google 95

Dynatrace

MARCH 18, 2021

DevOps metrics and digital experience data are critical to this. Dynatrace got to explore this challenge as part of our 2021 Perform series when we spoke with Mark Forrester, Digital Readiness Manager for Mitchells & Butlers (M&B) – one of the UK’s largest restaurants and bar groups. Dynatrace news. Beginnings of BizDevOps.

DevOps 209

DevOps Metrics Virtualization Strategy 209

Dynatrace

AUGUST 10, 2023

But existing business intelligence (BI) tools often lack the broad context, ease of data access, and real-time insights needed to understand and improve customer experience and complex business processes. In both examples, we used Dynatrace OneAgent® deep payload inspection to capture business data in motion.

Database 223

Database Metrics Retail Analytics 223

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. All your JMeter results in Dynatrace for better performance engineering. In our conversation, I mentioned the new Dynatrace Metrics ingestion and off we went. ??

Innovation 152

Innovation Metrics Hardware Games 152

Tasktop

JUNE 20, 2022

This is easier said than done, so we’ve designed three sets of OKRs examples for software companies to show how it’s possible. In these examples, the product value streams incorporate Flow Metrics into their key results to drive agility and a value focus. Examples of quarterly OKRs for software companies.

Software 96

Software Software Healthcare Mobile 96

DZone

JUNE 21, 2023

In the ever-evolving world of DevOps , the ability to gain deep insights into system behavior, diagnose issues, and improve overall performance is one of the top priorities. Monitoring and observability are two key concepts that facilitate this process, offering valuable visibility into the health and performance of systems.

DevOps 316

DevOps Systems Monitoring Metrics 316

Dynatrace

MAY 28, 2020

In this blog, I will be going through a step-by-step guide on how to automate SRE-driven performance engineering. Step-by-step guide: SRE-driven performance analysis with Dynatrace. The app description and supporting files such as load testing scripts are on the Keptn Example GitHub. Dynatrace news.

Engineering 189

Engineering Performance Metrics Best Practices 189

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 207

Metrics Innovation Strategy Monitoring 207

Dynatrace

MARCH 18, 2024

In a Dynatrace Perform 2024 session, Kristof Renders, director of innovation services, discussed how a stronger FinOps strategy coupled with observability can make a significant difference in helping teams to keep spiraling infrastructure costs under control and manage cloud spending. Wrong-sized resources. Unnecessary data transfer.

Best Practices 228

Best Practices Strategy Cloud AWS 228

Dynatrace

APRIL 21, 2021

Ben Rushlo, Dynatrace Vice President of DEM Services, puts it this way: “As performance degrades, user experience degrades, engagement degrades, and business outcomes degrade.” Metrics that offer measurable, repeatable insight into the user experience from the moment they arrive on a website from a mobile or desktop device.

Metrics 133

Metrics Google Website Speed 133

Dynatrace

FEBRUARY 1, 2024

Any problem, such as a simple software update overburdening a critical database, can cause a ripple effect that degrades the performance of dependent services or applications. For example, an unnoticed database strain could slow down the response time of a web frontend, resulting in poor user experience.

Infrastructure 178

Infrastructure Metrics Network Monitoring 178

Dynatrace

MAY 3, 2024

Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical. Take the example of Amazon Virtual Private Cloud (VPC) flow logs, which provide insights into the IP traffic of your network interfaces. Managing this change is difficult.

Cloud 214

Cloud Lambda AWS Analytics 214

Dynatrace

SEPTEMBER 13, 2023

The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks?

AWS 243

AWS Efficiency Azure Cloud 243

Speed Curve

SEPTEMBER 20, 2022

In this example from my local newspaper, the story image is displayed and then the consent dialog covers it. Those are just some examples of the issues we come across when measuring visitors’ experiences day-to-day. There are other examples, such as: image elements that are animated in, and. Other caveats.

Metrics 141

Metrics Retail Mobile Analytics 141

Dynatrace

APRIL 30, 2021

As organizations develop more applications and microservices, they are discovering they also need to run more performance tests in the same amount of time or less to meet service-level objectives (SLOs) that fulfill service-level agreements (SLAs). How can organizations address this process bottleneck and run more tests in less time?

Engineering 197

Engineering Testing Performance Performance Testing 197

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 206

Analytics Metrics Media Monitoring 206

Dynatrace

FEBRUARY 5, 2020

For example, we presented how a multinational travel agency uses MDA to diagnose error rates per loyalty status to make sure that their premium customers have a perfect software experience. Select a Metric and Aggregation to get started. You can choose any standard Dynatrace metric and any request attribute. Dynatrace news.

Metrics 165

Metrics Code Tuning Monitoring 165

Dynatrace

APRIL 18, 2024

Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior. Shifting left is an approach that includes software quality, performance, and security testing as a part of the SDLC.

DevOps 187

DevOps Engineering Artificial Intelligence Infrastructure 187

Dynatrace

APRIL 20, 2020

Issues that manifest themselves as performance degradation on a user’s device can often be traced back to underlying infrastructure issues. Backing services like Kafka and ActiveMQ are perfect examples—both technologies are queueing services that are written in Java and can be monitored via JMX. Monitor additional metrics.

Infrastructure 150

Infrastructure Metrics Java Virtualization 150