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 204

Analytics Metrics DevOps Storage 204

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 203

DevOps Metrics Traffic Efficiency 203

DZone

JULY 3, 2022

This second blog will take a deeper dive into the Metrics, Logs, and Tracing exporters (which can be found at [link] ), describing them and showing how to configure them, Grafana, alerts, etc. This is the second in a series of blogs discussing unified observability with microservices and the Oracle database.

Metrics 246

Metrics DevOps Database Code 246

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 169

Metrics Open Source Tuning Traffic 169

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 245

Metrics Analytics Storage Monitoring 245

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 182

Metrics Open Source Traffic Cache 182

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 148

Metrics Analytics Availability Monitoring 148

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 180

Metrics Open Source Monitoring Analytics 180

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 165

Metrics Open Source Monitoring Technology 165

Dynatrace

OCTOBER 15, 2021

Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces. Logs, metrics, and traces make up the bulk of all telemetry data. The data life cycle has multiple steps from start to finish.

Open Source 221

Open Source Metrics Cloud Transportation 221

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 159

Metrics Open Source Monitoring Traffic 159

Percona

FEBRUARY 24, 2023

Label-based access control is a security mechanism that allows companies to control who can access specific metrics based on their labels. To simplify access management : Label-based access control can simplify access management by allowing companies to assign labels to metrics. to monitor and diagnose. +50

Metrics 109

Metrics Monitoring Database Engineering 109

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. We’re happy to announce that Dynatrace is now a launch partner for Amazon CloudWatch Metric Streams.

AWS 152

AWS Metrics Availability Lambda 152

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 150

Metrics Open Source Monitoring Engineering 150

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 213

Metrics Innovation Strategy Monitoring 213

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

Dynatrace

AUGUST 5, 2020

Recently introduced improvements to Visually complete and new web performance metrics for Real User Monitoring are now available for Synthetic Monitoring as well. Ensure better user experience with paint-focused performance metrics. These metrics are tightly connected to the perceived load speed of your application.

Metrics 217

Metrics Monitoring Performance Benchmarking 217

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. Fluent Bit and Fluentd were created for the same purpose: collecting and processing logs, traces, and metrics. Observability: Elevating Logs, Metrics, and Traces! What is Fluent Bit?

Best Practices 130

Best Practices IoT Metrics Storage 130

Dynatrace

JUNE 3, 2022

To facilitate the troubleshooting of synthetic monitors (HTTP as well as browser monitors), we’ve added more actionable data directly in problem details (for example, direct links to recent failing executions, monitor settings, and monitor results pages filtered by the problem duration).

Metrics 226

Metrics Mobile IoT Monitoring 226

Dynatrace

JUNE 28, 2019

We’ve introduced a new framework for metrics that provides (1) a logical tree structure, (2) globally unique metric keys that ease integration between multiple Dynatrace environments, and (3) more flexibility to extend Dynatrace so it better fits your specific business use cases. Find metrics more quickly with metric categories.

Metrics 142

Metrics Monitoring Efficiency Availability 142

Dynatrace

APRIL 21, 2021

Metrics that offer measurable, repeatable insight into the user experience from the moment they arrive on a website from a mobile or desktop device. Great user experiences start with Core Web Vitals (CWVs) — a set of metrics defined by Google to help measure user experience at scale. When do these metrics matter?

Metrics 134

Metrics Google Website Speed 134

Dynatrace

APRIL 20, 2020

To provide you with more value when monitoring hosts in infrastructure mode, we’re extending our infrastructure mode with a range of metrics that have until now only been available in full-stack mode. Monitor additional metrics. All of these metrics are now part of infrastructure mode. How to get access. initiative.

Infrastructure 151

Infrastructure Metrics Java Virtualization 151

Tasktop

JANUARY 5, 2022

Flow Metrics are a major pillar of how we measure improvement in value streams. . As organizations begin to adopt Flow Metrics , our natural tendencies emerge to massage the newfound visibility to make the metrics “look good”. Flow Metrics anti-pattern: Excluding part of the value stream. Chop up the value stream.

Metrics 98

Metrics Speed Analytics Azure 98

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. Several tools can be used to collect metrics in load/performance testing.

Speed 209

Speed Software Software Latency 209

Jos

MARCH 29, 2018

I was browsing Tim Kadlec’s website and I noticed he had added page load time metrics in the footer. If your browser supports the Paint Timing API you will see a couple of extra metrics: First Paint and First Contentful Paint. First Paint and First Contentful Paint Page load time is a metric that tells us part of the story.

Metrics 130

Metrics Google Analytics Code 130

DZone

JANUARY 3, 2024

Did you always want to know more about instrumentation, metrics, and your options for coding with open standards? Are you a Java developer and looking for a working example to get started instrumenting your applications and services?

Open Source 297

Open Source Java Cloud Metrics 297

The Netflix TechBlog

APRIL 27, 2023

A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! Hence, we started down the path of alert evaluation via real-time streaming metrics. Data expressions define what data needs to be sourced in order to evaluate a query.

Storage 288

Storage Cache Metrics Database 288

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 205

Cloud Lambda AWS Analytics 205

Dynatrace

AUGUST 10, 2023

Dynatrace business events provide precise, real-time business metrics that support fine-grained business decisions and auditable business reporting. We also looked at a pizza chain example, connecting each customer order to the fulfillment process milestones that followed, including the handoff to the delivery agent.

Database 228

Database Metrics Retail Analytics 228

HammerDB

NOVEMBER 22, 2021

Introducing the PostgreSQL performance metrics viewer. HammerDB included a graphical performance metrics view for the Oracle database only. HammerDB includes the same functionality for PostgreSQL enabling the user to drill down on database metrics in real time. PostgreSQL Graphical Metrics. PostgreSQL Metrics treeview.

Metrics 62

Metrics Benchmarking C++ Database 62

Rigor

JUNE 14, 2019

It’s true that what might be considered the “most important” or “best” web performance metrics can vary by industry. These six metrics were not chosen at random – they work together to give you a snapshot of your site’s performance and overall user experience so you can set a baseline and improve speed and usability. Speed Index.

Metrics 101

Metrics Performance Speed Ecommerce 101

Dynatrace

APRIL 5, 2024

Next, a pragmatic approach involves examining the backend, focusing on Service type entities prominently exposed to the frontend (for example, Apache Tomcat in a Linux environment). In today’s landscape, we lack a clear understanding of properly creating frontend SLOs (for example, RUM application type entities) based on key user actions.

Efficiency 227

Efficiency Traffic Tuning Metrics 227

Jos

MARCH 30, 2018

I was browsing Tim Kadlec’s website and I noticed he had added page load time metrics in the footer. If your browser supports the Paint Timing API you will see a couple of extra metrics: First Paint and First Contentful Paint. First Paint and First Contentful Paint Page load time is a metric that tells us part of the story.

Metrics 100

Metrics Google Analytics Code 100

Tasktop

JULY 1, 2021

While DevOps Research and Assessment (DORA) metrics help you deliver more quickly, Flow Metrics —as defined by Dr. Mik Kersten as part of his pioneering Value Stream Management paradigm the Flow Framework® —help you deliver the right things more quickly at the right quality and cost and with the necessary team engagement.

Metrics 59

Metrics DevOps Efficiency Software 59

Tasktop

JUNE 28, 2022

Nowadays, frameworks like SAFe ® recommend that you use Flow Metrics to measure and improve efficiency, velocity, and predictability. If you like story points and want to keep story points around, the question becomes, “when is it appropriate to rely on story points, and when should we use Flow Metrics?” What are Flow Metrics?

Metrics 52

Metrics Traffic Efficiency Design 52

Dynatrace

NOVEMBER 6, 2023

As an example, many retailers already leverage containerized workloads in-store to enhance customer experiences using video analytics or streamline inventory management using RFID tracking for improved security. In this case, Davis finds that a Java Spring Micrometer metric called Failed deliveries is highly correlated with CPU spikes.

Retail 261

Retail Analytics Storage Cloud 261

Dynatrace

DECEMBER 27, 2022

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. In this example, “Reverse proxy” and “Front-end server” are clearly in the critical path. In this example, we’re creating an SLO with a target of 98% of our requests without errors.

Software 266

Software Software Benchmarking Latency 266