Dynatrace

NOVEMBER 14, 2023

Site reliability engineering (SRE) has become increasingly important to organizations looking to keep up with the rapid pace of digital transformation. Effective site reliability engineering requires enterprise-wide transformation Without a unified understanding of SRE practices, organizational silos can quickly form between departments.

Best Practices 200

Best Practices Engineering DevOps Software Engineering 200

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. Our audits would detect this and alert the on-call data engineer (DE).

Data Engineering 264

Data Engineering Engineering Processing Games 264

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 210

Analytics Metrics DevOps Storage 210

Dynatrace

MARCH 29, 2023

With this Google Cloud Ready integration, Dynatrace ensures that AlloyDB for PostgreSQL users can now ingest metrics along with existing Google Cloud data. Out of the box, Dynatrace also works with Google Cloud’s Cloud Run, BigQuery, Compute Engine, and dozens of other native Google Cloud services and offerings.

Google 227

Google Metrics Cloud Analytics 227

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 209

Metrics Infrastructure Open Source Database 209

DZone

JUNE 11, 2023

Application logs and metrics are vital for any application development or maintenance process. However, managing and analyzing logs and metrics can be a daunting task, especially if the application generates a large volume of data. That's where Elasticsearch and Kibana come in.

Metrics 141

Metrics Open Source Analytics Engineering 141

Dynatrace

APRIL 7, 2022

Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. Davis topology-aware anomaly detection and alerting for your Micrometer metrics. Topology-related custom metrics for seamless reports and alerts. Micrometer uses a registry to export metrics to monitoring systems.

Metrics 215

Metrics Latency Java Cache 215

DZone

JANUARY 23, 2023

In my life as a cloud engineer, I deal with time series metrics all the time. Unfortunately, many of today’s popular metrics databases don’t support the SQL query language. Combined with QuestDB’s custom SQL extensions, its built-in SQL support makes writing complex queries a breeze.

Metrics 124

Metrics Infrastructure Database Cloud 124

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 30, 2023

In January and February, we spoke with a couple of the top influencers in government technology, including Jamie Holcombe , Chief Information Officer at the United State Patent and Trademark Office [USPTO]; and Dimitris Perdikou , Head of Engineering at the UK Home Office, Migration and Borders.

Social Media 177

Social Media Metrics Government Media 177

Dynatrace

AUGUST 26, 2020

We are proud to s hare Dynatrace has been named the winner in the “ Best Overall AI-based Analytics Company ” category, recognized for our innovation and the business-driving impact of our AI engine, Davis. . The post Dynatrace wins AI Breakthrough Award for Davis AI engine appeared first on Dynatrace blog.

Engineering 304

Engineering DevOps Innovation AWS 304

Dynatrace

APRIL 30, 2021

But because of the complexity involved in executing and analyzing test results of dynamic systems, performance engineering is difficult to scale — especially with lean staff or resources. Grabner also introduced four ways organizations can turbocharge their performance engineering with automation.

Engineering 208

Engineering Testing Performance Performance Testing 208

DZone

FEBRUARY 25, 2021

QA performance metrics are essential for eliminating inefficient strategies and improving internal processes. Your QA performance metrics process should identify if goals are being met as and analyze resources to make sure they are producing to their maximum capacity.

Metrics 144

Metrics Performance Strategy Engineering 144

Dynatrace

APRIL 7, 2022

Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. Davis topology-aware anomaly detection and alerting for your Micrometer metrics. Topology-related custom metrics for seamless reports and alerts. Micrometer uses a registry to export metrics to monitoring systems.

Metrics 130

Metrics Latency Java Cache 130

Dynatrace

APRIL 7, 2022

Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. Davis topology-aware anomaly detection and alerting for your Micrometer metrics. Topology-related custom metrics for seamless reports and alerts. Micrometer uses a registry to export metrics to monitoring systems.

Metrics 130

Metrics Latency Java Cache 130

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 152

Metrics Open Source Monitoring Engineering 152

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 135

Metrics Google Website Speed 135

Dynatrace

MARCH 23, 2020

Dynatrace industry-leading tracing, metrics, and log ingestion provide the level of high fidelity data that teams need to make accurate predictions about capacity. Such decisions must be attainable with little to no developer involvement in surfacing traces, metrics, and logs. Rapid OneAgent rollouts on Google Kubernetes Engine.

Google 196

Google Engineering Metrics Hardware 196

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 155

AWS Metrics Availability Lambda 155

The Netflix TechBlog

JUNE 15, 2022

By Alex Hutter , Falguni Jhaveri , and Senthil Sayeebaba In a previous post , we described the indexing architecture of Studio Search and how we scaled the architecture by building a config-driven self-service platform that allowed teams in Content Engineering to spin up search indices easily. Below are a couple of examples.

Engineering 183

Engineering Architecture Availability Tuning 183

Dynatrace

JUNE 3, 2022

At the heart of Dynatrace Digital Experience Monitoring (DEM) is Davis, the state-of-the-art AI engine that accurately prioritizes the severity of each detected performance anomaly in terms of its potential impact on real users and business KPIs. Leverage AI assistance to deliver better customer experience.

Metrics 231

Metrics Mobile IoT Monitoring 231

DZone

FEBRUARY 15, 2024

This guide outlines a strategic approach to deploying Prometheus in a Kubernetes cluster, leveraging helm for installation, setting up an ingress nginx controller with metrics scraping enabled, and configuring Prometheus alerts to monitor and act upon specific incidents, such as detecting ingress URLs that return 500 errors.

Monitoring 274

Monitoring Open Source Metrics Scalability 274

Dynatrace

JUNE 28, 2019

Dynatrace leverages high-fidelity data to fuel Davis, our AI-driven causation engine for automatic monitoring insights. Going forward, the new metrics framework will be at the core of everything that you can do with metrics in Dynatrace. Find metrics more quickly with metric categories.

Metrics 143

Metrics Monitoring Efficiency Availability 143

DZone

AUGUST 21, 2019

Software engineering productivity or velocity metrics have always been a very debated topic. When managers lean on using lines of code to measure their engineers’ velocity, you can understand why these same engineers have a problem with that as overly simplistic.

Metrics 100

Metrics Software Software Software Engineering 100

Dynatrace

FEBRUARY 28, 2024

Doing so reduces the risk of production disruptions and instills confidence in both SREs (Site Reliability Engineers) and end-users. This view seamlessly correlates crucial events across all affected components, eliminating the manual effort of sifting through various monitoring tools for infrastructure, process, or service metrics.

DevOps 211

DevOps Metrics Engineering Analytics 211

DZone

MAY 15, 2020

Now that you’ve deployed your code, it’s time to monitor it, collect data, and analyze your metrics. You’ve just released your new app into the wild, live in production. Your job is done, right? Without application performance monitoring in place, you can’t accurately determine how well things are going. Are people using your app?

Metrics 246

Metrics Performance Development Monitoring 246

Smashing Magazine

DECEMBER 17, 2020

Search Engine Optimization Checklist (PDF). Search Engine Optimization Checklist (PDF). Search engine optimization (SEO) is an essential part of a website’s design, and one all too often overlooked. A Smashing Guide To The World Of Search Engine Optimization. Prioritizing Metrics Online metrics are almost limitless.

Engineering 130

Engineering Google Website Analytics 130

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

OCTOBER 14, 2019

But sometimes you might have a scenario where simple access to log file content is not enough—you need to create a metric for log entries that contain “Error,” for instance, or something more complex like “Error and not Warning.” In such cases, you need the ability to turn log data into custom metrics. That’s it, you’re done!

Metrics 118

Metrics Monitoring AWS Availability 118

Dynatrace

MARCH 18, 2024

Following FinOps practices, engineering, finance, and business teams take responsibility for their cloud usage, making data-driven spending decisions in a scalable and sustainable manner. This awareness is important when the goal is to drive cost-conscious engineering.

Best Practices 240

Best Practices Strategy Cloud AWS 240

Dynatrace

MAY 31, 2023

As a result, site reliability has emerged as a critical success metric for many organizations. Site reliability engineering (SRE) has recently become a critical discipline in recent years as the world has shifted in favor of web-based interactions. Mobile retail e-commerce spending in the U. Service-level objectives (SLOs).

Best Practices 230

Best Practices DevOps Latency Metrics 230

Dynatrace

DECEMBER 4, 2023

“Engineers today lack an easy way to track the tokens and prompt usage of their LLM applications in production. OpenTelemetry has become a standard for collecting traces, metrics, and logs. By using OpenLLMetry and Dynatrace, anyone can get complete visibility into their system, including gen-AI parts with 5 minutes of work.”

Open Source 264

Open Source Latency Metrics Java 264

Testsigma

OCTOBER 21, 2021

James Espie is a test specialist, a quality engineering proponent, and a continuous learner from Auckland, New Zealand. In this quick QnA, Espie makes the point that software quality begins with people, that more testing doesn’t necessarily mean better quality, and that context matters in metrics. Q3: Metrics question.

Engineering 78

Engineering Metrics Testing Games 78

DZone

APRIL 23, 2019

One of the essential tasks every QA engineer should master is how to log bug reports properly. Also, you will find information about bug taxonomy fields, which can help you to calculate later various quality metrics that can be used to improve the QA process in the future.

Metrics 100

Metrics Strategy Testing Engineering 100

DZone

AUGUST 29, 2023

One of the primary responsibilities of Site reliability engineers (SREs) in large organizations is to monitor the golden metrics of their applications, such as CPU utilization, memory utilization, latency, and throughput.

Monitoring 253

Monitoring Latency Infrastructure Network 253

Dynatrace

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. With this announcement, Dynatrace brings the value of its AI engine, the scale, security, and automation of Dynatrace OneAgent and the scale of our platform (which can handle 50,000 hosts) to open source technologies so that you get the best of both worlds.

Open Source 259

Open Source Metrics Analytics Tuning 259

DZone

FEBRUARY 12, 2024

Observability is the ability to measure the state of a service or software system with the help of tools such as logs, metrics, and traces.

Efficiency 161

Efficiency Software Engineering Monitoring Metrics 161