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 303

Engineering DevOps Innovation AWS 303

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

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. Let the Davis AI analyze your metrics from scripting languages like Bash or PowerShell. Dynatrace news.

Metrics 150

Metrics Open Source Monitoring Engineering 150

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 202

Engineering Testing Performance Performance Testing 202

Dynatrace

FEBRUARY 28, 2024

In the previous blog post of this series , we discussed the crucial role of Dynatrace as an orchestrator that steps in to stop the testing phase in case of any errors. In this blog post of the series, we will explore the use of Site Reliability Guardian (SRG) in more detail.

DevOps 205

DevOps Metrics Engineering Analytics 205

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 194

Google Engineering Metrics Hardware 194

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 152

AWS Metrics Availability Lambda 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 134

Metrics Google Website Speed 134

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 226

Metrics Mobile IoT Monitoring 226

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 142

Metrics Monitoring Efficiency Availability 142

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

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”. In this blog, we’ll review a few of the common anti-patterns about which you you should be aware. .

Metrics 98

Metrics Speed Analytics Azure 98

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

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 171

Best Practices IoT Metrics Storage 171

The Netflix TechBlog

APRIL 27, 2023

Engineers want their alerting system to be realtime, reliable, and actionable. 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! The internals here are outside the scope of this blog post.

Storage 288

Storage Cache Metrics Database 288

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 256

Open Source Metrics Analytics Tuning 256

Dynatrace

AUGUST 10, 2023

Dynatrace business events provide precise, real-time business metrics that support fine-grained business decisions and auditable business reporting. Business data is more than metrics Dynatrace ActiveGate extensions allow you to extend Dynatrace monitoring to any remote technology that exposes an interface.

Database 228

Database Metrics Retail Analytics 228

Uber Engineering

AUGUST 7, 2018

To facilitate the growth of Uber’s global operations, we need to be able to quickly store and access billions of metrics on our back-end systems at any given time.

Open Source 104

Open Source Metrics Infrastructure Scalability 104

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

Dynatrace

NOVEMBER 3, 2023

Comprehensive metrics support Extensions 2.0 support complete metric metadata configuration to ensure that monitoring data is context-rich and unified across the platform, regardless of which extension or agent sourced the metric. It provides metrics for various components such as brokers, topics, producers, and consumers.

Technology 248

Technology Technology Scalability Availability 248

Tasktop

MAY 27, 2021

This time, I spoke to Jeff McCollum, our Product Value Stream Lead for Tasktop Hub , who told me how he used Tasktop Viz and Flow Metrics to perfectly time a major application replatforming. . “I And he uses Flow Metrics to make sure things are being done well and that the value stream is continuously improving. . And it came: .

Metrics 69

Metrics Games Engineering Efficiency 69

Dynatrace

JULY 25, 2022

A full list of metrics can be found here and include dimensions such as the following: Packets. When it comes to logs and metrics, the Dynatrace platform provides direct access to the log content of all mission-critical processes. Log Metrics. The number of packets transferred during the flow. Resource type. Why Dynatrace?

AWS 220

AWS Transportation Network Traffic 220

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications.

Cache 206

Cache Azure Infrastructure Monitoring 206

The Netflix TechBlog

NOVEMBER 29, 2023

As noted in an earlier blog post , we began developing an HDR variant of VMAF; let’s call it HDR-VMAF. Join us and be a part of the amazing team that brought you this tech-blog; open positions: Software Engineer, Cloud Gaming Software Engineer, Live Streaming References [1] L. Krasula, A. Choudhury, S. Malfait, A.

Open Source 252

Open Source Software Engineering Internet Internet 252

Tasktop

OCTOBER 18, 2021

Speaking about DevOps and OKRs, Mik shared some of his “lessons learned” from large-scale transformations that leveraged OKRs and Flow Metrics to create an end-to-end, organization-wide feedback loop, as well as pitfalls that snapped some organizations back into the waterfall ways of measuring delivery. Take a Course in Flow Metrics.

DevOps 52

DevOps Metrics Virtualization Innovation 52

The Netflix TechBlog

OCTOBER 7, 2021

The goal of this blog post is to highlight the investment areas for this vision and the challenges we are facing today. Depending on the type of client, we need to determine the right strategy to sample consumer devices, and provide a system that can enable various client engineering teams to look for their signals.

Metrics 197

Metrics Mobile Testing Strategy 197

Dynatrace

FEBRUARY 8, 2021

Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. The “three pillars of observability,” metrics, logs, and traces, still don’t tell the whole story. Now, Dynatrace applies Davis, its AI engine, to monitor the new log sources.

Cloud 260

Cloud Azure Analytics Open Source 260

Dynatrace

FEBRUARY 10, 2023

Grail, the Dynatrace causational data lakehouse with a massively parallel processing analytics engine, unites observability, security, and business data from multicloud and cloud-native environments while retaining the data’s context to deliver precise answers in real time. – blog What is IT automation? What is a data lakehouse?

Efficiency 278

Efficiency Performance Analytics DevOps 278

Dynatrace

MAY 5, 2021

In fact, for most of us, has become a priority, requiring us to expand our focus on observability to include business analytics metrics. To introduce the video part of this blog, here’s a (short) story about silos; does this one sound familiar? Business analytics: the foundation for collaboration. And now, the video….

Analytics 239

Analytics Metrics Engineering Design 239

DZone

AUGUST 4, 2022

Spark-Radiant will help optimize performance and cost considering catalyst optimizer rules, enhance auto-scaling in Spark, collect important metrics related to a Spark job, Bloom filter index in Spark, etc. In this blog, I will discuss the availability of Spark-Radiant 1.0.4, Spark-Radiant is now available and ready to use.

Performance 246

Performance Metrics Availability Big Data 246

Dynatrace

SEPTEMBER 4, 2020

In this blog, I want to dig a bit into a core capability of Keptn which is used across all use cases: SLI/SLO-based Evaluations for Quality Gates as well as Auto-Remediation. While an SLI is just a metric, an SLO just a threshold you expect your SLI to be in and SLA is just the business contract on top of an SLO.

DevOps 247

DevOps Metrics Innovation Azure 247

Dynatrace

DECEMBER 9, 2020

However, if you’re an operations engineer who’s been tasked with migrating to HANA from a legacy database system, you’ll need to get up to speed quickly. Enable the Davis AI causation engine to automatically analyze every metric. Enable the Davis AI causation engine to automatically analyze every metric.

Infrastructure 203

Infrastructure Database Monitoring Metrics 203

Dynatrace

AUGUST 10, 2023

Dynatrace business events provide precise, real-time business metrics that support fine-grained business decisions and auditable business reporting. Business data is more than metrics Dynatrace Extensions enable the expansion of Dynatrace monitoring to encompass any technology that provides an interface.

Database 130

Database Metrics Retail Analytics 130

Percona

DECEMBER 20, 2018

Let’s look at some of the most popular Percona Database Performance Blog posts in 2018. With the Percona Database Performance Blog, Percona staff and leadership work hard to provide the open source community with insights, technical support, predictions and metrics around multiple open source database software technologies.

Database 41

Database Tuning Performance AWS 41

Uber Engineering

DECEMBER 10, 2018

Uber, like most large technology companies, relies extensively on metrics to effectively monitor its entire stack.

Engineering 75

Engineering Metrics Monitoring Technology 75

Dynatrace

AUGUST 16, 2023

SLOs are specifically processed metrics that help businesses balance breakthroughs with reliability. SLO monitoring is an IT process that tracks microservices architecture health based on metrics that express specific performance targets. In the digital age, a company’s success depends on the reliability of its online services.

Monitoring 187

Monitoring DevOps Metrics Innovation 187