Dynatrace

MAY 1, 2023

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.

Analytics 188

Analytics Artificial Intelligence Big Data Open Source 188

Dynatrace

FEBRUARY 25, 2020

We introduced Digital Business Analytics in part one as a way for our customers to tie business metrics to application performance and user experience, delivering unified insights into how these metrics influence business milestones and KPIs. A sample Digital Business Analytics dashboard. Dynatrace news.

Analytics 207

Analytics Metrics Best Practices Servers 207

Dynatrace

MAY 20, 2020

Dynatrace collects a huge number of metrics for each OneAgent-monitored host in your environment. Depending on the types of technologies you’re running on individual hosts, the average number of metrics is about 500 per computational node. Running metric queries on a subset of entities for live monitoring and system overviews.

Metrics 227

Metrics Operating System Tuning Monitoring 227

Apica

NOVEMBER 15, 2019

Legacy performance testing platforms have their place and are still required to ensure past investments can be monitored. Support a wide variety of devices and application types –The platform should be optimized to support multiple devices, implementations, and Operating Systems. The short answer is that they aren’t.

Performance Testing 40

Performance Testing Testing Performance Games 40

Dynatrace

AUGUST 24, 2020

Observability and monitoring as a source of truth. When operating an application, it’s helpful to have deeper insights that show you what’s really going on. Traces help find the flow of a request through a distributed system. Traces help find the flow of a request through a distributed system.

Analytics 241

Analytics Infrastructure AWS Operating System 241

Dynatrace

APRIL 17, 2024

With the availability of Linux on IBM Z and LinuxONE, the IBM Z platform brings a familiar host operating system and sustainability that could yield up to 75% energy reduction compared to x86 servers. Deploying your critical applications on additional host operating systems increases the dependencies for observability.

Operating System 205

Operating System Energy Infrastructure Architecture 205

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 172

Metrics Monitoring Database Network 172

Dynatrace

DECEMBER 5, 2023

This growth was spurred by mobile ecosystems with Android and iOS operating systems, where ARM has a unique advantage in energy efficiency while offering high performance. Initiatives like the Carbon Impact app can be used to measure the footprint of monitored ARM-based hosts compared to x86 hosts.

Efficiency 266

Efficiency Architecture Energy Monitoring 266

Dynatrace

JUNE 1, 2020

Application Performance Monitoring (APM) in its simplest terms is what practitioners use to ensure consistent availability, performance, and response times to applications. Websites, mobile apps, and business applications are typical use cases for monitoring. Performance monitoring. Application monitoring. Dynatrace news.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

Dynatrace

AUGUST 24, 2020

Observability and monitoring as a source of truth . When operating an application, it ’ s helpful to have deeper insights that show you what’s really going on. Metrics to find out how the behavior of a system has changed over time . Traces help find the flow of a request through a distributed system .

Analytics 135

Analytics Infrastructure AWS Operating System 135

Dynatrace

SEPTEMBER 29, 2021

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. An orchestration platform needs to expose data about its internal states and activities in the form of logs, events, metrics, or transaction traces. Built-in monitoring.

Open Source 302

Open Source Traffic DevOps Cloud 302

Smashing Magazine

OCTOBER 31, 2023

But do you know how Lighthouse calculates performance metrics like First Contentful Paint (FCP), Total Blocking Time (TBT), and Cumulative Layout Shift (CLS)? Still, there’s nothing in there to tell us about the data Lighthouse is using to evaluate metrics. But it comes with caveats. Does Lighthouse Use RUM Data, Too?

Speed 100

Speed Google Website Metrics 100

Dynatrace

OCTOBER 17, 2022

This makes developing, operating, and securing modern applications and the environments they run on practically impossible without AI. CloudOps: Applying AIOps to multicloud operations. The deviating metric is response time. How AI helps human operators. Analyze the data. Execute an action plan.

DevOps 196

DevOps Artificial Intelligence Healthcare Innovation 196

Dotcom-Montior

NOVEMBER 24, 2021

Setting up and monitoring these systems was pretty easy compared to today’s standards. There were no dynamic web applications or complex user scenarios to have to monitor. monitoring distributed systems becomes much more difficult to carry out and manage. What is a Distributed System? Heterogeneity.

Systems 74

Systems Monitoring Hardware Network 74

Dotcom-Montior

OCTOBER 19, 2021

A typical SRE is busy automating, cleaning up code, upgrading servers, and continually monitoring dashboards for performance, etc., Kubernetes is used to manage many containers at the same time, helping to upgrade applications without interrupting service to users as well as monitor the overall health of applications. Prometheus.

Engineering 86

Engineering Open Source Programming Monitoring 86

Dynatrace

JUNE 1, 2020

Application Performance Monitoring (APM) in its simplest terms is what practitioners use to ensure consistent availability, performance, and response times to applications. Websites, mobile apps, and business applications are typical use cases for monitoring. APM can be referred to as: Application performance monitoring.

Artificial Intelligence 182

Artificial Intelligence Social Media Monitoring IoT 182

Dynatrace

NOVEMBER 22, 2022

Include metrics, event logs, distributed traces, metadata, user experience data, and telemetry data from open source technologies and cloud platforms. Integrate infrastructure monitoring on a single AIOps platform. A key requirement for teams operating systems under peak load is detecting root-cause issues in real time.

Infrastructure 183

Infrastructure Availability Systems Retail 183

Dotcom-Montior

FEBRUARY 19, 2022

A typical SRE is busy automating, cleaning up code, upgrading servers, and continually monitoring dashboards for performance, etc., Kubernetes is used to manage many containers at the same time, helping to upgrade applications without interrupting service to users as well as monitor the overall health of applications. Prometheus.

Engineering 52

Engineering Open Source Programming Monitoring 52

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Performance monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

HammerDB

NOVEMBER 30, 2018

It is of note that we have not discussed the operating system yet, that is because the source code and the code included with the pre-packaged versions is identical whether it is running on Linux or Windows on x86-64 architecture (or any other platform). BLT graphical package extension for metrics for both Linux and Windows.

Architecture 40

Architecture Virtualization Open Source C++ 40

Smashing Magazine

JANUARY 7, 2019

Getting Ready: Planning And Metrics. Testing And Monitoring. Getting Ready: Planning And Metrics. You need a business stakeholder buy-in, and to get it, you need to establish a case study on how speed benefits metrics and Key Performance Indicators ( KPIs ) they care about. Table Of Contents. Setting Realistic Goals.

Performance 105

Performance Cache Metrics Network 105

High Scalability

NOVEMBER 25, 2019

When it goes to production you would monitor it using the various internal tools like New Relic/Grafana, Kibana and if there is a regression you would fix it. We do a production deploy every Wednesday and monitor new relic, exception reports daily for any anomalies. What operating systems do you use? Message Queues.

Architecture 52

Architecture Cache Azure Storage 52