CSS Wizardry

JUNE 30, 2023

I never thought I’d write an article in defence of DOMContentLoaded , but here it is… For many, many years now, performance engineers have been making a concerted effort to move away from technical metrics such as Load , and toward more user-facing, UX metrics such as Speed Index or Largest Contentful Paint. Or are they…?

Metrics 326

Metrics Google Monitoring Analytics 326

Dynatrace

DECEMBER 9, 2020

HANA maintains all the business and analytics data that your business runs on. 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. Don’t worry, when it comes to SAP monitoring, Dynatrace has you covered.

Infrastructure 192

Infrastructure Database Monitoring Metrics 192

Dynatrace

MAY 31, 2023

As a result, site reliability has emerged as a critical success metric for many organizations. The practice uses continuous monitoring and high levels of automation in close collaboration with agile development teams to ensure applications are highly available and perform without friction. Service-level objectives (SLOs).

Best Practices 216

Best Practices DevOps Latency Metrics 216

Dynatrace

APRIL 8, 2024

Deploy risk-based estimates and models with confidence, accuracy, transparency, and speed. Dynatrace Grail harnesses all this data into an efficient, flexible, powerful, low-maintenance data lakehouse that enables IT leaders and risk managers to get the data they need, in real-time and aggregated in the desired context.

Analytics 193

Analytics Infrastructure Efficiency Technology 193

Rigor

JUNE 4, 2019

In the past, the answer would be based on the load time of a page, but over the years, we have evolved our approach to site speed to incorporate new metrics, alone or in combination with existing metrics. The next evolution of performance brought in paint metrics. This is where so-called interactivity metrics come in.

Metrics 71

Metrics Speed Benchmarking Website 71

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. We’ll post news here as it happens!

Efficiency 268

Efficiency Performance Analytics DevOps 268

Dynatrace

APRIL 8, 2020

Any significant reduction in allocations will inevitably speed up your code. To see why, navigate to the Suspension chart on the JVM metrics tab. . By reducing the number of allocated objects, you can both speed up your code and reduce object churn and garbage collection events. Speed up application code itself.

Speed 164

Speed Code Java Lambda 164

Dynatrace

APRIL 10, 2023

And according to recent data from Enterprise Strategy Group, 59% of survey respondents indicated spending on public cloud applications would increase in 2023. With Dynatrace deep cluster monitoring, “we were able to do upfront detection of security processes consuming higher CPU time on the cluster,” Bollampally said.

Cloud 166

Cloud Ecommerce Performance Retail 166

Dynatrace

MAY 6, 2020

Monitoring with ?the Readers who share our privacy concerns, please note, all the data we monitor is publicly available. . The insights in this b log rely heavily on data captured by Dynatrace’s proactive synthetic monitoring capabilities. This is from real user data that is captured by Dynatrace RUM.

Website 208

Website Monitoring Retail Media 208

Dynatrace

SEPTEMBER 1, 2022

Business analytics is a growing science that’s rising to meet the demands of data-driven decision making within enterprises. Ideally, IT data can inform business-side decisions, but there’s a challenge. But what is business analytics exactly, and how can you feed it with reliable data that ties IT metrics to business outcomes?

Analytics 170

Analytics Ecommerce Metrics Innovation 170

Dynatrace

NOVEMBER 6, 2023

Cloud complexity and data proliferation are two of the most significant challenges that IT teams are facing today. Computing environments are scaling to new heights, resulting in more data that makes pinpointing root causes and vulnerabilities even more challenging. But not all teams use the same observability data in the same way.

Development 255

Development DevOps Programming Cloud 255

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. It’s also common for teams, as part of their log monitoring practice, to write business metrics to a log that can then be tracked on a dashboard or trigger an alert.

Analytics 207

Analytics Storage Retail Monitoring 207

Dynatrace

SEPTEMBER 13, 2023

These workflows also utilize Davis® , the Dynatrace causal AI engine, and all your observability and security data across all platforms, in context, at scale, and in real-time. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 240

AWS Efficiency Azure Cloud 240

Dynatrace

FEBRUARY 13, 2020

We’re able to help drive speed, take multiple data sources, bring them into a common model and drive those answers at scale.”. With this announcement: Davis now automatically ingests additional Kubernetes events and metrics, including state changes, workload changes and critical events across clusters, containers and runtimes.

Performance 228

Performance Analytics Mobile Innovation 228

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.

Metrics 101

Metrics Performance Speed Ecommerce 101

Dynatrace

AUGUST 9, 2023

The massive volumes of log data over months, sometimes years, of a breach have made this a complicated and expensive problem to solve. Teams must evolve to continuously create reliable, automated responses based on precise data-driven insights. and “was any sensitive data stolen?”

Analytics 211

Analytics Metrics Database Storage 211

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. It’s also common for teams, as part of their log monitoring practice, to write business metrics to a log that can then be tracked on a dashboard or trigger an alert.

Analytics 175

Analytics Storage Retail Monitoring 175

Dynatrace

MAY 2, 2019

Many Dynatrace monitoring environments now include well beyond 10,000 monitored hosts—and the number of processes and services has multiplied to millions of monitored entities. Our REST APIs are widely used to enrich custom reports with performance and stability insights into monitored application environments.

Best Practices 128

Best Practices Monitoring Cache Speed 128

Rigor

JULY 9, 2019

In the past, the answer would be based on the load time of a page, but over the years, we have evolved our approach to site speed to incorporate new metrics, alone or in combination with existing metrics. The next evolution of performance brought in paint metrics. This is where so-called interactivity metrics come in.

Metrics 40

Metrics Speed Benchmarking Website 40

Speed Curve

MARCH 11, 2024

After years of development and testing, Google has added Interaction to Next Paint (INP) to its trifecta of Core Web Vitals – the performance metrics that are a key ingredient in its search ranking algorithm. INP replaces First Input Delay (FID) as the Vitals responsiveness metric. This is what the INP metric assesses."

Mobile 82

Mobile Google Metrics Monitoring 82

Dynatrace

NOVEMBER 9, 2021

2021 Gartner Peer Insights Voice of the Customer: Application Performance Monitoring. Observability provides deeper technical insights into what’s happening within cloud environments, in comparison to APM and/or traditional monitoring methods. Observability isn’t simply a new name for application performance monitoring (APM).

DevOps 210

DevOps Innovation Cloud Programming 210

Dynatrace

JULY 30, 2021

Progressive Delivery enables speeding up while managing the risk of software deployments and configuration changes. Monitoring and observability provide insights into how end-users react to the new version. The automatic monitoring of canary specific SLOs in Dynatrace. Step 1: Release and Build Version Meta Data.

Cloud 226

Cloud Metrics Strategy Monitoring 226

Dynatrace

JULY 29, 2021

The complexity of such deployments has accelerated with the adoption of emerging, open-source technologies that generate telemetry data, which is exploding in terms of volume, speed, and cardinality. All this data is then consumed by Dynatrace Davis® AI for more precise answers, thereby driving AIOps for cloud-native environments.

Analytics 245

Analytics Open Source Serverless Architecture 245

Percona

DECEMBER 19, 2022

We are excited to announce the latest release of Percona Monitoring and Management (PMM) – V2.33. include: Offline metric collection during PMM server outages or loss of PMM client-server network connectivity. include: Offline metric collection during PMM server outages or loss of PMM client-server network connectivity.

Metrics 52

Metrics Monitoring Servers Open Source 52

Dynatrace

NOVEMBER 2, 2022

According to Dynatrace research, 89% of CIOs said digital transformation accelerated over the course of 2020 , and 58% predicted it will continue to speed up. The ability to measure a system’s current state based on the data it generates. How to achieve digital immunity with a unified data platform. Observability.

Software 188

Software Software Artificial Intelligence DevOps 188

Dynatrace

DECEMBER 15, 2022

Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. Computer operations manages the physical location of the servers — cooling, electricity, and backups — and monitors and responds to alerts.

Artificial Intelligence 195

Artificial Intelligence DevOps Hardware Virtualization 195

Percona

JUNE 22, 2023

A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance. In this blog, we will explore various MySQL KPIs that are basic and essential to track using monitoring tools like PMM.

Performance 105

Performance Monitoring Traffic Database 105

The Netflix TechBlog

OCTOBER 7, 2021

Application version adoption over time for a staged rollout This chart represents a counter metric, which exhibits version adoption over the duration of a staged rollout. Typically, teams time-shift one metric over the other to visually detect metric deviations, but time can still be a confounder.

Metrics 197

Metrics Mobile Testing Strategy 197

Dynatrace

MAY 27, 2022

At Dynatrace Perform 2022 , David Walker, a Lockheed Martin Fellow, and William Swofford, a full-stack engineer at Lockheed Martin, discuss how to create a self-diagnosing and self-healing IT server environment using this AIOps combination for auto-baselining, auto-remediation, monitoring as code, and more.

Artificial Intelligence 180

Artificial Intelligence Innovation Servers Database 180

Dynatrace

APRIL 28, 2020

Gartner just released its latest Magic Quadrant for Application Performance Monitoring (APM) , and a separate Critical Capabilities for APM report. T he Dynatrace Software Intelligence Platform includes multiple modules, underpinned by a common data model. Dynatrace news. Before 2015, Dynatrace was listed as Compuware.

DevOps 236

DevOps Innovation Monitoring Analytics 236

The Netflix TechBlog

NOVEMBER 9, 2021

With multiple iterations, the team arrived at a recipe that significantly speeds up the encoding with negligible compression efficiency changes. Besides speeding up the encoder, the total CPU hours could also be reduced if we can use compute resources more efficiently. Challenge 4: How do we continuously monitor AV1 streaming?

Media 246

Media Open Source Efficiency Software Engineering 246

Dynatrace

SEPTEMBER 3, 2020

Commonly, AIOps solutions’ typical characteristics are to ingest pre-aggregated data from various solutions across the IT management tooling landscape and conclude what is of relevance in order to focus the user’s attention to the relevant situations. The second major concern I want to discuss is around the data processing chain.

Software 263

Software Software Artificial Intelligence Metrics 263

Dynatrace

MAY 4, 2022

This complexity makes it difficult for teams to monitor services and applications, which often leads to compliance and security concerns. Because cloud-native technologies are flexible and scale automatically, teams can replace manual application monitoring and testing methods to keep pace with innovation.

Cloud 176

Cloud DevOps Strategy Monitoring 176

Dynatrace

JULY 30, 2021

Cloud Automation workshop attendees not only get to walk through my Three-step implementation guide to answer-drive SLO-based release validation , but they also get to trigger multi-stage and multi-environment cloud automation including Monitoring As Code , Deployment Automation, and SLO-based Release Validation.

Cloud 212

Cloud DevOps Azure Virtualization 212

Dynatrace

FEBRUARY 10, 2022

They bring a scale and complexity that is well beyond that of the data center world and it isn’t manageable manually.”. As they increase the speed of product innovation and software development, organizations have an increasing number of applications, microservices and cloud infrastructure to manage.

Artificial Intelligence 180

Artificial Intelligence Performance Innovation Speed 180

Dynatrace

APRIL 30, 2021

According to the Dynatrace Autonomous Cloud survey , organizations are running into performance testing challenges in three areas: speed, quality, and scale. Challenges of scaling performance engineering affect speed, quality, and scale. Large quantities of unstructured monitoring data can slow down the process even further.

Engineering 193

Engineering Testing Performance Performance Testing 193

Rigor

JULY 11, 2019

It’s a given that you’re monitoring your site so it’s up and running and that you’re swiftly addressing issues when they arise. Additionally, teams are measuring and tracking key business metrics – conversion rates, cart abandonment rates, customer lifetime value, revenue by traffic source, and so on.

Ecommerce 87

Ecommerce Metrics Website Mobile 87