Dynatrace

OCTOBER 26, 2020

Dynatrace has recently enhanced its Metrics APIs, allowing everyone to send any type of metric with any set of data dimension to Davis, Dynatrace’s AI engine. In our conversation, I mentioned the new Dynatrace Metrics ingestion and off we went. ?? There are many use cases for using this API.

Innovation 157

Innovation Metrics Hardware Games 157

Dynatrace

APRIL 23, 2019

However, understanding the performance of different application types requires an emphasis on different performance metrics, that is, key performance metrics. For many traditional web applications , User action duration is considered the best metric available for web-performance optimization.

Metrics 102

Metrics Monitoring Performance Speed 102

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 176

Metrics Monitoring Database Network 176

Dynatrace

DECEMBER 9, 2020

Dynatrace is fully committed to the OpenTelemetry community and to the seamless integration of OpenTelemetry data , including ingestion of custom metrics , into the Dynatrace open analytics platform. Use topological details related to the service at hand to drill down to the process or host running the service for root cause analysis.

Java 239

Java Traffic Strategy Architecture 239

The Netflix TechBlog

NOVEMBER 9, 2021

The Encoding Technologies team took a first stab at this problem by fine-tuning the encoding recipe. With multiple iterations, the team arrived at a recipe that significantly speeds up the encoding with negligible compression efficiency changes. The Performance Engineering team specializes in optimizing resource utilization at Netflix.

Media 246

Media Open Source Efficiency Software Engineering 246

Dynatrace

JULY 16, 2021

The Dynatrace Software Intelligence Platform already comes with release analysis, version awareness , and Service Level Objective (SLO) support as part of the Dynatrace Cloud Automation solution , helping DevOps and SRE teams automate the delivery and operational decisions. Dynatrace news. And it’s not just the release validation.

DevOps 245

DevOps Open Source Cloud Azure 245

Dynatrace

FEBRUARY 10, 2021

Today, the speed of software development has become a key business differentiator, but collaboration, continuous improvement, and automation are even more critical to providing unprecedented customer value. Dynatrace’s version awareness allows you to stay in control despite speeding up application delivery.

Cloud 171

Cloud DevOps Speed Azure 171

Dynatrace

OCTOBER 8, 2020

By leveraging the AWS Lambda Extensions API , Dynatrace brings the unique value of its Davis AI-engine for fully automatic root cause analysis to AWS Lambda. Serverless functions extend applications to accelerate speed of innovation. So please stay tuned! Improved mapping and topology detection.

Lambda 300

Lambda AWS Programming Serverless 300

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. “Logging” is the practice of generating and storing logs for later analysis. Dynatrace news. billion in 2020 to $4.1 What is log monitoring?

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

Speed Curve

DECEMBER 3, 2018

The number of performance metrics is large and increases every year. It's important to understand what the different metrics represent and pick metrics that are important for your site. Our Evaluating rendering metrics post was a popular (and fun) way to compare and choose rendering metrics.

Metrics 58

Metrics Mobile Tuning Network 58

Dynatrace

AUGUST 16, 2021

inventory and analysi s? Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Below is an example of the Dynatrace release inventory screen that shows: Release and version analysis by component using filters. SLO validation – ?Automatically 2 Confidence:

Software 246

Software Software Open Source Azure 246

Dynatrace

DECEMBER 2, 2021

These can include business metrics, such as conversion rates, uptime, and availability; service metrics, such as application performance; or technical metrics, such as dependencies to third-party services, underlying CPU, and the cost of running a service. What are SLIs? For example, if your SLO is to deliver 99.5%

Metrics 196

Metrics Best Practices DevOps Infrastructure 196

Dynatrace

DECEMBER 9, 2020

To speed up release frequency, they’re investing in delivery-pipeline automation. The flip side of speeding up delivery, however, is that each software release comes with the risk of impacting your goals of availability, performance, or any business KPIs. Which metrics are relevant for your business, anyway?

Metrics 154

Metrics Engineering Google Monitoring 154

Dynatrace

MAY 5, 2021

Establishing clear, consistent, and effective quality gates that are automatically validated at each phase of the delivery pipeline is essential for improving software quality and speeding up delivery. Automating quality gates creates reliable checks and balances and speeds up the process by avoiding manual intervention.

Benchmarking 188

Benchmarking Latency Speed Software 188

Dynatrace

NOVEMBER 4, 2019

Kubernetes was architected to allow for additional technologies and services to assist in speed, scalability and reducing the overall complexity which can arise from a Microservices environment. Today, most thought-leaders break down Observability into three pillars; metrics, distributed traces and logs.

Monitoring 219

Monitoring Cloud Metrics Code 219

Dynatrace

MAY 27, 2021

Here are a few common metrics teams should track for every CD pipeline to help you evaluate its efficacy. CD depends on automated testing, and test pass rate helps you fine tune testing methods and improve the effectiveness of your developer feedback loop. Best practices for adopting continuous delivery. Watch our webinar.

Best Practices 130

Best Practices DevOps Open Source Cloud 130

Dynatrace

NOVEMBER 4, 2019

Kubernetes was architected to allow for additional technologies and services to assist in speed, scalability and reducing the overall complexity which can arise from a Microservices environment. Today, most thought-leaders break down Observability into three pillars; metrics, distributed traces and logs.

Monitoring 100

Monitoring Cloud Metrics Code 100

O'Reilly

JANUARY 17, 2023

You’ll try this with a few other algorithms, and their respective tuning parameters–maybe even break out TensorFlow to build a custom neural net along the way–and the winning model will be the one that heads to production. The second is the experienced ML professional who really knows how to build and tune models.

Tuning 128

Tuning Open Source AWS Software 128

Rigor

JANUARY 13, 2020

Yet, we wanted to put together our list of the top web performance books for anyone who cares about speed of the web and would like to explore the timeline of web performance engineering milestones over nearly two decades through the lens of published books. How to pioneer new metrics and create a culture of performance. Time is Money.

Performance 75

Performance Social Media Website Website Performance 75

The Morning Paper

MAY 21, 2019

A good proxy metric for the overhead introduce by the system is the promotion rate : the rate of swapping pages from far memory to near memory. These are used to perform offline analysis for potential memory savings under different cold-age thresholds. ML-based auto-tuning. Evaluation.

Software 78

Software Software Google Hardware 78

KeyCDN

AUGUST 15, 2019

Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. Quantitative performance testing looks at metrics like response time while qualitative testing is concerned with scalability, stability, and interoperability.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

All Things Distributed

APRIL 9, 2015

At Amazon we have hundreds of teams using machine learning and by making use of the Machine Learning Service we can significantly speed up the time they use to bring their technologies into production. Amazon CloudWatch Logs now also support time-based sorting, making it easier to search Lambda logs and correlate them with CloudWatch metrics.

Lambda 122

Lambda Cloud IoT AWS 122

Rigor

SEPTEMBER 11, 2019

list of those who are making a significant impact on speeding up the web today. Find his research and analysis on the HTTP Archive Discussion forums. Developers representing hundreds of companies work together at these meetups to become masters in performance metrics and the latest trends in measuring site speed.)

Performance 89

Performance Education Google Website 89

Alex Russell

MARCH 31, 2022

Like every other successful platform, the web operates on a finely tuned understanding of risk and trust , and deprecations are particularly explosive. [2] That is unlikely given the need for SRI annotations or the unbecoming practice of speeding up high-traffic sites, but not others. Trust Falls #. But that day is not today.

Cache 82

Cache Government Traffic Network 82

SQL Performance

MARCH 8, 2021

This can make it difficult to draw sound performance-tuning conclusions. This uses hardware, typically a crystal oscillator, that produces ticks at a very high constant rate regardless of processor speed, power settings, or anything of that nature. How row mode metrics are collected. Alternate designs. A final example.

Servers 95

Servers Tuning Architecture Processing 95

High Scalability

NOVEMBER 25, 2019

To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. Eventually, we resorted to caching the events in memory for a short duration and also tuning the GC settings on those nodes as we are doing a lot of young generation collections.

Architecture 52

Architecture Cache Azure Storage 52