Dynatrace

JANUARY 31, 2022

Likewise, shift–right is the practice of performing testing, quality, and performance evaluation into production under real-world conditions. Organizations can also apply shift-right testing to code that gets configured or is monitored in the field. Why shift-right is critical for microservice architecture.

DevOps 207

DevOps Testing Monitoring Speed 207

Dynatrace

JANUARY 31, 2022

Likewise, shift–right is the practice of performing testing, quality, and performance evaluation into production under real-world conditions. Organizations can also apply shift-right testing to code that gets configured or is monitored in the field. Why shift-right is critical for microservice architecture.

DevOps 202

DevOps Testing Monitoring Speed 202

Dynatrace

MARCH 3, 2020

One way to apply improvements is transforming the way application performance engineering and testing is done. This involves new software delivery models, adapting to complex software architectures, and embracing automation for analysis and testing. Performance-as-a-self-service . Get started today! .

Performance 246

Performance Education Innovation Software Architecture 246

Dynatrace

DECEMBER 23, 2020

As legacy monolithic applications give way to more nimble and portable services, the tools once used to monitor their performance are unable to serve the complex cloud-native architectures that now host them. The goal of monitoring is to enable data-driven decision-making. Where traditional methods struggle.

Infrastructure 148

Infrastructure Cloud Monitoring Metrics 148

Dynatrace

SEPTEMBER 8, 2020

Additionally, chaos engineering can be used to verify your monitoring. You might create chaos experiments which break single components of a distributed system and want to make sure that your monitoring system informs about such failures (but the system should work either way). Figure 1: Sample architecture. 3: 5 Steps.

Engineering 142

Engineering Cloud Monitoring Testing 142

InfoQ

JUNE 9, 2021

The PDCA (plan-do-check-act) framework can be used to outline the performance, availability, and monitoring to enable teams to ensure performant and highly available applications. These include infrastructure design and setup, application architecture and design, coding, performance testing, and application monitoring.

Availability 57

Availability Performance Systems Architecture 57

Dynatrace

SEPTEMBER 4, 2020

Thanks to its event-driven architecture, Keptn can pull SLIs (=metrics) from different data sources and validate them against the SLOs. Next time Keptn must evaluate SLIs/SLOs for either quality gates, performance analysis after a performance test, or during auto-remediation, it will pull the metrics from that dashboard.

DevOps 249

DevOps Metrics Innovation Azure 249

Dynatrace

JANUARY 5, 2022

To do so we have successfully established AI-based White box load and resiliency testing with JMeter and Dynatrace, helping identify and resolve major performance and scalability problems in recent projects before deploying to production.

Testing 223

Testing Open Source Metrics Infrastructure 223

Dynatrace

NOVEMBER 19, 2020

The Dynatrace API is used to automate your monitoring tasks, export different types of data into your third-party reporting and analysis tools, and to integrate into workflow tools such as Jenkins. These interfaces also allow toolchains to push problem comments, events, and metrics into Dynatrace for monitored entities. Dynatrace API.

Software 144

Software Software DevOps Open Source 144

Dynatrace

JULY 9, 2020

From of our learnings on how we integrated Dynatrace into our DevOps toolchain , we advise our customers to follow our best practices around integrating delivery tools with Dynatrace, enforcing Dynatrace-based quality gates, implementing monitoring as code or automate remediation based on Dynatrace problems. Monitoring Configuration as Code.

Cloud 192

Cloud DevOps Azure Architecture 192

Dynatrace

OCTOBER 28, 2021

Testing for mishaps you can predict is essential. But with the complexity that comes with digital transformation and cloud-native architecture, teams need a way to make sure applications can withstand the “chaos” of production. Monitor and record the results. Dynatrace news. Lack of observability.

Engineering 231

Engineering Entertainment Cloud Infrastructure 231

Dynatrace

MAY 27, 2021

As software development environments adopt more cloud-native technologies, microservices, and container-based architecture, delivering software manually becomes increasingly impractical. With CD, DevOps engineers write configuration and create custom tests and quality checks that become part of each stage in an automated pipeline.

Best Practices 130

Best Practices DevOps Open Source Cloud 130

Dynatrace

JUNE 18, 2019

In my colleague Andi Grabner’s recent blog on Automated Deployment and Architectural Validation, he notes that, based on a recent ACM survey , validating deployment still seems to be a semi-automated task for most software delivery teams. Dynatrace news. This will determine which entities need to receive the event.

Architecture 129

Architecture DevOps Open Source Java 129

The Netflix TechBlog

APRIL 26, 2022

Figure 1: Netflix ML Architecture Fact: A fact is data about our members or videos. How do we monitor the quality of data? Corruption in data can significantly impact production model performance and A/B test results. Another learning is that we should have invested early into a robust testing framework.

Storage 187

Storage Design Scalability Latency 187

The Netflix TechBlog

NOVEMBER 3, 2022

The original assumptions and architectural choices were no longer viable. Overview The figure below depicts a simplified high-level architecture of a single Titus cluster (a.k.a After the jobs are created, it monitors their execution progress. Active data includes jobs and tasks that are currently running.

Cache 224

Cache Latency Traffic Systems 224

Testsigma

NOVEMBER 18, 2021

The type of applications that are being tested has changed as well, from (now) legacy client server-based applications to microservice-based or cloud-based architectures. This changes how teams test for quality. As technology advancement continues, we’ll see newer, more nuanced types of testing.

Engineering 104

Engineering Social Media DevOps Azure 104

High Scalability

NOVEMBER 25, 2019

Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. SOA architecture based on REST APIs. Edge caching.

Architecture 52

Architecture Cache Azure Storage 52

Dynatrace

AUGUST 29, 2019

As with building any pyramid, you need to work your way from the bottom up: Self-service monitoring needs to be everywhere. Every application in every environment should be uniformly monitored, without any human intervention. The Dynatrace ACM Methodology. At the pinnacle of ACM lies the ability for Self-Healing.

Cloud 142

Cloud DevOps Strategy Monitoring 142

Dynatrace

OCTOBER 26, 2020

All your JMeter results in Dynatrace for better performance engineering. Christian Inzko , Performance Engineer out of our Klagenfurt Lab, is running a lot of performance tests to validate performance and scalability of our Dynatrace clusters. Goal: sending metrics to Dynatrace.

Innovation 157

Innovation Metrics Hardware Games 157

Alex Podelko

NOVEMBER 21, 2018

It may be a little too condensed for absolute beginners (although, as already mentioned, there is a lot of introductory materials on the Internet that can help here), but it is the best you can find if you already have some performance testing experience and need to get further.

DevOps 113

DevOps Testing Testing Tools Performance Testing 113

Apica

DECEMBER 12, 2022

Most software delivery teams are already adopting automated tools and DevOps methodologies for shifting unit, functional, regression and performance testing left as far as they can in the software pipeline. Understanding customers starts with active user monitoring of on-screen actions and session data.

Testing 52

Testing DevOps Monitoring Media 52

Apica

OCTOBER 17, 2022

Distracted by distributed, dynamic architectures. The decentralization of our software architectures has become a Gordian Knot that is too hard to untangle through UAT and traditional functional and load testing scripts. The Intellyx Take. Quality user journeys are at a genuine crossroads.

Retail 52

Retail Website Infrastructure Software Architecture 52

CSS - Tricks

JULY 25, 2019

This article is from my friend Ben who runs Calibre , a tool for monitoring the performance of websites. If you’re interested in a high-level overview of Lighthouse architecture, read this guide from the official repository. How Lighthouse calculates the Performance Score. Monitoring Time to Interactive.

Google 71

Google Engineering Speed Mobile 71

Testsigma

FEBRUARY 6, 2020

Examples of Dynamic Testing- Unit testing, System testing, Integration testing, Performance testing, Security testing. Based on the methodology or approach, testing techniques can be classified as below: Black Box Testing. Types of Non-Functional testing. Hence, the ROI is low.

Software 69

Software Software Testing Scalability 69

Smashing Magazine

SEPTEMBER 24, 2021

It also helps to monitor production and track the performance of the pages and the CPU time involved. I will describe how we monitor this in the Lesson learned: Use a log aggregation service paragraph. Log aggregation services can also be useful to monitor the limits of Vercel’s pricing plans. The output of a Next.js

Website 114

Website Code Servers Analytics 114

Adrian Cockcroft

JUNE 21, 2022

I adopted the language, called the SE Toolkit , which was a C-based interpreter that understood how to directly read all the performance data out of the kernel, and wrote a lot of scripts over the years, including one called virtual_adrian.se Jim also joined the database performance team. that a lot of people used.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Brendan Gregg

FEBRUARY 9, 2018

To understand the overhead further I'll need to use instruction-level profiling, such as by using perf annotate, and PMC (Performance Monitoring Counter) analysis of the CPU cycles (more on this later). ## 2. I described this in [The PMCs of EC2]: the architectural set is better than nothing, and a year ago we had nothing.

Performance 75

Performance Benchmarking Cache Tuning 75

Smashing Magazine

NOVEMBER 17, 2022

Webpage performance test report for the Smashing Magazine website. The Relation Between Images And Web Performance. And while optimizing images is a must in any application, in the Jamstack ecosystem, it is even more paramount, considering that one of the main goals of the Jamstack architecture is to improve web performance.

Media 106

Media Cache Website Mobile 106

HammerDB

OCTOBER 12, 2018

In particular on Intel Scalable Processors (Skylake architecture) the PAUSE instruction is much longer than previous architectures and therefore calling UT_RELAX_CPU can consume a lot more time resulting in reduced performance. monitoring. perf special. innodb_adaptive_flushing=1. innodb_flush_neighbors=0.

Best Practices 40

Best Practices Scalability Performance C++ 40

Smashing Magazine

JANUARY 6, 2020

Performance isn’t just a technical concern: it affects everything from accessibility to usability to search engine optimization, and when baking it into the workflow, design decisions have to be informed by their performance implications. Testing And Monitoring. Getting Ready: Planning And Metrics. Assets Optimizations.

Performance 145

Performance Cache Network Metrics 145

Brendan Gregg

FEBRUARY 8, 2018

To understand the overhead further I'll need to use instruction-level profiling, such as by using perf annotate, and PMC (Performance Monitoring Counter) analysis of the CPU cycles (more on this later). ## 2. I described this in [The PMCs of EC2]: the architectural set is better than nothing, and a year ago we had nothing.

Performance 40

Performance Benchmarking Cache Tuning 40

Smashing Magazine

JANUARY 7, 2019

Performance isn’t just a technical concern: it matters, and when baking it into the workflow, design decisions have to be informed by their performance implications. Testing And Monitoring. Quantity-based metrics measure the number of requests, weight and a performance score. Getting Ready: Planning And Metrics.

Performance 104

Performance Cache Network Metrics 104