Apica

NOVEMBER 15, 2019

With this shift in applications everywhere enterprises need to do their due diligence in performance testing complex modern applications at scale, often and at a lower cost to stay competitive. With this growth and added complexity, how are your legacy performance testing solutions keeping up?

Performance Testing 40

Performance Testing Testing Performance Games 40

Apica

OCTOBER 29, 2019

Understanding the market and this massive growth in applications, having a modern performance testing platform will ensure you can test streaming, API-based, and XML-based applications including set-top boxes and game stations among other application types in DevOps friendly way.

Performance Testing 40

Performance Testing Testing Performance Software 40

Dynatrace

JULY 9, 2020

Gone are the days for Christian manually looking at dashboards and metrics after a new build got deployed into a testing or acceptance environment: Integrating Keptn into your existing DevOps tools such as GitLab is just a matter of an API call.

Cloud 187

Cloud DevOps Azure Architecture 187

Dynatrace

OCTOBER 28, 2021

To learn more about how Dynatrace can help your team master chaos engineering experiments, join us for the on-demand performance clinic, Mastering Chaos Engineering Experiments with Gremlin and Dynatrace today. Lack of end-to-end observability and monitoring into all systems a blast radius might affect is a common problem.

Engineering 224

Engineering Entertainment Cloud Infrastructure 224

Testsigma

JULY 3, 2021

But for the uninitiated, on-premise testing is a form of testing where testers perform tests on local machines, systems, or devices set up at an office. On-premise testing comes with a lot of responsibility. For certain situations that don’t require scalability, on-premise testing can be cost-effective. .

Cloud 57

Cloud Testing Storage DevOps 57

Apica

APRIL 27, 2020

In today’s fast-paced, always-on, and available environments, having the right performance monitoring solution for mission-critical applications requires more. We have helped many customers migrate from solutions like SiteScope to ensure their new and more application-focused monitoring needs are met.

Monitoring 52

Monitoring Scalability DevOps Network 52

Testsigma

MAY 14, 2021

Let us explore the advantages and disadvantages of cloud-based and traditional testing. Cloud-based testing advantages. The environment is dynamic and scalable. Provides better testing speed, since it can run 24*7. No internet connectivity is required for testing since it is executed locally.

Cloud 67

Cloud Testing Testing Tools Internet 67

Testsigma

JUNE 26, 2021

In all honesty, it wasn’t always practical or simple, but with codeless test automation – test automation that does not require learning to code – testers can now focus on what’s crucial: shipping efficient products. Let’s take a look at some of the best advantages of using codeless test automation tools.

Testing 57

Testing Testing Tools Automotive Scalability 57

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

Testsigma

JUNE 26, 2021

With the advent of agile and DevOps culture, we’re already embracing digital transformation. If we talk about testing itself — automation has taken us several leaps ahead; QA teams have solidified test efficiency and coverage even further. Parallel test execution: Tests can be run simultaneously in multiple environments.

Testing Tools 52

Testing Tools Testing Analytics Mobile 52

Dotcom-Montior

NOVEMBER 21, 2017

Therefore, performance testing has become a fundamental part of the development chain and the demand is still growing. Performance testing platforms provide a broad range of load simulation methods such as HTTP, headless, and real browser-based. Performance Test Types. Performance Test Types.

Testing 40

Testing Performance Testing Servers Programming 40

High Scalability

NOVEMBER 25, 2019

For highly scalable services, going outside of java process is costly, even to go to Memcache or Redis so we do in-memory cache with varying TTL for some highly used data structures like access control computation, feature flags, routing metadata etc. Who performs what roles? We use feature flags and circuit breakers for this.

Architecture 52

Architecture Cache Azure Storage 52