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 242

Performance Education Innovation Software Architecture 242

Testsigma

NOVEMBER 18, 2021

George Ukkuru is a seasoned technocrat and AVP of quality engineering, DevOps, and SRE @Marlabs Inc. Over the course of two decades, he has helped Fortune 500 companies implement Agile testing practices. He has also authored a number of books on quality engineering and test automation. This changes how teams test for quality.

Engineering 104

Engineering Social Media DevOps Azure 104

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

JANUARY 5, 2022

This guest blog is authored by Raphael Pionke , DevOps Engineer at T-Systems MMS. Credits on content go to him and the work he has been doing around performance & resiliency testing automation. T-Systems MMS provides a modern white box testing approach to validating release readiness for complex cloud architectures.

Testing 217

Testing Open Source Metrics Infrastructure 217

Dynatrace

DECEMBER 10, 2020

Change starts by thoroughly evaluating whether the current architecture, tools, and processes for configuration, infrastructure, code delivery pipelines, testing, and monitoring enable improved customer experience faster and with high quality or not. Rethinking the process means digital transformation.

Strategy 178

Strategy Performance Logistics Monitoring 178

Dynatrace

NOVEMBER 19, 2020

The Environment API helps you further automate your toolchain workflows such as your deployment pipeline, CI toolchain, or a simple monthly architecture-topology report. This information speeds up triage by adding context to what is happening with the application by DevOps Teams. Performance test is run.

Software 143

Software Software DevOps Open Source 143

Dynatrace

AUGUST 29, 2019

It feels like just yesterday DevOps was all the rage, and everything had to be “Cloud” in order to be modern. These days, most organizations have embraced the benefits of DevOps and are running one or more of their applications on somebody else’s computer. Dynatrace news.

Cloud 138

Cloud DevOps Strategy Monitoring 138

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. Read more about monspec in our AWS DevOps Tutorial here. Dynatrace news.

Architecture 126

Architecture DevOps Open Source Java 126

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. Dynatrace news. Watch webinar now! Who uses chaos engineering?

Engineering 225

Engineering Entertainment Cloud Infrastructure 225

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. Continuously deploying new releases at 100X or 1000X speed is a DevOps state of flow all organizations strive for.

Testing 52

Testing DevOps Monitoring Media 52

Testsigma

JULY 25, 2020

Continuous Testing is the testing strategy to fast-track the testing required for achieving rapid software development using Agile and DevOps methodologies. What is Continuous Testing? If integration tests pass, automated acceptance tests can be run followed by performance tests.

Testing 55

Testing DevOps Performance Testing Infrastructure 55

Dynatrace

SEPTEMBER 17, 2019

Robert allowed me to take a couple of screenshots from their Dynatrace environment and with that, in this blog I try to explain how Dynatrace gives them MaaSS for Developers, Operators, DevOps as well as Business. MaaSS for Cloud Architects: Deployment and Architecture Validations. MaaSS for Business: Data per SaaS-Tenant.

AWS 127

AWS Monitoring Ecommerce Lambda 127

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 8, 2020

Experiments can be very specific, for instance it can be tested what happens when an application loses its connection to the database and if the auto-scaling and failover mechanisms work properly without downtime. Figure 1: Sample architecture. Kubernetes) should be covered. The question was: What is the difference?

Engineering 140

Engineering Cloud Monitoring Testing 140

Testsigma

AUGUST 13, 2021

Unit tests – The tool should provide the developers with the capability to run the unit tests as soon as new code is created. In a CI/CD environment, this is already taken care of by the automation testing tool because without continuous testing we cannot think of DevOps.

Testing 52

Testing Testing Tools DevOps Design 52

Testsigma

SEPTEMBER 15, 2020

With the advancement in technology together with the advent of Agile and DevOps, the software industry is witnessing many changes. Testing, being the part of the software arena, is also advancing to great new heights. With codeless automation testing tools, this task is as easy as the script creation. Better ROI.

Testing 59

Testing Testing Tools Code DevOps 59

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