DZone

OCTOBER 24, 2023

In today’s software development landscape, test automation plays a pivotal role in ensuring the reliability and stability of applications. However, automating tests, especially when dealing with complex environments, introduces a set of challenges, one of which is the accidental invocation of production profiles.

Engineering 141

Engineering Testing Software Software 141

DZone

JULY 14, 2021

Selenium has gone through a tremendous evolution since its introduction and that’s the reason today it is the most popular and powerful automation testing tool. The newly released Selenium 4 is creating a lot of buzz and the complete testing community is looking forward to exploring its updated features.

Open Source 294

Open Source Testing Tools Testing Servers 294

Dynatrace

NOVEMBER 17, 2023

In the first blog post of this series , we explored how the Dynatrace ® observability and security platform boosts the reliability of Site Reliability Engineers (SRE) CI/CD pipelines and enhances their ability to focus on innovation. The post Automate CI/CD pipelines with Dynatrace: Part 1, Build stage appeared first on Dynatrace news.

Innovation 228

Innovation Architecture Code Processing 228

Dynatrace

NOVEMBER 28, 2023

In the previous installment of this blog series , we explored how to set up Dynatrace as a build-stage orchestrator to effectively address the challenges faced by Site Reliability Engineers (SREs). This step is crucial as this environment is used for the final validation and testing phase before the code is released into production.

Traffic 266

Traffic Best Practices Strategy Engineering 266

DZone

FEBRUARY 3, 2023

Retrieving the page source of a website under scrutiny is a day-to-day task for most test automation engineers. Analysis of the page source helps eliminate bugs identified during regular website testing, functional testing, or security testing drills.

Website 183

Website Programming Code Testing 183

DZone

JUNE 20, 2023

One crucial aspect of software development in SAFe is end-to-end testing. This article aims to explore the significance of end-to-end testing within the Scaled Agile Framework (SAFe) and its role in ensuring high-quality software delivery.

Testing 204

Testing Engineering Performance Testing Software 204

Dynatrace

FEBRUARY 12, 2024

At the 2024 Dynatrace Perform conference in Las Vegas, Michael Winkler, senior principal product management at Dynatrace, ran a technical session exploring just some of the many ways in which Dynatrace helps to automate the processes around development, releases, and operation. Ensure seamless user journeys in every new release.

Engineering 187

Engineering Development Infrastructure Cloud 187

Dynatrace

MAY 17, 2023

At Dynatrace, we’ve been exploring the many ways of using GPTs to accelerate our innovation on behalf of our customers and the productivity of our teams. This is one example of the many use cases we’re exploring. This precise input engineering makes the GPT’s proposals more precise and actionable for remediation and automation.

Innovation 265

Innovation Software Software Artificial Intelligence 265

Dynatrace

APRIL 2, 2024

But as powerful as kubectl is, and as instructive as it can be to explore Kubernetes using it, you should not come to rely on kubectl too much. You should commit any and all of your desired changes to a repo and have an automated pipeline deploy the changes to production.

Virtualization 233

Virtualization Cloud Infrastructure Code 233

Dynatrace

MAY 4, 2023

But without intelligent automation, they’re running into siloed processes and reduced efficiency. Integrating security into development and operations frameworks also improves testing, validation, and distribution practices with a continual feedback loop. Intelligent automation can help break down these silos.

DevOps 218

DevOps Speed Innovation Open Source 218

Dynatrace

JANUARY 13, 2022

Automating DevOps practices and workflows is critical to eliminating silos. At Dynatrace Perform, the annual software intelligence platform conference, we will highlight new integrations that eliminate toolchain silos, tame complexity, and automate DevOps practices. Automating DevOps practices boosts development speed and code quality.

DevOps 272

DevOps Speed Artificial Intelligence Innovation 272

Dynatrace

DECEMBER 6, 2022

But, manual steps — such as reviewing test results and addressing production issues resulting from performance, resiliency, security, or functional issues — often hinder these efforts. Automation presents a solution. We refer to this culture and practice as observability-driven DevOps and SRE automation.

DevOps 223

DevOps Metrics Engineering Speed 223

Dynatrace

DECEMBER 30, 2021

They also need automation to redress these problems without time-consuming manual intervention. Dynatrace customers build, test, deploy, and manage their software with causal AIOps at the core of their software development lifecycles (SDLC). Exploring keys to a better AIOps strategy at Perform 2022. Explainable AI.

Strategy 228

Strategy Energy Cloud Innovation 228

Scalegrid

JANUARY 8, 2024

Exploring artificial intelligence in cloud computing reveals a game-changing synergy. Key Takeaways AI integration in cloud computing increases operational efficiency by automating processes, optimizing resource allocation, and improving scalability, leading to cost savings and allowing IT teams to concentrate on strategic initiatives.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

MAY 17, 2023

To ensure high standards, it’s essential that your organization establish automated validations in an early phase of the software development process—ideally when code is written. Validation tasks are then extended left to cover performance testing and release validation in a pre-production environment.

DevOps 192

DevOps Traffic Latency Best Practices 192

Dynatrace

MAY 4, 2022

A new ESG report explores these trends to shine a light on how prevalent these challenges are and how organizations are dealing with them. Because cloud-native technologies are flexible and scale automatically, teams can replace manual application monitoring and testing methods to keep pace with innovation. Dynatrace news.

Cloud 188

Cloud DevOps Strategy Monitoring 188

Dynatrace

JANUARY 18, 2023

However, getting reliable answers from observability data so teams can automate more processes to ensure speed, quality, and reliability can be challenging. This DevOps observability guide explores the benefits of automatic and intelligent observability for DevOps and DevSecOps complexity. What is DevOps? – blog.

DevOps 203

DevOps Best Practices Innovation Strategy 203

Dynatrace

MARCH 9, 2023

As organizations mature on their digital transformation journey, they begin to realize that automation – specifically, DevOps automation – is critical for rapid software delivery and reliable applications. So, how do organizations move from simple automation to more mature models that deliver on decision-making potential?

DevOps 237

DevOps Infrastructure Software Software 237

Dynatrace

NOVEMBER 16, 2021

Here we’ll explore how to collect Prometheus metrics and what you can achieve with them. How to test the configuration? To ensure the correct configuration of the Dynatrace annotations, we recommend testing the settings by sending a request to the exporter’s HTTP endpoint. Or the Data explorer. Defining management zones.

Metrics 206

Metrics Infrastructure Open Source Database 206

Dynatrace

JUNE 10, 2022

. “As code” means simplifying complex and time-consuming tasks by automating some, or all, of their processes. Today, the composable nature of code enables skilled IT teams to create and customize automated solutions capable of improving efficiency. Exploring IAC best practices. Test, test, test.

Best Practices 214

Best Practices Infrastructure Code Speed 214

The Netflix TechBlog

MARCH 4, 2024

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. Fully automated. Therefore, the operational cost increases linearly with the number of failed jobs.

Tuning 210

Tuning Efficiency Big Data Engineering 210

Dynatrace

JUNE 5, 2023

But without automated workflows, IT professionals are finding it difficult to monitor, manage, secure, and troubleshoot applications at scale. To ensure frictionless software delivery and security, organizations require multicloud automation. Modern multicloud environments are powerful and agile, yet highly complex.

Engineering 192

Engineering Speed Monitoring Efficiency 192

Dynatrace

JULY 11, 2023

This follow-up post introduces Davis ® AI for Workflows , showing you how to fully automate prediction and remediation of your future capacity demands. Predictive capacity management starts within a Dynatrace Notebook, where the operations team explores important capacity indicators, such as the percentage of free disks, as shown below.

Metrics 209

Metrics Games Analytics Network 209

Dynatrace

NOVEMBER 29, 2022

Infrastructure as code is a way to automate infrastructure provisioning and management. And it’s a crucial step toward achieving cloud automation on the path to NoOps. In my previous blog post, Path to NoOps part 1: How modern AIOps brings NoOps within reach, I explored the aspirations of NoOps and how modern AIOps makes it possible.

Infrastructure 176

Infrastructure Code Cloud DevOps 176

Dynatrace

DECEMBER 6, 2022

The ability to isolate certain software capabilities makes it easier to test, preview, release, and roll back small functional increments. This approach gives teams a high degree of flexibility and control over testing, beta releases, access privileges, and feature lifecycles. Explore the OpenFeature initiative further.

Open Source 212

Open Source DevOps Java Code 212

Testlodge

MARCH 12, 2024

System testing involves analyzing the behavior and functionality of a fully integrated application. It is the third of the four levels of testing, performed after unit and integration testing but before user acceptance testing. Types of System Testing This kind of testing can be both functional and non-functional.

Systems 90

Systems Testing Open Source Hardware 90

Dynatrace

FEBRUARY 16, 2023

Answers and automation are essential for BizDevSecOps success. Automation and intelligence are necessary for organizations to extract value from data and gain a comprehensive understanding of their environment. It also shifts right to provide runtime security testing against zero-day attacks.

Analytics 175

Analytics Innovation Cloud Scalability 175

Dynatrace

APRIL 30, 2021

As organizations develop more applications and microservices, they are discovering they also need to run more performance tests in the same amount of time or less to meet service-level objectives (SLOs) that fulfill service-level agreements (SLAs). How can organizations address this process bottleneck and run more tests in less time?

Engineering 205

Engineering Testing Performance Performance Testing 205

The Netflix TechBlog

DECEMBER 8, 2021

We knew that given our scale, we needed to rely heavily on automations and that we needed to build our solutions using battle tested scalable infrastructure. We’re still exploring new ways we might be able to use this, and are excited for how we might evolve our approach in the near future.

AWS 196

AWS Cloud Infrastructure Scalability 196

DZone

JUNE 8, 2020

While performing automated browser testing, there’ll be plenty of times when you’d have to handle the dropdown menu. Thereby, it becomes vital that while testing any website or access form, we know how to handle dropdown with WebDriverIO as well.

Website 204

Website Testing Performance 204

DZone

JUNE 1, 2020

As applications are designed and developed for varied platforms, spanning mobile, desktop, and cloud, testing user interfaces has turned into an increasingly complicated and risk-prone job. While having its series of challenges and loopholes, automated UI testing is gaining traction. 55% of businesses conduct UX testing.

Testing Tools 159

Testing Tools Open Source Mobile Internet 159

Dynatrace

DECEMBER 27, 2022

SLOs promote automation. Stable, well-calibrated SLOs pave the way for teams to automate additional processes and testing throughout the software delivery lifecycle. In what follows, we explore some of these best practices and guidance for implementing service-level objectives in your monitored environment. Availability.

Software 269

Software Software Benchmarking Latency 269

Dynatrace

JULY 30, 2021

The Unbreakable Delivery Pipeline” automates the delivery and operational tasks to increase the delivery frequency and reduce lead time, while ensuring never releasing breaking changes in production. Our Cloud Automation Roadshow brings the latest cloud-native automation practices to our attendees.

Cloud 214

Cloud DevOps Azure Virtualization 214

Dynatrace

JANUARY 23, 2023

While some of these are already done, such as adding additional compute, others require more development and testing. This is in active development and testing now, and we anticipate this being completed by the end of Q1. It is our goal to make this even faster and more automated.

Social Media 130

Social Media Cache Traffic Media 130

Dynatrace

AUGUST 2, 2021

Metric calculations also provide alerting and automation value. The Data explorer. With the update to Dynatrace version 1.222, you can now use the new Data explorer interface to interactively build, test, and create your own metric calculations—right on your dashboards. Not yet a Dynatrace customer?

Metrics 246

Metrics Analytics Google Code 246

Dynatrace

SEPTEMBER 28, 2021

” With this in mind, we begin to explore the next iteration of DevOps success. Two important ways to improve this metric are to implement quality assurance testing throughout multiple development environments and to automate testing and DevOps processes. Percentage of code covered by automated tests.

DevOps 205

DevOps Metrics Traffic Efficiency 205

Dynatrace

MARCH 14, 2022

As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation. Amid so much change, teams can no longer rely on time-consuming, manual approaches for building, testing, operating, and upgrading software.

Healthcare 232

Healthcare Artificial Intelligence Innovation Strategy 232