DZone

JANUARY 18, 2023

Code coverage is a software quality metric commonly used during the development process that let’s you determine the degree of code that has been tested (or executed). To achieve optimal code coverage, it is essential that the test implementation (or test suites) tests a majority percent of the implemented code.

Code 317

Code Java C++ Metrics 317

DZone

JANUARY 10, 2024

Using updated and relevant security knowledge, your software developers can be the first line of defense. Discover how to create an effective and engaging training program for your developers. Set Goals for Developers Writing code can be a time-consuming process.

Development 285

Development Programming Code Software 285

DZone

JUNE 11, 2024

When we discuss code profiling with a team of developers, they often say, "We don't have time to profile our code: that's why we have performance testers ," or, "If your application or system runs very slowly, the developers and performance testers may suggest the infra team to simply add another server to the server farm."

Code 130

Code Engineering Performance Servers 130

DZone

MARCH 19, 2021

What Is Continuous Code Quality? The static code analysis can be used to expose the areas of code that can be improved in terms of quality, and even higher, we can integrate this static analysis into the development workflow, and thus, tackle the code quality issues in the early stages of the development even before they reach the production.

Code 188

Code Servers Technology Technology 188

Dynatrace

FEBRUARY 13, 2023

With the increasing amount of sensitive information stored and processed, it’s essential to ensure that systems are secure and protected against potential threats. Each must be evaluated by development teams, leading to wasted time and effort in identifying real vulnerabilities.

Code 214

Code Java Testing Tools Testing 214

Dynatrace

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The goal is to abstract away the underlying infrastructure’s complexities while providing a streamlined and standardized environment for development teams.

Engineering 251

Engineering Development DevOps Infrastructure 251

Dynatrace

JULY 31, 2023

Developers are increasingly responsible for ensuring the quality and security of code throughout the software lifecycle. Developer-first observability Adding Rookout to the Dynatrace platform will provide developers with increased code-level observability of Kubernetes-hosted production environments.

Code 221

Code Artificial Intelligence Government Performance Testing 221

The Netflix TechBlog

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

Processing 215

Processing Big Data Efficiency Engineering 215

Dynatrace

JUNE 10, 2022

The IT world is rife with jargon — and “as code” is no exception. “As code” means simplifying complex and time-consuming tasks by automating some, or all, of their processes. ” While this methodology extends to every layer of the IT stack, infrastructure as code (IAC) is the most prominent example.

Best Practices 222

Best Practices Infrastructure Code Speed 222

Dynatrace

APRIL 22, 2024

According to recent research from TechTarget’s Enterprise Strategy Group (ESG), generative AI will change software development activities, from quality assurance to debugging to CI/CD pipeline configuration. On the whole, survey respondents view AI as a way to accelerate software development and to improve software quality.

Software 179

Software Software Artificial Intelligence Development 179

O'Reilly

OCTOBER 22, 2024

By which I mean it can make developers produce more. The question is whether those developers are producing something good or not. The difference between an experienced developer and a junior is that an experienced developer knows: There’s more than one good solution to every problem. I want to be very clear here.

Development 107

Development Code Google Engineering 107

Dynatrace

NOVEMBER 6, 2023

Application observability helps IT teams gain visibility in their highly distributed systems, but what is developer observability and why is it important? In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. Observability is about answering.”

Development 274

Development DevOps Programming Cloud 274

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. Standards for consistency.

Engineering 195

Engineering Development Infrastructure Cloud 195

DZone

AUGUST 4, 2022

Testing is often viewed as a necessary evil in software development, in order to ensure the quality of applications. Most commonly, however, testing occurs after the coding process has been completed. In his book, he even wrote that testing should be done “even before a line of code is written.”

Code 246

Code Testing Software Software 246

Dynatrace

MARCH 16, 2021

HashiCorp’s Terraform is an open-source infrastructure as a code software tool that provides a consistent CLI workflow to manage hundreds of cloud services. With this integration, Dynatrace customers can now leverage Terraform to manage their monitoring infrastructure as code,” said Asad Ali, Senior Director of Sales Engineering at Dynatrace.

Code 245

Code Monitoring Best Practices Infrastructure 245

DZone

AUGUST 15, 2023

iOS development has long been associated with Apple's ecosystem and Xcode, which is only available for macOS. However, with the growing popularity of iOS apps, developers using Linux have sought ways to perform iOS development on their preferred operating system. Some of the popular cross-platform tools are:

Development 206

Development Mobile Operating System Code 206

Official Blog - World Web Technology

DECEMBER 4, 2023

You cannot leave SDLC unnoticed when you are into software development. How does it contribute to the software development process ? This article will explain why most companies and their software developers use SDLC to manage their development process. SDLC means Software Development Life Cycle.

Processing 64

Processing Software Software Development 64

DZone

SEPTEMBER 19, 2022

There's a handful of software developers on the planet today that seems to be "superhuman software developers". Becoming a superhuman software developer is actually incredibly easy. Becoming a superhuman software developer is actually incredibly easy. To write it out in code, imagine the following.

Software 241

Software Software Development Code 241

Dynatrace

MAY 3, 2021

The most forward-thinking teams want to take a “shift-left” approach to their security practices, engaging security practices and testing as early as possible in the software development life cycle. Willie Hicks discussed how Dynatrace Application Security helps organizations adopt a security-as-code approach.

Code 167

Code DevOps Speed Government 167

Smashing Magazine

JULY 8, 2021

Development Process. Development Process. Note: This article is aimed at both beginners and seasoned developers who want to better their Vue.js development. This method of modularization allows for efficient program development and easy debugging and modification in our application. Uma Victor.

Speed 135

Speed Processing Development Code 135

Kovair

AUGUST 7, 2023

Code review is one of the most critical practices in a software development project. Whether you are just starting your programming career or a seasoned.

Code 52

Code Processing Programming Software 52

Dynatrace

FEBRUARY 9, 2022

One of the primary drivers behind digital transformation initiatives is the desire to streamline application development and delivery to bring higher quality, more secure software to market faster. Key components of GitOps are declarative infrastructure as code, orchestration, and observability.

Code 229

Code Software Software DevOps 229

Dynatrace

OCTOBER 21, 2020

If that’s the case, the update process continues to the next set of clusters and that process continues until all clusters are updated to the new version. And the code-level root cause information is what makes troubleshooting easy for developers. Step 3: Identifying root-cause in code.

Code 245

Code Cloud Engineering Java 245

Dynatrace

NOVEMBER 29, 2022

Infrastructure as code is a way to automate infrastructure provisioning and management. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code. Infrastructure-as-code. But how does it work in practice? Cloud Automation use cases.

Infrastructure 184

Infrastructure Code Cloud DevOps 184

Dynatrace

AUGUST 17, 2021

2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. Dynatrace news.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. Dynatrace news.

Architecture 246

Architecture Software Software Development 246

Dynatrace

JANUARY 13, 2021

Dynatrace’s OneAgent automatically captures PurePaths and analyzes transactions end-to-end across every tier of your application technology stack with no code changes, from the browser all the way down to the code and database level. Monitoring-as-code requirements at Dynatrace.

Open Source 142

Open Source Code Monitoring Azure 142

Tech News Gather

JUNE 1, 2023

In the current trend, app development is essential for business owners and e-commerce. Of course, as a developer, you have to prefer the best framework to develop apps faster. Coding is necessary when it comes to every app development. But at the same time, some developers lack skill development.

Code 52

Code Development Innovation Efficiency 52

DZone

MARCH 7, 2023

Apache Spark is a powerful open-source distributed computing framework that provides a variety of APIs to support big data processing. PySpark is the Python API for Apache Spark , which allows Python developers to write Spark applications using Python instead of Scala or Java.

Big Data 173

Big Data Code Tuning Open Source 173

Dynatrace

OCTOBER 17, 2019

And with today’s increasing financial, availability, performance and innovation requirements meaning applications need to be geographically dispersed to constantly changing dynamic powerhouses, it has become simply not possible to provision, update, monitor and decommissions them by only leveraging manual processes.

Code 112

Code Infrastructure DevOps Serverless 112

DZone

DECEMBER 21, 2020

Applications used in the field of Big Data process huge amounts of information, and this often happens in real time. Naturally, such applications must be highly reliable so that no error in the code can interfere with data processing. It is an open-source framework for distributed processing of large amounts of data.

Code 153

Code Java Big Data Open Source 153

Dynatrace

DECEMBER 16, 2020

Security controls in the software development life cycle (SDL). Typically, the attackers attempt to exploit some weakness in the vendor’s development or delivery life cycle and attempt to inject malicious code before an application is signed and certified. Security controls in the software development life cycle (SDL).

Software 247

Software Software Development AWS 247

Dynatrace

AUGUST 13, 2024

Modern observability and security require comprehensive access to your hosts, processes, services, and applications to monitor system performance, conduct live debugging, and ensure application security protection. At Dynatrace, we’ve implemented a thorough and industry-proven approach to developing OneAgent ® that minimizes such risks.

Monitoring 258

Monitoring Open Source Testing Software 258

Dynatrace

NOVEMBER 13, 2020

Flutter offers a mobile development model that allows you to do just that. Today, the production apps of many big companies use Flutter, which has a steadily growing community of developers. ” As a developer, you might want to quickly find and analyze errors and crashes to make sure they don’t recur.

Code 185

Code Mobile Monitoring Infrastructure 185

O'Reilly

SEPTEMBER 12, 2023

A few weeks ago, I saw a tweet that said “Writing code isn’t the problem. That statement nicely summarizes what makes software development difficult. Anyone who works in programming has seen the source code for some project evolve from something short, sweet, and clean to a seething mass of bits. Controlling complexity is.”

Software 124

Software Software Development Programming 124

DZone

SEPTEMBER 8, 2020

Test Driven Development is a process where developers write the test case first and then run the test case to fail. Then, they gradually write the minimum corresponding code needed to successfully execute the test cases and then finally refactors the new code to acceptable standards. What Is TDD?

Development 130

Development Testing Code Processing 130

The Netflix TechBlog

OCTOBER 14, 2024

Overview At Netflix, the Analytics and Developer Experience organization, part of the Data Platform, offers a product called Workbench. Workbench is a remote development workspace based on Titus that allows data practitioners to work with big data and machine learning use cases at scale. the JupyterLab process) rather than the network.

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Latency Virtualization Traffic Processing 211