DZone

SEPTEMBER 8, 2022

Configuration testing plays a critical part in the development life cycle by specifying the quality and portability of software. It helps to understand whether a program can be used on any operating system other than the one for which it was designed. Or whether there is any work required to make software run in the new environment.

Software 244

Software Software Testing Operating System 244

Dynatrace

FEBRUARY 21, 2024

To remain competitive in today’s fast-paced market, organizations must not only ensure that their digital infrastructure is functioning optimally but also that software deployments and updates are delivered rapidly and consistently. They help foster confidence and consistency throughout the entire software development lifecycle (SDLC).

Speed 209

Speed Software Software Latency 209

DZone

APRIL 21, 2023

Test tools are software or hardware designed to test a system or application. In addition to automating testing tasks, test tools can produce test data, monitor system performance, and report on test results. Various test tools are available for different types of testing, including unit testing, integration testing, and more.

Testing Tools 187

Testing Tools Best Practices Testing Hardware 187

Dynatrace

DECEMBER 27, 2022

When organizations implement SLOs, they can improve software development processes and application performance. SLOs improve software quality. Stable, well-calibrated SLOs pave the way for teams to automate additional processes and testing throughout the software delivery lifecycle. An example setup of a synthetic SLO.

Software 266

Software Software Benchmarking Latency 266

DZone

JUNE 28, 2023

Scalability testing is an approach to non-functional software testing that checks how well applications and infrastructure perform under increased or decreased workload conditions. It makes it easier to fix defects and ensure software applications' flawless functioning.

Best Practices 141

Best Practices Scalability Testing Infrastructure 141

Dynatrace

MAY 17, 2023

GPT (generative pre-trained transformer) technology and the LLM-based AI systems that drive it have huge implications and potential advantages for many tasks, from improving customer service to increasing employee productivity. This is one example of the many use cases we’re exploring.

Innovation 262

Innovation Software Software Artificial Intelligence 262

Dynatrace

NOVEMBER 2, 2022

Why organizations are turning to software development to deliver business value. Digital immunity has emerged as a strategic priority for organizations striving to create secure software development that delivers business value. Software development success no longer means just meeting project deadlines. Autonomous testing.

Software 198

Software Software Artificial Intelligence DevOps 198

Dynatrace

JULY 29, 2022

Software supply chain attacks emerge in full force. But today, software supply chain attacks are a key factor in the global movement of goods. Additionally, a global study of 1,000 CIOs indicated that 82% say their organizations are vulnerable to cyberattacks targeting software supply chains. Dynatrace news.

Software 192

Software Software Open Source DevOps 192

DZone

MAY 2, 2023

Black box testing is a software testing methodology that focuses on the functional requirements of a system without considering its internal workings or implementation details. Therefore, the tester need not have any knowledge of the internal structure or design of the system.

Best Practices 130

Best Practices Testing Design Systems 130

All Things Distributed

SEPTEMBER 14, 2020

A great example of this approach to innovation and problem solving is the creation of the AWS Nitro System , the underlying platform for our EC2 instances. Now, with the Nitro System, we can offer the best price performance in the cloud, the most secure environment, and a faster pace of innovation.

Virtualization 213

Virtualization AWS Systems Innovation 213

Testsigma

JUNE 3, 2021

The software will never be bug-free. Bugs could come up due to different reasons, in this article, we will discuss them from the perspective of software errors. We can divide the errors during software development into two sections for easy understanding: Software errors Testing errors. Software errors.

Software 82

Software Software Testing Hardware 82

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Distributed cloud systems are complex, dynamic, and difficult to manage without the proper tools. What is log management?

Systems 187

Systems Cloud Analytics DevOps 187

Testlodge

MARCH 12, 2024

System testing involves analyzing the behavior and functionality of a fully integrated application. To help us to understand, let’s use an example. While being integrated with the system, each component is analyzed individually. Types of System Testing This kind of testing can be both functional and non-functional.

Systems 90

Systems Testing Open Source Hardware 90

High Scalability

APRIL 9, 2020

Google added another book into their excellent SRE series: Building Secure and Reliable Systems. Copy/pasting a few paragraphs: "In this book we talk generally about systems, which is a conceptual way of thinking about the groups of components that cooperate to perform some function. It's free to download, so don't be shy.

Google 208

Google Systems Best Practices Strategy 208

Dynatrace

AUGUST 16, 2021

Many software delivery teams share the same pain points as they’re asked to support cloud adoption and modernization initiatives. Key ingredients required to deliver better software faster. Automating lifecycle orchestration including monitoring, remediation, and testing across the entire software development lifecycle (SDLC).

Software 246

Software Software Open Source Azure 246

Dynatrace

APRIL 18, 2024

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior.

DevOps 192

DevOps Engineering Artificial Intelligence Infrastructure 192

Dynatrace

SEPTEMBER 3, 2020

This already indicates that a few weeks if not months easily pass until one has honed the system far enough to completely trust it with production monitoring of business-critical applications. In contrast of the above-discussed machine learning, I would like to briefly explain the concept of fault tree analysis through the following example.

Software 264

Software Software Artificial Intelligence Metrics 264

Dynatrace

AUGUST 24, 2020

We’re pleased to announce that Dynatrace is among the first set of partners to offer support for AWS Distributor , a capability of AWS Systems Manager, that allows you to select from available popular third party agents to install and manage. What is AWS Systems Manager Distributor? Below is an example of the distribution log detail.

AWS 166

AWS Systems Monitoring Infrastructure 166

The Morning Paper

FEBRUARY 16, 2020

Migrating a privacy-safe information extraction system to a software 2.0 This is a comparatively short (7 pages) but very interesting paper detailing the migration of a software system to a ‘Software 2.0’ A really interesting thing happens when you go from developing a Software 1.0 (i.e.,

Systems 84

Systems Design Software Software 84

Percona

FEBRUARY 24, 2023

This is particularly important for large enterprises, where implementing least privilege access to all software used within the organization is likely required. To achieve this in a secure and efficient manner, a key requirement for any database monitoring and management software is to have robust access management features.

Metrics 106

Metrics Monitoring Database Engineering 106

Dynatrace

SEPTEMBER 29, 2021

In part one of this series , I talked through the common pain points software delivery teams face as they’re asked to support cloud adoption and modernization initiatives. Example #3 – Automate Monitoring configuration as code. Monitoring as Code workflow example. In this example, “deploy” the configuration.

Software 203

Software Software Open Source DevOps 203

Dynatrace

DECEMBER 16, 2020

Recently, some organizations fell victim to a software supply chain attack, which led to loss of confidential data. This article explains what a software supply chain attack is, and how Dynatrace protects its customers against such attacks by applying: Risk management and business continuity planning. It all starts with the code.

Software 236

Software Software Development AWS 236

Testlodge

NOVEMBER 1, 2021

A central goal of software testing is to find issues, especially critical ones, before they cause a problem in production. For example, it’s usual for software to have been designed with a specific use in mind, but the user doesn’t always understand the same way as the developers and testers. Tools for Testing.

Systems 81

Systems Testing Software Software 81

DZone

MAY 15, 2023

In today's fast-paced software development landscape, microservices have emerged as a popular architectural pattern. This architectural style enables teams to develop and deploy services independently, offering flexibility and scalability to the software development process. Let's take the example of an online marketplace application.

Best Practices 300

Best Practices Architecture Scalability Software 300

All Things Distributed

SEPTEMBER 14, 2020

A great example of this approach to innovation and problem solving is the creation of the AWS Nitro System (Nitro System), the underlying platform for our EC2 instances. Now, with the Nitro System, we can offer the best price performance in the cloud, the most secure environment, and a faster pace of innovation.

Virtualization 88

Virtualization AWS Systems Innovation 88

Dynatrace

JANUARY 22, 2024

That’s why causal AI use cases abound for organizations looking to build more reliable and transparent AI systems. Understanding complex systems Causal AI holds great importance for achieving full-stack observability in complex systems. Software development. Causal AI use cases can complement other types of AI.

Artificial Intelligence 210

Artificial Intelligence Healthcare Retail Government 210

Dynatrace

AUGUST 27, 2019

The Dynatrace all-in-one software intelligence platform gives your team real-time visibility into your underlying infrastructure —be it on bare metal, VMware, OpenStack, AWS, Azure, or a hybrid solution. Depending on the type of the issue, xMatters launches workflows across your systems to start the automated self-healing process.

Systems 176

Systems Latency DevOps Azure 176

Dynatrace

MARCH 20, 2024

Deploying software in Kubernetes is often viewed as a straightforward process—just use kubectl or a GitOps solution like ArgoCD to deploy a YAML file, and you’re all set, right? This is the problem domain on which Keptn can help Platform Engineers provide a solution and guard rails for teams to deploy software that works perfectly.

Open Source 270

Open Source Hardware DevOps Infrastructure 270

Dynatrace

JANUARY 29, 2024

Closed loop” refers to the continuous feedback loop in which the system takes actions — based on monitoring and analysis — and verifies the results to ensure complete problem remediation. The goal is to either improve or restore the system to its optimally functioning state. Ideally, this all occurs without human intervention.

Best Practices 194

Best Practices DevOps Energy Innovation 194

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services.

AWS 249

AWS Efficiency Azure Cloud 249

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 264

Development DevOps Programming Cloud 264

Dynatrace

MARCH 27, 2024

In any case, three building blocks are required to connect the right information to software artifacts. However, as software changes continuously due to new deployments and releases, so can responsibilities. The automated extraction of ownership information, for example, from Kubernetes annotations, is therefore essential.

Best Practices 201

Best Practices Azure Database Code 201

Dynatrace

MARCH 15, 2024

Syslog is the go-to protocol that delivers infrastructure administrators, network engineers, and security team logs that tell them all they need to know about their systems’ delivery, performance, availability, and security. Take a look at this example for configuration. Point your syslog sources to the collector and you’re done!

Open Source 203

Open Source Infrastructure Network Government 203

Dynatrace

DECEMBER 13, 2023

For example, DevOps teams will combine generative AI with fact-based causal and predictive AI to supercharge digital innovation by predicting and preventing issues before they occur and generating new workflows to automate the software delivery lifecycle. 2: AI-generated code will create the need for digital immune systems.

Technology 205

Technology Technology Artificial Intelligence Analytics 205

Official Blog - World Web Technology

JULY 7, 2023

Businesses increasingly rely on ecommerce software solutions to automate their processes and boost productivity as demand for online shopping keeps rising. Online sales, inventory, customer connections, and other business operations can all be managed by firms using various tools and platforms that make up ecommerce software solutions.

Ecommerce 52

Ecommerce Software Software Analytics 52

Dynatrace

MAY 2, 2024

With the ability to generate new content—such as images, text, audio, and other data—based on patterns and examples taken from existing data, organizations are rushing to capitalize on the AI model. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks.

Artificial Intelligence 214

Artificial Intelligence Cloud Best Practices DevOps 214

All Things Distributed

MARCH 12, 2018

A great example of this is the way we are using ML to deal with one of the world's biggest and most tangled datasets: human speech. The interfaces to our digital system have been dictated by the capabilities of our computer systems—keyboards, mice, graphical interfaces, remotes, and touch screens.

Systems 110

Systems AWS Games Transportation 110