DZone

APRIL 21, 2023

Test tools are software or hardware designed to test a system or application. Some test tools are intended for developers during the development process, while others are designed for quality assurance teams or end users.

Testing Tools 187

Testing Tools Best Practices Testing Hardware 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

DZone

JANUARY 12, 2021

There are different options to terminate a process in Unix/Linux flavor of operating systems. This article intends to list and provide examples of each option. You can use the kill command to terminate a process by passing the process id. PID is the process ID of the process that you want to terminate.

Processing 138

Processing Operating System Systems Open Source 138

DZone

OCTOBER 17, 2022

Knowing anti-patterns and pitfalls is often more useful than knowing patterns when designing a system, so I decided to write this blog post about factors that I think will lead to producing unreliable systems from my experiences in designing (mostly) distributed enterprise applications. What Is Modeling?

Systems 100

Systems Design Processing Development 100

DZone

JUNE 28, 2023

As part of the testing process, testers usually draft test scenarios that force the system to meet new requirements. The organization can optimize infrastructure costs and create the best user experience by determining server-side robustness and client-side degradation.

Best Practices 141

Best Practices Scalability Testing Infrastructure 141

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. Log analytics, on the other hand, is the process of using the gathered logs to extract business or operational insight.

Systems 189

Systems Cloud Analytics DevOps 189

Tasktop

JUNE 20, 2022

This is easier said than done, so we’ve designed three sets of OKRs examples for software companies to show how it’s possible. In these examples, the product value streams incorporate Flow Metrics into their key results to drive agility and a value focus. Examples of quarterly OKRs for software companies. Activities.

Software 96

Software Software Healthcare Mobile 96

High Scalability

JUNE 15, 2020

What is the name of your system and where can we find out more about it? The system is the data pipeline at TripleLift. Over the last 3 years, the TripleLift data pipeline scaled from processing millions of events per day to processing billions. Why did you decide to build this system?

Processing 206

Processing Data Engineering Engineering Efficiency 206

DZone

AUGUST 5, 2019

In the previous posts in this series, we've seen some examples of long-running processes , how to model them, and where to store the state. But building distributed systems is hard. And if we are aware of the fallacies of distributed systems , then we know that things fail all the time.

Processing 100

Processing Strategy Systems Performance 100

DZone

MARCH 9, 2023

Software testing is the process of verifying the working of the software system or application. In other words, it ensures the software application is bug-free and addresses the technical and user requirements.

Best Practices 100

Best Practices Software Software Testing 100

HammerDB

MARCH 25, 2023

Docker build, example CLI scripts were added to build and run the TPROC-C workload in the Tcl language. This post will give an overview of the example CLI scripts that you can run directly or use as a template to write your own. Linux example For a first example we will look at the TPROC-C workload in Tcl running on MariaDB on Linux.

C++ 83

C++ Virtualization Benchmarking Database 83

Dynatrace

JANUARY 29, 2024

Closed-loop remediation is an IT operations process that detects issues or incidents, takes corrective actions, and verifies that the remediation action was successful. How closed-loop remediation works Closed-loop remediation uses a multi-step process that goes beyond simple problem remediation.

Best Practices 197

Best Practices DevOps Energy Innovation 197

Dynatrace

APRIL 18, 2024

Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior. For example, an observability solution can track and analyze usage data to help engineers understand how and when to scale resources based on system demand.

DevOps 184

DevOps Engineering Artificial Intelligence Infrastructure 184

Dynatrace

AUGUST 27, 2019

In Part 1 we explored how DevOps teams can prevent a process crash from taking down services across an organization in five easy steps. In this alert, xMatters includes all the important incident information from Dynatrace, so there’s no need for you to visit additional system dashboards. xMatters creates and updates Jira issues.

Systems 176

Systems DevOps Latency Azure 176

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

Dynatrace

AUGUST 10, 2023

But existing business intelligence (BI) tools often lack the broad context, ease of data access, and real-time insights needed to understand and improve customer experience and complex business processes. In both examples, we used Dynatrace OneAgent® deep payload inspection to capture business data in motion.

Database 231

Database Metrics Retail Analytics 231

Dynatrace

AUGUST 28, 2023

Let’s shift our focus to the backend systems and business processes, the behind-the-scenes heroes of end-to-end customer experience. These retail-business processes must work together efficiently to orchestrate customer satisfaction: Inventory management ensures you can anticipate and meet dynamic customer demand.

Retail 208

Retail Logistics Innovation Analytics 208

DZone

FEBRUARY 17, 2023

Each data point in a system that produces data on an ongoing basis corresponds to an Event. Event Stream Processing refers to the action taken on generated Events. Event Streams are described as a continuous flow of events or data points.

Processing 273

Processing Systems Development 273

The Netflix TechBlog

NOVEMBER 14, 2023

In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! We’ll discuss batch data processing, the limitations we faced, and how Psyberg emerged as a solution. Let’s dive in! What is late-arriving data? How does late-arriving data impact us?

Data Engineering 264

Data Engineering Engineering Processing Games 264

The Netflix TechBlog

MAY 4, 2023

Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience. These backend systems are consistently being evolved and optimized to meet and exceed customer and product expectations. This technique facilitates validation on multiple fronts.

Traffic 339

Traffic Latency Tuning Systems 339

Testsigma

JUNE 3, 2021

Example: An e-commerce website is unable to process the payment part. For example, a user has submitted a form, and the progress bar is showing no progress or activity then the user will get confused if the form has been submitted successfully or not. He may think that the software got stuck and a system restart is needed.

Software 82

Software Software Testing Hardware 82

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 252

AWS Efficiency Azure Cloud 252

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 challenge was that technology wasn't capable of processing real human conversation. All of these benefits make voice a game changer for interacting with all kinds of digital systems.

Systems 110

Systems AWS Games Transportation 110

Testlodge

NOVEMBER 1, 2021

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. ” Destructive testing is a method that uses the system in a way other than intended to make the software program deliberately fail. Automated Tools.

Systems 81

Systems Testing Software Software 81

Dynatrace

FEBRUARY 21, 2024

Quality gates examples in Dynatrace Quality gates hold much promise for organizations looking to release better software faster. The following are specific examples that demonstrate quality gates in action: Security gates Security gates ensure code meets key security requirements defined by development and security stakeholders.

Speed 212

Speed Software Software Latency 212

DZone

MAY 15, 2023

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

The Morning Paper

OCTOBER 11, 2020

Orbital edge computing: nanosatellite constellations as a new class of computer system , Denby & Lucia, ASPLOS’20. Only space system architects don’t call it request-response, they call it a ‘ bent-pipe architecture.’. The old ground-initiated command-and-control style systems aren’t going to work for these finer-grained systems.

Systems 125

Systems Latency Architecture Energy 125

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? Unfortunately, Kubernetes deployments can be fraught with challenges beyond the surface level.

Open Source 272

Open Source Hardware DevOps Infrastructure 272

Dynatrace

MAY 2, 2024

Across the globe, privacy laws grant individuals data subject rights, such as the right to access and delete personal data processed about them. 2] — Nader Henein, VP Analyst, Gartner The Privacy Rights app is designed to streamline this process in Dynatrace.

Tuning 132

Tuning Scalability Efficiency Processing 132

The Netflix TechBlog

DECEMBER 14, 2023

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The talk uses Apache Spark as an example, but the concepts generalize regardless of your specific tools. Learn more about how batch and streaming data pipelines are built at Netflix.

Data Engineering 259

Data Engineering Engineering Software Engineering Best Practices 259

Dynatrace

FEBRUARY 1, 2024

The complex interconnections in cloud-based systems make it crucial to always have a topological overview to understand dependencies. For example, an unnoticed database strain could slow down the response time of a web frontend, resulting in poor user experience. Host technologies in use with status information and links to processes.

Infrastructure 186

Infrastructure Metrics Network Monitoring 186

Dynatrace

MARCH 27, 2024

The automated extraction of ownership information, for example, from Kubernetes annotations, is therefore essential. Secondly, knowing who is responsible is essential but not sufficient, especially if you want to automate your triage process. An example via Monaco can be found in this public GitHub repository.

Best Practices 204

Best Practices Azure Database Code 204

Dynatrace

DECEMBER 21, 2023

You might optimize your cooling system or move your data center to a colder region with reduced cooling demands. And while these examples were resolved by just asking a few questions, in many cases, the answers are more elusive, requiring real-time and historical drill-downs into the processes and dependencies specific to each host.

Cloud 214

Cloud Energy Best Practices Cache 214

Dynatrace

JANUARY 31, 2024

GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. For example, a Stanford University and UC Berkeley team noted in a research study that ChatGPT behavior deteriorates over time. For example, generating an image requires as much power as fully charging your smartphone.

Cache 209

Cache Azure Infrastructure Monitoring 209

DZone

JANUARY 31, 2024

SIEM platforms streamline incident response processes, allowing security teams to respond quickly and effectively to security incidents. SIEM systems enable early detection of security threats and suspicious activities by analyzing vast amounts of log data in real time.

Storage 136

Storage Data Engineering Network Infrastructure 136

Dynatrace

JANUARY 18, 2024

DevOps tools , security response systems , search technologies, and more have all benefited from AI technology’s progress. In a perfect world, a robust AI model can perform complex tasks while users observe the decision process and audit any errors or concerns. Explainable AI methodologies are still in the early stages of development.

Artificial Intelligence 217

Artificial Intelligence Healthcare Government Technology 217

Dynatrace

MARCH 27, 2024

This is further exacerbated by the fact that a significant portion of their IT budgets are allocated to maintaining outdated legacy systems. By combining AI and observability, government agencies can create more intelligent and responsive systems that are better equipped to tackle the challenges of today and tomorrow.

Government 163

Government Network Artificial Intelligence Cloud 163