Testsigma

JULY 3, 2021

More control: While performing on-premise testing, organizations have more control over configurations, setup, hardware, and software. They’re free to plan their upgrades or operational maintenance without involving any third-party businesses. When there is an increase in elements like devices, systems, software, etc. —

Cloud 57

Cloud Testing Storage DevOps 57

Testsigma

FEBRUARY 13, 2021

In addition, these tools fit perfectly well with Agile methodologies and DevOps. It’s not just about speeding up the deployment, the cloud-based testing tool cuts down on operational overhead costs like in-house infrastructure, maintenance of data, etc. But not just that, when there’s no requirement, it can be switched down too.

Cloud 52

Cloud Testing Testing Tools Small Business 52

Testsigma

MAY 19, 2021

DevOps and cloud-based computing have existed in our life for some time now. DevOps is a casket that contains automation as its basic principle. Today, we are here to talk about the successful amalgamation of DevOps and cloud-based technologies that is amazing in itself. Why Opt For Cloud-Based Solutions and DevOps?

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

Scalegrid

DECEMBER 21, 2023

This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency. Together, if managed properly, these approaches ensure scalability as well as maintain an acceptable level of system uptime and performance throughout peak usage periods.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

SEPTEMBER 29, 2021

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. The time and effort saved with testing and deployment are a game-changer for DevOps. In production, containers are easy to replicate.

Open Source 302

Open Source Traffic DevOps Cloud 302

Dynatrace

NOVEMBER 15, 2021

A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. Logs can include data about user inputs, system processes, and hardware states. “Logging” is the practice of generating and storing logs for later analysis.

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

Dynatrace

JANUARY 26, 2021

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. There is no need to plan for extra resources, update operating systems, or install frameworks. The provider is essentially your system administrator.

Serverless 244

Serverless Efficiency Lambda Azure 244

Testsigma

FEBRUARY 5, 2021

Here are the key reasons why it makes sense to have a dedicated mobile device lab: Find and fix bugs at the earliest Reduce the time-to-market Launch more features per app release Cover all possible mobile devices Agile and DevOps methodology. Once you have chosen your target devices, consider the architectural aspect of your hardware.

Mobile 52

Mobile Testing Hardware DevOps 52

Dotcom-Montior

NOVEMBER 24, 2021

Software and hardware components are autonomous and execute tasks concurrently. Concurrency refers to the system’s ability to carry out multiple tasks in parallel and manage the access and usage of shared resources. Big systems cost big money. Monitoring a Distributed System. Conclusion: Monitoring Distributed Systems.

Systems 74

Systems Monitoring Hardware Network 74

Dynatrace

NOVEMBER 22, 2022

An always-on infrastructure provides the foundation for system availability that can deliver five-nines availability. Traditionally, teams achieve this high level of uptime using a combination of high-capacity hardware, system redundancy, and failover models. Apply AI for real-time root-cause analysis.

Infrastructure 183

Infrastructure Availability Systems Retail 183

Percona

APRIL 17, 2023

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. Operating System (OS) settings Swappiness Swappiness is a Linux kernel setting that influences the behavior of the Virtual Memory manager when it needs to allocate a swap, ranging from 0-100.

Best Practices 52

Best Practices Design Tuning Database 52

J. Paul Reed

FEBRUARY 27, 2019

Developers work with tools that tend to be deterministic: compilers, linkers, operating systems are complex beasts, certainly, but we think of them as more or less deterministic: if we give them the same inputs, we generally expect the same outputs. It’s just an operating system or networking bug.

Entertainment 40

Entertainment Operating System Engineering Hardware 40

Testsigma

JUNE 19, 2020

Testsigma is a test automation ecosystem to plan, design, develop, execute, analyze, and report for continuous testing in Agile and DevOps. It supports multi-operating system support like Windows, Linux etc. It supports multi-operating system support like Windows, Linux etc. Advantages: 1. Disadvantages: 1.

Testing Tools 60

Testing Tools Testing Open Source Java 60

O'Reilly

JULY 15, 2020

Technical roles represented in the “Other” category include IT managers, data engineers, DevOps practitioners, data scientists, systems engineers, and systems administrators. Combined, technology verticals—software, computers/hardware, and telecommunications—account for about 35% of the audience (Figure 2).

Database 135

Database Architecture Education Systems 135

Adrian Cockcroft

NOVEMBER 11, 2019

A learning organization, disaster recovery testing, game days, and chaos engineering tools are all important components of a continuously resilient system. This discussion focuses on hardware, software and operational failure modes. that are used across multiple applications.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

A learning organization, disaster recovery testing, game days, and chaos engineering tools are all important components of a continuously resilient system. This discussion focuses on hardware, software and operational failure modes. that are used across multiple applications.

Latency 53

Latency Engineering Systems Hardware 53

High Scalability

NOVEMBER 25, 2019

There are 200 Engineers(DevOps/OPS/QA/Developers/…), the rest are sales, marketing, support, product management, HR, etc. It's a big team, we have Product managers, UX team, DevOps, scrum teams, architects, engineers performing various roles. What operating systems do you use? How Is Your Team Setup?

Architecture 52

Architecture Cache Azure Storage 52