Dynatrace

MAY 1, 2023

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. Here are the six steps of a typical ITOA process : Define the data infrastructure strategy.

Analytics 188

Analytics Artificial Intelligence Big Data Open Source 188

Scalegrid

FEBRUARY 8, 2024

This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology. Distributed storage technologies use innovative tools such as Hive, Apache Hadoop, and MongoDB, among others, to proficiently deal with processing extensive volumes encountered in multiple-node-based systems.

Storage 130

Storage Systems Big Data Azure 130

Dotcom-Montior

NOVEMBER 27, 2018

Today’s applications are built on multiple technologies, relying on vast networks of third-party providers and CDN’s. Additionally, end users can access your site or applications from anywhere in the world using different browsers, operating systems, and mobile devices, all with varying connection speeds.

Performance Testing 40

Performance Testing Strategy Testing Performance 40

Dynatrace

NOVEMBER 3, 2022

These containers are software packages that include all the relevant dependencies needed to run software on any system. CaaS automates the processes of hosting, deploying, and managing container technologies. Enterprises can deploy containers faster, as there’s no need to test infrastructure or build clusters.

Serverless 218

Serverless Azure Hardware Transportation 218

Dynatrace

JANUARY 26, 2021

The phrase “serverless computing” appears contradictory at first, but for years now, successful companies have understood the benefit of using serverless technologies to streamline operations and reduce costs. There is no need to plan for extra resources, update operating systems, or install frameworks.

Serverless 244

Serverless Efficiency Lambda Azure 244

Dynatrace

SEPTEMBER 29, 2021

If cloud-native technologies and containers are on your radar, you’ve likely encountered Docker and Kubernetes and might be wondering how they relate to each other. In a nutshell, they are complementary and, in part, overlapping technologies to create, manage, and operate containers. Dynatrace news. Why containers?

Open Source 302

Open Source Traffic DevOps Cloud 302

Dynatrace

JUNE 25, 2020

We’re therefore proud to announce Premium High Availability for Dynatrace Managed to address exactly this need in a completely turnkey manner without any external load balancing or replication technologies. Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization.

Availability 247

Availability Hardware Latency Traffic 247

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

The Netflix TechBlog

MARCH 8, 2021

To meet this need, the Studio Infrastructure team has created Netflix Workstations. They need specialized hardware, access to petabytes of images, and digital content creation applications with controlled licenses. We needed a system that could manage hundreds to one-day thousands of workstations.

Entertainment 306

Entertainment Storage Hardware Open Source 306

Scalegrid

DECEMBER 21, 2023

This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency. These feedback loops allow you to develop more accurate assessments when deploying new versions or updates related to Redis® infrastructure.

Strategy 130

Strategy Monitoring Latency DevOps 130

Testsigma

MAY 19, 2021

These both can be regarded as the latest techs in the arsenal of information technology. Today, we are here to talk about the successful amalgamation of DevOps and cloud-based technologies that is amazing in itself. Cloud-based solutions are extremely cheap when compared to building and maintaining a DevOps infrastructure on-premise.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

Dotcom-Montior

NOVEMBER 24, 2021

With the rapid advancements in web application technologies, programming languages, cloud computing services, microservices, hybrid environments, etc., monitoring distributed systems becomes much more difficult to carry out and manage. Software and hardware components are autonomous and execute tasks concurrently. Complexity.

Systems 74

Systems Monitoring Hardware Network 74

Testsigma

FEBRUARY 5, 2021

Device Infrastructure. Once you have chosen your target devices, consider the architectural aspect of your hardware. The obvious takeaway of embracing automation testing for mobile apps is that you simultaneously test a wide range of devices, operating systems, and network types. Automated Testing. CI/CD Integration.

Mobile 52

Mobile Testing Hardware DevOps 52

The Morning Paper

MARCH 1, 2020

The traditional view is that there is a choice between virtualization with strong security and high overhead, and container technologies with weaker security and minimal overhead. This tradeoff is unacceptable to public infrastructure providers, who need both strong security and minimal overhead. Approaches to isolation.

Serverless 101

Serverless Virtualization Lambda AWS 101

Dynatrace

NOVEMBER 20, 2019

The IBM Z platform is a range of mainframe hardware solutions that are quite frequently used in large computing shops. Typically, these shops run the z/OS operating system, but more recently, it’s not uncommon to see the Z hardware running special versions of Linux distributions. Host-performance measures.

Availability 31

Availability Hardware Java Tuning 31

Dynatrace

AUGUST 8, 2019

The IBM Z platform is a range of mainframe hardware solutions that are quite frequently used in large computing shops. Typically, these shops run the z/OS operating system, but more recently, it’s not uncommon to see the Z hardware running special versions of Linux distributions. Host-performance measures.

Availability 25

Availability Hardware Java Tuning 25

Dynatrace

APRIL 15, 2024

Nearly all government technology leaders (97%) reported the complexity of their technology stack has increased in the past 12 months. The importance of critical infrastructure and services While digital government is necessary, protecting critical infrastructure and services is equally important.

Infrastructure 209

Infrastructure Efficiency Government Transportation 209

O'Reilly Software

APRIL 4, 2018

To remain competitive in a market that demands real-time responses to these digital pulses, organizations are adopting fast data applications as key assets in their technology portfolio. The adoption of fast data technologies is on a steep rise. In the same year, Apache Flink announced streaming SQL support.

Architecture 80

Architecture Scalability Google Operating System 80

SQL Server According to Bob

DECEMBER 18, 2018

The operating system signals completion when the I/O stack finishes the request. Linux provides different system calls (syscall)/commands for asynchronous behavior. Common File Systems Used For SQL Server Deployments. Windows New Technology File System. Windows Resilient File System. Device Flush.

Servers 90

Servers Media Cache Storage 90

Scalegrid

JULY 13, 2020

Compare ease of use across compatibility, extensions, tuning, operating systems, languages and support providers. PostgreSQL is an open source object-relational database system with over 30 years of active development. You can compare all of their license costs in their Oracle Technology Global Price List. PostgreSQL.

Open Source 244

Open Source Tuning C++ Database 244

High Scalability

NOVEMBER 25, 2019

Infrastructure Optimization. Do you use any particularly cool technologies or algorithms? You can’t optimize what you can’t measure: Measure everything possible and relevant and then optimize parts of systems that are used 80% of the time first. What Infrastructure Do You Use? Video Transcoding. Permissions.

Architecture 52

Architecture Cache Azure Storage 52