DZone

JANUARY 23, 2022

Datacenter - data center failure where the whole DC could become unavailable due to power failure, network connectivity failure, environmental catastrophe, etc. Redundancy by building additional data centers. this is addressed through monitoring and redundancy. Again the approach here is the same. Again the approach here is the same.

Hardware 243

Hardware DevOps Network Storage 243

Dynatrace

MARCH 28, 2024

Lest readers believe that business digital transformation has fallen out of fashion, recent data suggests that digital transformation initiatives are still high on the agenda for today’s leaders. DevOps can also reduce human error throughout the software deployment process.

C++ 190

C++ Artificial Intelligence DevOps Innovation 190

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 144

Artificial Intelligence Cloud Best Practices DevOps 144

O'Reilly

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The average salary for data and AI professionals who responded to the survey was $146,000. We didn’t use the data from these respondents; in practice, discarding this data had no effect on the results.

Azure 145

Azure Social Media Programming AWS 145

Dynatrace

FEBRUARY 2, 2022

In September, we announced the availability of the Dynatrace Software Intelligence Platform on Microsoft Azure as a SaaS solution and natively in the Azure portal. This means you no longer have to procure new hardware, which can be a time-consuming and expensive process. Dynatrace news.

Azure 322

Azure Availability Hardware Innovation 322

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

Scalegrid

NOVEMBER 29, 2023

The rise of Database-as-a-Service (DBaaS) is not just a trend but a strategic response to the growing complexities of data management. Data Center Dynamics highlights a significant uptick in DBaaS adoption, growing from 40% to 45% between 2019 and 2020. Your data will always be intact.

Healthcare 130

Healthcare Hardware Database Scalability 130

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

High Scalability

DECEMBER 16, 2022

Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. Additionally, cloud computing allows for greater collaboration and innovation, as it enables users to access and share data and resources from anywhere, at any time. Can you expand?

Cloud 201

Cloud Serverless Internet Internet 201

Dynatrace

DECEMBER 15, 2022

Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. Collect raw data in virtual and nonvirtual environments from multiple feeds, normalize and structure the data, and aggregate it for alerts.

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

Dynatrace

JANUARY 16, 2023

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. Open-source software drives a vibrant Kubernetes ecosystem. Java, Go, and Node.js

Open Source 346

Open Source Java Operating System Programming 346

Dynatrace

MARCH 8, 2021

We do our best to provide support for all popular hardware and OS platforms that are used by our customers for the hosting of their business services. Please check our detailed OneAgent support matrix to learn about feature availability on specific hardware and software platforms. What about ActiveGates? What about ActiveGates?

Operating System 236

Operating System Hardware Technology Technology 236

DZone

DECEMBER 27, 2020

CPU consumption in Unix/Linux operating systems is studied using eight different metrics: User CPU time, System CPU time, nice CPU time, Idle CPU time, Waiting CPU time, Hardware Interrupt CPU time, Software Interrupt CPU time, Stolen CPU time. Let’s review each of the CPU time in this article. User CPU Time and System CPU Time.

Operating System 211

Operating System Hardware Network Systems 211

O'Reilly

NOVEMBER 7, 2019

Experts from across the software architecture world came together in Berlin for the O’Reilly Software Architecture Conference. Watch “ The three-headed dog: Architecture, process, structure “ Modern machine learning architectures: Data and hardware and platform, oh my.

Software Architecture 53

Software Architecture Architecture Software Software 53

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. Message queue software options to consider. TIBCO Enterprise Message Service features compatibility with software written in Java.

Monitoring 205

Monitoring Serverless Programming Speed 205

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. Message queue software options to consider. TIBCO Enterprise Message Service features compatibility with software written in Java.

Monitoring 204

Monitoring Serverless Programming Speed 204

DZone

MARCH 27, 2020

The output of one software used as an input to another reciprocally and the whole process executed with interface language like XML. Web Service and Mobile App Testing. Generally, we can say that: Web services are packet sized applications that communicate with each other via network but in a precise format.

Mobile 147

Mobile Testing Hardware Network 147

Dynatrace

NOVEMBER 2, 2023

Unified observability is the ability to know how systems and infrastructure are performing based on the data they generate, such as logs, metrics, and traces. In modern cloud environments, every piece of hardware, software, cloud infrastructure component, container, open-source tool, and microservice generates records of every activity.

Cloud 227

Cloud Infrastructure Strategy Hardware 227

Dynatrace

JUNE 15, 2023

Incorporating cloud application security practices is an effective way for organizations to avoid application security risks, ensure a smoothly running software development lifecycle (SDLC), and establish an overall strong security posture. However, open source software is often a vector for security vulnerabilities.

Cloud 181

Cloud Open Source Architecture Monitoring 181

Dynatrace

AUGUST 26, 2020

“ Dynatrace just makes observability easy—it works out-of-the-box, no silos of data, no DIY stitching together tools, no wasted time, and no wasted resources.” There’s no other competing software that can provide this level of value with minimum effort and optimal hardware utilization that can scale up to web-scale!

Performance 150

Performance Hardware Java Storage 150

Dynatrace

SEPTEMBER 22, 2021

and, just like other software or hardware products, DNA runs internal testing groups where employees can beta test new devices and give feedback so that any annoying usability issues are addressed before hitting the mass market. Crashes sometimes happen because of a specific combination of hardware, software and the environment (e.g.,

Mobile 197

Mobile Media Hardware Network 197

The Netflix TechBlog

NOVEMBER 9, 2021

The Android launch leveraged the open-source software decoder dav1d built by the VideoLAN, VLC, and FFmpeg communities and sponsored by AOMedia. While software decoders enable AV1 playback for more powerful devices, a majority of Netflix members enjoy their favorite shows on TVs. TV manufacturers released TVs ready for AV1 streaming.

Media 246

Media Open Source Efficiency Software Engineering 246

DZone

FEBRUARY 8, 2022

But what is the metric that shows service hardware monopolization by a group of users? Quality metrics contain: The ratio of successfully processed requests. Distribution of processing time between requests. Number of requests dependent curves. This metric absence reduces the quality and user satisfaction of the service.

Network 246

Network Hardware Metrics Processing 246

Percona

FEBRUARY 9, 2023

You need to ensure that you are backing up all the data. Or did you shut down a project that no longer needs to be part of the backup procedure, at least after rigorous data archiving? Third, double-check the version of the software that is in use. First, how are your backups? Fourth and finally, how are you doing?

Database 87

Database Open Source Hardware Operating System 87

Dynatrace

APRIL 5, 2021

But with the benefits also come concerns about observability, and how to monitor and manage ever-expanding cloud software stacks. AWS Lambda enables organizations to access many types of functions from AWS’ cloud-based services, such as: Data processing, to execute code based on triggers, system states, or user actions.

Lambda 183

Lambda AWS Serverless Hardware 183

Percona

NOVEMBER 2, 2023

Powerful change streams and support for data definition language operations. x: Flexible modification of time-series data. New operators and variables for advanced data transformations. Protection against data loss : Older MongoDB versions pose a risk of data loss due to unsupported software. In MongoDB 6.x:

Best Practices 84

Best Practices Hardware Tuning Scalability 84

ACM Sigarch

OCTOBER 10, 2022

Otherwise, there is a risk of repeating many of the mistakes from classical computers where, for many years, security at the hardware and architecture levels was an afterthought. They can be categorized into need to protect the computation and data on the quantum computers, and the quantum computer architectures themselves.

Architecture 72

Architecture Hardware Programming Cloud 72

Dynatrace

OCTOBER 28, 2021

Chaos engineering is a method of testing distributed software that deliberately introduces failure and faulty scenarios to verify its resilience in the face of random disruptions. Practitioners subject software to a controlled, simulated crisis to test for unstable behavior. Chaos engineers ask why. The history of chaos engineering.

Engineering 230

Engineering Entertainment Cloud Infrastructure 230

Dynatrace

SEPTEMBER 30, 2021

Cloud migration is the process of transferring some or all your data, software, and operations to a cloud-based computing environment that offers unlimited scale and high availability. With an on-prem data center, the organization bears the burden of securing the physical infrastructure and its digital assets. Reduced cost.

Cloud 169

Cloud Traffic Best Practices Strategy 169

All Things Distributed

DECEMBER 20, 2017

How companies can use ideas from mass production to create business with data. In this way, designers are part of an ecosystem in which the functionalities of simulations, data and people come together, enabling them to develop better products faster. Strategically, IT doesn't matter. More than mere support.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Dynatrace

NOVEMBER 29, 2022

The goal of Cloud Automation is for development teams to build better software faster and operations to automate mundane repetitive tasks and focus on innovation. As a result, teams must verify their data first because the triggering condition could be based on discovered data that is stale.

Infrastructure 176

Infrastructure Code Cloud DevOps 176

Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. better cluster resource utilization.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Abhishek Tiwari

JULY 12, 2018

Building data pipelines can offer strategic advantages to the business. Often companies underestimate the necessary effort and cost involved to build and maintain data pipelines. Data pipeline initiatives are generally unfinished projects. In this post, we will discuss why you should avoid building data pipelines in first place.

Latency 63

Latency Analytics Scalability Engineering 63

All Things Distributed

JULY 4, 2019

This week, the developers of Amazon Aurora have won the 2019 Association for Computing Machinery's (ACM) Special Interest Group on Management of Data (SIGMOD) Systems Award.

Systems 126

Systems Development Hardware Database 126

Uber Engineering

OCTOBER 30, 2018

Cluster management, a common software infrastructure among technology companies, aggregates compute resources from a collection of physical hosts into a shared resource pool, amplifying compute power and allowing for the flexible use of data center hardware.

Hardware 103

Hardware Infrastructure Engineering Technology 103

ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. Also, we cannot expect the programmer to know data placement and handle different memory latency and bandwidth in heterogeneous memory.

Latency 52

Latency Hardware Cache Architecture 52

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This not only enhances performance but also enables you to make more efficient use of your hardware resources, potentially resulting in cost savings on infrastructure.

Tuning 52

Tuning Database Performance Hardware 52