Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. A truly modern AIOps solution also serves the entire software development lifecycle to address the volume, velocity, and complexity of multicloud environments.

Artificial Intelligence 291

Artificial Intelligence Cloud Innovation Strategy 291

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” Only deterministic AIOps technology enables fully automated cloud operations across the entire enterprise development lifecycle.

Artificial Intelligence 218

Artificial Intelligence DevOps Innovation Metrics 218

Dynatrace

JULY 6, 2020

As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy. See the health of your big data resources at a glance. Azure Front Door.

Azure 150

Azure Cloud Big Data Virtualization 150

Scalegrid

MARCH 14, 2024

Developing Your Hybrid Cloud Strategy When devising a strategy for a hybrid cloud, numerous critical elements must be considered. Features enabling automation and orchestration should be present to simplify operations, minimize mistakes, and expedite data integration.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Alex Podelko

DECEMBER 19, 2019

which would be great to attend to keep up with recent developments and their impact on my area. How is DevOps changing the Modern Software Development Landscape? , – Today’s hottest question for development – how we build performance engineering into continuous integration. a Panel Discussion.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

Dynatrace

APRIL 25, 2023

Exploratory analytics with collaborative analytics capabilities can be a lifeline for CloudOps, ITOps, site reliability engineering, and other teams struggling to access, analyze, and conquer the never-ending deluge of big data. These analytics can help teams understand the stories hidden within the data and share valuable insights.

Analytics 206

Analytics Big Data Media Operating System 206

High Scalability

APRIL 14, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 105

Education Software Engineering Scalability Engineering 105

High Scalability

MAY 12, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 102

Education Software Engineering Scalability Engineering 102

High Scalability

APRIL 28, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 102

Education Software Engineering Scalability Engineering 102

High Scalability

MARCH 24, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 105

Education Software Engineering Engineering Big Data 105

High Scalability

MAY 26, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 100

Education AWS Software Engineering Scalability 100

High Scalability

MARCH 30, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 105

Education Software Engineering Engineering Big Data 105

Testsigma

MAY 14, 2021

Examples are DevOps, AWS, Big Data, Testing as Service, testing environments. However, they may differ from organization to organization but these are the standard ones: Developers: To perform unit and integration testing, apart from development.

Cloud 67

Cloud Testing Testing Tools Internet 67

Testsigma

JULY 14, 2020

Whereas, if the test data is hardcoded in the test scripts, the lines of code increase tremendously and such coding practices compromise on the reusability of the program. Since there are separate folders/locations of the test data and test scripts, there is clarity in the development and maintenance of both. Enhanced clarity.

Testing 63

Testing Artificial Intelligence DevOps Big Data 63

Testsigma

FEBRUARY 12, 2021

With the latest developments in IT sector services, the sector of QA testing has seen significant improvement and growth. The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. Multi-experience has been one of the top developments trends in technology in 2020.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Dynatrace

SEPTEMBER 15, 2020

In my recent Performance Clinic with Stefano Doni , CTO & Co-Founder of Akamas , I made the statement, “Application development and release cycles today are measured in days, instead of months. Supported technologies include cloud services, big data, databases, OS, containers, and application runtimes like the JVM.

Performance 189

Performance Java Metrics Cloud 189

All Things Distributed

DECEMBER 8, 2016

The new Canada (Central) Region offers a robust suite of infrastructure, management, and developer services that can enable innovators to deploy market-leading applications. To increase online readership, it worked with AWS Partner Network (APN) Partner ClearScale to develop a personal recommendation capability. Rapid time to market.

AWS 155

AWS Cloud Lambda Innovation 155

All Things Distributed

DECEMBER 20, 2017

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Kärcher benefits as well: By developing this service, the company gets exact insight into how the machines are actually used by its customers.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Testsigma

MAY 7, 2020

IBM Big Data and Analytics Hub website cited a case study, where a US insurance company was estimating 15% of their testing efforts to be just test data collection for the backend system and the frontend system. It is a high-risk process because the sensitive data of customers’ is at stake.

Testing 60

Testing Storage Database Processing 60