Dynatrace

JUNE 26, 2023

Software analytics offers the ability to gain and share insights from data emitted by software systems and related operational processes to develop higher-quality software faster while operating it efficiently and securely. This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI.

Software 187

Software Software Analytics Big Data 187

Alex Podelko

DECEMBER 19, 2019

System Performance Estimation, Evaluation, and Decision (SPEED) by Kingsum Chow, Yingying Wen, Alibaba. How is DevOps changing the Modern Software Development Landscape? , Solving the “Need for Speed” in the World of Continuous Integration by Vivek Koul, Mcgraw Hill. a Panel Discussion. Something we all struggle with.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

Dynatrace

DECEMBER 15, 2022

This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. If malware, data corruption, or another security breach occurs, ITOps teams work with security teams to identify, isolate, and remediate affected systems to minimize damage and data loss. ITOps vs. DevOps and DevSecOps.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

Testsigma

MAY 14, 2021

However, the primary goal of traditional testing and cloud-based testing remains the same i.e., to deliver high-quality and efficient software. Provides better testing speed, since it can run 24*7. Examples are DevOps, AWS, Big Data, Testing as Service, testing environments. Cloud-based testing advantages.

Cloud 67

Cloud Testing Testing Tools Internet 67

Testsigma

JULY 14, 2020

The result will be a very few defects in the production environment because all the possible data is already tested and issues have been fixed accordingly. Time-efficient. Due to the faster speed of automation and quick execution of a broader data set, the management and defect-related decisions could be concluded faster.

Testing 63

Testing Artificial Intelligence DevOps Big Data 63

All Things Distributed

DECEMBER 20, 2017

For example, Kärcher, the maker of cleaning technologies, manages its entire fleet through the cloud solution "Kärcher Fleet" This transmits data from the company's cleaning devices e.g. about the status of maintenance and loading, when the machines are used, and where the machines are located. This pattern should be broken.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. DevOps: Applying AIOps to development environments. DevOps can benefit from AIOps with support for more capable build-and-deploy pipelines.

DevOps 196

DevOps Artificial Intelligence Healthcare Innovation 196