Dynatrace

JANUARY 16, 2023

Likewise, the share of cloud-hosted clusters increased from 31% in 2021 to 45% in 2022. Accordingly, the remaining 27% of clusters are self-managed by the customer on cloud virtual machines. In 2021, in a typical Kubernetes cluster, application workloads accounted for most of the pods (59%).

Open Source 343

Open Source Java Operating System Programming 343

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In late 2021, for example, digital forensics was central to combating the Log4Shell vulnerability. Dynatrace news. What is log analytics? Peak performance analysis.

Analytics 214

Analytics Storage Retail Monitoring 214

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In late 2021, for example, digital forensics was central to combating the Log4Shell vulnerability. Dynatrace news. What is log analytics? Peak performance analysis.

Analytics 181

Analytics Storage Retail Monitoring 181

Testsigma

JUNE 26, 2021

MarketQuest (2021) predicts automation testing to grow at a Compound Annual Growth Rate (CAGR) of 9.8% Globally, organizations across banking, retail, automotive, healthcare, etc., Before we explore codeless automation testing in detail, we recommend reading: Software Testing Trends in 2021. for the next five years.

Testing 57

Testing Testing Tools Automotive Scalability 57

Smashing Magazine

SEPTEMBER 20, 2021

2021-09-20T11:30:00+00:00. 2021-09-20T14:12:33+00:00. For example, someone might web scrape all the product pages of a competitor’s retail site to harvest information about products being offered and current pricing to try to gain a competitive edge. Are Imposter Domains Re-Publishing Your Website? Ken Harker. Conclusion.

Website 89

Website Analytics Google Cache 89

Testsigma

FEBRUARY 18, 2020

AI evolves basically around 2 stages of the learning process: 1. Deep learning: employs artificial neural networks that keep learning constantly by processing both negative and positive data. Natural Language Processing: the capability of the machine to understand human language as it is spoken. Artificial Narrow Intelligence.

Artificial Intelligence 52

Artificial Intelligence Healthcare Programming Logistics 52