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. billion by 2026 according to numerous market research reports. billion by 2026 according to numerous market research reports.
Dynatrace
NOVEMBER 7, 2023
According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026. Monitoring-as-code can also be configured in GitOps fashion. All important health signals are highlighted.
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Dynatrace
NOVEMBER 2, 2023
For pre-existing contractual arrangements with service providers, the standard will only apply from the next contract renewal date or 1 July 2026, whichever comes first. However, in highly complex cloud environments, compliance must be ongoing. At the same time, compliance in a cloud world is a moving target.
Dynatrace
OCTOBER 30, 2023
The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. Organizations need a more proactive approach to log management to tame this proliferation of cloud data.
Dynatrace
AUGUST 21, 2023
As organizations grow, cloud application environments create complexity that makes managing and analyzing log data difficult. Traditional monitoring approaches worked fine when an operator was tasked with tracking a simple, static system,” wrote Ali Siddiqui in “ How to harness the power of observability, AIOps and automation.”
Dynatrace
JANUARY 23, 2024
Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments.
Testsigma
FEBRUARY 12, 2021
And is projected to rise by more than 6 percent at CAGR(Compound Annual Growth Rate) between 2020 and 2026? Machine Learning (ML) and Artificial Intelligence (AI) programme testing and QA teams will develop their automatic research techniques, keeping track with recurring updates — with the assistance of analytics and monitoring.
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