2020 Analytics Artificial Intelligence Monitoring 
Dynatrace
NOVEMBER 20, 2020
We are excited to announce that Dynatrace has been named a Leader in the Forrester Wave™: Artificial Intelligence for IT Operations (AIOps), 2020 report. Other strengths include microservices, transaction, and customer experience (CX) monitoring, and intelligent analytics. Dynatrace news.
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 in 2020 to $4.1 What is log monitoring? What is log analytics? Log monitoring vs log analytics. Dynatrace news.
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Dynatrace
MAY 4, 2021
According to the Dynatrace 2020 Global CIO Report , companies now spend an average of $4.8 AIOps offers an alternative to traditional infrastructure monitoring and management with end-to-end visibility and observability into IT stacks. ” Current monitoring tools are frequently point solutions.
Dynatrace
JANUARY 12, 2021
A 2020 Global Survey found that 56% of CIOs think their IT teams can never complete everything the business needs, and 70% agree their teams waste precious time on manual tasks that could be automated if only they had the means. Observability is the new standard of visibility and monitoring for cloud-native architectures.
Dynatrace
JUNE 1, 2020
Application Performance Monitoring (APM) in its simplest terms is what practitioners use to ensure consistent availability, performance, and response times to applications. Websites, mobile apps, and business applications are typical use cases for monitoring. Performance monitoring. Application monitoring. Dynatrace news.
Dynatrace
JUNE 1, 2020
Application Performance Monitoring (APM) in its simplest terms is what practitioners use to ensure consistent availability, performance, and response times to applications. Websites, mobile apps, and business applications are typical use cases for monitoring. APM can be referred to as: Application performance monitoring.
Dynatrace
NOVEMBER 2, 2022
This methodology combines software design, development, automation, operations, and analytics to boost customer experience, increase application security, and reduce downtime that affects business outcomes. Today, software development teams use artificial intelligence (AI) to conduct software testing so they can eliminate human intervention.
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