Dynatrace

MAY 1, 2023

Then, big data analytics technologies, such as Hadoop, NoSQL, Spark, or Grail, the Dynatrace data lakehouse technology, interpret this information. Here are the six steps of a typical ITOA process : Define the data infrastructure strategy. Why use a data lakehouse for causal AI? Why is ITOA important? Apache Spark.

Analytics 181

Analytics Artificial Intelligence Big Data Open Source 181

Dynatrace

JANUARY 11, 2023

With more organizations taking the multicloud plunge, monitoring cloud infrastructure is critical to ensure all components of the cloud computing stack are available, high-performing, and secure. Website monitoring examines a cloud-hosted website’s processes, traffic, availability, and resource use. Database monitoring.

Cloud 217

Cloud Monitoring Best Practices Infrastructure 217

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. Of course, this information must be available to the AI and, therefore, part of the entity. How AI helps human operators.

DevOps 189

DevOps Artificial Intelligence Healthcare Innovation 189

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.” And, of course, this type of information needs to be available to the AI and, therefore, be part of the entity. What is AIOps?

Artificial Intelligence 205

Artificial Intelligence DevOps Innovation Metrics 205