Dynatrace

NOVEMBER 5, 2019

Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace. Do I need more than Azure Monitor? Azure Monitor features. Application Insights – Collects performance metrics of the application code. Available as an agent installer).

Azure 136

Azure Artificial Intelligence Metrics Innovation 136

Dynatrace

FEBRUARY 16, 2023

That’s why, in part, major cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform are discussing cloud optimization. You have to get automation and analytical capabilities.” That’s why teams need a modern observability approach with artificial intelligence at its core. “We

Artificial Intelligence 190

Artificial Intelligence Analytics Cloud Innovation 190

Dynatrace

NOVEMBER 22, 2021

Having recently achieved AWS Machine Learning Competency status in the new Applied Artificial Intelligence (Applied AI) category for its use of the AWS platform, Dynatrace has demonstrated success building AI-powered solutions on AWS. Not just logs, metrics and traces. 9 key DevOps metrics for success.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Dynatrace

NOVEMBER 20, 2023

Causal AI is an artificial intelligence technique used to determine the precise underlying causes and effects of events. Using What is artificial intelligence? So, what is artificial intelligence? The short answer: The three pillars of observability—logs, metrics, and traces—concentrated in a data lakehouse.

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

Dynatrace

OCTOBER 30, 2023

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

Best Practices 239

Best Practices Analytics Artificial Intelligence Infrastructure 239

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. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

OCTOBER 6, 2023

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. There is a default bucket for each table. Here is the list of tables and corresponding default buckets in Grail.

Artificial Intelligence 258

Artificial Intelligence Analytics Metrics Storage 258