Dynatrace

FEBRUARY 28, 2024

Dynatrace container monitoring supports customers as they collect metrics, traces, logs, and other observability-enabled data to improve the health and performance of containerized applications. VAPO is available in both Microsoft Azure and AWS.

Monitoring 246

Monitoring Artificial Intelligence Performance Healthcare 246

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. That’s why teams need a modern observability approach with artificial intelligence at its core. “We We start with data types—logs, metrics, traces, routes.

Artificial Intelligence 246

Artificial Intelligence Analytics Cloud Innovation 246

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 279

Artificial Intelligence Metrics Analytics Storage 279

Dynatrace

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. With clear insight into crucial system metrics, teams can automate more processes and responses with greater precision. billion in 2020 to $4.1 More automation.

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

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 246

AWS Lambda Artificial Intelligence Serverless 246

Dynatrace

OCTOBER 30, 2023

Application performance monitoring (APM) , infrastructure monitoring, log management, and artificial intelligence for IT operations (AIOps) can all converge into a single, integrated approach. In a unified strategy, logs are not limited to applications but encompass infrastructure, business events, and custom metrics.

Best Practices 290

Best Practices Analytics Artificial Intelligence Infrastructure 290

O'Reilly

MARCH 11, 2025

The US is proposing investing $500B in data centers for artificial intelligence, an amount that some commentators have compared to the USs investment in the interstate highway system. Amazon Web Services, Microsoft Azure, Google Cloud, and many smaller competitors offer hosting for AI applications.

Artificial Intelligence 60

Artificial Intelligence Infrastructure Government Games 60

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Because the scope of these solutions is limited by their nature, they also tend to create silos in which teams can disagree on service-level objectives (SLOs) and metrics.

Monitoring 165

Monitoring Mobile Social Media Infrastructure 165

Scalegrid

MARCH 14, 2024

Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands.

Strategy 130

Strategy Cloud Infrastructure Artificial Intelligence 130

O'Reilly

NOVEMBER 26, 2024

Any metric can be gamed (often called Goodhart’s law )—and grades are no exception, gamed both by faculty who need good ratings from students and by students who want good grades from faculty. A higher completion rate could indicate that the course teaches an emerging skill that is required in industry.

Education 92

Education Azure AWS Java 92