Dynatrace Blog

Software intelligence for the enterprise cloud – transform faster and compete more effectively in the digital age.

Applying real-world AIOps use cases to your operations

Metric events: Set up anomaly detection based on your business needs

What is AIOps? An insider’s guide to AI for ITOps — and beyond

What is artificial intelligence? See how it differs from machine learning in IT ops

Getting answers from data starts with automated log acquisition, at any scale

Dynatrace Managed release notes version 1.252

Dynatrace SaaS release notes version 1.252

How to maximize serverless benefits and overcome its challenges

Bootstrapping DevOps automation: How to accelerate your SRE journey with DevOps automation best practices

Cybersecurity Awareness Month: Essential cybersecurity best practices to safeguard your organization

Any analysis, any time: Dynatrace Log Management and Analytics powered by Grail

How a data lakehouse brings data insights to life

Dynatrace Grail: The data lakehouse for observability and security analysis and automation

What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

How unified data and analytics offers a new approach to software intelligence

Business analytics tools: Use cases and best practices for IT business analytics

Dynatrace SaaS release notes version 1.251

Dynatrace expands root cause analysis for Kubernetes with Davis AI

IT automation central to navigating cloud complexity and data explosion

What is DevOps automation?

Why digital transformation hinges on SRE teams

Dynatrace Managed release notes version 1.250

Understand and replay Android app crashes with Session Replay

Best practices for building a strong DevSecOps maturity model