Driving Value with Dynatrace Modern Log Management

Dynatrace unifies observability telemetry, including logs, into a single, AI-powered platform, empowering businesses to act faster and make smarter real-time decisions.

Use Case: Observe and troubleshoot applications

Dynatrace empowers teams with fast root cause analysis to significantly reduce mean time to identify (MTTI) and mean time to resolution (MTTR) while enabling preventive operations through automation.

Case study: ADT

See their story

ADT recently launched ADT+, a streamlined platform for managing smart home systems. It's built on Kubernetes and distributed across regions on Google Cloud, creating a complex technology ecosystem that relies on both first- and third-party services.

Challenge

ADT needed to ensure its teams could manage this complexity and identify problems before they impacted customers.

Solution

Deploy a modern observability platform to gain visibility across distributed systems.

Results

  • 30-40% reduction in log monitoring costs

  • Dynatrace Intelligence identifies the root cause of service issues faster, often before customers are impacted

  • AutomationEngine resolves common issues in seconds

Case study: FreedomPay

See their story

FreedomPay developers lacked a unified observability source across on-premises, Azure, and third-party payments environments, leading to slower MTTI and frustrated customers.

Challenge

FreedomPay developers lacked sufficient data to resolve issues, and customers had to wait up to 2 months for a solution in some cases.

Solution

Use the Dynatrace platform to ingest logs alongside other observability telemetry into Dynatrace's Grail data lake house. From there, Casual AI Engine could automatically provide SREs with the root cause of application issues, thus reducing troubleshooting time.

Results

  • 80% reduction in MTTR

Use Case: Log management

Seamlessly ingest, process, and analyze logs at massive scale. Powered by the Grail data lakehouse and Dynatrace Intelligence, Dynatrace eliminates traditional log management limitations. Logs are automatically contextualized, enabling proactive, AI-driven insights and deterministic root cause analysis.

Case study: CareSource

See their story

As a healthcare company, CareSource needed to ensure its services were available whenever members needed them, and the organization wanted to foster a proactive service management culture.

Challenge

Find a way to empower engineers to identify and resolve potential problems before they impact members and providers.

Solution

Adopt Dynatrace as a new observability platform to increase adoption among its engineering team and accelerate time-to-insights.

Results

  • 30% reduction in MTTR

  • 99% uptime achieved for prior authorization service

  • $1m in projected savings due to consolidation

Unify log management and analytics with AI and automation

Dynatrace Log Management drives business outcomes as part of a unified observability platform. Learn how Dynatrace can transform your logs by trying for yourself in the

Dynatrace Playground