Every day, organizations face numerous challenges in delivering integrated digital services that are essential to achieving their business goals.
The mainframe provides a specialized environment that is ideal for secure transaction processing. It is particularly suited for application workloads that require the highest levels of security, reliability, and scalability. Such workloads include financial transactions, healthcare records, and government services, which demand absolute trust. By utilizing mainframes for these tasks, organizations can leverage optimized hybrid environments to achieve exceptional performance and efficiency, all while reducing costs and risks.
"One of the prerequisites for a successful hybrid cloud is maintaining observability, which includes all telemetry signals: logs, metrics, and traces. Having these signals combined in a unified, AI-powered observability platform, such as Dynatrace, and the agility of IBM Z enhances the effectiveness of AIOps workflows in addressing."
— Director of Infrastructure and Services, International Bank
As part of the IBM Ecosystem, the Dynatrace® software intelligence platform helps companies manage the complexity of digital services and hybrid clouds by providing holistic, end-to-end visibility—from the frontend, where customers interact with the application, to the backend, where business transactions are processed.
Business Challenge
IBM Z is recognized for its security, resiliency, agility, performance and scale, however, managing hybrid cloud environments presents organizations with daily challenges in delivering integrated digital services while maintaining comprehensive observability. Without combining telemetry signals-logs, metrics, and traces-into a unified solution, the effectiveness of AIOps workflows is diminished, leading to inefficiencies and wasted investments.
Transformation Story
The Dynatrace® software intelligence platform, unified AI-powered observability platform, helps organizations overcome these challenges by providing end-to-end visibility from mobile to mainframe. Key features include:
- Extending the root cause analysis for any issue identified by Davis® AI with logs
- Offering log management and collection in a single place for public and private clouds and mainframe platforms such as IBM Z or LinuxONE.
- Centralized data masking rules that allow administrators to easily configure the masking of sensitive data.
This holistic approach provides visibility across the entire digital ecosystem, enabling organizations to deliver seamless services and improve business outcomes.
Next Steps
After 60 years, mainframe computers remain essential in today's rapidly evolving technological landscape, serving as a cornerstone for hybrid cloud optimization, AI innovation, and digital transformation. To harness its full potential, explore Log Management and Analytics powered by Dynatrace Grail™ or Log Monitoring Classic (for Dynatrace Managed deployments). For more information, please visit the following links:
