Tag: devops
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Ensuring High Availability in Hybrid Cloud and Mainframe MQ Monitoring
High availability is frequently discussed but often misunderstood—especially when dealing with hybrid cloud and mainframe environments. Ensuring high availability in MQ monitoring across these environments requires a comprehensive strategy, careful planning, and sometimes, a bit of trial and error. Below are key strategies to ensure that MQ monitoring is always reliable, no matter where systems
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Role-Based Access Control in Apache Kafka® Cluster Management
Role-Based Access Control (RBAC) is an essential component of Apache Kafka® cluster management. If you’ve ever dealt with Apache Kafka®, you know how powerful it is, but you also know how quickly things can get out of hand without proper controls in place. That’s where RBAC comes in. It’s like having a bouncer at the
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The Impact of MQ Tuning on Mainframe Performance and Scalability
When it comes to mainframe performance, MQ tuning is often one of the most underrated aspects. We’ve seen firsthand how it can make a significant difference in system performance. In one of our projects, a mainframe environment was struggling to keep up with the load. Applications were lagging, users were frustrated, and the hardware, despite
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How to Integrate MQ Monitoring into Modernized Mainframe Environments
Integrating MQ monitoring into a newly modernized mainframe environment isn’t something you can just wing. We’ve worked on projects where it seemed straightforward at first—just plug in some monitoring tools and you’re good to go, right? Not quite. The reality is, if you don’t approach this with a plan, you’ll find yourself tangled in a
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7 DevOps practices to improve application performance
Devops is tough, but the choice between faster development and improving reliability shouldn’t be. Consider shifting-left security, better observability, AIops platforms, and more. Devops is primarily associated with the collaboration between developers and operations to improve the delivery and reliability of applications in production. The most common best practices aim to replace manual, error-prone procedures