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Dynatrace observability is now available for Red Hat OpenShift on the IBM® Power® architecture

Dynatrace

By leveraging the Dynatrace Operator and Dynatrace capabilities on Red Hat OpenShift on IBM Power, customers can accelerate their modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes.

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What is MTTR? How mean time to repair helps define DevOps incident management

Dynatrace

All these definitions are distinct and important. Most IT incident management systems use some form of the following metrics to handle incidents efficiently and maintain uninterrupted service for optimal customer experience. It shows how efficiently your DevOps team is at quickly diagnosing a problem and implementing a fix.

DevOps 212
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Best Practices for a Seamless MongoDB Upgrade

Percona

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Our new eBook, “ From Planning to Performance: MongoDB Upgrade Best Practices ,” guides you through the entire process to ensure your database’s long-term success. In MongoDB 6.x:

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The Performance Inequality Gap, 2024

Alex Russell

The usual caveats also apply: Performance is a deep and nuanced domain, and much can go wrong beyond content size and composition. How sites manage resources after-load can have a big impact on perceived performance. Until and unless teams have better data about their performance, the global baseline budget should be enforced.

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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language.

Java 207
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The Cloud is Not a Railroad - An Argument Against the Vertical Separation of Cloud Providers

High Scalability

Each cloud-native evolution is about using the hardware more efficiently. There's a huge short-term and long-term efficiency of services that depends on the successful coordination of cloud services and infrastructure. Does anyone really want to go back to the VM-centric days when we rolled everything ourselves?

Cloud 187
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Backup and Recovery for Databases: What You Should Know

Percona

In general terms, here are potential trouble spots: Hardware failure: Manufacturing defects, wear and tear, physical damage, and other factors can cause hardware to fail. heat) can damage hardware components and prompt data loss. Human mistakes: Incorrect configuration is an all-too-common cause of hardware and software failure.