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Best practices and key metrics for improving mobile app performance

Dynatrace

User demographics , such as app version, operating system, location, and device type, can help tailor an app to better meet users’ needs and preferences. Here are some ways observability data is important to mobile app performance monitoring. Load time and network latency metrics. Issue remediation. Proactive monitoring.

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. It can achieve impressive performance, handling up to 50 million operations per second.

Metrics 130
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Enhancing Kubernetes cluster management key to platform engineering success

Dynatrace

As organizations continue to modernize their technology stacks, many turn to Kubernetes , an open source container orchestration system for automating software deployment, scaling, and management. Providing at-a-glance data makes it possible for teams to quickly identify high-level issues and then drill down into the details.

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Faster time to value with enhanced handling of OneAgent runtime data

Dynatrace

Recent improvements in OneAgent runtime-data handling. Operating Systems are not always set up in the same way. Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. Customizable location of large runtime files. See details below.

Storage 147
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Optimize your environment: Unveiling Dynatrace Hyper-V extension for enhanced performance and efficient troubleshooting

Dynatrace

Hyper-V plays a vital role in ensuring the reliable operations of data centers that are based on Microsoft platforms. Microsoft Hyper-V is a virtualization platform that manages virtual machines (VMs) on Windows-based systems. Optimize resource allocation, identify bottlenecks, and improve overall system performance.

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Front-End: Cache Strategies You Should Know

DZone

It is a transversal component that applies to all the tech areas and architecture layers such as operating systems, data platforms, backend, frontend, and other components. It is a transparent layer for the data consumer in terms of user usability except to improve performance. What Is a Cache?

Cache 141
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Lessons learned from enterprise service-level objective management

Dynatrace

Every organization’s goal is to keep its systems available and resilient to support business demands. Lastly, error budgets, as the difference between a current state and the target, represent the maximum amount of time a system can fail per the contractual agreement without repercussions. Dynatrace news. A world of misunderstandings.