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Best practices and key metrics for improving mobile app performance

Dynatrace

Mobile applications (apps) are an increasingly important channel for reaching customers, but the distributed nature of mobile app platforms and delivery networks can cause performance problems that leave users frustrated, or worse, turning to competitors. Load time and network latency metrics. Minimize network requests.

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

Dynatrace

It enables multiple operating systems to run simultaneously on the same physical hardware and integrates closely with Windows-hosted services. Firstly, managing virtual networks can be complex as networking in a virtual environment differs significantly from traditional networking.

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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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Redis® Monitoring Strategies for 2024

Scalegrid

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130
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Dynatrace Managed turnkey Premium High Availability for globally distributed data centers (Early Adopter)

Dynatrace

This means that Dynatrace continues full operation when a majority of nodes are up and a maximum of two nodes are down at a time. The network latency between cluster nodes should be around 10 ms or less. Minimized cross-data center network traffic. Automatic recovery for outages for up to 72 hours.

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Faster time to value with enhanced handling of OneAgent runtime data

Dynatrace

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. Storage and network transfer of files is a measurable cost. Recent improvements in OneAgent runtime-data handling. See details below.

Storage 147
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Lessons learned from enterprise service-level objective management

Dynatrace

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. Organizations have multiple stakeholders and almost always have different teams that set up monitoring, operate systems, and develop new functionality.