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Best practices and key metrics for improving mobile app performance

Dynatrace

From the customer perspective, mobile devices have become the singular touchpoint between businesses and users, for example, the new storefront, office, and customer support line. For example, an app that does not crash often but is frequently slow from a user’s perspective is providing a poor user experience.

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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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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. Example 1: Architecture boundaries.

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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. Another consequence of the recent discontinuation of support for 32-bit operating systems is the new default location of OneAgent for Windows.

Storage 146
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Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. As an illustrative example, let’s consider a toy instance of 16 hyperthreads.

Cache 251
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What is AWS Lambda?

Dynatrace

AWS Lambda enables organizations to access many types of functions from AWS’ cloud-based services, such as: Data processing, to execute code based on triggers, system states, or user actions. You will likely need to write code to integrate systems and handle complex tasks or incoming network requests. How does AWS Lambda work?

Lambda 178
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How digital experience monitoring helps deliver business observability

Dynatrace

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). Endpoint monitoring (EM). Endpoints can be physical (i.e.,