Remove Analytics Remove Cache Remove Latency Remove Mobile
article thumbnail

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. What is mobile app performance?

article thumbnail

Redis vs Memcached in 2024

Scalegrid

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 130
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Expanding the Cloud with DNS - Introducing Amazon Route 53 - All.

All Things Distributed

To reach an individual you will look up him or her in your address book, and select a phone (home, work, mobile) and then a number to dial. There are two main types of DNS servers: authoritative servers and caching resolvers. Caching techniques ensure that the DNS system doesnt get overloaded with queries.

Cloud 117
article thumbnail

How We Optimized Performance To Serve A Global Audience

Smashing Magazine

But once we had a good understanding, we knew exactly what to look for and began analyzing the analytics of our user data to identify areas that could be improved. We can then forward this data to a custom analytics service. In the following screenshot, you can see that we have differentiated between mobile and desktop traffic.

article thumbnail

In-Stream Big Data Processing

Highly Scalable

This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. High performance and mobility. Interoperability with Hadoop. The engine should be compact and efficient, so one can deploy it in multiple datacenters on small clusters.

Big Data 154
article thumbnail

A one size fits all database doesn't fit anyone

All Things Distributed

Typical use cases for a relational database include web and mobile applications, enterprise applications, and online gaming. Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values.

Database 167
article thumbnail

An Enterprise-Grade MongoDB Alternative Without Licensing or Lock-in

Percona

It’s a good setup for real-time analytics and high-speed logging. MongoDB is preferable for working with content management systems and mobile apps. Redis can handle a high volume of operations per second, making it useful for running applications that require low latency. And MongoDB is popular across industries.