Remove Architecture Remove Benchmarking Remove Development Remove Latency
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Implementing service-level objectives to improve software quality

Dynatrace

As more organizations embrace microservices-based architecture to deliver goods and services digitally, maintaining customer satisfaction has become exponentially more challenging. Instead, they can ensure that services comport with the pre-established benchmarks. Latency is the time that it takes a request to be served.

Software 262
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Plan Your Multi Cloud Strategy

Scalegrid

Deploying a multi-cloud environment involves a concerted effort in planning, negotiation with vendors, skill development, and understanding the advanced use cases of a multi-cloud approach for tailored industry solutions and compliance. They can also bolster uptime and limit latency issues or potential downtimes.

Strategy 130
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Five Data-Loading Patterns To Improve Frontend Performance

Smashing Magazine

On your first try, you can use it as a benchmark for optimizations later. Developing software is becoming easier as frameworks like React, Vue, or Angular become the go-to solution for creating even the simplest applications. Because of this, Jamstack apps usually load faster, but it’s harder for developers to make dynamic content.

Cache 126
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Why OpenStack is like a Crowdfunded Viking Movie

VoltDB

In addition, such custom systems could only be benchmarked once they were deployed, so by the time multiple layers of management had each added a 50% safety margin to the initial SWAG , it was not unusual to see them running at 10% of capacity (but 150% of the lucky hardware salesman’s annual quota).

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Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices

The Morning Paper

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. on end-to-end latency) and less than 0.15% on throughput.

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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. Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load.

Cache 130
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Kubernetes for Big Data Workloads

Abhishek Tiwari

faster development and deployment cycles. The good news is all of these challenges including performance can be tackled and in several cases, there are new developments to overcome them. For instance, scatter/gather pattern can be used to implement a MapReduce like batch processing architecture on top of Kubernetes.