![]() The environment is obviously different than on premises. That being said, I find that reproducing vendor benchmarks on any public cloud requires some attention to detail. ![]() Your team can get started quickly and can then move on to other work, such as adding features to your solution, without having to spend time tweaking Compute Engine instance settings. This is because simplicity results not only in reproducibility, but also more importantly, general productivity. It was basically, ‘plug it in, turn it on…and go.’ I’ll cover details about the instance types and sizes in subsequent sections, but this lack of need to twist and turn obscure (cloud) knobs, is significant. As mentioned, I was pleasantly surprised at the lack of manual configuration I had to do to validate this benchmark. One of the reasons I’ve been doing more and more Big Data project work on Compute Engine is due to its raw performance. Using Flash/SSDs results in a slight penalty on latency (~0.1ms longer on average), but allows you to scale with significantly smaller clusters and at a fraction of the cost.īenchmark Testing on GCE – TL DR – look ma’ it’s fast You can run purely in RAM, or take advantage of Flash/SSDs for storage. ![]() If a server goes down, Aerospike handles failover transparently the Aerospike client makes sure that your application can read or write replicated data automatically.You set the replication factor to 2 or more and configure Aerospike to operate with synchronous replication for immediate consistency and durability.Simply add additional nodes and Aerospike will automatically rebalance the data and traffic. You can add new capacity (data volume and throughput) dynamically. ![]()
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