June 2018 Summaries
3 posts from Aerospike
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Aerospike is a unique database known for its speed and efficient use of CPU and DRAM. It's commonly used in fraud detection, machine learning-based behavioral recommendations, advertising optimization, and other applications requiring terabytes of data. IBM Cloud offers two distinct advantages: it operates on "bare metal cloud" capabilities that can run parallel to standard virtualized machines, and its virtual machines do not undergo behind-the-scenes migrations which often lead to unexpected server restarts in some clouds. Aerospike's performance is enhanced by the IBM Cloud's bare metal capabilities, eliminating the need for a "shadow drive" configuration that can impact latency, performance, and cost. IBM also provides expanded hardware choices, allowing users to choose specific amounts of DRAM and storage options. Consulting with Aerospike's solutions architects can help recommend an optimal cloud spend and lowest possible latency based on the user's use case.
Jun 12, 2018
514 words in the original blog post.
The text discusses how traditional enterprises are under pressure to transform digitally in order to compete with their digitally native counterparts. It highlights the importance of a strong and scalable database, such as Aerospike, for building digital architectures. The article also introduces the concept of frictionless deployment of Aerospike Database in enterprises, focusing on three crucial tenets: interoperability, co-existence, and manageability. To address these areas, an Aerospike Ecosystems team has been formed to develop solutions and add-on products. One such solution is the Aerospike Real-time Analysis Framework 1.0, which enables real-time decisioning by combining stream event data with historical transaction data stored in the Aerospike database. This framework offers benefits like lower TCO for real-time analytics, rapid development using Spark libraries, and accelerated business insights.
Jun 08, 2018
892 words in the original blog post.
Aerospike has released its version 4.2, which focuses on improving efficiency and speed with changes such as a more efficient internal storage format, support for larger records, faster restart times, increased default number of "sprigs", improved intra-cluster communication code, and additional performance enhancements. The new storage format results in lower overhead per record, making the system more performant and reducing wear on writes. This release is available now for both Community Edition and Enterprise Edition users.
Jun 05, 2018
474 words in the original blog post.