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5 posts tagged with "developers"

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· 6 min read
Naresh Maharaj

When using the Aerospike Kubernetes Operator, the complexity of configuring a high performance distributed database is abstracted away, making the task of instantiating an Aerospike database incredibly easy. However, even though Kubernetes leads us towards expecting equivalent results regardless of platform, we need to be mindful of the peculiarities of individual frameworks, particularly if we are repeatedly iterating processes. ​ This article focuses on AWS EKS provisioned storage which is dynamically created when using the Aerospike Kubernetes Operator. Ensuring that storage has been fully deleted and other redundant resources removed is a necessary housekeeping step if you are to avoid unwelcome AWS charges. ​

· 11 min read
Neel Phadnis

(Source: Photo by Jan Antonin Kolar on Unsplash Source: Photo by Jan Antonin Kolar on Unsplash

Queries, scans, indexes, pagination, and parallelism are common concepts in databases, but each database differs in specifics. It is vital to understand the specifics in order to get the most out of a database. In Aerospike, queries and indexes play a key role in realizing its speed-at-scale objective. The goal of this post is to help developers better understand the Aerospike capabilities in these areas.

· 9 min read
Neel Phadnis

(Source: Photo by Wilhelm Gunkel on [Unsplash]( ) Source: Photo by Wilhelm Gunkel on Unsplash

“Real-time describes various operations or processes that respond to inputs reliably within a specified time interval (Wikipedia).”

Real-time data must be processed soon after it is generated otherwise its value is diminished, and real-time applications must respond within a tight timeframe otherwise the user experience and business results are impaired. It is critical for real-time applications to have reliably fast access to all data, real-time or otherwise.

· 11 min read
Neel Phadnis

(Source: Photo by Cameron Ballard on [Unsplash]( ) Source: Photo by Cameron Ballard on Unsplash

The Collection Data Types (CDTs) in Aerospike are List and Map. They offer powerful capabilities to model and access your data for speed-at-scale. A major use of the CDTs is to store and process JSON documents efficiently. In the recent Aerospike Database 6.1 release, secondary index capabilities over the CDTs have been enhanced to make the CDTs even more useful and powerful for JSON documents in addition to other uses.

· 19 min read
Neel Phadnis

(Source: Photo by Alex wong on Unsplash [Unsplash]( ) Source: Photo by Alex wong on Unsplash Unsplash

SQL is broadly used as a data access language for analytics. Even if you are an application developer, chances are you have used it or at least are familiar with it.

Aerospike has broad support for SQL, enabling you to use SQL to access Aerospike data in multiple ways.