Developers familiar with Aerospike will know that the vast majority of the API calls take a “policy” as a parameter. This policy is optional but can have a significant impact on the application. There are a number of parameters in policies that can be confusing to developers, and even creating the policies is frequently done incorrectly. This blog will attempt to clear up some of this confusion.
Aerospike Developer Blog
Curated articles about application development and operations using Aerospike
This blog is part of a continuing series showing how to use the Aerospike LINQPad driver. For other blogs in this series, please see:
The latest release of Spring Data Aerospike, version 4.6.0, brings a host of exciting new features and enhancements. This blog will delve into three key highlights: support for native Aerospike keys, using paginated queries, and the ability to create custom queries.
Discover how Aerospike's Cross Datacenter Replication feature (XDR) transfers data between clusters effortlessly.
This post outlines how to establish connectivity between two Aerospike clusters by leveraging Aerospike's Cross Datacenter Replication (XDR) feature to seamlessly transmit data from a source cluster to a destination cluster, providing high availability for critical data systems.
When working with NoSQL databases like Aerospike, which are designed for unstructured data storage, adopting strongly typed languages like C# may introduce programming complexities. These can stem from verifying the presence of "bins" (akin to columns) within a record and bin data types that can change between records.
The new Spring Data Aerospike release 4.6.0 introduces several new features and enhancements. In this article, we will talk about customizing set names and using batch write operations. Other major new features are described in the second part.
In this blog post, we detail how to create an Amazon Managed Streaming for Apache Kafka (Amazon MSK) resource using AWS Identity and Access Management (AWS IAM) in roles and policies to authenticate user access. In the initial step, we establish an Aerospike Database cluster and insert sample messages into the database. Subsequently, we observe in real time how these messages are streamed to Amazon MSK using Aerospike's Kafka Source Connector.
Get ready to deploy a real-world dataset on Aerospike Graph and execute queries in just a few minutes.
Ready to dive into new realms of graph technology and discover fascinating insights with each click? Whether you're a curious beginner or a seasoned graph explorer searching for fresh perspectives, this blog is meant for you.
Aerospike Database 7
Welcome to Aerospike Database 7, and the initial server 7.0 release that sets the foundation for big developer API additions in server 7.1 and beyond. Server 7.0 also overhauls in-memory namespace in significant ways.
As the adoption of Kubernetes (K8s) continues to rise, the necessity for efficient management tools for software running on this platform also increases. For users of Aerospike on Kubernetes, this need is addressed by the Aerospike Kubernetes Operator Control (akoctl) tool. This command-line utility offers simplified and streamlined interactions with the Aerospike Kubernetes Operator, providing essential functions that ease the day-to-day operations of Aerospike clusters within a Kubernetes environment.