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.
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.
Like a well-prepared community bracing for the impact of a natural disaster, databases must be equipped to face unforeseen challenges. In the world of databases, few things are as dreaded as running out of memory, a situation referred to as OOM. Enter Aerospike's savior: the stop-writes condition, a protective measure designed to avert the nightmarish scenario of OOM. It acts as a vigilant sentinel, ensuring your database stays far from the brink of unrecoverable states. Think of it as your emergency go-bag or the life vest under your seat, offering respite when you need it most, though you hope never to use it.
In June of this year, Aerospike put graph developers front and center with the announcement of a new, developer-ready, real-time scalable graph database. Aerospike Graph is a massively scalable, high-performance graph database that simplifies building and deploying applications for highly connected enterprise-scale datasets.
YAML Schema Suggestions!
Aerospike's configuration format can be difficult to learn and lacks the ecosystem of more standard configuration formats. Using the asconfig tool, new in Aerospike tools 8.3.0, you can write an Aerospike configuration in a standard YAML format with schema validation and IDE suggestions.
In this blog post, I’ll cover new features and changes in the generally available (GA) release of Aerospike 6.4.This release concludes our secondary index storage offerings with the introduction of secondary index on flash.
Source: Photo by Jason Dent on Unsplash
Aerospike is renowned as a very fast, very scalable database capable of storing billions or trillions of records, as well as being able to replicate the data to multipe remote database clusters. Hence, a common question which arises is: "How can I validate that two clusters are in sync?". This used to be a difficult problem, but new API calls in Aerospike v5.6 make this task substantially easier. In this blog we will look at one of these new API calls and use it to develop some code to show how a cluster comparator could be written.