Aerospike VS hcl

Aerospike is a high performance, distributed, scalable, key value database. Aerospike leverages SSD technology to achieve levels of throughput and low latency exceeding even those obtained with in memory products. This allows hardware costs to be reduced 10x or more and data density to be increased 10x or more versus any other high performance solution.

Aerospike is a highly available and scalable NoSQL distributed database used in production to provide blazingly fast performance at Petabyte scale. Production deployments of Aerospike are almost always serving their data from NVMe drives, though it’s possible to run namespaces in memory.

Click the Try Now button in the upper-right corner of aerospike.com, enter your contact information and select the Enterprise Edition option.

Vault 1.7.0 is released, and it includes my contribution to support the Aerospike database as backend storage. See the release notes for more details.

Terraform HCL (HashiCorp Configuration Language) is an essential language for cloud engineers in 2024, particularly for those involved in infrastructure as code (IaC) practices. HCL is the configuration language used by Terraform, a widely adopted tool that enables engineers to define, provision, and manage cloud infrastructure using a declarative configuration approach. Learning Terraform HCL allows cloud engineers to automate the deployment and lifecycle management of cloud resources across various service providers, ensuring consistency, repeatability, and scalability of cloud environments.

Reminds me of [HCL](https://github.com/hashicorp/hcl), but without all the providers to deploy the config?

HCL: A Go implementation structured configuration language. The native syntax of HCL is inspired by libucl and nginx configurations. It is used to create a structured configuration language that is friendly to humans and machines, mainly for DevOps tools, server configurations, and resource configurations as a Terraform language.

HCL has a JSON representation [1], internally, objects behave that way. so it should be possible to write a Jsonnet wrapper around it. Terraform can currently parse json pipelines too.

[1]: https://github.com/hashicorp/hcl/blob/main/json/spec.md

>https://noyaml.com/

I'm not sure this is the criticism you think it is. Wow, so you basically have to add quotes to get strings in some ambiguous situations?

Yeah sure you could probably improve YAML by getting rid of these weird pitfalls, but that is a minor improvement. The alternative isn't something like TOML, because YAML is optimized for hierarchical configuration. It's every vendor implementing a different syntax such as Hashicorp with their HCL [0].

[0] https://github.com/hashicorp/hcl

The Hashicorp corporation has made a huge impact in providing valuable tools and platforms in the cloud ecosystem. The advantage of using the tools they provide, such as Terraform, Vault, and Packer, is that they all have the same language, Hashicorp Configuration Language (HCL). This means you can easily pick up any of these tools by learning HCL, which is similar to JSON. This approach can be useful when choosing tools to learn or use for a project.

Format is HCL language feature: https://github.com/hashicorp/hcl/blob/main/hclwrite/public.go

Hi, from what I read from HCL Github "HCL is a syntax and API specifically designed for building structured configuration formats.".

When the desired state is relatively simple to define and the mechanism to reach that state is not that important, writing up a declaration of what is needed and letting something/someone else deal with it is the most logical abstraction. This would be like drafting up the architectural draft for your new restaurant and paying a contracting company to actually build it, or writing HTML and letting a web browser render it, or writing a Terraform HCL file and letting the Terraform CLI tool apply it. This is called declarative programming in the software world, and has many advantages (and a few disadvantages!) for cloud infrastructure management.