consul-template VS ring

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.

Terraform is an open-source infrastructure as a code tool. It is designed by HashiCorp and written in Go Programming Language. Terraform is used to automate the creation of DevOps infrastructure and tasks. Terraform provisions and configures your DevOps infrastructure. It spins up new servers, creates load balancers, and node groups, and performs network configurations. Terraform is mostly applied to provision resources on cloud providers like AWS, Google Cloud, and Microsoft Azure. It can automate and provision infrastructure on any cloud platform. We will use Terraform to set up an Azure Kubernetes Service Cluster that has all the necessary cloud resources.

It can be time-consuming to create and manage the infrastructure that drives your software applications as they grow and become larger. Also, what about ongoing updates and releases of new features? Luckily, there is a solution to this problem in the form of a tool designed by Hashicorp called Terraform. This allows us to define our infrastructure in a central configuration file without having to create it on every provider platform we use.

HashiCorp Sentinel: Sentinel is a PAC tool developed by HashiCorp that can be used in tools such as Terraform, Vault, and Nomad. Sentinel supports writing rules in programming languages such as HCL to automate the enforcement of security and compliance policies.

Terraform is an infrastructure as code tool (IAC) created by HashiCorp that lets you automate cloud and on-prem resources. It uses configuration files written in HashiCorp Configuration Language (HCL) to declare resources (infrastructure objects) and define dependencies between them. To put it simply, this tool allows you to write a few configuration files and build a whole system’s architecture on the cloud by running a couple of commands. I found this to be a more efficient alternative to clicking through a console to create resources manually.

It was clear back in 2021 that Lob needed to consolidate how we run code and none of our current tools were up to the task; it wasn’t a matter of if Lob would upgrade to something new, but when. The Platform team kicked off a research project to find Lob’s next service platform. Forever ago (back in 2019) we investigated migrating to Kubernetes, a popular but notoriously difficult-to-manage tool for this sort of thing, but that project fizzled out for many reasons, forcing us to consider something else. We chose Nomad which offers a comparable feature set to Kubernetes in a much more streamlined package. Nomad is developed by HashiCorp, a leader in the DevOps space, and is used by companies like Pandora, Cloudflare, Internet Archive, and Roblox.

If however, you have an application service that needs support for 2+ ports, because you know, Kubernetes supports this, I would recommend avoiding Consul Connect, as it is not functional to meet minimum requirements for a service mesh. Perhaps someday, when Hashicorp prioritizes basic functionality and usability in future version, this product can be considered.

Looks a lot like Hashicorp (a technology company), maybe too similar, and not particularly evocative IMO.

AWS VPC is a simple example. This feature really shines when building reusable infrastructure-as-code for Network Firewall or even Network ACLs. Anything that simplifies something and reduces or eliminates any hacks required to reach a logical outcome is super valuable. Great work finally driving this one home HashiCorp.

Again, this is just a temporary situation, and a matter of burning down a list of small tasks. Not that the OpenSSL license issue is a big deal for most anyway. Feel free to help; see this issue filed by Josh Triplett: https://github.com/briansmith/ring/issues/1318#issuecomment-...

Note also that rustls depends on ring, which has architecture-dependent code in it that is not as widely compatible as eg. OpenSSL/GnuTLS/Mbed-TLS. For example, MIPS is not supported by ring.

The AWS Rust library we were using as a dependency depended on a cryptography library called ring. This library leverages C and assembly code to implement its cryptographic primitives. Unfortunately, cross compiling when C is involved can add complexity to the build process. While it might've been possible to overcome these issues I decided that it wasn't worth digging into more.

That'd be great. Thanks Brian. Re: making ring portable to all platforms: IBM have been graciously maintaining a up to date patchset for Ring for years now and there's an outstanding PR here you may not have seen since they filed it in 2020... https://github.com/briansmith/ring/pull/1057

Beyond the simple matter of Rust being much newer than OpenSSL, one concern for some cryptographic primitives is the timing side-channel.

https://en.wikipedia.org/wiki/Timing_attack

In high level languages like Rust, the compiler does not prioritise trying to emit machine code which executes in constant time for all inputs. OpenSSL has implementations for some primitives which are known to be constant time, which can be important.

One option if you're working with Rust anyway would be use something like Ring:

https://github.com/briansmith/ring

Ring's primitives are just taken from BoringSSL which is Google's fork of OpenSSL, they're a mix of C and assembly language, it's possible (though fraught) to write some constant time algorithms in C if you know which compiler will be used, and of course it's possible (if you read the performance manuals carefully) to write constant time assembly in many cases.

In the C / assembly language code of course you do not have any safety benefits.

It can certainly make sense to do this very tricky primitive stuff in dangerous C or assembly, but then write all the higher level stuff in Rust, and that's the sort of thing Ring is intended for. BoringSSL for example includes code to do X.509 parsing and signature validation in C, but those things aren't sensitive, a timing attack on my X.509 parsing tells you nothing of value, and it's complicated to do correctly so Rust could make sense.

machine learning, neural networks, image processing, cryptography (though it is getting better), font shaping/rendering (though it is getting better), CPU/software rendering (though it is getting better)