Scalr Reviews

Scalr refers to several distinct technologies, with the most common modern use case involving API documentation and database function. Scalr is a modern alternative to Swagger UI used for creative interactive API references from OpenAPI Swagger documents. Interactive documentation automatically generates beautiful, searchable web pages from OpenAPI specs.

Scalr's best features are frequently used in .NET 9 and Node.js projects to replace Swagger interfaces with faster responsive UIs.

Scalr helps with API testing and client functionality, which includes a built-in Try It tool similar to Postman, allowing developers to test endpoints, manage environment variables, and see request history.

The faster response is due to the CI/CD workflow integrating with GitHub Actions and another tool to automatically update and version documentation as the codebase evolves.

Other features include data formatting, where I can convert strings to uppercase, trim white spaces, or concatenate first and last names into a full name field.

In scientific contexts, a scalar is a physical quantity described only by magnitude with no direction. In environmental aspects, monitoring and measuring temperature, pressure, or humidity, resource tracking, and calculating mass, volume, density, or time duration reflect the best impact on my organization.

One specific outcome I have noticed is scholarly publishing. Scalr is also an open-source platform for born-digital, media-rich publishing, allowing scholars to create interactive online books that integrate high-resolution media with sophisticated archival structures.

Scalr can be improved by logical simplification, wrapping complex logic into reusable functions to keep main queries readable. Data validation using functions like is null provides default values when data is missing, which is an area for improvement.

I have been using Scalr for the last three years.

Scalr is the most stable product in the market for designing APIs right now.

Regarding the mathematical engine, Scalr's scalability uses the modern open-source AI design documentation platform. It is easily scalable and free to use, and does not require a license key if I explore the tools natively by visiting the platform.

Scalr's customer support is very good. If I require queries answered, I can ask them, and they quickly provide solutions.

I was previously using Notepad. After Scalr came along, modern open-source API design documentation platform is free to use with no license key required. I can explore the tools natively by visiting the platform.

For commercial use, I need to contact Scalr to obtain a commercial license. Newcomers can easily switch to that and find it adaptable for all uses.

Regarding licensing, if I buy a licensing key, it is beneficial, but if I have a lesser standing, it is not as good. The licensing key is the best option, and the specific use of the license key requirement depends heavily on which Scalr product I am referring to.

Some relevant metrics include that if I am using the enterprise version of ScalrDL, Scalr DL, or ScalrDB, my use case requires a license key. I must create a .properties file, Ledger properties, and configure it by replacing it with the provided key along with the correct certificate file path. For commercial use, I need to contact the Scalr team to obtain a commercial license for the product.

After all the years of helping enterprises implement API strategies at SmartBear, I can confidently say Scalr is what the industry has been waiting for. The strict OpenAPI compliance, robust CLI/API registry, and seamless CI/CD integration solve the exact pain points I observe customers struggle with daily. This is the modern API platform developers deserve.

Scalr is deployed on-premises only because Scalr is a physical quantity fully described by magnitude value.

Regarding the mathematical engine and scripting language, the core features are generally free with pro licensing available through standard mobile app stores, allowing me to use Scalr for that.

Some additional thoughts include using the digital Scholar publishing platform. It is open source, so the educational community license does not require a commercial license key for app installation.

I have provided this review a rating of ten out of ten.

My main use case for Scalr is IaC, infrastructure maintenance, and automation. I primarily use it for S3 data lake storage and Glue ETL jobs.

A specific example of how I use Scalr for S3 data lake storage or Glue ETL jobs is when we need to create workflows or scalability with a governed approach. For example, when I need to increase S3 storage or work on Spark jobs for ETL jobs and scale them, Scalr comes into the picture for observability and Terraform platforms.

Scalr has positively impacted my organization by providing much less overhead for the creation of Terraform and other CLI workflows. It is much less time-consuming.

I do not have exact numbers, but we save approximately 10k a year with Scalr, and we do not need to worry about operational expenses on local providers for each person. We are able to integrate that into state executions.

The best features Scalr offers include centralized state execution and flexible GitOps to CLI workflows, which are its main strengths.

Centralized state execution helps my team by giving us more control over what happens on the execution agents. I use the GitOps CLI workflows in my daily work because they are easy to monitor, rather than giving access to all local providers.

Scalr could be improved because it is another delivery stack, and understanding Terraform is necessary to use it effectively. It also requires handling credentials, state, and permissions, and run-based pricing can accumulate in high-frequency CI workflows.

I have been using Scalr for about a year.

Scalr is pretty stable.

Scalr's scalability is affected by costs accumulating from continuous, high-frequency CI workflows. Apart from that, it is pretty good.

I did not previously use a different solution.

I see a return on investment with Scalr. There are good money savings and reduced overhead costs, so I would say it is definitely an improvement.

Before choosing Scalr, I did not evaluate other options.

On a scale of 1 to 10, I rate Scalr around six or seven.

I chose six or seven because the Terraform approach to state execution gives you much more CLI and GitOps workflow access. However, it is also another delivery stack, and the pricing accumulates for every CI workflow.

My advice to others looking into using Scalr is that I would not suggest it if you are looking into high-frequency CI workflows, but otherwise, it is pretty good.

It used to be the ability to autoscale based on load.

I was able to to deal with requests without needing every server on; I could turn them off.

Compatibility with SoftLayer I think was our block. Rackspace was fine, as far as I know.

I think I have been using it for a few months.

We didn’t have stability problems.

We didn’t have scalability problems.

I don't recall using technical support.

We did use AWS autoscaling but Rackspace left something to be desired.

Setup was fine. An initial setup was relatively easy. We had trouble migrating/importing though, so we had to create everything from scratch.

As it is GPL (as far as I know?) I would highly recommend it.

We found no other suitable looking, easy-to-use solutions. APIs were complex.

Install it on your own server, as we did. This helped us internalise
for privacy needs.