Configuration platforms are extensible, general-purpose tools that can be molded to any use case. Platform teams adopt Resourcely and immediately customize it to their needs, from scaling self-service infrastructure deployment to specific uses such as FinOps, security, IAM, networking, and more.
Working with our customers across industries, we have consolidated our seven most popular infrastructure use cases where a configuration platform is most helpful.
- Cost optimization to reduce spend
- Sane IAM roles and policies, preventing unauthorized access
- Creating AI environments with controls in place
- Deletion prevention so you aren’t bringing down production accidentally
- Data encryption, keeping your data safe
- Spinning up new accounts with proper permissions and scoping on AWS
- Create an analytics environment for easy data science and analytical setup
- Infrastructure for hosting a static webpage
Through the end of the year, we will be debuting a guide to each of these use cases. This will include documentation, video and written tutorials, and click-through demos that can show your team how to go from 0 to 1 within that specific use case.
We’ll also be making pre-built Blueprints and Guardrails that power these use cases available on Resourcely’s Individual tier. This means you can implement these use cases, for free, on your own by signing up for Resourcely’s Individual tier at no charge.
Today, we’re starting with cost optimization:
Summary of each use case
Here’s a summary of what to look forward to throughout the rest of the year. We’ll aim to roll one of these out every 1-2 weeks. If you have any other use case requests, don’t hesitate to reach out.
- Cost Optimization (here): Resourcely Blueprints and Guardrails enable FinOps and Cloud Economics teams to save money and control spend with Guardrails. For example, restrict the use of costly EC2 instance sizes in non-production environments and control unnecessary logging and monitoring on RDS instances.
- Sane IAM Roles and Policies: Establish standardized patterns for IAM role and policy creation, put human-readable options in place, and enforce Guardrails such as requiring admin permissions to go through an approval process in Git.
- Creating AI Environments with Controls in Place: Provide standardized deployment templates for tools like Bedrock and put in place rules that govern foundational models, giving teams secure-by-default ways to safely use AI.
- Deletion Prevention: With Resourcely Guardrails, critical resources are safeguarded against accidental or malicious deletion that can cause platform stability.
- Data Encryption: Meet your company’s standards by making sensitive data encrypted at rest and in transit by default, and automatically add encryption standards when they are missing, for blob storage and managed databases.
- Spinning Up New Accounts with Proper Permissions and Scoping on AWS: Provision new AWS accounts with predefined permissions and scoped resources, ensuring adherence to organizational policies and security best practices from the outset.
- Creating Analytics Environments: Give data science and analytics teams an easy on-ramp to creating dedicated analytics environments while meeting data privacy, cost, and access requirements.
- Infrastructure for Hosting a Static Webpage: Make spinning up a static webpage easy with all of the required infrastructure, while integrating networking and security best practices.
As always, you can try Resourcely at https://portal.resourcely.io, or get started with any of these use cases by reaching out to us.
