cloudgraphdev/cliThe universal GraphQL API and CSPM tool for AWS, Azure, GCP, K8s, and tencent.
CloudGraph is the free open-source universal GraphQL API and Cloud Security Posture Management (CSPM) tool for AWS, Azure, GCP, and K8s. With CloudGraph you get:
Cloud Graph lets you Know your cloud in 5 minutes. Built and maintained with love by the team at ❤️ AutoCloud ❤️
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AWS, Azure, and GPC have done a wonderful job of building solutions that let engineers like us create systems to power our increasingly interconnected world. Over the last 15 years, products such as EC2, S3, RDS, and Lambda have fundamentally changed how we think about computing, storage, and databasing.
With the proliferation of Kubernetes and Serverless in the last 5 or so years, cloud services have become increasingly abstract on top of racks of physical servers. To end-users, everything on the cloud is just an API, so we don't necessarily need to know how Lambda Functions or EKS work under the hood to be able to use them for building applications. With a little documentation, API or console access, and a tutorial anyone can pretty much create anything they need.
These abstractions have led to massive improvements in the overall convenience and breadth of CSP service offerings. What was once a painstaking, time-consuming, and error-prone process of provisioning new servers, databases, or filesystems can now be done in seconds with just the click of a button or deployment of IAC. Since everything is just an API abstraction, when a CAP is ready to introduce a new "product" they simply need to expose a new API - yes, I'm of course simplifying slightly :)
Anyone familiar with the CSPs knows that service APIs are almost always split into modular namespaces that contain dozens, if not hundreds, of separate API methods for single resources. For example, the AWS EC2 service contains over 500 different API methods, with new ones added occasionally. Any company building substantial systems on a CSP is likely using many, many different services.
While a masterpiece of datacenter architecture, this choice of hundreds of services and configuration options put the burden of knowledge on how to properly use these services squarely on us engineers. As a result, we find ourselves having to constantly stay up to date and learn about all the service offerings or new changes. This takes a significant amount of time and mental energy. As developers, it can be difficult, time-consuming, and frustrating to use the AWS CLI to make 5 different API calls to describe, as an example, an AWS ECS cluster, its services, task definitions, tasks, container definitions, etc. We often find ourselves lost in documentation and having to use half a dozen of APIs to get answers to questions like "What exactly is running in this VPC?"
This means that AWS, Azure, and GCP can feel overwhelming quickly even to seasoned cloud architects. While the CSPs are fantastic at building the actual services that power our businesses, not a lot of headway has been into simplifying the day-to-day UX of querying these hundreds of services in a sane manner.
New solutions like the Cloud Control API for AWS have attempted to create a standardized interface for querying many different types of AWS resources. Unfortunately, the Cloud Control API's usage is severely limited, and users still need to know how to correctly query their data. This means more time spent reading documentation and understanding how services work and are related to one another.
While the modularity of the CSP APIs is a great logical organization system and does make sense, it's a burden on end-users in terms of the cognitive overhead and learning curve. Having to remember how hundreds of constantly changing services work and are connected leads to a caffeine addiction and time wasted playing detective.
Wouldn't it be great if we as DevOps/Cloud engineers had a simpler way to get our data out of AWS, Azure, GCP and the others? One that reflected our need to easily query any data about any service in any account without having to spend hours on docs or stack overflow?
