TotalCloud vs Scripting




Resource Coverage

One platform covers all AWS resources and use cases, whether it is scheduling, insights, auto-remediation, or custom actions

Again, scripts can be created for actions on all AWS resources, but it consumes time and effort, and the lack of speed


Every node is predefined, eliminating the need to code. All you need to do is combine the nodes to create a workflow. Once deployed, the workflow automates the use case, without any manual intervention.

The single biggest hiccup with scripting is the fact that it is manual


TotalCloud scales as your needs increase. Creating workflows takes minutes, and the platform allows you to create solutions to any evolving problems. Additionally, if your needs are repetitive, workflows can simply be cloned or duplicated.

One of the biggest drawbacks of scripts remains the fact that it can not be scaled quickly enough, especially when your needs are complex.

Use Case Complexity

TotalCloud’s range of use cases are limited only by your needs.

From basic scheduling, to complete auto-remediation (For eg, rebalancing an instance fleet across AZs), everything can be solved using simple workflows.

As the complexity of your use case increases, the scripting effort and time shoots up.

It’ll involve innumerable lines of code - consuming tons of DevOps effort.

Flexibility & Customization

Workflows - combine nodes to create any kind of workflow

Triggers - Trigger workflows based on time, alarms (SNS), events (CloudTrail) or anywhere (HTTP)

Data - pull in monitoring data from CloudWatch or any external source that you want to track

Custom filters and code - Use function filters and custom logic whenever required

Notification - link notification system it to Slack or SNS

Although scripting allows every element of customization and flexibility, it’s a tedious process.

If you have a 100 actions and need to customize every one of them, it becomes resource-intensive and complex.


Multiple integrations like Jira, Jenkins, Zendesk, Freshdesk, Telegram, etc - so our platform fits into your tech stack seamlessly

Creating integrations manually requires your DevOps engineers to learn a new set of APIs for the new tool and write repetitive code


TotalCloud can be used by multiple users, to provide a single, unified view of all workflows

Scripting for each workflow or use case makes it difficult to maintain consistency and standardization for DevOps teams.

Every additional script created adds to the chaos of not being able to track them when needed.

Human Error

Eliminate the possibility of human error by completely automating cloud management

Any errors made in code can negatively impact actions taken on your cloud

DevOps’ Time and Opportunity Cost

With TotalCloud, DevOps’ time is freed to be spent on the customer

DevOps time concentrated in doing repetitive tasks results in the opportunity cost of lack of attention to your customers and more value-driven innovative activities