Case Study
Data Science
Cloud & DevOps
UI/UX & Digital Experience

DevOps Architecture & Implementation for PR Data Science Startup

About This Project

The client wanted to effectively improve the functionality and usability of their SalesTech Platform. They wanted to better manage their cloud infrastructure and automate provisioning and routine tasks such as backup, upgrades, and cluster management. Velotio helped them to automate the entire process of infrastructure provisioning, configuration management, and deployment for their development needs. This allowed them to increase their resource productivity and helped them save time in terms of setting up the infrastructure.


Cloud & DevOps
UI/UX & Digital Experience


About the Client

The client is a Silicon Valley based SalesTech startup. Sales people on the platform can guide buyers through each touch point in the sales process with specialized content, delivered in a uniquely engaging manner.

Understanding the Challenge

The client has a large AWS cloud infrastructure setup of over 1000 servers, including an ElasticSearch cluster of over 100 nodes. This was not effectively managed, nor was there automated provisioning and management of the infrastructure. Effective management of the cloud infrastructure and automation for provisioning and routine tasks such as backup, upgrades, and cluster management were desired.

“Velotio was great to work with. They took a very structured approach to our problem to come up with a solution that is scalable and has shown results from day one. Working with them is very helpful because they’re available, even with the time zone difference. They augment our cloud engineering and DevOps teams and provide support in a way that cannot be understated.”

VP Engineering, PR Data Science Startup

How We Made It Happen

Velotio started off by analyzing the current AWS infrastructure and improving its efficiency as well as optimizing expenditure. We also re-architected some parts of the platform for greater efficiency. DevOps tools were used to automate the provisioning, configuration management, and deployment of the AWS infrastructure.

The solution was split into multiple areas, each solving a specific issue and all of them totally adding up to an optimized infrastructure and automation in terms of provisioning, configuration management, and deployment on the cloud infrastructure.

  • Spot Fleet Instances:  We set up the ElasticsearchPercolates cluster to use Spot Fleet Instances instead of regular instances.
  • Right-sizing Instances:  We ran various performance tests to choose the cheapest instances with optimal performance.
  • Re-architecture: Converted various parts of the platform code to run Lambdas and Step Functions.
  • Monitoring: Constant cost monitoring with alerts tracking cost budgets, excessive use during non-peak hours usage, etc.
  • DevOps Automation: AWSOpsworks(Chef) for Configuration Management, Terraform for Infrastructure Orchestration, SemaphoreCI for build & deployment automation

How Velotio Made a Difference

Enabled the client to automate their infrastructure provisioning and management process.

Significantly reduced resource efforts and time spent on infrastructure setup.

Streamlined the cloud infrastructure cost with effective infrastructure functioning.

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