Driving operational excellence with AWS DevOps consulting
Nextillo is a leader in online medical education, offering a comprehensive learning app for aspiring medical students. For this project, they sought DevOps consultation to streamline operational processes, aiming to enhance productivity and achieve scalable growth.
Project summary
The project involved implementing AWS DevOps practices that automate the setup of infrastructure, streamline deployment processes, leverage efficient workflows, automate compliance tasks, and ensure the capability to scale effectively.
Project challenges
Nextillo's primary challenge was to automate and optimize infrastructure provisioning and deployment pipelines to reduce manual intervention, minimize errors, and accelerate deployment times. Additionally, they aimed to achieve scalable growth, ensuring their systems could handle increased demand and future expansion seamlessly. By addressing these challenges, Nextillo sought to create a more agile, responsive, and efficient operational environment to support its long-term objectives.
Our process
We followed a systematic approach to ensure that Nextillo achieved operational efficiency and laid a solid foundation for scalable growth through seamless integration, rigorous testing, and proactive monitoring.
Our solution
By integrating advanced AWS tools and implementing industry best practices, we equipped Nextillo to meet its current needs while also preparing it for future growth.
Utilizing AWS CloudFormation allowed us to define their infrastructure as code, automating the provisioning of resources such as EC2 instances, databases, and networking configurations in a repeatable and consistent manner.
Implementing AWS CodePipeline and CodeDeploy streamlined their workflows and automated the deployment of applications to Amazon EC2 instances, Lambda functions, or even on-premises servers, with built-in rollback mechanisms.
Leveraging AWS Auto Scaling and Elastic Load Balancing, we ensured that applications could dynamically adjust resources based on demand without manual intervention, maintaining responsiveness and cost-efficiency during fluctuating traffic volumes.
Setting up monitoring with AWS CloudWatch enabled proactive tracking of performance metrics and early detection of operational issues, offering real-time insights and customizable alerts for swift issue resolution before impacting users.
" I was impressed by Applify’s smart teammates who understood us and communicated well. "
Final result
The project yielded substantial outcomes including a 30% cost reduction through automation and reduced deployment times with CI/CD from weeks to hours.
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