Amazon Web Services

Our client offers global booking service for private jet charter and aircraft hire. Their multilingual website allows users to find and book trips with air charter companies. Users can select a jet at the most competitive market price comparing quotes in real time. Website performance and reliability are critical to their business.

We migrated the website from a dedicated hosting vendor to AWS. The setup uses a scalable EC2 large instance with JBoss + LAMP configuration and Elastic Block Store for redundant storage. The migration, which was completed in a month, resulted in high availability and faster performance.

Our client’s product enables companies to easily integrate OTs, such as sensors and tags, into ERP platforms and data warehouses. We designed a system on the Amazon EC2 environment, where horizontal deployment could be achieved with scalability and resilience.

The real-time data processing system was set up with Lambda architecture. We used AWS CloudFormation and Ansible to model and launch the servers. Embedded CloudFormation stacks were used to model the infrastructure in layers and quickly deploy stacks to any one of the AWS data centers around the world. Application and server infrastructure monitoring using CloudWatch and Nagios completed the setup.

Our client’s mobile platform enables smartphones and smart devices to autonomously identify conditions and hazards in the immediate surroundings. This technology is used in several industries to create heightened awareness for drivers.

Our DevOps team engineered a highly available and scalable infrastructure in AWS EC2. Custom auto-scaling strategies were implemented and AWS CodeDeploy integrated with Jenkins made deployments significantly faster. A centralized log management solution using ELK as well as CloudWatch was also set up. Other AWS services utilized were S3, RDS, and SES.

The client’s corporate website, architected by QBurst, is a complete end-to-end e-commerce solution developed on Amazon AWS infrastructure. The site’s architecture features a unified platform of technologies integrating various frameworks and services on the web.

An automatic failover architecture with a master-slave database was deployed to provide maximum availability. Elastic Load Balancing helps distribute excess load on different servers within the same region. To meet exponential spike in web traffic, the server was scaled up from large EC2 instance to Quadruple Extra Large High-Memory instance. Server backups are stored on Amazon EBS in another geographic location. Backup of transactions, periodic server snapshots, and critical e-commerce data are stored on Amazon Simple Storage Service (S3).

One of our clients using the AWS cloud needed to take daily snapshots and AMIs (Amazon Machine Images) of their infrastructure. We set up a simple, free solution to automatically back up their servers on a scheduled basis using a Lambda function written in Python.

We created a Lambda function to list all the servers with a particular tag (backup: true) from the client’s AWS account. For each server listed, the function would then trigger a snapshot OR AMI as needed. We used CloudWatch rules to have the Lambda function trigger on a predefined schedule.

Our client is a cloud-based recruitment solutions provider. Security is a major concern as they handle numerous accounts and leakage of information could result in significant damage to business and reputation. To meet the level of availability and security that was necessary, we migrated their application to the AWS cloud and set up cloud security, data encryption, and disaster management mechanism for the new infrastructure.

The cloud architecture was designed with Cloudflare Web Application Firewall. Access was restricted with AWS Virtual Private Cloud, EC2 Security Groups, and SSH key authentication. Fail2ban was configured to prevent brute-force attacks. Each Amazon Elastic Block Store volume was secured with EBS data encryption, providing encryption of data-in-transit from EC2 instances to EBS storage.

Our client is a retail giant with multiple brands and product lines. They are spread across the globe and have multiple applications catering to different localities. We built an automated service deployment infrastructure for their applications and API services.

Our team created a CI-CD pipeline to rebuild and redeploy containers in ECS based on code/configuration updates in the Git Repo. The pipeline checks for the latest PR merges on the service code and rebuilds and deploys the respective service, including Jenkins slave and other app services. This involves getting the latest code from repo, building images, pushing it to Elastic Container Registry, and redeploying the service in ECS using Terraform.

One of our clients runs an online booking platform for beauty services and beauticians. One of their first requirements was to be able to automatically set up copies of their solution in multiple data centers as they grew.

The client specified that they would be using only the AWS cloud environment. Hence, we created CloudFormation templates to set up the entire platform from scratch in any AWS Availability Zone. This included deploying the latest code to the servers when the same spun up. The end result was an automated server setup solution that allowed them to save days in infrastructure setup when they started migrating to other regions. It also doubled as a form of disaster recovery system for the client.