Sachith Info Solutions

Sachith Info

Cloud for agility and

Public cloud platforms have revolutionized the business landscape by offering flexibility and alleviating the need for substantial upfront capital expenditures, shifting to operational expenditure models.

Designing Software for the Cloud
Sachith Info Solutions firmly believes that software must be purposefully designed for cloud environments in order to fully capitalize on their advantages. Sachith Info Solutions takes a proactive approach by architecting platforms and products to harness the cost efficiencies offered by public clouds and strategically integrates technologies like Kubernetes into the tech stack from the outset. Scalability, often automated and without the burden of significant upfront capital expenditure and labor-intensive processes, is also a pivotal design consideration.

Cloud Migrations

Sachith Info Solutions has also developed a profound expertise in reengineering services for the cloud by migrating legacy applications. In 2022, Sachith Info Solutions successfully completed the migration of 72 legacy services for a US-based marketplace provider to AWS native stack, which includes ECS, Fargate, and CloudWatch for autoscaling and enhanced reliability.

Containerizing Applications

The adoption of cloud-native applications is a widely discussed topic, and migrating legacy applications can be costly. Sachith Info Solutions, as an alternative, has skillfully managed costs while preserving flexibility for its clients by avoiding vendor lock-ins and capitalizing on cloud benefits through containerization. Containerization simplifies deployment by packaging dependencies along with applications, optimizing infrastructure costs through virtual machine workload density and autoscaling.

Furthermore, containerization harnesses the elasticity of public cloud infrastructure to expand service capacities without manual intervention, thereby reducing turnaround times and operational management costs. Sachith Info Solutions empowered a European media client to implement autoscaling using containerization, resulting in a fourfold increase in the number of pods during peak hours compared to off-peak, leading to substantial cost savings as pods are spawned in line with traffic demands.