Cloud Native Services
Our Cloud Native Services
Complere Infosystem provides the opportunities it presents—enhanced decision-making capabilities, improved customer experiences, and the ability to innovate more rapidly—make it a worthwhile endeavor for any data-driven organization.
We have over 200 data experts onboard and over 30 data projects in our portfolio.
Infrastructure-as-a-Service (IaaS):
Our company provides IaaS solutions, allowing organizations to transition away from physical hardware. With IaaS, you can rent virtual machines (VMs) or servers from our cloud provider. This service establishes the foundational infrastructure necessary for hosting applications, managing storage, and facilitating networking resources.
Platform-as-a-Service (PaaS):
Our PaaS offerings elevate abstraction beyond IaaS. Developers can focus on application development and deployment without the burden of managing underlying infrastructure. Our PaaS platforms include essential tools for application development, databases, middleware, and runtime environments.
Microservices Architecture
We specialize in building cloud-native applications using a microservices architecture. These applications consist of multiple small, interdependent services that collaborate seamlessly to deliver functionality. Each microservice can be independently developed, deployed, and scaled, enhancing agility and flexibility.
Containerization with Kubernetes and Docker
Our expertise lies in containerization. Containers ensure consistent deployment across diverse environments. We leverage Kubernetes—an open-source container orchestration platform—to manage containerized applications at scale. Additionally, Docker simplifies the creation, distribution, and execution of containers.
Serverless Computing and Event-Driven Architectures
Our company embraces serverless computing. Serverless functions (such as AWS Lambda or Azure Functions) empower developers to execute code without provisioning or managing servers explicitly. Furthermore, our event-driven architectures automatically scale based on events (e.g., HTTP requests, database changes), optimizing responsiveness and cost-effectiveness
Functional Testing
How can you benefit from Cloud Native Services?
Increase Efficiency
- Cloud-native development embraces DevOps and continuous delivery (CD). Developers utilize automated tools, cloud services, and modern design culture to rapidly build scalable applications.
Cost Reduction
- Companies pay only for the resources they use, eliminating the need for large upfront investments in hardware and infrastructure
Ensure High Availability
- Cloud-native technology enables the creation of highly available applications. Feature updates do not cause downtime, and companies can scale resources during peak seasons to enhance customer experience.
Scalability and Flexibility
- loud-native apps can scale horizontally by adding more instances of microservices. This elasticity handles sudden traffic spikes without manual intervention.
How it Works
01. Microservices Architecture
- Composability: Cloud-native applications are built using a microservices architecture. Unlike monolithic applications, which are large and tightly coupled, microservices break down an application into smaller, loosely coupled services. Each service focuses on a specific task and communicates with others via APIs
- Independent Scaling: Microservices allow independent scaling. You can allocate resources specifically to the services that need them, optimizing efficiency and responsiveness.
03. Containerization
- Portability: Containers (e.g., Docker) play a crucial role in cloud-native services. They encapsulate an application and its dependencies, making it portable across different environments. Containers allow consistent deployment, scaling, and isolation, promoting efficient resource utilization.
- Resource Efficiency: Containers share the host OS kernel, minimizing overhead and maximizing resource utilization.
02. Continuous Integration and Continuous Delivery (CI/CD):
- Agile Practices: Cloud-native services embrace CI/CD practices. Developers continuously integrate code changes into a shared repository, automatically build and test them, and then deploy to production.
- Automated Deployment: CI/CD automates deployment, ensuring that updates reach users swiftly without manual intervention.
04. Declarative APIs and Infrastructure as Code (IaC):
- Infrastructure Management: Cloud-native services rely on declarative APIs for managing infrastructure. Infrastructure as Code (IaC) tools (e.g., Terraform, AWS CloudFormation) enable developers to define infrastructure configurations in code. This approach ensures consistency, version control, and reproducibility.
- Immutable Infrastructure: IaC treats infrastructure as code, allowing you to create, update, and manage resources consistently, reducing configuration drift.
01. Strategy
- Clarification of the stakeholders’ vision and objectives
- Reviewing the environment and existing systems
- Measuring current capability and scalability
- Creating a risk management framework.
02. Discovery phase
- Defining client’s business needs
- Analysis of existing reports and ML models
- Review and documentation of existing data sources, and existing data connectors
- Estimation of the budget for the project and team composition.
- Data quality analysis
- Detailed analysis of metrics
- Logical design of data warehouse
- Logical design of ETL architecture
- Proposing several solutions with different tech stacks
- Building a prototype.
03. Development
- Physical design of databases and schemas
- Integration of data sources
- Development of ETL routines
- Data profiling
- Loading historical data into data warehouse
- Implementing data quality checks
- Data automation tuning
- Achieving DWH stability.
04. Ongoing support
- Fixing issues within the SLA
- Lowering storage and processing costs
- Small enhancement
- Supervision of systems
- Ongoing cost optimization
- Product support and fault elimination.
