Solution Architecture and Cloud Engineering

Conduct thorough analysis and address technical concerns and incidents associated with AWS services and infrastructure, offering expertise and assistance stakeholders, advising on AWS best practices and recommending suitable solutions.

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Infrastructure Design and Deployment

Engage in collaboration with stakeholders to gain a comprehensive understanding of their requirements and work together to design AWS infrastructure solutions that are scalable, resilient, and fault-tolerant

Security and Compliance

Implement security best practices and ensure compliance with industry standards and regulations. Design and configure secure network architectures, including VPCs, subnets, security groups, and access control lists and policies. Set up and manage identity and access management (IAM) roles and policies. Implement encryption and key management solutions for data protection using relevant AWS services such as KMS and ACM

System Integration and Data Migration

Integrate various systems and components within the AWS environment. Planning and executing application migration strategies to migration applications from on-premises to AWS environments, including data transfer and synchronization

Application and System Architecture

Design and architect cloud-native applications and systems on AWS. Define system components, interactions, and interfaces. Ensure the security, scalability,
and performance of the applications or systems. Select appropriate AWS services and components to support the application or system requirements

AWS Governance and Multi-Account Management

Implement AWS governance frameworks and best practices for managing multiple AWS accounts. Design and configure AWS Control Tower to set up guardrails and enforce compliance policies across multiple accounts. Define and enforce account structure, organizational policies, and resource constraints. Ensure proper access controls, account provisioning, and user management across the AWS environment using relevant AWS services such as IAM and IAM Identify Centre (or by integrating with third party Identity providers to implement Single sign-on)

Automation and DevOps

Develop and maintain CI/CD pipelines for automated deployment and testing integrating with many relevant AWS and third-party services such as CodeCommit, CodeDeploy, CodePipeline, Github, Gitlab, CircleCI, and TravisCI. Implement infrastructure automation using infrastructure-as-code tools

Backend Systems Development

Professional backend systems development services providing robust, secure, and highly scalable solutions that empower your business operations. Designing and implementing custom solutions that serve as the backbone of operational systems with the aim to create reliable, scalable, and high-performing architectures that fulfill unique business requirements and set the stage for organizational growth

Utilize programming languages to design, develop, and maintain backend applications. Specifically, focus on building robust and secure web APIs using Go, while ensuring compliance with requirements and following industry best practices.

Application Development

Integrate Go applications with various databases like MySQL, PostgreSQL, or MongoDB to facilitate efficient storage and retrieval of data. Leverage Go’s database libraries and ORMs (Object-Relational Mappers) to establish seamless interaction with the databases. Additionally, optimize database queries and transactions within the Go applications to enhance performance and efficiency.

Database Integration

Identify and address performance bottlenecks in Go applications by employing profiling and optimization techniques. Debug and troubleshoot any issues related to performance, memory management, or concurrency within the application. Leverage Go’s built-in profiling tools and performance monitoring capabilities to identify areas that require improvement. By using these tools, you can effectively analyze the application’s performance and make necessary optimizations to enhance its efficiency

Performance Optimization and Troubleshooting

Data Warehouse Design

All businesses receive data from various sources and must transfer it to a data warehouse for appropriate storage or utilization within the organization. Nowadays, data warehouses are transitioning from on-premises solutions to cloud-based platforms. This shift presents distinct challenges that differ from the familiar obstacles faced by on-premises counterparts

When contemplating the transition of your data warehouse from on-premises to the cloud, or from one cloud platform to another, there are numerous factors to consider. It is essential to recognize the distinctions between an on-premises data warehouse and a cloud-based data warehouse. We offer valuable insights into the benefits of an AWS cloud data warehouse, including cost efficiency, faster time to value, and enhanced capabilities for real-time analytics across the entire organization.

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