Lambert Labs

Lambert Labs is a cloud consulting and services firm that operates as an AWS partner and authorised reseller. The organisation provides professional services focused on cloud migrations, cloud-native application development and ongoing cloud operations. The legal trading name presented is Lambert Labs.

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Services and Capabilities

• AWS cloud migrations: planning and executing workload migrations to Amazon Web Services environments, including migration of applications and infrastructure.
• Cloud modernization and platform builds: designing and implementing cloud-native architectures, platform builds on AWS and refactoring applications to use managed AWS services.
• DevOps and infrastructure-as-code: delivery of automated build and deployment pipelines, configuration management and IaC using AWS tooling and CloudFormation.
• Cost optimisation and cloud operations: analysis of cloud spend, cost-reduction measures and ongoing operational support for AWS accounts.
• Application development and data engineering: development of web applications, APIs and data engineering using Python and Django.
• Generative AI solutions on AWS: design and implementation of AI/ML solutions leveraging AWS GenAI capabilities where required.

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Industry Focus

• Retail and e-commerce: building and scaling retail platforms and content delivery on AWS.
• Financial services: running performant, secure and compliant workloads with resilience at scale.
• Healthcare and health tech: implementation of cloud solutions for health technology providers.
• Software-as-a-Service (SaaS) providers: modernising and scaling multi-tenant applications on AWS.
• Nonprofit and education: supporting charities, research institutions and educational organisations with cloud adoption and optimisation.
• Media, entertainment, travel and hospitality: content production, distribution and scalable workloads for customer-facing services.

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Technology and Delivery Approach

• Repeated use of AWS-managed services and service delivery validations (examples listed include ECS, CloudFront, RDS, CloudFormation and AWS Config) for platform implementations.
• Emphasis on infrastructure-as-code, automated CI/CD pipelines and DevOps practices to deploy and maintain environments.
• Capabilities in containerisation and orchestration via Amazon ECS and related services.
• Application development using Python and Django for web, API and data engineering work.
• Adoption of AWS Well-Architected reviews and formal competencies (DevOps, Nonprofit, Generative AI and others) to align delivery with AWS program validations and service delivery designations.