DataOps & MLOps Professional Services

In today’s data-driven landscape, organizations require robust and agile data and machine learning pipelines to extract maximum value from their data assets. GOStack’s DataOps & MLOps Professional Services provide comprehensive solutions to streamline your data engineering and machine learning lifecycle, ensuring reproducibility, scalability, and governance across your AWS environment.

Our approach integrates modern engineering practices like GitOps, CI/CD, and Infrastructure as Code (IaC) directly into your data and ML workflows. We help you automate data ingestion, transformation, and quality enforcement, creating repeatable and testable data pipelines. For machine learning, we orchestrate the full model lifecycle, from training and validation to secure deployment and continuous monitoring, ensuring models perform optimally in production.

GOStack’s expertise spans various platforms, from Airflow to Argo, and SageMaker to Vertex AI, allowing us to leverage the best tools that fit your existing stack. We prioritize observability and performance tracking from day one, building transparency across your data pipelines and model outcomes with full lineage, logging, and alerts. Our solutions are engineered for reproducibility, treating ML and data as first-class citizens, and supporting human-in-the-loop optionality for iterative learning and model oversight.

Key Service Areas:

• Data Engineering Automation: Automate ingestion, transformation, and data quality enforcement with resilient, testable workflows, including data versioning and lineage.
• ML Lifecycle Orchestration: Orchestrate the full model lifecycle, from training and validation to deployment and monitoring, with model versioning, CI/CD, real-time monitoring, and feature store integration.
• Observability & Governance: Implement comprehensive logging, monitoring, and alerting to ensure transparency, track performance, and maintain governance across your data and ML assets.
• GitOps & CI/CD for Data: Apply modern engineering practices to data workflows, enabling Git-based change control, Infrastructure as Code for pipelines, and automated testing and validation.

Partner with GOStack to transform your DataOps and MLOps capabilities, accelerate innovation, and achieve operational excellence on AWS.

Associated AWS Services:

• Amazon S3
• AWS Glue
• Amazon Redshift
• Amazon SageMaker
• Amazon EMR
• AWS Lambda
• AWS Step Functions
• AWS CodePipeline
• AWS CodeBuild
• AWS CloudFormation
• Amazon Kinesis
• AWS IAM
• AWS Secrets Manager
• AWS Key Management Service (KMS)