DataOps & MLOps Professional Services
GOStack · Intelligence & Research
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
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.
Show the rest of the publisher’s description (22 more lines)
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)
Highlights
Highlighted by the publisher on AWS Marketplace.
Accelerated Data & ML Pipelines: Deliver faster, smarter, and more reliable data and machine learning pipelines through automation and modern engineering practices.
End-to-End Lifecycle Orchestration: Comprehensive support for the entire data engineering and machine learning lifecycle, from raw data ingestion to live model deployment and monitoring.
Reproducibility & Governance: Implement versioned, testable, and auditable workflows with built-in observability, lineage, and governance for data and ML assets.
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

