VivaOps provides an integrated platform that combines GitLab‑based DevSecOps pipelines, AWS‑native data and AI services, and GitOps infrastructure automation for enterprise software delivery. The solution delivers secure CI/CD with built‑in SAST/DAST, managed data lakes, SageMaker MLOps, Bedrock generative AI, and unified observability via Grafana, Prometheus and OpenTelemetry, while offering managed support and FinOps optimization.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often operate fragmented software delivery stacks where DevSecOps tooling, cloud infrastructure, and data‑AI pipelines are siloed, leading to slow releases, security gaps, and limited observability across environments.
Solution
VivaOps consolidates platform engineering, DevSecOps, and data‑AI capabilities into a unified service offering. By leveraging deep GitLab expertise, the firm designs and implements secure, automated CI/CD pipelines that embed shift‑left testing, SAST/DAST scanning, and GitOps workflows. Its AWS‑native data and AI practice builds governed data lakes, scalable SageMaker MLOps, and Bedrock‑based generative AI solutions, all integrated with IaC tools such as Terraform and CloudFormation. Observability is delivered through Grafana, Prometheus, and OpenTelemetry, providing unified metrics, logs, and traces for developers, SREs, and operations teams. Managed services, enablement training, and continuous performance monitoring ensure the platform remains reliable, cost‑effective, and aligned with business objectives.
Target Audience
The primary customers are large enterprises and mid‑market organizations that need secure, high‑velocity software delivery, cloud‑native platform reliability, and scalable data‑AI capabilities—specifically DevOps/SRE teams, data engineering groups, and AI product owners.
Features
- End‑to‑end GitLab CI/CD pipelines with built‑in Advanced Security (SAST, DAST, secret detection) and AI‑assisted code review via GitLab Duo and Amazon Q.
- GitOps implementation using Terraform/CloudFormation for immutable infrastructure provisioning across multi‑cloud and Kubernetes (EKS, ECS, Fargate) environments.
- AWS data‑engineering stack: S3, Lake Formation, Glue, Redshift, Kinesis, and EMR for secure, scalable data lakes and real‑time streaming.
- MLOps platform built on SageMaker Studio, Pipelines, Model Registry, and Model Monitor for automated model training, deployment, and governance.
- Generative AI services powered by Amazon Bedrock and custom agentic AI workflows, with fine‑tuning and RAG capabilities for enterprise use cases.
- Full‑stack observability suite using Grafana, Prometheus, OpenTelemetry, CloudWatch, and X‑Ray, delivering customizable dashboards and alerting.
- FinOps optimization via AWS Cost Explorer, Compute Optimizer, and AI‑driven forecasting to reduce cloud spend while maintaining performance.
- Managed support and enablement programs, including 24/7 monitoring, incident response, and hands‑on training for DevSecOps, platform, and data teams.