Scale analytics with Posit.
Standardize R and Python. Cut tool sprawl. Build trust.
Let’s get startedWhy Posit
Posit puts RStudio IDE, JupyterLab, and VS Code on one platform. Teams build in Workbench, publish to Connect, and control packages with Package Manager. One stack reduces noise, improves control, and speeds delivery.
What this means day to day
- Fewer tools to manage: IDEs and notebooks live under Workbench. No side servers.
- Repeatable results: Snapshots lock package versions. A rebuild next month matches today.
- Straight data access: Use drivers for Snowflake, SQL Server, Oracle, Postgres. No home-grown workarounds.
- Governed publish: Push Shiny, Dash, Quarto, and APIs to Connect with roles, schedules, and logs.
Posit & Process
We start with process. We map the path from idea to result, then fit Posit to it. Each step has an owner, inputs, outputs, and controls.
Value stream
- Intake → define the use case and data sources
- Design → set inputs, outputs, and owners
- Build → use Workbench projects and templates
- Publish → app, report, or API in Connect
- Operate → logs, alerts, backups, and patch windows
Controls
- SSO and groups (SAML/OIDC, LDAP/AD)
- Package snapshots with allow/deny lists
- Dev/test/prod folders and sign-offs
- Runbooks for jobs, alerts, and recovery
Outcomes
- Clear owners and clean handoffs
- Rebuilds match the same results
- Less spreadsheet work
- Faster “build → publish” loop
Our Services
Deploy
- Install Workbench, Connect, and Package Manager
- Set TLS, backups, SSO, groups, and folders
- Choose Kubernetes or VMs and set CPU/RAM limits
- Provide base images for R and Python
Integrate
- Wire drivers for Snowflake, SQL Server, Oracle, Postgres
- Mirror CRAN, Bioconductor, and PyPI with snapshots
- Send logs to your SIEM and set job alerts
- Define the path from dev to test to prod
Manage
- Patch Posit, R, Python, and base images
- Maintain snapshot policy and approvals
- Track run health and tune capacity under SLAs
- Share templates, examples, and office hours
Case Study: Energy Market Risk
The client trades energy. The team needed price curves and forward strips from trusted sources and a clean way to share results. We stood up Posit on AWS ECS with OKTA SSO, TLS, backups, and CloudWatch. Analysts pulled data from MarketView, DTN ProphetX, Bloomberg B-Pipe, and Argus. They published apps, reports, and APIs in Connect under clear roles and logs.
- Workbench for secure R/Python projects
- Connect for governed publish and schedules
- Package Manager for snapshots and approvals