Strategy and Roadmap
Assess workflows, identify bottlenecks, and define practical implementation steps.
Utah DevOps and MLOps consulting
DevOps and MLOps systems built for reliable growth
We help teams automate delivery, modernize cloud infrastructure, and operate production ML with confidence.
commitvalidated
pipelineautomated
cloudobservable
modelmonitored
CI/CD Automation
Cloud Architecture
MLOps Pipelines
Monitoring and Reliability
Cost Optimization
About P6K Solutions
We remove the operational friction that slows software teams down.
P6K designs and implements the delivery systems, cloud foundations, and production safeguards that let teams ship with less manual work and fewer surprises.
Based in Utah, we work with teams that need practical DevOps and MLOps improvements without bloated consulting overhead.
Automated release pipelinesReduce handoffs, failed deploys, and manual checks.
Reliable cloud infrastructureBuild environments your team can reproduce and operate.
Monitoring that mattersCatch reliability and model issues before customers do.
Client result
Deploying microservices to AWS with confidence
Challenge
The client needed a maintainable AWS environment for new microservices, but service configuration gaps were creating blockers and failed deployments.
Approach
P6K reviewed the AWS setup, created repeatable configuration documentation, and worked directly with the internal team through hands-on mentoring.
Outcome
The team gained a validated AWS deployment process, stronger confidence in the platform, and reusable instructions for future services.
"P6K Solutions helped us get up and running with the new AWS services in a couple of weeks. We were just as comfortable with the AWS services after their help as we would have been had we spent months learning it ourselves."
Ryan Kimball, Engineering Manager
Services
Technical systems for teams that need to ship, scale, and stabilize.
01
Automate Delivery
DevOps systems that make releases faster, safer, and easier to repeat.
CI/CD Implementation
Design automated pipelines that improve release speed and reduce deployment errors.
Monitoring and Logging
Build visibility across applications, infrastructure, and production incidents.
02
Operationalize Machine Learning
MLOps support for repeatable model delivery and production-grade monitoring.
Data Engineering Support
Build and optimize pipelines that prepare reliable datasets for ML workflows.
Model Lifecycle Automation
Automate training, testing, deployment, and update workflows for production models.
ML Observability
Track performance, detect drift, and maintain reliable machine learning systems.
03
Modernize Cloud Infrastructure
Cloud foundations that are scalable, cost-aware, and maintainable by your team.
Cloud Architecture
Design secure, scalable architecture aligned with your product and business goals.
Migration and Modernization
Move applications and infrastructure into cloud patterns that support future growth.
Cost Optimization
Analyze usage, right-size resources, and reduce waste without sacrificing reliability.
How we work
Practical implementation, not slideware.
01
Assess
Review delivery process, infrastructure, reliability gaps, and team constraints.
02
Design
Create a roadmap that fits your systems, budget, and operating model.
03
Implement
Build pipelines, cloud automation, monitoring, and ML operations workflows.
04
Handoff
Document the system and enable your team to operate it confidently.
Start the conversation
Let's talk through the next bottleneck.
Whether you need macOS hosting, cloud infrastructure, CI/CD, or MLOps support, we can help map the next practical step.
macOS hosting
CI/CD automation
Cloud reliability
MLOps workflows
Get In Touch
Share a few details and we will follow up with next steps.