Utah DevOps and MLOps consulting

DevOps services for reliable delivery systems.

We help teams automate CI/CD, modernize cloud infrastructure, operate ML workflows, and use hosted Apple Silicon for iOS build pipelines.

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CI/CD Automation Cloud Infrastructure MLOps Pipelines Hosted Apple Silicon Monitoring and Reliability Cost Optimization

About P6K Solutions

We remove the operational friction that slows software teams down.

P6K designs and implements delivery systems, cloud foundations, production safeguards, and productized macOS hosting for Apple CI/CD.

Based in Utah, we work with teams that need practical DevOps and MLOps improvements without bloated consulting overhead.

Computer desk with coffee mug
Hosted macOS build capacityReduce runner maintenance, queue delays, and fragile Apple build infrastructure.
Automated release pipelinesReduce handoffs, failed deploys, and manual checks.
Reliable cloud infrastructureBuild environments your team can reproduce and operate.

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.

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"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

DevOps services for teams that need to ship, scale, and stabilize.

01

Automate Delivery

DevOps systems that make releases faster, safer, and easier to repeat.

Strategy and Roadmap

Assess workflows, identify bottlenecks, and define practical implementation steps.

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.

Team

Senior technical builders, directly involved.

Dax Thompson headshot

Dax Thompson

DevOps Engineer

DevOpsAWSCI/CD
LinkedIn
Casey Chamberlain headshot

Casey Chamberlain

Software Engineer

Software EngineeringCloud SystemsAutomation
LinkedIn

Start the conversation

Let's talk through the next bottleneck.

Whether you need DevOps support, cloud infrastructure, MLOps workflows, or hosted Apple Silicon for iOS builds, we can help map the next practical step.

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