Platform Engineering

Design scalable, secure Google Cloud architectures built to support your data and AI work.

Why it matters

A weak infrastructure doesn't just slow things down. It creates technical debt, drains your engineering team, and makes everything harder to maintain. We build foundations that are stable, predictable, and ready to scale.

Deep Infrastructure & Cloud Expertise

Modern data and AI workloads need more than a basic cloud setup. We bring specialized architecture experience to make sure your system performs under real pressure.

Minimize Operational Overhead

We manage Infrastructure as Code and GitOps automation from the start: fewer manual errors, easier maintenance, full auditability.

Secure & Compliant by Design

Governance, cost controls, and enterprise-grade security built into the architecture. Not bolted on later.

Explore our solutions

Whether you're starting from scratch or modernizing what you have, we build platforms that are stable, automated, and ready to grow with your business.

Enterprise Google Cloud Environment

A production-ready Google Cloud setup built to Google's best practices. Solid project structure, proper networking, tight security, and ready to support your data and AI initiatives.

Infrastructure Modernization & Optimization

We fix what's broken and remove what's slowing you down, turning fragile, inconsistent infrastructure into something your team can actually rely on.

Accelerated Cloud Migration

Move your workloads from other cloud providers or on-premise systems to Google Cloud without disrupting what's running. We manage the risk so your team can focus on what comes next.

GitOps & Automated Platform Operations

Fully automated infrastructure management (continuous deployment pipelines, monitoring, and IaC) so your team stops firefighting and starts building.

ML & MLOps

Utilize and automate the deployment of sophisticated machine learning models to gain valuable predictive and prescriptive insights.

GenAI & LLMOps

The future revolves around Generative AI and its systematic integration from development to deployment, aimed at significantly improving customer experience.

Solutions in practice

Software & Technology

Rebuilding the data platform for growth and AI adoption

Fieldstream's fast growing marketing analytics platform was facing scalability and reliability challenges due to shared data pipelines. With Astrafy's support, they rebuilt their platform on Google Cloud, implementing isolated client pipelines and scalable infrastructure designed to support enterprise growth.

Our process

How we deliver

The goal is always the same: a platform your team inherits with confidence, not one they inherit with questions.

Technical assessment

We map your architecture goals to the right blueprint and plan your path to Google Cloud.

Secure foundation building

We deploy or modernize an enterprise-grade environment with best-practice networking and security.

High-performance scaling

We build optimized compute and database layers capable of handling real workloads.

GitOps handover

You get a fully automated, code-driven infrastructure with deployment pipelines and monitoring in place.

A cloud ecosystem engineered for performance

We leverage a meticulously selected stack of production-ready Google Cloud technologies and modern DevOps tools to ensure your infrastructure is secure, automated, and ready to scale.

Compute

Databases & storage

Enterprise Networking

Security & Compliance

Infrastructure as Code (IaC)

GitOps Automation

Monitoring

AI ambitions, no solid foundation

You know where you want to go your current setup isn't ready to support it.

Migrating to Google Cloud

You need to migrate to Google Cloud without breaking what's running today.

Stuck in maintenance mode

Manual configurations and operational overhead are eating your team's time.

Hitting limits on Google Cloud

Performance, networking, and database issues your internal team lacks the bandwidth or expertise to solve.

Who this is for

Built for teams like yours

Our resources

Discover our latest articles, webinars and insights.

Facing data challenges or not getting the most out of AI?

Facing data challenges or not getting the most out of AI?

Facing data challenges or not getting the most out of AI?