Technology Radar
A strategic map of the technologies, tools, and frameworks I monitor, evaluate, and implement. This radar reflects my commitment to engineering excellence and staying at the forefront of the Cloud & Data ecosystem.
Last updated: February 2026
Adoption Levels
To provide clarity on my technical stance, I categorize technologies into four levels:
- ADOPT: High confidence. Battle-tested in production environments. My default choice for new projects.
- TRIAL: Actively using in pilot projects. Shows great promise with manageable risk.
- ASSESS: Under investigation. Monitoring its evolution and community traction.
- HOLD: Proceed with caution. Technologies I'm moving away from or that require specific legacy support.
Knowledge Domains
Explore my detailed assessment across different engineering pillars:
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AI & MLOps ---
Vertex AI, RAG architectures, and model governance.
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Code Quality ---
Security, testing standards, and observability.
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Data Engineering ---
Modern data stack, orchestration, and transformation.
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Data Governance ---
Data Vault, Medallion, and Contracts.
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DevOps & IaC ---
Terraform, CI/CD automation, and GitOps.
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GCP Architecture ---
Enterprise patterns, networking, and landing zones.
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Go Ecosystem ---
Cloud Native development and high-concurrency systems.
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Python Ecosystem ---
Modern tooling, package management, and MLOps.
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Rust Ecosystem ---
High-performance CLI tools and web frameworks.
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Web Ecosystem ---
Modern frontend frameworks and backend runtimes.
Inspired by the ThoughtWorks Technology Radar.
Each entry reflects a personal professional assessment based on real-world implementation.