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This is my jungle boogie. [🎵]
My approach to software development is primarily data-centric, balancing both holistic and atomistic perspectives.
Some topics that I find interesting and/or valuable:
- Programming languages:
- Syntax, semantics, and paradigms
- How they are implemented
- How they influence the way we think
- Algorithms and data structures:
- Formulating problems, devising solutions
- Time and space complexity
- Zero-copy, zero-cost, zero-overhead abstractions
- Data architecture, data modeling
- Trade-offs, optimizations
- Systems design and software architecture:
- Extensibility, interoperability
- Performance, scalability
- Reliability, security, sustainability
- Maintainability, testability
- Design patterns, anti-patterns
- Standards, conventions, technical debts
- Accessibility, user interface, user experience
- Metaprogramming, code generation, developer experience
- Distributed systems:
- Consistency, high availability, fault tolerance
- Service discovery, service mesh, load balancing
- Concurrency, parallelism, topology
- Event-driven architecture, back-pressure
- Data ingestion and processing
- Immutability, statelessness, statefulness
- Automation and self-healing:
- Adaptive systems, bots, reducing human intervention
- Monitoring, alerting, logging
- Automatic maintenance
- CI/CD pipelines:
- Automated builds, tests, and deployments
- Provisioning, configuration management
- Transparent provenance
Some qualities that I find important:
- Accessibility: Accepting emergency calls but didn't think about deaf people? So do most governments.
- Deterministic environment: Automatically updating kernel modules on aircraft? You wouldn't want to be on that plane.
- Resource consumption: Needing nuclear power just to run faster? Better to rate-limit by prioritizing businesses categorically. Because scaling without limits is already breaking sustainability.
Safety first. 💚
If you have any questions, suggestions, or feedback, feel free to reach out. My contact information is available on my profile.