Platform engineering is the discipline of designing and building toolchains and workflows that enable self-service capabilities for software engineering organizations in the cloud-native era.

Platform Engineering

:building_construction: *How to Build Data Products | Evolve: Part 4/4*: Advanced SLOs, Feedback Loops, Optimised Data Product, and more!

 *What awaits you in this succinct piece:*
:arrow_right: Introduction: ‘_Evolve_’ at a Glance, Relevance
:arrow_right: Fundamentals
—— Evolutionary Architecture
—— Fitness Functions
—— Fitness Parameters
—— Dynamic Changes
—— Feedback Loops
:arrow_right: Evolving Data Products with Self-Serve Data Platforms
—— Metrics Monitoring, SLO Optimisation, Catalysts for Higher Adoption
—— Progressive Inclusion of Multiple Use Cases
—— Resource Optimisation
—— Maitenance Automation
—— RCA &amp; Log Analysis Enhancements
—— Other Capabilities Critical to Evolve Stage
:arrow_right: Fitness in the Context of Data Mesh

:email: *Read the complete article here*: <https://moderndata101.substack.com/p/evolving-data-products>