Designing the Jit Analytics Architecture for Scale and Reuse
As a SaaS provider, analytical data at Jit needs to be useful to both their customers and to internal stakeholders.
Agility and Architecture: Balancing Minimum Viable Product and Minimum Viable ArchitectureInfoq
Designing & Managing for ResilienceInfoq
Combining DataOps and DevOps: Scale at SpeedInfoq
Adaptive Architecture: a Bridge between Fashion and TechnologyInfoq
Grab Redesigns Counter Service Storage for 50% Lower P99 LatencyInfoq
The Async Multiprocessing Has Sound Foundations in Linux, But Further Testing is NeededInfoq
How we grew Mintlify by doing things that don't scaleMintlify
How to implement AI training for employeesZapier
Pancakes Are Delicious and Data Centers Are for Free StuffThenewstack
Three Key Design Considerations for an Event-Driven ArchitectureThenewstack
Transform and Future-Proof Your Architecture with MACHThenewstack
Selecting the Right Database for Your MicroservicesThenewstack
Introducing CORPS: The 5 Pillars for a Robust Cloud Architecture FrameworkThenewstack
What is a Streaming Multiprocessor Architecture?Modal
pg_duckdb: Splicing Duck and Elephant DNAMotherduck
The Serverless Backend for Analytics: Introducing MotherDuck’s Native Integration on VercelMotherduck
PostgreSQL and Ducks: The Perfect Analytical PairingMotherduck
SQL is Dead, Long Live SQL: Engineering a Reliable Analytics Agent from ScratchMotherduck
Real-Time Computational Physics with Wafer-Scale Processing [updated]Cerebras
KAUST and Cerebras Named Gordon Bell Award Finalist for Solving Multi-Dimensional SeismicCerebras
