Cloud Engineering Articles
Cloud Engineering articles and tutorials covering cloud architecture, distributed systems, scalability, DevOps practices, high-availability design, performance optimization, and real-world production patterns.
Page 1/1
System DesignAWS ArchitectureScalabilityCloud EngineeringHigh Throughput Systems
How to Scale an App to 10 Million Users on AWS: A Practical, Architecture-Driven Blueprint
A deep dive by JMS Technologies into AWS-scale system design—breaking down concurrency modeling, distributed services, high-throughput data patterns, caching strategy, and event-driven architectures built for 10M+ users.- Published on
Distributed SystemsEvent StreamingApache Kafka ArchitectureScalabilityData PipelinesEvent-Driven Systems
How Kafka Works: Inside the Architecture of a Distributed Streaming Platform
A deep technical dive by JMS Technologies into Kafka’s internal architecture—log-based storage, partitions, replication, producers, consumers, and real-time stream processing at massive scale.- Published on
Distributed SystemsServerless ArchitectureScalabilityHigh-Throughput SystemsMeta XFaaS
How Meta Scales XFaaS to Millions of Serverless Calls per Second
A deep technical dive by JMS Technologies into Meta’s internal serverless platform—covering XFaaS architecture, global scheduling, high-density worker execution, durable queues, back-pressure mechanisms, and how Meta achieves trillions of invocations per day.- Published on
System DesignDistributed SystemsScalabilityReal-Time ArchitectureGeospatial SystemsUber Engineering
How Uber Handles 1M+ Requests per Second to Find Nearby Drivers
A deep dive by JMS Technologies into Uber’s real-time architecture—how geospatial indexing (H3), streaming pipelines, in-memory systems, and global optimization enable sub-200 ms matching at planetary scale.- Published on
System DesignDistributed SystemsScalabilityMachine LearningX / Twitter Architecture
How X/Twitter’s Timeline Architecture Works at Planetary Scale
A deep dive by JMS Technologies into X's (formerly Twitter) system design—analyzing fan-out on write, hybrid architecture, the 'For You' ranking algorithm, and how to scale distributed systems for millions of concurrent users.- Published on
System DesignDistributed SystemsScalabilityDatabasesYouTube Architecture
How YouTube Scaled to 2.49 Billion Users Using MySQL (and Later Vitess)
A deep dive by JMS Technologies into YouTube’s real system architecture—how MySQL, sharding, aggressive caching, replication, and Vitess enabled the platform to scale to billions of users.- Published on
Page 1 of 1