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Day 15: Redlock Algorithm - A Deeper Dive into Distributed Consensus
Working Code Demo:
Sep 23
•
Sumedh
2
Day 14: Introduction to Redis for Distributed Locks
Working Code Demo:
Sep 20
•
Sumedh
2
Day 13: Database-Backed Distributed Locks (Optimistic Locking)
Building Ultra-Scalable Task Schedulers with Conflict-Free Concurrency
Sep 16
•
Sumedh
Day 12: Database-Backed Distributed Locks (Pessimistic Locking)
Building Ultra-Scalable Task Schedulers: When One Instance Must Rule Them All
Sep 12
•
Sumedh
5
Day 11: The Distributed Lock Problem
Why Multiple Instances Can't Just "Wing It" When Executing Tasks
Sep 8
•
Sumedh
2
Day 10: Understanding Runnable and Callable for Task Execution
The Problem We're Solving
Sep 4
•
Sumedh
4
August 2025
Day 9: Dynamic Task Creation and Scheduling
From Static @Scheduled to Database-Driven Task Orchestration
Aug 31
•
Sumedh
4
Day 8: Building Your First Task Management API -
Ultra-Scalable Task Scheduler Implementation Series
Aug 27
•
SystemDR
3
Day 7: Task Persistence - Choosing Your Database (RDBMS Focus)
Building Ultra-Scalable Task Scheduler with Java Spring Boot
Aug 23
•
Sumedh
1
Day 6: Designing the Task Definition Model
Building the Blueprint for Scalable Task Management
Aug 19
•
Sumedh
2
Day 5: Introducing the Need for a Distributed Scheduler
We're Solving
Aug 15
•
SystemDR
3
Day 4: The Single-Instance Problem - Why @Scheduled Breaks in the Real World
Building Ultra-Scalable Task Schedulers with Java Spring Boot
Aug 12
•
SystemDR
2
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