AI Deleted a Production Database in 9 Seconds
I examine the potential dangers of AI agents in production environments through a real data loss scenario. Why should we be careful?
31 posts found.
I examine the potential dangers of AI agents in production environments through a real data loss scenario. Why should we be careful?
I examine the role of ACID in database transactions, when it can be compromised, and in which situations it is critical, based on my own experiences.
Mustafa Erbay's experiences with 3 practical synchronization challenges encountered when building an offline-first architecture in mobile applications, along.
I'm examining the product tree denormalization problem I encountered in my side projects and my pragmatic approach to it. Is it really always necessary?
I explain the differences between consistency models in distributed systems, when I chose which one in my own experiences, and their trade-offs.
Understanding the differences, advantages, disadvantages, and key considerations for making the right choice between eventual consistency and strong.
I examine when database indexes are beneficial, when they hurt performance, and the right indexing strategies with real-world scenarios.
I compare the performance, concurrency, backup, and resource consumption differences of SQLite and PostgreSQL in production environments based on my field.
I explain how the convenience of ORMs negatively affects database performance, especially in enterprise applications, using my own field experiences.
An in-depth look at why the shared schema approach in multi-tenant ERP systems is risky, complete with real-world examples and technical details.
I analyze the benefits and costs of database partitioning. When should you partition, and when should you avoid it? I share my experiences.
The differences and advantages between local database and cloud-based approaches for mobile applications
I examine the shortcomings of ORM tools in large-scale projects, their performance bottlenecks, and alternative approaches with concrete examples.
A detailed examination of database index structures (B-tree, GIN, BRIN) and strategies for enhancing query performance. With real-world scenarios and concrete.
The importance of database transaction isolation levels in real-world applications, the problems I've encountered, and how the right choice impacts my career.
I analyze the practical implications of MVCC, performance trade-offs, and real-world scenarios when choosing a database for indie hackers.
A first-hand account of the SQLite concurrency and lockout problems I faced in the islistesi.com project, with the solution steps and lessons learned.
Dive deep into the causes, impacts, and strategies to prevent database replication lag, an 'invisible disaster.' Ensure data consistency and...
Connection leaks in production are a sneaky threat — they drain system resources without anyone noticing and quietly tank performance. In this post we look at…
A deep look at the long-term effects of database choices in system architecture and the scalability traps they create. The cost of bad decisions and…
Explore the complexity, challenges, and hidden production battles of Redis sharding. We shed light on the dark side of sharding.
Examine the challenges of database sharding decisions and possible architectural regrets through Mustafa Erbay's eyes. Technical depth and practical advice.
The performance and scalability gains read replicas offer come hand-in-hand with the stale data problem — examine this nightmare and how to wrestle it under…
A deep look at database provisioning mistakes I keep running into on cloud platforms, the symptoms they cause, and the fixes that actually hold up in…
Learn database replication strategies in cloud environments. Best methods for high availability, data security, and performance gains.
A guide to building PostgreSQL PITR practice with production discipline: WAL archiving, recovery time targets and safe restoration steps.
An expand/contract approach for schema changes without downtime, plus backfill strategy, dual-write risks, and a rollback plan.
Walks through quorum, replication lag, switchover/failover testing and recovery steps when running PostgreSQL high availability with Patroni, in runbook form.
A practical framework to detect the queue, timeout, and retry loop that emerges when a connection pool clogs, and to intervene safely.
An architectural approach that protects the production transactional load while moving reporting and analytics queries onto a separate data surface.
An ERP approach that manages database schema changes through a reversible and observable migration pipeline, without amplifying outage risk.