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bongoDev | Hotspots, Skew & Monotonic Key Failure Modes - Database Reliability Pro

TopicDatabase Reliability Pro

01Database Reliability Mental Model: Correctness, Durability, Availability & RecoverabilityPreview
02Choose the Right Data System: Relational, Key-Value, Document & Distributed Trade-offs
03Transactions & ACID: The Business Correctness Boundary
04Isolation Levels & Concurrency Anomalies
05MVCC, Row Versions & Visibility
06Locks, Blocking & Deadlocks
07Database Connections: Lifecycle, Limits & Failure Modes
08Connection Pooling: Sizing, Backpressure & Pooler Architecture
09SQL Request Lifecycle: Parse → Plan → Execute → Commit
10Indexes: Reliability, Selectivity & Write Trade-offs
11Query Plans & EXPLAIN: Read the Work, Not Just the SQL
12Statistics, Cardinality Estimates & Plan Stability
13CPU, Memory, Buffer Cache & Working Set
14Storage I/O, WAL/Redo, fsync & Commit Latency
15Checkpoints, Vacuum/Purge, Compaction & Background Maintenance
16Constraints & Data Integrity as Reliability Controls
17Schema Evolution: Backward Compatibility & Mixed Versions
18Zero-Downtime Database Migrations: Expand → Migrate → Contract
19Replication Mental Model: Durability, Read Scale & Recovery
20Synchronous vs Asynchronous Replication & Commit Trade-offs
21Leader Election, Promotion, Failover & Fencing
22Read Replicas, Staleness & Read-After-Write Guarantees
23Backup Strategy: Logical, Physical, Snapshot & Log-Based
24Point-in-Time Recovery: Base Backup + Transaction Log
25Restore Validation: A Backup Is Not Proven Until Restored
26RPO, RTO & Database Recovery Tiering
27Multi-AZ High Availability & Failure-Domain Design
28Regional Disaster Recovery: Standby, Replication & Failback
29Multi-Region Consistency, Quorums & Latency Trade-offs
30Partitioning & Sharding: Scale Without Losing Operability
31Hotspots, Skew & Monotonic Key Failure Modes
32Primary Keys, IDs & Data Locality
33PostgreSQL Reliability Operations: Processes, WAL & Catalog Evidence
34PostgreSQL VACUUM, Autovacuum, Bloat & Transaction Age
35PostgreSQL Locks, Wait Events & Long Transactions
36PostgreSQL Streaming Replication, Slots & PITR
37MySQL/InnoDB Reliability: Redo, Undo, Buffer Pool & Transactions
38MySQL Replication, GTIDs, Lag & Failover
39MySQL Locks, Metadata Locks & Performance Schema
40Managed Database Reliability on AWS, Azure & GCP
41Database Proxies & Poolers: PgBouncer, Managed Proxies & Trade-offs
42Database Observability: Golden Signals, Waits & Business Correlation
43Slow Query Engineering: Detect → Explain → Fix → Regress-Test
44Database Capacity Planning: Throughput, Concurrency, Headroom & Growth
45Database Saturation & Overload Protection
46Cache + Database Reliability: Protect the Source of Truth
47Queues & Write Buffering: Smoothing Database Load Safely
48Database Retry Safety, Idempotency & Transaction Boundaries
49ORM Reliability: N+1 Queries, Hidden Transactions & Connection Leaks
50Data Corruption & Integrity Incident Response
51Database Security: Authentication, Authorization, TLS & Least Privilege
52Secrets, Credential Rotation, Certificates & Database Identity
53Maintenance, Patching & Minor-Version Upgrades
54Major Database Upgrades & Compatibility Strategy
55Database Change Management: DDL, Config, Indexes & Risk Gates
56Running Databases on Kubernetes: Stateful Reliability Trade-offs
57NoSQL Reliability: Key-Value & Document Database Patterns
58Consensus, Quorum & Split-Brain Fundamentals for Database Engineers
59Database SLOs & Reliability Alerts
60Database Incident Triage: First 5 / 15 / 30 Minutes
61Connection Exhaustion & Pool Storm Incident
62Lock Storm & Deadlock Incident
63Replication Lag & Replica Failure Incident
64Storage Full, WAL/Redo Growth & Runaway Disk Incident
65Failover Incident: Promotion, Client Reconnect & Recovery Validation
66Database Performance Testing: Realistic Workloads & Safe Benchmarks
67Database Load Shedding, Prioritization & Graceful Degradation
68Transactional Outbox, Inbox & Reliable Database-to-Event Handoffs
69Saga & Compensation Patterns for Cross-System Transactions
70Database Ownership, Service Catalog & Operational Readiness
71Database Reliability Review & Production Readiness Checklist
72Lab: Connection Pool Storm During Kubernetes Autoscaling
73Lab: Bad Migration, Metadata Lock & Production Recovery
74Lab: Primary Failure, Promotion, Stale Reads & Failback
75Lab: Logical Corruption, PITR & Business Reconciliation
76Database Reliability Troubleshooting Playbook
77Database Command & Evidence Playbook: PostgreSQL, MySQL & Linux
78Database Reliability Pro Cheatsheet

Englishবাংলা

Knowledge Hub/Database Reliability Pro/Hotspots, Skew & Monotonic Key Failure Modes

Database Reliability Pro

Paid lesson · Advanced · 46 min read

Hotspots, Skew & Monotonic Key Failure Modes

Detect uneven load that aggregate database metrics can hide.

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PreviousPartitioning & Sharding: Scale Without Losing OperabilityLocked NextPrimary Keys, IDs & Data LocalityLocked

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