Track 2: Production Engineering — PostgreSQL Production Labs
⭐ Most Popular Track · 70% of Enrolments

Production
Engineering Track

Learn to deploy, operate, troubleshoot, and maintain highly available PostgreSQL environments with production-ready tools and best practices.

Built for: "I need to maintain my production database on my own — with confidence."

Track at a Glance
40
Total Live Sessions
100%
Production Focus
AWS
RDS & Aurora Included
HA
Patroni + Failover Labs
Track Investment
₹20,000
EMI available · Live sessions only
Who is this for

This Track is For You If…

🏭 Working DBA With Production Responsibility

You manage PostgreSQL in production but there are gaps — backup strategy, HA setup, AWS, performance. This fills all of them systematically.

💻 Developer Turned Accidental DBA

You inherited the database or your team doesn't have a dedicated DBA. You need to operate it confidently without guessing.

🔄 DBA From Another Database (Oracle, MySQL)

You know databases but need PostgreSQL-specific production knowledge — the config, tools, HA approach, and cloud deployment.

📈 Mid-Level Engineer Moving to Senior

You want to take ownership of your production database — including AWS RDS, Terraform workflows, performance engineering, and SRE practices.

What You'll Achieve

Outcomes After This Track

40 sessions, fully focused on running PostgreSQL in production.

🏗️ Production Setup from Scratch

Install, configure, secure, and deploy PostgreSQL on Linux — including all production-grade parameter tuning.

💾 Enterprise Backup & Recovery

pg_basebackup, WAL archiving, and hands-on Point-in-Time Recovery (PITR) — the full backup strategy.

🔄 High Availability & Failover

Streaming replication, Patroni automatic failover, HAProxy load balancing — production HA end to end.

☁️ AWS RDS & Aurora

Deploy, configure, and manage PostgreSQL on AWS RDS and Aurora including Multi-AZ and read replicas.

⚡ Performance Engineering

EXPLAIN ANALYZE, wait events, lock analysis, pgBadger, index strategies, partitioning — fix slow queries under pressure.

🤖 DevOps, AI & SRE for DBAs

Git, Jenkins, Terraform workflows, AI tools for database work, and SRE practices applied to database operations.

Full Curriculum

All 40 Sessions

Every session listed. Live delivery. No skipped topics.

Phase 1
PostgreSQL Fundamentals & Architecture
Sessions 1–7 · Why PostgreSQL works the way it does
01
Why PostgreSQL — History, MVCC, WAL, Architecture Overview
Core
02
Connection Establishment — The postmaster process explained
Core
03
ACID Properties — Transactions, isolation levels in depth
Core
04
Installation Part 1 — Source Code, RPM, YUM Installations
Core
05
Installation Part 2 — Extensions, Devel Module
Core
06
Installation Part 3 — PostgreSQL on Ubuntu, EDB, Percona Distribution
Core
07
Architecture — CRUD Workflow end to end
Core
Phase 2
Processes, Configuration & Security
Sessions 8–19 · The engine room of PostgreSQL
08
Logger Process — How PostgreSQL logging works
Core
09
Autovacuum Process Part 1 — What it does and why it matters
Core
10
Autovacuum Process Part 2 — Tuning autovacuum parameters
Core
11
Autovacuum Process Part 3 — Bloat detection and remediation
Core
12
Post-Installation Steps — pg_hba.conf, SCRAM-SHA-256 authentication
Core
13
Parameter Tuning Part 1 — shared_buffers, work_mem, maintenance_work_mem
Core
14
Parameter Tuning Part 2 — WAL, checkpoint, planner, background writer
Core
15
psql — Command-line mastery: meta-commands, scripting, debugging
Core
16
Datafiles — Physical structure, data directory layout, page internals
Core
17
WAL Files — Write-Ahead Logging internals and management
Core
18
User Administration Part 1 — Roles, users, object privileges
Core
19
User Administration Part 2 — RBAC, row-level security, best practices
Core
Phase 3
Backup, Recovery & Replication
Sessions 20–27 · The most critical production skills
20
Logical Backups — pg_dump, pg_dumpall, restore strategies
Core
21
Backup and Recovery Part 1 — pg_basebackup, WAL archiving setup
Core
22
Backup and Recovery Part 2 — Point-in-Time Recovery (PITR) hands-on
Core
23
Replication Part 1 — Streaming replication setup, sync vs async
Core
24
Replication Part 2 — Monitoring, slots, troubleshooting replication lag
Core
25
PgPool-II & PgBouncer — Connection pooling, pool modes, load balancing
Core
26
Patroni — Automatic failover, etcd, HA cluster setup
Core
27
Grafana — Monitoring dashboards and alerting for PostgreSQL
Core
Phase 4
Cloud, Advanced HA & Performance
Sessions 28–35 · Track 2 exclusive — where production gets serious
28
AWS Part 1 — Infrastructure Setup, VPC, security groups for RDS
Track 2 Only
29
AWS Part 2 — RDS Administration, parameter groups, snapshots, Multi-AZ
Track 2 Only
30
AWS Part 3 — Migrations to RDS/Aurora using DMS and ora2pg
Track 2 Only
31
High Availability Deep Dive — Patroni internals, HAProxy, failover & switchover
Track 2 Only
32
Performance Engineering — Query tuning, wait events, lock analysis
Track 2 Only
33
Upgradation and Logical Replication — pg_upgrade, major version upgrades
Core
34
PT: pgBadger — Log analysis, slow query reporting, trend analysis
Core
35
PT: Index Strategies and Partitioning — B-tree, GIN, BRIN, partial indexes
Track 2 Only
Phase 5
DevOps, AI, SRE & Certification
Sessions 36–40 · Modern DBA skills for 2025 and beyond
36
DevOps for DBA — Git, Jenkins, Terraform workflows
Track 2 Only
37
AI for DBA — pgvector, LLM integration, AI-powered database tools
Track 2 Only
38
SRE for DBA — Reliability engineering, SLOs, incident management
Track 2 Only
39
Certification Questions & Job Description Discussion — EDB, AWS Database Specialty
Track 2 Only
40
Conclusion — Recap, next steps, community, what to build next
Track 2 Only
Investment

Enrol in Track 2: Production Engineering

₹20,000
≈ $240 USD
  • 40 live sessions — the complete production PostgreSQL curriculum
  • Full PostgreSQL core: architecture through HA, replication, Patroni
  • AWS RDS & Aurora — hands-on cloud deployment
  • Performance Engineering — query tuning, wait events, pgBadger
  • DevOps, AI for DBA, SRE practices
  • Certification prep: EDB Associate, AWS Database Specialty
  • Session recordings for revision
💳 EMI available: 2 × ₹10,000
Enquire & Enrol in Track 2
How Tracks Compare

Track 2 vs The Others

Understand exactly what's different before you decide.

What's Covered Track 1
Foundations		 Track 2
Production Engg		 Track 3
Platform Engg		 Track 4
Prof Branding
Linux & OS Fundamentals✓———
PostgreSQL Core (Architecture → HA)✓✓—✓
AWS RDS & Aurora—✓✓—
HA Deep Dive & Performance Engineering—✓——
Index Strategies & Partitioning—✓——
DevOps, AI for DBA, SRE—✓——
Kubernetes, Docker, Terraform——✓—
MVCC/WAL Internals & Case Studies———✓
LinkedIn, Resume & Career Prep✓——✓
Price₹15,000₹20,000₹20,000₹25,000
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