Track 4: Professional Branding — PostgreSQL Production Labs
Track 4 of 4

Professional
Branding Track

Build your professional reputation through deep PostgreSQL internals, engineering case studies, technical writing, open source, and a personal brand that makes you stand out.

Built for: "I want to be recognized as a PostgreSQL expert — not just someone who operates a database."

Track at a Glance
~43
Total Sessions
27
PostgreSQL Core Sessions
3
Real Engineering Case Studies
13
Internals & Branding Sessions
Track Investment
₹25,000
EMI available · Live sessions only
Who is this for

This Track is For You If…

🎯 Working DBA Who Wants to Be Known

You're good at your job but invisible in the community. This track gives you the technical depth and public presence to change that.

✍️ Engineer Who Wants to Teach or Write

You want to start a blog, contribute to docs, speak at conferences, or build a following. The technical writing and open source modules give you the framework.

🔬 DBA Who Wants Internals Depth

You want to understand MVCC deeply, read WAL bytes, debug replication edge cases — and be the person colleagues call when things break.

📈 Senior Engineer Targeting Principal/Staff Level

At senior levels, visibility and articulation matter as much as skills. This track develops both simultaneously.

What You'll Achieve

Outcomes After This Track

Technical depth + public presence. Both, not one or the other.

🔬 Deep PostgreSQL Internals

Explain MVCC, WAL, and replication internals at a level most DBAs cannot. Understand the "why" behind every production behavior.

📖 Real Engineering Case Studies

Analyze how Uber, OpenAI, and real production teams made architectural decisions — and learn to reason the same way.

✍️ Technical Writing & Presentation

Write postmortems, architecture docs, blog posts, and conference proposals that get read and respected.

🌐 LinkedIn & GitHub Presence

A DBA-optimized LinkedIn profile and a GitHub that shows real work — not just forks and empty repos.

🤖 AI & Agentic Workflows

Understand how AI tools are being applied to database engineering and how to position yourself in that transition.

🌱 Open Source Contributions

Make your first (or next) meaningful PostgreSQL community contribution — extensions, docs, or tooling.

Inside This Track

Engineering Case Studies

Real decisions. Real architectures. Real lessons. Not textbook examples.

Case Study 1: Uber & MVCC

Why Uber migrated away from PostgreSQL — the MVCC write amplification problem, index bloat at scale, and what it means for your architecture decisions today.

Case Study 2: OpenAI & PgBouncer

How OpenAI scaled connection management with PgBouncer — pool modes, transaction vs session pooling, and the tuning decisions behind handling millions of connections.

Case Study 3: Real Production Outages

Dissecting real replication failures and storage exhaustion incidents — root cause analysis, timeline reconstruction, and how to write a postmortem that builds trust.

Full Curriculum

All ~43 Sessions

Core PostgreSQL foundation + internals depth + professional brand.

Phase 1
PostgreSQL Core — Architecture through HA
Sessions 1–27 · Shared with Track 1 & Track 2
01–07
Why PostgreSQL → Architecture → ACID → Installation (3 parts) → CRUD Workflow
Shared Core
08–11
Logger Process → Autovacuum Process (3 sessions)
Shared Core
12–14
Post-Installation (pg_hba.conf) → Parameter Tuning Parts 1 & 2
Shared Core
15–17
psql → Datafiles → WAL Files
Shared Core
18–19
User Administration Parts 1 & 2
Shared Core
20–22
Logical Backups → Backup & Recovery Parts 1 & 2 (PITR)
Shared Core
23–24
Replication Parts 1 & 2 — streaming replication, monitoring
Shared Core
25–27
PgPool & PgBouncer → Patroni → Grafana
Shared Core
Phase 2
Performance & Upgrades
3 sessions shared with Track 2
28
Performance Engineering — Query Tuning, Wait Events, Lock Analysis
Shared Core
29
Upgradation and Logical Replication — pg_upgrade, major version upgrades
Shared Core
30
PT: pgBadger — Log analysis and query performance reporting
Shared Core
Phase 3
Professional Brand
2 sessions · LinkedIn & GitHub — exclusive to Track 4
31
LinkedIn Optimization — Building a DBA expert profile that attracts opportunities
Track 4 Only
32
GitHub Profile Optimization — Showcasing technical work, labs, and contributions
Track 4 Only
Phase 4
Engineering Case Studies
3 sessions · Real-world architecture decisions
33
Case Study 1: Uber MVCC — Why Uber migrated away from PostgreSQL
Track 4 Only
34
Case Study 2: OpenAI + PgBouncer — Scaling connection management
Track 4 Only
35
Case Study 3: Real Production Outages — Replication failures & storage exhaustion
Track 4 Only
Phase 5
Deep Internals
6 sessions · Where most DBAs stop, you go deeper
36
MVCC Internals — Why it exists, tuple versions, dead tuples, and visibility rules
Internals
37
Locking & Concurrency — Lock types, deadlock analysis, pg_locks in production
Internals
38
WAL Internals — What every byte means, LSN tracking, WAL compression
Internals
39
Replication Internals — Synchronous commit edge cases & failure analysis
Internals
40
AI & Agentic Workflows for Database Engineering
Track 4 Only
41
Technical Writing & Presentation Skills — Postmortems, architecture docs, blog posts
Track 4 Only
Phase 6
Community & Open Source
2 sessions · Building a reputation in the PostgreSQL community
42
PostgreSQL Source Code Concepts — Reading the codebase, understanding extension APIs
Track 4 Only
43
Open Source & Community Contributions — Contributing to PostgreSQL, extensions, and docs
Track 4 Only
Investment

Enrol in Track 4: Professional Branding

₹25,000
≈ $300 USD
  • ~43 live sessions — core PostgreSQL + internals + brand
  • Full PostgreSQL core through HA, replication, and Grafana
  • Performance Engineering and pgBadger sessions
  • 3 real engineering case studies (Uber, OpenAI, production outages)
  • Deep internals: MVCC, WAL, Locking, Replication edge cases
  • AI & Agentic Workflows for database engineering
  • Technical Writing & Presentation Skills
  • LinkedIn & GitHub optimization
  • PostgreSQL Source Code Concepts & Open Source contributions
  • Session recordings for revision
💳 EMI available: 2 × ₹12,500
Enquire & Enrol in Track 4
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