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Training Neon Postgres - Scaling High-Performance Serverless Databases

Ref: TWT510
10 people max.
7000€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master the Neon Postgres architecture for scalable professional databases
  • Develop advanced enterprise-certified branching workflows
  • Optimize serverless performance with autoscaling and compute
  • Implement security and API integrations in Neon Postgres
  • Design Neon-based CI/CD pipelines for critical projects
  • Deploy and monitor Neon Postgres clusters in production
  • Acquire expert skills to reduce infrastructure costs

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Neon Postgres Architecture: Expert Configuration and Initial Branching (CLI, Dashboard, SDK)

Dive into advanced Neon Postgres installation via CLI and dashboard, configure serverless projects with branching for isolated tests, explore the separated compute and storage architecture, perform practical exercises on creating branches from GitHub, migrate an existing PostgreSQL database to Neon using pg_dump and validate initial performance, produce a first scalable dev environment ready for the team.

Module 2Neon Postgres Branching: Advanced DevOps Workflows (CI/CD, Previews, Rollbacks)

Master ephemeral branches for pull requests with GitHub Actions integration, automate environment previews per commit, implement instant rollbacks without downtime, practice on concrete enterprise cases such as feature flags deployments, configure branch retention policies, generate architecture diagrams, and test real-time multi-team collaboration to boost productivity.

Module 3Neon Postgres Scaling: Serverless Performance Optimization (Autoscaling, Indexing, Queries)

Configure compute autoscaling for load peaks, analyze and optimize slow queries with pg_stat_statements and EXPLAIN ANALYZE, implement advanced indexes and partitioning on massive datasets, test high-concurrency workloads with pgbench adapted to Neon, measure gains in latency and throughput, produce an optimization report with recommendations for critical enterprise applications.

Module 4Neon Postgres Security: IAM, Encryption, and Integrations (API, ORMs, Cloud Providers)

Secure access with fine-grained IAM roles and JWT authentication, enable encryption at-rest and in-transit, integrate Neon Postgres with ORMs like Prisma or Drizzle via PgBouncer connection pooling, connect to AWS Lambda or Vercel for full-stack serverless, practice security audits on OWASP vulnerabilities, deploy private connections via VPC peering, validate GDPR compliance for sensitive production data.

Module 5Neon Postgres in Production: Monitoring, Backups, and High Availability (Alerts, Disaster Recovery)

Deploy monitoring with Neon dashboards and Prometheus/Grafana integrations, configure automated point-in-time recovery backups, simulate disaster recovery scenarios with failovers, implement custom alerts on CPU/RAM/connections metrics, finalize an enterprise-scale red thread project with code review, prepare a complete ops plan to maintain 99.99% uptime, export ready-to-use configurations and scripts.

Evaluation method

  • Expert multiple-choice quiz to validate learning outcomes at the end of the training
  • Continuous assessment through practical Neon Postgres exercises
  • Defense of the serverless red thread project before the trainer

Learning method

  • Courses led by an active Neon Postgres expert trainer
  • Practical exercises on real serverless enterprise cases
  • Progressive red thread Neon Postgres project throughout the training
  • Complete course materials provided to each participant

Methods, materials and delivery

The Training Neon Postgres - Scaling High-Performance Serverless Databases program is delivered onsite or remote (blended-learning, e-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training Neon Postgres - Scaling High-Performance Serverless Databases program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training Neon Postgres - Scaling High-Performance Serverless Databases program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

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