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Training ClickHouse - Orchestrating OLAP Databases in Kubernetes

Ref: PEY363
10 people max.
5500€ 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 containerized deployment of ClickHouse to scale enterprise OLAP clusters
  • Design Kubernetes architectures optimized for high-performance ClickHouse
  • Implement advanced Helm charts to orchestrate ClickHouse in certified production environments
  • Optimize ClickHouse performance via Docker and Kubernetes for sub-second queries
  • Develop professional CI/CD pipelines integrating ClickHouse in containerized environments
  • Manage high availability and monitoring of ClickHouse in Kubernetes clusters
  • Acquire expert skills in troubleshooting and scaling orchestrated ClickHouse

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.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1ClickHouse: Advanced Containerization with Docker (custom images, multi-arch)

Dive into creating optimized Docker images for ClickHouse, integrating expert configurations for data persistence and horizontal scaling. Perform practical exercises on persistent volumes, advanced networks, and multi-stage builds, then deploy a standalone ClickHouse cluster tested under high load. Analyze performance via real benchmarks, producing initial tuning reports for concrete enterprise cases.

Module 2ClickHouse: Stateful Kubernetes Deployment (StatefulSets, operators)

Configure Kubernetes StatefulSets for ClickHouse, managing integrated ZooKeeper and asynchronous replication. Practice installing the official ClickHouse operator, using expert YAML for headless pods and LoadBalancer services. Test resilience via chaos engineering, simulate failing nodes, and generate Grafana dashboards to monitor shards, resulting in a production-ready resilient cluster.

Module 3ClickHouse: Helm Charts and Advanced Orchestration (values.yaml, hooks)

Develop and customize Helm charts for ClickHouse, automating zero-downtime upgrades and secrets management. Integrate pre/post-deploy hooks for schema migrations, test in isolated namespaces with Helmfile. Practice multi-tenant scenarios, optimize CPU/RAM resources via HPA, and validate with end-to-end tests, delivering a reusable chart for scalable enterprise deployments.

Module 4ClickHouse: Scaling and Performance in Kubernetes (sharding, replication)

Optimize distributed sharding of ClickHouse on Kubernetes, configuring advanced MergeTree engines and materialized views. Implement autoscaling with Keda and VPA, test under massive loads via Apache Bench, adjust buffers and threads for minimal latencies. Integrate Prometheus for custom alerting, producing proven optimization playbooks on terabyte datasets in professional contexts.

Module 5ClickHouse: Monitoring, Security, and CI/CD in Production (troubleshooting)

Secure ClickHouse on Kubernetes with RBAC, network policies, and TLS everywhere, integrating GitOps via ArgoCD. Deploy CI/CD pipelines with GitLab, automating load tests and canary rollouts. Master expert troubleshooting via Fluentd logs and Jaeger traces, simulate major incidents, and conclude with a certifying final project: a fully orchestrated operational ClickHouse cluster.

Evaluation method

  • Advanced technical quizzes on ClickHouse and Kubernetes
  • Evaluated hands-on labs in pairs with expert feedback
  • Capstone project: Helm deployment of a scalable ClickHouse cluster

Learning method

  • Real projects inspired by Fortune 500 company cases
  • 70% hands-on labs on dedicated Kubernetes clusters
  • Qualiopi-certified pedagogical method with individual coaching
  • Lifetime access to virtual labs and post-training resources

Methods, materials and delivery

The Training ClickHouse - Orchestrating OLAP Databases in Kubernetes 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 ClickHouse - Orchestrating OLAP Databases in Kubernetes 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 ClickHouse - Orchestrating OLAP Databases in Kubernetes 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.

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What our learners

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TomFormation AWS — Cloud Practitioner
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Léo BlanchardFormation AWS — DevOps Engineer Professional
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« 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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