Introduction to Multicloud
Learn the basics and possibilities of multicloud in banking.
Ideal for teams that…
Cloud, automation and CI/CD in practice — hands-on for engineering teams.
Understand basic cloud computing models and their application in banking
Compare and select compute, storage, networking, and AI/ML services across different clouds
Apply good security and compliance practices in multicloud environments
What you should know before we start
- Basic knowledge of IT and networks
- Knowledge of basic concepts related to cloud infrastructure and services
- No requirements regarding practical knowledge of specific cloud platforms
What we actually do
- · What is cloud computing and its evolution
- · Key benefits for banking organizations (cost efficiency, scalability, innovation)
- · Cloud service models explained (IaaS, PaaS, SaaS)
- · Cloud deployment models (Public, Private, Hybrid, Multi-cloud)
- · Security concerns and solutions in cloud environments
- · Banking regulatory requirements (data sovereignty, privacy)
- · Shared responsibility model
- · Compliance frameworks relevant to banking (PCI-DSS, GDPR, etc.)
- · Risk management approaches for cloud adoption
- · Virtual machines across major cloud providers
- · Serverless computing concepts and implementations
- · Container orchestration services comparison
- · Practical banking use cases for compute services
- · Object storage solutions comparison
- · Block storage options across providers
- · Relational database services in the cloud
- · NoSQL database options and use cases
- · Banking data considerations and storage strategies
- · Virtual networks implementation across providers
- · Load balancing strategies and options
- · Content delivery networks comparison
- · Connectivity options for hybrid deployments
- · Banking security considerations for network design
- · Identity and access management
- · Encryption and key management services
- · Security monitoring and threat detection
- · Compliance certifications comparison
- · Banking-specific security requirements implementation
- · Data warehousing options comparison
- · Machine learning platforms overview
From brief to retro in 30 days.
Brief & diagnosis
A call with the team lead + a short survey for participants. We define goals, gap and context.
Program customization
We adapt modules, case studies and code examples to your stack. Approval in 5 days.
Workshop
Trainer-led sessions, hands-on, code review. Mentor available between sessions too.
Retro + report
Outcome report for the team and lead. 30 days of consulting included.
Send a brief. We'll reply within 1 day.
After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.
Thank you!
We'll get back to you within 1 business day.
Other programs for teams
See all →A Practical Introduction to Containers in Azure
Cloud, automation and CI/CD in practice — hands-on for engineering teams.
AWS - Architecting on AWS
Cloud, automation and CI/CD in practice — hands-on for engineering teams.
AWS - Developing on AWS
Cloud, automation and CI/CD in practice — hands-on for engineering teams.