Cloud Native - Incubator Implementation


Build a vision for your cloud native future with our expert support. Generate a tangible and realistic transformation plan. Quickly translate vision into action and action into outcomes with our help.

Kainos has a 36+ year history helping organisations of all sizes adopt technology and drive transformation on their terms. We are Azure cloud specialists holding multiple advanced specialisations including in Kubernetes, Windows, SQL Server, Linux and Opensource technologies.

What do you get?

A Cloud Native transformation plan leveraging Azure technologies with implementation support from our experts. You get:
  • Transformation Roadmap: Tailored and prioritised on business outcomes across people, process and Azure technologies
  • Ongoing Tracking: Key performance indicators to assess progress, gauge the impact of changes and pivot should it be required
  • Expert Advice: With 200+ certifications across 160+ cloud platform specialists, our architects are steeped in cloud-native approaches, tools, and technologies
  • Aligned Champion: Close implementation support form Kainos champion

How does this work?

Assessment: Week 1
We will complete our Advance Vision Workshop process to:
  • Learn about your business, its challenges, and any market pressures/opportunities
  • Discuss current-state, future vision, and any in-flight transformation initiatives
  • Assess current capabilities, processes, technologies and ways-of-working
  • Analyse findings to create transformation initiatives and key performance indicators
Planning: Week 2
Translation of transformation initiatives into detailed plan balancing complexity, risk, resources and potential business impact.

Incubation: Weeks 3-10
With the expert support of our cloud native champion and wider community of 2,500+ technologies, we will build momentum, work closely with your teams and help accelerate or pivot initiatives required.

Why Kainos?

Why Kainos?We don’t lead with technology - we first understand your business problems and work backwards from that to suggest optimum approaches