Containers

Traditional applications often rely on inconsistent dependencies and tightly coupled, monolithic architectures that are difficult to deploy and scale reliably. This creates “it works on my machine” issues and slows down delivery across environments.

The solution containers solve this by packaging an application and its dependencies into a portable, consistent unit shifting from “pets” to “cattle” so teams can deploy the same build anywhere, scale predictably, and modernise services more safely.

Container Data Storage

Container and Kubernetes data storage can be complex to manage, difficult to scale, and expensive especially when teams need persistent volumes, backups, and recovery across multiple clusters and environments. Without a consistent approach, data protection becomes manual and unreliable.

Container data storage solutions address this by automating and unifying how data is provisioned, protected, and recovered for modern applications, helping teams reduce operational overhead, improve resilience, and control costs as they scale.

Kubernetes

Running containers is easy at small scale but managing them across multiple services and environments quickly becomes complex. Teams struggle with scheduling, scaling, failover, updates, and maintaining reliability as demand changes.

The solution Kubernetes solves this by orchestrating containers at scale automating deployment, scaling, and recovery so applications run consistently and reliably, even as infrastructure and workloads grow.

It's predicted that by 2030, the market opportunity with be circa $10B for technology companies in the Container Management and Kubernetes space, including the security and runtime of those same deployment. This is massively being driven by the rise of cloud native application deployment with it now being estimated that 90% of companies are already using or planning to use Kubernetes.

Customers are looking at building own developer platforms, using managed services to run their containers and Kubernetes clusters or now looking to refine their day 2 operations. It's really just a question of where they are in their journey & this is something we're seeing across all major industries.

Financial Services
Healthcare
Public Sector
Telecommunications
Energy
Retail/Ecommerce

Roles

Who cares about Securing Containers, Kubernetes & Data?

Platform Engineering Manager
Kubernetes Platform Owner
DevOps/SRE Lead
Cloud/Kubernetes Architect
Cloud Security Architect
Security Engineering Lead
CISO/Head of Security