Cloud Native Journey Part 2: Technical Adventure

  • application scalability
  • loose coupling of systems and services
  • transparency and observability
  • smaller codebases and features instead of monolithic ones
  • reliance on containers, service meshes, APIs, microservices, and stable infrastructure

Exploring Technical Implementation

Cloud-native transitions require plenty of expertise to complete, though the process has become increasingly approachable with the rise of SaaS and PaaS. However, acquainting yourself with some technical basics is immensely helpful. The cloud’s benefits stem from common elements integral to cloud-native infrastructures:

  • microservices-bundles of loosely-coupled APIs and features
  • containers-virtual packages of mission-critical application code, software, and dependencies
  • modern design-modular, scalable, and nimble infrastructures that streamline deployment
  • backing services-vital supporting services like databases, caches, and more that are exposed to help ecosystems run smoothly
  • automation-efficient processes that run automatically in response to events or passage of time to facilitate management without excessive human intervention

Introducing Cluster Models

These days, Kubernetes is the go-to solution for managing containerized environments. While Kubernetes has multiple building blocks per the containerized computing model, arguably, the most critical component is the cluster.

  • the control plane
  • nodes
  • pods
  • containers
  • container runtimes
  • schedulers, API servers, the kubelet, and any supporting components like DNS

Multi-tenant Clusters

Cluster multi-tenancy describes a setup where multiple teams share one cluster or where a team shares multiple clusters. These clusters are larger overall by default since they must house every component and dependency integral to every application hosted in them.

Single-Tenant Clusters

The alternative to multi-tenant clusters is single tenancy. Compared to multi-tenancy, single tenancy assigns one internal team, application, or department to a given cluster. Organizations must therefore maintain a larger number of clusters overall with this model. These deployments are inherently more isolated because they give each entity its own space in which to operate.

Conclusion

On the journey to cloud-native deployment, understanding the technical approaches you can take is paramount. How you deploy your clusters will have a major impact on application performance. Your strategy will also influence the topography of your cloud-native infrastructure. Before deployment, ample assessment of goals, expertise, and technical requirements is important.

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