Kubernetes Well-Architected Review

Kubernetes Well-Architected is a framework that helps in learning the strategies & standards for architecting k8s, evaluating your k8s architecture against best practices, and improving overall security posture by lowering or mitigating any issues or risks.

Talk To Our Experts!

Make your Kubernetes production-ready

Kubernetes is complex and requires significant expertise to operate in a production-grade environment. As a one-size-fits-all approach can not fulfill the distinct requirements of a system, Successive helps you assess your current Kubernetes architecture against well-architected pillars of security, cost optimization, operational excellence, performance, and reliability. Running an enterprise-grade fleet of Kubernetes clusters requires embedding dozens of tools and open-source technologies together to achieve critical capabilities such as access management, configuration enforcement & drift management, and Kubernetes security policy management.

Is your Kubernetes Well-Architected?

Let our team assess the platform against well-architected framework and find areas of improvement in your deployed k8s architecture. Additionally, identify opportunities to reduce platform running costs, establish round-the-clock security, and streamline DevOps.

Kubernetes Infrastructure

Deep-dive workshops and tools-driven discovery for Kubernetes operations.

Kubernetes core architecture
Cluster components
Networking, Compute, & Storage
Cloud infrastructure
Cluster maintenance

Security

Well-architected security with 4C’s of cloud-native security principles.

Image and runtime security
Secrets and Certificate mgmt
Cluster and Cloud hardening
RBAC and Single SignOn
Security policy and governance

HA and Disaster Recovery

Check for built-in resiliency so that cluster can sustain operations despite disruptions.

Backup and Recovery
Disaster Recovery architecture
Failover and High Availability

Networking

Examine network policies for consistent, secure, and dependable performance.

CNI Plugins (awsvpc, flannel, Calico, etc.)
Cluster networking architecture
Service Discovery, DNS, Ingress
Service Mesh

Storage

Scan K8s applications for persistent storage to avoid disruption and stabilize system.

Container storage interface
PVC and storage classes
Storage architecture

CICD and Automation

Inspect the delivery cycle to establish a more robust CI/CD pipeline.

Container image build and registries
CI/CD Pipeline
GitOps review
Rollout and Rollback strategy

Monitoring and Logging

Test monitoring and logging systems for real-time debugging and lifecycle management.

Logging, Metrics, and Alerting
Review alerting architecture
Metrics Storage and Dashboards

Scalability and Performance

Make active architectural decisions and ensure cluster scale and deliver performance.

Autoscaling
Workload scaling
Cluster scaling

Cost Optimization

Assess unit economics with FinOps principles for cost management.

Assess cost with tool
Proper resource labeling
Choose right cloud instances
Proactive resource management

Our Approach

Engagement Details

Key Highlights

Successive Kubernetes SMEs will work your key stakeholders in engineering, operations and development groups through discovery workshops to understand your current state, business goals, and requirements for your target state Kubernetes architecture.
We will dive deep into core architecture, operational, security, reliability, sustainability and performance pillars to make sure your k8s deployments are well-architected.
Collect current spend metrics and cost savings goals. Gather security and compliance requirements if any.
Deep dive workshops and tools to perform discovery and capture data across various k8s components.
Develop comprehensive report to outline, High, Medium Low findings with actionable recommendations to get to a Well-Architected state.

Key Outcomes

Mitigate risks: Improved overall Kubernetes architecture and security posture by mitigating high and medium security issues before they impact your business.
Build and deliver faster: By reducing manual deployments, capacity management and by using automation CICD pipeline or GitOps, you can experiment and release software faster.
Learn K8s Best Practices: Make sure your teams are aware of best strategies & best practices for architecting Kubernetes that we have gained through reviewing many k8s architectures.
Well Architected Report: Kubernetes Well Architected report with High, Medium Low findings with actionable recommendations to get to a Well-Architected state.

Fill details to download PDF

Team with Diverse Set of Kubernetes Expertise

Case Studies

See what working with Successive looks like!

Successive Digital is a leading digital transformation company that delivers innovative and disruptive solutions to empower your digital presence. Leveraging the latest technology stacks, our expert developers create scalable and versatile softwares–where all your business operations can collaborate to provide a lasting experience to your customers.

Self-storage Facility Providers

Autonomous digital work orders and operations enabled through cloud-native apps

Media And Advertising Ecosystem

Built cloud-agnostic architecture with zero downtime deployment

Seamless Migration for UK based Solution Providers

Rebuilt cloud-based Drupal hosting solutions from EC2 to AWS Kubernetes clusters to achieve system scalability in seconds.

Want To Speak With Our Solution Experts?

Book a Meeting

Success Stories

Logics LLC, USA

We have been continually working with technology experts at Successive. I appreciate them looking at our infrastructure to provide suggestions and I’m very impressed with their growth in recent years.

Ben Van Zutphen
Founder & CEO

CRE Models, USA

We worked on our first project 6 years ago, our business invests in real estate technology companies and we use their services for all the subsidiary companies that we invest in. I highly recommend them for any requirement you may have in the technical world.

Mike Harris
Managing Director

EWP, USA

When we first got in touch with Successive, we were looking to develop a sophisticated search technology integrated with an AI software system. It was a highly complex project that required a lot of adroitness which is exactly what Successive provided us with.

Myles Levin
President

PlayBetr, USA

We have been delighted working with Successive Digital. They helped us achieve and exceed our business goals. From Laravel, Json, Node to any technology or feature, the team delivered extreme standardization, excellence, and streamlined automation. Thumbs up to Sid and his team.

Marvin Jones
Director

Frontier Precision, USA

The process of Successive Digital is extremely smooth and commendable. I loved the upfront communication, well-organized sprints and immersive documentation, especially the Redmine system, to track daily progress easily. We are looking forward to working with Successive on our upcoming projects too.

Chad Minteer
CEO

Display Now, USA

I am extremely grateful to Successive Digital for being a wonderful and strategic partner. The team promptly understood the concept, took daily mockups, presented a comprehensive set of specifications, turned them into designs and built a scalable solution. It’s been awesome working with you guys

Chris Dukich
Founder

Industry We Serve

Fintech

Healthcare

AgriTech

ISVs

Automotive

Legal

Logistics & Distribution

Travel & Hospitality

Media

Retail & Commerce

Frequently Asked Questions

When a kubernetes environment has everything it needs to serve traffic to real end users without human assistance, we consider it "production-ready."

A comprehensive assessment or evaluation of various components of kubernetes architecture, such as Scalability, Resource Management, Health Checks, Rollout & Rollback, Monitor & Log, Security, Configuration Management, Graceful Shutdown, and Backup & Disaster Recovery, allows you to identify misconfigurations within your system and remediation of that allows you achieve desired Kubernetes state.

Our Insights Into Digital Innovation

Why Data Engineering is the Backbone of Successful AI Implementation in Large Enterprises