CLOUD NATIVE ENGINEERING

Overview

Archie's take

Cloud Native Engineering from Wavelabs is best suited for organizations looking to modernize their infrastructure, accelerate digital transformation, or build scalable, resilient applications using cloud-native technologies. Its strengths lie in deep expertise with Kubernetes, microservices, and DevOps automation, making it a strong choice for businesses aiming to migrate legacy systems or launch new cloud-first products. However, the complexity and resource requirements mean it's not a plug-and-play solution—expect significant planning, skilled engineering involvement, and a higher upfront investment, especially for smaller teams. The value is clear for mid-market and enterprise organizations with ambitious cloud goals, but startups and small businesses may find the scope and cost overkill unless they're building highly technical products from day one.

Ideal Customer Fit

Company Size

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This information is provided by Archways for guidance purposes only. While we strive for accuracy, specific details may need to be confirmed with the vendor.

Small

Mid

Enterprise

Best for

•Enterprises migrating legacy applications to a microservices or Kubernetes-based architecture.
•Mid-sized tech companies launching new SaaS platforms that require high scalability and resilience.
•Organizations with complex DevOps needs looking to automate CI/CD pipelines and infrastructure management.

Other considerations

Support Complexity

Implementation is complex, often requiring custom architecture, deep cloud expertise, and close collaboration with engineering teams; onboarding can be lengthy and may involve significant change management.

Team Structure

Best suited for organizations with dedicated DevOps, cloud engineering, and software development teams; strong internal technical leadership is essential to maximize value.

Volume

Designed for high-scale environments—ideal for businesses expecting rapid growth, high transaction volumes, or global user bases; overkill for low-traffic or static workloads.

Snapshot

Use Case

Conversational support, onboarding, automation

Best for

SaaS, fintech, PLG, high inbound support

Team Size

5-500 agents

Support Channels

Chat, in-app, email, social

Pricing

Contact sales to get pricing information

CLOUD NATIVE ENGINEERING

Overview

Archie's take

Ideal Customer Fit

Company Size

Best for

Other considerations

Support Complexity

Team Structure

Volume

Snapshot

Use Case

Best for

Team Size

Support Channels

Pricing

FAQs

What cloud platforms does Cloud Native Engineering support?

How does Cloud Native Engineering handle legacy application modernization?

Can Cloud Native Engineering integrate with existing DevOps toolchains?

What security and compliance features are included?

Is Cloud Native Engineering suitable for greenfield (new) projects?

What is the typical implementation timeline?

How does Cloud Native Engineering support ongoing operations?

What makes Cloud Native Engineering different from standard cloud consulting?

Can Cloud Native Engineering help with cost optimization in the cloud?

What industries benefit most from Cloud Native Engineering?

Does Cloud Native Engineering support multi-cloud or hybrid cloud strategies?

What are the prerequisites for a successful Cloud Native Engineering engagement?