Capillary reduced ops tickets by 95%

“Our releases are fast. And with less developer time needed our teams can focus on building exciting features. We’ve saved countless hours and costs.”

Piyush K,
Chief Architect, Capillary Technologies,

Treebo reduced production issues by 70%

"With Facets, our staging environments look identical to production environments. So in case of production issues, we can be sure there are no infra drifts."

Kadam Jeet Jain,
Co-Founder & CTO, Treebo Hotels and Hotel Superhero.

GGX switched from AWS to GCP in 2 weeks

"Facets has radically changed our DevOps for the better. They did all the heavy lifting and saved us precious time and resources in our when we switched from AWS to GCP."

Kaustubh Bhoyar,
Head of engineering, GGX

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Application Orchestration

Karmada

A Kubernetes-native cluster scheduler and multi-cluster orchestration tool designed to manage applications and workloads across multiple Kubernetes clusters

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Summary

A Kubernetes-based multi-cluster orchestrator designed to manage and optimize workload distribution across multiple clusters. It provides a centralized control plane for deploying, scaling, and scheduling applications across diverse Kubernetes environments, including hybrid and multi-cloud setups. Karmada automates resource allocation, load balancing, and failover to ensure optimal performance and high availability for distributed applications. With its declarative approach and extensible architecture, Karmada simplifies the management of complex Kubernetes deployments, enabling organizations to efficiently leverage multi-cluster environments for improved scalability and resilience.

Key Features

  • Provides a centralized control plane for deploying, scaling, and scheduling applications across diverse Kubernetes environments.
  • You can automate your workload distribution, resource allocation, and load balancing across clusters to optimize application performance.
  • It supports deployment across hybrid and multi-cloud environments, enabling flexibility and scalability.
  • Karmada follows a declarative configuration approach, simplifying application deployment and management.

How does it work?

Real world example

Pros

  • Karmada simplifies the management of applications across multiple Kubernetes clusters, streamlining operations in complex environments.
  • It offers a centralized control plane for deploying and orchestrating applications, providing better visibility and control over distributed resources.
  • Karmada supports hybrid and multi-cloud deployments, allowing organizations to scale their applications across diverse infrastructure environments.
  • The platform adopts a declarative configuration model, making it easier to define and manage application deployments using Kubernetes resources.

Cons

  • Managing applications across multiple clusters introduces additional complexity, which may require additional resources and expertise to operate effectively.
  • Centralized control and orchestration may introduce overhead, impacting the overall performance and resource utilization of the platform.
  • Karmada's functionality heavily relies on the Kubernetes ecosystem, making it susceptible to changes and updates in Kubernetes APIs and components.

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Capillary reduced ops tickets by 95%

“Our releases are fast. And with less developer time needed our teams can focus on building exciting features. We’ve saved countless hours and costs.”

Piyush K,
Chief Architect, Capillary Technologies,

Treebo reduced production issues by 70%

"With Facets, our staging environments look identical to production environments. So in case of production issues, we can be sure there are no infra drifts."

Kadam Jeet Jain,
Co-Founder & CTO, Treebo Hotels and Hotel Superhero.

GGX switched from AWS to GCP in 2 weeks

"Facets has radically changed our DevOps for the better. They did all the heavy lifting and saved us precious time and resources in our when we switched from AWS to GCP."

Kaustubh Bhoyar,
Head of engineering, GGX

Trusted by companies to run production at scale

Capillary | FacetsMPL | FacetsTreebo | FacetsPurplle | Facets

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