
Kubeflow Part 6: Model and Data Observability
We are running a #Kubeflow series where we are sharing our experiences and thoughts on building a Kubeflow-based ML pipeline architecture for production use.
Simplified developer experience to deploy production grade apps to Kubernetes without all of its complexities
Developers can deploy their Workloads to Kubernetes without the need to learn Kubernetes. Gravity takes care of all the Kubernetes heavy lifting so that you can focus on your business.
Provision both Kubernetes resources and Cloud Services through a single platform and govern them centrally. Gravity provides you a single Control Plane to deal with both Kubernetes and Cloud.
Get a unified view of your Observability data in a single pane to troubleshoot issues faster. No more switching between multiple tools during a production issue.
Out of the box Security and Compliance for your Kubernetes infrastructure. Immediate insights into security & compliance violations.
Get real-time insights into your Kubernetes spends to continuously optimize your costs.
without |
with |
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Kubernetes Journey | Uncertain through Trial & Error | Safe & Predictable | Up & Running in 4 hours |
Adoption | Inconsistent across teams | Standardized & Consistent | |
DevOps Team | Large team of kubernetes experts | Minimal / 2-3 kubernetes experts | 70% Lower TCO |
DevOps Efforts | Silo-ed; Duplicated | Centralized; Lean | |
Developer Experience | Limited by DevOps Bandwidth | Self Service Platform | 80% Improved productivity |
Feature Release Cycles | Weekly / Monthly | Multiple times a day | Innovate like Unicorns |
DevOps Maturity | Monotonous, Repeated Efforts | Focus on SRE activities | Highest evolution of DevOps |
Cloud Integration | Many Weeks; Complex | 1-Click; In Minutes | |
Observability | Expensive; Bill Shocks | Predictable; Low Cost | 1/10th of Commercial Solutions |
Security & Compliance | Limited & Unmanagable | Central Governance Framework |
Fully automated production grade Kubernetes cluster provisioning that automatically configures clusters with Security, Scalability and Availability best practices. One click Kubernetes version upgrades that are pre-validated and assisted.
Clusters pre-configured with Service Mesh so that you can easily deploy your Microservices. Gravity provides a pluggable service mesh architecture with flexibility to deploy service mesh of your choice and supports advanced use cases such as Multi Cluster Service Mesh.
Scale your workloads based on either default metrics (CPU/Memory) or events from other sources. Gravity deeply integrates Keda that allows you to configure scaling based on various event sources such as Managed Cloud Services, Databases.
Gravity automatically provisions required Ingress components for your workloads, deploys TLS certificates and manages External DNS entries. You can perform Path, Host, Header based routing and weight based traffic splitting easily without writing any complex YAML definitions.
Identify any issues with your Microservices (including in-cluster ones) by performing API tests right from the browser. Send various types of HTTP requests to your Microservices and validate whether they are responding as expected.
Use a browser based shell to securely interact with your Kubernetes resources. Popular Kubernetes administrative tools such as Octant, ArgoCD, K9s are available out of the box. Bring in your favorite Kubernetes tool through a plug and play Tools onboarding architecture.
Gravity deeply integrates with Spot and On-demand Instances to meet your availability and cost goals. One click Scale-to-zero to terminate all nodes in your cluster when you don’t need them.
Gravity automatically integrates with your existing Identity Provider (Active Directory or any OpenId Connect provider). Invite users to specific Projects and restrict access to resources through Roles. Namespace scoped resources that provide clear isolation and permission boundaries.
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Gravity's Kubernetes Platform enabled a leading Internet of Things customer to rapidly scale and operate their infrastructure across multiple cloud providers. The team was also able to reduce their overall TCO by choosing a Kubernetes platform like Gravity that takes care of all the heavy lifting.
Gravity's Kubernetes Developer Platform enables this fast growing personal finance app to seamlessly migrate to Kubernetes with very minimal DevOps efforts. The team was able to rapidly roll out new features without dealing with Kubernetes complexities. By using Gravity's simplified and purpose built self service Kubernetes experience, they were able to focus on where it mattered the most - delivering great customer experiences.
We are running a #Kubeflow series where we are sharing our experiences and thoughts on building a Kubeflow-based ML pipeline architecture for production use.
We are running a #Kubeflow series where we are sharing our experiences and thoughts on building a Kubeflow-based ML pipeline architecture for production use.
We are running a #Kubeflow series where we are sharing our experiences and thoughts on building a Kubeflow-based ML pipeline architecture for production use.
We are running a #Kubeflow series where we are sharing our experiences and thoughts on building a Kubeflow-based ML pipeline architecture for production use.
We are running a #Kubeflow series where we are sharing our experiences and thoughts on building a Kubeflow-based ML pipeline architecture for production use.
We are running a #Kubeflow series where we are sharing our experiences and thoughts on building a Kubeflow-based ML pipeline architecture for production use.