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What is Spot Ocean?

Spot Ocean allows users to take full advantage of Kubernetes, minimizing worries related to infrastructure management and providing better visibility into cluster operations, all while significantly reducing costs. An essential question arises regarding how to effectively manage containers without the operational demands of overseeing the associated virtual machines, all while taking advantage of the cost-saving opportunities presented by Spot Instances and multi-cloud approaches. To tackle this issue, Spot Ocean functions within a "Serverless" model, skillfully managing containers through an abstraction layer over virtual machines, which enables the deployment of Kubernetes clusters without the complications of VM oversight. Additionally, Ocean employs a variety of compute purchasing methods, including Reserved and Spot instance pricing, and can smoothly switch to On-Demand instances when necessary, resulting in an impressive 80% decrease in infrastructure costs. As a Serverless Compute Engine, Spot Ocean simplifies the tasks related to provisioning, auto-scaling, and managing worker nodes in Kubernetes clusters, empowering developers to concentrate on application development rather than infrastructure management. This cutting-edge approach not only boosts operational efficiency but also allows organizations to refine their cloud expenditure while ensuring strong performance and scalability, leading to a more agile and cost-effective development environment.

What is AWS Auto Scaling?

AWS Auto Scaling is a service that consistently observes your applications and automatically modifies resource capacity to maintain steady performance while reducing expenses. This platform facilitates rapid and simple scaling of applications across multiple resources and services within a matter of minutes. It boasts a user-friendly interface that allows users to develop scaling plans for various resources, such as Amazon EC2 instances, Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, and Amazon Aurora Replicas. By providing customized recommendations, AWS Auto Scaling simplifies the task of enhancing both performance and cost-effectiveness, allowing users to strike a balance between the two. Additionally, if you are employing Amazon EC2 Auto Scaling for your EC2 instances, you can effortlessly integrate it with AWS Auto Scaling to broaden scalability across other AWS services. This integration guarantees that your applications are always provisioned with the necessary resources exactly when required. Ultimately, AWS Auto Scaling enables developers to prioritize the creation of their applications without the burden of managing infrastructure requirements, thus fostering innovation and efficiency in their projects. By minimizing operational complexities, it allows teams to focus more on delivering value and enhancing user experiences.

Media

Media

Integrations Supported

Amazon Aurora
Amazon CloudWatch
Amazon DynamoDB
Amazon EC2
Amazon Elastic Container Service (Amazon ECS)
Amazon Fresh
Amazon Web Services (AWS)
Ant Media Server
Beats
EC2 Spot
Ease Stream
Jeeva eClinical Cloud
Kubernetes
New Relic
Observe
RadiantOne
Spot by NetApp
Suntek Reporting
Sweven
WebLOAD

Integrations Supported

Amazon Aurora
Amazon CloudWatch
Amazon DynamoDB
Amazon EC2
Amazon Elastic Container Service (Amazon ECS)
Amazon Fresh
Amazon Web Services (AWS)
Ant Media Server
Beats
EC2 Spot
Ease Stream
Jeeva eClinical Cloud
Kubernetes
New Relic
Observe
RadiantOne
Spot by NetApp
Suntek Reporting
Sweven
WebLOAD

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Spot by NetApp

Date Founded

2015

Company Location

United States

Company Website

spot.io/product/ocean/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/autoscaling/

Categories and Features

Cloud Management

Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval

Container Management

Access Control
Application Development
Automatic Scaling
Build Automation
Container Health Management
Container Storage
Deployment Automation
File Isolation
Hybrid Deployments
Network Isolation
Orchestration
Shared File Systems
Version Control
Virtualization

Infrastructure-as-a-Service (IaaS)

Analytics / Reporting
Configuration Management
Data Migration
Data Security
Load Balancing
Log Access
Network Monitoring
Performance Monitoring
SLA Monitoring

Server Management

CPU Monitoring
Credential Management
Database Servers
Email Monitoring
Event Logs
History Tracking
Patch Management
Scheduling
User Activity Monitoring
Virtual Machine Monitoring

Serverless

API Proxy
Application Integration
Data Stores
Developer Tooling
Orchestration
Reporting / Analytics
Serverless Computing
Storage

Categories and Features

Server Management

CPU Monitoring
Credential Management
Database Servers
Email Monitoring
Event Logs
History Tracking
Patch Management
Scheduling
User Activity Monitoring
Virtual Machine Monitoring

Server Virtualization

Audit Management
Health Monitoring
Live Machine Migration
Multi-OS Virtual Machines
Patching / Backup
Performance Log
Performance Optimization
Rapid Provisioning
Security Management
Type 1 / Type 2 Hypervisor

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