Whitepaper 'FinOps y gestión de costes para Kubernetes'
Considere darle a OptScale un Estrella en GitHub, es 100% de código abierto. Aumentaría su visibilidad ante los demás y aceleraría el desarrollo de productos. ¡Gracias!
Ebook 'De FinOps a estrategias comprobadas de gestión y optimización de costos en la nube'
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OptScale - FinOps
Descripción general de FinOps
Optimización de costos:
AWS
MS Azure
Nube de Google
Alibaba Cloud
Kubernetes
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OptScale - MLOps
Perfiles de ML/IA
Optimización de ML/IA
Perfilado de Big Data
PRECIOS DE ESCALA OPTICA
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Acura: migración a la nube
Descripción general
Cambio de plataforma de la base de datos
Migración a:
AWS
MS Azure
Nube de Google
Alibaba Cloud
VMware
OpenStack
KVM
Nube pública
Migración desde:
En la premisa
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Acura: recuperación ante desastres y respaldo en la nube
Descripción general
Migración a:
AWS
MS Azure
Nube de Google
Alibaba Cloud
VMware
OpenStack
KVM

Hystax OptScale Pricing

Select one of the tiers or contact us at [email protected] to assist you.

No credit card required for the free plan. 14-day trial period and 30-day money back guarantee for the Standard plan.

If you are an MSP or a distributor, please get in touch with us for available partner options at [email protected]

OptScale

Extra Packages

Basic

Free

Ideal for individuals and small startups
Standard
$90/mo per task, billed annually * $100/mo per task, billed monthly

Ideal for companies of any size focused on cloud cost optimization and regular MLOps tasks
Professional

Contact us to get a quote

Ideal for enterprise customers. Private deployment, priority support, special discounts
Basic
Standard
Professional
Limits per organization
 
 
 
Max. number of users
Maximum number of active users
10
unlimited
unlimited
Max. number of tasks
Maximum number of tasks
10
unlimited
unlimited
Max. number of datasets
Maximum number of datasets
50
unlimited
unlimited
Max. number of artifacts
Maximum number of artifacts
50
unlimited
unlimited
MLOps
 
 
 
ML/AI model and data engineering experiment profiling
Functionality to profile ML/AI model and data engineering experiments to identify bottlenecks
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ML performance and cost optimization
Recommendations to optimize ML/AI model and data engineering experiment performance and cost
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Seguimiento de experimentos
Tracking of hyperparameters and output metrics/artifacts for every experiment
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Runsets capability
Bulk run of experiments for hypertuning or other purposes
no support
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Spot instance recommendations
Recommendations to utilize Spot instances
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Reserved Instance and Saving Plans recommendations
Recommendations for Reserved Instance and Saving Plans
no support
no support
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Object storage usage profiling and optimization
Tracking and profiling object storage usage
no support
no support
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Integrations and API
 
 
 
Integrations with Jira, Jenkins
Plugins and modules to connect OptScale with Jira, Jenkins
no support
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Slack integration
Alerts and notifications sent to a slack channel or accounts of budget / resource owners
no support
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API availability
Access to Hystax OptScale RESTful API for automation scenarios
no support
no support
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Personalization
 
 
 
Custom domain
OptScale available at your domain
no support
no support
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Personal branding
Personal color scheme and logo
no support
no support
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Support and deployment
 
 
 
Soporte
Customer care SLAs and support hours
regular
9/5 support
24/7 priority support
Private deployment
Hystax OptScale private deployment in your account or premises
no support
no support