Whitepaper 'FinOps and cost management for Kubernetes'

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Whitepapers

Hystax OptScale - the first FinOps and MLOps open source platform

Hystax as a company:

Founded in 2016, customers in 48 countries
Airbus, Nutanix, Orange, Nokia, DHL, Burger King are some of the customers

OptScale use cases

FinOps and cloud cost optimization

FinOps and cost management

Forecast and monitor IT infrastructure cost
Identify wastage and optimize IT expenses
Bring resource/application/service observability
IT asset management
Set TTL and budget constraints
Establish a long-term FinOps process by engaging engineering teams

OptScale vs cloud-native cost explorer

Cloud resource visibility and filtering across all the clouds, accounts, and regions
Dozens of optimization scenarios not supported by clouds, including one of the best rightsizing engines
Cost allocation not just by tags but other properties
Geo and network traffic map
TTL rules and budget constraints
FinOps: OptScale is built for engineers to be responsible for their cloud resources

Supported platforms

Cloud cost management vs FinOps

Cloud cost management

Focused on an IT guy who needs to chase R&D teams to tag and rightsize resources and remove unused
It reports to help in the short term in a few months, issues return
The R&D team is disconnected from the cost-saving process and has no responsibility

FinOps

Focused on the whole FinOps team, including engineers who generate the majority of costs
Builds a cost-saving long-term process by engaging and educating the team
IT guys are responsible for building best practices; engineers – for their resources and TTLs; OptScale – for educating teams and delivering the best practices

Hystax leads one of the biggest
FinOps and cloud cost management communities with 9K+ members

MLOps: ML/AI profiling and optimization

ML/AI profiling and optimization

ML/AI model training tracking and profiling, inside and outside metrics collection
Team performance and KPI transparency
Granular and straightforward optimization recommendations based on hardware and cloud nuances, rightsizing, and dozens of optimization scenarios
Runsets – a bunch of automated runs based on hardware recommendations and a defined hyperparameter set
MLFlow compatible, Spark integration
Minimal cloud cost for ML/AI experiments and development

ML/AI optimization recommendations

Utilizing Reserved/Spot Instances and Savings Plans
Rightsizing and instance family migration
Detecting CPU/IO and IOPS inconsistencies that data transformations can cause
Cross-regional traffic
Spark executors’ idle state
Run comparison based on the segment duration

IT environment management

Manage a list of IT environments, their health and availability
Book IT environments and organize shared usage
Track deploy history, review software versions
Resource planning via Jira, Slack or OptScale UI
Power management and cost optimization
Environment performance monitoring

Integrations

To run ML/AI or any workload with optimal performance and infrastructure cost with OptScale – a FinOps and MLOps open source platform, contact us today.

Environment access management

Traditional environment access management flow

Environment access management flow with OptScale

Temporary and revocable access with OptScale

OptScale controls access to internal workloads
Script or hook is invoked when a user requests access. The script to provide temporary access is owned by a company’s IT security team
When a user is done with workloads, another hook is invoked to revoke access
Audit logs are available
Script samples are available for a quick setup

Contacts

Email: [email protected]
Phone: +1 628 251 1280
Address: 1250 Borregas Avenue Sunnyvale, CA 94089

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Hystax OptScale - the first FinOps and MLOps open source platform

Hystax as a company:

OptScale use cases

Contacts

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