Whitepaper 'FinOps and cost management for Kubernetes'

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Ebook 'From FinOps to proven cloud cost management & optimization strategies'

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OptScale — FinOps

FinOps overview

Cost optimization:

AWS

MS Azure

Google Cloud

Alibaba Cloud

Kubernetes

OptScale — MLOps

ML/AI Profiling

ML/AI Optimization

Big Data Profiling

OPTSCALE PRICING

Acura — Cloud migration

Overview

Database replatforming

Migration to:

AWS

MS Azure

Google Cloud

Alibaba Cloud

VMWare

OpenStack

KVM

Public Cloud

Migration from:

On-premise

Acura — DR & cloud backup

Overview

Migration to:

AWS

MS Azure

Google Cloud

Alibaba Cloud

VMWare

OpenStack

KVM

Cloud usage and cost optimization should be everyone’s responsibility

Getting a cross-functional team on board is the foundation of cost management success and effective FinOps adoption

Hystax guides users on how to adopt the most successful collaboration practices

The collaboration of team leads, engineers and finance departments is a key to successful cloud cost management and cost optimization. As a matter of fact, it’s a critical step to create budgets for specific projects, features, epics, milestones or releases, keep cloud costs under control and detect cost anomalies for preventing unexpected expenses.

Each team member, as part of the FinOps process, is focused on building an effective cloud usage experience and is engaged in cloud cost optimization and cost-saving processes.

IT and finance team collaboration

Engaging engineering teams in cost savings and FinOps

Resource grouping and sharing

Everyone takes ownership of cloud resource usage

IT and finance team collaboration

Cross-functional teams streamline cloud cost transparency and optimization, and planning processes in the cloud. Collaboration is aimed at combining a set of such functions as financial analytics and control, budget and resource allocation, and implementing an effective cloud usage strategy.

Learn more about cloud cost optimization →

Engaging engineering teams in cost savings and FinOps

With OptScale, managers gain complete cloud cost transparency, remain on track, and take all cloud resources under their control. The engineers are engaged in FinOps and cost-saving processes via Slack. Flexible TTL rules for individual resources and budget constraints enable every team member to prevent unused cloud resources and reduce cloud bills.

Learn how to reduce your cloud bills →

Collaboration is an essential piece to enlisting effective FinOps adoption

Resource grouping and sharing

OptScale helps establish effective IT resource sharing and lifecycle management for a smooth FinOps adoption. Engineers can use the cloud resources created by any team member which are not being used at the moment. OptScale provides a mechanism to represent clusters, stacks, and jobs; but not with only individual resources. You can lease resources from their owners and pay only for the specific lease time. Acquire, release and schedule shared usage to optimize opportunities.

Learn more about multi-cloud resource filtering →

Everyone takes ownership over cloud resource usage

Via OptScale companies benefit from a FinOps process in which every member of the engineering team takes responsibility for the cloud resources they use, and finance issues resulting in successful cost savings and cloud cost optimization. This makes it progressively easier to maintain cloud usage control, eliminate waste and expenses, and successfully adopt FinOps.

News & Reports

FinOps and MLOps

A full description of OptScale as a FinOps and MLOps open source platform to optimize cloud workload performance and infrastructure cost. Cloud cost optimization, VM rightsizing, PaaS instrumentation, S3 duplicate finder, RI/SP usage, anomaly detection, + AI developer tools for optimal cloud utilization.

FinOps, cloud cost optimization and security

Discover our best practices:

How to release Elastic IPs on Amazon EC2
Detect incorrectly stopped MS Azure VMs
Reduce your AWS bill by eliminating orphaned and unused disk snapshots
And much more deep insights

Optimize RI/SP usage for ML/AI teams with OptScale

Find out how to:

see RI/SP coverage
get recommendations for optimal RI/SP usage
enhance RI/SP utilization by ML/AI teams with OptScale

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