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open-source FinOps tools
Building FinOps With k0rdent Open Source
Learn how open-source k0rdent and KOF enable platform teams to build custom FinOps solutions with predictive cost forecasting and real-time savings insights ...
Satyam Bhardwaj
|
October 9, 2025
|
AI-driven FinOps
,
cloud cost optimization
,
cloud financial management
,
cloud utilization optimization
,
cloud-native FinOps framework
,
cluster cost reduction
,
FinOps Agent
,
FinOps pipeline
,
Grafana dashboards
,
idle resource detection
,
k0rdent
,
k0rdent MultiClusterService
,
KOF
,
Kubernetes automation
,
Kubernetes cost visibility
,
Kubernetes FinOps
,
Kubernetes monitoring
,
Kubernetes observability
,
Kubernetes scalability
,
multi-cluster Kubernetes management
,
open-source FinOps tools
,
OpenTelemetry
,
predictive cost forecasting
,
Prometheus metrics
,
time series forecasting
,
TOTO model
×
Exploring Trends in Mainframe Application Modernization
Step
1
of
8
12%
What is your organization’s primary approach to modernizing mainframe applications?
(Required)
Converting entire applications from traditional mainframe languages to a modern language such as Java
Selective modernization of specific modules or components
Building modular architecture from existing monolithic applications
Maintaining applications with improved documentation and understanding
We do not utilize mainframes at my organization
Does your organization currently have an application modernization initiative in place?
(Required)
Yes
No
Don't Know
What TWO factors MOST OFTEN drive your organization’s decisions to modernize specific mainframe modules? (Select up to 2 responses)
(Required)
Process optimization needs
Technical debt reduction
Cost reduction goals (MIPS, licensing, etc.)
Changing business rules or requirements
Skills/talent gap concerns
High frequency of updates
High frequency of maintenance
Other
What strategies does your organization use for mainframe code transformation?
(Required)
Maintain and document original mainframe code (COBOL, PL/I, Assembler, JCL, REXX)
Convert mainframe languages to Java or other modern languages
Refactor code into modular, reusable components
Maintain parallel versions (original and converted) for validation
Use AI-powered tools for code documentation and understanding
Use AI-powered tools for code conversion
Other
What is your organization's strategic direction for mainframe applications over the next 3-5 years?
(Required)
Mainframe-first: Keep applications on mainframe as a strategic platform, modernize in place
Cloud-first: Migrate applications from mainframe to cloud platforms
Fit-for-purpose hybrid: Place each workload on the most suitable platform (mainframe, cloud, or distributed)
Evaluating options / No defined strategy yet
Other
What factors MOST influence your organization's platform decisions for mainframe applications? (Select up to 2 responses)
(Required)
Security and compliance requirements
Performance and scalability requirements
Cost optimization
Skills availability and talent access
Integration with modern applications and APIs
Business continuity and risk management
Other
What are the TOP TWO benefits your organization expects from mainframe modernization? (Select up to 2 responses)
(Required)
Faster innovation and time-to-market
Better understanding of business logic and code documentation
Reduced costs (MIPS, maintenance, licensing)
Expanded talent pool and reduced skills gap
Improved system maintainability
Enhanced integration with modern systems
Other
How effective have AI-powered tools for code conversion been in your modernization efforts?
(Required)
Extremely effective
Very effective
Moderately effective
Slightly effective
Not at all effective
We do not use AI-powered tools
Δ
×
