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With the rise of cloud-first initiatives and pay-per-use systems, forecasting IT costs has become a challenge. It's easy to start small, but it's equally easy to get skyrocketing bills with little warning. FinOps is a discipline that tries to tackle these issues, by providing the framework to understand and optimize cloud costs in a more controlled manner. The Denodo Platform, being a middleware layer in charge of global data delivery, sits in a privileged position not only to help us understand where costs are coming from, but also to take action, manage, and reduce them.
Attend this session to learn:
- The importance of FinOps in a cloud architecture.
- How the Denodo Platform can help you collect and visualize key FinOps metrics to understand where your costs are coming from?
- What actions and controls the Denodo Platform offers to keep costs at bay.
5. 5
FinOps is a cultural practice. It’s
the way for teams to manage their
cloud costs, where everyone takes
ownership of their cloud usage
supported by a central best-practices
group
What is FinOps?
FinOps Foundation Technical Advisory Council
https://www.finops.org/introduction/what-is-finops/
“ Good idea.
But How?
6. 6
Why Denodo? - Embrace a distributed data landscape
Embrace a distributed data landscape
Embrace the fact that data resides in multiple locations or systems – on-
prem, hybrid, multi-cloud. All data needs to be managed with consistency
Use a logical approach to manage it
Consumers access data through a centralized semantic model,
decoupled from data location and physical schemas, that can enforce
security and governance requirements
6
Adopt AI to simplify and automate
Learn from usage and leverage Large Language Models to automate
tedious repetitive tasks
7. 7
3rd Party
Connectors
Data Science / Prep Tools
Why Denodo? – Extensive Technology Ecosystem Support
MDM & DQ Tools
Data Governance Tools
Cloud Service
Providers
Big Data/NoSQL Sources
HDInsight
BI & Reporting Tools
Data Modeling Tools
Security & Privacy
Traditional Data Sources
SaaS/Cloud Applications
Cloud Data Warehouses
API Management / ESB
8. 8
Why Denodo - FinOps support via a Logical Data Fabric Layer
Implementing a FinOps
program for data and
analytics requires data
that is best collected
from the logical data
fabric layer.
9. 9
Data Virtualization: The Foundation of a Logical Data Management
Architecture
Agile Data
Integration
Logical Data Abstraction
Smart Query
Acceleration
Advanced
Semantics
Automation &
Recommendation
Unified Security & Governance
Data Catalog
AI/ML
Hybrid/Multi-Cloud
Data Integration
Self-Service BI
Data Governance
3600 View of
Entities
FinOps
Data Science
Enterprise
Data Services
Data Fabric/Data
Mesh
6 Key Capabilities of Logical Data Management Differentiated Use Cases
10. 10
Inform: Logging and tracking queries and data transfers
Denodo
Platform
Warehouse
Mobile Apps
Operational
RDBMS
Data Source Traffic
• Cloud provider and region
• SQL statements
• Execution time
• Results row transferred
• Results size transferred
Marketing
Data Science
Notebooks
On-prem
tools
.
BI Tools
Operations
Data Science
Notebooks
On-prem
tools
.
BI Tools
Data Source Compute
• Database type and
technology
• SQL statements
• Execution time
• Estimated table scanned at
source
End user Query Traffic
• User name/ID
• Cloud provider and regions
• SQL statements
• Execution time
• Total rows count
• Total result transfer size
17. 17
• Denodo Platform can orchestrate and optimize the user
queries in multiple ways to reduce cloud cost
• The Denodo Query Optimizer was built from day one to
minimize compute and traffic and supports a wide variety
of optimization query control techniques
• Push Down Optimizations
• Intelligent Caching/Replication
• Smart Query Acceleration
• Query scope control
• All with minimum disruption to the end users!
Optimize & Operate: The Logical Layer to the Rescue
18. 18
• Intelligent Caching/Replication
• Use cache or alternative/cheaper compute technology
• Smart Query Acceleration
• Leverage pre-cached summary table
• Limit execution time or size of the result set
• E.g. Force query re-write to limit results time horizon
Optimize: Reduce Data Source and Table Scan Costs
20. 20
Why Denodo - Proven in Large Enterprise Scale Deployments
✓ 2,000+ APIs in production
using over 300+ data
sources
✓ 2+ Million queries/day
✓ 7 years in Production –
0 Downtime
✓ Deliver data 90% faster
E N T E R P R I S E –
A L L B U S I N E S S L I N E S
200k users (int. & ext.)
✓ 20k+ views / 1k+
sources / 1.5K+ services
✓ Logical data fabric for
enterprise governance &
security / 10 years in
✓ 1/6th time to build
compared to ETL
✓ Data services run 2X –
10X faster
N U C L E A R W E A P O N S
C O M P L E X
10 sites / 200k users
✓ 34K views – Inventory of
all data assets 100+
sources
✓ Single access layer
✓ 1K+ APIs in production
using over
✓ 6 years in Prod - 100%
ROI in first 2 years
✓ $1MM+ savings / year
E N T E R P R I S E – A N A LY T I C S
& R E P O R T I N G
50k users
✓ 2K+ Views - eliminated
1k+ point to point
connections
✓ 98% faster processing
- 1 day vs. 60 days
✓ 2 years in Production
✓ $40MM savings –
eliminating physical data
replication & storage
E N T E R P R I S E – S C A L E
D E P L O Y M E N T
21. 21
• Multi-cloud/Hybrid cloud and increasingly complex data landscape
is increasing the complexity of FinOps implementations
• A logical data fabric layer can simplify and accelerate the
implementation of FinOps initiative and strategies
• Start with a solid foundation that improve visibility in a robust and
scalable way!
Key Take Aways
22. 22
Next Steps
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www.denodo.com/TestDrive
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