FinOps-Optimized Informatica
Advanced Cloud Data Integration

Optimize Cloud Costs With AI-Powered, FinOps-Enabled
Data Integration
Organizations across multiple industries have made massive investments incloud computing to drive their digital transformation initiatives to stay relevant
in a competitive market. For example, banks have deployed new cloud-based
mobile applications. Retailers have launched cloud commerce platforms. And
healthcare organizations have moved records management to the cloud.
However, according to recent research from McKinsey & Company, only 15% oforganizations can establish a clear relationship between their cloud investments
and business value delivery.1 Instead of saving costs by moving to the cloud — asexpected — organizations are experiencing cost overruns. Plus, there is a lackof visibility into and predictability of what cloud resources are being consumed.
The absence of governance and controls can lead to cost overages for data andanalytics leaders using cloud data management solutions.
Not to mention, data democratization has empowered data consumers topurchase cloud resources without checking with IT or procurement. This canresult in wasted resources that can add up to tens of thousands — or evenmillions — of dollars every year. This is not a path to success, especially in today’s
budget-constrained culture. We can help.
Cloud financial operations, or FinOps, is a financial management practice thathelps organizations get more business value from cloud investments, particularly
for data management. FinOps helps organizations avoid cost overruns andgovern the total cost of ownership (TCO) across the entire software development
lifecycle, from development to production.
Let’s explore how our FinOps-powered data management can help organizations
optimize costs.
¹ https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-finops-way-how-toavoid-the-pitfalls-to-realizing-clouds-value

Key Benefits
y Reduce TCO by providing
insights on data
integration workloads
y Get visibility into
advanced cloud data
integration clusters
y Improve developer
productivity with a simple
code-free development
experiencey Scale data engineering
workloads in a cost
performant mannery Build virtually any dataengineering pipeline withaccess to 300+ out-ofthe-box connectors

FinOps-Optimized Informatica Advanced Cloud Data Integration

Key Features
Optimize, Govern and Control Cloud Data Management Costs with Informatica FinOps-Enabled
Data Management Cloud
Informatica Intelligent Data Management Cloud™ (IDMC) is the industry's first and most comprehensive
data management solution, powered by CLAIRE®, our AI engine. We have integrated FinOps capabilities into
IDMC in each phase of the software development lifecycle established by The FinOps Foundation: inform,optimize and operate. By phase, let’s walk through the FinOps features Informatica brings to the table.

Figure 1. Informatica offers FinOps capabilities in IDMC.

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Inform Phase: The inform phase centers on providing visibility for all stakeholders on what kind ofworkloads are running in the cloud and their associated costs. Transparency into how cloud resources arebeing consumed is foundational to business value realization. Below are the inform phase capabilities built
into IDMC that provide visibility for creating shared accountability:y Summary of flexible, consumption-based pricing on a per-service basis in IDMC
y Summary of the overall cloud infrastructure cost saved due to intelligent optimizations provided by ourCLAIRE AI engine
y Ability to view and monitor individual cluster cost graphs over a period of time
y Ability to set alerts and obtain telemetry data in production using our Operational Insights for services
used on IDMC
Optimize Phase: The optimize phase revolves around forecasting and planning cloud use to reduce costs
and maximize business value. This includes reducing both over- and under-utilization of current resources,
as well as modeling the need for new resources based on business projections. Below are the optimizephase capabilities built into IDMC that identify opportunities to improve efficiency and the associated value:y Ability to set a budget so that the overall cloud infrastructure cost incurred due to advanced clusters
does not exceed budget
y Ability for data engineers to fine-tune data pipelines for cost and performance using CLAIRE’s active
auto-tuningy Access to the dynamic scale out and scale in of nodes in the cluster based on workload characteristics
with advanced cluster auto-scaling
Operate Phase: The operate phase focuses on the day-to-day activities required to manage and govern
cloud infrastructure. This helps you better understand how to utilize various levers like scheduling, autoscaling, reservations and spot instances, as well as reducing data transfer and exchange.
These levers, combined with guardrails for lean and automated provisioning, can help you improve thevalue realized from your cloud resources. Below are the operate phase capabilities built into IDMC thatdefine and implement processes to achieve these needs:
y Ability for data engineers to schedule jobs based on priority and expected overall execution time socloud resources are utilized for the most business-critical workloads at virtually any given point in timey Design time insights and recommendations based on CLAIRE’s intelligence to help decide the bestengine to schedule jobs for cost and performance needs (i.e., extract, transform, load [ETL] vs. extract,load, transform [ELT])y Cost and performance-based CLAIRE recommendations during runtime to fine-tune clusters to ensure
the highest ROI from cloud infrastructure

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FinOps-Optimized Informatica Advanced Cloud Data Integration

Key Benefits
How Informatica Advanced Cloud Data Integration Supports FinOps
With FinOps-optimized Informatica Advanced Cloud Data Integration, a service of IDMC, data engineersand developers can use a single, simple, unified no-code canvas for virtually all their data integrationand data engineering needs in a cost-performant manner. Let’s walk through the benefits of Informatica
Advanced Cloud Data Integration, which can help organizations optimize data engineering costs andimprove developer productivity.
1. Informatica Advanced Cloud Data Integration spins up advanced clusters for handling data engineering
pipelines and workloads. With the FinOps feature, infrastructure cost budgeting for these clusters isprovided upfront. This helps ensure that the clusters used for data integration jobs do not exceed yourinfrastructure cost quotas.

Figure 2. Cloud infrastructure cost budgeting helps ensure data engineering workloads run efficiently.

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FinOps-Optimized Informatica Advanced Cloud Data Integration

2. The Infrastructure Administrator is provided with a FinOps report powered by CLAIRE, our AI-powered
metadata engine. Based on CLAIRE intelligence, it captures a clear breakdown of how Informatica
Advanced Cloud Data Integration can help save on cloud infrastructure costs.

Figure 3. Optimize cloud infrastructure costs with CLAIRE-powered FinOps reporting.

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FinOps-Optimized Informatica Advanced Cloud Data Integration

3. With the FinOps feature, your priority and desired SLAs are supported for individual Informatica
Advanced Cloud Data Integration jobs. This is based on business criticality and helps ensure intelligent
scheduling of jobs to meet SLAs.

Figure 4. Smart scheduling of jobs based on priority helps ensure workloads meet business outcomes.

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FinOps-Optimized Informatica Advanced Cloud Data Integration

4. As part of the FinOps feature, CLAIRE-based recommendations on runtime engines are provided toenable data engineers to schedule an Informatica Advanced Cloud Data Integration job in a costperformant manner.

Figure 5. Experience CLAIRE-based runtime engine recommendations for scheduling data engineering jobs.

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FinOps-Optimized Informatica Advanced Cloud Data Integration

5. Runtime CLAIRE-based recommendations for the clusters help ensure that the cluster is optimized forcost and performance at virtually all times to handle just about any workload.

Figure 6. Improve performance and optimize costs with CLAIRE-based recommendations for jobs and clusters.

Figure 7. Example of a recommendation for the individual Informatica Advanced Cloud Data Integration job.

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FinOps-Optimized Informatica Advanced Cloud Data Integration

Uncover Deep Savings With FinOps-Optimized Informatica Advanced
Cloud Data Integration
Identify cost savings, improve productivity and scale data engineering projects byinfusing AI-powered FinOps into the data engineering and data integration process.
Start building your data engineering pipelines in a cost-performant manner with afree, 60-day trial of Informatica Advanced Cloud Data Integration.

Informatica (NYSE: INFA) brings data and AI to life by empowering businesses to realize
the transformative power of their most critical assets. When properly unlocked, data
becomes a living and trusted resource that is democratized across your organization,
turning chaos into clarity. Through the Informatica Intelligent Data Management Cloud™,
companies are breathing life into their data to drive bigger ideas, create improved
processes, and reduce costs. Powered by CLAIRE®, our AI engine, it’s the only cloud
dedicated to managing data of any type, pattern, complexity, or workload across anylocation — all on a single platform.   
IN06-4665-1023© Copyright Informatica LLC 2023. Informatica and the Informatica logo are trademarks or registered trademarks ofInformatica LLC in the United States and other countries. A current list of Informatica trademarks is available on theweb at https://www.informatica.com/trademarks.html. Other company and product names may be trade names ortrademarks of their respective owners. The information in this documentation is subject to change without noticeand provided “AS IS” without warranty of any kind, express or implied.