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Are Your Cloud Costs BURSTING?

Co-Authors:

https://modak.com/wp-content/uploads/2022/07/MicrosoftTeams-image-160x160.jpg
Vishrut Mishra
Site Reliability Engineer Lead at Modak
https://modak.com/wp-content/uploads/2022/04/Author-Name-Devesh-Salvi-160x160.jpg
Devesh Salvi
Product Analyst at Modak
The promise of cloud computing is to provide pay-as-you-go pricing and large-scale computing and storage infrastructures that scale on-demand. As Enterprises accelerate their journey to the Cloud to process more and more data, the IT operational (OPEX) costs are skyrocketing, mainly driven by:



  • Increasing AI and machine learning workloads fuelled by more data
  • Need to process and store any type of data to feed AI models with structured and unstructured data
  • Increasing complexity of managing large-scale compute and data platforms on the cloud
  • Cloud provider services to drive adoption and innovation but locks-in customer data and workloads with unforeseen costs at scale
  • Lack of cloud operational expertise to manage and optimize cloud infrastructure and cost
  • Regulations and compliance mandates to retain data for auditability purposes
  • The financially driven to shut down legacy on-prem data centres, to realize immediate cost savings without a clear and cohesive hybrid cloud strategy.
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As such, IT departments are struggling to manage their Cloud costs and are re-thinking their approach to a Cloud-first strategy and how to optimize IT budgets by leveraging investments in existing on-prem data centers. CIOs and CDOs are now re-framing their approach by moving to a multi-cloud and hybrid cloud architecture to provide:
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A modern data platform that inherently includes a multi-hybrid cloud strategy requires interoperability and security to enable the orchestration of data to the cloud.

Modak Nabu™ is an integrated data engineering software platform that allows enterprises to operate on any cloud provider and manage data from on-prem data sources and applications. Modak Nabu™ empowers enterprises to successfully execute multi and hybrid cloud strategies.
Case Study:

Background:

A Top 5 US Healthcare Insurance provider, with 90k+ employees, has adopted a Cloud 3.0 strategy with multi-cloud providers and a hybrid cloud.


Challenges:

The client was struggling in their cloud data migration journey with Legacy ETL tools and on-premises Data Lake. Additionally, they were finding it challenging to control the costs of cloud operations due to a lack of visibility of cloud resource usage. The absence of proactive monitoring and alerting services was leading to cloud resource wastage.

The client faced the following challenges-

  • Manual processes and the absence of automation for data operations
  • Unclear of service level objectives and indicators
  • Dependency on on-prem data lake and ETL tools impacting the speed of data orchestration and migration
  • Higher data processing time with existing infrastructure


Solution:
After evaluating incumbents, third-party software, and cloud provider tools the company selected Modak Nabu™, a data engineering platform that accelerates the ingestion, profiling, and migration of data to any cloud provider.

Modak Nabu™ accelerated clients’ cloud migration journey and reduced cloud costs by-

  • Automated creation of monitoring dashboards
  • Removing the dependency on on-prem Data Lake and legacy ELT/ETL tools
  • Automation of Data pipelines to accelerate the data orchestration in the cloud
  • Periodically review and monitoring of unused resources
  • Automated restart of services along with RCA
  • Creation of runbooks for every issue which reduces the issue resolution time by 50%
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Impact:

With Modak Nabu™ the enterprise client implemented Cloud 3.0- a Hybrid/Multi-cloud strategy and accelerated the data movement workflow from on-prem to the cloud. Modak Nabu™ optimized cloud operation costs and improved data operations and services.


A Top 5 US Healthcare Insurance provider recognized the following benefits:

  • Cost optimization: Savings of 65% by removing unused resources from cloud providers' infrastructure
  • Real-time Monitoring of all data engineering service
  • Average data processing time was improved by 85% from hours to minutes
  • Eliminated the dependency on legacy ELT/ETL tools
  • Proactive alerting results in quicker issues resolution
  • Saved time and resources by Automated Data operation
  • Resolved 95%+ issues within SLA with SLI and SLO monitoring


To know more about Modak Nabu™: https://modak.com/modak-nabu-solution

About Modak

Modak is a solutions company that enables enterprises to manage and utilize their data landscape effectively. We provide technology, cloud, and vendor-agnostic software and services to accelerate data migration initiatives. We use machine learning (ML) techniques to transform how structured and unstructured data is prepared, consumed, and shared.

Modak’s portfolio of Data Engineering Studio provides best-in-class delivery services, managed data operations, enterprise data lake, data mesh, data fabric, augmented data preparation, data quality, and governed data lake solutions.

Modak Nabu™

Modak Nabu™ enables enterprises to automate data ingestion, curation, and consumption processes at a petabyte-scale. Modak Nabu™ empowers tomorrow's smart enterprises to create repeatable and scalable business data domain products that improve the efficiency and effectiveness of business users, data scientists, and BI analysts in finding the appropriate data, at the right time, and in the right context.

Co-Authors:

https://modak.com/wp-content/uploads/2022/07/MicrosoftTeams-image-160x160.jpg
Vishrut Mishra
Site Reliability Engineer Lead at Modak
https://modak.com/wp-content/uploads/2022/04/Author-Name-Devesh-Salvi-160x160.jpg
Devesh Salvi
Product Analyst at Modak
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