Are Your Cloud Costs BURSTING?

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 AI Adoption Data Growth
• 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

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:

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 indicatorsli
• 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 - Observability / Monitoring Automation
• Removing the dependency on on-prem Data Lake and legacy ELT/ETL tools - Cloud Modernization / Legacy Decommission
• Automation of Data pipelines to accelerate the data orchestration in the cloud - Data Engineering / Pipeline Automation
• Periodically review and monitoring of unused resources - Cost Optimization / Resource Governance
• Automated restart of services along with RCA - Incident Management / Auto-Healing
• Creation of runbooks for every issue which reduces the issue resolution time by 50% - Operational Efficiency / Knowledge Management