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Optimizing Medication Management: How AWS ETL Transforms Healthcare Data for a Leading PBM

Perficient

Regulatory Compliance Obligations Healthcare must comply with various laws and regulations, for example, HIPPA, which makes it essential that the systems, vendors, and processes managing the sensitive data are also compliant. Organized Data Storage AWS S3 (Simple Storage Service) stores the structured, unstructured, or semi-structured data.

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Third Party Optimization Tools Over AWS Native Tools ?

Hypergrid

On AWS for example, cost control and security/compliance management are the two major issues that come up when operating at scale. Monitor all 3 primitives (1x EC2 Policy, 1x EC2 Role, 1x Bucket Policy) to ensure compliance with security policy. Using Native AWS Tools. So why use third party tools ?

AWS 40
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Third Party Optimization Tools v. AWS Native Tools

Hypergrid

On AWS for example, cost control and security/compliance management are the two major issues that come up when operating at scale. Monitor all 3 primitives (1x EC2 Policy, 1x EC2 Role, 1x Bucket Policy) to ensure compliance with security policy. Using Native AWS Tools. So why use third party tools ?

AWS 40
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Modernizing on AWS: Strategies, Benefits, and Partnerships with Xebia

Xebia

Cloud modernization has become a prominent topic for organizations, and AWS plays a crucial role in helping them modernize their IT infrastructure, applications, and services. Overall, discussions on AWS modernization are focused on security, faster releases, efficiency, and steps towards GenAI and improved innovation.

AWS 130
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Lets Cloud. Smarter. (Huh, What?!) – A deeper look into HyperCloud 6.0

Hypergrid

Support for AWS Lambda. AWS Lambda is the leading Serverless or Function-as-a-service (FaaS) service, and it gives amazing productivity and agility to developers without having to provision or monitoring any underlying infrastructure. Compliance Analysis and Remediation. HyperCloud 6.0 Enhanced Automation.

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Cloud Computing Trends and Innovations

Apiumhub

Implementation: Using edge computing frameworks like AWS IoT Greengrass or Azure IoT Edge to deploy machine learning models directly on edge devices for real-time data analysis. Implementation: Deploying functions using AWS Lambda, triggered by events, eliminating the need for managing servers and allowing developers to focus on writing code.

Trends 52
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Question the Current Dogma — Is Kubernetes Hyper-Scale Necessary for Everyone?

Stackery

Moving to Kubernetes and containers is about de-coupling applications and making them more agile. The most well-known example of serverless today is the AWS Lambda service., Hiring more people to manage and understand unnecessary plumbing doesn’t make sense.