
Cost Optimisation Techniques in AWS
AWS cost optimisation is not merely a financial exercise; it is a strategic imperative that demands a meticulous approach to extract maximum value from cloud i…
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AWS cost optimisation is not merely a financial exercise; it is a strategic imperative that demands a meticulous approach to extract maximum value from cloud i…
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Sales Force Automation Definition: SFA refers to any suite of software apps that initiates, automates, and optimizes the interface between sales representative…
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SFA and CRM both serve different but related set of use cases. The SFA is focused, as the name suggests, on sales process details. A CRM extends that sales pro…
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Curating raw data stored in one Amazon S3 bucket into curated data in another S3 bucket typically involves a series of data processing and transformation steps…
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AWS Glue: ETL (Extract, Transform, Load): Purpose: AWS Glue is primarily designed for ETL (Extract, Transform, Load) tasks. It helps in discovering, cataloging…
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Below is a common high-level architecture for a SaaS retail banking application on AWS (Amazon Web Services): User Interface Layer: Components: Amazon S3 for S…
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Summary of a Containerization and Kubernetes Deployment Strategy on AWS. A difficult area, which requires a lot of specialised skills and Agile processes to di…
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AWS offers 3 mature container services, based on your organisation’s level of comfort with container deployments, use cases and cost constraints. The 3 m…
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High level architectures will frame a project and lead to lower level designs and implementation roadmaps. Salesforce advocates the following 3 architectures a…
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In my opinion, AWS AI is behind what you will find on Azure and some other cloud platforms. It is an area that AWS needs to address. It does however offer tool…
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Salesforce CRM is extending into industry domains (eg Finance, slide summary below), Health, Manufacturing and other areas. The ‘core’ CRM platform…
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There are different varieties of AI. Predictive AI has been deployed for some 7 years, using machine learning models and algorithms to help predict and forecas…
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