August 2021 Summaries

AWS provides a broad array of cloud computing services to cater to diverse needs of users, including analytics, compute, containers, database, and machine learning services. AWS instances are virtual servers configured according to user specifications, with instance types defining parameters such as computing power, memory, and storage space. The most popular AWS services include Amazon Elasticsearch for data analysis, Amazon Elastic Cloud Compute (EC2) for computation needs, Amazon Elastic Container Service (ECS) for containerized applications, and Amazon Relational Database Service (RDS) for relational databases. Additionally, AWS offers serverless computing options like AWS Lambda and Fargate, as well as machine learning services such as Amazon SageMaker to support data analysis and model training. These services are designed to simplify cloud management, scalability, and security for users.

Establishing the right KPIs is crucial for measuring the success of a Cloud Center of Excellence (CCoE) as it drives agility, innovation, and competitiveness in cloud adoption. Ideal KPIs should be strategically relevant, quantifiable, and easily measurable to validate the company's cloud transformation model. These metrics can include financial KPIs such as on-premises vs cloud infrastructure costs, migration success, staffing issues or costs, and impact on customers and revenue; operational KPIs like cloud operations IT staffing costs, energy, floor space, air conditioning, miscellaneous, training costs, enablement requirements, and potential waste in cloud operations; business value KPIs such as cloud operations governance, performance and automation, education, and the impact of cloud operations on revenue and profit. A one-size-fits-all approach does not exist, and determining relevant KPIs depends on a company's organizational structure, commitment, culture, and goals for their CCoE.

AWS defines cloud computing as "the on-demand delivery of IT resources over the internet with pay-as-you-go pricing." Cloud computing offers a utility model where IT resources are available to users whenever, wherever, with a simple pay-as-you-go model. Cloud deployment refers to the infrastructure upon which cloud services are based and can be categorized into three types: public, private, and hybrid. Public cloud models provide scalability, savings, and ease of management, while private cloud models offer more security but are less scalable. Hybrid cloud models combine the benefits of both public and private clouds. Cloud services include Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Serverless Computing, and Software as a Service (SaaS). IaaS provides raw computing resources, PaaS offers development tools and business tools, Serverless Computing automates cloud infrastructure management, and SaaS delivers web-based applications over the internet. Cloud computing aims to offer an elegant solution to businesses' problems by providing flexible backend infrastructure without upfront CapEx investments, scalability, and agility to expand quickly and test new markets.

Flexible-term commitments for AWS, Azure, and Google Cloud, offered by Archera, provide savings on short-term cloud usage and enhance cloud resource management through features such as insured commitments, advanced reporting, and cost forecasting. The Cloud Center of Excellence (CCoE) is designed as a centralized team to govern cloud operations, optimize costs, and manage risk while encouraging company-wide adoption of best practices. Unlike the operational focus of FinOps, which emphasizes financial accountability and rate optimization, the CCoE is primarily consultative, supporting cloud strategy and transformation. Archera’s platform automates cloud resource management, mitigates risk, and offers solutions like automated assessments and savings plan management to improve cloud efficiency and competitiveness.