AWS Management & Governance Blog

Category: AWS Service Catalog

Enabling experimentation and innovation in the cloud at SulAmérica Seguros

SulAmérica Seguros is Brazil’s largest independent insurer. The company offers one-stop shopping with a diversified business offering (healthcare; auto insurance; life insurance; pension plans; savings bonds; and asset management). Founded in 1895, SulAmérica is Brazil’s: Third largest insurer in the healthcare and dental market Fifth largest in the auto insurance market Ninth largest in the […]

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How to Detect and Mitigate Guardrail Violation with AWS Control Tower

Many companies that I work with would like to innovate fast in the cloud by adopting a self-service infrastructure provisioning model in a multi-account environment. However, maintaining security and governance in such a model is an organizational challenge. Without structured guardrails and baseline configuration enforcement, troubleshooting and mitigating risk can be cumbersome. AWS Control Tower […]

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Enabling self-service provisioning of AWS resources with AWS Control Tower

Customers provision new accounts in AWS Control Tower whenever they are on-boarding new business units or setting up application workloads. In some cases, organizations also want their cloud users, developers, and data scientists to deploy self-service standardized and secure patterns and architectures with the new account. Here are a few examples: A developer or cloud […]

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How to self-service manage AWS Auto Scaling groups and Amazon Redshift with AWS Service Catalog Service Actions

Some of the customers I work with provide AWS Service Catalog products to their end-users to enable self-service for launching and managing Amazon Redshift, EMR clusters or web applications at scale using AWS Auto Scaling groups. These end-users would like the ability to self-manage these resources, for example, be able to take a snapshot of […]

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Enhancing configuration management at Verizon using AWS Systems Manager

In large enterprise organizations, it’s challenging to maintain standardization across environments. This is especially true if these environments are provisioned in a self-service manner—and even more so when new users access these provisioning services. In this post, I describe how we at Verizon found a balance operating between agility, governance, and standardization for our AWS […]

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Creating and hydrating self-service data lakes with AWS Service Catalog

Organizations are evolving IT processes to include data lakes and supporting services. Your organization might start by looking to extend the self-service portals you built using AWS Service Catalog to create data lakes as well. A self-service portal lets users vend required AWS resources within the guardrails defined by your cloud center of excellence (CCOE) […]

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Automating life-cycle management for ephemeral resources using AWS Service Catalog

Enterprises deploy AWS resources and services daily to support different business objectives. For example: A data scientist might like to create an EMR cluster for a job that should not take longer than one week. A sales engineer needs a demo environment for two days. A marketing application owner wants a marketing application to run […]

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Tracking software licenses with AWS Service Catalog and AWS Step Functions

Enterprises have many business requirements for tracking how software product licenses are used in their organization for financial, governance, and compliance reasons. By tracking license usage, organizations can stay within budget, track expenditures, and avoid unplanned true-up bills from their vendors’ true-up processes. The goal is to track the usage licenses as resources are deployed. […]

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Standardizing infrastructure delivery in distributed environments using AWS Service Catalog

A common security design pattern and best practice among many of our enterprise customers is to provide application isolation through the adoption of a multi-account strategy. Many customers choose to create individual AWS accounts based on software development lifecycle (SDLC) phases such as Development (Dev), Quality Assurance (QA), and Production (Prod), to provide complete separation […]

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Enable self-service, secured data science using Amazon SageMaker notebooks and AWS Service Catalog

by Sanjay Garje and Vebhhav (Veb) Singh Enterprises of all sizes are moving to the AWS Cloud. We hear from leadership of those enterprise teams that they are looking to provide a safe, cost-governed way to provide easy access to Amazon SageMaker to promote experimentation with data science to unlock new business opportunities and disrupt […]

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