Outposts is used for customers who want a closed environment. Even though AWS is a public cloud service, customers sometimes want AWS services in a private cloud setup. In such cases, we propose Outposts.
At my company, we primarily use Outposts for sharing and running jobs on VMware. We offload operational workloads to the Outposts environment. All of our services need to be compatible with AWS Outposts. This gives us more data center capacity and allows us to manage database solutions locally. One of the challenges we faced when moving to Outposts was that we had a separate rule or policy in the catalog. Because of this, we had to migrate all our previously created jobs from other regions in order to run them on Outposts.
There are two crucial aspects that stand out when we talk about the use cases of AWS Outposts. First, the seamless and simplified process of migrating on-premises applications with their local dependencies to the cloud is a significant advantage. Second, the low latency it offers is a game-changer, especially in high-frequency businesses like trading or manufacturing setups.
When it comes to use cases, we break down customer requirements into various scenarios and aim to achieve them using the SaaS platform. Our use cases are primarily driven by the specific needs of each customer, which are project-dependent. For instance, certain projects may revolve around managing data for a waterboard or similar organizations, where content storage and accessibility are crucial. In such cases, we utilize public cloud solutions to store and publish content to different applications that need to be made public. Where public accessibility is required, we employ public cloud resources, often allowing read-only access to the content. However, in some instances, where customers need in-depth technical information about functional devices, we provide restricted user access through AD integration. This involves creating applications on the SaaS platform and establishing access control rules. Regarding data storage, we ensure that data is stored in compliance with geographical regulations. For example, in European regions, data is stored within the European VPN for data protection and compliance. In cases where data confidentiality is paramount, customers opt for solutions like Azure Stack.
We work for many customers but we have used the solution in two big deals involving financial services and retail. We moved the data of both customers from on-premise to the cloud with a lift and shift using Azure and AWS Outposts. We expanded the projects over a year and a half, and we used the solution to save around 30% of our customer operations costs with both customers.
AWS Outposts bring native AWS services, infrastructure, and operating models to virtually any data center, co-location space, or on-premises facility. You can use the same APIs, the same tools, the same hardware, and the same functionality across on-premises and the cloud to deliver a truly consistent hybrid experience. Outposts can be used to support workloads that need to remain on-premises due to low latency or local data processing needs.
Outposts is used for customers who want a closed environment. Even though AWS is a public cloud service, customers sometimes want AWS services in a private cloud setup. In such cases, we propose Outposts.
At my company, we primarily use Outposts for sharing and running jobs on VMware. We offload operational workloads to the Outposts environment. All of our services need to be compatible with AWS Outposts. This gives us more data center capacity and allows us to manage database solutions locally. One of the challenges we faced when moving to Outposts was that we had a separate rule or policy in the catalog. Because of this, we had to migrate all our previously created jobs from other regions in order to run them on Outposts.
We use AWS Outposts to configure security groups to allow inbound and outbound traffic on ports.
There are two crucial aspects that stand out when we talk about the use cases of AWS Outposts. First, the seamless and simplified process of migrating on-premises applications with their local dependencies to the cloud is a significant advantage. Second, the low latency it offers is a game-changer, especially in high-frequency businesses like trading or manufacturing setups.
When it comes to use cases, we break down customer requirements into various scenarios and aim to achieve them using the SaaS platform. Our use cases are primarily driven by the specific needs of each customer, which are project-dependent. For instance, certain projects may revolve around managing data for a waterboard or similar organizations, where content storage and accessibility are crucial. In such cases, we utilize public cloud solutions to store and publish content to different applications that need to be made public. Where public accessibility is required, we employ public cloud resources, often allowing read-only access to the content. However, in some instances, where customers need in-depth technical information about functional devices, we provide restricted user access through AD integration. This involves creating applications on the SaaS platform and establishing access control rules. Regarding data storage, we ensure that data is stored in compliance with geographical regulations. For example, in European regions, data is stored within the European VPN for data protection and compliance. In cases where data confidentiality is paramount, customers opt for solutions like Azure Stack.
We work for many customers but we have used the solution in two big deals involving financial services and retail. We moved the data of both customers from on-premise to the cloud with a lift and shift using Azure and AWS Outposts. We expanded the projects over a year and a half, and we used the solution to save around 30% of our customer operations costs with both customers.
We primarily use Outposts for private cloud requirements and some kind of hybrid cloud.