Amazon Web Services

We have a software SaaS company. We use Amazon Web Services S3, EC2, domain hosting and other services.

In my opinion, Amazon Web Services is not suited for non-technical users and rapidly changing startup. In our experience, if your CTO leaves, or is away, even if they have your email and phone and other information for security checks it is impossible to log in.

Amazon Web Services is one of our CSP vendors for Cloud Application hosting

Good set of services for medium to large implementations. Good support model and easy to get started quickly. It still has some room for improvement in AI assisted coding and service management, including security.

We use AWS as a primary cloud provider across a range of services. That includes managed compute fleet, networking, covers some of the load balancing and multi region disaster recover scenarios, as well as some higher level things like managed Kubernetes, some databases, logging, analytics and many other elements across AWS offerings

This is something that is actually common across most cloud providers. A comprehensive understanding of one's use cases, constraints and future directions is key to determining if you even need a cloud solution. If you are a 2-person startup developing something with a best-scenario audience of 1k DAU in a year, you would very likely best served by a dirt-cheap dedicated Linux server somewhere (and your options to graduate to a cloud solution will still be open). If, however, you are a bigger fish, and/or you are actively considering build-vs-buy decisions for complicated, highly-loaded, six-figure requests per minute systems, global loadbalancing, extreme growth projections - then MAYBE you solve all or part of it with a cloud provider. And depending on your taste for risk, reliability, flexibility, track record - it might be AWS.

We utilize AWS to fulfill our various organizational needs, which range from using AWS compute, SaaS, PaaS, DBaaS, and IAM. We have multiple applications and databases deployed on AWS compute for both production and test environments, with some managed by us and others managed autonomously. The deployed applications are being used in HR, Finance, and IT support departments.

We are using RDS for the database services. With RDS, we don't have to manage much, as most of the DBA tasks are automated. For development purposes, we are using Kubernetes pods, which makes it easy to deploy applications and scale up as needed. AWS integration with in-house applications is seamless, making it easy to keep a data-sensitive application on-premises while still utilizing AWS services.

We use Amazon Web Services for updating and uploading our lists, uploading carousels and email lists. It helps us be up to date with all lists and make the best use of updated data.

Best suited to update and upload data, make the best use of data captured.
Less appropriate for reporting purposes and gathering insights from data.

We use Amazon Web Services day to day depending on the different business use-cases. For instance for solving any event driven architecture problems we extensively use SQS, SNS & Lambdas. For dealing and handling large data we use S3, Glue Jobs, OpenSearch. For hosting our services we use ECS, to launch containerised services, exposed behind a VPN and API Gateway configuration. Logs across the services as captured in Amazon Web Services Cloudwatch.

If you want to quickly launch large scaled applications along with reliability, availability, scalability and business insights, Amazon Web Services is a great place to host your entire business.

For relatively low scale application Amazon Web Services might sometimes seem like an overkill, as it promotes a more micro-service architecture, which may or may not always make sense depending on individual business use-cases.

Amazon Web Services are basically used to host infrastructure in cloud.
In our organization cloud is future solution , therefore all the applications has been asked to moved to cloud and design the applications according to services provided by them.
S3 buckets , RDS and Autoscaling various services are used extensively.
This is addressing the datacenter cost issue.

In hosting particular application where load increase and deceases with time period , then Amazon Web Services provides best features such Elastic load balancer and Auto scaling feature to deal with it.
Another very good feature is S3 buckets where we can store any type of object and that will be available globally through web and can be encrypted also.

Amazon Web Services offers a diverse range of services. It's an adaptable platform for a number of applications and business needs. Amazon Web Services is super scalable and flexible, is quite cost-effective, user-friendly, reliable, and secure.

They offer strong support and resources if we ever need to troubleshoot or get assistance.

We are using various services of Amazon Web Services for storage, compute, container orchestration and a lot more. We are using S3 for storage of various documents and files. EC2 and Lambda for deploying some services and APIs. ECS for deploying containers based applications. We are also using Amazon Web Services Route 53 for DNS management. Apart from this, we use cognito, API gateway, Glue, secret manager and a lot more. Amazon Web Services makes it fast and easy to provision the infrastructure.

I find Amazon Web Services more easy to use as compared to some other public cloud offerings. e.g. storing data in S3 is very easy and access and also be maintained using easily using bucket policies. For container orchestration ECS is much user friendly and intuitive as compared to Kubernetes services.
It would have been better if Amazon Web Services could provide a logical container for multiple resources (e.g. resource groups in Azure), which would make it easy to clean up the resources.

We use it to run multiple applications and storing data on AWS's global network of data centers. We also use AWS for cloud services and infrastrcture. We also use it for mulitple SAAS applications, and Data Storage that holds multiple containers. These are the primary uses for AWS that we use.

AWS has a very wide range of different analytic services that are great for our business needs and requirements. The AWS infrastructure allows us to process and analyze extremely large data sets and we also use it for web hosting, email services, and content delivery networks.