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“Balancing Cost and Complexity: A Deep Dive into AWS Machine Learning”
“AWS Platform Powers Daily Workplace Operations But Faces Occasional Service Outages”
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Amazon Web Services (AWS), established in 2006, is focused on providing essential infrastructure services to businesses globally in the form of cloud computing. The key advantage offered through cloud computing, particularly via AWS, is its capacity to shift fixed infrastructure expenses into flexible costs. Businesses have been able to forgo extensive planning and procurement of servers and other Information Technology (IT) resources, owing to AWS. AWS seeks to provide businesses with prompt and cost-effective access to resources using Amazon's expertise and economies of scale, as and when their business requires. Currently, AWS offers a robust, scalable, economic infrastructure platform on the cloud powering an extensive array of businesses worldwide. It operates across numerous industries with data center locations in various parts of the globe including U.S., Europe, Singapore, and Japan.
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Amazon Web Services Likes & Dislikes
I appreciate AWS's scalability and flexibility. You can serve up as many instances as needed on-demand for lambdas, which significantly reduces costs by reducing charges to actual usage. This automatic scaling is available for other services as well, such as DynamoDB and Step Functions. Likewise, additional storage can be attached to and detached from EC2 instances based on requirements, without the need to create a new instance with a larger memory. Second, there is no upfront cost for compute or storage. The model is pay-as-you-go, and only resources that are being utilized are billed. Expenditures can be scaled up alongside the growth of the business. Finally, since we work on document intelligence, data security and governance is important. This is where AWS with its string security standards (ISO, SOC, etc.), built-in encryption and identity access management really shines.
Keeps us up and running as most of the internet services we use daily are on the AWS platform
Clear pricing plans and estimation tools. Offers elastic instances for ad-hoc, on-demand scenarios. Mobile app to monitor all your AWS services including instances, servers, virtual machines etc. You can also start/stop/restart/schedule servers as needed, just as you would on the desktop version of the AWS console.
AWS's vast array of services can be overwhelming and make for a steep learning curve. The AWS dashboard is not very intuitive when a procedural task needs to be done (such as choosing permissions or security groups for a specific service or resource). Cost management can be tricky since billing is based on usage. Pricing models are also complex as there are many storage tiers and data transfer fees. Thus, it is important to regularly manage and monitor resources to avoid unexpected costs.
When the service is down, we are essentially not able to do half of our jobs Can take awhile to restore due to the large amount of business/companies AWS supports Due to it being such a large platform, it is a huge target for hackers and unfortunately that does effect my job when things like that happen and take the service down
I can't really think of any negatives. Perhaps the menu UI could be overhauled a bit on the desktop console, however, say if you know what menu item you are looking for, then the search bar is there to type in the search item. Again this is on the proviso you know what you are looking for as initially the items are located under a section/sub-section and may not be obvious.
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Amazon Web Services Reviews and Ratings
- MACHINE LEARNING/ AI ENGINEER<50M USDSoftwareReview Source
Balancing Cost and Complexity: A Deep Dive into AWS Machine Learning
My experience with AWS, specifically for machine learning model productionization, has been largely positive. We use the complete ecosystem. AWS offers several highly scalable services such as SageMaker, Step Functions and Lambdas to facilitate deployment. We also use AWS Redshift to store metadata for the files stored on the AWS S3 bucket. We also use EC2 instances to set up environments for testing our machine learning models. The great part is that since the EC2 is on the same account as other resources, we can access our AWS services and data directly from the EC2 instance. The complexity and potential costs can be challenging to manage, for instance, step functions are billed for each step instead of for a single input/output. Overall, the platform is powerful, but with a slightly steep learning curve, and a lot more space for cost optimization. - SOFTWARE ENGINEERING LEAD50M-1B USDHealthcare and BiotechReview Source
AWS Offers Flexible Pricing and Intuitive Dashboard for Efficient Cloud Management
We found Amazon AWS services overall service very good and very price competitive compared so other Cloud service providers, we found their cost plans are more flexible to our needs. We use the EC2 instances and Virtual Machines to name a few , we found the AWS dashboards very intuitive, they also have a mobile app which makes it easier to start/stop/restart servers - which is easier in my opinion than logging into the console on a desktop and performing the same action there. - Data And Analytics Manager50M-1B USDSoftwareReview Source
AWS Ecosystem Streamlines Administration But Can Overwhelm First-Time Users
Amazon Web Services offers a lot of different products, all of which are very mature. For us, we use a wide variety ranging from S3 buckets, RedShift, Step Functions, Bedrock, SFTP, and so on. In addition to the plethora of products AWS offers, another big benefit is that because all of these operate within the same infrastructure, things like account setup and permissioning become much easier to manage. AWS also offers credits for first-time users so that they can experience the platform without any cost for a time. - Director Of Business Applications<50M USDConsumer GoodsReview Source
AWS Transfer Family Enables Secure Data Integration Across 3PL and Internal Systems
We leverage AWS as the backgone for our mission-critical data integrations. Specifically, we use AWS Transfer Family (SFTP) to securely bridge data between our internal systems and external 3PL platforms. This architecture allows us to feed real-time logistics and supply chain data directly into our CDP, enabling a unified view of the customer journey. The platform's reliability and secure handling of file-based transfers make it an essential component of our data strategy. - Senior Digital Analytics Manager1B-10B USDRetailReview Source
Extensive AWS Services Support Diverse Needs but Present Onboarding Challenges
Overall, my experience with AWS has been very positive. Across both personal and professional use, the platform has proven to be reliable, well-designed, and capable of supporting a wide range of use cases. There's a clear reason AWS is a market leader in this space.