AWS Cloud Solutions
AWS allows us to implement any type of cloud solution, being ideal for products oriented to Big Data and Machine Learning. As a public cloud provider, AWS has proven its high capacity to cover all the needs of the most demanding use cases. The regular launch of new services and their constant improvement with an investment of more than $22 billion a year, makes AWS the leading provider and most innovative cloud platform on the market.
Keepler started working with AWS in March 2018 and now, after just five years of operation, the company has reached the Premier Tier, demonstrating Keepler’s clear objective and commitment to bringing business value through data in the public cloud.
We are a partner that designs, builds and deploys Big Data and Machine Learning solutions to solve the business needs of our customers, highlighting the construction of Data Products. Quality and experience are keys and we rely on the five pillars of the Well Architected Framework.
It allows to have a great centralized data repository where to ingest information from many sources and to govern them in a correct and controlled way. This type of solution is used by some others, like the exploitation of this data for analytics. S3, Glue, Athena, QuickSight, Lake Formation.
Machine Learning & AI
AWS provides various artificial intelligence and machine learning services that allow certain needs to be solved in a short time. In addition, SageMaker provides a comprehensive and continuously improving ecosystem for all phases of the ML lifecycle. SageMaker, Rekognition, Polly, Forecast.
There are a multitude of use cases that require information processing in real-time. This processed information is exploited in many cases, and in other, it is immediately served as an entry point to other processes. Kinesis, Kinesis Analytics, MSK, DynamoDB, Lambda.
IoT
It provides services and functionalities for IoT highest performance, providing a two-way communication between the devices and AWS. These functionalities are located both outside and inside the cloud. IoT Core, GreenGrass.
It is very common to provide access to information through an API, both for consultation and for data input, for example from mobile devices. This information will have been processed or used by one of the other types of solutions. AWS provides several services and functionalities to make this type of API available. API Gateway, ECS, Lambda, EKS, DynamoDB, RDS, Cognito.
Cloud Adoption
The first, and sometimes the most complex step, is how to migrate your data and systems to the public cloud, which architectures and services to use, how to transfer the data… In addition, it is possible to keep another part on-premise maintaining both connected (hybrid clouds). The right strategy for a correct cloud adoption, is one of the bases to get the most out of your data with AWS. Snowball, SFTP, DMS.
