Cloud architectures, management, CloudOPS
We support the design, construction and operation of cloud environments on AWS using components such as IaaC (Infrastructure as a Code) with the AWS Cloud Development Kit (CDK) & ASW CloudFormation or Terraform. We create CI/CD pipelines with AWS CodePipeline and AWS CodeDeploy and monitor and audit infrastructures with Amazon CloudWatch and AWS CloudTrail. In the field of applications, we implement serverless solutions with services such as AWS Lambda, AWS Stepfunctions, AWS Fargate, Amazon API Gateway as well as AWS SNS and SQS.
Whether we're designing and implementing a new data platform or reviewing an existing one on AWS, we're here to help our customers find the solution that fits their needs on AWS. To realize added value for our customers from data analytics on AWS, we deploy AWS managed services such as Amazon Redshift, AWS RDS, Amazon Dynamo DB, AWS Glue, Amazon S3, AWS Lakeformation, and more. Whenever it's likely to be beneficial, we enhance the solution with open-source tools such as dbt and Meltano and software from proven partners like Exasol.
Machine learning, AI and ML/AI DevOps
In the field of ML and AI, we support our customers not only by training their models, but we provide support through the entire process, including productive deployment and operation. Here, we employ both AWS Sagemaker services and solutions and suitable third-party solutions.
We also support customers wishing to implement IoT solutions on AWS. We select the most appropriate service from the wide range of available options, such as AWS IoT Core, AWS IoT SiteWise, AWS IoT Greengrass and others, take care of the connection to external devices and systems, and assist with the analysis and evaluation of the data. And with our b.telligent IoT adoption framework, we guide our customers to a successful IoR project in 6 steps.