Key Takeaway Hands-on machine learning (ML) consulting boosts startup growth by removing the engineering bottlenecks between a working model and
AWS continuously improves cloud services and introduces new hardware for processing power, but customers usually do not rush to move
Problem statement In some cases, CloudFormation’s capabilities may be limited compared with those of other IaC tools, such as Terraform,
Automat-it, as an AWS Well-Architected Partner, gains expertise in building high-quality solutions, implementing best practices, checking the state of workloads,
According to the Shared Responsibility Model AWS is responsible for «Management of the Cloud”, while a customer is responsible for
Clouds allow us to design highly-available and fault-tolerant systems quite easily. Moreover, we can use managed services (for example, databases)
Problem statement Collecting customer feedback is essential for every business. But collecting is not enough. We must understand and react
Problem statement Using clouds is convenient and has many advantages, like allocating as much workload as you need immediately, deploying
Problem statement A long time ago, we used public third-party CloudFormation extensions to deploy the EKS cluster with deployed Helm
Problem statement In the previous post, «How we migrated applications from Heroku to AWS» I described the migration planning, process,