The latest News and Information on Serverless Monitoring, Management, Development and related cloud technologies.
Technology touches almost every corner of the world economy. Even when it’s an indirect relation, in many cases tech is an essential, vital part of our societies. It just can’t fail without causing too much distress and losses. Not only financially, but especially to the human aspect.
As we all know, the on-demand capacity mode of DynamoDB is great but can be cost-prohibitive in some cases (up to seven times more expensive than the Provisioned Capacity mode). The Provisioned mode, on the other hand, shifts to the development team the burden of predicting what level of capacity will be required by the application. And it’s not quite as straightforward to achieve the same level of scalability in the Provisioned mode as we enjoy in the On-demand one.
This post was originally published in JAXenter.com. Serverless is a relatively novel concept and cloud architectural model but has been advancing very quickly over the past 5 years. In this article, we’ve compiled a list of recent changes that are likely to shape how development teams use Serverless in practice. In this article, we’ll be heavily focussing on AWS serverless services. The cloud provider has been investing heavily in the advancement of Serverless.
Data ingestion and data analysis are the yin and yang of a time series platform. There are many resources to help you ingest data. Typical ingestions are agent-based, imports via CSVs, using client libraries, or via third-party technologies. Once your time series data arrives, analysis completes the circle and often leads to additional data collection, and so on and so forth.