The latest News and Information on Databases and related technologies.
Recently, a customer brought me a challenging use case: They were looking to enforce quotas on their internal customers, i.e. other teams in the organization. The analytics team provides services such as searching and reporting capabilities to those other teams, which subscribe to the services through a chargeback model. Each team that subscribes is supposed to limit its ingestion of data to a quota: a maximum permitted ingest per 24-hour period.
Azure Tables is a NoSQL cloud-based data storage service provided by Microsoft. It allows users to store and retrieve structured data in the cloud, and it is designed to be highly scalable and cost-effective. Azure Tables are used for a variety of purposes, including: In summary, Azure Tables are a cost-effective, highly scalable, and flexible data storage service that is well suited for storing large amounts of structured and semi-structured data.
Recording rules is a clever concept introduced by Prometheus for storing results of query expressions in a form of a new time series. It is similar to materialized view and helps to speed up queries by using data pre-computed in advance instead of doing all the hard work on query time. Like materialized views, recording rules are extremely useful when user knows exactly what needs to be pre-computed. For example, a complex panel on Grafana dashboard or SLO objective.
