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The latest News and Information on Databases and related technologies.

redgate

The business value of frequent deployments: Recouped time

Feb 7, 2023 By Stephen Fontanella In Redgate
The first post in this series introduced the idea of the different layers of value that your business can gain from frequent deployments and focused on the hard costs you can save. We’re looking at the role the database plays here because it’s the most complicated part of the process and it’s difficult to hit aggressive KPIs and goals when your teams are burdened with process bloat due to mistake-prone, manual work.
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Release 1.38.0 - DBENGINE v2, Functions, Events, Notifications, Role Based Access, and much more!

Feb 7, 2023 By netdata In netdata
The Netdata team is very excited to introduce you to all the new features and improvements in the new version. HIGHLIGHTS: DBENGINE v2 The new open-source database engine for Netdata Agents, offering huge performance, scalability and stability improvements, with a fraction of memory footprint! FUNCTION: Processes Netdata beyond metrics! We added the ability for runtime functions, that can be implemented by any data collection plugin, to offer unlimited visibility to anything, even not-metrics, that can be valuable while troubleshooting.
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smikar

What are Azure Tables and what are they used for?

Feb 5, 2023 By Mark In SmiKar Software

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.

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VictoriaMetrics

Rules backfilling via vmalert

Jan 31, 2023 By Roman Khavronenko In VictoriaMetrics

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.

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