Remove tag changes
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Best practices for Fluent Bit 3.0

Dynatrace

Logs The SQL processor makes your pipeline experience easier since you can use select to filter precisely which logs you want to change. Understand the concept of tags Your experience with Fluent Bit will improve if you learn how tags function, especially if you’ve never used Fluent before.

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Manage dashboards more efficiently with more control with the JSON editor

Dynatrace

Tags help you better segment, find, and understand the purpose of any dashboard. Tag : Filter for dashboards that have a specific tag. Easily find dashboards by tagging and marking them as favorite. In order to give dashboards a little more context, we’ve introduced dashboard tags.

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A practical guide to monitoring Python Applications with Dynatrace

Dynatrace

The idea, and most of the content for this blog, comes from one of our Partners; Stephan Dannewitz , DevOps & Site Reliability Engineer at avodaq AG. If you’re developing, testing, operating, or if you’re a business owner of a Python-based application then I encourage you to read the rest of the blog.

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Easily change OneAgent metadata, host name, and monitoring mode

Dynatrace

If you have thousands of hosts to monitor, changing the configuration of some of the hosts can be challenging. You can read about these improvements in these recent blog posts: Faster host-group management using the OneAgent command-line interface. You can achieve this by setting tags and properties for each OneAgent.

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The right person at the right time makes all the difference: Best practices for ownership information

Dynatrace

However, as software changes continuously due to new deployments and releases, so can responsibilities. If certain naming conventions or key-value pairs are already used to tag services or apps with responsible teams, it’s possible to reuse the same keys easily. At first glance, this sounds easy: Team A takes care of component B.

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Using JSONB in PostgreSQL: How to Effectively Store & Index JSON Data in PostgreSQL

Scalegrid

Storing your data in JSON is useful when your schema is fluid and is changing frequently. If you store each of the keys as columns, it will result in frequent DML operations – this can be difficult when your data set is large - for example, event tracking, analytics, tags, etc. JSONB storage results in a larger storage footprint.

Storage 321
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Scalable Annotation Service?—?Marken

The Netflix TechBlog

Annotations Sometimes people describe annotations as tags but that is a limited definition. They want to change the color of gloves to rich black so they want to be able to mark up that area, in this case using a blue circle, and store a comment for it. This is a typical use case for a creative review application.