Remove tag user-timing
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Dynatrace leverages new AWS Lambda extensions for seamless end-to-end observability

Dynatrace

Dynatrace provides automatic and intelligent observability without touching any code through auto-instrumentation, thereby helping you to better understand potential issues that may impact your end users’ experience. Figure 2: Automatically imported AWS Resource tags on your AWS dashboard. Leverage the latest improvements today.

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

Dynatrace

Knowing who is responsible for specific areas and services is a vital skill that saves time and hassle. Combining services and responsible teams increases transparency, simplifies the identification of the right people, enables automation, and saves time and money. As always, work must be done before you can reap the rewards.

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Scalable Annotation Service?—?Marken

The Netflix TechBlog

Annotations Sometimes people describe annotations as tags but that is a limited definition. But there are more interesting cases where users want to store temporal (time-based) data or spatial data. This allows users to make add/remove properties in their data model. Movie Entity with id 1234 has violence.

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

Scalegrid

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. Often times an external system is providing data as JSON, so it might be a temporary store before data is ingested into other parts of the system.

Storage 321
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Improved Alerting with Atlas Streaming Eval

The Netflix TechBlog

Ruchir Jha , Brian Harrington , Yingwu Zhao TL;DR Streaming alert evaluation scales much better than the traditional approach of polling time-series databases. It allows us to overcome high dimensionality/cardinality limitations of the time-series database. It opens doors to support more exciting use-cases.

Storage 288
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Tutorial: Guide to automated SRE-driven performance engineering

Dynatrace

In this blog, I will be going through a step-by-step guide on how to automate SRE-driven performance engineering. This is what this blog is all about. Its a detailed tutorial blog that explains how you can make the first steps towards SLI/SLO-based Quality Gates. For this blog I will be using the same Node.js

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Dynatrace Support for AWS Lambda Functions Powered by x86 and AWS Graviton2

Dynatrace

With Lambda, you are charged based on the number of requests for your functions and their duration (the time it takes for your code to execute) with millisecond granularity. For example, you can apply filters on different tag values by using a combination of AWS tags to identity Graviton2 versus x86 Lambda functions as shown below.

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