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Extend business observability: Extract business events from online databases (Part 2)

Dynatrace

In part 2, we’ll show you how to retrieve business data from a database, analyze that data using dashboards and ad hoc queries, and then use a Davis analyzer to predict metric behavior and detect behavioral anomalies. Similar to the tutorial extension, we created an extension that performs queries against databases.

Database 269
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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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Increase the Ability to Securely Replicate Your Data and Restrict Replication To Row-based Events in MySQL

Percona

We want to improve our ability to replicate your data and limit replication to row-based events securely, wherein we do not have control over the source(s). Another feature, REQUIRE ROW FORMAT, was added in MySQL 8.0.19, limiting replication to row-based replication events. In this blog, I’ll discuss the use case for replication.

Storage 84
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Microservices, events, and upside-down databases

O'Reilly Software

The benefits of modeling data as events as a mechanism to evolve our software systems. Back then, the most common pattern I saw for service-based systems was sharing a database among multiple services. As I expanded upon in my book, Building Microservices , a shared database creates a huge coupling point in your architecture.

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Designing Instagram

High Scalability

We will use a graph database such as Neo4j to store the information. Additionally, we can use columnar databases like Cassandra to store information like user feeds, activities, and counters. After that, the post gets added to the feed of all the followers in the columnar data storage. Sample Queries supported by Graph Database.

Design 334
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Key Advantages of DBMS for Efficient Data Management

Scalegrid

If you’re considering a database management system, understanding these benefits is crucial. DBMS enhances data security with encryption, implements various access controls, and enables improved data sharing and concurrent access, thus facilitating quick response to changes and maintaining consistent database accuracy.

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Optimize your environment: Unveiling Dynatrace Hyper-V extension for enhanced performance and efficient troubleshooting

Dynatrace

Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult. Firstly, managing virtual networks can be complex as networking in a virtual environment differs significantly from traditional networking.