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

Dynatrace

There are three high-level steps to set up the database business-event stream. Step-by-step: Set up a custom MySQL database extension Now we’ll show you step-by-step how to create a custom MySQL database extension for querying and pushing business data to the Dynatrace business events endpoint. Don’t rename the file.

Database 268
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The value of business events: How IT can increase business agility

Dynatrace

Business events are a special class of events, new to Business Analytics; together with Grail, our data lakehouse, they provide the precision and advanced analytics capabilities required by your most important business use cases. What are business events? This diagram shows a few examples of business events.

Analytics 226
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Extract metrics from business events to increase the value of business analytics

Dynatrace

To close these critical gaps, Dynatrace has defined a new class of events called business events. Dynatrace OneAgent ® prioritizes business events over observability metrics to ensure the lossless precision you need to support demanding business use cases.

Analytics 199
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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 90
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Get seamless insights into Nutanix clusters with Dynatrace

Dynatrace

Storage container metrics Track the usage and performance of storage containers to optimize resource allocation. Disk metrics Monitor the performance of disks to ensure efficient data storage and retrieval. Virtual disk metrics Keep tabs on virtual disk performance, identifying any potential storage bottlenecks.

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Measuring the importance of data quality to causal AI success

Dynatrace

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. Causal AI is a different approach that goes beyond event correlations to understand the underlying reasons for trends and patterns. It uses fault-tree analysis to identify the component events that cause outcomes at a higher level.

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Dynatrace and Red Hat expand enterprise observability to edge computing

Dynatrace

But there’s more than just a need for minimizing resource (CPU, memory, storage) and network (bandwidth) consumption for observability at the edge. These challenges stem from the distributed and often resource-constrained nature of edge computing. Remote management and automated alerting are, therefore, crucial.

Retail 257