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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 266
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DBaaS vs Self-Managed Cloud Databases

Scalegrid

The choice of self-managed cloud databases vs DBaaS is a common debate among those who are looking for the best option that will cater to their particular needs. Database as a Service (DBaaS) and managed databases offer distinct advantages along with certain challenges.

Database 130
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Using JSONB in PostgreSQL: How to Effectively Store & Index JSON Data in PostgreSQL

Scalegrid

Why should a relational database even care about unstructured data? JSON database in 9.2 It is useful to validate incoming JSON and store in the database. JSONB storage has some drawbacks vs. traditional columns: PostreSQL does not store column statistics for JSONB columns. JSONB Patterns & Antipatterns.

Storage 321
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AWS serverless services: Exploring your options

Dynatrace

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Speed is next; serverless solutions are quick to spin up or down as needed, and there are no delays due to limited storage or resource access. AWS offers four serverless offerings for storage.

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MongoDB Database Backup: Best Practices & Expert Tips

Percona

That’s why it’s essential to implement the best practices and strategies for MongoDB database backups. Why are MongoDB database backups important? Regular database backups are essential to protect against data loss caused by system failures, human errors, natural disasters, or cyber-attacks.

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Observability engineering: Getting Prometheus metrics right for Kubernetes with Dynatrace and Kepler

Dynatrace

An essential observability engineering tool Prometheus is an open-source telemetry database service that records and stores custom software metrics and provides a standardized interface to pull (in Prometheus terms, “scrape”) data using HTTP requests. To set the stage, let’s have a quick recap of what Prometheus is and what it does.

Metrics 175
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Document Model Support in DynamoDB: Flexibility, Availability, Performance, and Scale.Together at last

All Things Distributed

The best part is that we are also significantly expanding the free tier many of you already enjoy by increasing the storage to 25 GB and throughput to 200 million requests per month. We designed DynamoDB to operate with at least 99.999% availability. In 2012, we launched Amazon DynamoDB, the successor to Amazon Dynamo.