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Causal AI use cases for modern observability that can transform any business

Dynatrace

Traditional monitoring provides correlations between events, but causal AI goes further by inferring the probabilistic causal relationships between them. Healthcare. For example, causal AI can help public health officials better understand the effects of environmental factors, healthcare policies, and social factors on health outcomes.

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Privacy spotlight: Retain data in Grail with 1-day precision, for up to 10 years

Dynatrace

Streamline privacy requirements with flexible retention periods Data retention is a critical aspect of data handling, and it’s not just about privacy compliance—it’s about having the flexibility to optimize data storage times in Grail for your Dynatrace use cases. Other data types will be available soon). What’s next?

Storage 165
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New analytics capabilities for messaging system-related anomalies

Dynatrace

Messaging systems are typically implemented as lightweight storage represented by queues or topics. – DevOps Engineer, large healthcare company. You can configure and activate the following extensions in Dynatrace at Settings > Monitoring > Monitored technologies > Supported technologies : ActiveMQ.

Analytics 185
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OpenShift vs. Kubernetes: Understanding the differences

Dynatrace

Kubernetes also gives developers freedom of choice when selecting operating systems, container runtimes, storage engines, and other key elements for their Kubernetes environments. Without having to worry about underlying infrastructure concerns, such as storage, security, and lifecycle management, developers can focus on writing code.

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What Is PostgreSQL Used For?

Percona

PostgreSQL has powerful and advanced features, including asynchronous replication, full-text searches of the database, and native support for JSON-style storage, key-value storage, and XML. Healthcare organizations: PostgreSQL is used to store patient records, medical history, and other healthcare data.

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Act locally, connect globally with IoT and edge computing

All Things Distributed

Connected devices allow us to extend our senses to remote locations, such as a robot carrying out work on Mars or monitoring remote oil wells. Here's a few examples: IoT sensors in a factory can monitor and predict equipment failure before an accident. This is the exciting future for IoT, and it's closer than you think.

IoT 126
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Backup and Recovery for Databases: What You Should Know

Percona

An incremental backup, which is faster and requires less storage than a full backup, captures changes made since the previous backup. Some of them include: Redundant hardware: Both HA and DR use redundant hardware components, including servers and storage devices. It’s suitable for databases with moderate change rates.