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Leveraging Infrastructure as Code for Data Engineering Projects: A Comprehensive Guide

DZone

Data engineering projects often require the setup and management of complex infrastructures that support data processing, storage, and analysis. IaC enables treating infrastructure setups as version-controlled code, allowing for automated provisioning, deployment, and configuration management.

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Storage handling improvements increase retention of transaction data for Dynatrace Managed

Dynatrace

Using existing storage resources optimally is key to being able to capture the right data over time. Dynatrace stores transaction data (for example, PurePaths and code-level traces) on disk for 10 days by default. Increased storage space availability. Improvements to Adaptive Data Retention.

Storage 194
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Percona Server for MongoDB 7 Is Now Available

Percona

This is not a general rule, but as databases are responsible for a core layer of any IT system – data storage and processing — they require reliability. Why choose Percona Server for MongoDB? Why release Percona Server for MongoDB 7 now? delivering the Upstream code do a great job and build a very solid tool.

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Narrowing the gap between serverless and its state with storage functions

The Morning Paper

Narrowing the gap between serverless and its state with storage functions , Zhang et al., Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " A tenant should not be able to see the code or data of other tenants (isolation).

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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.

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Why growing AI adoption requires an AI observability strategy

Dynatrace

And an O’Reilly Media survey indicated that two-thirds of survey respondents have already adopted generative AI —a form of AI that uses training data to create text, images, code, or other types of content that reflect its users’ natural language queries. AI requires more compute and storage. AI performs frequent data transfers.

Strategy 219
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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. ActiveGate acts as a secure proxy and compresses and routes observability signals in an optimized manner to Dynatrace servers. Data is integrated seamlessly with Kubernetes topology.

Retail 255