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What is log management? How to tame distributed cloud system complexities

Dynatrace

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Distributed cloud systems are complex, dynamic, and difficult to manage without the proper tools. Dynatrace news.

Systems 191
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Optimize your environment: Unveiling Dynatrace Hyper-V extension for enhanced performance and efficient troubleshooting

Dynatrace

Microsoft Hyper-V is a virtualization platform that manages virtual machines (VMs) on Windows-based systems. It enables multiple operating systems to run simultaneously on the same physical hardware and integrates closely with Windows-hosted services. This leads to a more efficient and streamlined experience for users.

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What is a Distributed Storage System

Scalegrid

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130
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Get seamless insights into Nutanix clusters with Dynatrace

Dynatrace

Performance monitoring Dynatrace can collect performance metrics from Nutanix clusters, including latency, IOPS (Input/Output Operations Per Second), and network throughput. Storage container metrics Track the usage and performance of storage containers to optimize resource allocation.

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SIEM Volume Spike Alerts Using ML

DZone

SIEM systems enable early detection of security threats and suspicious activities by analyzing vast amounts of log data in real time. Correlation Engine: SIEM systems analyze and correlate the collected data to identify patterns, anomalies, and potential security incidents. This helps in detecting threats and attacks in real time.

Storage 136
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Building Resiliency With Effective Error Management

DZone

Building resilient systems requires comprehensive error management. Errors could occur in any part of the system / or its ecosystem and there are different ways of handling these e.g. Datacenter - data center failure where the whole DC could become unavailable due to power failure, network connectivity failure, environmental catastrophe, etc.

Hardware 243
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Designing Instagram

High Scalability

The streaming data store makes the system extensible to support other use-cases (e.g. System Components. The system will comprise of several micro-services each performing a separate task. After that, the post gets added to the feed of all the followers in the columnar data storage. Fetching User Feed. Optimization.

Design 334