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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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Bandwidth-friendly Query Profiling for Azure SQL Database

SQL Performance

SQL Server has always provided the ability to capture actual queries in an easily-consumable rowset format – first with legacy SQL Server Profiler, later via Extended Events, and now with a combination of those two concepts in Azure SQL Database. Unfortunately, my excitement was short lived for a couple of reasons.

Azure 96
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Artificial Intelligence in Cloud Computing

Scalegrid

Artificial intelligence can automate tasks ranging from: data analysis resource provisioning system maintenance decision-making natural language processing This not only improves accuracy and reliability but also frees up valuable time for IT teams to focus on strategic tasks, such as resource management on platforms like Google Cloud.

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MySQL High Availability Framework Explained – Part III: Failover Scenarios

High Scalability

Thus, whenever a master MySQL goes down (whether due to a MySQL crash, OS crash, system reboot, etc.), This ensures that the system continues to be available to the applications. Application traffic will be redirected to this new master MySQL node and the slave S2 will start replicating from the new master.

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Pre-Deployment Policy Compliance

Abhishek Tiwari

OPA can be integrated with a wide range of tools and systems, making it highly versatile. Sentinel policies are written to enforce rules such as: Requiring encryption for all Amazon S3 buckets and Azure Blob Storage containers. Ensuring that security groups restrict inbound traffic to approved ports.

AWS 52
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The Need for Real-Time Device Tracking

ScaleOut Software

How are we managing the torrent of telemetry that flows into analytics systems from these devices? Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The list goes on.

IoT 78
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AWS EKS Monitoring as a Self-Service with Dynatrace

Dynatrace

PostgreSQL & Elastic for data storage. Thanks to PurePath, architects can validate how transactions flow from service-to-service and how traffic gets routed through service mashes (AWS App Mesh, Istio, Linkerd) or proxies. Dynatrace’s Response Time Hotspot Analysis automates the hotspot detection in highly distributed systems.

AWS 127