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What is a Distributed Storage System

Scalegrid

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. This strategy reduces the volume needed during retrieval operations.

Storage 130
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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures. It can achieve impressive performance, handling up to 50 million operations per second. Cache Hit Ratio The cache hit ratio represents the efficiency of cache usage.

Metrics 130
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Kubernetes vs Docker: What’s the difference?

Dynatrace

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. What is Docker? Networking.

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Backup and Recovery for Databases: What You Should Know

Percona

In general terms, here are potential trouble spots: Hardware failure: Manufacturing defects, wear and tear, physical damage, and other factors can cause hardware to fail. heat) can damage hardware components and prompt data loss. Without data backup mechanisms, there can be data loss or system downtime.

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Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

We were able to meaningfully improve both the predictability and performance of these containers by taking some of the CPU isolation responsibility away from the operating system and moving towards a data driven solution involving combinatorial optimization and machine learning. For services, the gains were even more impressive.

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Monitoring Distributed Systems

Dotcom-Montior

Software and hardware components are autonomous and execute tasks concurrently. Concurrency refers to the system’s ability to carry out multiple tasks in parallel and manage the access and usage of shared resources. It is also one of the four golden signals of monitoring, which also includes traffic, error, and saturation.

Systems 74
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Compress objects, not cache lines: an object-based compressed memory hierarchy

The Morning Paper

… to realize these insights, hardware needs to access data at object granularity and must have control over pointers between objects. Hotpads is a hardware-managed hierarchy of scratchpad-like memories called pads. Zippads also has the best reduction in main memory traffic : halving the amount of traffic compared to the baseline.

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