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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines.

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An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems

The Morning Paper

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., In this paper we explore the implications microservices have across the cloud system stack. Hardware implications. Operating system and network implications.

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What is AWS Lambda?

Dynatrace

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. Dynatrace news. What is AWS Lambda? The Amazon Web Services ecosystem.

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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. By implementing data replication strategies, distributed storage systems achieve greater.

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InnoDB Performance Optimization Basics

Percona

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. Operating system Linux is the most common operating system for high-performance MySQL servers. Setting oom_score_adj to -800.

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Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

When you’re running in the cloud your containers are in a shared space; in particular they share the CPU’s memory hierarchy of the host instance. These applications range from critical low-latency services powering our customer-facing video streaming service, to batch jobs for encoding or machine learning.

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Monitoring Distributed Systems

Dotcom-Montior

With the rapid advancements in web application technologies, programming languages, cloud computing services, microservices, hybrid environments, etc., monitoring distributed systems becomes much more difficult to carry out and manage. Software and hardware components are autonomous and execute tasks concurrently.

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