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Zabbix as Universal Monitoring System for IT Company: Tips for Effective DevOps Monitoring

DZone

Today, I want to share my experience working with Zabbix, its architecture, its pros, and its cons. My first encounter with this monitoring system was in 2014 when I joined a project where Zabbix was already in use for monitoring network devices (routers, switches). Back then, it was version 2.2,

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Microservices vs. monolithic architecture: Understanding the difference

Dynatrace

As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. Traditional monolithic architectures are built around the concept of large applications that are self-contained, independent, and incorporate myriad capabilities. What is monolithic architecture?

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Systems Performance: Enterprise and the Cloud, 2nd Edition

Brendan Gregg

Eight years ago I wrote _Systems Performance: Enterprise and the Cloud_ (aka the "sysperf" book) on the performance of computing systems, and this year I'm excited to be releasing the second edition. A year ago I announced [BPF Performance Tools: Linux System and Application Observability]. Which book should you buy?

Systems 141
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The history of Grail: Why you need a data lakehouse

Dynatrace

Grail architectural basics. The aforementioned principles have, of course, a major impact on the overall architecture. A data lakehouse addresses these limitations and introduces an entirely new architectural design. It’s based on cloud-native architecture and built for the cloud. But what does that mean?

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Architected for resiliency: How Dynatrace withstands data center outages

Dynatrace

The fact is, Reliability and Resiliency must be rooted in the architecture of a distributed system. The email walked through how our Dynatrace self-monitoring notified users of the outage but automatically remediated the problem thanks to our platform’s architecture. Fact #2: No significant impact on Dynatrace Users.

AWS 246
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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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Engineering dependability and fault tolerance in a distributed system

High Scalability

This means a system that is not merely available but is also engineered with extensive redundant measures to continue to work as its users expect. Fault tolerance The ability of a system to continue to be dependable (both available and reliable) in the presence of certain component or subsystem failures.