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What is cloud monitoring? How to improve your full-stack visibility

Dynatrace

In fact, according to a Dynatrace global survey of 1,300 CIOs , 99% of enterprises utilize a multicloud environment and seven cloud monitoring solutions on average. What is cloud monitoring? Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 220
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Introduction to Grafana, Prometheus, and Zabbix

DZone

Grafana is an open-source tool to visualize the metrics and logs from different data sources. It can query those metrics, send alerts, and can be actively used for monitoring and observability, making it a popular tool for gaining insights. What Is Grafana?

Big Data 173
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What is Application Performance Monitoring?

Dynatrace

Application Performance Monitoring (APM) in its simplest terms is what practitioners use to ensure consistent availability, performance, and response times to applications. Websites, mobile apps, and business applications are typical use cases for monitoring. Performance monitoring. Application monitoring. Dynatrace news.

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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. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130
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What is ITOps? Why IT operations is more crucial than ever in a multicloud world

Dynatrace

The roles and responsibilities of ITOps team members include the following: A system administrator configures servers, installs applications, monitors the health of the system, and fixes and upgrades hardware. The primary goal of ITOps is to provide a high-performing, consistent IT environment. Functionality. ITOps vs. AIOps.

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What is container orchestration?

Dynatrace

This orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles. Apache Mesos with the Marathon DC/OS is popular for large-scale production clusters running existing workloads on big data systems, such as Hadoop, Kafka, and Spark.

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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

The second phase involves migrating the traffic over to the new systems in a manner that mitigates the risk of incidents while continually monitoring and confirming that we are meeting crucial metrics tracked at multiple levels. Also, since this logic resides on the server side, we can iterate on any required changes faster.

Traffic 339