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Writing Logs Into Elastic With NLog, ELK, and .NET 5.0

If you are using Microservice-based architecture, one of the challenges is to integrate and monitor application logs from different services and the ability to search on this data based on message string or sources, etc.

So, What Is The ELK Stack?

"ELK" is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server-side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.

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Capture IoT Devices Data Via RabbitMQ

Introduction

The purpose of this article is to give you an overview of how to capture events from MQTT enabled IoT sensors/devices and monitors it via ELK stack.

After capturing events, you could either store it in event-stores or in time-series database for further processing.

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Sprinkle Some ELK on Your Spring Boot Logs

 

One day, I heard about the ELK stack and about its advantages, so I decided to get my hands on it. Unfortunately, I struggled to find solid documentation and supplemental content on getting started. So, I decided to write my own.

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Hunting the ELK (Stack): Data Monitoring to Visualization

Experts in the field

Made up of Elastisearch, "a search and analytics engine," Logstash, "a server-side data processing pipeline that "ingests data from multiple sources simultaneously, transforms it, and then sends it to a 'stash'," (according to Elastic's official site) and Kibana, a robust visualization tool, the ELK stack has quickly become one of the premier tools available to developers for data processing, management, and visualization. 

Whether you're just starting out with any of the three technologies, or you're a seasoned veteran, we've compiled the best that our community has to offer for basic questions about getting started to complex tutorials for real-time data management. 

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Logging Istio with ELK and Logz.io

Load balancing, traffic management, authentication and authorization, service discovery — these are just some of the interactions taking place between microservices. Collectively called a “service mesh,” these interconnections can become an operations headache when handling large‑scale, complex applications.

Istio seeks to reduce this complexity by providing engineers with an easy way to manage a service mesh. It does this by implementing a sidecar approach, running alongside each service (in Kubernetes, within each pod), and intercepting and managing network communication between the services. Istio can be used to more easily configure and manage load balancing, routing, security, and the other types of interactions making up the service mesh.