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Beats

Elasticsearch Series ELK Kibana: DevTools This Post Beats is Elastic’ platform for data shippers. From previous posts we know that Elasticsearch and Logstash are servers and we can send data (usually time series data) to them. If data needs some input/filter/output

Kibana: DevTools

Elasticsearch Series ELK This Post Beats Kibana allows us to work with Elasticsearch in most productive way. From the previous post; lets expose our Elasticsearch server and using its REST APIs; create an “index” and a document in there directly using
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ELK

Time Series Databases Prometheus InfluxDB This Post Elasticsearch Series This Post Kibana: DevTools Beats If you ever managed a Linux server or developed application for it; you probably know about Splunk; it captures, indexes and correlates real-time

Telegraf

TICK Series InfluxDB This Post Telegraf is the daemon written in Go for collecting, processing, aggregating and writing metrics. It has plugins through which it offers integrations to variety of metric sources. It can pull the metrics from third-party

InfluxDB

TICK Series This Post Telegraf Time Series Databases Prometheus This Post ELK InfluxDB is another open source time series database and is written in Go language. It has no external dependency and its data model consists of several key-value pairs called
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Swarm and Prometheus II

Prometheus Series Prometheus Swarm and Prometheus This Post Time Series Databases Prometheus InfluxDB Docker Swarm Series Docker Swarm Docker Registry Jenkins Swarm and Prometheus This Post In the last post; we had our application running and being monitored

Swarm and Prometheus

Prometheus Series Prometheus This Post Swarm and Prometheus II Time Series Databases Prometheus InfluxDB Docker Swarm Series Docker Swarm Docker Registry Jenkins This Post Swarm and Prometheus II To monitor the Docker Swarm and our application running

Prometheus

Prometheus Series This Post Swarm and Prometheus Swarm and Prometheus II Time Series Databases This Post InfluxDB ELK A time series is a series of data points indexed (or listed or graphed) in time order. Most commonly, a time series is a sequence taken

Browserifying AngularJS Material

Frontend Development Series Modern Frontend Development Frontend Development–Browserify This Post AngularJS Series Angular JS This Post In the previous AngularJS post; we used the NUGET package to get the AngularJS; and in Frontend Development Series
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Frontend Development–Browserify

Frontend Development Series Modern Frontend Development This Post Vue.js Series Data Validation-Vue.js This Post As the front-end code grow; we need an option to encapsulate our Javascript based work and need Javascript modules that only exposes required
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C#

C# 7.2 / Visual Studio 2017 15.5 / .NET Core SDK 2.x Reference semantics with value types string someMethod(in string valueThatYouCantChange) {} ref readonly var valueThatCantBeChanged => ref valueThatICouldChange; readonly struct SomeStructure {}
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Modern Frontend Development

Thanks to Node and Javascript Frameworks; the frontend development landscape has changed a lot and things are in continuous flux. For .NET developers; adapting to this might be hard to digest because we have been “addicted” to use one single thing that
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Data Validation-Vue.js

Data Validation Series Data Validation–Silverlight Data Validation-MVC Data Validation-Web Forms Data Validation-Knockout Data Validation-Vue.js In the previous post we have learned about how we can do validation on the client side on the client model
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Angular JS

Angular JS is the famous Javascript library for Single Page Applications from Google. Now the v1.x version is called Angular JS and the v2 onwards are called Angular or Angular 2/2+. It is also the frontend part of the “MEAN” stack; where MongoDB is used
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Data Validation–Knockout

Data Validation Series Data Validation–Silverlight Data Validation-MVC Data Validation-Web Forms Data Validation-Knockout Data Validation-Vue.js In the previous posts we learned about how we can do client side validation using jQuery.Validation against
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