Elastic Stack

Elastic Cloud on Kubernetes for best scalability

Comentarios: Organizing chat data to be searchable and log management to proactively fix issues.

Puntos a favor:

One of the best features I like is that Elastic built their own kubernetes operator to extend the k8s orchestration and make it easy to deploy, scale, change, secure and configure hot-warm infrastructures. Their operator saves a ton of time during configuration. I have deployed stacks on different k8s architectures like Azure Kubernetes Service, Amazon Elastic Kubernetes Service and small on prem clusters with microk8s without issues. When we reach performance thresholds we add more elastic nodes and ECK secures and joins it to the cluster and in minutes we can leverage the extra compute. A lot of changes that are done after going to PROD are non-disruptive since ECK is aware of the main node and makes sure to pass the master role before the main one is re-deployed. I have also migrated Elastic Cloud Enterprise deployments running on bare metal and the stability of ECK is unmatched.

Contras:

Currently it is not recommended or supported for a PROD cluster to do its own self monitoring so you have to deploy a monitoring cluster. In cloud scenarios this adds costs and extra complexity so it will be great to have this feature supported.

Elastic Stack - A Complete Package for Big Data Visualizations and Fast Data Query!

Comentarios: Elastic Stack is a powerful platform which allows you to quickly search and query on the data even if the data is in huge volume, thanks to its distributed computing and storage. it has enabled me to develop an application which fetches results from TBs of data in seconds.

Puntos a favor:

1.Allows Faster searching and query operations 2.Provides with easy data visualization for analysis 3.Support for multiple data sources 4.Good SDK support for quick integration with application 5.Scalable as per the requirement with support of kubernetes

Contras:

1.UI is simple ,could be made more robust and dynamic 2.Calculations and processing speed can be further improved 3.Proper usage knowledge is required when using it on scalable platforms

This powerful tool allows you to take data from any source and format to search and analyze.

Puntos a favor:

It is a super fast and efficient data extraction tool. Recommended for medium-sized projects. Handles large amounts of data, is scalable.

Contras:

Usable from any device, however these must be state-of-the-art and offer great calculation speeds and ram storage.

My favorite BI & SIEM Tool

Comentarios: overall i am delighted to have chosen this application, it solved many of our problems

Puntos a favor:

Lightening fast, we built BI dashboards and the 5 years reports data gets populated within seconds that would otherwise takes hours traditionally database or BI tool

Contras:

Very Big learning curve, first tie deployment takes very long time to make it work perfectly and then optimize it. need very good technical expertise

Elastic Stack for Application Logs

Comentarios: Elastic Stack is an open source full stack solution for logs of modern day big data applications processing logs with its different applications of Logstash, Elastic and Kibana. We are using it to read through application logs, storing logs data and using dashboard to easily navigate thru the big chunk of files. Its an amazing combo of applications, completely free of cost with easy implementation and powerful online support.

Puntos a favor:

1. End to End Solution of enterprise logs with services such as Logstash, Elastic and Kibana. 2. Strong User Community and support. 3. Easy to use and implement. 4. Proactive updates on possible downtimes. 5. Dashboards for easy navigation.

Contras:

1. Cloud performance is slower than on premises installation. 2. It crashes in between which delay things sometimes.