1.
What are real time
applications?
• real-time data feeds, video and audio streams,
Machine-to-Machine-to-Browser communications, and
more

2.
Why Nodejs?
• non-blocking, event-driven I/O to remain lightweight
and efficient in the face of data-intensive real-time
applications that run across distributed devices.
• fast, scalable network applications, as it is capable of
handling a huge number of simultaneous connections
with high throughput

3.
Mongo vs
Elasticsearch
• heavy computation could choke up Node’s single
thread and cause problems for all clients
• let elastic search do the computation and analytics.

4.
Why elasticsearch
• distributed full-text search function with schema-free
JSON documents - fuzzy logic
• If you need more than 5 indexes on MongoDB,
consider using ElasticSearch because this search
engine will give you faster results. For MongoDB, it is
difficult and time-consuming to deal with large
indexes.

5.
Analyse documents -
Kibana
• Flexible analytics and visualization platform
• Real-time summary and charting of streaming data
• Instant sharing and embedding of dashboards

6.
Growing acceptance
of elastic search
• Scalability - shard reallocation on adding new nodes
leading to better performance
• Easy to horizontally scale with almost 0 downtime
• Elastic now provides open source monitoring tools for
measuring cluster health.