Elk tutorial for beginners – elasticsearch logstash kibana (elk introduction part 1) check out full tutorial: goo.gl/6ib6Uv
Elk tutorial transcript:
Welcome to this module which will Provide us with an overview of the ELK Stack. We hope you are excited to learn About this amazing data exploration tool Stack the elk. Over the years the elk Stack has become quite popular in this The module we will understand the problems That ELK seeks to address and the Distinct benefits it offers. Once we
Witness the power and the features Provided by this robust framework it Will be evident why elk stands out apart And above other data exploration Solutions.
The Mars Curiosity rover has Been exploring the red planet and Collecting billions of data points about The different aspects of the planet Using its sensors and probes. A crucially An important problem for NASA was how to Analyze telemetry data from the Curiosity rover 150 million miles away. For example, if NASA could correctly Predict the thermal parameters Curiosity’s drive time on Mars could Increase dramatically which could lead To new and groundbreaking discoveries Conversely, a mistake could seriously Affect the two billion dollar mission. Originally NASA operation personnel Painstakingly collected the thermal Telemetry data that experts later Analyzed. This took weeks and did not Allow for interactive analysis or data Collation or comparison of information Collected from several curiosity Instruments. This added cost risk and led To lost opportunities. The solution NASA Created an analytics cloud where Developers and end-users could safely Innovate together and experiment with New capabilities using the actual Spacecraft data.
There they prototype the New interactive real-time analytics tool Called streams as curiosity’s data Arrives from Mars into the pre-built Hardened operational system it is copied Into the agile Let’s cloud. We’re analysts can query and Interact with the data using real-time Visual analytics of over 1 billion Telemetry data points 26 million alerts And 100,000 images which is growing Daily they can also easily collaborate With experts located anywhere around the World. The data analysis of this massive
Dataset is done based on elastic search.
Nasa claims that using the elastic stack They get quick insight over multiple Days of data or even the entire mission. In just a few seconds without any delays. Let’s take another example of modern day Taxi or cab hailing apps like Uber. The Key value provided by these apps to the End consumer is that they can look for An available taxi or ride in the Vicinity of their current location and Book their ride in a matter of seconds. How exactly elastic search helps these Types of businesses what happens is that As a user you register on the user Platform and so does the driver then at The time of transaction user tracks the Location of the users and all the Drivers on their platform.
This real-time Location beta for both the users and the Drivers is stored in elastic search Elastic search stores this data in the Form of longitude and latitude when a User requests the cab elastic search Finds the user locations and then it Matches the location of the user with The location of any available drivers Near users proximity. So you see Elastic Search is a very versatile search engine Which is capable of processing Unstructured data like logs and also Structured data like location-based Geospatial coordinates.
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#Introduction To ELK
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