Real time Network analysis with Apex
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My Internship Presentation on the project "Real time Network analysis with Apex" along with QA Testing Automation.
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Timothy Spann
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* https://www.linkedin.com/pulse/2021-schedule-tim-spann/
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Contact Activeeon
Website: https://www.activeeon.com/
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Activeeon is an open source ISV providing enterprise open source job scheduling and workload automation solutions.
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Real time Network analysis with Apex
- 1. Internship Semester Presentation Real Time Network Analysis with Apex developed at DONE BY: UNDER THE GUIDANCE OF: AMEYA VIJAY GOKHALE DR. SWATI AHIRRAO 14070121505 ASSOCIATE PROFESSOR (CS&IT), B.TECH (IT) SYMBIOSIS INSTITUTE OF TECHNOLOGY, PUNE
- 2. Contents Objective Introduction to BIG DATA / HADOOP Software Requirement Specification (SRS) Real time Network Analysis with Apex Operators & Working DataTorrent RTS WebGUI Testing & Automation Future scope
- 3. Objective Work Environment • To create an Apex App for Real time Network Analysis • To Automate the unit testing of DataTorrent RTS WebGUI • Handling Big Data • Open-source • Their Products
- 4. Introduction to BIG DATA / HADOOP Big Data – large amount of data 3 V’s – volume, variety and velocity Hadoop – distributed systems Why Hadoop ? • Flexible • Scalable • Efficient • Effective
- 5. SRS Software Tools Operating System Ubuntu 16.04.1 LTS 64-bit Scripting Language Java 1.8, Python 2.7, Shell Scripting Server Administration Secure Shell (ssh) Shell Bash Text Editor (IDE) JetBrains IntelliJ IDEA & Pycharm Build System Apache Maven Version Control Git System Environment Hadoop Distributed File System (HDFS) Product in Use Datatorrent RTS 3.8.0
- 6. SRS Hardware Tools Processor Intel® Core™ i7-4700MQ Frequency 2.4Ghz Cores 8 RAM 8GB DDR3 NIC Gigabit Ethernet Storage 1TB
- 7. Gantt Chart
- 8. Slack
- 9. Real time Network Analysis Analysing network traffic in real time Analyses usage according to timeBucket Handles ~90000 tuples/second
- 11. Flow Chart
- 12. Operators Business Logic Implementation Made light weight with independent tasks. 7 operators Ports
- 17. DimensionsComputation Aggregators Hadoop Distributed Htable (HDHT)
- 22. DataTorrent RTS WebGUI Testing & Automation Robot Framework Acceptance Test-driven development (ATDD) Keywords Libraries
- 24. Life Cycle
- 25. TC Documentation
- 26. TC
- 27. Directory Structure Tree Structure Variables, Libraries, TC’s and Log
- 28. LOG
- 29. Future Scope Trend Analysis along with Usage Better handling of all packets Partitioning
- 31. THANK YOU