josephdillard Goto Github PK

https://github.com/JosephDillard/JosephDillard/blob/main/Joseph_Dillard_GIS_Architect_Developer.pdf

https://www.linkedin.com/in/joe-dillard-gis-architect

Wireshark The world's most popular network protocol analyzer https://www.wireshark.org/

BeEF is short for The Browser Exploitation Framework. It is a penetration testing tool that focuses on the web browser. https://beefproject.com/

theHarvester is a simple to use, yet powerful tool designed to be used during the reconnaissance stage of a red team assessment or penetration test https://github.com/laramies/theHarvester

OWASP https://owasp.org/www-project-zap/

tcpdump(8) - Linux man page https://linux.die.net/man/8/tcpdump

dnsenum is a perl script that enumerates DNS information https://github.com/fwaeytens/dnsenum

This is a Python command-line utility and library for using websites that can perform port scans on your behalf. https://github.com/vesche/scanless

https://mvnrepository.com/artifact/org.grails.plugins/spring-security-core/5.2.1

https://www.instagram.com/josephcdillard/

https://developers.arcgis.com/pricing/build-arcgis-solutions/

https://www.youtube.com/watch?v=7xqNyUOIRCs&ab_channel=ComputerHistoryArchivesProject

FREE SATELLITE IMAGERY SOURCES Google Earth Pro: https://www.google.co.uk/earth/about/versions/#download-pro

Sentinel Hub Playground: https://apps.sentinel-hub.com/sentinel-playground/

Zoom Earth: https://zoom.earth/

World Imagery Wayback: https://livingatlas.arcgis.com/wayback

15 Free Satellite Imagery Data Sources: https://gisgeography.com/free-satellite-imagery-data-list/

Free Satellite Imagery Sources: https://eos.com/blog/free-satellite-imagery-sources/

1. ArcGIS System Design

• System Design Strategies - http://www.wiki.gis.com/wiki/index.php/System_Design_Strategies
• ArcGIS Capacity Planning Tool Updates - http://www.wiki.gis.com/wiki/index.php/Capacity_Planning_Tool_updates
• ArcGIS Capacity Planning Tool - Dave Peters has Retired - Unkown if anyone else will take up his efforts on this.
• ArcGIS Architecture Series: Tools of an Architect - https://community.esri.com/t5/implementing-arcgis-questions/arcgis-architecture-series-tools-of-an-architect/td-p/22626

a. Questions before design

• What types of data?
• How many records are in the vector data that will be stored in the database?
• Data pulled into the systems? GIS systems or non GIS data? ETL?
• What kind of users will use this system - ArcGIS Editors in Pro or Desktop? End user are mostly non-GIS users mostly consuming information? Both?
• What types of app or functions will be built to use the system.
• How much downtime is acceptable?
• High available? Active - Active or Active - Passive - Two duplicate systems can be use to also increase the amount of users servers but will require twice the license as Active Passive.
• Geographically distributed system?

2. ArcGIS on AWS

• ArcGIS Enterprise in the cloud - https://enterprise.arcgis.com/en/server/latest/cloud/amazon/what-is-arcgis-server-on-aws.htm
• Deploying ArcGIS Enterprise in Amazon Web Services - https://www.youtube.com/watch?v=oXJknnFuKeY&ab_channel=EsriEvents

3. Load Balancing

• Layer 4 - https://www.nginx.com/resources/glossary/layer-4-load-balancing/
• Layer 7 - https://www.nginx.com/resources/glossary/layer-7-load-balancing/
• Vertical and Horizontal Scaling Explained - https://www.ibm.com/blogs/cloud-computing/2014/04/09/explain-vertical-horizontal-scaling-cloud/

4. AWS Scaling

• AWS Auto Scaling - https://aws.amazon.com/autoscaling/

5. Latency numbers every programmer should know - https://en.wikipedia.org/wiki/Power_of_two

L1 cache reference 0.5 ns Branch mispredict 5 ns L2 cache reference 7 ns 14x L1 cache Mutex lock/unlock 25 ns Main memory reference 100 ns 20x L2 cache, 200x L1 cache Compress 1K bytes with Zippy 10,000 ns 10 us Send 1 KB bytes over 1 Gbps network 10,000 ns 10 us Read 4 KB randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD Read 1 MB sequentially from memory 250,000 ns 250 us Round trip within same datacenter 500,000 ns 500 us Read 1 MB sequentially from SSD* 1,000,000 ns 1,000 us 1 ms ~1GB/sec SSD, 4X memory HDD seek 10,000,000 ns 10,000 us 10 ms 20x datacenter roundtrip Read 1 MB sequentially from 1 Gbps 10,000,000 ns 10,000 us 10 ms 40x memory, 10X SSD Read 1 MB sequentially from HDD 30,000,000 ns 30,000 us 30 ms 120x memory, 30X SSD Send packet CA->Netherlands->CA 150,000,000 ns 150,000 us 150 ms

1 ns = 10^-9 seconds 1 us = 10^-6 seconds = 1,000 ns 1 ms = 10^-3 seconds = 1,000 us = 1,000,000 ns Handy metrics based on numbers above:

Read sequentially from HDD at 30 MB/s Read sequentially from 1 Gbps Ethernet at 100 MB/s Read sequentially from SSD at 1 GB/s Read sequentially from main memory at 4 GB/s 6-7 world-wide round trips per second 2,000 round trips per second within a data center