Coderfaire Data Networking for Developers
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This document discusses data networking concepts for developers. It provides overviews of firewalls, load balancers, caching, data flow mapping, and application performance monitoring. It explains why understanding these concepts is important for building applications with multi-tier architectures, RESTful APIs, and service-oriented architectures. Specific topics covered include packet filtering, access control lists, network address translation, load balancing algorithms, caching strategies, and using tools like New Relic for transaction tracing and performance monitoring.
Coderfaire Data Networking for Developers
- 1. D*ata Networking f*or D*evelopers
- 2. About m*e IT Infrastructure Architect CCS World’s Oldest Intern Foxycart [email protected] www.binarydelusions.com
- 3. O*verview • Why this is so important to you? • Networking Overview • Firewalls • Load Balancers • Caching • Data Flow Mapping • Application Performance Management • Sniffing for Troubleshooting
- 4. Why is this So Important? • n-Tier Architectures • RESTful APIs • Service Oriented Architectures • HATEOAS
- 5. Frame Dest Source Data Link Ethernet SOF Len Preamble Data FCS MAC MAC Packet Source Dest IP HCS Network Opt Pad Misc Data IP IP Segment Source Dest Transport TCP Opt Pad Misc Data CS Port Port An Ethernet Frame
- 6. Firewalls • Packet Filtering • Closed from outside • Allow return traffic to a request from an inside source
- 7. Firewalls: Allowing Traffic f*rom O*utside • “Poking Holes” • Access Control List Entries (Network) • Network Address Translation (NAT) (Transport) • Source, Destination, Protocol, Port
- 8. ACL NAT Firewall Web Service Database Load Balancer Firewall P*ositioning
- 9. Firewalls: Deeper • Stateful Inspection • Intrusion Prevention • Application • Next Generation
- 11. L*oad Balancers • Local/Global • VIPs • Server Farms • Real Servers • SSL Offloading • Stickiness
- 12. Server Farm Firewall Web Service VIP Database Load Balancer Firewall P*ositioning
- 13. L*oad Balancers: Types • Response Time • Bandwidth • Hashes (address, content, cookie, head, url) • Connection Count • Least Loaded (health) • Round Robin
- 14. Caching • Reducing Expensive Calls • Results vary by architecture... Greatly • Changing rapidly
- 15. Caching: Where • Content Delivery Networks • Hosts (FusionIO) • Content Network Devices (Switches, Load Balancers) • SANs (FastCache)
- 16. Firewall Web Service Database Load Balancer D*ata Flow
- 18. Sniffing D*emo
- 20. New Relic
- 22. App Server Stats
- 23. D*ashboarding
- 25. Make i*t Simple
- 26. Questions Rate me: https://joind.in/6722 Follow me: @jasonamyers