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Oct 10, 2023 •154 likes •296 views

DNS Traffic Management and DNS data mining Making Windows DNS Server Cloud Ready ~Kumar Ashutosh, Microsoft Windows DNS Server Widely deployed in enterprises Fair presence in the DNS resolver space Standards compliant and

  1. DNS Traffic Management and DNS data mining Making Windows DNS Server Cloud Ready ~Kumar Ashutosh, Microsoft

  2. Windows DNS Server ▪ Widely deployed in enterprises ▪ Fair presence in the DNS resolver space ▪ Standards compliant and interoperable ▪ Secure and scalable

  3. Needs of DNS server in cloud ▪ Policy based traffic management ▪ Audit and billing mechanism for DNS service ▪ The DNS data mine and analytics ▪ Security and High availability

  4. Policy based Traffic Management ▪ DNS Policy is Windows DNS Server construct that allows DNS administrators to control the DNS Query processing in order to achieve : ▪ Global Traffic Management, ▪ Application Load Balancing, ▪ Intelligent DNS responses based on communication protocol (IPV4 or V6) or transport protocol (UDP and TCP), ▪ Applying tenant specific filters for black holing, parental control etc. ▪ Split-Brain DNS Deployment … and much more

  5. Anatomy of a policy Any combination of Client Subnet, Server Interface IP, FQDN, Internet protocol (IPV4/V6), Transport Protocol (UDP/TCP), Time Of Day, Query Type Criteria ? If policy matches what action to take : ALLOW, DENY, IGNORE Action ? If Action is allow, what data to respond with and in what ratio. Content

  6. Capabilities Location aware responses Time of day based policies Traffic Management Time of day Improve availability of ? critical applications by Split Brain DNS failover policies High Split Brain Availability ? Application Load Balancing based on the performance Black Hole and Filters of host Load Balancing Filters

  7. DNS Audit Trail What Who changed? -For Reporting changed? What? Who? When? -Audit Trails -Zone -DC admin -diagnostics -Server -Tenant admin -Record

  8. DNS Data mine Data Data Pattern Actionable collection Preparation discovery Information

  9. DNS Data mine : Data Collection ▪ Collect data from every DNS server ▪ Centralized system for collection ▪ Real time collection with minimal performance impact ▪ Kinds of Data collected: ▪ All DNS transactions ▪ Queries/responses ▪ XFR ▪ Dynamic updates ▪ Server state ▪ Health indicators ▪ Performance counters

  10. DNS Data mine : Data Preparation ▪ Cleaning the data ▪ Data transformation ▪ Creating relational databases for different purposes ▪ Related calculations – like amplification factor, frequency etc. ▪ Collation of data across the server farm ▪ Correlation of data ▪ Across multiple servers ▪ Between single user ▪ Relationship with state of the server. ▪ Rolling over with knowledge transfer.

  11. DNS Data mine: Pattern Discovery ▪ Domain name analysis, ▪ Amplification analysis ▪ User behaviour analysis ▪ Client subnet analysis ▪ Security analysis

  12. DNS Data mine: Actionable Information ▪ User behaviour analytics ▪ Load model ▪ DDoS detection

  13. Thank You

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