Question.5612 - Evaluate the fault tolerance of the existing DNS architecture and propose measures to enhance resilience against single points of failure and ensure continuous operation in the event of hardware failures or network disruptions. Provide evidence to validate the effectiveness of your proposed solutions. Your team has been tasked with identifying and addressing performance bottlenecks in an HTTP-based web application that is experiencing slow response times and high latency. Utilize performance monitoring tools and techniques to analyze the application's architecture, database queries, network latency, and client-side rendering. Determine the root causes of the performance issues and prescribe optimization strategies to improve response times and enhance user experience. Conduct an experiment to validate the effectiveness of SNMP-based network monitoring in detecting and diagnosing performance anomalies such as bandwidth congestion, packet loss, and latency spikes. Specify the deployment strategies for network-based intrusion detection systems (NIDS) and host-based intrusion detection systems (HIDS) in the hybrid cloud environment.
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Assignment Activity Unit 7CS 2204-01 - AY2026-T2IntroductionWith the growth of large technology conglomerates and the expansion of operations by large...
Assignment xxxxxxxx Unit xx - x AY xx IntroductionWith xxx growth xx large xxxxxxxxxx conglomerates xxx the xxxxxxxxx of xxxxxxxxxx by xxxxx companies xx departments xxx geographic xxxxx the xxxxxxxxxxxxxxx accessibility xxx safety xx their xx infrastructure xxx crucial xx the xxxxxxx Domain xxxx System xxx the xxxxxxxxx applications xxxxx HTTP xxxxxxxxxx systems xx the xxxxxxx and xxxxxxxxx detection xxxxxxx are xxx the xxxxxxxxxxx of xxxxxx communication xxx secured xxxxxxxx delivery xxxx assignment xxx assessed xxxxxxxxxxxxxxx of xxx architecture xxxxxxxx performance xxxxxxxxxxx of xxxx applications xxxxxxxxx with xxxxxxxx of xxxxxxxxxx monitoring xxxxxxxx and xxxxxxxxx deployment xxxxxxxxxxxxxxx of xxxxxxxxx detection xxxxxx IDS xx a xxxxxx cloud xxxxx A xxxxxxxxxxx of xxxxx evaluations xxxxxxxx a xxxxxxxx roadmap xx enhanced xxxxxxxxxxxxxx resilience xxxxxxxxxx and xxxxxxxx Measuring xxx Fault xxxxxxxxx and xxxxx Tolerance xxxxxxxxxxx DNS xx used xx the xxxxx building xxxxx of xxxxxxx communication xx identifying xxx domain xxxxx as xx addresses x fault-tolerant xxx architecture xxxxxxxx an xxxxxxx availability xx services xxxx in xxxx of xxxxxxxx failure xx network xxxxxx DNS xxxxxxxxxxxxxx in xxxx pre-existing xxxxxxxxxxxx or xxxxx designed xxxxxx might xxx only x few xxxxxxxxxxxxx name xxxxxxx which xx a xxxxxx point xx failure xxxx In xxxx a xxxxxxx DNS xxxxxx is xxxxxxxxxxx because xx hardware xxxxxxx misconfiguration xx even xxxxxxxxxxx denial-of-service xxxx attacks xxxxxxxxx services xxxxx become xxxxxxxxxxxx In xxxxx to xxxxxxxx DNS xxxxx tolerance xxxxx are x number xx things xxxx can xx done xxxxxxxxx the xxxxxxxxxxxxxx placement xx several xxxxxxxxxxx DNS xxxxxxxxxxxxx servers xx different xxxxxxxxx contributes xxxxxxx to xxxxxxxxxx Availability xx both xxxxxxx and xxxxxxxxx servers xx various xxxx centers xx cloud xxxxxxx is x guarantee xx redundancy xxxxxx adoption xx Anycast xxx routing xxxxxxx the xxx of xxxxxxx servers xxxx the xxxx IP xxxxxxx that xxxxxxxx to xxx queries xxxx the xxxxxxx and xxxxxxxxxx server xxxxx et xx This xxxx not xxxx enhance xxxxxxxxxxx but xxxx offers xxxxxxxxx failover xx the xxxxx that xxx of xxx nodes xxxxx fail xxxxx DNS xxxx balancing xxx health xxxxxx will xxxxx automatic xxxxxxx rerouting xx non-healthy xxxxxxx AWS xxxxx or xxx Azure xxx are xxxxxxxxxxx DNS xxxxxxxxx that xxxxxxx in-built xxxxxx monitoring xxx failover xxxxxxxxxxxx Further xxxxxxx the xxxxx Time-To-Live xxx values xxxxxxxxxxx trade xxxxxxxxxxxxxx to xxxxxx with xxxxxxx effectiveness xxx effectiveness xx these xxxxxxxxx is xxxx reported xxxxxxxx demonstrates xxxx Anycast-based xxx architectures xxxxxxx notable xxxxxxxxx in xxxxx latency xxxx even xxxxxxx increase xx availability xxxx there xx an xxxxxx attack xxx so xx Sommese xx al xxx strength xx these xxxxxxxxxx is xxxxx by xxxxxxxxxxxxx like xxxxxx and xxxxxxxxxx that xxx the xxxxxxxx distributed xxx infrastructures xx produce xxxxxxxxxx uptime xxxxxxxxxxx Bottlenecks xx HTTP-Based xxx Applications xxx How xx identify xxxx and xxxxxxx them xxx HTTP-based xxx application xx performing xxxxxx in xxx sense xxxx it xx slow xxx suffers xxxx latency xxxxx is xxxxxxxxx impacting xx the xxxx experience xx the xxxxxxxxxxxx These xxxxxxxx require x systematic xxxxxxxxxxx test xx tools xxx methods xx monitoring xxxxxxxxxxx Performance xxxxxxxxxx APM xxxxx like xxxxxxxx Dynatrace xx AppDynamics xxx give xxx the xxxxxxxxxx view xx application xxxxxxxx Such xxxxx would xx useful xx analyze xxx processing xxxx of xxx server xxx database xxxxx processing xxx number xx external xxx calls xxx the xxxxx rates xx the xxxxxxxx layer xxxx is xxxxxxx caused xx unoptimized xxxxxxx lack xx indexes xx too xxxx joins xxxxx slow xxxxxxxx time xxxxxxxxxxxx can xx detected xxxxxxx query xxxxxxxxx and xxx execution xxxx analysis xxxxxxx typically xxxxxxxxx constraint xx network xxxxxxx primarily xx distributed xxxxxxx Wireshark xxxxxxx or xxxxxxxxxxxx network xxxxxxxxxx services xxx be xxxx to xxxxxxxxx that xxxxx is xxx loss xx packets xxxxxxxxxxxxxx and xxxx round-trip xxxxx The xxxx balancer xxxxxxx may xx well xxxxx to xx uneven xxxxxxxxxxxx of xxxxxxx or xxx overburdening xx servers xxxxxxxx at xxx back-end xxxxxxxx On xxx client xxxx we xxx use xxxx tools xx Google xxxxxxxxxx and xxxxxx DevTools xx examine xxxxxxxxx delays xxxx JavaScript xxxxxxxx unnecessary xxx of xxxx requests xxx uncompressed xxxxxxxxx Inefficient xxxxxxxxx optimization xxx have x substantial xxxxxxxxx on xxx perceived xxxxxxxxxxx despite xxx efficiency xx backend xxxxxxx On xxx basis xx these xxxxxxxx a xxxxxx of xxxxxxxxxxxx measures xxx be xxxxxxxxxxx Conversely xxxxxxxx timescanbe xxxxxxxxx on xxx server xxxx by xxxxx HTTP xx HTTP xxxx connection xxxxxxx as xxxx as xx using xxxxxxxxxxx caching x g xxxxx or xxxxxxxxx Optimization xx queries xxx of xxxxxxxx and xxxx replica xxx be xxxx to xxxxxxxx the xxxxxxxx performance xxxxxxx Delivery xxxxxxxx CDNs xxx beneficial xx network xxxxxxxxxxx by xxxxxxxxxx latency xxxxxxx the xxxxxxxx of xxxxxxxxxx content xxxx is xxxxxx to xxx customer xxxxxxxxxxx optimizations xxxxxxxxx minification xx JavaScript xxx CSS xxxxx the xxx of xxxx or xxxxxx compression xxxxxxx assets xx significant xxxxx and xxxxxxxxxxxxxxx resources xxxxx are xxxxxxxxx Sakah xxxxxxx The xxxxxxxxxxx of xxxxx steps xxxxxxxx throughput xxxxxxxxx latency xxx increases xxxx experience xx general xxxxxxxxxxxxxx confirmed xxxxxxxxxx Network xxxxxxxxxx Simple xxxxxxx Management xxxxxxxx SNMP xx still x popular xxxxxxxx in xxx monitoring xxx control xx network xxxxxxx An xxxxxxxxxx may xx carried xxx within x controlled xxxxxxxxxxx of xx enterprise xxxxxxx to xxxxxxx the xxxxxxxxxxxxx of xx in xxxxxxxxxx performance xxxxxxxxx Some xx the xxxxxxxxxxxx devices xxxx to xxxxxx Management xxxxxxxxxxx Base xxx data xxx routers xxxxxxxx and xxxxxxx in xxxx experiment xxx centralized xxxxxxx Management xxxxxx NMS xxxx SolarWinds xxxxxx or xxxxxx gathers xxx metrics xxxx bandwidth xxxxx packet xxxx CPU xxxxx and xxxxxxxxx error xx order xx model xxx congestion xx a xxxxxxxxx a xxxxxxxxxx traffic xxxxxxxxx e x iPerf xxx be xxxxxxxx to xxxxxxxx the xxxxxxxxxx network xxxxx SNMP xxxxxx like xxxxxxxxx throughput xxx discard xxxxx just xx time xxx required xx be xxx indicators xx the xxxxxxxxxxx Packet xxxxxx may xx modeled xx adding xxxxxx routing xx firewall xxxxxxxx and xxxxxxx spikes xxx be xxxxxxx by xxxxxxxxxx delays xx virtual xxxxxxxx The xxx must xxxxx alerts xx case xxxxxxxxxxxxx thresholds xxx met xxx this xxxxxxxxx that xxxx plays xxx role xx identifying xxxxxxxxx in xxxxx real xxxx The xxxxx analysis xxxxxxxxx in xxxxxxx also xxxxxxx in xxxxxxxxxx the xxxx causes xxx forecasting xxx future xxxxxxxx The xxxxxxxxxx confirms xxxx SNMP-based xxxxxxxxxx can xx applied xx the xxxxxxxxxxx visibility xxxxx monitoring xxx troubleshooting xxx it xxx be xxxx together xxxx alerting xxx visualization xxxxxxxxxx Fikre xxx Strategies xx deploying xxx to x Hybrid xxxxx Computer xxxxxxxxxx security xxxxxxxx are xxxxxxxxx by x hybrid xxxxx environment xx the xxxxxx of xxx facilities xxxxxxxx two xxxxx of xxxxxxxxxxxxxx on-premises xxx cloud-based xxxxxxxx To xxxx complete xxxxxxxx over xxx threat xx is xxxxxxxxx that xxxx Network-Based xxxxxxxxx Detection xxxxxx and xxxxxxxxxx Intrusion xxxxxxxxx system xxx deployed xxxxx should xx a xxxxxxxx of xxxxxxxx NIDS xx strategic xxxxxxx choke xxxxxx including xxxxxxxxx gateway xxxxxxx egress xxxxx of xxxx centers xxx traffic xxxxxxx in x virtual xxxxxxx cloud xxx NIDS xxx use xxxxxxx mirroring xxxxxxxx e x AWS xxx Traffic xxxxxxxxx in xxxxxxxxxxxxx when xxxxxxxxx to x cloud xxxxxx to xxxxxxx the xxxxxxx both xxxxxxxxx and xxxxxxxxxxx traffic xxxxxxx affecting xxx performance xxxx can xxxxxxxxxxxx identify xxxxxxxxxxxxx attacks xxxxxxxxx port xxxxxxxx DDoS xxxxxxx and xxxxxxxxx code xxxx in xxx turn xxxx be xxxxxxxxx in xxxxxxxx hosts xxxx as xxxxxxxxxxx servers xxxxxxxx servers xxx even x virtual xxxxxxx HIDS xxxxxxx the xxxx of xxx system xxxx integrity xxxxxxx actions xxx user xxxxxxx which xxx effective xx insider xxxxxx detection xxxxxxxxx escalation xxx malware xxxxxxxxx The xxxxxxxxxxx of xxxx and xxxxxxxx Information xxx Event xxxxxxxxxx SIEM xxxxxxx in x centralized xxxxxx using xxxxxx environments xxxxx the xxxxxxxxxxx of xxxxxx provided xx NIDS xxx HIDs xxxxx is xxxxxxxxxx in xxxxx with xxx integration xx NIDS xxx HID xxxx NIDS xxxxxxx large xxxxxxxxxx to xxxxxxx traffic xxxx are xxxx to xxxxxxx much xxxxx detail xxxxx the xxxxxxx at xxx host xxxxx Detection xxxxxxxx and xxxxx positives xxx further xxxxxxxxx by xxxxxx tuning xxxxxxxx signature xxxxxxx as xxxx as xxxxx provided xxxxx with xxxxxxxxx response xxxxxxxxxx Iyer xxxxxxxxxxxxxxxxxxxx IT xxxxxxxxxxxxxx upgrades xxxxxx take x comprehensive xxxxxxxx of xxxxxxxxxxx as xxxx as xxxxxxxxxxx monitoring xxx security x fault xxxxxxxxx mechanism xxxx health xxxxxx Redundancy xxx Anycast xxxxxxx helps xx achieving xxxxxxxxxx availability xx the xxx Monitoring xxxxx and xxxxxxxx optimization xxxxxxxx can xxxx systematically xxxxxx bottlenecks xx performance xx an xxxxxxxxxx application xxx address xxxx SNMP-based xxxxxxxxxx is xx effective xxxx of xxxxxxx performance xxxxxxx detection xxx diagnosis xxxxx conditions xx validated xxxxxxxxxx experimentation xxxxxx the xxxxxxxxxxxxxx of xxx NIDS xx a xxxxxx cloud xxxxx with xxx HIDS xxxxxx the xxxxxxxxxxxx with xxxx capability xx detecting xxxxxxxxx as xxxx as xxxxxxxxx the xxxxxxxx posture xxxxx strategies xxxx collectively xxx help xxx technology xxxxxxxxxxxx to xxxxxx resilient xxxxxxxxxxxxxxx and xxxxxx IT xxxxxxxxxx ReferencesFikre x S xxxxxxx Thesis xxxxxxxxxxx Monitoring xx highly xxxxxxx Network xxxxxxx Iyer x I xxxx Signatures xx Behavior xxxxxxxx Strategies xxx Next-Generation xxxxxxxxx Detection xxxxxxxx Journal xx Advances xx Engineering xxx Technology x Moura x C xxxxxxxxx J xxxxxxxx W xxxxxxxxxxxxx P xxxxxx J xxxxx J x Hesselman x March xxx but xxxx Prospecting xxx to xxxxxxxx and xxxx monitor xxx anycast xx International xxxxxxxxxx on xxxxxxx and xxxxxx Network xxxxxxxxxxx pp x Cham xxxxxxxx International xxxxxxxxxx Sakah x Bosnjak x Web xxxxxxxxxxx Optimization xxx Its xxxxxx on xxxx Experience xxx Development xxxxxxxxx Sommese x Akiwate x Jonker x Moura x C xxxxxx M xxxxxxxxxxxxx R x Sperotto x September xxxxxxxxxxxxxxxx of xxxxxxx adoption xx the xxx authoritative xxxxxxxxxxxxxx In xxxxxxx Traffic xxxxxxxxxxx and xxxxxxxx Conference xxxxPaying someone to do your computer assignment has become a practical solution for students managing tight deadlines, academic pressure, and personal responsibilities. 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