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1.
market overview and current situation
· the current high-defense servers in the united states mainly focus on ddos cleaning (scrubbing), anycast nodes, and multi-line bandwidth.· suppliers are divided into three categories: computer room type (own backbone), cloud high-defense and cdn + cloud, with large differences in price and service depth.
2.
clarify needs: do business and risk assessment first
· step 1: list business ports, traffic peaks, normal concurrency and critical time windows.· step 2: estimate the maximum concurrency and bandwidth peak (using access logs or monitoring data), and mark key slas.
3.
bandwidth and traffic calculation practice
· calculation formula: peak bandwidth (mbps) = number of requests per second × average size of a single request (kb) × 8/1024.· practical operation: export the traffic logs of the last 30 days and aggregate them by minutes to get the 95th percentile as the procurement benchmark.
4.
protection technology and level selection
· determine whether always-on (always online cleaning) or on-demand (trigger switching) is required.· prioritize the cleaning capacity (gbps/tbps), cleaning strategy (behavior baseline, protocol/packet characteristics) and whether anycast/bgp switching is supported.
5.
supplier screening and evaluation steps
· step 1: list candidate vendors and check their public cleaning peaks, pop distribution and customer cases.· step 2: ask for a trial or poc, conduct traffic guidance experiments and record the interception rate and manslaughter rate.
6.
key points for contract and sla negotiation
· necessary terms: cleaning response time, availability guarantee, compensation details, port/rule restrictions and additional traffic billing.· practical suggestions: write the "cleaning peak" and "manslaughter rate upper limit" into the contract, and agree on the frequency of monthly reports and drills.
7.
detailed steps for deployment and online deployment
· step a (preparation): prepare the public ip, certificate, backend real server and health check script.· step b (dns/bgp switchover): reduce dns ttl to 60s, or configure bgp anycast/anycast with the provider; test switchover and rollback.
· step c (firewall/application layer): enable iptables/nftables sample rules on the server, enable fail2ban and nginx rate limiting (example: limit_req_zone $binary_remote_addr zone=one:10m rate=10r/s).
8.
post-launch testing and verification checklist
· verification items: normal business response, cleaning delay, misjudgment rate, log integrity.· practical commands: use mtr/traceroute to check routing; use curl to test applications; use tcpdump -i eth0 -s 0 -w sample.pcap to capture packets for supplier analysis.
9.
operation, maintenance and optimization of daily operations
· daily 1: establish monitoring alarms (traffic, number of connections, error rate) and configure alarm channels.· daily 2: regularly update the black and white lists, adjust cleaning rules, and conduct traffic drills and switching drills every quarter.
10.
fault drill and migration steps (checklist for drill)
· step 1: develop an exercise plan, notify relevant teams and set rollback points.· step 2: simulate an attack or use traffic replay, guide it to the cleaning node, monitor whether the service is available and record the timeline; after the exercise, roll back dns/bgp and compare the performance differences.
11.
faq: what are the most critical indicators when choosing a high-defense server?
q: what are the most critical indicators when choosing a high-defense server?answer: the key indicators are cleaning capacity (ratio to business peak value), response delay (switching/cleaning trigger time), misjudgment rate and sla compensation terms. in practice, priority is given to ensuring that the cleaning capacity is ≥ 3× the expected peak value and paying attention to anycast node distribution.
12.
faq: how do i do a physical verification before leasing?
q: how do i do a physical verification before leasing?answer: require the supplier to provide a poc, divert traffic to the cleaning node and conduct stress testing; use packet capture and log comparison to determine misjudgments; test the dns/bgp switching and rollback process, and record the time and business impact.
13.
faq: how to continuously reduce risks and costs after deployment?
q: how to continue to reduce risks and costs after deployment?answer: strategies include using cdn and waf for pre-filtering, enabling cleaning on demand, optimizing application layer current limiting and caching, regularly auditing rules to reduce accidental killings, and negotiating 95th percentile billing instead of peak billing to optimize costs.
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