Transcript ProxySG Performance

PROXYSG PERFORMANCE
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PROXYSG PERFORMANCE
WEBCAST
PAUL KAO
Director Product Management
[email protected]
December 16, 2014
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AGENDA
 ProxySG Overview
• Architecture (SGOS, CW, SW, Policy checkpoints)
• System resources/metrics
 Performance Model
 Factors Impacting Performance
• Authentication, ICAP, Policy, SSL, misc.
 Critical Resource Monitoring
• CPU, Memory, CW, network
 Troubleshooting Performance Problems
• Baseline, CPU monitor, Policy trace, Sysinfo
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PROXYSG OVERVIEW
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SGOS OVERVIEW
 SGOS is a secure, hardened and proprietary OS developed
by Blue Coat to be robust and scalable at the highest levels
of performance
 It is unlike other operating systems
• Microkernel, message pass architecture using “admin” and “worker”
model for processes
• Run to completion semantics
• Uses an object store (cache engine/cache admin), no file system, no
directory structure
 Policy is deeply integrated into SGOS
• Checkpoints at entry/exit of proxy traffic flow to evaluate policy
transaction
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SGOS ARCHITECTURE
 Client Worker (CW) – Processes HTTP session between SG and client
 Server Worker (SW) – Processes HTTP session between SG and OCS
 Retrieval Worker (RW) – Pipeline and keeps the content of the cache fresh
 Specialized Worker – Handles a specific protocol, like streaming, CIFS, etc.
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POLICY CHECKPOINTS
server_url.domain=
client.address=
set(response.header.Set-Cookie, “x")
http.response.apparent_data_type=
 Workers provide available information to policy
 Policy transaction re-evaluated at each check point
 Policy decisions are stored a policy ticket
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PROXYSG APPLIANCE
PHYSICAL RESOURCES
 Core appliance resources are:
• CPU, Memory, Disk, Network Interface
 CPU
• No CPU throttling - continue to handle more load until appliance is at
CPU limit (assuming other resources are available). At this point,
requests take longer to process, with longer transaction times.
 Memory
• Threshold Monitor (TM) engages at 80% memory pressure, goes into
regulation, which limits HTTP acceptance to reduce rate of processing
new incoming connections.
 Disk
• At high disk utilization, back off mechanisms will engage to maintain
throughput at the expense of cache efficiency (disk read/writes)
 Network Interface
• Will trigger event log if network interface is saturated (TCP livelock)
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PROXYSG APPLIANCE METRIC
USER COUNT & CLIENT WORKER
 Appliance has fixed CPU/Memory/Disk/Network resources
 One additional metric – “Licensed Client IP”
• From a sizing perspective, “Licensed Client IP” is the maximum
unique IPs that a given SG appliance should handle
• Usually, Client IP is synonymous with user/employee
 Licensed Client IP
• A “soft” limit on HW appliances
• A “hard” limit on Virtual appliances
• Performance of appliances constrained by available number of
HTTP/TCP-Tunnel “Client Workers” (CW) for processing
• Each appliance model has it’s own CW limit
CW limit does not limit any other TCP session on SG
CW limit is only a count of active client side sessions
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PERFORMANCE MODEL
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PERFORMANCE MODEL
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FACTORS IMPACTING PERFORMANCE
1.
2.
Network deployment
3.
Authentication mode
4.
DNS, Content Filtering
5.
ICAP REQMOD (DLP)
6.
7.
Client
ICAP RESPMOD (CAS)
System services, logging
8.
9.
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Policy
SSL
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PERFORMANCE FACTORS
1. CLIENT
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1. CLIENT SIDE
 Client to SG connection (client side)
•
•
•
•
Limited by HTTP/TCP-Tunnel CW
User (client IP) is not an enforced metric. User is a model for sizing
CW limit does not include other TCP sessions (auth, ICAP, bypass,..)
Don’t confuse TCP-Tunnel proxy CW as the TCP connection limit!!!
 S-Series hardware
• S-series models – 5 connections/per user (user = unique client IP)
S200-10 S200-20 S200-30 S200-40 S400-20 S400-30 S400-40 S500-10 S500-20
Users
Max CW
400
1,200
2,600
5,000
6,000
2,000
6,000
13,000
25,000
30,000
14,000
25,000
30,000
50,000
70,000 125,000 150,000 250,000
 Examples:
• Financial trader, 50 conns per user
• Kiosk, 1 connection per user
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PERFORMANCE FACTORS
2. NETWORK DEPLOYMENT
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2. NETWORK DEPLOYMENT
 Network 101
• Link/duplex settings
 WCCP
• GRE vs L2
• Set MTU appropriately to avoid fragmentation with GRE
 Physically Inline (bridging)
• Good for smaller sites
• Larger sites with significant non web (bypass) traffic that can
consume network resources
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PERFORMANCE FACTORS
3. AUTHENTICATION MODE
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3. AUTHENTICATION
 Evaluated at CI
 Choice of Authentication mode can impact performance
• Explicit proxy with NTLM: SG issues a 407 challenge for each
connection
• IP Surrogate: After initial authentication, will use authentication cache
• Kerberos: credentials validated without need to contact DC
 NTLM does not scale well
• NTLM credential cannot be cached, and must be validated by DC
• Default Windows configuration processes only one request at a time
via Schannel
• Exacerbated by latency and load on DC (SG-DC or SG-BCAA-DC)
 Kerberos preferred for scalability
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PERFORMANCE FACTORS
4. DNS, CONTENT FILTERING
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4. DNS, CONTENT FILTER
 DNS
• Not a high consumer of CPU, but can be cause of latency
• If external DNS servers are slow/overloaded, Proxy will amplify the
problem
• Use caution for policies/logging that trigger RDNS lookups
 Content Filtering (evaluated at Client In)
• BCWF
– Efficient categorization for high performance
– Settings for lower memory footprint appliances
• Web Pulse DRTR
– Minimal overhead
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PERFORMANCE FACTORS
5. ICAP REQMOD (DLP)
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5. ICAP GENERAL & ICAP REQMOD
 ICAP – Internet Content Adaptation Protocol
• Used to vector both REQuest and RESPonse traffic for scanning
 ICAP – General Performance considerations
•
•
•
•
•
Persistent connection with re-use
Sufficient ICAP connections to handle throughput or queuing will occur
Relatively “expensive” – content must be sent over ICAP
Policy dictates how much content is sent (ICAP best practices)
Worst case is all content sent to ICAP
 ICAP REQMOD evaluated at CI (before Server Out)
 Scan data on outbound request
• Scanning POST body data
 Incremental cost due to low volume of data (POST body data)
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PERFORMANCE FACTORS
6. ICAP RESPMOD (CAS/AV)
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6. ICAP RESPMOD
(CONTENT ANALYSIS)
 Evaluated at Server In (SI)
 Higher cost due to volume of incoming request data
 For ICAP RESPMOD, cache to disk for performance (no
need to return payload when response is 204 No
Modification)
 Infinite Streams
• ICAP deferred connections
• ICAP mirroring (SG6.5)
 Secure ICAP
• SSL cost in initial connection setup
• SSL overhead of bulk encryption low
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PERFORMANCE FACTORS
7. SYSTEM SERVICES
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7. SYSTEM SERVICES
 Access logging
• Log entry written when connection is complete
• A few percent overhead when enabled
• Obviously more overhead if multiple log facilities in use
 Health Checks
 SNMP
 Attack Detection
 Failover, SGRP (VRRP)
 Connection Forwarding
 Scripts, polling of local policy
 Snapshots, Debug logs
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PERFORMANCE FACTORS
8. POLICY
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8. POLICY AND CPU
 Policy impact can range from minimal
to majority of CPU cost on SG
 Look for policy best practices
• Avoid regexes, order rules most likely to
match first, group rules, etc.
 A point of reference
• Policy used for SWG/ICAP/SSL consumes
about 15% of total CPU
– Scale appropriately for higher/lower policy
usage
– Variation across platforms
– Only use as a rule of thumb
– Not guaranteed to be exact
– May change in the future
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PERFORMANCE FACTORS
9. SSL
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9. SSL INTERCEPT
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CERTIFICATE EMULATION STATISTICS
(SG6.5.5.1)
SSL Statistics (in Sysinfo and SSL/Statistics URL)
https://SG_IP:8082/SSL/statistics
Certificate Emulation
SPS51
Total certificates emulated
2,264
SPS52
Total RSA 2048 bit key certificates emulated
2,250
SPS53
Current cached emulated server certificates
1,078
SPS54
Total emulated server certificates added to cache
1,390
SPS55
Total emulated server certificates removed from cache due to timeout
0
SPS56
Total emulated server certificates removed from cache due to maxsize
0
SPS57
Total emulated server certificates removed from cache due to signature mismatch
312
SPS58
Total emulated server certificates removed from cache due to config changes
0
SPS59
Total emulated server certificates add to cache failures
874
SPS61
Total server certificate cache successful lookups
42,109
SPS62
Total proxy certificates emulated
5
SPS63
Total certificate emulation failures
0
% certificate emulation change = SPS51 / (SPS51 + SPS61)
In steady state, % of new emulations should be very small
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SSL & WILDCARD CERTIFICATES
 Wildcard certificates (e.g., *.google.com and others)
•
•
•
•
•
Google and other properties starting to use wildcard certificates
Wildcards allow certs with the same CN to appear on multiple servers.
Different servers have different certs (different expiration, keys, extensions, etc.)
SG’s emulated certificates are cached using “CN” as the key value
SG is seeing these different certs all with the same CN, causing a collision in the
certificate cache and forcing SG to re-emulate certificate
• This can lead to high CPU on all SG6.x versions (6.2 through to 6.5)
• Future certificate cache enhancement planned, use policy resolution below
 Wildcard certificates Resolution
• Install the following policy (creates a unique instance for each certificate)
<ssl-intercept>
ssl.forward_proxy(https) ssl.forward_proxy.splash_text("$(xrs-certificate-serial-number)$(x-rs-certificate-validfrom)$(x-rs-certificate-valid-to)")
• Monitor efficacy using % certificate emulations (=SPS51 / (SPS51 + SPS61))
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SSL PROXY CERTIFICATE CACHE
 Advanced URL https://SG_IP:8082/sslproxy/certcache
SSL Proxy Certificate Cache
URL_Path /sslproxy/certcache
<PRE>Certificate Cache Contents
Number of cache entries: 1078
Common Name, Splash Text, Splash URL, Server Keyring
rtax.criteo.com,, $(x-rs-certificate-serial-number)
cloudfront.net,,
www.bgov.com,,
s3.wpc.edgecastcdn.net,,
www.palottery.state.pa.us,,
beacon.walmart.com,,
$(x-rs-certificate-valid-from)
$(x-rs-certificate-valid-to)
*.linkedin.com, 020000000001456FAAB168CFFE4A Apr 17 12:30:30 2014 GMT Apr 17 12:30:30 2015 GMT,
beis.cc.iup.edu,,
www.syncaccess.net,,
*.widget.custhelp.com,062306473BAC372720E3496C661336F0Feb 28 00:00:00 2014 GMTMar 30 23:59:59 2015 GMT,
ads.dotomi.com,02F7CASep 3 03:33:55 2014 GMTNov 5 14:50:00 2015 GMT,
*.wer.microsoft.com,28DB34EB000100005898Apr 4 17:56:38 2013 GMTApr 4 17:56:38 2015 GMT,
*.ebay.com,,
*.googleusercontent.com,,
*.reson8.com,D3C03378DC74A2ABF36132E69E273C45Jun 2 00:00:00 2014 GMTJul 21 23:59:59 2015 GMT,
stage.tracker.springserve.com,,
services.addons.mozilla.org,,
*.tapad.com,024906Jun 2 08:10:18 2013 GMTSep 3 03:30:13 2016 GMT,
*.dropbox.com,,
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WILDCARD CERTIFICATE RESOLUTION
VPM
 From VPM, edit SSL-Intercept layer
Click on "Splash Text" and paste
the below text in the box:
$(x-rs-certificate-serialnumber)$(x-rs-certificate-validfrom)$(x-rs-certificate-valid-to)
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CRITICAL RESOURCE MONITORING &
TROUBLESHOOTING PERFORMANCE
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CRITICAL RESOURCE MONITORING
 What key metrics should be monitored?
•
•
•
•
•
CPU Utilization
Memory Pressure
Network Throughput
Client side HTTP connections (CWs)
Response time through ProxySG (and DNS response time)
 Establish a Baseline and Peak utilization
•
•
•
•
Beware trend averages over long time intervals that “flatten” peaks
Identify true peak CPU utilization in busy hour
Peak CPU typically correlates with memory and connections
Baseline CPU distribution across components with CPU monitor
 SNMP MIBs
• See BLUECOAT-SG-PROXY-MIB.txt for resource monitoring
• Also BLUECOAT-SG-ICAP-MIB.txt has been added in SG6.5
 See “Critical Resource Monitoring of the ProxySG” on BTO
• Has the connection limit for each platform
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TROUBLESHOOTING PERFORMANCE
 Common performance issues
• High CPU
• Slowness
 Easier to troubleshoot if you have already established a point of
reference (baseline)
 Issue repeatable?
 Time of occurrence
• Over a long period of time?
• Over a short period of time?
• Intermittent?
 Tools
• CPU Monitor
• Sysinfo snapshots
• Policy trace
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TROUBLESHOOTING PERFORMANCE
HIGH CPU
 External Network Factors
• Typically not going to be cause of high CPU on SG
 Dependent Factors
• Problem with Authentication server or Auth configuration (Kerberos falling back to
NTLM)
 Internal factors
•
•
•
•
•
Audit config changes to SG – complex policy/regexes?
Loops – authentication, forwarding loops
Upgrade of SG version/bug?
Undersized?
Self inflicted - enabling snapshots/debug logs too frequently?
 Traffic patterns that change SG resource utilization
•
•
•
•
Change in traffic pattern resulted in lack of available resources
Change in traffic pattern hitting expensive policy
Under attack? – Viruses, rogue apps, open proxy
Bug?
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TROUBLESHOOTING PERFORMANCE
HIGH CPU
 Data collection
• Enable CPU monitor
• Create and enable 5 min snapshots
• Don’t change the existing daily or hourly snapshot values
 Is high CPU constant, randomly spiking or just at peak busy
hour?
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TROUBLESHOOTING PERFORMANCE
HIGH CPU EXAMPLE 1
 Example-1
>>>> CPU is high for Policy evaluation
 CPU Monitor
Lots of regex rules in policy
Very complex policy (lots of rules)
Authentication problem
High number of transection per sec
 CPU 0
97%

Policy evaluation - HTTP
81%

HTTP and FTP
5%

Object Store
5%

Access Logging
2%

Miscellaneous
1%
 CPU 1
94%

Policy evaluation - HTTP
75%

TCPIP
11%

HTTP and FTP
5%

DNS service
1%
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TROUBLESHOOTING PERFORMANCE
HIGH CPU EXAMPLE 2
 Example-2
>>>> CPU is high in Object Store
 CPU Monitor
System had hard time to read or
write anything to disk.
Indicate problem with Disk.
 CPU 0

100%
Object Store


ce_admin
Access Logging
 CPU 1



98%
97%
1%
19%
TCPIP
8%
tcpip
HTTP and FTP
7%
6%

http
1%

kernel
1%


Policy evaluation - HTTP
policy_enforcement
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1%
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TROUBLESHOOTING PERFORMANCE
HIGH CPU EXAMPLE 3
 Example-3
>>>> CPU is high across multiple components
 CPU Monitor:
 Configured interval duration:
5 seconds
 Current interval complete in:
2 seconds
 CPU 0
CPU is almost evenly distributed
between
HTTP and FTP
TCPIP
 Object store
Policy evaluation
Load/sizing issue
77%

TCPIP
31%

HTTP and FTP
17%

Object Store
13%

Policy evaluation - HTTP
7%

DNS service
1%

Access Logging
1%

Miscellaneous
1%
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TROUBLESHOOTING PERFORMANCE
HIGH CPU EXAMPLE 4
 Example-4
>>>> CPU is high in TCP
 Configured interval duration:
5 seconds
 Current interval complete in:
0 seconds
 CPU 0
Too much bypass traffic.
Too many TCP connections.
May be a TCP attack.
Too many entries in time wait
state.
35%

Object Store
14%

HTTP and FTP
13%

Policy evaluation - HTTP
3%

Miscellaneous
2%
 CPU 1
100%

TCPIP

HTTP and FTP
5%

Policy evaluation - HTTP
1%

DNS service
1%
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TROUBLESHOOTING PERFORMANCE
SLOWNESS
 Can be difficult to troubleshoot, especially if intermittent
 External Network Factors
• audit change requests to (upstream) network (over last week)
• E.g., new FW installed last weekend
• Network: Packet loss, retransmissions, asymmetric routing
 Dependent Factors
• DNS, Authentication, 3rd party ICAP servers
 Internal factors
• Audit config changes to SG, starting with most recent (work
backwards to last 2-3 days if intermittent problem)
 Traffic patterns that change SG resource utilization
• SSL ciphers
• Attack/bot
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TROUBLESHOOTING PERFORMANCE
SLOWNESS
 Data collection
• May require multiple rounds of troubleshooting (PCAP & Sysinfo snapshots)
– Easiest to target specific client or server to test
– May need to test with different configurations and capture with different filter to
narrow down the issue
• Important to analyze Snapshots.
– Check if resource load are high (e.g. CPU, memory, HTTP worker and etc.)
– Check on any priority 1 events & health check occurred during the time of the issue.
– Check on the trend of the issue (how frequent it occurs and any correlation with other
components or stats)
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SUMMARY
 ProxySG Architecture
• Appliance resources, CW limit
 Performance Model
 Factors Impacting Performance
• ICAP (built into sizing model/guide)
• Policy (sky is the limit)
• SSL (SSL traffic mix amount of SSL decryption)
 Resource and Health Monitoring
• Critical resource monitoring
• Health monitoring
 Troubleshooting
• Importance of establishing a performance baseline
• Tools to troubleshoot performance
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Questions?
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PROXYSG PERFORMANCE WEBCAST
QUESTIONS
 Q1:Is a Client Worker (CW) created for every HTTP
connection? or a single CW can handle multiple HTTP
connections?
 Q2: The cost with the wildcard certificates -- does that
generate a lower "cost" in a reverse proxy model where the
wildcard cert is on the proxy, not on the OCS/Internet?
 Q3: How does Licensed Client IP correlate to Concurrent
users?
 Q4: Is it possible to monitor the number of client
connections per IP in the SG?
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PROXYSG PERFORMANCE WEBCAST
QUESTIONS
 Q5: So I notice that BC has recommended the S-series to
replace many 510/810/300/600 ProxySG's - does this mean
the S-series is exactly the same or are they truly an
improvement in performance and connection numbers?
 Q6: In "Critical Resource Monitoring" Guide talks about
Connection limit per device... that's the same than CW that
has that particular model?
 Q7: What about multiple users on a single Citrix server?
Licenses
 Q8: Client side, how will you typically handle the reach of
TCP limit (65,000) for a specific IP in the larger models that
could handle a lot more connections?
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PROXYSG PERFORMANCE WEBCAST
QUESTIONS
 Q9: Note: IP surrogate won't work in a NATed load balancer
configuration. About IP surrogate, do you have advice
about implementation. Especially about the possibility that
one IP can be shared between users (hiding IP or Citrix
users)?
 Q10: we are currently logging the category of URLs. What
kind of impact can we expect if we add the application field
in our logs for BCWF?
 Q11: where can we view utilization on the proxy like the pie
graph like the BC SWG policy pie chart?
 Q12: Can you talk about ECDHE, from a performance
standpoint, what should the default policy be set to?
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PROXYSG PERFORMANCE WEBCAST
QUESTIONS
 Q13: for ICAP, will the proxy perform better if a dedicated
interface is assigned for ICAP communication versus the
same interface for all other user traffic?
 Q14: Today's sizing guides assumes 15% of SSL traffic.
That's not realistic. At least 60% of Web browsing is SSL. Is
there any sizing guide that assumes higher SSL percentage
use? We're having serious problems sizing the right SG to
our customers.
 Q15: Will be sysinfo "reader" (tool that support rep uses)
available for channels?
 Q16: For troubleshooting we saw recommendations to add
snapshots every 5 minutes. How much free CPU resources
(%) should be free to enable this without generating a new
problem ?
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PROXYSG PERFORMANCE WEBCAST
QUESTIONS
 Q17: When the ProxySG is in high CPU/high memory panic
mode.. is there anything we can do to bring that down other
than reboot the device?
 Q18: Regarding the CW limit: We've long seen it as our
primary bottleneck. Does Bluecoat publish the CW figures
publically yet, or do we have to ask our VAR to get the
figures on the proxy models at purchase time?
 Q19: does rebooting the proxy impact performance from a
caching standpoint?
 Q20: Hi, regarding memory pressure - do I understand
correctly that while the proxy is in the regulation state, it
just regulates NEW client connections but keeps
processing the active ones?
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PROXYSG PERFORMANCE WEBCAST
QUESTIONS
 Q21: Is it common to see a small amount of traffic bound
for blocked URLs on our outside sensors? Is this part of the
handshake process before the block is implemented?
 Q22: Good morning. Regarding the licensed client IP... Is
there a way for us to identify the "soft" limit on the
ProxySG's GUI or CLI?
 Q23: Is there a way to monitor the number of CWs in use?
 Q24: What is the cost of running Trace layers (80 and 443)
in the VPM?
 Q25: What might it indicate if the memory utilization is
significantly higher than the cpu utilization on average?
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PROXYSG PERFORMANCE WEBCAST
QUESTIONS
 Q26: For bandwidth performance issues. Is there a way to
see who is downloading what in real-time?
 Q27: If the network throughput is above the recommended
threshold by bluecoat but CPU is still normal, will this
cause any issue on performance?
 Q28: From a performance standpoint. What are the
recommendations around attack detection and delete on
abandonment?
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