Help F5 Transform the BIG-IP Administrator Certification
Many of you received a copy of the BIG-IP Administrator Certification beta exam email announcement earlier this week. We hope you can carve out some time to participate in the beta exams. For anyone who missed this F5 Certified message sent to candidates earlier this week, you can check it out below. If you’re seeing this for the first time, it probably means you’re not a part of the F5 Certified community yet. Now is an ideal time to join! The How do I enroll in the F5 Certified Professionals program? article will guide you through the process. And finally, for those of you who wrote and reviewed items for the new BIG-IP Administrator exams— THANK YOU! You did an incredible job. Thanks to your contributions, we can confidently say that the certifications our candidates attain are in line with the high standards and integrity on which our certification program was established. Please let me know if you have any questions or if you would like to volunteer for additional certification exam development activities. We always need SMEs! Cheers! Heidi The F5 Certification team is excited to announce some exciting changes in our program and invite you to help us transform it by participating in the BIG-IP Administrator beta exams. When considering what changes needed to be made, we asked our candidate community, “What could we do to increase the value of being F5 Certified for you?” Your feedback was clear. You value the F5 BIG-IP Administrator certification, but you want updated, more relevant exams. You want the exams to be easier to take while still providing the same quality items that legitimately test the knowledge, skills and abilities of those who achieve certification. You want the same level of quality and integrity in the program with more options to maintain your certifications. We listened, and are excited to share what has changed, and provide you with a glimpse into what will be changing in the future, in the F5 Certified Program Updates article. Here is how you can help us with a vital step in the transformation. Before we can publish the final version of the new BIG-IP Administrator certification exams, we need you to take the beta versions of these exams. Here are the necessary steps and helpful information in the FAQ: F5 Certified Administrator, BIG-IP BETA exams article, to get you started. Existing candidates, login to the new Education Services Portal. If you are new to the program, login using your F5 SSO credentials to complete registration. For detailed login instructions, see How to Log Into the Education Services Portal article. ALL candidates are eligible to take the BIG-IP Administrator beta exams. Even if you have achieved a higher level of F5 certification, you can participate! We want your input. Schedule the BIG-IP Administrator beta exams by following the instructions in the How to Schedule a Beta Exam article. The beta exams are live today through February 28, 2025. Each beta exam is 60-minutes with up to 60 items. The beta exams are delivered exclusively online at Certiverse. The cost is $20 USD for each exam with promo code F5CABBETA There are five beta exams: BIG-IP Administration Install, Initial Configuration, and Upgrade (F5CAB1-B) BIG-IP Administration Data Plane Concepts (F5CAB2-B) BIG-IP Administration Data Plane Configuration (F5CAB3-B) BIG-IP Administration Control Plane Administration (F5CAB4-B) BIG-IP Administration Support and Troubleshooting (F5CAB5-B) To prepare for all five of the beta exams, refer to the Certified Administrator, BIG-IP Certification blueprint. The beta exams will be scored AFTER the beta period closes. Candidates who have passed all five exams, will achieve Certified Administrator, BIG-IP Certification. For more information about these beta exams, see the FAQ: F5 Certified Administrator, BIG-IP BETA exams article. Complete all five of the beta exams and provide us with the data and feedback necessary to create the final version of the BIG-IP Administrator exams. Thank you for being a valued member of the F5 Certified Community! Please email us at support@mail.education.com with any questions or feedback.
Export Virtual Server Configuration in CSV - tmsh cli script
Problem this snippet solves: This is a simple cli script used to collect all the virtuals name, its VIP details, Pool names, members, all Profiles, Irules, persistence associated to each, in all partitions. A sample output would be like below, One can customize the code to extract other fields available too. The same logic can be allowed to pull information's from profiles stats, certificates etc. Update: 5th Oct 2020 Added Pool members capture in the code. After the Pool-Name, Pool-Members column will be found. If a pool does not have members - field not present: "members" will shown in the respective Pool-Members column. If a pool itself is not bound to the VS, then Pool-Name, Pool-Members will have none in the respective columns. Update: 21st Jan 2021 Added logic to look for multiple partitions & collect configs Update: 12th Feb 2021 Added logic to add persistence to sheet. Update: 26th May 2021 Added logic to add state & status to sheet. Update: 24th Oct 2023 Added logic to add hostname, Pool Status, Total-Connections & Current-Connections. Note: The codeshare has multiple version, use the latest version alone. The reason to keep the other versions is for end users to understand & compare, thus helping them to modify to their own requirements. Hope it helps. How to use this snippet: Login to the LTM, create your script by running the below commands and paste the code provided in snippet tmsh create cli script virtual-details So when you list it, it should look something like below, [admin@labltm:Active:Standalone] ~ # tmsh list cli script virtual-details cli script virtual-details { proc script::run {} { puts "Virtual Server,Destination,Pool-Name,Profiles,Rules" foreach { obj } [tmsh::get_config ltm virtual all-properties] { set profiles [tmsh::get_field_value $obj "profiles"] set remprof [regsub -all {\n} [regsub -all " context" [join $profiles "\n"] "context"] " "] set profilelist [regsub -all "profiles " $remprof ""] puts "[tmsh::get_name $obj],[tmsh::get_field_value $obj "destination"],[tmsh::get_field_value $obj "pool"],$profilelist,[tmsh::get_field_value $obj "rules"]" } } total-signing-status not-all-signed } [admin@labltm:Active:Standalone] ~ # And you can run the script like below, tmsh run cli script virtual-details > /var/tmp/virtual-details.csv And get the output from the saved file, cat /var/tmp/virtual-details.csv Old Codes: cli script virtual-details { proc script::run {} { puts "Virtual Server,Destination,Pool-Name,Profiles,Rules" foreach { obj } [tmsh::get_config ltm virtual all-properties] { set profiles [tmsh::get_field_value $obj "profiles"] set remprof [regsub -all {\n} [regsub -all " context" [join $profiles "\n"] "context"] " "] set profilelist [regsub -all "profiles " $remprof ""] puts "[tmsh::get_name $obj],[tmsh::get_field_value $obj "destination"],[tmsh::get_field_value $obj "pool"],$profilelist,[tmsh::get_field_value $obj "rules"]" } } total-signing-status not-all-signed } ###=================================================== ###2.0 ###UPDATED CODE BELOW ### DO NOT MIX ABOVE CODE & BELOW CODE TOGETHER ###=================================================== cli script virtual-details { proc script::run {} { puts "Virtual Server,Destination,Pool-Name,Pool-Members,Profiles,Rules" foreach { obj } [tmsh::get_config ltm virtual all-properties] { set poolname [tmsh::get_field_value $obj "pool"] set profiles [tmsh::get_field_value $obj "profiles"] set remprof [regsub -all {\n} [regsub -all " context" [join $profiles "\n"] "context"] " "] set profilelist [regsub -all "profiles " $remprof ""] if { $poolname != "none" }{ set poolconfig [tmsh::get_config /ltm pool $poolname] foreach poolinfo $poolconfig { if { [catch { set member_name [tmsh::get_field_value $poolinfo "members" ]} err] } { set pool_member $err puts "[tmsh::get_name $obj],[tmsh::get_field_value $obj "destination"],$poolname,$pool_member,$profilelist,[tmsh::get_field_value $obj "rules"]" } else { set pool_member "" set member_name [tmsh::get_field_value $poolinfo "members" ] foreach member $member_name { append pool_member "[lindex $member 1] " } puts "[tmsh::get_name $obj],[tmsh::get_field_value $obj "destination"],$poolname,$pool_member,$profilelist,[tmsh::get_field_value $obj "rules"]" } } } else { puts "[tmsh::get_name $obj],[tmsh::get_field_value $obj "destination"],$poolname,none,$profilelist,[tmsh::get_field_value $obj "rules"]" } } } total-signing-status not-all-signed } ###=================================================== ### Version 3.0 ### UPDATED CODE BELOW FOR MULTIPLE PARTITION ### DO NOT MIX ABOVE CODE & BELOW CODE TOGETHER ###=================================================== cli script virtual-details { proc script::run {} { puts "Partition,Virtual Server,Destination,Pool-Name,Pool-Members,Profiles,Rules" foreach all_partitions [tmsh::get_config auth partition] { set partition "[lindex [split $all_partitions " "] 2]" tmsh::cd /$partition foreach { obj } [tmsh::get_config ltm virtual all-properties] { set poolname [tmsh::get_field_value $obj "pool"] set profiles [tmsh::get_field_value $obj "profiles"] set remprof [regsub -all {\n} [regsub -all " context" [join $profiles "\n"] "context"] " "] set profilelist [regsub -all "profiles " $remprof ""] if { $poolname != "none" }{ set poolconfig [tmsh::get_config /ltm pool $poolname] foreach poolinfo $poolconfig { if { [catch { set member_name [tmsh::get_field_value $poolinfo "members" ]} err] } { set pool_member $err puts "$partition,[tmsh::get_name $obj],[tmsh::get_field_value $obj "destination"],$poolname,$pool_member,$profilelist,[tmsh::get_field_value $obj "rules"]" } else { set pool_member "" set member_name [tmsh::get_field_value $poolinfo "members" ] foreach member $member_name { append pool_member "[lindex $member 1] " } puts "$partition,[tmsh::get_name $obj],[tmsh::get_field_value $obj "destination"],$poolname,$pool_member,$profilelist,[tmsh::get_field_value $obj "rules"]" } } } else { puts "$partition,[tmsh::get_name $obj],[tmsh::get_field_value $obj "destination"],$poolname,none,$profilelist,[tmsh::get_field_value $obj "rules"]" } } } } total-signing-status not-all-signed } ###=================================================== ### Version 4.0 ### UPDATED CODE BELOW FOR CAPTURING PERSISTENCE ### DO NOT MIX ABOVE CODE & BELOW CODE TOGETHER ###=================================================== cli script virtual-details { proc script::run {} { puts "Partition,Virtual Server,Destination,Pool-Name,Pool-Members,Profiles,Rules,Persist" foreach all_partitions [tmsh::get_config auth partition] { set partition "[lindex [split $all_partitions " "] 2]" tmsh::cd /$partition foreach { obj } [tmsh::get_config ltm virtual all-properties] { set poolname [tmsh::get_field_value $obj "pool"] set profiles [tmsh::get_field_value $obj "profiles"] set remprof [regsub -all {\n} [regsub -all " context" [join $profiles "\n"] "context"] " "] set profilelist [regsub -all "profiles " $remprof ""] set persist [lindex [lindex [tmsh::get_field_value $obj "persist"] 0] 1] if { $poolname != "none" }{ set poolconfig [tmsh::get_config /ltm pool $poolname] foreach poolinfo $poolconfig { if { [catch { set member_name [tmsh::get_field_value $poolinfo "members" ]} err] } { set pool_member $err puts "$partition,[tmsh::get_name $obj],[tmsh::get_field_value $obj "destination"],$poolname,$pool_member,$profilelist,[tmsh::get_field_value $obj "rules"],$persist" } else { set pool_member "" set member_name [tmsh::get_field_value $poolinfo "members" ] foreach member $member_name { append pool_member "[lindex $member 1] " } puts "$partition,[tmsh::get_name $obj],[tmsh::get_field_value $obj "destination"],$poolname,$pool_member,$profilelist,[tmsh::get_field_value $obj "rules"],$persist" } } } else { puts "$partition,[tmsh::get_name $obj],[tmsh::get_field_value $obj "destination"],$poolname,none,$profilelist,[tmsh::get_field_value $obj "rules"],$persist" } } } } total-signing-status not-all-signed } ###=================================================== ### 5.0 ### UPDATED CODE BELOW ### DO NOT MIX ABOVE CODE & BELOW CODE TOGETHER ###=================================================== cli script virtual-details { proc script::run {} { puts "Partition,Virtual Server,Destination,Pool-Name,Pool-Members,Profiles,Rules,Persist,Status,State" foreach all_partitions [tmsh::get_config auth partition] { set partition "[lindex [split $all_partitions " "] 2]" tmsh::cd /$partition foreach { obj } [tmsh::get_config ltm virtual all-properties] { foreach { status } [tmsh::get_status ltm virtual [tmsh::get_name $obj]] { set vipstatus [tmsh::get_field_value $status "status.availability-state"] set vipstate [tmsh::get_field_value $status "status.enabled-state"] } set poolname [tmsh::get_field_value $obj "pool"] set profiles [tmsh::get_field_value $obj "profiles"] set remprof [regsub -all {\n} [regsub -all " context" [join $profiles "\n"] "context"] " "] set profilelist [regsub -all "profiles " $remprof ""] set persist [lindex [lindex [tmsh::get_field_value $obj "persist"] 0] 1] if { $poolname != "none" }{ set poolconfig [tmsh::get_config /ltm pool $poolname] foreach poolinfo $poolconfig { if { [catch { set member_name [tmsh::get_field_value $poolinfo "members" ]} err] } { set pool_member $err puts "$partition,[tmsh::get_name $obj],[tmsh::get_field_value $obj "destination"],$poolname,$pool_member,$profilelist,[tmsh::get_field_value $obj "rules"],$persist,$vipstatus,$vipstate" } else { set pool_member "" set member_name [tmsh::get_field_value $poolinfo "members" ] foreach member $member_name { append pool_member "[lindex $member 1] " } puts "$partition,[tmsh::get_name $obj],[tmsh::get_field_value $obj "destination"],$poolname,$pool_member,$profilelist,[tmsh::get_field_value $obj "rules"],$persist,$vipstatus,$vipstate" } } } else { puts "$partition,[tmsh::get_name $obj],[tmsh::get_field_value $obj "destination"],$poolname,none,$profilelist,[tmsh::get_field_value $obj "rules"],$persist,$vipstatus,$vipstate" } } } } total-signing-status not-all-signed } Latest Code: cli script virtual-details { proc script::run {} { set hostconf [tmsh::get_config /sys global-settings hostname] set hostname [tmsh::get_field_value [lindex $hostconf 0] hostname] puts "Hostname,Partition,Virtual Server,Destination,Pool-Name,Pool-Status,Pool-Members,Profiles,Rules,Persist,Status,State,Total-Conn,Current-Conn" foreach all_partitions [tmsh::get_config auth partition] { set partition "[lindex [split $all_partitions " "] 2]" tmsh::cd /$partition foreach { obj } [tmsh::get_config ltm virtual all-properties] { foreach { status } [tmsh::get_status ltm virtual [tmsh::get_name $obj]] { set vipstatus [tmsh::get_field_value $status "status.availability-state"] set vipstate [tmsh::get_field_value $status "status.enabled-state"] set total_conn [tmsh::get_field_value $status "clientside.tot-conns"] set curr_conn [tmsh::get_field_value $status "clientside.cur-conns"] } set poolname [tmsh::get_field_value $obj "pool"] set profiles [tmsh::get_field_value $obj "profiles"] set remprof [regsub -all {\n} [regsub -all " context" [join $profiles "\n"] "context"] " "] set profilelist [regsub -all "profiles " $remprof ""] set persist [lindex [lindex [tmsh::get_field_value $obj "persist"] 0] 1] if { $poolname != "none" }{ foreach { p_status } [tmsh::get_status ltm pool $poolname] { set pool_status [tmsh::get_field_value $p_status "status.availability-state"] } set poolconfig [tmsh::get_config /ltm pool $poolname] foreach poolinfo $poolconfig { if { [catch { set member_name [tmsh::get_field_value $poolinfo "members" ]} err] } { set pool_member $err puts "$hostname,$partition,[tmsh::get_name $obj],[tmsh::get_field_value $obj "destination"],$poolname,$pool_status,$pool_member,$profilelist,[tmsh::get_field_value $obj "rules"],$persist,$vipstatus,$vipstate,$total_conn,$curr_conn" } else { set pool_member "" set member_name [tmsh::get_field_value $poolinfo "members" ] foreach member $member_name { append pool_member "[lindex $member 1] " } puts "$hostname,$partition,[tmsh::get_name $obj],[tmsh::get_field_value $obj "destination"],$poolname,$pool_status,$pool_member,$profilelist,[tmsh::get_field_value $obj "rules"],$persist,$vipstatus,$vipstate,$total_conn,$curr_conn" } } } else { puts "$hostname,$partition,[tmsh::get_name $obj],[tmsh::get_field_value $obj "destination"],$poolname,none,none,$profilelist,[tmsh::get_field_value $obj "rules"],$persist,$vipstatus,$vipstate,$total_conn,$curr_conn" } } } } } Tested this on version: 13.0F5 BIG-IP and NetApp StorageGRID - Providing Fast and Scalable S3 API for AI apps
F5 BIG-IP, an industry-leading ADC solution, can provide load balancing services for HTTPS servers, with full security applied in-flight and performance levels to meet any enterprise’s capacity targets. Specific to S3 API, the object storage and retrieval protocol that rides upon HTTPS, an aligned partnering solution exists from NetApp, which allows a large-scale set of S3 API targets to ingest and provide objects. Automatic backend synchronization allows any node to be offered up at a target by a server load balancer like BIG-IP. This allows overall storage node utilization to be optimized across the node set, and scaled performance to reach the highest S3 API bandwidth levels, all while offering high availability to S3 API consumers. S3 compatible storage is becoming popular for AI applications due to its superior performance over traditional protocols such as NFS or CIFS, as well as enabling repatriation of data from the cloud to on-prem. These are scenarios where the amount of data faced is large, this drives the requirement for new levels of scalability and performance; S3 compatible object storages such as NetApp StorageGRID are purpose-built to reach such levels. Sample BIG-IP and StorageGRID Configuration This document is based upon tests and measurements using the following lab configuration. All devices in the lab were virtual machine-based offerings. The S3 service to be projected to the outside world, depicted in the above diagram and delivered to the client via the external network, will use a BIG-IP virtual server (VS) which is tied to an origin pool of three large-capacity StorageGRID nodes. The BIG-IP maintains the integrity of the NetApp nodes by frequent HTTP-based health checks. Should an unhealthy node be detected, it will be dropped from the list of active pool members. When content is written via the S3 protocol to any node in the pool, the other members are synchronized to serve up content should they be selected by BIG-IP for future read requests. The key recommendations and observations in building the lab include: Setup a local certificate authority such that all nodes can be trusted by the BIG-IP. Typically the local CA-signed certificate will incorporate every node’s FQDN and IP address within the listed subject alternate names (SAN) to make the backend solution streamlined with one single certificate. Different F5 profiles, such as FastL4 or FastHTTP, can be selected to reach the right tradeoff between the absolute capacity of stateful traffic load-balanced versus rich layer 7 functions like iRules or authentication. Modern techniques such as multi-part uploads or using HTTP Ranges for downloads can take large objects, and concurrently move smaller pieces across the load balancer, lowering total transaction times, and spreading work over more CPU cores. The S3 protocol, at its core, is a set of REST API calls. To facilitate testing, the widely used S3Browser (www.s3browser.com) was used to quickly and intuitively create S3 buckets on the NetApp offering and send/retrieve objects (files) through the BIG-IP load balancer. Setup the BIG-IP and StorageGrid Systems The StorageGrid solution is an array of storage nodes, provisioned with the help of an administrative host, the “Grid Manager”. For interactive users, no thick client is required as on-board web services allow a streamlined experience all through an Internet browser. The following is an example of Grid Manager, taken from a Chrome browser; one sees the three Storage Nodes setup have been successfully added. The load balancer, in our case, the BIG-IP, is set up with a virtual server to support HTTPS traffic and distributed that traffic, which is S3 object storage traffic, to the three StorageGRID nodes. The following screenshot demonstrates that the BIG-IP is setup in a standard HA (active-passive pair) configuration and the three pool members are healthy (green, health checks are fine) and receiving/sending S3 traffic, as the byte counts are seen in the image to be non-zero. On the internal side of the BIG-IP, TCP port 18082 is being used for S3 traffic. To do testing of the solution, including features such as multi-part uploads and downloads, a popular S3 tool, S3Browser, was downloaded and used. The following shows the entirety of the S3Browser setup. Simply create an account (StorageGRID-Account-01 in our example) and point the REST API endpoint at the BIG-IP Virtual Server that is acting as the secure front door for our pool of NetApp nodes. The S3 Access Key ID and Secret values are generated at turn-up time of the NetApp appliances. All S3 traffic will, of course, be SSL/TLS encrypted. BIG-IP will intercept the SSL traffic (high-speed decrypt) and then re-encrypt when proxying the traffic to a selected origin pool member. Other valid load balancer setups exist; one might include an “off load” approach to SSL, whereby the S3 nodes safely co-located in a data center may prefer to receive non-SSL HTTP S3 traffic. This may see an overall performance improvement in terms of peak bandwidth per storage node, but this comes at the tradeoff of security considerations. Experimenting with S3 Protocol and Load Balancing With all the elements in place to start understanding the behavior of S3 and spreading traffic across NetApp nodes, a quick test involved creating a S3 bucket and placing some objects in that new bucket. Buckets are logical collections of objects, conceptually not that different from folders or directories in file systems. In fact, a S3 bucket could even be mounted as a folder in an operating system such as Linux. In their simplest form, most commonly, buckets can simply serve as high-capacity, performant storage and retrieval targets for similarly themed structured or unstructured data. In the first test, we created a new bucket (“audio-clip-bucket”) and uploaded four sample files to the new bucket using S3Browser. We then zeroed the statistics for each pool member on the BIG-IP, to see if even this small upload would spread S3 traffic across more than a single NetApp device. Immediately after the upload, the counters reflect that two StorageGRID nodes were selected to receive S3 transactions. Richly detailed, per-transaction visibility can be obtained by leveraging the F5 SSL Orchestrator (SSLO) feature on the BIG-IP, whereby copies of the bi-directional S3 traffic decrypted within the load balancer can be sent to packet loggers, analytics tools, or even protocol analyzers like Wireshark. The BIG-IP also has an onboard analytics tool, Application Visibility and Reporting (AVR) which can provide some details on the nuances of the S3 traffic being proxied. AVR demonstrates the following characteristics of the above traffic, a simple bucket creation and upload of 4 objects. With AVR, one can see the URL values used by S3, which include the bucket name itself as well as transactions incorporating the object names as URLs. Also, the HTTP methods used included both GETS and PUTS. The use of HTTP PUT is expected when creating a new bucket. S3 is not governed by a typical standards body document, such as an IETF Request for Comment (RFC), but rather has evolved out of AWS and their use of S3 since 2006. For details around S3 API characteristics and nomenclature, this site can be referenced. For example, the expected syntax for creating a bucket is provided, including the fact that it should be an HTTP PUT to the root (/) URL target, with the bucket configuration parameters including name provided within the HTTP transaction body. Achieving High Performance S3 with BIG-IP and StorageGRID A common concern with protocols, such as HTTP, is head-of-line blocking, where one large, lengthy transaction blocks subsequent desired, queued transactions. This is one of the reasons for parallelism in HTTP, where loading 30 or more objects to paint a web page will often utilize two, four, or even more concurrent TCP sessions. Another performance issue when dealing with very large transactions is, without parallelism, even those most performant networks will see an established TCP session reach a maximum congestion window (CWND) where no more segments may be in flight until new TCP ACKs arrive back. Advanced TCP options like TCP exponential windowing or TCP SACK can help, but regardless of this, the achievable bandwidth of any one TCP session is bounded and may also frequently task only one core in multi-core CPUs. With the BIG-IP serving as the intermediary, large S3 transactions may default to “multi-part” uploads and downloads. The larger objects become a series of smaller objects that conveniently can be load-balanced by BIG-IP across the entire cluster of NetApp nodes. As displayed in the following diagram, we are asking for multi-part uploads to kick in for objects larger than 5 megabytes. After uploading a 20-megabyte file (technically, 20,000,000 bytes) the BIG-IP shows the traffic distributed across multiple NetApp nodes to the tune of 160.9 million bits. The incoming bits, incoming from the perspective of the origin pool members, confirm the delivery of the object with a small amount of protocol overhead (bits divided by eight to reach bytes). The value of load balancing manageable chunks of very large objects will pay dividends over time with faster overall transaction completion times due to the spreading of traffic across NetApp nodes, more TCP sessions reaching high congestion window values, and no single-core bottle necks in multicore equipment. Tuning BIG-IP for High Performance S3 Service Delivery The F5 BIG-IP offers a set of different profiles it can run its Local Traffic Manager (LTM) module in accordance with; LTM is the heart of the server load balancing function. The most performant profile in terms of attainable traffic load is the “FastL4” profile. This, and other profiles such as “OneConnect” or “FastHTTP”, can be tied to a virtual server, and details around each profile can be found here within the BIG-IP GUI: The FastL4 profile can increase virtual server performance and throughput for supported platforms by using the embedded Packet Velocity Acceleration (ePVA) chip to accelerate traffic. The ePVA chip is a hardware acceleration field programmable gate array (FPGA) that delivers high-performance L4 throughput by offloading traffic processing to the hardware acceleration chip. The BIG-IP makes flow acceleration decisions in software and then offloads eligible flows to the ePVA chip for that acceleration. For platforms that do not contain the ePVA chip, the system performs acceleration actions in software. Software-only solutions can increase performance in direct relationship to the hardware offered by the underlying host. As examples of BIG-IP virtual edition (VE) software running on mid-grade hardware platforms, results with Dell can be found here and similar experiences with HPE Proliant platforms are here. One thing to note about FastL4 as the profile to underpin a performance mode BIG-IP virtual server is that it is layer 4 oriented. For certain features that involve layer 7 HTTP related fields, such as using iRules to swap HTTP headers or perform HTTP authentication, a different profile might be more suitable. A bonus of FastL4 are some interesting specific performance features catering to it. In the BIG-IP version 17 release train, there is a feature to quickly tear down, with no delay, TCP sessions no longer required. Most TCP stacks implement TCP “2MSL” rules, where upon receiving and sending TCP FIN messages, the socket enters a lengthy TCP “TIME_WAIT” state, often minutes long. This stems back to historically bad packet loss environments of the very early Internet. A concern was high latency and packet loss might see incoming packets arrive at a target very late, and the TCP state machine would be confused if no record of the socket still existed. As such, the lengthy TIME_WAIT period was adopted even though this is consuming on-board resources to maintain the state. With FastL4, the “fast” close with TCP reset option now exists, such that any incoming TCP FIN message observed by BIG-IP will result in TCP RESETS being sent to both endpoints, normally bypassing TIME_WAIT penalties. OneConnect and FastHTTP Profiles As mentioned, other traffic profiles on BIG-IP are directed towards Layer 7 and HTTP features. One interesting profile is F5’s “OneConnect”. The OneConnect feature set works with HTTP Keep-Alives, which allows the BIG-IP system to minimize the number of server-side TCP connections by making existing connections available for reuse by other clients. This reduces, among other things, excessive TCP 3-way handshakes (Syn, Syn-Ack, Ack) and mitigates the small TCP congestion windows that new TCP sessions start with and only increases with successful traffic delivery. Persistent server-side TCP connections ameliorate this. When a new connection is initiated to the virtual server, if an existing server-side flow to the pool member is idle, the BIG-IP system applies the OneConnect source mask to the IP address in the request to determine whether it is eligible to reuse the existing idle connection. If it is eligible, the BIG-IP system marks the connection as non-idle and sends a client request over it. If the request is not eligible for reuse, or an idle server-side flow is not found, the BIG-IP system creates a new server-side TCP connection and sends client requests over it. The last profile considered is the “Fast HTTP” profile. The Fast HTTP profile is designed to speed up certain types of HTTP connections and again strives to reduce the number of connections opened to the back-end HTTP servers. This is accomplished by combining features from the TCP, HTTP, and OneConnect profiles into a single profile that is optimized for network performance. A resulting high performance HTTP virtual server processes connections on a packet-by-packet basis and buffers only enough data to parse packet headers. The performance HTTP virtual server TCP behavior operates as follows: the BIG-IP system establishes server-side flows by opening TCP connections to pool members. When a client makes a connection to the performance HTTP virtual server, if an existing server-side flow to the pool member is idle, the BIG-IP LTM system marks the connection as non-idle and sends a client request over the connection. Summary The NetApp StorageGRID multi-node S3 compatible object storage solution fits well with a high-performance server load balancer, thus making the F5 BIG-IP a good fit. S3 protocol can itself be adjusted to improve transaction response times, such as through the use of multi-part uploads and downloads, amplifying the default load balancing to now spread even more traffic chunks over many NetApp nodes. BIG-IP has numerous approaches to configuring virtual servers, from highest performance L4-focused profiles to similar offerings that retain L7 HTTP awareness. Lab testing was accomplished using the S3Browser utility and results of traffic flows were confirmed with both the standard BIG-IP GUI and the additional AVR analytics module, which provides additional protocol insight.
TACACS+ External Monitor (Python)
Problem this snippet solves: This script is an external monitor for TACACS+ that simulates a TACACS+ client authenticating a test user, and marks the status of a pool member as up if the authentication is successful. If the connection is down/times out, or the authentication fails due to invalid account settings, the script marks the pool member status as down. This is heavily inspired by the Radius External Monitor (Python) by AlanTen. How to use this snippet: Prerequisite This script uses the TACACS+ Python client by Ansible (tested on version 2.6). Create the directory /config/eav/tacacs_plus on BIG-IP Copy all contents from tacacs_plus package into /config/eav/tacacs_plus. You may also need to download six.py from https://raw.githubusercontent.com/benjaminp/six/master/six.py and place it in /config/eav/tacacs_plus. You will need to have a test account provisioned on the TACACS+ server for the script to perform authentication. Installation On BIG-IP, import the code snippet below as an External Monitor Program File. Monitor Configuration Set up an External monitor with the imported file, and configure it with the following environment variables: KEY: TACACS+ server secret USER: Username for test account PASSWORD: Password for test account MOD_PATH: Path to location of Python package tacacs_plus, default: /config/eav TIMEOUT: Duration to wait for connectivity to TACACS server to be established, default: 3 Troubleshooting SSH to BIG-IP and run the script locally $ cd /config/filestore/files_d/Common_d/external_monitor_d/ # Get name of uploaded file, e.g.: $ ls -la ... -rwxr-xr-x. 1 tomcat tomcat 1883 2021-09-17 04:05 :Common:tacacs-monitor_39568_7 # Run the script with the corresponding variables $ KEY=<my_tacacs_key> USER=<testuser> PASSWORD=<supersecure> python <external program file, e.g.:Common:tacacs-monitor_39568_7> <TACACS+ server IP> <TACACS+ server port> Code : #!/usr/bin/env python # # Filename : tacacs_plus_mon.py # Author : Leon Seng # Version : 1.2 # Date : 2021/09/21 # Python ver: 2.6+ # F5 version: 12.1+ # # ========== Installation # Import this script via GUI: # System > File Management > External Monitor Program File List > Import... # Name it however you want. # Get, modify and copy the following modules: # ========== Required modules # -- six -- # https://pypi.org/project/six/ # Copy six.py into /config/eav # # -- tacacs_plus -- # https://pypi.org/project/tacacs_plus/ | https://github.com/ansible/tacacs_plus # Copy tacacs_plus directory into /config/eav # ========== Environment Variables # NODE_IP - Supplied by F5 monitor as first argument # NODE_PORT - Supplied by F5 monitor as second argument # KEY - TACACS+ server secret # USER - Username for test account # PASSWORD - Password for test account # MOD_PATH - Path to location of Python package tacacs_plus, default: /config/eav # TIMEOUT - Duration to wait for connectivity to TACACS server to be established, default: 3 import os import socket import sys if os.environ.get('MOD_PATH'): sys.path.append(os.environ.get('MOD_PATH')) else: sys.path.append('/config/eav') # https://github.com/ansible/tacacs_plus from tacacs_plus.client import TACACSClient node_ip = sys.argv[1] node_port = int(sys.argv[2]) key = os.environ.get("KEY") user = os.environ.get("USER") password = os.environ.get("PASSWORD") timeout = int(os.environ.get("TIMEOUT", 3)) # Determine if node IP is IPv4 or IPv6 family = None try: socket.inet_pton(socket.AF_INET, node_ip) family = socket.AF_INET except socket.error: # not a valid address try: socket.inet_pton(socket.AF_INET6, node_ip) family = socket.AF_INET6 except socket.error: sys.exit(1) # Authenticate against TACACS server client = TACACSClient(node_ip, node_port, key, timeout=timeout, family=family) try: auth = client.authenticate(user, password) if auth.valid: print "up" except socket.error: # EAV script marks node as DOWN when no output is present pass Tested this on version: 12.1TCP RST from remote system error in F5
Hi, I am unable to access the URL externally that i have defined in F5 for reverse proxy and it shows an error connection refused by host and the below error in F5 R 162:162(0) ack 982 win 5121 out slot1/tmm1 lis=/Common/vs_ext_skype__https flowtype=64 flowid=570065ECFE00 peerid=570065CB5D00 conflags=4820124 inslot=63 inport=55 haunit=1 rst_cause="[0x19080da:2106] {peer} TCP RST from remote system" peerremote=00000000:00000000:0000FFFF:0A606211 peerlocal=00000000:00000000:0000FFFF:0A606204 remoteport=4443 localport=60380 proto=6 vlan=98 Can this be any error in F5 config
APM Configuration to Support Duo MFA using iRule
Overview BIG-IP APM has supported Duo as an MFA provider for a long time with RADIUS-based integration. Recently, Duo has added support for Universal Prompt that uses Open ID Connect (OIDC) protocol to provide two-factor authentication. To integrate APM as an OIDC client and resource server, and Duo as an Identity Provider (IdP), Duo requires the user’s logon name and custom parameters to be sent for Authentication and Token request. This guide describes the configuration required on APM to enable Duo MFA integration using an iRule. iRules addresses the custom parameter challenges by generating the needed custom values and saving them in session variables, which the OAuth Client agent then uses to perform MFA with Duo. This integration procedure is supported on BIG-IP versions 13.1, 14.1x, 15.1x, and 16.x. To integrate Duo MFA with APM, complete the following tasks: 1. Choose deployment type: Per-request or Per-session 2. Configure credentials and policies for MFA on the DUO web portal 3. Create OAuth objects on the BIG-IP system 4. Configure the iRule 5. Create the appropriate access policy/policies on the BIG-IP system 6. Apply policy/policies and iRule to the APM virtual server Choose deployment type APM supports two different types of policies for performing authentication functions. Per-session policies: Per-session policies provide authentication and authorization functions that occur only at the beginning of a user’s session. These policies are compatible with most APM use cases such as VPN, Webtop portal, Remote Desktop, federation IdP, etc. Per-request policies: Per-request policies provide dynamic authentication and authorization functionality that may occur at any time during a user’s session, such as step-up authentication or auditing functions only for certain resources. These policies are only compatible with Identity Aware Proxy and Web Access Management use cases and cannot be used with VPN or webtop portals. This guide contains information about setting up both policy types. Prerequisites Ensure the BIG-IP system has DNS and internet connectivity to contact Duo directly for validating the user's OAuth tokens. Configure credentials and policies for MFA on Duo web portal Before you can protect your F5 BIG-IP APM Web application with Duo, you will first need to sign up for a Duo account. 1. Log in to the Duo Admin Panel and navigate to Applications. 2. Click Protect an application. Figure 1: Duo Admin Panel – Protect an Application 3. Locate the entry for F5 BIG-IP APM Web in the applications list and click Protect to get the Client ID, Client secret, and API hostname. You will need this information to configure objects on APM. Figure 2: Duo Admin Panel – F5 BIG-IP APM Web 4. As DUO is used as a secondary authentication factor, the user’s logon name is sent along with the authentication request. Depending on your security policy, you may want to pre-provision users in Duo, or you may allow them to self-provision to set their preferred authentication type when they first log on. To add users to the Duo system, navigate to the Dashboard page and click the Add New... -> Add User button. A Duo username should match the user's primary authentication username. Refer to the https://duo.com/docs/enrolling-users link for the different methods of user enrollment. Refer to Duo Universal Prompt for additional information on Duo’s two-factor authentication. Create OAuth objects on the BIG-IP system Create a JSON web key When APM is configured to act as an OAuth client or resource server, it uses JSON web keys (JWKs) to validate the JSON web tokens it receives from Duo. To create a JSON web key: 1. On the Main tab, select Access > Federation > JSON Web Token > Key Configuration. The Key Configuration screen opens. 2. To add a new key configuration, click Create. 3. In the ID and Shared Secret fields, enter the Client ID and Client Secret values respectively obtained from Duo when protecting the application. 4. In the Type list, select the cryptographic algorithm used to sign the JSON web key. Figure 3: Key Configuration screen 5. Click Save. Create a JSON web token As an OAuth client or resource server, APM validates the JSON web tokens (JWT) it receives from Duo. To create a JSON web token: 1. On the Main tab, select Access > Federation > JSON Web Token > Token Configuration. The Token Configuration screen opens. 2. To add a new token configuration, click Create. 3. In the Issuer field, enter the API hostname value obtained from Duo when protecting the application. 4. In the Signing Algorithms area, select from the Available list and populate the Allowed and Blocked lists. 5. In the Keys (JWK) area, select the previously configured JSON web key in the allowed list of keys. Figure 4: Token Configuration screen 6. Click Save. Configure Duo as an OAuth provider APM uses the OAuth provider settings to get URIs on the external OAuth authorization server for JWT web tokens. To configure an OAuth provider: 1. On the Main tab, select Access > Federation > OAuth Client / Resource Server > Provider. The Provider screen opens. 2. To add a provider, click Create. 3. In the Name field, type a name for the provider. 4. From the Type list, select Custom. 5. For Token Configuration (JWT), select a configuration from the list. 6. In the Authentication URI field, type the URI on the provider where APM should redirect the user for authentication. The hostname is the same as the API hostname in the Duo application. 7. In the Token URI field, type the URI on the provider where APM can get a token. The hostname is the same as the API hostname in the Duo application. Figure 5: OAuth Provider screen 8. Click Finished. Configure Duo server for APM The OAuth Server settings specify the OAuth provider and role that Access Policy Manager (APM) plays with that provider. It also sets the Client ID, Client Secret, and Client’s SSL certificates that APM uses to communicate with the provider. To configure a Duo server: 1. On the Main tab, select Access > Federation > OAuth Client / Resource Server > OAuth Server. The OAuth Server screen opens. 2. To add a server, click Create. 3. In the Name field, type a name for the Duo server. 4. From the Mode list, select how you want the APM to be configured. 5. From the Type list, select Custom. 6. From the OAuth Provider list, select the Duo provider. 7. From the DNS Resolver list, select a DNS resolver (or click the plus (+) icon, create a DNS resolver, and then select it). 8. In the Token Validation Interval field, type a number. In a per-request policy subroutine configured to validate the token, the subroutine repeats at this interval or the expiry time of the access token, whichever is shorter. 9. In the Client Settings area, paste the Client ID and Client secret you obtained from Duo when protecting the application. 10. From the Client's ServerSSL Profile Name, select a server SSL profile. Figure 6: OAuth Server screen 11. Click Finished. Configure an auth-redirect-request and a token-request Requests specify the HTTP method, parameters, and headers to use for the specific type of request. An auth-redirect-request tells Duo where to redirect the end-user, and a token-request accesses the authorization server for obtaining an access token. To configure an auth-redirect-request: 1. On the Main tab, select Access > Federation > OAuth Client / Resource Server > Request. The Request screen opens. 2. To add a request, click Create. 3. In the Name field, type a name for the request. 4. For the HTTP Method, select GET. 5. For the Type, select auth-redirect-request. 6. As shown in Figure 7, specify the list of GET parameters to be sent: request parameter with value depending on the type of policy For per-request policy: %{subsession.custom.jwt_duo} For per-session policy: %{session.custom.jwt_duo} client_id parameter with type client-id response_type parameter with type response-type Figure 7: Request screen with auth-redirect-request (Use “subsession.custom…” for Per-request or “session.custom…” for Per-session) 7. Click Finished. To configure a token-request: 1. On the Main tab, select Access > Federation > OAuth Client / Resource Server > Request. The Request screen opens. 2. To add a request, click Create. 3. In the Name field, type a name for the request. 4. For the HTTP Method, select POST. 5. For the Type, select token-request. 6. As shown in Figure 8, specify the list of POST parameters to be sent: client_assertion parameter with value depending on the type of policy For per-request policy: %{subsession.custom.jwt_duo_token} For per-session policy: %{session.custom.jwt_duo_token} client_assertion_type parameter with value urn:ietf:params:oauth:client-assertion-type:jwt-bearer grant_type parameter with type grant-type redirect_uri parameter with type redirect-uri Figure 8: Request screen with token-request (Use “subsession.custom…” for Per-request or “session.custom…” for Per-session) 7. Click Finished. Configure the iRule iRules gives you the ability to customize and manage your network traffic. Configure an iRule that creates the required sub-session variables and usernames for Duo integration. Note: This iRule has sections for both per-request and per-session policies and can be used for either type of deployment. To configure an iRule: 1. On the Main tab, click Local Traffic > iRules. 2. To create an iRules, click Create. 3. In the Name field, type a name for the iRule. 4. Copy the sample code given below and paste it in the Definition field. Replace the following variables with values specific to the Duo application: <Duo Client ID> in the getClientId function with Duo Application ID. <Duo API Hostname> in the createJwtToken function with API Hostname. For example, https://api-duohostname.com/oauth/v1/token. <JSON Web Key> in the getJwkName function with the configured JSON web key. Note: The iRule ID here is set as JWT_CREATE. You can rename the ID as desired. You specify this ID in the iRule Event agent in Visual Policy Editor. Note: The variables used in the below example are global, which may affect your performance. Refer to the K95240202: Understanding iRule variable scope article for further information on global variables, and determine if you use a local variable for your implementation. when ACCESS_POLICY_AGENT_EVENT { if { [ACCESS::policy agent_id] eq "JWT_CREATE" } { set duo_uname [ACCESS::session data get "session.logon.last.username"] # Inline logic for creating JWT set header "{\"alg\":\"HS512\",\"typ\":\"JWT\"}" set exp [expr {[clock seconds] + 900}] set client_id "<Duo Client ID>" set redirect_uri "https://[ACCESS::session data get session.server.network.name]/oauth/client/redirect" set payload "{\"response_type\": \"code\",\"scope\":\"openid\",\"exp\":${exp},\"client_id\":\"${client_id}\",\"redirect_uri\":\"${redirect_uri}\",\"duo_uname\":\"${duo_uname}\"}" set jwt_duo [ACCESS::oauth sign -header $header -payload $payload -alg HS512 -key "<JSON Web Key>"] ACCESS::session data set session.custom.jwt_duo $jwt_duo # JWT Token creation set aud "<Duo API Hostname>" set jti [string range [clock seconds] 0 31] set token_payload "{\"sub\": \"${client_id}\",\"iss\":\"${client_id}\",\"aud\":\"${aud}\",\"exp\":${exp},\"jti\":\"${jti}\"}" set jwt_duo_token [ACCESS::oauth sign -header $header -payload $token_payload -alg HS512 -key "<JSON Web Key>"] ACCESS::session data set session.custom.jwt_duo_token $jwt_duo_token } } when ACCESS_PER_REQUEST_AGENT_EVENT { if { [ACCESS::perflow get perflow.irule_agent_id] eq "JWT_CREATE" } { set duo_uname [ACCESS::session data get "session.logon.last.username"] set header "{\"alg\":\"HS512\",\"typ\":\"JWT\"}" set exp [expr {[clock seconds] + 900}] set client_id "<Duo Client ID>" set redirect_uri "https://[ACCESS::session data get session.server.network.name]/oauth/client/redirect" set payload "{\"response_type\": \"code\",\"scope\":\"openid\",\"exp\":${exp},\"client_id\":\"${client_id}\",\"redirect_uri\":\"${redirect_uri}\",\"duo_uname\":\"${duo_uname}\"}" set jwt_duo [ACCESS::oauth sign -header $header -payload $payload -alg HS512 -key "<JSON Web Key>"] ACCESS::perflow set perflow.custom $jwt_duo # JWT Token creation set aud "<Duo API Hostname>" set jti [string range [clock seconds] 0 31] set token_payload "{\"sub\": \"${client_id}\",\"iss\":\"${client_id}\",\"aud\":\"${aud}\",\"exp\":${exp},\"jti\":\"${jti}\"}" set jwt_duo_token [ACCESS::oauth sign -header $header -payload $token_payload -alg HS512 -key "<JSON Web Key>"] ACCESS::perflow set perflow.scratchpad $jwt_duo_token } } Note: iRule updated 11/27/2024 to eliminate CMP demotion. Figure 9: iRule screen 5. Click Finished. Create the appropriate access policy/policies on the BIG-IP system Per-request policy Skip this section for a per-session type deployment The per-request policy is used to perform secondary authentication with Duo. Configure the access policies through the access menu, using the Visual Policy Editor. The per-request access policy must have a subroutine with an iRule Event, Variable Assign, and an OAuth Client agent that requests authorization and tokens from an OAuth server. You may use other per-request policy items such as URL branching or Client Type to call Duo only for certain target URIs. Figure 10 shows a subroutine named duosubroutine in the per-request policy that handles Duo MFA authentication. Figure 10: Per-request policy in Visual Policy Editor Configuring the iRule Event agent The iRule Event agent specifies the iRule ID to be executed for Duo integration. In the ID field, type the iRule ID as configured in the iRule. Figure 11: iRule Event agent in Visual Policy Editor Configuring the Variable Assign agent The Variable Assign agent specifies the variables for token and redirect requests and assigns a value for Duo MFA in a subroutine. This is required only for per-request type deployment. Add sub-session variables as custom variables and assign their custom Tcl expressions as shown in Figure 12. subsession.custom.jwt_duo_token = return [mcget {perflow.scratchpad}] subsession.custom.jwt_duo = return [mcget {perflow.custom}] Figure 12: Variable Assign agent in Visual Policy Editor Configuring the OAuth Client agent An OAuth Client agent requests authorization and tokens from the Duo server. Specify OAuth parameters as shown in Figure 13. In the Server list, select the Duo server to which the OAuth client directs requests. In the Authentication Redirect Request list, select the auth-redirect-request configured earlier. In the Token Request list, select the token-request configured earlier. Some deployments may not need the additional information provided by OpenID Connect. You could, in that case, disable it. Figure 13: OAuth Client agent in Visual Policy Editor Per-session policy Configure the Per Session policy as appropriate for your chosen deployment type. Per-request: The per-session policy must contain at least one logon page to set the username variable in the user’s session. Preferably it should also perform some type of primary authentication. This validated username is used later in the per-request policy. Per-session: The per-session policy is used for all authentication. A per-request policy is not used. Figures 14a and 14b show a per-session policy that runs when a client initiates a session. Depending on the actions you include in the access policy, it can authenticate the user and perform actions that populate session variables with data for use throughout the session. Figure 14a: Per-session policy in Visual Policy Editor performs both primary authentication and Duo authentication (for per-session use case) Figure 14b: Per-session policy in Visual Policy Editor performs primary authentication only (for per-request use case) Apply policy/policies and iRule to the APM virtual server Finally, apply the per-request policy, per-session policy, and iRule to the APM virtual server. You assign iRules as a resource to the virtual server that users connect. Configure the virtual server’s default pool to the protected local web resource. Apply policy/policies to the virtual server Per-request policy To attach policies to the virtual server: 1. On the Main tab, click Local Traffic > Virtual Servers. 2. Select the Virtual Server. 3. In the Access Policy section, select the policy you created. 4. Click Finished. Figure 15: Access Policy section in Virtual Server (per-request policy) Per-session policy Figure 16 shows the Access Policy section in Virtual Server when the per-session policy is deployed. Figure 16: Access Policy section in Virtual Server (per-session policy) Apply iRule to the virtual server To attach the iRule to the virtual server: 1. On the Main tab, click Local Traffic > Virtual Servers. 2. Select the Virtual Server. 3. Select the Resources tab. 4. Click Manage in the iRules section. 5. Select an iRule from the Available list and add it to the Enabled list. 6. Click Finished.
Especial Load Balancing Active-Passive Scenario (I)
Problem this snippet solves: This code was written to solve this issue REF - https://devcentral.f5.com/s/feed/0D51T00006i7jWpSAI Specification: 2 clusters with 2 nodes each one. each cluster will be served as active-passive method. each node in the cluster will be served as round robin. when a cluster changes to active, it will keep this status although the initial active cluster change back to up status. Only one BIG-IP device. There are many topics suggesting to use "Manual Resume" trying to goal this specifications, but this requires to manually restore each node when is back online. My initial idea was to have an unattended virtual server. To do so, I use a combination of persistence and an internal virtual server loadbalancing (Vip-targeting-Vip in the same device). How to use this snippet: This scenario is composed by the next set of objects: 4 nodes (Node1, Node2, Node3, Node4) 1 additional node called "internal_node" (which represents the VIP used on VIP-Targeting-VIP) 2 pools called "ClusterA_pool" and "ClusterB_pool" (which points to each pair of nodes) 1 additional pool called "MyPool" (which points the two internal VIP) 2 virtual servers called "ClusterA_vs" and "ClusterB_vs" (which use RoundRobin to the pools of the same name) 1 virtual server called "MyVS" (which is the visible VS and points to "MyPool") By the way, I use a "Slow Ramp Time" of 0 to reduce the failover time. Following you can find an example of configuration: ----------------- ltm virtual MyVS { destination 10.130.40.150:http ip-protocol tcp mask 255.255.255.255 persist { universal { default yes } } pool MyPool profiles { tcp { } } rules { MyRule } source 0.0.0.0/0 translate-address enabled translate-port enabled vs-index 53 } ltm virtual ClusterA_vs { destination 10.130.40.150:1001 ip-protocol tcp mask 255.255.255.255 pool ClusterA_pool profiles { tcp { } } source 0.0.0.0/0 translate-address enabled translate-port enabled vs-index 54 } ltm virtual ClusterB_vs { destination 10.130.40.150:1002 ip-protocol tcp mask 255.255.255.255 pool ClusterB_pool profiles { tcp { } } source 0.0.0.0/0 translate-address enabled translate-port enabled vs-index 55 } ltm pool ClusterA_pool { members { Node1:http { address 10.130.40.201 session monitor-enabled state up } Node2:http { address 10.130.40.202 session monitor-enabled state up } } monitor tcp slow-ramp-time 0 } ltm pool ClusterB_pool { members { Node3:http { address 10.130.40.203 session monitor-enabled state up } Node4:http { address 10.130.40.204 session monitor-enabled state up } } monitor tcp slow-ramp-time 0 } ltm node local_node { address 10.130.40.150 } ----------------- Code : when CLIENT_ACCEPTED { set initial 0 set entry "" } when LB_SELECTED { incr initial # Checks if persistence entry exists catch { set entry [persist lookup uie [virtual name]] } # Loadbalancing selection base on persistence if { $entry eq "" } { set selection [LB::server port] } else { set selection [lindex [split $entry " "] 2] set status [LB::status pool MyPool member [LB::server addr] $selection] if { $status ne "up" } { catch { [persist delete uie [virtual name]] } set selection [LB::server port] } } # Adds a new persistence entry catch { persist add uie [virtual name] } # Applies the selection switch $selection { # This numbers represents the ports used at the VIP-targeting-VIP "1001" { LB::reselect virtual ClusterA_vs } "1002" { LB::reselect virtual ClusterB_vs } } } Tested this on version: 12.1
Is F5 r-series device instance is automatically turned on after power failure
We have F5 r-series hardware device and configured one instance(Tenant)on that F5 os appliance my query is after a power failure that instance(F5-tenant ) is turned on automatically or do we need to turn it on manually after the r-series appliance comes up.
