Showing posts with label VMware. Show all posts
Showing posts with label VMware. Show all posts

Friday, September 20, 2024

VMware PowerCLI 101 - part10 - Verify vSphere cluster state

To verify the most common selected status attributes of the cluster:

Get-Cluster | Get-VMHost | Select Name,@{N='HAState';E={$_.ExtensionData.Runtime.DasHostState.State}},ConnectionState,PowerState,@{N='OverallStatus';E={$_.ExtensionData.OverallStatus}},@{N='ConfigStatus';E={$_.ExtensionData.ConfigStatus}},@{N='InMaintenanceMode';E={$_.ExtensionData.Runtime.InMaintenanceMode}},@{N='RebootRequired';E={$_.ExtensionData.Summary.RebootRequired}},@{N='BootTime';E={$_.ExtensionData.Runtime.BootTime}} | ft

> Get-Cluster | Get-VMHost | Select Name,@{N='HAState';E={$_.ExtensionData.Runtime.DasHostState.State}},ConnectionState,PowerState,@{N='OverallStatus';E={$_.ExtensionData.OverallStatus}},@{N='ConfigStatus';E={$_.ExtensionData.ConfigStatus}},@{N='InMaintenanceMode';E={$_.ExtensionData.Runtime.InMaintenanceMode}},@{N='RebootRequired';E={$_.ExtensionData.Summary.RebootRequired}},@{N='BootTime';E={$_.ExtensionData.Runtime.BootTime}} | ft

Name      HAState           ConnectionState PowerState OverallStatus ConfigStatus InMaintenanceMode RebootRequired BootTime
----      -------           --------------- ---------- ------------- ------------ ----------------- -------------- --------
10.90.1.4 connectedToMaster       Connected  PoweredOn        yellow       yellow             False          False 8/27/2024 7:31:10 AM
10.90.1.5 master                  Connected  PoweredOn        yellow       yellow             False          False 9/6/2024 9:08:09 PM

Hope it was useful. Cheers!

Thursday, August 1, 2024

A decade of tech - My professional journey so far

Laying the Groundwork

My professional career commenced in February 2014, as a Trainee IT Services Engineer at Alamy Images. During my initial days, I was tasked with daily maintenance activities such as running tape backups, setting up Active Directory user accounts, mailboxes, and desktops for new employees. I also handled general IT support, troubleshooting various user issues within the organization.

After a few months, I had the opportunity to set up a lab infrastructure project using old decommissioned servers as part of a continuous learning initiative. This hands-on experience involved racking, stacking, and cabling physical servers, installing and configuring ESXi and Hyper-V hypervisors, FreeNAS storage servers, and deploying highly available clusters. Additionally, I gained exposure to configuring L2 network switches. This project significantly contributed to building my IT infrastructure foundation.

A year later, I was promoted to Junior IT Services Engineer, where I focused on virtualization projects. I spearheaded the migration of over 20 Dev/ Test/ UAT virtual machines from VMware to a Hyper-V cluster, enhancing system flexibility and cost-efficiency. I deployed a high-availability Hyper-V failover cluster in production and contributed to the planning and execution of a iSCSI storage server migration project.

Beyond virtualization, I worked on network infrastructure by a seamless L2 switch replacement and upgrade project with minimal operational disruption. Furthermore, I assisted in capacity planning initiatives for optimized resource utilization for both physical and virtual environments. These experiences refined my technical skills and problem-solving abilities. During this time, I developed a passion for infrastructure management and optimization, shaping my future career path.

From Junior IT Services Engineer to Storage Solutions Engineer

In January 2017, I transitioned to a Systems Development Engineer role at Dell EMC, specializing in Solutions Engineering. This marked a significant career shift as I immersed myself in the world of storage and virtualization solutions integration/development.

My daily responsibilities encompassed the installation and testing of various components, progressing from integration to validating system reliability and performance at scale. I designed and deployed multiple PowerFlex software-defined storage clusters for customer demos and proof-of-concepts, showcasing the product's performance and auto rebuild capabilities. A notable achievement was automating the storage performance benchmarking using PowerShell, FIO, and ELK stack, reducing process time from weeks to days.

I led the engineering efforts for developing a vROps management pack for PowerFlex, ensuring seamless integration and visibility. Additionally, I mastered vSphere Virtual Volumes (vVols), successfully executing integration projects between Dell storage solutions and VMware environments.

To streamline operations, I created a PowerShell module for managing PowerFlex using REST APIs and developed Ansible playbook for automated deployment of Kubernetes cluster with PowerFlex CSI driver. My expertise extended beyond systems engineering and automation as I authored and published whitepapers on disaster recovery using VMware SRM and hardware lifecycle management with Dell OME.

This period solidified my reputation as a virtualization and storage solutions expert, providing me with a deep understanding of storage architecture, performance optimization, and automation. I developed a passion for building scalable and reliable hyperconverged solutions.

From Storage Solutions Engineer to Site Reliability Engineer

In July 2021, I transitioned to a Site Reliability Engineer (SRE) role at VMware, focusing on ensuring the reliability and scalability of Kubernetes-as-a-Service project based on the vSphere with Tanzu platform.


Managing a vast infrastructure of Kubernetes clusters, I honed my skills in incident response, GitOps pipelines, automation, and monitoring. I played a crucial role in maintaining platform availability, collaborating closely with multiple internal teams and stakeholders to resolve issues and enhance service delivery. My proficiency in Python and PowerShell was instrumental in automating tasks and building custom monitoring solutions. During this time, I prepared diligently, practiced extensively, and successfully qualified for the CKA exam.

Beyond core SRE responsibilities, I explored emerging technologies. I successfully deployed and evaluated open-source language models on Kubernetes using Python, Ollama, and LangChain. In addition, I contributed to developing custom metrics for the Kubernetes-as-a-Service platform using Python, Prometheus, Grafana, and Helm.

This role deepened my expertise and ability to bridge the gap between development and operations, fostering a culture of reliability and efficiency. It has been an exciting journey of learning and growth, positioning me as a versatile IT professional with a strong foundation in both infrastructure and cloud-native technologies.

Gratitude

"This journey has been immensely fulfilling, made possible by the support and encouragement of exceptional organisations, inspiring managers, talented colleagues, friends, and family. I am truly grateful for the opportunities to learn, grow, and contribute meaningfully to driving success and making a positive impact."

The journey continues...

Thursday, July 4, 2024

vSphere with Tanzu using NSX-T - Part35 - Monitoring supervisor cluster health with Python and vCenter APIs

vSphere with Tanzu Supervisor cluster is a Kubernetes platform that simplifies the deployment, management, and scaling of Kubernetes clusters. Monitoring the health of your WCP/ Supervisor clusters is crucial to ensure the smooth running of your Tanzu Kubernetes Clusters (TKCs) and applications. In this blog post, we'll explore how to use Python and vCenter APIs to verify the health of your Supervisor clusters.

You can access the Python script from my GitHub repository: https://github.com/vineethac/VMware/tree/main/vSphere_with_Tanzu/wcp_cluster_health



This script connects to the vCenter server, retrieves the cluster summary, and checks the Tanzu Supervisor cluster configuration info and prints the status of the cluster. By using this Python script, you can easily monitor the health of your Tanzu Supervisor clusters through vCenter APIs.

Hope it was useful. Cheers!

Wednesday, June 26, 2024

vSphere with Tanzu using NSX-T - Part33 - Troubleshooting intermittent connection timeouts to apiserver and workloads

In the realm of managing Tanzu Kubernetes clusters (TKCs), we have encountered several challenges that hindered the smooth functioning of our applications. In this blog post, we will discuss three such cases and the workarounds we employed to resolve them.


Case 1: TKC Control Plane Node Connectivity Issues


Symptoms:
  • TKC apiserver connection timeouts when attempting to connect using the kubeconfig.
  • Traffic was not flowing to two of the control plane nodes.
  • NSX-T web UI LB VS stats indicated this issue.


Case 2: TKC Worker Node Connectivity Issues


Symptoms:
  • Workload (example: PostgreSQL cluster) connection timeouts.
  • Traffic was not flowing to two of the worker nodes in the TKC.
  • NSX-T web UI LB VS stats indicated this issue.


Case 3: Load Balancer Connectivity Issues


Symptoms:
  • Connection timeouts when attempting to connect to a PostgreSQL workload through the load balancer VS IP.
  • This issue was observed only when creating new services of type LoadBalancer in the TKC.
  • We noticed datapath mempool usage for the edge nodes was above the threshold value.


Resolution/ work around

  • Find the T1 router that is attached to the TKC which has connectivity issues. 
  • In an Active - Standby HA configuration, you will see that there will be one Edge node that will be Active and another one in Standby status. 
  • First place the Standby Edge node in NSX MM, reboot it, and then exit it from NSX MM. 
  • Now, place the Active Edge node in NSX MM, there will be a slight network disruption during this failover, once it is in NSX MM, reboot it, and then exit NSX MM. 
  • This should resolved the issue.


In conclusion, these cases illustrate the importance of verifying NSX-T components when managing Tanzu Kubernetes clusters. By identifying the root cause of the issues and employing effective workarounds, we were able to restore functionality and maintain the health of our applications. Stay tuned for more insights and best practices in managing Kubernetes clusters.

Hope it was useful. Cheers!

vSphere with Tanzu using NSX-T - Part32 - Troubleshooting BGP related issues

This article provides basic guidance on troubleshooting BGP related issues.

Sample diagram showing connectivity between Edge Nodes and TOR switches

Verify Tier-0 Gateway status on NSX-T

  • Status of T0 should be Success.


  • Check the interfaces of T0 to identify which all edge nodes are part of it.


  • Check the status of Edge Transport Nodes.


  • As you can see from the T0 interfaces, Edge01/02/03/04 are part of it and in those edge nodes you should be able to see the SR_TIER0 component. Next step is to login to those Edge nodes that are part of T0 and verify BGP summary.

Verify BGP on all Edge nodes that are part of T0 Gateway  

  • SSH into the edge node as admin user.
  • get logical-router
  • Look for SERVICE_ROUTER_TIER0.
sc2-01-nsxt04-r08edge02> get logical-router
Logical Router
UUID                                   VRF    LR-ID  Name                              Type                        Ports   Neighbors
736a80e3-23f6-5a2d-81d6-bbefb2786666   0      0                                        TUNNEL                      4       22/5000
e6d02207-c51e-4cf8-81a6-44afec5ad277   2      84653  DR-t1-domain-c1034:1de3adfa-0ee   DISTRIBUTED_ROUTER_TIER1    5       9/50000
a590f1da-2d79-4749-8153-7b174d23b069   32     85271  DR-t1-domain-c1034:1de3adfa-0ee   DISTRIBUTED_ROUTER_TIER1    5       5/50000
758d9736-6781-4b3a-906f-3d1b03f0924d   33     88016  DR-t1-domain-c1034:1de3adfa-0ee   DISTRIBUTED_ROUTER_TIER1    4       1/50000
5e7bfe98-0b5e-4620-90b1-204634e99127   37     3      SR-sc2-01-nsxt04-tr               SERVICE_ROUTER_TIER0        6       5/50000
  • vrf <SERVICE_ROUTER_TIER0 VRF>
  • get bgp neighbor summary
  • Note: If everything is working fine State should show Estab.
sc2-01-nsxt04-r08edge02> vrf 37
sc2-01-nsxt04-r08edge02(tier0_sr[37])> get bgp neighbor summary
BFD States: NC - Not configured, DC - Disconnected
            AD - Admin down, DW - Down, IN - Init, UP - Up
BGP summary information for VRF default for address-family: ipv4Unicast
Router ID: 10.184.248.2  Local AS: 4259971071

Neighbor                            AS          State Up/DownTime  BFD InMsgs  OutMsgs InPfx  OutPfx

10.184.248.239                      4259970544  Estab 05w1d22h     NC  12641393 12610093 2      568
10.184.248.240                      4259970544  Estab 05w1d23h     NC  12640337 11580431 2      566

  • You should be able to ping to the BGP neighbor IP. If you are unable to ping to neighbor IPs, then there is an issue.
sc2-01-nsxt04-r08edge02(tier0_sr[37])> ping 10.184.248.239
PING 10.184.248.239 (10.184.248.239): 56 data bytes
64 bytes from 10.184.248.239: icmp_seq=0 ttl=255 time=1.788 ms
^C
--- 10.184.248.239 ping statistics ---
2 packets transmitted, 1 packets received, 50.0% packet loss
round-trip min/avg/max/stddev = 1.788/1.788/1.788/0.000 ms

sc2-01-nsxt04-r08edge02(tier0_sr[37])> ping 10.184.248.240
PING 10.184.248.240 (10.184.248.240): 56 data bytes
64 bytes from 10.184.248.240: icmp_seq=0 ttl=255 time=1.925 ms
64 bytes from 10.184.248.240: icmp_seq=1 ttl=255 time=1.251 ms
^C
--- 10.184.248.240 ping statistics ---
3 packets transmitted, 2 packets received, 33.3% packet loss
round-trip min/avg/max/stddev = 1.251/1.588/1.925/0.337 ms

  • Get interfaces | more
sc2-01-nsxt04-r08edge02> vrf 37
sc2-01-nsxt04-r08edge02(tier0_sr[37])> get interfaces | more
Fri Aug 19 2022 UTC 11:07:18.042
Logical Router
UUID                                   VRF    LR-ID  Name                              Type
5e7bfe98-0b5e-4620-90b1-204634e99127   37     3      SR-sc2-01-nsxt04-tr               SERVICE_ROUTER_TIER0
Interfaces (IPv6 DAD Status A-DAD_Success, F-DAD_Duplicate, T-DAD_Tentative, U-DAD_Unavailable)
    Interface     : dd83554d-47c0-5a4e-9fbe-3abb1239a071
    Ifuid         : 335
    Mode          : cpu
    Port-type     : cpu
    Enable-mcast  : false

    Interface     : 008b2b15-17d1-4cc8-9d94-d9c4c2d0eb3a
    Ifuid         : 1000
    Name          : tr-interconnect-edge02
    Fwd-mode      : IPV4_AND_IPV6
    Internal name : uplink-1000
    Mode          : lif
    Port-type     : uplink
    IP/Mask       : 10.184.248.2/24
    MAC           : 02:00:70:51:9d:79
    VLAN          : 1611



Verify BGP on Cisco TOR switches

  • SSH to TOR switch.
  • show ip bgp summary
❯ ssh -o PubkeyAuthentication=no netadmin@sc2-01-r08lswa.xxxxxxxx.com
User Access Verification
(netadmin@sc2-01-r08lswa.xxxxxxxx.com) Password:

Cisco Nexus Operating System (NX-OS) Software

sc2-01-r08lswa# show ip bgp summary
BGP summary information for VRF default, address family IPv4 Unicast
BGP router identifier 10.184.17.248, local AS number 65001.65008
BGP table version is 520374, IPv4 Unicast config peers 10, capable peers 8
5150 network entries and 11372 paths using 2003240 bytes of memory
BGP attribute entries [110/18920], BGP AS path entries [69/1430]
BGP community entries [0/0], BGP clusterlist entries [0/0]
11356 received paths for inbound soft reconfiguration
11356 identical, 0 modified, 0 filtered received paths using 0 bytes

Neighbor        V    AS MsgRcvd MsgSent   TblVer  InQ OutQ Up/Down  State/PfxRcd
10.184.10.14    4 65011.65000
                        47979514 10570342   520374    0    0     5w1d 4541
10.184.10.78    4 65011.65000
                        47814555 10601750   520374    0    0     5w1d 4541
10.184.248.1    4 65001.65535
                          80831   79447   520374    0    0 02:41:51 566
10.184.248.2    4 65001.65535
                        3215614 3269391   520374    0    0     5w1d 566
10.184.248.3    4 65001.65535
                        3215776 3269344   520374    0    0     1w3d 566
10.184.248.4    4 65001.65535
                        3215676 3269383   520374    0    0 13:51:45 566
10.184.248.5    4 65001.65535
                        3200531 3269384   520374    0    0     5w1d 5
10.184.248.6    4 65001.65535
                        3197752 3266700   520374    0    0     5w1d 5


  • show ip arp
sc2-01-r08lswa# show ip arp 10.184.248.2

Flags: * - Adjacencies learnt on non-active FHRP router
       + - Adjacencies synced via CFSoE
       # - Adjacencies Throttled for Glean
       CP - Added via L2RIB, Control plane Adjacencies
       PS - Added via L2RIB, Peer Sync
       RO - Re-Originated Peer Sync Entry
       D - Static Adjacencies attached to down interface

IP ARP Table
Total number of entries: 1
Address         Age       MAC Address     Interface       Flags
10.184.248.2    00:06:12  0200.7051.9d79  Vlan1611


  • If you compare this IP and MAC, you can see that its the same of your T0 SR uplink of your edge02 node.
IP/Mask       : 10.184.248.2/24
MAC           : 02:00:70:51:9d:79

For further troubleshooting you can do packet capture from the edge nodes and ESXi server and analyze them using Wireshark.

Packet capture from Edge node

  • Capture packets from the T0 SR uplink interface.
sc2-01-nsxt04-r08edge01(tier0_sr[5])> get interfaces | more
Wed Aug 17 2022 UTC 13:52:48.203
Logical Router
UUID                                   VRF    LR-ID  Name                              Type
fb1ad846-8757-4fdf-9cbb-5c22ba772b52   5      2      SR-sc2-01-nsxt04-tr               SERVICE_ROUTER_TIER0
Interfaces (IPv6 DAD Status A-DAD_Success, F-DAD_Duplicate, T-DAD_Tentative, U-DAD_Unavailable)
    Interface     : c8b80ba1-93fc-5c82-a44f-4f4863b6413c
    Ifuid         : 286
    Mode          : cpu
    Port-type     : cpu
    Enable-mcast  : false

    Interface     : 4915d978-9c9a-58bc-84e2-cafe5442cba4
    Ifuid         : 287
    Mode          : blackhole
    Port-type     : blackhole

    Interface     : 899bcf30-83e2-46bb-9be2-8889ec52b354
    Ifuid         : 833
    Name          : tr-interconnect-edge01
    Fwd-mode      : IPV4_AND_IPV6
    Internal name : uplink-833
    Mode          : lif
    Port-type     : uplink
    IP/Mask       : 10.184.248.1/24
    MAC           : 02:00:70:d1:92:b1
    VLAN          : 1611
    Access-VLAN   : untagged
    LS port       : 15b971e9-7caa-43b7-86c1-96ff50453402
    Urpf-mode     : STRICT_MODE
    DAD-mode      : LOOSE
    RA-mode       : SLAAC_DNS_TRHOUGH_RA(M=0, O=0)
    Admin         : up
    Op_state      : up
    Enable-mcast  : False
    MTU           : 9000
    arp_proxy     :


  • Start a continuous ping from the TOR switches to the edge uplink IP (in this case ping 10.184.248.1 from TOR switches) before starting packet capture.
sc2-01-nsxt04-r08edge01> start capture interface 899bcf30-83e2-46bb-9be2-8889ec52b354 file uplink.pcap


Note:
Find the location of uplink.pcap file on TOR switches and SCP it locally to analyze using Wireshark.

 

Packet capture from ESXi

  • In this example, we are capturing packets of sc2-01-nsxt04-r08edge01 VM from the switchports where its interfaces are connected. sc2-01-nsxt04-r08edge01 VM is running on ESXi node sc2-01-r08esx10.
[root@sc2-01-r08esx10:~] esxcli network vm list | grep edge
18790721  sc2-01-nsxt04-r08edge05                                                 3  , ,
18977245  sc2-01-nsxt04-r08edge01                                                 3  , ,

[root@sc2-01-r08esx10:/tmp] esxcli network vm port list -w 18977245
   Port ID: 67109446
   vSwitch: sc2-01-vc16-dvs
   Portgroup:
   DVPort ID: b60a80c0-ecd6-40bd-8d2b-fbd1f06bb172
   MAC Address: 02:00:70:33:a9:67
   IP Address: 0.0.0.0
   Team Uplink: vmnic1
   Uplink Port ID: 2214592517
   Active Filters:

   Port ID: 67109447
   vSwitch: sc2-01-vc16-dvs
   Portgroup:
   DVPort ID: 6e3d8057-fc23-4180-b0ba-bed90381f0bf
   MAC Address: 02:00:70:d1:92:b1
   IP Address: 0.0.0.0
   Team Uplink: vmnic1
   Uplink Port ID: 2214592517
   Active Filters:

   Port ID: 67109448
   vSwitch: sc2-01-vc16-dvs
   Portgroup:
   DVPort ID: c531df19-294d-4079-b39c-89a3b58e30ad
   MAC Address: 02:00:70:30:c7:01
   IP Address: 0.0.0.0
   Team Uplink: vmnic0
   Uplink Port ID: 2214592519
   Active Filters:



  • Start a continuous ping from the TOR switches to the edge uplink IP (in this case ping 10.184.248.1 from TOR switches) before starting packet capture.
[root@sc2-01-r08esx10:/tmp] pktcap-uw --switchport 67109446 --dir 2 -o /tmp/67109446-02:00:70:33:a9:67.pcap --count 1000 & pktcap-uw --switchport 67109447 --dir 2 -o /tmp/67109447-02:00:70:d1:92:b1.pcap --count 1000 & pktcap-uw --switchport 67109448 --dir 2 -o /tmp/67109448-02:00:70:30:c7:01.pcap --count 1000




Note:
SCP the pcap files to laptop and use Wireshark to analyse them.
You can also do packet capture from physical uplinks (vmnic) of the ESXi node if required.

Hope it was useful. Cheers!

Saturday, May 25, 2024

vSphere with Tanzu using NSX-T - Part30 - Troubleshooting inaccessible TKC with server pool members missing in the LB VS

Encountering issues with connectivity to your TKC apiserver/ control plane can be frustrating. One common problem we've seen is the kubeconfig failing to connect, often due to missing server pool members in the load balancer's virtual server (LB VS).

The Issue

The LB VS, which operates on port 6443, should have the control plane VMs listed as its member servers. When these members are missing, connectivity problems arise, disrupting your access to the TKC apiserver.

Troubleshooting steps

  1. Access the TKC: Use the kubeconfig to access the TKC.
    ❯ KUBECONFIG=tkc.kubeconfig kubectl get node
    Unable to connect to the server: dial tcp 10.191.88.4:6443: i/o timeout
    
    
  2. Check the Load Balancer: In NSX-T, verify the status of the corresponding load balancer (LB). It may display a green status indicating success.
  3. Inspect Virtual Servers: Check the virtual servers in the LB, particularly on port 6443. They might show as down.
  4. Examine Server Pool Members: Look into the server pool members of the virtual server. You may find it empty.
  5. SSH to Control Plane Nodes: Attempt to SSH into the TKC control plane nodes.
  6. Run Diagnostic Commands: Execute diagnostic commands inside the control plane nodes to verify their status. The issue could be that the control plane VMs are in a hung state, and the container runtime is not running.
    vmware-system-user@tkc-infra-r68zc-jmq4j [ ~ ]$ sudo su
    root [ /home/vmware-system-user ]# crictl ps
    FATA[0002] failed to connect: failed to connect, make sure you are running as root and the runtime has been started: context deadline exceeded
    root [ /home/vmware-system-user ]#
    root [ /home/vmware-system-user ]# systemctl is-active containerd
    Failed to retrieve unit state: Failed to activate service 'org.freedesktop.systemd1': timed out (service_start_timeout=25000ms)
    root [ /home/vmware-system-user ]#
    root [ /home/vmware-system-user ]# systemctl status containerd
    WARNING: terminal is not fully functional
    -  (press RETURN)Failed to get properties: Failed to activate service 'org.freedesktop.systemd1'>
    lines 1-1/1 (END)lines 1-1/1 (END)
    
  7. Check VM Console: From vCenter, check the console of the control plane VMs. You might see specific errors indicating issues.
    EXT4-fs (sda3): Delayed block allocation failed for inode 266704 at logical offset 10515 with max blocks 2 with error 5
    EXT4-fs (sda3): This should not happen!! Data will be lost
    EXT4-fs error (device sda3) in ext4_writepages:2905: IO failure
    EXT4-fs error (device sda3) in ext4_reserve_inode_write:5947: Journal has aborted
    EXT4-fs error (device sda3) xxxxxx-xxx-xxxx: unable to read itable block
    EXT4-fs error (device sda3) in ext4_journal_check_start:61: Detected aborted journal
    systemd[1]: Caught <BUS>, dumped core as pid 24777.
    systemd[1]: Freezing execution.
    
  8. Restart Control Plane VMs: Restart the control plane VMs. Note that sometimes your admin credentials or administrator@vsphere.local credentials may not allow you to restart the TKC VMs. In such cases, decode the username and password from the relevant secret and use these credentials to connect to vCenter and restart the hung TKC VMs.
    ❯ kubectx wdc-01-vc17
    Switched to context "wdc-01-vc17".
    
    ❯ kg secret -A | grep wcp
    kube-system                                 wcp-authproxy-client-secret                                               kubernetes.io/tls                                  3      291d
    kube-system                                 wcp-authproxy-root-ca-secret                                              kubernetes.io/tls                                  3      291d
    kube-system                                 wcp-cluster-credentials                                                   Opaque                                             2      291d
    vmware-system-nsop                          wcp-nsop-sa-vc-auth                                                       Opaque                                             2      291d
    vmware-system-nsx                           wcp-cluster-credentials                                                   Opaque                                             2      291d
    vmware-system-vmop                          wcp-vmop-sa-vc-auth                                                       Opaque                                             2      291d
    
    ❯ kg secrets -n vmware-system-vmop wcp-vmop-sa-vc-auth
    NAME                  TYPE     DATA   AGE
    wcp-vmop-sa-vc-auth   Opaque   2      291d
    ❯ kg secrets -n vmware-system-vmop wcp-vmop-sa-vc-auth -oyaml
    apiVersion: v1
    data:
      password: aWAmbHUwPCpKe1Uxxxxxxxxxxxx=
      username: d2NwLXZtb3AtdXNlci1kb21haW4tYzEwMDYtMxxxxxxxxxxxxxxxxxxxxxxxxQHZzcGhlcmUubG9jYWw=
    kind: Secret
    metadata:
      creationTimestamp: "2022-10-24T08:32:26Z"
      name: wcp-vmop-sa-vc-auth
      namespace: vmware-system-vmop
      resourceVersion: "336557268"
      uid: dcbdac1b-18bb-438c-ba11-76ed4d6bef63
    type: Opaque
    
    
    ***Decrypt the username and password from the secret and use it to connect to the vCenter.
    ***Following is an example using PowerCLI:
    
    PS /Users/vineetha> get-vm gc-control-plane-f266h
    
    Name                 PowerState Num CPUs MemoryGB
    ----                 ---------- -------- --------
    gc-control-plane-f2… PoweredOn  2        4.000
    
    PS /Users/vineetha> get-vm gc-control-plane-f266h | Restart-VMGuest
    Restart-VMGuest: 08/04/2023 22:20:20	Restart-VMGuest		Operation "Restart VM guest" failed for VM "gc-control-plane-f266h" for the following reason: A general system error occurred: Invalid fault
    PS /Users/vineetha>
    PS /Users/vineetha> get-vm gc-control-plane-f266h | Restart-VM
    
    Confirm
    Are you sure you want to perform this action?
    Performing the operation "Restart-VM" on target "VM 'gc-control-plane-f266h'".
    [Y] Yes  [A] Yes to All  [N] No  [L] No to All  [S] Suspend  [?] Help (default is "Y"): Y
    
    Name                 PowerState Num CPUs MemoryGB
    ----                 ---------- -------- --------
    gc-control-plane-f2… PoweredOn  2        4.000
    
    PS /Users/vineetha>
    
  9. Verify System Pods and Connectivity: Once the control plane VMs are restarted, the system pods inside them will start, and the apiserver will become accessible using the kubeconfig. You should also see the previously missing server pool members reappear in the corresponding LB virtual server, and the virtual server on port 6443 will be up and show a success status.

Following these steps should help you resolve the connectivity issues with your TKC apiserver/control plane effectively.Ensuring that your load balancer's virtual server is correctly configured with the appropriate member servers is crucial for maintaining seamless access. This runbook aims to guide you through the process, helping you get your TKC apiserver back online swiftly.

Note: If required for critical production issues related to TKC accessibility I strongly recommend to raise a product support request.

Hope it was useful. Cheers!

Sunday, November 13, 2022

vSphere with Tanzu using NSX-T - Part20 - Safely deleting NotReady nodes from a TKC

In this article we will look at a TKC that is stuck at updating phase which has multiple Kubernetes nodes in NotReady state. 

jtimothy-napp01     gc    updating       2021-07-29T16:59:34Z   v1.20.9+vmware.1-tkg.1.a4cee5b     3     3

❯ gcc kg no | grep NotReady | wc -l
5

❯ gcc kg no
NAME STATUS ROLES AGE VERSION
gc-control-plane-2rbsb Ready control-plane,master 410d v1.20.9+vmware.1
gc-control-plane-5zjn4 Ready control-plane,master 123d v1.20.9+vmware.1
gc-control-plane-9t97w Ready control-plane,master 123d v1.20.9+vmware.1
gc-control-plane-tnhv9 NotReady                    control-plane,master 63d v1.20.9+vmware.1
gc-control-plane-tqvnk NotReady                   control-plane,master 50d v1.20.9+vmware.1
gc-control-plane-wsclb NotReady                   <none> 8d v1.20.9+vmware.1
gc-control-plane-wt6sx NotReady                   <none> 30d v1.20.9+vmware.1
gc-control-plane-zthnq NotReady                   control-plane,master 49d v1.20.9+vmware.1
gc-workers-ztr5c-6f4b555879-2v8pl Ready <none> 458d v1.20.9+vmware.1
gc-workers-ztr5c-6f4b555879-8qs4p Ready <none> 456d v1.20.9+vmware.1
gc-workers-ztr5c-6f4b555879-r29d5 Ready <none> 458d v1.20.9+vmware.1

❯ gcc kg po -A -o wide | grep etcd
kube-system etcd-gc-control-plane-2rbsb 0/1 Running 811 410d 172.31.14.6 gc-control-plane-2rbsb <none> <none>
kube-system etcd-gc-control-plane-5zjn4 1/1 Running 1 124d 172.31.14.7 gc-control-plane-5zjn4 <none> <none>
kube-system etcd-gc-control-plane-9t97w 1/1 Running 1 123d 172.31.14.8 gc-control-plane-9t97w <none> <none>

Note: gcc is alias that I am using for KUBECONFIG=gckubeconfig, where gckubeconfig is the kubeconfig file for the TKC under consideration.

Lets verify where etcd pods are running.

❯ gcc kg po -A -o wide | grep etcd
kube-system etcd-gc-control-plane-2rbsb 0/1 Running 811 410d 172.31.14.6 gc-control-plane-2rbsb <none> <none>
kube-system etcd-gc-control-plane-5zjn4 1/1 Running 1 124d 172.31.14.7 gc-control-plane-5zjn4 <none> <none>
kube-system etcd-gc-control-plane-9t97w 1/1 Running 1 123d 172.31.14.8 gc-control-plane-9t97w <none> <none>

You can see etcd pods are running on nodes that are in Ready status. So now we can go ahead and safely drain and delete the nodes that are NotReady.

❯ notreadynodes=$(gcc kubectl get nodes | grep NotReady | awk '{print $1;}')

❯ echo $notreadynodes
gc-control-plane-tnhv9
gc-control-plane-tqvnk
gc-control-plane-wsclb
gc-control-plane-wt6sx
gc-control-plane-zthnq

❯ echo "$notreadynodes" | while IFS= read -r line ; do echo $line; gcc kubectl drain $line --ignore-daemonsets; gcc kubectl delete node $line; echo "----"; done

gc-control-plane-tnhv9
node/gc-control-plane-tnhv9 already cordoned
WARNING: ignoring DaemonSet-managed Pods: kube-system/calico-node-nzbgq, kube-system/kube-proxy-2jqqr, vmware-system-csi/vsphere-csi-node-46g6r
node/gc-control-plane-tnhv9 drained
node "gc-control-plane-tnhv9" deleted
----
gc-control-plane-tqvnk
node/gc-control-plane-tqvnk already cordoned
WARNING: ignoring DaemonSet-managed Pods: kube-system/calico-node-45xfc, kube-system/kube-proxy-dxrkr, vmware-system-csi/vsphere-csi-node-wrvlk
node/gc-control-plane-tqvnk drained
node "gc-control-plane-tqvnk" deleted
----
gc-control-plane-wsclb
node/gc-control-plane-wsclb already cordoned
WARNING: ignoring DaemonSet-managed Pods: kube-system/calico-node-5t254, kube-system/kube-proxy-jt2dp, vmware-system-csi/vsphere-csi-node-w2bhf
node/gc-control-plane-wsclb drained
node "gc-control-plane-wsclb" deleted
----
gc-control-plane-wt6sx
node/gc-control-plane-wt6sx already cordoned
WARNING: ignoring DaemonSet-managed Pods: kube-system/calico-node-24pn5, kube-system/kube-proxy-b5vl5, vmware-system-csi/vsphere-csi-node-hfjdw
node/gc-control-plane-wt6sx drained
node "gc-control-plane-wt6sx" deleted
----
gc-control-plane-zthnq
node/gc-control-plane-zthnq already cordoned
WARNING: ignoring DaemonSet-managed Pods: kube-system/calico-node-vp895, kube-system/kube-proxy-8mg8n, vmware-system-csi/vsphere-csi-node-hs22g
node/gc-control-plane-zthnq drained
node "gc-control-plane-zthnq" deleted
----

❯ gcc kg no
NAME STATUS ROLES AGE VERSION
gc-control-plane-2rbsb Ready control-plane,master 410d v1.20.9+vmware.1
gc-control-plane-5zjn4 Ready control-plane,master 123d v1.20.9+vmware.1
gc-control-plane-9t97w Ready control-plane,master 123d v1.20.9+vmware.1
gc-workers-ztr5c-6f4b555879-2v8pl Ready <none> 458d v1.20.9+vmware.1
gc-workers-ztr5c-6f4b555879-8qs4p Ready <none> 456d v1.20.9+vmware.1
gc-workers-ztr5c-6f4b555879-r29d5 Ready <none> 458d v1.20.9+vmware.1

❯ kgtkca | grep jtimothy-napp01
jtimothy-napp01 gc updating 2021-07-29T16:59:34Z v1.20.9+vmware.1-tkg.1.a4cee5b 3 3

Now, I waited for few minutes to see whether the reconciliation process will proceed and change the status of the TKC from updating to running. But it was still stuck at updating phase. So I described the TKC.

Conditions:
Last Transition Time: 2022-12-30T19:47:15Z
Message: Rolling 1 replicas with outdated spec (2 replicas up to date)
Reason: RollingUpdateInProgress
Severity: Warning
Status: False
Type: Ready
Last Transition Time: 2023-01-01T19:19:45Z
Status: True
Type: AddonsReady
Last Transition Time: 2022-12-30T19:47:15Z
Message: Rolling 1 replicas with outdated spec (2 replicas up to date)
Reason: RollingUpdateInProgress
Severity: Warning
Status: False
Type: ControlPlaneReady
Last Transition Time: 2022-07-24T15:53:06Z
Status: True
Type: NodePoolsReady
Last Transition Time: 2022-09-01T09:02:26Z
Message: 3/3 Control Plane Node(s) healthy. 3/3 Worker Node(s) healthy
Status: True
Type: NodesHealthy

Checked vmop logs.

vmware-system-vmop/vmware-system-vmop-controller-manager-85d8986b94-xzd9h[manager]: E0103 08:43:51.449422       1 readiness_worker.go:111] readiness-probe "msg"="readiness probe fails" "error"="dial tcp 172.31.14.6:6443: connect: connection refused" "vmName"="jtimothy-napp01/gc-control-plane-2rbsb" "result"=-1

It says something is wrong with CP node gc-control-plane-2rbsb.
❯ gcc kg po -A -o wide | grep etcd
kube-system etcd-gc-control-plane-2rbsb 0/1 Running 811 410d 172.31.14.6 gc-control-plane-2rbsb <none> <none>
kube-system etcd-gc-control-plane-5zjn4 1/1 Running 1 124d 172.31.14.7 gc-control-plane-5zjn4 <none> <none>
kube-system etcd-gc-control-plane-9t97w 1/1 Running 1 123d 172.31.14.8 gc-control-plane-9t97w <none> <none>

You can see etcd pod is not running on first control plane node and is getting continuously restarted. So lets try to drain the CP node gc-control-plane-2rbsb.

❯ gcc k drain gc-control-plane-2rbsb
node/gc-control-plane-2rbsb cordoned
DEPRECATED WARNING: Aborting the drain command in a list of nodes will be deprecated in v1.23.
The new behavior will make the drain command go through all nodes even if one or more nodes failed during the drain.
For now, users can try such experience via: --ignore-errors
error: unable to drain node "gc-control-plane-2rbsb", aborting command...

There are pending nodes to be drained:
gc-control-plane-2rbsb
cannot delete DaemonSet-managed Pods (use --ignore-daemonsets to ignore): kube-system/calico-node-bdjp7, kube-system/kube-proxy-v9cqf, vmware-system-auth/guest-cluster-auth-svc-n4h2k, vmware-system-csi/vsphere-csi-node-djhpv
cannot delete Pods with local storage (use --delete-emptydir-data to override): vmware-system-csi/vsphere-csi-controller-b4fd6878d-zw5hn

❯ gcc k drain gc-control-plane-2rbsb --ignore-daemonsets --delete-emptydir-data
node/gc-control-plane-2rbsb already cordoned
WARNING: ignoring DaemonSet-managed Pods: kube-system/calico-node-bdjp7, kube-system/kube-proxy-v9cqf, vmware-system-auth/guest-cluster-auth-svc-n4h2k, vmware-system-csi/vsphere-csi-node-djhpv
evicting pod vmware-system-csi/vsphere-csi-controller-b4fd6878d-zw5hn
pod/vsphere-csi-controller-b4fd6878d-zw5hn evicted
node/gc-control-plane-2rbsb evicted

❯ gcc kg no
NAME STATUS ROLES AGE VERSION
gc-control-plane-2rbsb Ready,SchedulingDisabled control-plane,master 410d v1.20.9+vmware.1
gc-control-plane-5zjn4 Ready control-plane,master 123d v1.20.9+vmware.1
gc-control-plane-9t97w Ready control-plane,master 123d v1.20.9+vmware.1
gc-workers-ztr5c-6f4b555879-2v8pl Ready <none> 458d v1.20.9+vmware.1
gc-workers-ztr5c-6f4b555879-8qs4p Ready <none> 456d v1.20.9+vmware.1
gc-workers-ztr5c-6f4b555879-r29d5 Ready <none> 458d v1.20.9+vmware.1

Now lets delete its corresponding machine object.

❯ k delete machine.cluster.x-k8s.io/gc-control-plane-2rbsb -n jtimothy-napp01
machine.cluster.x-k8s.io "gc-control-plane-2rbsb" deleted

❯ kg machine -n jtimothy-napp01
NAME CLUSTER NODENAME PROVIDERID PHASE AGE VERSION
gc-control-plane-5zjn4 gc gc-control-plane-5zjn4 vsphere://42015c9c-feed-5eda-6fbe-f0da5d1434ea Running 124d v1.20.9+vmware.1
gc-control-plane-9t97w gc gc-control-plane-9t97w vsphere://4201377e-0f46-40b6-e222-9c723c6adb19 Running 123d v1.20.9+vmware.1
gc-workers-ztr5c-6f4b555879-2v8pl gc gc-workers-ztr5c-6f4b555879-2v8pl vsphere://420139b4-83f1-824f-7bd2-ed073a5dcf37 Running 458d v1.20.9+vmware.1
gc-workers-ztr5c-6f4b555879-8qs4p gc gc-workers-ztr5c-6f4b555879-8qs4p vsphere://4201d8ac-9cc2-07ac-c352-9f7e812b4367 Running 456d v1.20.9+vmware.1
gc-workers-ztr5c-6f4b555879-r29d5 gc gc-workers-ztr5c-6f4b555879-r29d5 vsphere://42017666-8cb4-2767-5d0b-1d3dc9219db3 Running 458d v1.20.9+vmware.1

❯ gcc kg no
NAME STATUS ROLES AGE VERSION
gc-control-plane-5zjn4 Ready control-plane,master 124d v1.20.9+vmware.1
gc-control-plane-9t97w Ready control-plane,master 123d v1.20.9+vmware.1
gc-workers-ztr5c-6f4b555879-2v8pl Ready <none> 458d v1.20.9+vmware.1
gc-workers-ztr5c-6f4b555879-8qs4p Ready <none> 456d v1.20.9+vmware.1
gc-workers-ztr5c-6f4b555879-r29d5 Ready <none> 458d v1.20.9+vmware.1


After few minutes you can see a new machine and the corresponding node got provisioned and the TKC changed from updating to running phase.

❯ kg machine -n jtimothy-napp01
NAME CLUSTER NODENAME PROVIDERID PHASE AGE VERSION
gc-control-plane-5zjn4 gc gc-control-plane-5zjn4 vsphere://42015c9c-feed-5eda-6fbe-f0da5d1434ea Running 124d v1.20.9+vmware.1
gc-control-plane-9t97w gc gc-control-plane-9t97w vsphere://4201377e-0f46-40b6-e222-9c723c6adb19 Running 123d v1.20.9+vmware.1
gc-control-plane-dnr66 gc Provisioning 13s v1.20.9+vmware.1
gc-workers-ztr5c-6f4b555879-2v8pl gc gc-workers-ztr5c-6f4b555879-2v8pl vsphere://420139b4-83f1-824f-7bd2-ed073a5dcf37 Running 458d v1.20.9+vmware.1
gc-workers-ztr5c-6f4b555879-8qs4p gc gc-workers-ztr5c-6f4b555879-8qs4p vsphere://4201d8ac-9cc2-07ac-c352-9f7e812b4367 Running 456d v1.20.9+vmware.1
gc-workers-ztr5c-6f4b555879-r29d5 gc gc-workers-ztr5c-6f4b555879-r29d5 vsphere://42017666-8cb4-2767-5d0b-1d3dc9219db3 Running 458d v1.20.9+vmware.1



❯ kg machine -n jtimothy-napp01
NAME CLUSTER NODENAME PROVIDERID PHASE AGE VERSION
gc-control-plane-5zjn4 gc gc-control-plane-5zjn4 vsphere://42015c9c-feed-5eda-6fbe-f0da5d1434ea Running 124d v1.20.9+vmware.1
gc-control-plane-9t97w gc gc-control-plane-9t97w vsphere://4201377e-0f46-40b6-e222-9c723c6adb19 Running 124d v1.20.9+vmware.1
gc-control-plane-dnr66 gc gc-control-plane-dnr66 vsphere://42011228-b156-3338-752a-e7233c9258dd Running 2m2s v1.20.9+vmware.1
gc-workers-ztr5c-6f4b555879-2v8pl gc gc-workers-ztr5c-6f4b555879-2v8pl vsphere://420139b4-83f1-824f-7bd2-ed073a5dcf37 Running 458d v1.20.9+vmware.1
gc-workers-ztr5c-6f4b555879-8qs4p gc gc-workers-ztr5c-6f4b555879-8qs4p vsphere://4201d8ac-9cc2-07ac-c352-9f7e812b4367 Running 456d v1.20.9+vmware.1
gc-workers-ztr5c-6f4b555879-r29d5 gc gc-workers-ztr5c-6f4b555879-r29d5 vsphere://42017666-8cb4-2767-5d0b-1d3dc9219db3 Running 458d v1.20.9+vmware.1

❯ gcc kg no
NAME STATUS ROLES AGE VERSION
gc-control-plane-5zjn4 Ready control-plane,master 124d v1.20.9+vmware.1
gc-control-plane-9t97w Ready control-plane,master 123d v1.20.9+vmware.1
gc-control-plane-dnr66 NotReady control-plane,master 35s v1.20.9+vmware.1
gc-workers-ztr5c-6f4b555879-2v8pl Ready <none> 458d v1.20.9+vmware.1
gc-workers-ztr5c-6f4b555879-8qs4p Ready <none> 456d v1.20.9+vmware.1
gc-workers-ztr5c-6f4b555879-r29d5 Ready <none> 458d v1.20.9+vmware.1


❯ gcc kg no
NAME STATUS ROLES AGE VERSION
gc-control-plane-5zjn4 Ready control-plane,master 124d v1.20.9+vmware.1
gc-control-plane-9t97w Ready control-plane,master 123d v1.20.9+vmware.1
gc-control-plane-dnr66 Ready control-plane,master 53s v1.20.9+vmware.1
gc-workers-ztr5c-6f4b555879-2v8pl Ready <none> 458d v1.20.9+vmware.1
gc-workers-ztr5c-6f4b555879-8qs4p Ready <none> 456d v1.20.9+vmware.1
gc-workers-ztr5c-6f4b555879-r29d5 Ready <none> 458d v1.20.9+vmware.1

❯ kgtkca | grep jtimothy-napp01
jtimothy-napp01 gc running 2021-07-29T16:59:34Z v1.20.9+vmware.1-tkg.1.a4cee5b 3 3
Hope it was useful. Cheers!

Saturday, December 18, 2021

vSphere with Tanzu using NSX-T - Part13 - Export WCP admin kubeconfig

In the previous posts we discussed the following:

This article shows the steps to export WCP admin kubeconfig file from the supervisor control plane VM. This is the admin kubeconfig file that can be used to manage the Supervisor/ WCP K8s cluster.

Step1: SSH as root to the vCenter server.

Step2: Run the script /usr/lib/vmware-wcp/decryptK8Pwd.py and make a note of the IP and PWD.

Step3: SSH as root to the IP that you noted down from previous step, and then provide the password that you got from step2.

Step4: You can now copy the admin kubeconfig file from /etc/kubernetes/admin.conf file to your local machine. Make sure to modify the field server: https://127.0.0.1:6443 in your local admin.conf file to the IP that you got from step2 (server: https://IP_from_step2:6443). 

Note: If you are managing multiple WCP clusters, you can merge all the kubeconfig files. Refer this blog by Jacob Tomlinson for more details. 

Hope it was useful. Cheers!

Friday, December 10, 2021

ESXi in a HA cluster fails to Enter Maintenance Mode and gets stuck

Recently we came across a situation where when we try to put a ESXi host in Maintenance Mode, it is getting stuck at certain level. These ESXi nodes were part of a vSphere with Tanzu 7 U3 cluster. While troubleshooting we noticed that there are some VMs that are either orphaned or inaccessible running on it. We deleted those orphaned and inaccessible VMs and then the ESXi node enters Maintenance Mode successfully.

You can use VMware PowerCLI to list those orphaned and inaccessible VMs.

(Get-VMHost <host_fqdn> | Get-VM | Where {$_.ExtensionData.Summary.Runtime.ConnectionState -eq "orphaned"}) | select Name,Id,PowerState

(Get-VMHost <host_fqdn> | Get-VM | Where {$_.ExtensionData.Summary.Runtime.ConnectionState -eq "inaccessible"}) | select Name,Id,PowerState

We then deleted those orphaned and inaccessible VMs. You can try to delete them using Remove-VM command. 

Remove-VM -VM <vm_name> -DeletePermanently 

If that does not work, you can try with dcli.

dcli> com vmware vcenter vm delete --vm <vm-id>

Hope it was useful.

Friday, November 5, 2021

vSphere with Tanzu using NSX-T - Part12 - Deploy application on TKC and access it

In the previous posts we discussed the following:

This article walks you though the steps to deploy an application on Tanzu Kubernetes Cluster (TKC) and how to access it. I will try to explain how this all works under the hood.

Here I have a TKC cluster as shown below: 

% KUBECONFIG=gc.kubeconfig kg nodes                    
NAME                               STATUS   ROLES                  AGE   VERSION
gc-control-plane-pwngg             Ready    control-plane,master   49d   v1.20.9+vmware.1
gc-workers-wrknn-f675446b6-cz766   Ready    <none>                 49d   v1.20.9+vmware.1
gc-workers-wrknn-f675446b6-f6zqs   Ready    <none>                 49d   v1.20.9+vmware.1
gc-workers-wrknn-f675446b6-rsf6n   Ready    <none>                 49d   v1.20.9+vmware.1

% KUBECONFIG=gc.kubeconfig kg nodes -o wide
NAME                               STATUS   ROLES                  AGE   VERSION            INTERNAL-IP     EXTERNAL-IP   OS-IMAGE                 KERNEL-VERSION       CONTAINER-RUNTIME
gc-control-plane-pwngg             Ready    control-plane,master   49d   v1.20.9+vmware.1   172.29.21.194   <none>        VMware Photon OS/Linux   4.19.191-4.ph3-esx   containerd://1.4.6
gc-workers-wrknn-f675446b6-cz766   Ready    <none>                 49d   v1.20.9+vmware.1   172.29.21.195   <none>        VMware Photon OS/Linux   4.19.191-4.ph3-esx   containerd://1.4.6
gc-workers-wrknn-f675446b6-f6zqs   Ready    <none>                 49d   v1.20.9+vmware.1   172.29.21.196   <none>        VMware Photon OS/Linux   4.19.191-4.ph3-esx   containerd://1.4.6
gc-workers-wrknn-f675446b6-rsf6n   Ready    <none>                 49d   v1.20.9+vmware.1   172.29.21.197   <none>        VMware Photon OS/Linux   4.19.191-4.ph3-esx   containerd://1.4.6

01 Create a namespace

% KUBECONFIG=gc.kubeconfig k create ns webserver
namespace/webserver created

% KUBECONFIG=gc.kubeconfig kg ns                
NAME                           STATUS   AGE
default                        Active   48d
kube-node-lease                Active   48d
kube-public                    Active   48d
kube-system                    Active   48d
vmware-system-auth             Active   48d
vmware-system-cloud-provider   Active   48d
vmware-system-csi              Active   48d
webserver                      Active   10s

02 Deploy nginx application

Following is the nginx-deployment.yaml spec to deploy nginx application:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: my-nginx
spec:
  selector:
    matchLabels:
      run: my-nginx
  replicas: 2
  template:
    metadata:
      labels:
        run: my-nginx
    spec:
      containers:
      - name: my-nginx
        image: nginx
        ports:
        - containerPort: 80

You can apply the yaml file as below:

% KUBECONFIG=gc.kubeconfig k apply -f nginx-deployment.yaml -n webserver
deployment.apps/my-nginx created

% KUBECONFIG=gc.kubeconfig kg deploy -n webserver                     
NAME       READY   UP-TO-DATE   AVAILABLE   AGE
my-nginx   0/2     0            0           3m3s

% KUBECONFIG=gc.kubeconfig kg events -n webserver
LAST SEEN   TYPE      REASON              OBJECT                           MESSAGE
26s         Warning   FailedCreate        replicaset/my-nginx-74d7c6cb98   Error creating: pods "my-nginx-74d7c6cb98-" is forbidden: PodSecurityPolicy: unable to admit pod: []
3m10s       Normal    ScalingReplicaSet   deployment/my-nginx              Scaled up replica set my-nginx-74d7c6cb98 to 2

You can see that the pods failed to get created due to PodSecurityPolicy. Following is the psp.yaml spec to create ClusterRole and ClusterRoleBinding.

apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: psp:privileged
rules:
- apiGroups: ['policy']
  resources: ['podsecuritypolicies']
  verbs:     ['use']
  resourceNames:
  - vmware-system-privileged
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: all:psp:privileged
roleRef:
  kind: ClusterRole
  name: psp:privileged
  apiGroup: rbac.authorization.k8s.io
subjects:
- kind: Group
  name: system:serviceaccounts
  apiGroup: rbac.authorization.k8s.io

Apply the yaml file as shown below:

% KUBECONFIG=gc.kubeconfig k apply -f psp.yaml
clusterrole.rbac.authorization.k8s.io/psp:privileged created
clusterrolebinding.rbac.authorization.k8s.io/all:psp:privileged created

Now, in few minutes you can see the deployment will get successful and two nginx pods will get deployed in the webserver namespace.

% KUBECONFIG=gc.kubeconfig kg deploy -n webserver
NAME       READY   UP-TO-DATE   AVAILABLE   AGE
my-nginx   2/2     2            2           80m

% KUBECONFIG=gc.kubeconfig kg pods -n webserver -o wide
NAME                        READY   STATUS    RESTARTS   AGE   IP                NODE                               NOMINATED NODE   READINESS GATES
my-nginx-74d7c6cb98-lzghr   1/1     Running   0          67m   192.168.213.132   gc-workers-wrknn-f675446b6-rsf6n   <none>           <none>
my-nginx-74d7c6cb98-s59dt   1/1     Running   0          67m   192.168.67.196    gc-workers-wrknn-f675446b6-f6zqs   <none>           <none>
 

03 Access the application

You can access the application in many ways depending on the usecase.

---Port-forward---

% KUBECONFIG=gc.kubeconfig kubectl port-forward deployment/my-nginx -n webserver 8080:80
Forwarding from 127.0.0.1:8080 -> 80
Forwarding from [::1]:8080 -> 80
Handling connection for 8080

The deployment is port-forwarded now. If you open another terminal and do curl localhost:8080, you can see the nginx webpage.

% curl localhost:8080
<!DOCTYPE html>
<html>
<head>
<title>Welcome to nginx!</title>
<style>
html { color-scheme: light dark; }
body { width: 35em; margin: 0 auto;
font-family: Tahoma, Verdana, Arial, sans-serif; }
</style>
</head>
<body>
<h1>Welcome to nginx!</h1>
<p>If you see this page, the nginx web server is successfully installed and
working. Further configuration is required.</p>

<p>For online documentation and support please refer to
<a href="http://nginx.org/">nginx.org</a>.<br/>
Commercial support is available at
<a href="http://nginx.com/">nginx.com</a>.</p>

<p><em>Thank you for using nginx.</em></p>
</body>
</html>

You can also open a web browser with http://localhost:8080/ and you will get the same nginx webpage. Well port-forwarding is fine in a local dev test scenario, but you might not want to do it in a production setup. You will need to create a service that connects the application and to access it. 

Services

There are 3 types of services in Kubernetes.

  1. NodePort: Similar to port forwarding where a port on the worker node will be forwarded to the target port of the pod where the application is running.
  2. ClusterIP: This is useful if you want to access the application from within the cluster.
  3. LoadBalancer: This is used to provide access to external users. In my case, NSX-T will be providing this access.

---Service NodePort---

Following is the yaml spec file for service of type nodeport:

% cat nginx-service-np.yaml
apiVersion: v1
kind: Service
metadata:
  name: my-nginx
  labels:
    run: my-nginx
spec:
  type: NodePort
  ports:
  - targetPort: 80
    port: 80
    protocol: TCP
  selector:
    run: my-ngin
x

Apply the above yaml file.

% KUBECONFIG=gc.kubeconfig k apply -f nginx-service-np.yaml -n webserver
service/my-nginx created 

% KUBECONFIG=gc.kubeconfig kg svc -n webserver               
NAME       TYPE       CLUSTER-IP       EXTERNAL-IP   PORT(S)        AGE
my-nginx   NodePort   10.111.182.155   <none>        80:30741/TCP   4s

% KUBECONFIG=gc.kubeconfig kg ep -n webserver               
NAME       ENDPOINTS                              AGE
my-nginx   192.168.213.132:80,192.168.67.196:80   32m

As you can see, a service (my-nginx) of type NodePort is created. And, now the application should be accessible on port 30741 of any worker node. To verify it, first we need connectivity to the worker node IP. For connecting to worker nodes, we need to have a jumpbox pod deployed on the supervisor namespace. Once we have a jumpbox pod deployed on the sv namespace, we can ssh to TKC nodes from the jumpbox pod. You can follow my previous post to see how to create a jumpbox pod. Here is the link to VMware documentation for how to SSH to TKC nodes.

% KUBECONFIG=sv.kubeconfig k exec -it jumpbox -- sh
sh-4.4#     
sh-4.4# curl 172.29.21.197:30741
<!DOCTYPE html>
<html>
<head>
<title>Welcome to nginx!</title>
<style>
html { color-scheme: light dark; }
body { width: 35em; margin: 0 auto;
font-family: Tahoma, Verdana, Arial, sans-serif; }
</style>
</head>
<body>
<h1>Welcome to nginx!</h1>
<p>If you see this page, the nginx web server is successfully installed and
working. Further configuration is required.</p>

<p>For online documentation and support please refer to
<a href="http://nginx.org/">nginx.org</a>.<br/>
Commercial support is available at
<a href="http://nginx.com/">nginx.com</a>.</p>

<p><em>Thank you for using nginx.</em></p>
</body>
</html>
sh-4.4#

---Service ClusterIP---

Service of type ClusterIP will be accessible within the TKC. So, I will need to deploy a jumpbox pod/ test pod within the TKC and connect from there. First let me edit the svc my-nginx from NodePort to type ClusterIP.

% KUBECONFIG=gc.kubeconfig k edit svc my-nginx -n webserver
service/my-nginx edited

% KUBECONFIG=gc.kubeconfig kg svc -n webserver             
NAME       TYPE        CLUSTER-IP       EXTERNAL-IP   PORT(S)   AGE
my-nginx   ClusterIP   10.111.182.155   <none>        80/TCP    39m

I have already deploy a pod inside the TKC. As you can see, dnsutils is the pod that is deployed in the default namespace. We will connect to this pod and from there we can curl to the Cluster-IP of my-nginx service.

% KUBECONFIG=gc.kubeconfig kg pods                  
NAME       READY   STATUS    RESTARTS   AGE
dnsutils   1/1     Running   1          105m

% KUBECONFIG=gc.kubeconfig k exec -it dnsutils -- sh
#
# curl 10.111.182.155:80
<!DOCTYPE html>
<html>
<head>
<title>Welcome to nginx!</title>
<style>
html { color-scheme: light dark; }
body { width: 35em; margin: 0 auto;
font-family: Tahoma, Verdana, Arial, sans-serif; }
</style>
</head>
<body>
<h1>Welcome to nginx!</h1>
<p>If you see this page, the nginx web server is successfully installed and
working. Further configuration is required.</p>

<p>For online documentation and support please refer to
<a href="http://nginx.org/">nginx.org</a>.<br/>
Commercial support is available at
<a href="http://nginx.com/">nginx.com</a>.</p>

<p><em>Thank you for using nginx.</em></p>
</body>
</html>
#

Note: This service of type ClusterIP can be accessed only within the TKC, and not externally!

---Service LoadBalancer---

This is the way to expose your service to external users. In this case NSX-T will provide the external IP which will then internally forwarded to nginx pods through the my-nginx service.

I have edited the service my-nginx from type ClusterIP to LoadBalancer.

% KUBECONFIG=gc.kubeconfig k edit svc my-nginx -n webserver
service/my-nginx edited

% KUBECONFIG=gc.kubeconfig kg svc -n webserver             
NAME       TYPE           CLUSTER-IP       EXTERNAL-IP   PORT(S)        AGE
my-nginx   LoadBalancer   10.111.182.155   <pending>     80:32398/TCP   56m

% KUBECONFIG=gc.kubeconfig kg svc -n webserver
NAME       TYPE           CLUSTER-IP       EXTERNAL-IP      PORT(S)        AGE
my-nginx   LoadBalancer   10.111.182.155   10.186.148.170   80:32398/TCP   56m

You can see that now the service has got an external ip. And, the end points of the service are as shown below, which is basically the nginx pod IPs.

% KUBECONFIG=gc.kubeconfig kg ep -n webserver
NAME       ENDPOINTS                              AGE
my-nginx   192.168.213.132:80,192.168.67.196:80   58m

% curl 10.186.148.170
<!DOCTYPE html>
<html>
<head>
<title>Welcome to nginx!</title>
<style>
html { color-scheme: light dark; }
body { width: 35em; margin: 0 auto;
font-family: Tahoma, Verdana, Arial, sans-serif; }
</style>
</head>
<body>
<h1>Welcome to nginx!</h1>
<p>If you see this page, the nginx web server is successfully installed and
working. Further configuration is required.</p>

<p>For online documentation and support please refer to
<a href="http://nginx.org/">nginx.org</a>.<br/>
Commercial support is available at
<a href="http://nginx.com/">nginx.com</a>.</p>

<p><em>Thank you for using nginx.</em></p>
</body>
</html>

I could also use the external IP 10.186.148.170 in a web browser to access the nginx webpage.

Now lets have a look at what is in the supervisor namespace. This TKC is created under a supervisor namespace "vineetha-test04-deploy".

% kubectl get svc -n vineetha-test04-deploy
NAME                       TYPE           CLUSTER-IP      EXTERNAL-IP      PORT(S)          AGE
gc-ba320a1e3e04259514411   LoadBalancer   172.28.5.217    10.186.148.170   80:31143/TCP     40h
gc-control-plane-service   LoadBalancer   172.28.9.37     10.186.149.120   6443:31639/TCP   51d

% kubectl get ep -n vineetha-test04-deploy  
NAME                       ENDPOINTS                                                     AGE
gc-ba320a1e3e04259514411   172.29.21.195:32398,172.29.21.196:32398,172.29.21.197:32398   40h
gc-control-plane-service   172.29.21.194:6443                                            51d

So what you are seeing is, for a service of type loadbalancer created inside the TKC, a service of type loadbalancer (gc-ba320a1e3e04259514411) will be automatically created under the supervisor namespace, and the its endpoints are the IP address of TKC worker nodes.


On the NSX-T side you can see the LB for my supervisor namespace, virtual servers in it, and server pool members in the virtual server.

I hope it was useful. Cheers!