Open source load testing tool

https://k6.io/blog/comparing-best-open-source-load-testing-tools

Performance testing is a type of testing for determining the speed of a computer, network or device. It checks the performance of the components of a system by passing different parameters in different load scenarios.

Load testing is the process that simulates actual user load on any application or website. It checks how the application behaves during normal and high loads. This type of testing is applied when a development project nears to its completion.

Stress testing is a type of testing that determines the stability and robustness of the system. It is a non-functional testing technique. This testing technique uses auto-generated simulation model that checks all the hypothetical scenarios.

Conclusion:

• Performance testing is a testing method used to determine the speed of a computer, network or devices.
• Load testing simulates real-world load on any application or website.
• Stress testing determines the stability and robustness of the system
• Performance testing helps to check the performance of website servers, databases, networks.
• Load testing is used for the Client/Server, Web-based applications.
• Stress testing is done unexpected test traffic of your website.

https://www.guru99.com/performance-vs-load-vs-stress-testing.html

NFS share on OS X Sierra Version 10.12.6 (16G2128) MacBook Pro (15-inch, 2017)

https://support.apple.com/en-us/HT202243

Create NFS share on OS X for NFS client connection

• mkdir <path to NFS share>
• chown -R nobody:nobody <path to NFS share>
• sudo nano /etc/exports, and add line:

<absolute path to NFS share> -maproot=nobody --alldirs ##allow client to mount at any point within NFS file system

• sudo chmod 640 /etc/exports
• nfsd status (if not running: nfsd enable && nfsd start)
• showmount -e

Mount NFS share from OSX command line:

• mkdir /mnt
• sudo mount -o hard,nolock <NFS share path> /mnt
• mount | grep nfs
• ls /mnt

Kubernetes Metrics Server on Raspberry Pi 3 Model B (ARM v7)

Metrics Server exposes core Kubernetes metrics via metrics API. Without Metrics Server,Horizontal Pod Autoscale (HPA) and kubectl top command will not work.

Github did not provide deployment yaml file for Raspberry Pi cluster, so I have to change original deploy/kubernetes/metrics-server-deployment.yaml

1. replace amd64 with arm (under containers and nodeSelectors section)

2. modify args into: (two extra lines)

        args:

          - --cert-dir=/tmp

          - --secure-port=4443

          - --kubelet-insecure-tls ###get ride error: http: TLS handshake error

          - --kubelet-preferred-address-types=InternalIP ### unable to fully scrape metrics from source kubelet

3. deploy Metrics Server and all the rest manifest yaml files in the same directory , and wait for a while to get rid off error:unable to fetch node metrics for node