Preface accelerate onboarding of new hires and transition. follow-on publications. other ideas the STARS framework, transition traps, the importance of securing early wins the fuzzy front-end distinction between the organizational change challenge and the personal adaptive challenge in assessing the transition risk confronting new leaders. other publications: Shaping the Game, 2006 The First 90 Days in Government

It is a big topic to setup kubernetes correctly. I will keep updating this when I find something new or missed in this.

In the past I learnt a lot of kubernetes, however there is no much information about kubelet or not deep enough. I couldn’t answer the questions about kubelet correctly in an interview. Here I put all the information I collected from the internet here for my references. kubelet component architecture how does kubelet work Container Lifecycle Management Through the CRI kubelet, CRI and CNI sequence diagram kubelet, CRI and CNI interaction diagram The process of creating a pod Handler The work of podWorkers syncPod kubelet Runtime Creating a sandbox for a pod References: https://www.

Components Description Metrics Scaler Metrics Server Metrics Server collects resource metrics from Kubelets and exposes them in Kubernetes apiserver through Metrics API for use by Horizontal Pod Autoscaler and Vertical Pod Autoscaler. Metrics API can also be accessed by kubectl top, making it easier to debug autoscaling pipelines. Metrics Server is not meant for non-autoscaling purposes CPU/Memory

Chapter 1: Management 101 what to expect from a manager 1:1 meeting, every few weeks with direct/line manager; two purposes create human connections status update: regular feedback and workspace guidance: frequest, fast, many wasy quick feedbackup loop is more efficient public praise, private critism feedback type: code, presentation code, content, layout, style …​ role

One of my past projects is based neural network in 2020. The solution is quite simple: put the feature vectors into postgresql database create distanced based index I adopted the model and algrithm from face_recognition, and my team trained on sample faces from our internal system to improve the accuracy to reduce the human involvement and save costs. During development, we found that there is a limit of postgres: CUBE_MAX_DIM, my team customize the build of postgreql to work around the limit.

The full article "How to Build a Strong Career in Tech" from Thiago Ghisi is at https://www.linkedin.com/pulse/how-build-strong-career-tech-thiago-ghisi/. I want to put the gist here for my reference. How does a Successful Career in Tech look like? Definition of a Successful Career The candidate resume metadata doesn’t often lie resume metadata: Impact of their ideas on a large number of people directly or indirectly. Success = Impact & Influence!

DCF Myth 1: If you have a D(discount rate) and a CF (cash flow), you have a DCF! Consistency Tests for DCF Hall of shame DCF checklist DCF Myth 2: A DCF is an exercise in modeling and number crunching! Connecting Stories to Numbers: The Process Tie to the life cycle: The Investor Angle Tie to the Life Cycle: Implications for managers DCF Myth 1: If you have a D(discount rate) and a CF (cash flow), you have a DCF!

Private Internet Access Desktop Client window dev environemnt https://www.qt.io/download-qt-installer How to find the Qt5 CMake module on Windows [1] 1. https://github.com/pia-foss/desktop