Burnout metrics

 

Maslach Burnout Inventory™ (MBI)

https://www.mindgarden.com/117-maslach-burnout-inventory-mbi

Job Diagnostic Survey (JDS)

https://scales.arabpsychology.com/s/job-diagnostic-survey-jds/

How to measure work engagement / The UWES Questionnaire

https://www.cbs.dk/files/cbs.dk/executive_summary_6.pdf

(Summary of Schaufeli B. W. & Bakker, B. A. (2003): Occupational Health Psychology Unit. Utrecht

University) 

Hc-analytics@cbs.dk

www.cbs.dk/hc-analytics

LinkedIn: Human Capital Analytics Group

from : https://www.betterup.com/blog/signs-of-burnout-at-work

• Community: In the book The Burnout Fix, Dr. Jacinta Jimenez details the importance of a “psychologically safe” environment — that is, one that “empowers employees to share their selves and their ideas without fear of negative consequences.” If you feel supported, connected, and unafraid to show up authentically at work, you are far less likely to experience burnout.

with great software comes great devopsability"

"with great software comes great devopsability"

cm, july 2023 :-D 

Kubernetes Ingress Controllers (table by learn k8s research)

 https://docs.google.com/spreadsheets/d/191WWNpjJ2za6-nbG4ZoUMXMpUK8KlCIosvQB0f-oq3k/edit#gid=907731238

The Not Rocket Science Rule Of Software Engineering: automatically maintain a repository of code that always passes all the tests

technicalities: "not rocket science" (the story of monotone and bors)

https://graydon2.dreamwidth.org/1597.html : 

The Not Rocket Science Rule Of Software Engineering:

automatically maintain a repository of code that always passes all the tests

parse json in terraform

 https://www.reddit.com/r/Terraform/comments/c07dgc/using_external_jsons_as_data_source/

    data "http" "example" {
  url = "..."
}

locals {
  example_response = jsondecode(data.http.example.body)
}

From there you can manipulate that data structure as you need. If you want to produce a map of lists then probably your next step would be to use two nested for expressions. I’m just guessing what you want the values in those lists to look like, but here’s a starting point:

    locals {
  example_rules = {
    for k, m in local.example_response : k => [
      for k, v in m : {
        key   = k
        value = v
      }
    ]
  }
}

Quantum computing art (& fractals)

 

Visualizing Quantum Computing using fractals

https://github.com/wmazin/Visualizing-Quantum-Computing-using-fractals

Flexible Representation of Quantum Images (FRQI) and Novel Enhanced Quantum Representation (NEQR)

https://qiskit.org/

https://learn.qiskit.org/course/ch-applications/flexible-representation-of-quantum-images-frqi

Exhibition-ready quantum image processing

https://medium.com/qiskit/exhibition-ready-quantum-image-processing-4bb9fa8b52b5

Creating fractal art with qiskit

https://medium.com/qiskit/creating-fractal-art-with-qiskit-df69427026a0

Engineering levels

 

• -  Google levels:

  https://codingrelic.geekhold.com/2018/08/google-software-engineering-levels-and.ht

  ml

• -  Facebook levels:

  https://www.quora.com/Facebook-company/What-is-the-expectation-out-of-each-soft

  ware-engineering-level-at-Facebook

• -  Levels at various other companies: https://www.progression.fyi/

Service Level metrics

•  SLO : Service Level Objective

Common examples of metrics that can be associated with SLOs are disaster recovery time, application availability, live communication response time, first call resolution rate and application maintenance.

• SLI : Service Level Indicator

SLI = [ good event / valid event ] * 100%

request / response : Availability, Latency, Quality

Data Processing : Coverage, Correctness, Freshness, Throughput

• SLA : Service level agreements

usually external metrics (i.e. : end service KO time)

-- 

Appdex : scoring 0 to 1 for user satisfaction

-- source : 

- Blog covering AIOps custom automations inside the Cloud Pak for Watson AIOps -> https://developer.ibm.com/articles/supercharged-aiops-with-custom-automations/
- Blog covering Instana’s new remediation framework -> https://www.instana.com/blog/tech-preview-take-action-from-within-instana-using-our-action-framework/
- Demo of Instana’s new remediation framework’s integration with PagerDuty’s Process Automation -> https://www.youtube.com/watch?v=t441dhv7Vtw

And you can connect with Arthur on LinkedIn at: https://www.linkedin.com/in/ademagalhaes

(quantum computing) Examples of code for a "Bell state" : IBM quantum composer vs. OpenQASM vs. Qiskit

 

• https://quantum-computing.ibm.com/composer/files/new "Quantum Composer" IDE to build Q-progs : "Composer has a customizable set of tools that allow you to build, visualize, and run quantum circuits on quantum hardware or simulators".
• graphical editor for openQASM  or Qiskit formalisms

Examples of code generated in the step by step tutorial to create a "Bell state"

https://quantum-computing.ibm.com/composer/docs/iqx/example-circuits/bell

Same code, but different languages; done on the Quantum Composer ide following the initial step by step guide.

The Bell test demonstrates that measurements of an entangled state cannot be explained by any local hidden variable theory, and that there must be correlations that are beyond classical.

from: https://quantum-computing.ibm.com/composer/docs/iqx/example-circuits/bell

* Quantum Composer

* OpenQASM

OPENQASM 2.0;

include "qelib1.inc";

qreg q[2];

creg c[2];

h q[0];

cx q[0],q[1];

measure q[0] -> c[0];

measure q[1] -> c[1];

* Qiskit

from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit

from numpy import pi

qreg_q = QuantumRegister(2, 'q')

creg_c = ClassicalRegister(2, 'c')

circuit = QuantumCircuit(qreg_q, creg_c)

circuit.h(qreg_q[0])

circuit.cx(qreg_q[0], qreg_q[1])

circuit.measure(qreg_q[0], creg_c[0])

circuit.measure(qreg_q[1], creg_c[1])

Quantum computing resources

Quantum platforms, libraries, and learning platforms

Qiskit : open source lib

"Qiskit Machine Learning introduces fundamental computational building blocks - such as Quantum Kernels and Quantum Neural Networks - used in different applications, including classification and regression. On the one hand, this design is very easy to use and allows users to rapidly prototype a first model without deep quantum computing knowledge. On the other hand, Qiskit Machine Learning is very flexible, and users can easily extend it to support cutting-edge quantum machine learning research."

• https://qiskit.org/documentation/qc_intro.html quantum computing (QC) in a nutshell
• https://qiskit.org/documentation/machine-learning/ ML on QC 
• https://learn.qiskit.org/course/machine-learning/introduction 
• https://github.com/Qiskit/qiskit-machine-learning Github repo for Qiskit

DELF University quantum program

Long time research center on quantum computing. (sources < TPE 2001)

• https://qutech.nl 
• https://qutech.nl/research-engineering/quantum-computing/  (qu-algo & qu-prog)
• https://qutech.nl/research-engineering/quantum-internet/ (qu-network)
• https://qutech.nl/research-engineering/qubit-research/ (qu-infra)
• https://qutechacademy.nl/online-learning/online-courses/  Massive Online Open Courses (MOOC).

Community

community focused on quantum machine learning

• https://www.pennylane.ai/qml/   QML Quantum machine learning

IBM

• https://quantum-computing.ibm.com/ "IBM offers cloud access to the most advanced quantum computers available. Learn, develop, and run programs with our quantum applications and systems.
• https://quantum-computing.ibm.com/docs/
• https://quantum-computing.ibm.com/composer/files/new "Quantum Composer" IDE to build Q-progs : "Composer has a customizable set of tools that allow you to build, visualize, and run quantum circuits on quantum hardware or simulators".
• graphical editor for openQASM or Qiskit formalisms

source : 

• meetup  Technical Group by IBM, 
• 03 Nov 2022 https://www.meetup.com/technical-group-hosted-by-ibm/events/287144510/ 
• Sean Wagner, IBM Quantum Technical Ambassador