anaya grewal

1660131046

8 Employee Monitoring Tools to Help You Avoid Micromanagement

In today’s workplace, the worst thing you can be called is micromanager. Micromanagement makes employees feel powerless and unappreciated, which leads to lower productivity, higher turnover rates, and demotivated employees who care less about what they’re doing and why they’re doing it. Monitoring employee activity can help you avoid micromanagement while keeping your staff motivated and engaged in their work. Here are some monitoring tools that can help you keep track of your staff without micromanaging them.

 

Workstatus

Workstatus is an employee monitoring software that allows you to see where your employees are at all times. This can help you avoid micromanaging by knowing exactly where they are and what they are doing. The software also allows you to set up alerts so you can be notified if an employee is late or leaves early.

Time Doctor

GPS Time Tracker is an employee monitoring software that allows you to see how much time your employees are spending on each task. This can help you avoid micromanaging by letting you know if they are working on the tasks you've assigned them. Plus, it can also help you identify areas where your employees may need more training.

Also Read: Top 8 Employee Monitoring Tools to Avoid Micromanagement at the Workplace

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8 Employee Monitoring Tools to Help You Avoid Micromanagement
Carmen  Grimes

Carmen Grimes

1598959140

How to Monitor Third Party API Integrations

Many enterprises and SaaS companies depend on a variety of external API integrations in order to build an awesome customer experience. Some integrations may outsource certain business functionality such as handling payments or search to companies like Stripe and Algolia. You may have integrated other partners which expand the functionality of your product offering, For example, if you want to add real-time alerts to an analytics tool, you might want to integrate the PagerDuty and Slack APIs into your application.

If you’re like most companies though, you’ll soon realize you’re integrating hundreds of different vendors and partners into your app. Any one of them could have performance or functional issues impacting your customer experience. Worst yet, the reliability of an integration may be less visible than your own APIs and backend. If the login functionality is broken, you’ll have many customers complaining they cannot log into your website. However, if your Slack integration is broken, only the customers who added Slack to their account will be impacted. On top of that, since the integration is asynchronous, your customers may not realize the integration is broken until after a few days when they haven’t received any alerts for some time.

How do you ensure your API integrations are reliable and high performing? After all, if you’re selling a feature real-time alerting, you’re alerts better well be real-time and have at least once guaranteed delivery. Dropping alerts because your Slack or PagerDuty integration is unacceptable from a customer experience perspective.

What to monitor

Latency

Specific API integrations that have an exceedingly high latency could be a signal that your integration is about to fail. Maybe your pagination scheme is incorrect or the vendor has not indexed your data in the best way for you to efficiently query.

Latency best practices

Average latency only tells you half the story. An API that consistently takes one second to complete is usually better than an API with high variance. For example if an API only takes 30 milliseconds on average, but 1 out of 10 API calls take up to five seconds, then you have high variance in your customer experience. This is makes it much harder to track down bugs and harder to handle in your customer experience. This is why 90th percentile and 95th percentiles are important to look at.

Reliability

Reliability is a key metric to monitor especially since your integrating APIs that you don’t have control over. What percent of API calls are failing? In order to track reliability, you should have a rigid definition on what constitutes a failure.

Reliability best practices

While any API call that has a response status code in the 4xx or 5xx family may be considered an error, you might have specific business cases where the API appears to successfully complete yet the API call should still be considered a failure. For example, a data API integration that returns no matches or no content consistently could be considered failing even though the status code is always 200 OK. Another API could be returning bogus or incomplete data. Data validation is critical for measuring where the data returned is correct and up to date.

Not every API provider and integration partner follows suggested status code mapping

Availability

While reliability is specific to errors and functional correctness, availability and uptime is a pure infrastructure metric that measures how often a service has an outage, even if temporary. Availability is usually measured as a percentage of uptime per year or number of 9’s.

AVAILABILITY %DOWNTIME PER YEARDOWNTIME PER MONTHDOWNTIME PER WEEKDOWNTIME PER DAY90% (“one nine”)36.53 days73.05 hours16.80 hours2.40 hours99% (“two nines”)3.65 days7.31 hours1.68 hours14.40 minutes99.9% (“three nines”)8.77 hours43.83 minutes10.08 minutes1.44 minutes99.99% (“four nines”)52.60 minutes4.38 minutes1.01 minutes8.64 seconds99.999% (“five nines”)5.26 minutes26.30 seconds6.05 seconds864.00 milliseconds99.9999% (“six nines”)31.56 seconds2.63 seconds604.80 milliseconds86.40 milliseconds99.99999% (“seven nines”)3.16 seconds262.98 milliseconds60.48 milliseconds8.64 milliseconds99.999999% (“eight nines”)315.58 milliseconds26.30 milliseconds6.05 milliseconds864.00 microseconds99.9999999% (“nine nines”)31.56 milliseconds2.63 milliseconds604.80 microseconds86.40 microseconds

Usage

Many API providers are priced on API usage. Even if the API is free, they most likely have some sort of rate limiting implemented on the API to ensure bad actors are not starving out good clients. This means tracking your API usage with each integration partner is critical to understand when your current usage is close to the plan limits or their rate limits.

Usage best practices

It’s recommended to tie usage back to your end-users even if the API integration is quite downstream from your customer experience. This enables measuring the direct ROI of specific integrations and finding trends. For example, let’s say your product is a CRM, and you are paying Clearbit $199 dollars a month to enrich up to 2,500 companies. That is a direct cost you have and is tied to your customer’s usage. If you have a free tier and they are using the most of your Clearbit quota, you may want to reconsider your pricing strategy. Potentially, Clearbit enrichment should be on the paid tiers only to reduce your own cost.

How to monitor API integrations

Monitoring API integrations seems like the correct remedy to stay on top of these issues. However, traditional Application Performance Monitoring (APM) tools like New Relic and AppDynamics focus more on monitoring the health of your own websites and infrastructure. This includes infrastructure metrics like memory usage and requests per minute along with application level health such as appdex scores and latency. Of course, if you’re consuming an API that’s running in someone else’s infrastructure, you can’t just ask your third-party providers to install an APM agent that you have access to. This means you need a way to monitor the third-party APIs indirectly or via some other instrumentation methodology.

#monitoring #api integration #api monitoring #monitoring and alerting #monitoring strategies #monitoring tools #api integrations #monitoring microservices

I am Developer

1617089618

Laravel 8 Tutorial for Beginners

Hello everyone! I just updated this tutorial for Laravel 8. In this tutorial, we’ll go through the basics of the Laravel framework by building a simple blogging system. Note that this tutorial is only for beginners who are interested in web development but don’t know where to start. Check it out if you are interested: Laravel Tutorial For Beginners

Laravel is a very powerful framework that follows the MVC structure. It is designed for web developers who need a simple, elegant yet powerful toolkit to build a fully-featured website.

Recommended:-Laravel Try Catch

#laravel 8 tutorial #laravel 8 tutorial crud #laravel 8 tutorial point #laravel 8 auth tutorial #laravel 8 project example #laravel 8 tutorial for beginners

I am Developer

1599536794

Laravel 8 New Features | Release Notes - Tuts Make

In this post, i will show you what’s new in laravel 8 version.

#What’s new in Laravel 8?

  • 1 - Change Path Of Default Models Directory
  • 2 - Removed Controllers Namespace Prefix
  • 3 - Enhancements on php artisan serve
  • 4 - Enhanced Rate Limiting
  • 5 - Enhanced on Route Caching
  • 6 - Update on Pagination Design
  • 8 - Dynamic Blade Componenets
  • 7 - Update Syntax for Closure Based Event Listeners
  • 8 - Queueable Model Event Listeners
  • 9 - Maintenance mode: secret access
  • 10 - Maintenance mode: pre-rendered page
  • 11 - Queued job batching
  • 12 - Queue backoff()
  • 13 - Laravel Factory

https://www.tutsmake.com/laravel-8-new-features-release-notes/

#laravel 8 features #laravel 8 release date #laravel 8 tutorial #news - laravel 8 new features #what's new in laravel 8 #laravel 8 release notes

Elian  Harber

Elian Harber

1645610460

Nitpick: Enforce The Same Settings on Multiple Projects

Nitpick

Command-line tool and flake8 plugin to enforce the same settings across multiple language-independent projects.

Useful if you maintain multiple projects and are tired of copying/pasting the same INI/TOML/YAML/JSON keys and values over and over, in all of them.

The CLI now has a nitpick fix command that modifies configuration files directly (pretty much like black and isort do with Python files). See the CLI docs for more info.

Many more features are planned for the future, check the roadmap.

The style file

A "Nitpick code style" is a TOML file with the settings that should be present in config files from other tools.

Example of a style:

["pyproject.toml".tool.black]
line-length = 120

["pyproject.toml".tool.poetry.dev-dependencies]
pylint = "*"

["setup.cfg".flake8]
ignore = "D107,D202,D203,D401"
max-line-length = 120
inline-quotes = "double"

["setup.cfg".isort]
line_length = 120
multi_line_output = 3
include_trailing_comma = true
force_grid_wrap = 0
combine_as_imports = true

This style will assert that:

Supported file types

These are the file types currently handled by Nitpick.

  • Some files are only being checked and have to be modified manually;
  • Some files can already be fixed automatically (with the nitpick fix command);
  • Others are still under construction; the ticket numbers are shown in the table (upvote the ticket with 👍🏻 if you would like to prioritise development).

Implemented

File typenitpick checknitpick fix
Any INI file
Any JSON file
Any plain text file
Any TOML file
Any YAML file
.editorconfig
.pylintrc
setup.cfg

Planned

File typenitpick checknitpick fix
Any Markdown file#280 🚧
Any Terraform file#318 🚧
Dockerfile#272 🚧#272 🚧
.dockerignore#8 🚧#8 🚧
.gitignore#8 🚧#8 🚧
Jenkinsfile#278 🚧
Makefile#277 🚧

Style Library (Presets)

Nitpick has a builtin library of style presets, shipped as Python resources.

This library contains building blocks for your your custom style. Just choose styles from the table below and create your own style, like LEGO.

Read how to:

any

Style URLDescription
py://nitpick/resources/any/codeclimateCodeClimate
py://nitpick/resources/any/commitizenCommitizen (Python)
py://nitpick/resources/any/commitlintcommitlint
py://nitpick/resources/any/editorconfigEditorConfig
py://nitpick/resources/any/git-legalGit.legal - CodeClimate Community Edition
py://nitpick/resources/any/markdownlintMarkdown lint
py://nitpick/resources/any/pre-commit-hookspre-commit hooks for any project
py://nitpick/resources/any/prettierPrettier

javascript

Style URLDescription
py://nitpick/resources/javascript/package-jsonpackage.json

kotlin

Style URLDescription
py://nitpick/resources/kotlin/ktlintktlint

presets

Style URLDescription
py://nitpick/resources/presets/nitpickDefault style file for Nitpick

proto

Style URLDescription
py://nitpick/resources/proto/protolintprotolint (Protobuf linter)

python

Style URLDescription
py://nitpick/resources/python/310Python 3.10
py://nitpick/resources/python/37Python 3.7
py://nitpick/resources/python/38Python 3.8
py://nitpick/resources/python/39Python 3.9
py://nitpick/resources/python/absentFiles that should not exist
py://nitpick/resources/python/autoflakeautoflake
py://nitpick/resources/python/banditBandit
py://nitpick/resources/python/blackBlack
py://nitpick/resources/python/flake8Flake8
py://nitpick/resources/python/github-workflowGitHub Workflow for Python
py://nitpick/resources/python/ipythonIPython
py://nitpick/resources/python/isortisort
py://nitpick/resources/python/mypyMypy
py://nitpick/resources/python/poetry-editablePoetry (editable projects; PEP 600 support)
py://nitpick/resources/python/poetryPoetry
py://nitpick/resources/python/pre-commit-hookspre-commit hooks for Python projects
py://nitpick/resources/python/pylintPylint
py://nitpick/resources/python/radonRadon
py://nitpick/resources/python/readthedocsRead the Docs
py://nitpick/resources/python/sonar-pythonSonarQube Python plugin
py://nitpick/resources/python/stableCurrent stable Python version
py://nitpick/resources/python/toxtox

shell

Style URLDescription
py://nitpick/resources/shell/bashatebashate (code style for Bash)
py://nitpick/resources/shell/shellcheckShellCheck (static analysis for shell scripts)
py://nitpick/resources/shell/shfmtshfmt (shell script formatter)

Quickstart

Install

Install in an isolated global environment with pipx:

# Latest PyPI release
pipx install nitpick

# Development branch from GitHub
pipx install git+https://github.com/andreoliwa/nitpick

On macOS/Linux, install with Homebrew:

# Latest PyPI release
brew install andreoliwa/formulae/nitpick

# Development branch from GitHub
brew install andreoliwa/formulae/nitpick --HEAD

On Arch Linux, install with yay:

yay -Syu nitpick

Add to your project with Poetry:

poetry add --dev nitpick

Or install it with pip:

pip install -U nitpick

Run

To fix and modify your files directly:

nitpick fix

To check for errors only:

nitpick check

Nitpick is also a flake8 plugin, so you can run this on a project with at least one Python (.py) file:

flake8 .

Nitpick will download and use the opinionated default style file.

You can use it as a template to configure your own style.

Run as a pre-commit hook

If you use pre-commit on your project, add this to the .pre-commit-config.yaml in your repository:

repos:
  - repo: https://github.com/andreoliwa/nitpick
    rev: v0.31.0
    hooks:
      - id: nitpick

There are 3 available hook IDs:

  • nitpick and nitpick-fix both run the nitpick fix command;
  • nitpick-check runs nitpick check.

If you want to run Nitpick as a flake8 plugin instead:

repos:
  - repo: https://github.com/PyCQA/flake8
    rev: 4.0.1
    hooks:
      - id: flake8
        additional_dependencies: [nitpick]

More information

Nitpick is being used by projects such as:

For more details on styles and which configuration files are currently supported, see the full documentation.

Contributing

Your help is very much appreciated.

There are many possibilities for new features in this project, and not enough time or hands to work on them.

If you want to contribute with the project, set up your development environment following the steps on the contribution guidelines and send your pull request.

Author: Andreoliwa
Source Code: https://github.com/andreoliwa/nitpick 
License: MIT License

#python 

Christa  Stehr

Christa Stehr

1602964260

50+ Useful Kubernetes Tools for 2020 - Part 2

Introduction

Last year, we provided a list of Kubernetes tools that proved so popular we have decided to curate another list of some useful additions for working with the platform—among which are many tools that we personally use here at Caylent. Check out the original tools list here in case you missed it.

According to a recent survey done by Stackrox, the dominance Kubernetes enjoys in the market continues to be reinforced, with 86% of respondents using it for container orchestration.

(State of Kubernetes and Container Security, 2020)

And as you can see below, more and more companies are jumping into containerization for their apps. If you’re among them, here are some tools to aid you going forward as Kubernetes continues its rapid growth.

(State of Kubernetes and Container Security, 2020)

#blog #tools #amazon elastic kubernetes service #application security #aws kms #botkube #caylent #cli #container monitoring #container orchestration tools #container security #containers #continuous delivery #continuous deployment #continuous integration #contour #developers #development #developments #draft #eksctl #firewall #gcp #github #harbor #helm #helm charts #helm-2to3 #helm-aws-secret-plugin #helm-docs #helm-operator-get-started #helm-secrets #iam #json #k-rail #k3s #k3sup #k8s #keel.sh #keycloak #kiali #kiam #klum #knative #krew #ksniff #kube #kube-prod-runtime #kube-ps1 #kube-scan #kube-state-metrics #kube2iam #kubeapps #kubebuilder #kubeconfig #kubectl #kubectl-aws-secrets #kubefwd #kubernetes #kubernetes command line tool #kubernetes configuration #kubernetes deployment #kubernetes in development #kubernetes in production #kubernetes ingress #kubernetes interfaces #kubernetes monitoring #kubernetes networking #kubernetes observability #kubernetes plugins #kubernetes secrets #kubernetes security #kubernetes security best practices #kubernetes security vendors #kubernetes service discovery #kubernetic #kubesec #kubeterminal #kubeval #kudo #kuma #microsoft azure key vault #mozilla sops #octant #octarine #open source #palo alto kubernetes security #permission-manager #pgp #rafay #rakess #rancher #rook #secrets operations #serverless function #service mesh #shell-operator #snyk #snyk container #sonobuoy #strongdm #tcpdump #tenkai #testing #tigera #tilt #vert.x #wireshark #yaml