fabiochiu/medium-articles huggingface dataset:
Why You Need Machine Learning For Your Supply Chain Management
Tags: Machine Learning, Supply Chain, Artificial Intelligence, Supply Chain Management, Logistics

Challenges in Logistics and Supply Chain Industry

Here are some difficulties endured by logistics and supply chains that ML and AI can solve:

Inventory management

This is exceedingly significant for supply chain management, as it provides companies to deal with unanticipated scarcity. No supply chain organization would want to break off their company’s manufacture while they open a quest to get another store. Likewise, they wouldn’t want to have oversupply as that leads to losses.

Inventory management in the supply chain is predominantly about balancing setting up the purchase requests to keep the activities going without a hitch while not stockpile the things they don’t need.

Quality and safety

With escalating pressure to hand over commodities on time to maintain the supply chain assembly line running, managing a dual inspection on quality and safety has grown into an enormous challenge for supply chain organizations. It could become a considerable safety threat to undertake substandard parts, not matching quality or safety specifications.

Further, environmental variations, trade conflicts, and economic constraints on the supply chain can quickly turn into issues and dangers that quickly proliferate across the entire supply chain leading to serious complications.

Problems Because of Scarce Resources

We are aware of the issues encountered in the logistics and supply chain due to the shortage of resources. But implementing AI and machine learning in the supply chain and logistics has made an understanding of many facets much simpler.

Algorithms will forecast the demand and supply after examining many factors to set up beforehand planning and stock the products accordingly. Providing fresh insights into different facets of the supply chain, ML has also made the governance of the inventory and team representatives much simpler.

Inept Supplier Relationship Management

The excessive insufficiency of supply chain experts is yet another difficulty confronted by logistics organizations that can make supplier relationship management tiresome and unproductive.

Machine learning and artificial intelligence can provide effective insights into vendor data and can serve supply chain firms in making real-time choices.

Importance of Supply Chain Management

Some of the most prominent corporations are already paying attention to what machine learning can do in the future. Machine learning is already improving the productivity of their supply chains.

Let’s find out how machine learning in supply chain management (SCM) focuses on the complications and what the ongoing applications of this dynamic technology are in supply chain management.

There are many advantages that machine learning brings to supply chain management, including:
New Directions in Supply Chain Management: Talk Takeaways
By: Cgb Insights
Tags: Pandemic, Supply Chain, Strategy, Global, Supply Chain Management

Deirdre Mendez, Director, Center for Global Business at McCombs

Our November 18, our Global Shifts Dialogues series featured two distinguished CGB board members. Mark Mirelez, CEO of aerospace and defense system provider BEI Precision, and medical technology consultant Rene van de Zande discussed the impact of the pandemic on multi-tiered supply chains in heavily-regulated industries. Here are some highlights:

Pandemic-Based Changes in Supply Chains:

Big data analysis of cost saving strategies, strategic sourcing, and streamlining was in place before COVID-19. The pandemic has significantly increased its use for supply assurance and reliability.

A discussion of reshoring that existed prior to the pandemic is now heightened, and will continue as companies try to balance assurance and security issues with the cost of manufacturing at home.

Pandemic-based shortages have increased concern about supply assurance and supply chain vulnerability. These will continue to be top priorities moving forward.

Government and industry collaboration has increased to speed approvals and deliver innovations. While this enhanced collaboration will likely continue, a key challenge will be to speed processes while maintaining standards for safety and effectiveness.

What Will Define Success and Failure:

Supply chain stability means steadily assessing and managing risk. Leaders should monitor data continually to understand their exposure and respond accordingly. Risk assessment must translate into actions that support key suppliers, mitigate sole-source exposure, address transportation challenges, etc.

Companies should leverage innovations in digital communication to trim costs and minimize risk. Rethinking the need for brick-and-mortar facilities, in-person work policies, and travel for meetings can enhance competitiveness.

Leadership should be increasingly dispersed throughout supply chains to access knowledge and creative ideas at every level.
How to Streamline Your Production Planning Processes with SAP PP/DS?
By: Leverx International
Tags: Production Planning, Supply Chain, Supply Chain Management, Manufacturing, Logistics

If your company wants to reach the next level of the production planning performance, SAP Production Planning and Detailed Scheduling (PP/DS) is a perfect tool to achieve the objective.

It is a module in SAP Advanced Planning and Optimization (SAP APO) aimed to provide successful planning and scheduling, while considering the capacities of resources.

The product is running on SAP S/4HANA, which makes SAP PP/DS a comprehensive planning and scheduling solution for the short terms, supporting advanced planning algorithms and detailed scheduling.

Thanks to the SAP S/4HANA PP/DS component, customers:

reduce their delivery times;

simplify and streamline planning processes;

cut down inventory costs;

increase rates of production;

make the order processing chain more transparent.

Yet, the question remains, “How does SAP S/4HANA PP/DS work in practice?” To demonstrate the solution’s key features, major benefits, and core components, LeverX experts are going to conduct a webinar on the topic “Production Planning and Detailed Scheduling (PP/DS).”

Join us to get the detailed info about the main functional assumptions and optimized planning rules. Besides providing a 360-degree overview of the solution, we’ll show a demo to illustrate the features described.

During the webinar, LeverX SAP PP/DS experts will cover the following topics:

S/4HANA Embedded PP/DS: Product Overview

Planning with PP/DS: a Deep Dive into the System

Detailed Scheduling Planning Board: Different Views

We’ll also pay particular attention to the questions from the participants in order to leave no issues unclear.

Register now and join our webinar on December 10, at 10:00 (GMT+2).
Circularise at CES 2021 with digital solutions for sharing data across entire supply chains
Tags: CES, Supply Chain, Innovation, Netherlands, Startup

Circularise at CES 2021 with digital solutions for sharing data across entire supply chains Circularise Follow Dec 9, 2020 · 2 min read

From 11 January 2021, Circularise among 80 Dutch innovative growth companies will participate in the largest tech fair in the world, the Consumer Electronics Show (CES). The CES is an annual meeting spot of some 170,000 companies and investors from some 160 countries. For the third year in a row Circularise will represent The Netherlands, this year under the motto: “NL tech solutions for global challenges”.

The fair usually takes place in Las Vegas, but will be digital this year due to corona restrictions. This edition does not last five days as usual, but five weeks, during which the exhibiting companies have the opportunity to present themselves to a worldwide network of potential customers and investors.

During these five weeks, Circularise will have a chance to connect with partners all around the globe to discuss its breakthrough patent-pending technology that represents the most secure solution for sharing data on blockchain across entire supply chains from source to final product for transparency & compliance with applicable rules & regulations, while retaining full privacy protection of the sensitive information to enable acceleration of circularity & sustainability.

By digitizing materials on blockchain Circularise is able to create a digital thread through the whole supply chain, tracing materials, ensuring compliance, mitigating risks across the supply chain and enabling organizations to create new revenue streams, avoid greenwashing, make validated claims about their materials and products, and track the CO2 footprints and other sustainability metrics.

In preparations for the CES 2021, we encourage all interested parties to reach out to us through the contact form at the following link: https://www.circularise.com/contact
Food-as-a-Software
By: Ignacio Ramírez
Tags: Supply Chain Disruption, Supply Chain, Innovation, Future, Sustainability

Learn more. Medium is an open platform where 170 million readers come to find insightful and dynamic thinking. Here, expert and undiscovered voices alike dive into the heart of any topic and bring new ideas to the surface. Learn more

Make Medium yours. Follow the writers, publications, and topics that matter to you, and you’ll see them on your homepage and in your inbox. Explore
Circularise at CES 2021 with digital solutions for sharing data across entire supply chains
Tags: CES, Supply Chain, Innovation, Netherlands, Startup

From 11 January 2021, Circularise among 80 Dutch innovative growth companies will participate in the largest tech fair in the world, the Consumer Electronics Show (CES). The CES is an annual meeting spot of some 170,000 companies and investors from some 160 countries. For the third year in a row Circularise will represent The Netherlands, this year under the motto: “NL tech solutions for global challenges”.

The fair usually takes place in Las Vegas, but will be digital this year due to corona restrictions. This edition does not last five days as usual, but five weeks, during which the exhibiting companies have the opportunity to present themselves to a worldwide network of potential customers and investors.

During these five weeks, Circularise will have a chance to connect with partners all around the globe to discuss its breakthrough patent-pending technology that represents the most secure solution for sharing data on blockchain across entire supply chains from source to final product for transparency & compliance with applicable rules & regulations, while retaining full privacy protection of the sensitive information to enable acceleration of circularity & sustainability.

By digitizing materials on blockchain Circularise is able to create a digital thread through the whole supply chain, tracing materials, ensuring compliance, mitigating risks across the supply chain and enabling organizations to create new revenue streams, avoid greenwashing, make validated claims about their materials and products, and track the CO2 footprints and other sustainability metrics.

In preparations for the CES 2021, we encourage all interested parties to reach out to us through the contact form at the following link: https://www.circularise.com/contact
Logistics and Supply Chain with Hope White
By: Nailah Lovell
Tags: Supply Chain, Podcast, Women In Business, Entrepreneurship, Logistics

Technology and innovation will carry the logistics and supply chain industries for years to come. If there is anything that we have learned in 2020 is that we need things shipped to us in lighting speed times.

When we think about logistics at a glance we usually don’t think about a woman minority-owned logistics company out of the south until Hope White CEO of H.D. White Logistics, LLC arrived.

With two locations in Georgia and a headquarters in the Atlanta metro area. H.D. White Logistics is a certified minority woman-owned business one-stop environment. This business deals with interstate freight between 48 US States and has over 25,000 carriers.

Before starting her own business, Hope White, the CEO and Founder of the company used to work as the transportation supervisor of Home Depot fulfillment network. It is from here that her spark of interest in this business kindled. It is from there that she decided that she wanted to venture into this business full steam and that is when she started the process of entrepreneurship.

Hope handles all the operations and strategic direction and is constantly working to find more cost-effective solutions for warehouse, supply chains, distribution, and material handling issues.

When talking to Subject Thread Podcast, Hope shared that it wasn’t easy creating a space in this business, The importance of affirmations, the process for certifications as a minority, logistics pros and cons, and what it means to be a woman in this industry.

Along with running her own business Hope is also a member of Great Women’s Business Council, which is a non-profit, she is also part of Operation Lunchbox a non-profit that supplies food to children and she is also a diversity and inclusion trainer.

Stream new episodes weekly on Spotify, Deezer, Amazon, Google Podcast, Podchaser, TuneIn, Player FM, Listen Notes, and www.subjectthreadpodcast.com
Deployment strategies for cloud native applications
By: Sunit Chatterjee
Tags: Deployment, Cicd

Most applications nowadays are scalable, distributed and deployed mostly to some cloud infrastructure. Updates to the application are also pushed to production at a frenetic rate.

Generally most of the upgrades needs to have these characteristics

— Zero downtime of production environment.

— Ability to rollback the changes (if required).

In this post we will look into few such strategies
Why Kubernetes? Why companies are adopting Kubernetes (K8s)
By: Samkit Shah
Tags: Deployment, Innovation, Kubernetes, Docker, Technology

I mean why not kubernetes? Imagine a situation where you have been using Docker for a little while, and have deployed on a few different servers. Your application starts getting massive traffic, and you need to scale up fast, how will you go from 3 servers to 40 servers that you may require? And how will you decide which container should go where? How would you monitor all these containers and make sure they are restarted if they exit?

Yes, this is why we need kubernetes. Let us take a look at how some of the most successful companies of our time are successfully using Kubernetes.

Tinder

Due to high traffic volume, Tinder’s engineering team faced challenges of scale and stability. What did they do?

Yes, the answer is Kubernetes.

Tinder’s engineering team solved interesting challenges to migrate 200 services and run a Kubernetes cluster at scale totaling 1,000 nodes, 15,000 pods, and 48,000 running containers.

Was that easy? No ways. However, they had to do it for the smooth business operations going further.

Reddit

Reddit is one of the top busiest sites in the world. Kubernetes forms the core of Reddit’s internal Infrastructure.

From many years, the Reddit infrastructure team followed traditional ways of provisioning and configuring. However, this didn’t go long until they saw some huge drawbacks and failures happening while doing the things the old way. They moved to ‘Kubernetes.’

Airbnb

Airbnb’s transition from a monolithic to a microservices architecture is pretty amazing. They needed to scale continuous delivery horizontally, and the goal was to make continuous delivery available to the company’s 1000 or so engineers so they could add new services. Airbnb adopted to support over 1000 engineers concurrently configuring and deploying over 250 critical services to Kubernetes (at a frequency of about 500 deploys per day on average).
Share your Web Projects Easily
By: Pratik Singh
Tags: Deployment, Code Newbie, Web Development, Webdev

Share your Web Projects Easily

As a Web Developer, whatever you work on has to be shared as a link that others can access. Irrespective of whether you are a Front-End or a Back-End dev, a MERN Stack or a LAMP Stack dev, I am assuming you know the importance of https://localhost.

What if I told you that the work on your localhost can be shared with others in a few simple steps?🤯

There are several methods of deploying your project on a server as a sharable link.

But the problem with this process that you have to-

Commit your code and Push it to an external server before anyone can see your progress.

This process is a time as well as a data-consuming process.

As a #CodeNewbie the process is even more tiresome as you have to learn all about git, GitHub, Heroku, AWS, etc.

The answer to all of these Problems is sharing your work without committing the code and pushing it to an external server. This is possible by tunneling your localhost on the internet using ngrok

Ngrok exposes local servers behind NATs and firewalls to the public internet over secure tunnels.

~ Lets get started ~

Download from here

Unzip the downloaded folder

Run the ngrok.exe

In the .exe file Command ./ngrok authtoken Your_Authentication_Key

Now Fire it up ./ngrok http 3000

if your project is hosted on http://localhost:3000/

The terminal must look like this now-

This link you see can be shared with others to see your work.

So this link can be accessed by anyone and will work as long as you run the program on your computer.

Why should you use ngrok?

They have very good documentation, easy to use, and have a lot of uses that can help you with many projects that you might work on.

I used this while working on a project that was a video calling project so even a little adjustment had to be checked from both ends. Committing and deploying your code on a server has an alternative for now.
Deploy Docker containers with Ansible
By: Dmitry Zadorozhnyi
Tags: Deployment, Docker In Docker, Ansible, Ci Cd Pipeline, Docker

Ansible is a swiss army knife in DevOps world. Prepare an environment, manage configs, deploy an application, run the needed tests and verification scripts. All that can be done with Ansible.

Docker containers another very popular and convenient tool which helps to ship the apps faster, run any application on any platform. And all cool kids already have it.

First idea: Let’s deploy Docker containers with Ansible. We can deploy a fully ready, 12 factor application packaged into a container or we can spin up an old COBOL app by mounting the needed folders and configs to our container. And since we are using Ansible we can deploy anywhere: Linux VM, Kubernetes or AWS. There are Ansible modules for everything.

Second idea: Prepare a set of Ansible roles which will allow us to deploy any kind of application and that we can easily combine/reuse different roles to create playbooks. We can have a role which will prepare the Linux VM for Docker containers, another one to generate the needed config files, another one to start an app, etc.

Final idea: Now we have an option to deploy our application but how can you test the playbooks and applications locally, on any OS, without the need to install the right version of Ansible with all the modules? Let’s create a Docker image with Ansible and Docker CLI inside. I will name it Onekotan, it is a name of an island which has a volcano in a volcano, but we will have Docker in Docker (almost). We will leverage the feature of a Docker socket and mount it from our host machine to Onekotan container.

-v /var/run/docker.sock:/var/run/docker.sock

We will start the Onekotan container and from that container we can execute an Ansible playbook. Ansible will will prepare the configs/environment and execute Docker CLI command to start an application container. But since we have mounted docker.sock from the host, the container will be started on your host machine, right next to the Onekotan container. It means that if you have started a web application on port 8080, you can access that app right from your browser with: http://localhost:8080

https://gitlab.com/dmyz/onekotan

https://github.com/DmitryZ-outten/onekotan

NOTE: This approach is not for production use, since connecting to a docker socket is not secure. But it is convenient for local Ansible roles development and allows you to quickly spin up any application.

One more use case: the concept of using docker inside a docker container is very popular in CI/CD platforms e.g. Jenkins, Bamboo. A docker image similar to Onekotan will just be a build/deploy agent which can build your applications or run your playbooks in exact same way as you have run them locally.

A good article which describes different pros and cons of Docker in Docker: https://jpetazzo.github.io/2015/09/03/do-not-use-docker-in-docker-for-ci/
Deploying an App Engine application using an archive file [jar/war]
By: Vítor Pacheco De Resende
Tags: Deployment, Google App Engine, Archive File

Goal

Broadly speaking, this article aims to help those people who want to deploy an application in App Engine using .war/.jar files. In my specific case, I shared one study I did where I coded an application using Bazel + Guice (you can see above) and I could deploy this application generating a .war file, nevertheless I didn’t find any easy tutorial explaining how to deploy it without installing anything (of course, we need to install GCP SDK).

Solution

As well as did Google tutorial, to deploy a pre-existing WAR or runnable JAR file we need to start setting up an app.yaml file with flexible environment, java runtime and with our jar/war file:

runtime: java

env: flex

handlers:

- url: /.*

script: <file_name>.war

N.B.: it assumes your app.yaml file is located in the same folder of your jar/war file.

Once we have our .yaml file we can deploy our application running the following gcloud command (you must have GCP SDK installed or use GCP cloud shell):

gcloud app deploy app.yaml

Simple as you can see, we just need to wait for the deploy process to finish, and voilà. Enjoy it.

Conclusion

I wrote this article to easily help anyone who wants to deploy their application using an archive file, doing it very quickly and no need for any installation.

I hope I can help someone with this material. If you have any questions, do not hesitate to contact me in my social medias:
Deploy A Reactjs App Using GitHub Pages
By: Muhammad Zain Tariq
Tags: Deployment, Github, Reactjs Deployment, Github Pages

A Step By Step Guide for beginner’s to Deploy Reactjs App using Github Pages

In this Blog, You will Learn

What is Github Pages?

Deploy Reactjs App on GitHub Pages.

What is Github Pages?

GitHub Pages is a static site hosting service that takes HTML, CSS, and JavaScript files straight from a repository on GitHub, optionally runs the files through a build process, and publishes a website.

Deploy Reactjs App on GitHub Pages

For Deploying a Reactjs App we will following some steps which are provided below

Step 0(optional if you have no Reactjs Project)

First we will create a React.js Project using following command in our terminal and my project name is gitpages

npx create-react-app gitpages

Step 1

Move to root directory of your react.js project in my case it was D:\React\gitpages>

Step 2

Create a repo at github for our reactjs app for this we will follow some following

First open your github account than at top right corner select + sign as shown

after this select new repository option

now we will write our project name at repository name box as I write my project name MuhammadZainTariq.github.io for my use and keep it public

after click create repository button

Hurry our repository is created.Now upload all files in our repo using following Commands

git init

git add README.md

git commit -m "first commit"

git branch -M main

git remote add origin https://github.com/{username}/{reponame}.git

git push -u origin main

Step 3

Now we will install GitHub pages package using following command

npm install --save gh-pages

Step 4

Now we will add some properties in our package.json file we will first add a property homepage syntax for publishing in a

“homepage”: “https:// {username} .github.io",

If you skip it, your app will not deploy correctly here username is your github account username and after it we will add two scripts in our existing scripts we will add following scripts in our scripts

Github user page

Step 5.

Now we will deploy our project using following commands

npm run deploy

Hurry we have successfully deployed our reactjs project on github pages as shown in figure below.

Conclusion

we learned how to deploy our reactjs project on Github pages

if you like this than Follow me for more Blogs .Connect with me at
Deploy Django App With Docker and Gunicorn in 3 Easy Steps
By: No One Knows I M A Geek
Tags: Deployment, Django, Gunicorn, Docker, Python

Step 1: Create a Dockerfile

In the project folder, create a file called Dockerfile (without an extension). This file will be used to create a docker image in the next step.

What it does is very simple: it takes “python” as base image and installs Django and Gunicorn in the container. Then it copies all the code from the current folder to the working directory of the container.

Lastly, it starts an Http server using Gunicorn on port 8000.

FROM python:3.8

WORKDIR /code RUN pip install Django gunicorn COPY . . ENTRYPOINT [“gunicorn”, “awesome_project.wsgi:application”, “--bind”, “0.0.0.0:8000”]

Step 2: Build docker image

In this step, you will build a docker image from the Dockerfile we created in step 1 and tag it as “awesome-app:latest”

docker build -f Dockerfile -t awesome-app:latest .

Step 3: Run docker image

After the docker image has been created successfully, run a docker container with the image. In order to make it accessible from outside the container, map the port to your local machine using the -p flag.

docker run --rm -p 8000:8000 awesome-app

the server should now be running in the container and accessible at localhost:8000 on your machine.
ทำ Automate Deployment ด้วย GitHub Actions กับ Ubuntu Server ในราคาประหยัด [CI/CD][Node.js]
Tags: Deployment, Ci Cd Pipeline, Nodejs, Github Actions, Pm2

banyawat/node-github-action-deploy

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Deploying Node.js on AWS
By: Suyash Kate
Tags: Deployment, Node, Nodejs, Ec2, AWS

2. Create Virtual Machine(VM) Or AWS EC2 instance

VMs are very similar to the actual computers we use everyday. VM has Operating System, RAM, storage(HDD/SSD), network interfaces. They also function like your regular computer.

The difference lies in how we operate cloud VMs.

VMs are meant to be fast. Hence, many tools and softwares that come pre-installed with your regular computer are not present on VMs. VMs run stripped-down versions of Operating Systems.

Login to your AWS account. You will see AWS Management Console. Open Services -> EC2

2. On EC2 Dashboard select Launch Instance.

3. Select Free tier only. Select Ubuntu Server as operating system for your EC2.

4. Select instance family as t2.micro which is eligible for free tier. This will allocate 1CPU, 1Gb RAM and 8Gb storage. Then click on Review and Launch .

5. Select Launch.

6. You will see popup for private key. Select Create a new key pair. Give an appropriate name to your key pair name. In this case I have given name as “node_demo”.

Download the Private Key and save it at secure location.

SSH uses public key authentication. The idea is to have cryptographic key pair — Public Key and Private Key. AWS configures Public key on the VM(EC2 instance you create) so that anyone with access to the Private Key(from the same pair) can access the VM.

That is why it is important to keep the Private Key secure. This key shall be used to connect to the EC2 instance using SSH.
How to deploy a telegram bot on AWS Lambda for free
By: The Programmer S Chest
Tags: Deployment, AWS Lambda, Telegram Bot

Some years ago I developed a little telegram bot called comptrain-individuals that parses WODs from Comptrain and post them on a telegram Channel called @CompTrainIndividuals. The problem was, in order to deploy it and have it online 24/7 I was using a free account on OpenRedshift, which forced me to recreate an account every 60 days and re-deploy everything again.

Recently I came out across a solution using AWS Lambda and its free tier products and since then I have had no problems at all. I only needed to deploy it once and it has been working since then. Today I want to tell you how you can do the same for your telegram bots.

Continue Reading…
How to Deploy Your Qt Cross-Platform Applications to Windows Operating System By Adding Manually the Required Qt Dependencies
By: George Calin
Tags: Deployment, Cross Platform, Development, Qt, Windows 10

There exists also the concept of static linking , which means that all the required libraries from the Qt framework are embedded at the moment of building the code in the binary executable. This is the mode of deployment available with the commercial version of Qt.

Depending on the particulars of your application and its demands in terms of Qt framework, a number of errors will arise:

Following is an example, for the case of my code

Missing QtCore5.dll

Missing Qt5Gui.dll

Missing Qt5Widgets.dll

Again, I wish to repeat, you are going to receive the same or/and some other errors, depending on the actual Qt lines of code.

…

Step 5. Copy the missing library .dll files in the new folder
Feature Toggling With LaunchDarkly
By: Ross Rhodes
Tags: Deployment, Launchdarkly, Feature Flags, Software Engineering, Software Development

Feature Toggling With LaunchDarkly

With any large scale software project, there are multiple avenues to consider when it comes to deployment: whether to ship your new software all at once, roll out the project in phases, or release a canary into the coal mines.

With all-at-once delivery, your new product will be presented to users in a single, “big bang” release. This would be the quickest approach, but yields large room for error which may come back to bite the development team further down the line. On the other hand, a phased migration takes longer to complete, but offers extra protection with smaller, incremental releases and feedback from customers earlier in the development process.

Following a phased rollout strategy means development teams need the ability to easily enable and disable new features. This is where LaunchDarkly proves useful, allowing us to create feature flags to seamlessly show and hide functionality. LaunchDarkly provides a UI for toggle management along with a wide range of SDKs for easy integration into our application code. Let’s take advantage of LaunchDarkly’s 14-day free trial to explore how this works.

How Do I Create a Feature Flag?

Starting with the UI console, LaunchDarkly configures a default project with two environments: Production and Test. We can alternate between these environments using the project drop-down at the top-left corner, or create a new project altogether under the account settings. We’ll stick with the default Production project for now, creating a new flag with the “+ Flag” button.
Packaged SharePoint Deployment Planning Services
By: Mike Gilronan
Tags: Deployment, Microsoft, Sharepoint

This article was originally posted on May 20, 2008.

I was thrilled today to see the long-awaited announcement of some packaged service offerings for SharePoint rolled out by Microsoft. The program is called SDPS, or SharePoint Deployment Planning Services, and it is being offered only by Microsoft Consulting Services and select partners who meet strict eligibility requirements (e.g., certifications in SharePoint and competencies in portals, collaboration, content management, search, etc.).

What does it mean to you as a Microsoft customer? If you license your products under Microsoft’s Software Assurance program (SA), you are eligible to use services dollars you receive as a benefit under SA to fund structured SharePoint planning engagements of 1, 3, 5, 10, or 15 days in length to do things like build proofs of concept, conduct architectural design sessions, etc. It also means you get to select among a small group of highly qualified services organizations, armed with best practices and well-vetted tools available only to SDPS partners, to deliver these engagements.

If you’re considering going down the SharePoint path and you license your Microsoft products under SA, you may find the SDPS program highly worthwhile. It is designed to take risk and friction out of the process of deploying SharePoint. However, this is only part of the equation and no substitute for actually knowing what you intend to do with all these wonderful SharePoint technologies. :-)

A few starting points I’d recommend to help clarify and prioritize your objectives if commencing a SharePoint project:

Clever Workarounds’ excellent recent series on “Why SharePoint Projects Fail.” Paul touches on, among a million other good points, the importance of having a well-defined set of business goals before launching a SharePoint project. (He also mixes in some snark and makes it fun) Microsoft’s Infrastructure Optimization tools, which you and your partner can use to ascertain your level of optimization around functional areas such as Unified Communications, Business Intelligence, or Search. To the classicists among you, think “Capability Maturity Model” as applied to business productivity tools. While not a “cure-all,” it provides a structured way of assessing and prioritizing many of the options you have as an IT professional or knowledge worker regarding where to spend your time and resources.

Our firm aggressively pursued this program and became (I was told at the time, in November 2007) the second partner in the world signed up to provide these services, but the program itself was just officially rolled out this week. We’ve invested heavily in these areas and have been champing at the bit to execute against this!
How I deployed my Java Springboot App with MYSQL in AWS for free
By: Nil Madhab
Tags: Deployment, DevOps, Ec2, AWS, Technology

5. Deploy the spring application in cloud EC2

Clone the branch in git and switch to right branch.

now at root directory where pom.xml exits run

mvn package

It should be success.

So, .war file has been created. you can check it in target folder. Now run (replace with your own generated .war file)

java -jar target/ecommerce-backend-0.0.1-SNAPSHOT.war

Go to the public dns name of the EC2 and run your application with correct port and part.

Next step

Great your app is running in aws. But there is one problem, what happens when you want to change your code and redeploy ? Well this tutorial is not for production codebase, which you can learn here

but I will give you my script to make it easy redeploying. Run

sh run.sh

With one command, you can redeploy your application again and your new code is live again. Works perfectly when you want to try out AWS, without going through the complexity of buildspec.yaml files. Also you can deploy multiple applications in same ec2 instance in different ports !

Resources

https://bitbucket.org/ecommerce-webtutsplus/ecommerce/src
Deploying a NLP model with Docker and FastAPI
By: Marcos Esteve
Tags: Deployment, Fastapi, Docker, Scikit Learn, Machine Learning

Building the API ⚙️

Now we have the model trained and saved. It’s time to build our API to serve it on production. For doing that I will use FastAPI. FastAPI is a library built on top of Pydantic, Starlette, and Swagger, and allows developers to build fast and robust APIs in Python. Thanks to Pydantic, check data types are now easier than never. And also, thanks to Swagger it is possible to build automatic interactive documentation for the API.

The API that I developed only has an endpoint to predict the hypothesis class given a new SMS. As we can see in the following snippet the code it is quite simple 😁.

Basically, you need to load the model and then define the endpoint with the inference logic. In this case, I want to define a POST method with a param called “data” as a string. Thanks to strong typification, Pydantic can check if the input data is a string and if not, it can return an exception.

Also, as I say, thanks to the integration between fastAPI and Swagger we can have interactive documentation generated automatically. This is very useful when you need to explain to other people how your API works.
How to deploy cross platform web applications on Cloud
By: Maleeha Khalid
Tags: Deployment, Azure, Aspnetcore, Azure App Service, Net Core 3

Once you understand all the concepts and build a cross platform web application, the next step is to deploy this application.

In order to create a cross platform server side applications that run on Windows, Linux and Mac, we use .NET core. I am using .NET core 3.1. You can use .NET core 2.2 or higher version. First we will create a simple web application project. You can directly deploy your own application by just following the steps of deployment.

Create a new project and select ASP .NET Core Web Application from the list.

Configure your project name. Select MVC application and select .NET 3.1 from the dropdown menu.

Once the application is created, right click on the project and select publish. You will see a similar screen.

Click start and select Azure.

Select Azure App Service(Windows).

If you have not logged in to your Azure account from visual studio, you will be asked to enter your account information before you proceed. Select your subscription. If your are a student and want to learn Azure for free, you can register yourself here and you will get 100$ credit for free.

I have already created Azure App Service. You can create one by pressing the + icon next to ‘Create New Azure App Service’.

Name your application. Select your subscription. Create the resource group and hosting plan. You can select the free hosting plan size from dropdown menu and then press Create.

After that, select the App Service and press Finish.

Press publish and wait until the success message appears on output window.

And Voila!!! You have deployed your application successfully. You can see your application be going to the URL yourAppName.azurewebsites.net.

Conclusion:

We have created the basic ASP .NET MVC application and deployed it continuously on Microsoft Azure using Microsoft Azure App Services.
Export an Entire Pandas DataFrame as a Document to Elasticsearch
By: Chetana Didugu
Tags: Deployment, Etl, Pandas, Elasticsearch Service, Pandas Dataframe

Export an Entire Pandas DataFrame as a Document to Elasticsearch

I have forever been in search of a method to export an entire Pandas DataFrame to Elasticsearch Client. I had tried my hand at it using the helper function in this post. However, a problem with this method is that, it is difficult to get back the entire DataFrame as an intact DataFrame. I mean, we can only extract one row at a time. This doesn’t bode well for tasks where you need to scan the entire database. So, I started looking for methods to get back the entire DataFrame, instead of tediously pulling each row individually.

I recently stumbled upon a library called espandas, which was a complete game-changer for me. It totally blew my mind! A huge shout-out to David Shuab for creating this library.

The Setup

First of all, for any of your Elasticsearch based solutions to work, you need to have it running in the background.

Make sure you have Elasticsearch downloaded on your system, and run it from your terminal by navigating to the folder where you have it installed. To run it type the following command:

\elasticsearch-6.8.0\bin> elasticsearch

That will get it up and running, and as a confirmation, you can see the following on your terminal:
Easiest Blue-Green Deployment with Cloud Foundry on IBM Cloud
By: Vadym Yatsyuk
Tags: Deployment, Ibm Cloud, Cloud Foundry, Ci Cd Pipeline

Downtime

When we develop apps for our customers at IBM Garage for Cloud we always deploy several times a day. And therefore we need to make sure that our services have as little as possible downtime.

One of the goals of the Blue-Green technique is to reduce downtime of the service being deployed.

This is how actual deployment of the service before Blue-Green looks like:

1) We have a running version of our service

2) We stop our service

3) Replace the service with the newer version

4) Start the service

In the moment when we stop our service it will be unavailable for our users — that is what we want to avoid! We want our service to be always available.

With Blue-Green Deployment technique we would have two apps to run in parallel, we would have an old version of our app running until the new version is finally deployed.

This will also handle a risk of having broken version of the service to be deployed. We would have to wait until the new version of our service is fully running and healthy. If there are any problems with the new app — it will be discarded and users will continue using the old version. Otherwise if no problems, old version will be discarded while newer version is already running. In this way we would have no downtime.
ngrok — Expose Your LOCAL WEB Server to PUBLIC Internet (complete guide with Video) 📹
By: Shahjada Talukdar
Tags: Deployment, Ngrok, DevOps, Exposelocalserver, Localhost

We, all the developers, sometimes in our life felt like — Okay, I have an app running in my localhost and I want to show this app to someone. If I could instantly do that without dealing with deploying to PROD or any Cloud services.

YES, we can do that! Yay! 🙌

ngrok will help us to do that.

To see the COMPLETE GUIDE on how we can do that, please watch the video shared below 👇

SUBSCRIBE to YouTube Channel — https://www.youtube.com/channel/UCy5EgfydCQlVv_AM-FZyYcg?sub_confirmation=1

LIKE FB Page — https://www.facebook.com/the.destro.dev.show/

Follow on Twitter — https://twitter.com/destro_mas

Follow on DEV — https://dev.to/destro_mas

Made with ❤️ in Berlin!

Cheers!

👋
Abstractio — Deploy Docker Containers without Worrying about Complexity
By: Stefano Cascavilla
Tags: Deployment, Docker, DevOps, Serverless

Abstractio is a deployment platform that allows customers to easily deploy Docker applications in the cloud without worrying about complexity.

Everytime you need to deploy a docker application, you need to manage servers, networking, security, scalability, and load balancing. This is something to fight with if you are not so familiar with these things.

Abstractio lets you deploy your docker containers without worrying about all these things. You only need to select the registry (public or private) where your docker image is, and then Abstractio will deploy it setting all the infrastructure.
Machine Learning in the Cloud using Azure ML Studio
By: Ranganath Venkataraman
Tags: Deployment, Azure Ml, Azure Ml Studio, Azure Machine Learning, Azure

Context

As evident in my previous posts, my self-taught journey to date focused on building predictors and visualizations using machine learning algorithms with Python. My interface was the Jupyter notebook, and my work lived on my laptop. As I was getting ready to practice and learn deploying models, I started the Nanodegree that — among other concepts — covered the deployment of models in Azure.

How this article is organized

Topics covered in this article about Nanodegree’s Capstone project are:

Purpose

Setting up for the project.

Development — HyperDrive and AutoML

Deployment

Conclusions

Throughout this article, I’ll discuss points that were good learning opportunities for my fellow students and me.

Purpose

The capstone project is the culmination of training on various concepts; therefore, it tested our ability to:

run a HyperDrive experiment to comb through the hyperparameter search space to find settings that maximize the performance of a pre-selected scikit-learn algorithm on a problem of choice

use AutoML to find the best algorithm that maximizes performance on the aforementioned problem

deploying the best performing model as an active endpoint that can be queried by anybody — getting the product out of my laptop so anybody can use it

Setting up for the Capstone project

The first step was to select a problem and dataset: I chose the problem of predicting vehicle fuel efficiency with the Auto MPG dataset from the UCI repository. Since I was familiar with this dataset from a prior post, I could focus on the mechanics of Azure’s Machine Learning (ML) Studio.

Microsoft and Udacity provide a virtual machine for the capstone: Standard DS3V2 with 14 GB RAM that can provide up to 4 CPU nodes. After launching a workspace that uses this virtual machine, the next setting-up step is to upload and register the dataset, which currently is a .csv file on my desktop.

Once completed, AzureML provides the user with the necessary code to consume the registered dataset, as seen in Figure 1 below. The line declaring the Experiment is my own and not necessary to consume a registered dataset.

Figure 1: consuming registered dataset

With the dataset ready for use and a workspace launched on a running virtual machine ‘compute,’ we are ready to develop the project.
Deployment of Webserver on Docker Using Ansible
By: Priyanka Bhide
Tags: Deployment, Docker, Ansible

Concepts Used :

Ansible : It is simple open source IT engine which automates application deployment, intra service orchestration, cloud provisioning and many other IT tools. Ansible-Playbook : A playbook is a file where users write Ansible code, an organized collection of scripts defining the work of a server configuration. Docker : It is an open-source project for automating the deployment of applications as portable, self-sufficient containers that can run on the cloud or on-premises. Controller Node : A controller node(CN) is a Linux server that has Ansible installed on it and is used for managing remote hosts or nodes. Managed Node : The remote systems managed by the controller node are known as Managed Hosts or Managed Node(MN).

Check the following things in CN :

Ansible version by the command :- ansible — version

Create a inventory file that contains managed node IP , username and password. So that CN can manage the configuration of MN.

Add the path of inventory in configuration file of ansible -/etc/ansible/ansible.cfg

Get all manage nodes by the command : ansible all — list-hosts

Check the connectivity by the command : ansible all -m ping

Now the setup of the Ansible is done . So, we can go to the next step that is creating a playbook. Ansible Support YAML language , Hence I have created the dockercode.yml ansible-playbook.

This playbook performs following tasks at MN :

1. Configures yum for Docker

2. Installs Docker Software

3. Starts Docker services

4. Installs Docker SDK

5. Creates directory at MN

6. Copies Webpages from CN to MN

7. Pulls httpd server image

8. Launches Docker container

CODE :

Run the playbook by the command : ansible-playbook dockercode.yml

OUTPUT :

check all the things in MN , that we have done from CN.

Thank You!