sudo certbot -i nginx -d mqbakery.com -d *.mqbakery.com -a manual
sudo nginx -t
sudo systemctl reload nginx
or
docker stop docker-webserver-1
docker start docker-webserver-1
NB- When you add acme challenge in godaddy, don't forget to remove the domain name from txt name. eg:_acmechallenge.mqbakery.com may be written as only acme_challenge
sudo apt update
sudo apt install python3
Verify Installation:
python3 --version
python3
sudo apt install python3-pip
pip3 --version
Interpreter -
Python3 filename.py
https://support.google.com/analytics/answer/9304153?hl=en
https://analytics.google.com/analytics/web/#/p213025502/reports/intelligenthome
https://www.youtube.com/watch?v=QmEOPuJr05w&list=PLI5YfMzCfRtZ4bHJJDl_IJejxMwZFiBwz&index=4
Setting up a Google Analytics account involves a few steps. Follow these step-by-step instructions:
Create a Google Account: If you don't have a Google Account, you'll need to create one. Visit the Google Account creation page and follow the instructions.
Sign in to Google Analytics: Once you have a Google Account, go to the https://analytics.google.com/analytics/web/#/ and sign in with your Google Account credentials.
Set Up a New Google Analytics Account:
Set Up a Property:
Configure Data Sharing Settings:
Create a Google Analytics 4 Property:
Agree to Terms and Create:
Install the Tracking Code:
Verify Tracking Installation:
Explore Google Analytics:
Remember that it may take some time for data to appear in your reports, so be patient. Regularly check your Google Analytics account to gain insights into your website's performance and user behavior.
Below is the Google tag for this account. Copy and paste it in the code of every page of your website, immediately after the <head> element. Don’t add more than one Google tag to each page.
There are several excellent free courses available for Artificial Intelligence (AI) studies. Here are some of the best free courses for AI:
1. Stanford University's CS229: Machine Learning: This course is available for free online and covers various machine learning algorithms and techniques. It is widely regarded as one of the best resources for learning machine learning.
2. Stanford University's CS231n: Convolutional Neural Networks for Visual Recognition: This course focuses on deep learning techniques applied to computer vision. It covers topics such as CNNs, image classification, object detection, and more.
3. University of Helsinki's Elements of AI: This online course provides a beginner-friendly introduction to AI. It covers various AI concepts and applications, offering a comprehensive overview of the field.
4. Google's Machine Learning Crash Course: This free online course offers an introduction to machine learning concepts. It covers topics such as linear regression, classification, neural networks, and more.
5. Microsoft's Artificial Intelligence (AI) Ethics, Law, and Policy: This course explores the ethical implications of AI. It covers topics such as fairness, transparency, privacy, and bias in AI systems.
6. deeplearning.ai's Deep Learning Specialization: This specialization on Coursera offers the first course, "Neural Networks and Deep Learning," for free. It provides a comprehensive introduction to deep learning techniques.
7. Berkeley's Artificial Intelligence: This course, available on edX, covers various AI topics such as search algorithms, logic, planning, and more. It provides a solid foundation in AI principles.
8. Fast.ai's Practical Deep Learning for Coders: This course is designed to make deep learning accessible for coders. It covers practical aspects of deep learning and provides hands-on experience with real-world applications.
9. UC San Diego's Machine Learning Fundamentals: This course offers an overview of machine learning principles, algorithms, and applications. It covers topics such as regression, clustering, and reinforcement learning.
10. IBM's Applied AI: This course on Coursera explores various AI applications in industries like healthcare, finance, and cybersecurity. It offers insights into how AI is being used in real-world scenarios.
These free courses provide a solid foundation in AI and cover a range of topics including machine learning, deep learning, ethics, and applications. They are a great way to get started and gain knowledge in the field of AI without incurring any cost.
If you face this "connection timed out error"
$ sudo apt update
Could not connect to in.archive.ubuntu.com:80 (*2403:8940:ffff::f*), connection timed out Could not connect to in.archive.ubuntu.com:80 (103.97.84.254), connection timed out
Err:8 http://in.archive.ubuntu.com/ubuntu bionic-updates InRelease
Unable to connect to in.archive.ubuntu.com:http:
Err:9 http://in.archive.ubuntu.com/ubuntu bionic-backports InRelease
Unable to connect to in.archive.ubuntu.com:http:
------------------------------------------------------------------------ 1)sudo nano /etc/apt/sources.list2)replace allhttp://**xx**.archive.ubuntu.com/ubuntu...tohttp://archive.ubuntu.com/ubuntu ...
https://askubuntu.com/questions/1198621/apt-get-cannot-connect-to-ubuntu-archives
Download the Ubuntu to your system
REFERENCES:
https://ubuntu.com/tutorials/create-a-usb-stick-on-ubuntu#3-launch-startup-disk-creator
node -e 'console.log(v8.getHeapStatistics().heap_size_limit/(1024*1024))' That said, to increase the memory, in the terminal where you run your Node.js process:
export NODE_OPTIONS="--max-old-space-size=8192" Reference https://stackoverflow.com/questions/53230823/fatal-error-ineffective-mark-compacts-near-heap-limit-allocation-failed-javas
1) Go to the website https://reqbin.com/curl
2) paste the curl and run to see validation errors
To increase the storage space of an Amazon EC2 instance, you can follow these general steps. Keep in mind that this process may vary slightly depending on the EC2 instance type and your specific requirements:
Create a Backup (Snapshot): Before making any changes, it's crucial to create a backup (snapshot) of your EC2 instance's EBS (Elastic Block Store) volume. This ensures that you have a point-in-time copy of your instance's data that you can restore if anything goes wrong during the resizing process.
To create a snapshot, go to the AWS Management Console, navigate to the "EC2" service, select "Volumes" from the left sidebar, find your instance's EBS volume, right-click it, and choose "Create Snapshot."
Stop the EC2 Instance: To make changes to the instance's storage, you will typically need to stop it first. In the AWS Management Console, right-click your instance, and choose "Instance State" > "Stop."
Resize the EBS Volume: After stopping the instance, you can resize the EBS volume attached to it. Here's how:
a. In the AWS Management Console, go to "EC2" and navigate to the "Volumes" section.
b. Find the EBS volume that is attached to your EC2 instance.
c. Right-click the volume and choose "Modify Volume."
d. In the "Modify Volume" dialog, increase the volume size to your desired capacity.
e. Confirm the changes, and AWS will perform the resize operation. This process usually completes quickly, but it might take a few minutes.
Start the EC2 Instance: Once the volume is resized, you can start your EC2 instance again. Right-click your instance in the AWS Management Console and choose "Instance State" > "Start."
Resize the File System: After resizing the EBS volume, you'll need to resize the file system on the instance to make use of the additional storage space. This step depends on the operating system you're using:
For Linux: If you're using Linux, you can use the resize2fs command to resize the file system. For example, if you're using ext4, you can run:
bashlsblk //to find out partition name xvda1df -hT //to find the type of partitionsudo growpart /dev/xvda 1 sudo resize2fs /dev/xvda1
sudo resize2fs /dev/xvdf
Replace /dev/xvdf with the appropriate device name for your instance.
For Windows: If you're using Windows, you can use the "Disk Management" tool to extend the partition to include the newly allocated space.
Verify the Storage Increase:
After performing these steps, verify that the storage space has increased. You can check the available disk space using commands like df (Linux) or in the Windows File Explorer.
Remember that these steps might vary slightly based on your specific EC2 instance type, region, and operating system. Always take precautions and create backups before making changes to your EC2 instance's storage to prevent data loss.
If server key is not available:
https://console.cloud.google.com/apis/api/googlecloudmessaging.googleapis.com
2. In the project settings, add a web app (if you don't already have one) and download the Firebase configuration JSON file. You'll need this for server authentication.
3. To get VAPID key, in the "cloud message" generate web push certificate key pair
References: https://stackoverflow.com/questions/37427709/firebase-messaging-where-to-get-server-key
REFERENCES:
https://www.freecodecamp.org/news/where-are-docker-images-stored-docker-container-paths-explained/
1) The output contains information about your storage driver and your docker root directory
$ docker info 2) A Docker container consists of network settings, volumes, and images. Ubuntu:/var/lib/docker/
3) Docker images Docker images are stored in /var/lib/docker/overlay2 4) Docker Volumes$ docker run --name nginx_container -v /var/log nginx 5)Clean up space used by Docker
$ docker system prune -a 6) To get container size and container info
$ docker ps -s
$ docker ps -a
7) pull down an image from a repository,
docker pullcreate a container from an image that does not yet exist locally, each layer is pulled down separately, and stored in Docker's local storage area, which is usually/var/lib/docker/
8) Check out the sizes of the images:
docker image ls
9) create a volume
docker volume create my-vol
10) List Volumes
docker volume ls
11) Inspect volumedocker volume inspect my-vol
12) To backup volume
docker run --volumes-from --container_name-- -v $(pwd):--path-- ubuntu tar cvf --path--/storage.tar /app/storage/app/public
13) To restore volume
docker run --rm --volumes-from --container_name-- -v $(pwd):--path-- bash -c "cd storage/app/public && tar xvf --path--/storage.tar"
14) To restore volume
docker exec -it docker-webserver-1 /bin/bash
TTo Set up ssl certificate:
docker compose run --rm certbot certonly --manual --preferred-challenges dns -d example.com -d *.example.com -v
docker ps
docker restart docker-name
docker system df
df -h
docker builder prune
docker exec -it docker-webserver-1 /bin/sh
docker logs docker-webserver-1
Dangling images are images that are not associated with any running containers and are not tagged with a specific version or name. These images are typically left behind when you build or pull new images, and older, unused versions are no longer needed. They can accumulate over time and consume disk space.
docker image prune
docker container prune
java -Dsonar.token=SONAR_TOKEN -Dlicense.file=/home/mysupply/Downloads/bitegarden-sonarcloud-report-1.3.4/LICENSE.txt -Dsonar.projectKey=examplecode1_phpbackend -Dsonar.organizationKey=examplecode1 -Dreport.type=0 -jar bitegarden-sonarcloud-report-1.3.4.jar
If you encounter the error message "Invalid domain for site key" when working with Google reCAPTCHA, it typically means that the site key you are using is not associated with the domain or website where you are trying to implement reCAPTCHA.
To resolve this issue, you need to ensure that you have registered the correct domain or website with Google reCAPTCHA and obtained the appropriate site key. Follow these steps to fix the problem:
By following these steps and using the correct site key associated with the domain or website, you should be able to resolve the "Invalid domain for site key" error.
Add the site key to
(search for recaptcha)
clients: supplier portal , admin portal , user portal (to their env.docker files)
Add secret key to
server: laravel back-end
To implement Google reCAPTCHA on your website, follow these general steps:
Sign up for reCAPTCHA: Go to the reCAPTCHA website (https://www.google.com/recaptcha) and sign in with your Google account. You will need to register your website and obtain API keys.
Choose reCAPTCHA type: Decide whether you want to use reCAPTCHA v2 or reCAPTCHA v3. reCAPTCHA v2 provides the traditional "I'm not a robot" checkbox, while reCAPTCHA v3 is a background verification system that assigns a score to user interactions.
Obtain API keys: Once you have registered your website, you will receive a site key and a secret key. These keys will be used to integrate reCAPTCHA into your website.
Add reCAPTCHA script to your HTML: Insert the reCAPTCHA script tag into the <head> section of your HTML file. This script is provided by Google and loads the reCAPTCHA functionality on your web page.
Add reCAPTCHA widget: Place the reCAPTCHA widget where you want it to appear on your website. For reCAPTCHA v2, this is typically a checkbox element. For reCAPTCHA v3, you will need to add a script to initiate the verification process.
Verify the response: When a user submits a form or performs an action, you need to verify the reCAPTCHA response on your server-side code. Send the response token to Google's reCAPTCHA API for verification using your secret key.
Handle the verification response: After submitting the reCAPTCHA response to Google, you will receive a verification response. Based on this response, you can determine if the user is a human or a bot and proceed accordingly.
The implementation details can vary depending on your programming language and framework. Google provides detailed documentation and code examples for various platforms, which you can refer to for specific implementation steps.
Remember to handle the verification on the server-side, as client-side verification can be bypassed by malicious users.
Other references:
https://www.freecodecamp.org/news/how-to-setup-recaptcha-v3-in-laravel/
1)To fix issues, create a new global admin user temporarily
Steps: i) Login to office.com(Microsoft 365 account)
ii) Select 'Admin' from the top left(::- App Launcher)
iii) Go to 'Users' section in the left side bar
iv) Sielect 'Active Users' from the sub menu
v) Use 'Add User' option to create new user with 'Global Admin' prevelege.
vi)Assign pwd, ensure to remember them
vii)Enable MFA if required
viii) Assign all unpaid licenses.
After creating, do the required task, like verifying publisher or enabling MFA.
Once the task is done you may delete the test user
References:
https://learn.microsoft.com/en-us/azure/active-directory/develop/mark-app-as-publisher-verified
https://portal.azure.com/#view/Microsoft_AAD_RegisteredApps/ApplicationsListBlade
If you are already enrolled in the Microsoft Partner Network (MPN)(Microsoft partner center) and have met the pre-requisites, you can get started right away:
1)Sign into the Azure Portal, Search 'App Registration' portal
2)Choose an app and click 'Branding & properties' from the left side menu.
3)Click Add MPN ID to verify publisher and review the listed requirements.
4)Enter your MPN ID and click Verify and save.
Other Portals you might require for MFA and other tasks:
1)Azure active Directory
2) Azure AD Identity (Risky users issue)
https://medium.com/tensult/aws-hosting-static-website-on-s3-using-a-custom-domain-cd2782758b2c
AWS S3 offers a free tier that includes 5GB of storage, 20,000 GET requests, 2,000 PUT requests, and 15GB of data transfer out per month for the first 12 months. To host a website in S3 for free, you can follow these steps:
{
"Version":"2012-10-17",
"Statement":[{
"Sid":"PublicReadGetObject",
"Effect":"Allow",
"Principal": "*",
"Action":["s3:GetObject"],
"Resource":["arn:aws:s3:::your-bucket-name/*"
]
}
]
}
Error:
You either don’t have permissions to edit the bucket
policy, or your bucket policy grants a level of public access that
conflicts with your Block Public Access settings. To edit a bucket
policy, you need s3:PutBucketPolicy permissions. To review which Block Public Access settings are turned on, view your account and bucket settings. Learn more about Identity and access management in Amazon S3
--will need to switch off the bucket policy
example.com.Once the DNS changes have propagated, you should be able to access your S3 bucket website at the specified domain name.
Note that some additional configuration may be required depending on your specific use case, such as configuring SSL/TLS encryption, setting up redirects, or restricting access to your S3 bucket.
-Click on the bucket to see the objects
-Click on the object to get the url, use the url to load the browser
When setting up a custom domain for an AWS S3 bucket, you generally do not need to enter an IP address. Instead, you can create a CNAME record that points to the S3 bucket's endpoint.
For example, to set up a custom domain for an S3 bucket located in the eu-central-1 region, you can follow these steps:
In your AWS S3 console, select the S3 bucket you want to use for your website.
Click on the "Properties" tab and then click on the "Static website hosting" option.
In the "Static website hosting" page, note down the S3 bucket endpoint URL, which should be in the format of bucketname.s3-website-region.amazonaws.com.
Go to your GoDaddy account, select the domain you want to use for your website, and click on "Manage DNS".
Create a new CNAME record and enter your desired subdomain in the "Name" field (e.g. www), and then enter the S3 bucket endpoint URL in the "Points to" field.
For example, for an S3 bucket with endpoint mywebsite.s3-website.eu-central-1.amazonaws.com, you can create a CNAME record with "www" as the name and mywebsite.s3-website.eu-central-1.amazonaws.com as the value.
References:
https://aws.amazon.com/ec2/pricing/reserved-instances/buyer/
There are many websites that offer free static templates for websites. Here are a few popular options:
FreeHTML5.co
HTML5 UP
Colorlib
Templated
Free CSS
W3Layouts
Start Bootstrap
BootstrapMade
Themezy
OS Templates
Note that some of these sites may offer both free and premium templates, so be sure to double-check before downloading to make sure it's the right option for you.
The way to get to Reserved billing is counterintuitive.
Basically, you have to pretend that you’re buying a new instance, of the Reserved type, with the exact same attributes of the one you want to convert. Upon making the purchase you will have converted the other one.
Basically, you have to pretend that you’re buying a new instance, of the Reserved type, with the exact same attributes of the one you want to convert. Upon making the purchase you will have converted the other one.
It’s gross, but it works.
https://console.aws.amazon.com/ec2/v2/home.So what then happens is that Amazon finds your running On Demand instance and converts it to a Reserved instance. And now if you go into billing you should see that reflected.
And more importantly, if you go into your instances dashboard you’ll just see the same ones you had before. You haven’t actually purchased a new box; you’ve just converted the one that matched those specs from On Demand to Reserved.
For anyone running a box in EC2 that isn’t likely to change in size or location over one to three years, I highly recommend you check out Reserved Instances. They could save you a massive amount of money, just like it did for me.
References:
https://danielmiessler.com/blog/saved-ec2-bill-5-minutes-switching-reserved-instance/