Forem: Raqs

"Breaking Ground: First Time at ReInvent 2022 - A Journey into AWS Cloud Computing Learning and Networking in Las Vegas, USA"

Raqs — Sun, 24 Sep 2023 12:51:03 +0000

In late November 2022, I set off on a profound adventure from my home country, the Philippines, to the bright city of Las Vegas. A chance to attend the AWS Reinvent 2022 Cloud Computing Conference (deferred grant year 2020). Thank you to AWS Builders Grant, specially with Jessica Gulledge and Jason Dunn. It was two nights and two days trip and five days event.

That will be a part one that will take you through my journey as I engaged in technical learning, attended informative workshops and keynotes, and networked with and networked with fellow AWS enthusiasts and experts.

Day 1 - November 29, 2022: Arrival and attend the CSIRT Workshop

Flight time from Manila to Las Vegas was 18 hours, including a stopover in South Korea and a flight transfer from Los Angeles to Las Vegas. It began with considerable excitement as I touched down in Las Vegas. As I checked into the Treasures Island Hotel, the first workshop in MGM Hotel, which was the epicenter of Reinvent 2022, the city's dynamic energy was palpable. I wasted no time after settling in and went directly to the Cybersecurity Incident Response Team (CSIRT) workshop.

The workshop was eye-opening, delving deep into the AWS ecosystem's world of cybersecurity. It was a fantastic way to begin my Reinvent journey. Breakfast, lunch, and dinner were all accompanied by lively discussions with other attendees, and the day ended with a welcome party and a data workshop, kicking off the exciting days ahead.

Day 2 - November 30, 2022: Attending the Cloud Computing Expo

The second day was dedicated to immersing myself in the heart of Cloud computing and data analytics - the Cloud Computing Expo. The vast expo floor was a sight to behold, featuring the most recent cloud computing breakthroughs and technology. I was especially looking forward to meeting AWS Community Builders and DevOps specialists.

Networking during the exhibition was beneficial, as I swapped ideas and experiences with other experts. The day was both inspiring and taxing, with a plethora of information to digest.

Day 3 - December 1, 2022: Keynotes and Workshops

I attended a Microservice Observability with Amazon Content hub event Workshop. The practical experience with this intense search and analytics engine was priceless. Following the session, I participated in the major event—the keynotes at Reinvent.

The keynotes were a highlight of the conference, with AWS executives revealing new technologies and sharing their vision for cloud computing's future. It was great to be a part of an audience excited to see AWS evolve. The day they were finished with unique data-related announcements that left me in amazement and eagerness.

Day 4 - 12/2/2022: Bellagio Exploration with Fellow Builders

I took a break from the conference on day four to tour the gorgeous Bellagio resort with fellow AWS Community Builders. A day of relaxation and connection, I have provided a fresh perspective of Las Vegas outside the convention halls.

We talked about how AWS transformed businesses worldwide as we went through Bellagio's renowned gardens and watched the mesmerizing fountain show. It was a day of fellowship and thought.

Day 5 - 12/3/2022: Las Vegas Exploration

My final day in Las Vegas was spent exploring the city's well-known landmarks. I savored the city's distinctive offers, from the sweet delights of Hershey's Chocolate World to the flaming exhilaration of Hell's Kitchen. The beautiful charm of the Bellagio, day and night, was the ideal ending to my Reinvent 2022 adventure.

AWS Reinvent 2022 was more than a conference; it was an exploration, learning, and networking adventure. My week was filled with beautiful events, from technical courses to motivating keynotes to enjoying the marvels of Las Vegas. As I said my goodbyes to the conference and the city, I looked forward to sharing my newfound knowledge and passion with my colleagues back in Asia. I was looking forward to the next Reinvent experience.

Stay tuned for my next piece, in which I will detail Tips for First-Time Attendees at AWS Reinvent. And how they applied for a grant from AWS Builders Community 2021, which had to be postponed due to the COVID-19 Pandemic, to attend Reinvent 2022 and shape the future of cloud computing in Asia and beyond.

AWS Personalize search keywords encourage students to use education platform while data in privacy mode

Raqs — Fri, 30 Dec 2022 15:53:38 +0000

If you're looking to target students to use search engine and you want to do so while keeping their data in privacy mode, then AWS Personalize could be a great tool to use. AWS Personalize is an Amazon Web Services (AWS) service that allows you to build personalized experiences for your customers by using machine learning algorithms to analyze their behavior and preferences.

One way you could use AWS Personalize for targeting students is by setting up a personalized search feature on your platform. This could allow students to easily find relevant content and resources within the platform, without having to worry about their data being shared or compromised.

To set up a personalized search feature with AWS Personalize, you'll need to first gather data on your students' search queries and interactions with your platform. This data can be used to train the machine learning algorithms that power AWS Personalize, so that it can better understand each student's individual needs and preferences.

Once you have this data, you can use AWS Personalize to build a personalized search feature that presents students with relevant results based on their past behavior and preferences. This could help improve the overall user experience on your platform, as students will be able to find what they're looking for more easily.

Pinpoint a specific segment When you create a campaign, you choose a segment to send that campaign to. A segment is a group of your customers that share certain attributes. For example, a segment might contain all of your customers who use version 2.0 of your app on an Android device, or all customers who live in the city of Los Angeles. You can send multiple campaigns to a single segment, and you can send a single campaign to multiple segments.

There are two types of segments that you can create in Amazon Pinpoint:

1.Dynamic segments – Segments that are based on attributes that you define. Dynamic segments can change over time. For example, if you add new endpoints to Amazon Pinpoint, or if you modify or delete existing endpoints, the number of endpoints in that segment may increase or decrease. For more information about dynamic segments, see Building segments.

Imported segments – Segments that are created outside of Amazon Pinpoint and saved in CSV or JSON format. When you create an imported segment, you upload your files to Amazon Simple Storage Service (Amazon S3). Amazon Pinpoint retrieves the files from Amazon S3 and creates new endpoints based on the contents of those files. Imported segments are static—they never change. When you create a new segment, you can use an imported segment as a base segment, and then refine it by adding filters. For more information about importing segments,

Overall, AWS Personalize is a powerful tool for targeting students and building personalized experiences on an education platform, all while keeping their data in privacy mode. Whether you're looking to improve search functionality or create more personalized recommendations, AWS Personalize can help you achieve your goals.

Using EC2-Deep Learning AMI - connecting to G Co1ab issues and solutions

Raqs — Sat, 21 Aug 2021 19:46:36 +0000

Jupyter notebooks are one of the important tools used by data scientist, DevOps and Data Analyst in building models. There are issues using notebooks when ran into long asynchronous task typical in deep learning model can take a long hours and times out errors.

This article cite challenges that author encounter from sources on connecting EC2 Deep Learning AMI Ubuntu 18.04 to Google Colab local host.

What are the AWS resources needed?

AWS Documentation : "AWS Service Quotas" to check your EC2 resource limits https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-resource-limits.html

2.) Prepare to load your private key from EC2 using PuttyKey Generator save your private key. Then open putty configuration to SSH your ec2 instance

What are the challenges ?

1.) Error message when type 'jupyter notebook'' "[W 18:22:04.741 NotebookApp] No web browser found: could not locate runnable bro wser.[C 18:22:04.741 NotebookApp]"

Solution#1:
Input in command line 'pip install --upgrade
'jupyter_http_over_ws>=0.0.7 && jupyter serverextension enable --py jupyter_http_over_ws

Then input again in command 'jupyter notebook \
--NotebookApp.allow_origin='https://colab.research.google.com'

--port=8888 --NotebookApp.port_retries=0'

2.) For this error: [C 18:13:01.047 NotebookApp] Bad config encountered during initialization: The 'kernel_spec_manager_class' trait of instance must be a type, but 'environment_kernels.EnvironmentKernelSpecManager' could not be imported.

Solution#2: input in command line # means "number of line"
# pip list|grep jupyter|cut -f 1 -d ' ' | xargs pip install -U --force-reinstall
# jupyter nbextensions__configurator enable --user
# jupyter serverextension enable --py jupyter_http_over_ws enable --user
# jupyter serverextension enable --py jupyter_http_over_ws
# jupyter notebook

3.) Troubleshooting local connection - ensure that jupyter_http_over_ws_enabled and updates on your instance.

'''pip install --upgrade jupyter_http_over_ws>=0.0.7 && \
jupyter serverextension enable --py jupyter_http_over_ws'''

Moreover jupyter should be running on port 8889 and accepting http request from G co1ab

Now, connect to Google collab in the top right then select Connect to local runtime. Enjoy Deep learning model proessing!

'''jupyter notebook \
--NotebookApp.allow_origin='https://colab.research.google.com' \
--port=8889 \
--NotebookApp.port_retries=0'''

Here's all copy of screenshot of steps above and reference :
https://colab.research.google.com/drive/1A9-z1iqrc81IaLacd4m7DiqOmSY3ccTL#scrollTo=cgescazxASML&forceEdit=true&sandboxMode=true

DONT FORGET TO STOP YOUR EC2 INSTANCE!!!!

EDA 101-Using AMAZON QUICKSIGHT without calculation.

Raqs — Fri, 18 Jun 2021 15:29:24 +0000

It has been 34 days since I started in AWS Community Builders Program wherein it offers technical training to use AWS services, technical mentoring, networking and free AWS Exam Voucher for AWS different level of certification for details on how to join in program and Program FAQ

Picture above: Mount Taal in my hometown -Batangas, active volcano in middle of lake.

As I continue with the data program, the work of Jared Donboch "AWS Location Service: Where my AWS Community Builders at?" steer my motivation to conduct Exploratory Data Analysis. Then sent the pdf Quicksight report file to Jason Dunn/Program Manager and received a ("Fantastic!") replied.

This just a simple start that boost energy to record a video walkthrough AMAZON Quicksight

The motivation problem

1.) How many AWS Community Builders Program members are in each region as of Q2 2021?
2.) What total AWS Community Builders Members Top "N" by Country each region?

Theoretical background Exploratory data analysis is a critical first step in analyzing the data from an experiment. Here are the three main reasons we use the EDA technique: detection of anomalies, checking the assumptions and determine relationships among the explanatory variables.

Conduct dataset cleaning wherein identify which Country in the region. Then use AMAZON Quicksight to conduct exploratory analysis using univariate.

What is AMAZON Quicksight?

1.) QuickSight is serverless and can automatically scale to tens of thousands of users without any infrastructure to manage or capacity to plan immediately. It is also the first BI service to offer pay-per-session pricing, where you only pay when your users access their dashboards or reports, making it cost-effective for large scale deployments.

2.) Working with Visual Types in Amazon Quicksight offers a seamless display of your data. Check the Documentation here

Data insight-The answer
-How many AWS Community Builders Program members are in the Top 5 region as of Q2 2021?
-> There are 1,228 members globally in the Top 5 region with most member US, South Asia, UK, Southeast Asia, Asia

-What total AWS Community Builders Members Top "N" by Country each region?
->In the demo video set the parameter to Top 20 AWS Community Members around the world.

Since I use univariate analysis, the result of the Q2 2021 ACB members shows that the program spreads in region and continue to grow.

Thank you for reading, and feel free to comment below or email if you have an inquiry or need further explanation.