Gray stock: Wallstrbet short squeeze | 3 million short volume | 20 million volume | June 10 2021 | over 80% gains

June 10, 2021

Introduction

There was 40% of short float this morning, and then short squeeze started sometime around 12:00 PM. I have to work on a short research and figure out what is going on. I have to gather some data and then look into possible trend in next two days. 

My position | Ameritrade.com account 

Yahoo -> Finance -> Portfolio 

Yahoo -> Finance -> Historical data

Fintel.com | Short interest | short volume | https://fintel.io/search?search=graybug+vision+

Short interest

https://fintel.io/ss/us/gray

Latest Market Date	2021-06-10
Short Volume	3,510,615
Market Volume	19,563,900
Short Volume Ratio	18%

----

Graybug vision inc - Google search 

Yahoo -> Finance -> Conversation

• 5 hours ago

  Wallstrretbets dumped CLOV and load up GRAY today.👍👍👍
  They will drive up GRAY to $20 tomorrow or next days as did with CLOV.
• 

  5 hours ago

  🔊🔊🔊~The SHORT SQUEEZE PARTY HAS JUST BEGUN !!~~
  Don't missed this ,Wallstreetbets betting this MEME to $19~$20

6 hours ago

can anyone tell me what is driving the stock up?? I am looking for the news online but have had no luck finding anything

6 hours ago

Wallstreetbets are betting this highly shorted stock for short squeeze after CLOV yesterday.
CLOV went up $27 from $7 stock yesterday+ past few day tradings.
GRAY can hit $19 tomorrow too.

Needham | Analyst Serge Belanger | 96% upward, $30 target price

Needham的分析师Serge Belanger对该股票进行了初步报道，他这样评价GRAY:“尽管40%-50%的患者反应不充分，而且治疗负担会影响患者的依从性，但作为视网膜疾病的标准治疗，抗vegf疗法带来了约120亿美元的销售额。我们相信该公司的gmp -102可以通过差异化的作用机制和更长的给药间隔来颠覆抗vegf市场。明年上半年的ph 2b试验数据将代表最近期的价值驱动催化剂。”

根据他的观点，Belanger给这只股票评级为买入。他的30美元的目标价代表着来年令人印象深刻的96% 的上行潜力。

Insider trade 

Here is the link. 

Book reading | Programming Hive | Jason Rutherglen | Summer time and books to read

June 9, 2021

Introduction

I like to plan to read a book called Programming Hive.  It is so exciting to read a book so that I can fully relax and enjoy 2021 summer time. 

Programming Hive

I just quickly copy the introduction of the book: 

This comprehensive guide introduces you to Apache Hive, Hadoop's data warehouse infrastructure. You'll quickly learn how to use Hive's SQL dialect-HiveQL- to summarize, query, and analyze large datasets stored in Hadoop's distributed filesystem. 

I also like to copy the introduction from the book in the following:

Programming Hive introduces Hive, an essential tool in the Hadoop ecosystem that

provides an SQL (Structured Query Language) dialect for querying data stored in the

Hadoop Distributed Filesystem (HDFS), other filesystems that integrate with Hadoop,

such as MapR-FS and Amazon’s S3 and databases like HBase (the Hadoop database)

and Cassandra.

Most data warehouse applications are implemented using relational databases that use

SQL as the query language. Hive lowers the barrier for moving these applications to

Hadoop. People who know SQL can learn Hive easily. Without Hive, these users must

learn new languages and tools to become productive again. Similarly, Hive makes it

easier for developers to port SQL-based applications to Hadoop, compared to other

tool options. Without Hive, developers would face a daunting challenge when porting

their SQL applications to Hadoop.

Still, there are aspects of Hive that are different from other SQL-based environments.

Documentation for Hive users and Hadoop developers has been sparse. We decided

to write this book to fill that gap. We provide a pragmatic, comprehensive introduction

to Hive that is suitable for SQL experts, such as database designers and business analysts.

We also cover the in-depth technical details that Hadoop developers require for

tuning and customizing Hive.

Day one | over three hours reading

I spent the first day to work on the book. It is so exciting to learn HIVE and HIVE SQL scripts. 

Three papers to read | GFS | MapReduce | Bigtable

 In 2003, Google published a paper titled “The Google File System”. This scalable distributed

file system, abbreviated as GFS, uses a cluster of commodity hardware to store

huge amounts of data. The filesystem handled data replication between nodes so that

losing a storage server would have no effect on data availability. It was also optimized

for streaming reads so that data could be read for processing later on.

Shortly afterward, another paper by Google was published, titled “MapReduce: Simplified

Data Processing on Large Clusters”. MapReduce was the missing piece to the

GFS architecture, as it made use of the vast number of CPUs each commodity server

in the GFS cluster provides. MapReduce plus GFS forms the backbone for processing

massive amounts of data, including the entire search index Google owns.

What is missing, though, is the ability to access data randomly and in close to real-time

(meaning good enough to drive a web service, for example). Another drawback of the

GFS design is that it is good with a few very, very large files, but not as good with

millions of tiny files, because the data retained in memory by the master node is ultimately

bound to the number of files. The more files, the higher the pressure on the

memory of the master.

So, Google was trying to find a solution that could drive interactive applications, such

as Mail or Analytics, while making use of the same infrastructure and relying on GFS

for replication and data availability. The data stored should be composed of much

smaller entities, and the system would transparently take care of aggregating the small

records into very large storage files and offer some sort of indexing that allows the user

to retrieve data with a minimal number of disk seeks. Finally, it should be able to store

the entire web crawl and work with MapReduce to build the entire search index in a

timely manner.

Being aware of the shortcomings of RDBMSes at scale (see “Seek Versus Transfer”

on page 315 for a discussion of one fundamental issue), the engineers approached

this problem differently: forfeit relational features and use a simple API that has basic

create, read, update, and delete (or CRUD) operations, plus a scan function to iterate

over larger key ranges or entire tables. The culmination of these efforts was published

in 2006 in a paper titled “Bigtable: A Distributed Storage System for Structured Data”,

two excerpts from which follow:

Bigtable is a distributed storage system for managing structured data that is designed to

scale to a very large size: petabytes of data across thousands of commodity servers.

…a sparse, distributed, persistent multi-dimensional sorted map.

It is highly recommended that everyone interested in HBase read that paper. It describes

a lot of reasoning behind the design of Bigtable and, ultimately, HBase. We will, however,

go through the basic concepts, since they apply directly to the rest of this book.

HBase is implementing the Bigtable storage architecture very faithfully so that we can

explain everything using HBase. Appendix F provides an overview of where the two

systems differ.

From page 16 - 17, Book: HBase definitive guide -> Chap 1, building blocks, Backdrop 

Book reading | HBase definite guide | Lars George | System design

June 8, 2021

It is the first time I try to read the book called HBase definite guide. I plan to read as many pages as possible this week. 

Follow up

June 16, 2021

I like to continue to read the book. I spent over three hours to read, and it is most efficient way for me to train myself to read a book, and understand how a well-written book can make difference in terms of teaching and sharing. I like to focus on basics and learn from the authors as my role models. 

Cloud computing | Meet 13 Important Influencers in Cloud Computing Today | By Shivam Arora | My 30 minutes study

June 7, 2021

Here is the article. 

According to an article published by ComputerWeekly, cloud computing as a concept dates back to the 1960s, but it wasn’t until the 1990s that we had the bandwidth to make it a reality for the masses. Since then, cloud computing has become commonplace in IT, and the worldwide public cloud services market continues to grow at a rapid pace. In the meantime, the technologies and iterations also continue to expand, with cloud service providers like Amazon Web Services (AWS) continuously developing new services to improve upon existing cloud capabilities.

With all the forward movement and change that is typical of the cloud computing space, IT professionals are challenged to stay on top of the latest news and developments, which is why cloud computing influencers play such an important role. Some are influencers at the forefront, journalists who report on cloud computing news and keep people informed. Some are behind the scenes, not tweeting about the latest developments but actually leading the efforts to bring them about. Others are influencers because their strong social media presence gives them an expansive audience.

In the list of cloud computing influencers below, we’ve tried to bring you a mix of all of the above, from the journalist to the technologist to the evangelist. We’ve also looked across the playing field to bring you influencers from some of the major providers, including AWS, Azure and Digital Ocean.

Use this list to find the influencers most relevant to your position in cloud computing.

1. Vanessa Alvarez

Vanessa Alvarez is currently with Microsoft, leading the go-to-market strategy for hybrid cloud with Azure. She has also worked at AWS and Forrester. She has been an active member of CloudNow since its founding, and she has repeatedly been named a top woman in cloud computing. She also strives to bring more women and Latinos into the technology field.

2. Jeff Barr

Jeff Barr is the Senior Evangelist at Amazon Web Services which almost makes him an influencer by default. Jeff has been a critical member of the AWS team from the start. As an evangelist, he encourages developers to create new and innovative applications using AWS and has been maintaining the AWS blog since 2004. To date, he has written over 2,500 blog posts that are interesting as well as informative, as he spreads the word about the latest and greatest AWS offerings.

3. Gordon Davey 

As Gordon Davey himself puts it, he is busy “explaining cloud computing with a Scottish accent,” while on social media. He must be doing it well because he has been ranked among Onalytica's list of Top 100 Cloud Influencers on Social Media as a result. Formerly with Dell as the UK Cloud Strategy Director, Gordon is now Head of Cloud Architecture at Willis Towers Watson. Gordon strives to help organizations to understand how to use cloud computing effectively, by simplifying the message and raising awareness of the possibilities.

4. Marc Weaver

Marc Weaver is a certified AWS Solutions Architect who first spent over 15 years as a database administrator for investment banks. In 2015, Marc founded his company databasable to concentrate on the areas of technology that he was most passionate about; databases and cloud computing. With a core concentration on AWS, databasable helps companies make their businesses more efficient, secure and cost-effective. Marc is also a cloud computing advisor for Simplilearn, where he authors courses on AWS solutions architecture and database migration.

5. Duncan Epping

Duncan Epping is the Chief Technologist at VMware, a leading cloud provider. There he works as the lead evangelist, connecting the R&D team with customers, partners, and the field. He focuses on defining and communicating the company’s storage and availability vision and strategy and is decidedly an expert in the field, with 5 patents granted and 1 patent pending on the topic of availability, storage, and resource management. Duncan is also a prolific author and blogger, having been voted one of the most influential people within the virtualization industry.

6. Bernard Golden

Bernard Golden is the Vice President of Strategy at ActiveState and someone who appears on quite a few lists of cloud computing influencers, as he is also an avid cloud blogger for CIO. Bernard has been named one of Wired’s top ten most influential people in cloud computing, and he is the author of several books, including “Virtualization for Dummies” and “Amazon Web Services for Dummies.”

7. Scott Guthrie

Scott Guthrie is the Executive Vice President of the Cloud and Enterprise Group at Microsoft. In that role, he heads the Microsoft Azure team, and he is responsible for the cloud, server, database, business apps, security, management, and development tools businesses. Scott as an influencer is someone striving to move Azure forward to capture more of the market share currently dominated by AWS.

8. Lydia Leong 

Try to find a list of cloud computing influencers that doesn’t mention Lydia Leong. As one of the first analysts to cover cloud technology and its rise to popularity, and today the resident cloud expert at Gartner, she is a proven force in the industry. As a researcher and technology analyst at Gartner, Lydia covers cloud computing as well as other topics such as Infrastructure as a Service, data centers, hosting, content-delivery networks and other topics related to the transformation of IT organizations transitioning to the cloud.

9. Tamara McCleary

As the CEO of Thulium, Tamara McCleary is not a cloud computing expert, but her social media dominance makes her an influencer in many technology domains. Tamara is an international branding expert, technology futurist, and digital marketing strategy consultant. She is ranked by Klear in the Top 1% of global Social Media Influencers and she is regularly listed as one of the Top 50 Social Influencers by Onalytica. She was named the #1 Most Influential Woman in MarTech by B2B Marketing.

10. Lori MacVittie

As the Senior Technical Marketing Manager at F5, Lori MacVittie drives education and evangelism across F5’s solution set. Lori is a subject matter expert on cloud computing, cloud and application security, and application delivery. Her blog has led to her recognition as one of the top 50 bloggers on cloud computing, and she is the co-author of the book “The Cloud Security Rules.”

11. Manjula Talreja 

Manjula Talreja is one of those behind-the-scenes influencers who give those on Twitter something to tweet about. Currently, the Vice President of Global Cloud Business Development at Cisco, Manjula develops new business models and partnerships with technology vendors, service providers and integrators working in the cloud market. Considered one of Cisco’s cloud computing thought leaders, she’s known for her expertise in both the technical and business aspects of the shift to cloud computing.

12. Ian Moyse

Ian Moyse is an experienced cloud salesperson and a dominant social influencer in the cloud computing domain. His cloud computing activity on Twitter earned him the #1 Social Media influencer spot on Onlytica’s list. Ian is also a popular keynote speaker on the topic, and he guest blogs for Oracle, Equinix, Cloudtech, and Maximiser.

13. David Skok 

David Skok is another top cloud computing social media influencer on Twitter, and a venture capitalist investing in cloud computing technology, as well as SaaS and infrastructure software companies. David is a serial entrepreneur, the founder of MatrixPartners, and the author of the forENTREPRENEURS.

Conclusion

Although it started 50 years ago as a nebulous idea, cloud computing is now the way we do IT, and it will continue to evolve as subject matter experts work to overcome obstacles and continually improve the effectiveness and efficiencies of cloud computing, whether they are working at a provider like AWS or Azure, or in-house as a client of one of the major providers. Through these activities cloud computing influencers will continue to either bring about the changes or bring them to our awareness, so we can all move forward towards better infrastructure, services, processes, and security…because a rising tide really does lift all boats.

AWS Solutions Architect Roles and Responsibilities | By Shivam Arora | My 20 minutes study

June 7, 2021

Cloud computing is dominated by two major players: Amazon Web Services (AWS) and Azure. Of the two, AWS has a significantly larger market share, with a 47.1 percent share of the cloud computing market (a 42 percent increase over the previous year). Since AWS is by far the largest cloud computing service provider in the world today, a job as an AWS Solutions Architect is one with plenty of promises and pay.

Companies are clamoring for skilled cloud computing and AWS employees. LinkedIn reported that “cloud and distributed computing” topped the list of sought-after skills in both 2016 and 2017. Dice reported that job listings for the AWS cloud platform increased by 76 percent between 2015 and 2016. For those who are qualified for these jobs, the salaries are high: BusinessInsider lists 12 jobs in cloud computing that pay over $100,000 annually.

You probably know working as an AWS Solutions Architect (SA) will mean you use your skills and expertise to help develop advanced cloud-based solutions and migrate existing workloads to the cloud. But what does that really look like, when you’re looking at a typical day in the life of an AWS Solutions Architect? What can you expect once you have the training and land the job? Read on to find out. The AWS cloud platform powers a huge number of businesses in and around 190 countries, and AWS certified Solutions Architects average about $126,000 per year. Professionals with AWS certification have an in-depth understanding of AWS architectural principles and services. They can plan, design, and scale AWS cloud implementations using the best practices recommended by Amazon.

In this article we will cover the following topics that will give you a clear idea of all that is required to become an AWS solution architect:

• Meetings with sales and customers
• Problem solving 
• Variety
• Time management
• Staying current

Meetings With Sales and Customers

As an AWS Solutions Architect, your job will involve just that: architecting solutions. Therefore, part of your days will be spent meeting the sales and/or customers. These might be in-person meetings or being part of conference calls so you can learn about the problems and needs. This depends on which company you’re working for, and your exact role within the company. Some AWS Solutions Architects are focused more on products and not on the customers. Although most work to help design solutions for customer problems.

The work you do for customers will also depend on where you’re working and what your tasks are, as well as where the customer is in their level of AWS adoption. They could be in the early stages so you’re having high-level talks, or farther along or even into the implementation. All of that comes into play.

Problem Solving 

As we said above, a major part of your job will be designing solutions to meet customer needs and business goals, developing technical solutions and pre-sales deliverables in support of customer goals. So part of your day will be spent on what we’re cheekily calling “problem-solving.” As the SA, you’ll formulate solution plans and provide guidance on AWS architectural best practices. You’ll estimate costs and identify cost control mechanisms, as well as select the appropriate AWS service based on data, compute, database or security requirements.

You’ll probably spend part of your days on the design and arrangement of scalable, highly attainable, and fault-tolerant systems on AWS. You’ll identify the lift and shift of an existing on-premises application to AWS. Along with this, you’ll have to decipher the ingress and egress of data to and from AWS. You might also be called on to provide guidance on issues such as performance, cost, disaster recovery or security concerns.

Variety

Now, all of that above might make it sound like your days will be fairly predictable, but they probably won’t be. That’s because a typical day for an AWS Solutions Architect involves too many different tasks. You might spend part of the day reviewing existing environments or planning new ones. Depending on where you’re working and your exact role, you could be in meetings or even traveling to onsite meetings with customers. You might write scripts, work on migrations, keep up with new AWS features, or troubleshoot. You’ll probably work with other teams in-house too, including sales of course, but also engineers.

Time Management

With all of the variety in your typical day, you’ll need excellent time management skills. Planning your day, managing your time on tasks, prioritizing your time on projects—this too will probably be part of your typical day as an AWS Solutions Architect.

Staying Current

AWS is like any other technology: constantly evolving. That means part of your typical day might involve learning and researching new services and features launched by AWS, as well as staying on top of best practices to improve existing AWS solutions already in place. You’ll definitely have blogs or discussion boards you’ll turn to where trusted experts fill you in on updates and best practices, or other SAs debate ways to overcome challenges. If you’re already working as an AWS Solutions Architect, you might need additional training to ensure you’re current with the solution and recent changes.

Getting Started

Does this typical day sound like a workday you would enjoy? Working at a career that offers plenty of variety, a fast pace, and the opportunity to help businesses solve problems? If so, take the first step by getting trained with the AWS Solution Architect Certification Training Course. You’ll learn the key concepts, latest trends, and best practices for working with the AWS architecture, as you become an industry-ready AWS certified Solutions Architect ready for your first job. Practice assignments and live projects give you hands-on experience with the AWS management console. This way you get an overview of the AWS platform and also dive into its individual elements: IAM, VPC, EC2, EBS, ELB, CDN, S3, EIP, KMS, Route 53, RDS, Glacier, Snowball, Cloudfront, Dynamo DB, Redshift, Auto Scaling, Cloudwatch, Elastic Cache, CloudTrail, and Security.

Conclusion

The career outlook for an AWS Solutions Architect is outstanding. In addition to the many jobs available to you right now, you’ll probably become a sought-after professional with options to move up the career ladder or move to another organization once you’re in the field and proving yourself to be a knowledgeable and experienced professional.

Actionable Items

1. Plan to spend three hours a week to watch AWS online tech talks; 
2. Get familiar with AWS in next three months - spend at least 100 hours to study; 
3. Find best learning resource on youtube.com. 
4. Find good articles to read about AWS architect. 

Top AWS Certification for Developers | By Simplilearn | My 20 minutes study

June 7, 2021

I like to challenge myself to learn more about AWS and cloud solution provide by Microsoft as well. I like to read basics and then think about how to make good plans. 

Top AWS Certification for Developers

By SimplilearnLast updated on Jun 1, 2021

Top AWS Certification for Developers

By SimplilearnLast updated on Jun 1, 20214349

Amazon Web Services (AWS) training and certification help candidates to validate and build their cloud skills. Allowing them to contribute to the transformation of businesses who are overwhelmingly migrating to cloud computing For those that want a career path in AWS, there are many questions about the AWS certification for developers, including how many certifications there are, what is the cost of AWS exam and training, how long it takes to be certified, what kind of jobs are available, etc.

To help you navigate the options AWS affords the information enclosed in this article with aid you in understanding the general principles of AWS, what certifications are available, and the best path for most aspiring AWS developers.

AWS certification is officially divided into four categories, with each category having a specific area of expertise. There are 10 different AWS certifications (as of writing this article) as shown below.

AWS Certification

• AWS FOUNDATIONAL LEVEL CERTIFICATION

  Includes one:
  
  AWS Cloud Practitioner - Foundational
  
  Scope: A basic understanding of AWS and the services it offers.
  Prerequisites: None

• AWS ASSOCIATE LEVEL CERTIFICATIONS

  Includes three:

1. AWS Solutions Architect – Associate
2. AWS SysOps Administrator – Associate
3. AWS Certified Developer – Associate

• AWS PROFESSIONAL LEVEL CERTIFICATIONS

  Includes two:

1. AWS Solutions Architect - Professional
2. AWS DevOps Engineer - Professional
   
   Scope: A more detailed understanding of each of the different facets of AWS

• AWS SPECIALTY CERTIFICATIONS

        Includes four:

1. Advanced Networking - Specialty
2. Security - Specialty
3. Big Data - Specialty
4. Machine Learning - Specialty

Scope: A detailed understanding of one specific area of expertise in AWS

From foundational to the professional level, all of these certifications offered by AWS are role-based and are designed specifically for developers, solutions architect, and system operations administrators.

Importance of AWS Certification

If you were to ask about the status of AWS certification back when it was launched in 2013, most people would give you a conservative forecast about its popularity in 2019. In just six years, AWS certifications have garnered significant support and demand. The support and demand are indicated by the high number of testing centers around the globe, as well as the multiple languages that offer an AWS course.

Today, the growth and support are predicted to continue for the foreseeable future as more and more enterprise and SMBs (small and medium businesses) continue to adopt cloud computing and the public cloud as a core part of their technology stack. In fact, most professionals and organizations alike see AWS as a thought leader and a point of reference in the cloud computing space because they are the most mature and reliable provider.  

Further evidence of the importance of AWS is what employers are willing to pay AWS professionals. In short, within a relatively short time, AWS certifications have managed to command top salaries when compared to other IT skills.

According to the 2018 IT salary skills report, conducted by Global Knowledge, the highest average IT salaries globally, are as follows:

1. Business Architecture (e.g., TOGAF) Av. Salary $87,863
2. Governance (e.g., COBIT, CGEIT) Av. Salary $84,420
3. Amazon Web Services (AWS) Av. Salary $84,108
4. Knowledge Management (e.g. KCSF, KCSP) Av. Salary $82,823
5. Security and Privacy (e.g., CEH, CISA, CIPM, CISSP) Av. Salary $82,652

If you are interested in obtaining an AWS certification, below is some useful information that will help you understand the different paths you can follow.

AWS Developer

AWS developer certification ensures that candidates can create and maintain applications running on AWS.

• AWS Certified Developer- Associate
• AWS Certified DevOps Engineer-Professional

AWS Solutions Architect

AWS Solutions Architect certification ensures that candidates can design distributed applications and systems on AWS.

• AWS Certified Solutions Architect - Associate
• AWS Certified Solutions Architect - Professional

AWS SysOps Administrator

AWS SysOps Administrator certifications ensure that candidates can provide, operate, and manage distributed application systems on AWS.

• AWS Certified SysOps Administrator - Associate
• AWS Certified DevOps Engineer - Professional

Specialty Certifications

AWS specialty certifications ensure that candidates have unique skill and expertise in specific IT areas while working in AWS.

• AWS Certified Big Data - Specialty
• AWS Certified Security - Specialty
• AWS Certified Advanced Networking - Specialty
• AWS Certified Machine Learning - Specialty

Below is detailed information for those that are inclined to pursue AWS certification for developers.

AWS Certification for Developers

Let us discuss what certifications are ideal for developers and details regarding them.  

AWS Certified Developer – Associate

The AWS Developer Associate certification is meant for software developers with at least one year of experience in the design and maintenance of applications on the AWS platform. Candidates must have an in-depth working knowledge of one or more high-level programming languages.

What Are the Important Areas Covered in the Certification?

• Writing code that interacts with AWS services by using APIs, SDKs & AWS CLI.
• Write code for serverless applications
• Choosing the right AWS services for migrating an existing application or optimizing application by using AWS services & features.
• Code-level application security (including encryption, IAM roles, credentials, etc.)
• Deploy code/application using CI/CD services

Prerequisites

The skills and knowledge required before undertaking this certification include:

• 1+ years of hands-on experience in the development and maintenance of AWS-based applications
• Comprehensive knowledge of more than one high-level programming language
• An understanding of foundational AWS including, use and best practices
• Proficiency in development and deployment of AWS cloud-based solutions
• Practical experience and knowledge in developing and maintaining applications programmed for Amazon DynamoDB, Amazon Simple Queue Service, Amazon Simple Storage Service, Amazon Simple Notification Service, AWS CloudFormation and AWS Elastic Beanstalk
• Hands-on coding experience with AWS APIs
• Understand AWS deployment tools and automation
• Understand of storage options and consistency models
• In-depth knowledge of one or more AWS SDKs

General IT Knowledge

• Understand stateless and loosely coupled distributed applications
• Basic understanding of RESTful API interfaces
• Basic understanding of databases (relational and non-relational)
• Basic knowledge of messaging and queuing services
• Knowledge of RESTful Web Services, XML, and JSON
• Basic knowledge of the software development lifecycle
• Practical experience with application security (including X.509 certificates, public key encryption, access credentials, and SSH)

Key features

• $299
• 28 hrs. of instructor-led training
• Three simulation exams and 16 live demos of AWS services
• Three hands-on practice projects using AWS console
• Practice assignment after every lesson

Exam Fee and Recertification

• Exam Registration Fee: $150
• Recertification is required every two years (email notification is sent to the candidate 6 months before the expiry of the certification credential)
• Recertification is done either by taking another exam  or by passing a professional-level exam (AWS Solutions Architect – Professional/AWS DevOps Engineer - Professional)

Exam Duration and Structure

• 80 min.
• Multiple-choice questions

Actionable Items

1. Learn from AWS online tech talks, and watch as many talks as possible. I also need to read more articles and learn by myself. 
2. Stay confident and learn from best engineers in the world through those talks. 
3. Enjoy learning first and then I will figure out how to apply those knowledges in the future development. 

Amazon cloudwatch | My 10 minutes study

 Amazon CloudWatch is a monitoring and observability service built for DevOps engineers, developers, site reliability engineers (SREs), and IT managers. CloudWatch provides you with data and actionable insights to monitor your applications, respond to system-wide performance changes, optimize resource utilization, and get a unified view of operational health. CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, providing you with a unified view of AWS resources, applications, and services that run on AWS and on-premises servers. You can use CloudWatch to detect anomalous behavior in your environments, set alarms, visualize logs and metrics side by side, take automated actions, troubleshoot issues, and discover insights to keep your applications running smoothly.

Observability on a single platform across applications and infrastructure

Modern applications such as those running on microservices architectures generate large volumes of data in the form of metrics, logs, and events. Amazon CloudWatch enables you to collect, access, and correlate this data on a single platform from across all your AWS resources, applications, and services that run on AWS and on-premises servers, helping you break down data silos so you can easily gain system-wide visibility and quickly resolve issues.

Easiest way to collect metrics in AWS and on-premises

Monitoring your AWS resources and applications is easy with CloudWatch. It natively integrates with more than 70 AWS services such as Amazon EC2, Amazon DynamoDB, Amazon S3, Amazon ECS, Amazon EKS, and AWS Lambda, and automatically publishes detailed 1-minute metrics and custom metrics with up to 1-second granularity so you can dive deep into your logs for additional context. You can also use CloudWatch in hybrid cloud architectures by using the CloudWatch Agent or API to monitor your on-premises resources.

Improve operational performance and resource optimization

Amazon CloudWatch enables you to set alarms and automate actions based on either predefined thresholds, or on machine learning algorithms that identify anomalous behavior in your metrics. For example, it can start Amazon EC2 Auto Scaling automatically, or stop an instance to reduce billing overages. You can also use CloudWatch Events for serverless to trigger workflows with services like AWS Lambda, Amazon SNS, and AWS CloudFormation.

Get operational visibility and insight

To optimize performance and resource utilization, you need a unified operational view, real-time granular data, and historical reference. CloudWatch provides automatic dashboards, data with 1-second granularity, and up to 15 months of metrics storage and retention. You can also perform metric math on your data to derive operational and utilization insights; for example, you can aggregate usage across an entire fleet of EC2 instances.

Derive actionable insights from logs

CloudWatch enables you to explore, analyze, and visualize your logs so you can troubleshoot operational problems with ease. With CloudWatch Logs Insights, you only pay for the queries you run. It scales with your log volume and query complexity giving you answers in seconds. In addition, you can publish log-based metrics, create alarms, and correlate logs and metrics together in CloudWatch Dashboards for complete operational visibility.

Day one | Google pixel 4a 5G mobile phone | log of apps installed | storage tracking

June 7, 2021

I learned from my own mistake in terms of Google app offline map concept back in Oct. 2019. I thought about so many times how to advance myself to be more efficient and productive, I do not have better ideas. One of things I can do is to use Google mobile phone, and get to know more apps by installation and my own experience, starting from Google offline map. The most challenge part is to pay for 120 GB storage first, and allow myself to install at least hundreds of apps if needed. 

Day one

I just purchased the phone from bestbuy.ca and case. I like to start to track apps installed, storage update along the way. 

June 11, 2021

14.90 GB used of 128 GB

1. Download wechat app;
2. Download sygic app, less than 50 MB; offline map - Canada map (754 MB); 
3. Download skype app, less than 50 MB;
4. Add keyboard - language - Chinese 
5. Strava tracker
6. Plan to install Wealthsimple, thinkorswim, outlook, edge, teams, BC service card, reddit, edge, whatsapp, Twitter, Zoom, GoToWebinar, LinkedIn, PowerDirector, Seeking Alpha, Skype, Wechat, Youtube, 
   Need to upload some videos and store in my own computer
7. Google map, offline map for BC and washington state - size estimation: 
8. Google map, BC Canada - 161 MB
9. June 21, 2021 After frustration of road trip using sygic, no voice interaction. I decided to make it work - google offline map; After I worked so hard, I made it work - Google offline map. Here is the blog; 
10. Continue to read more about Google map and try to get education first, make my life easy so that I can have more time since I can learn how to drive or walk comfortably with Google map rich product features.
11. Need to turn off Google pixel 4 5G location sharing - public -> private some time in short future; 

July 14, 2021

1. Download github - I can track all my documents on my mobile phone - my repository - 4G
2. Pay the service to download youtube.com workout videos.   

33.71GB used of 128 GB

1. Photo/video 2.6 GB
2. apps 18 GB
3. System 13 GB

Apps in detail

1. wechat         4.96 GB  - delete some history regularly - only keep a few
2. maps            245  MB
3. Instagram     187 MB
4. OneDrive      156 MB 

Jan. 26, 2023

Bought a USB-C dock stable, 12 in 1 

Try to connect Google phone to keyboard and monitor. 

Get specs for the mobile phone, and check the speed of CPU