Tuesday, September 7, 2021

mRNA stock | TBIO stock | missing 100% gain | Feb to Sept 2021

Sept 7, 2021


TBIO | My purchase | Missing 100% gain | Learn to hold and invest 


Here is the article. 

'It's game over. It's mRNA or nothing:' Expert on future of vaccines

 

It signals an important change in how vaccines of the future could look, according to Arnaud Bernaert, formerly head of Global Health and Healthcare at the World Economic Forum.

Bernaert, now head of Health Security Solutions at Swiss-based SICPA, told Yahoo Finance, "I think it's game over. I think it's mRNA or nothing. [Other technology] takes too long."

Pfizer, BioNTech and Moderna (MRNA) are invested in the tech, with announcements of pursuits of combination flu-covid shots as well as other diseases.

The potential for mRNA was recognized early. "mRNA vaccines represent a promising alternative to conventional vaccine approaches because of their high potency, capacity for rapid development and potential for low-cost manufacture and safe administration," according to a 2018 article in Nature.

Bernaert cited these reasons as well. "If success needs to be defined as a function of the agility of a manufacturer to be able to reposition the DNA template for combating the next variant, I don't think the U.S. and Europe will do anything else but buy mRNA vaccines" moving forward, he said.

"They [mRNA] will represent 60% or 70% of the market. The other guys will die," he added.

But the pandemic also arrived after early development hurdles had been overcome for the technology. That included the method of delivery, lipid nanoparticles. And within the timeframe of getting the vaccines authorized, Moderna was first to reduce the storage temperatures needed from ultra-cold to normal freezer temperatures.

Now, the next step to unlocking their potential as a dominant technology will be global manufacturing, Bernaert said.

"I think mRNA is going to be a highly decentralized manufacturing technology," he said.

Deals happening now could be viewed as early efforts. That includes the various manufacturing and fill/finish deals that Pfizer and Moderna have penned in the past year. 

Moderna has forged relationships with Catalent (CTLT), Switzerland-based Lonza, Spain-based Rovi, and France-based Recipharm for manufacturing. The company also partnered with Takeda (TAK) in Japan, Magenta in the United Arab Emirates and Tabuk in Saudi Arabia for distribution. It has partnered with Thermo Fisher (TMO), Sanofi (SNY), Baxter BioPharma and Samsung Biologics, in South Korea, for fill/finish. In addition, Moderna is working with Canada to set up a new manufacturing facility for future products. That's all on top of investing in its Massachusetts plant to expand manufacturing.

By comparison, pharma giant Pfizer has largely relied on its own sites in the U.S. and Europe, along with BioNTech's capacity, but recently signed agreements for global efforts. That includes with the Biovac Institute in South Africa and Eurofarma in Brazil for manufacturing. It has also partnered with Sanofi for fill/finish.

But further in the future, Bernaert expects mRNA use will lead to a decrease in the need for large-scale manufacturing footprints, "with 20,000-liter bioreactors a story of the past."

Bernaert pointed to California-based Nutcracker Therapeutics, as an example.The company is working on a smaller instrument that could give doctors access to locally-produced mRNA doses.

Already, mRNA companies have achieved improving stability at warmer temperatures compared to ultra-cold temperatures for the first doses. For now, however, the process is "crude," Bernaert said.

"The cold chain challenges will reduce, I think, over time. There will be lots of investments in better encapsulation mechanism, better lipid nanoparticles. It was very crude in the first place. I mean, let's call a spade a spade. The template itself and the way you grow enzymes, I think it's fairly crude."

He foresees synthetic biology DNA templates on the front end and better encapsulation mechanisms (lipids) on the back end. Brought together, it leads to a much more stable manufacturing process, Bernaert said.

Whatever the future holds, mRNA is set to dominate. "Viral vector technologies are going to become obsolete," Bernaert said.


How to architect an AI/ML powered Healthcare platform on Google Cloud

Sept. 7, 2021

Here is the link.

Vida Health → https://goo.gle/3mVWJnA Blog → https://goo.gle/3terhSr Ever wonder how healthcare companies deal with massive amounts of data from multiple sources? In this episode of Architecting Cloud Solutions, Priyanka Vergadia speaks with Amol Kher, VP of Engineering from Vida Health, about how they use AI and ML to manage and automate all of the tasks that aren’t member-facing, so providers can focus their time and energy on their patients. You will see them discuss the Data Analytics pipeline and their application architecture on Google Cloud. Chapters: 0:00 - Intro 1:00 - Business challenges that Vida Health set out to solve in the healthcare space. 1:39 - Why did Vida Health choose Google Cloud? 4:00 - Vida Health’s ML/AI solution built on Google Cloud 6:40 - Data Pipeline Architecture on Google Cloud 11:14 - Securing the data on Google Cloud 14:18 - Application Architecture 15:25 - How did Vida Health migrate their application to Google Cloud 17:13 - Partners & teams that helped bring this architecture to life 17:30 - New things Vida Health is exploring Healthcare API, FHIR capabilities on Google Cloud 19:35 - Summary Architecting Cloud Solutions playlist → https://goo.gle/3g7xAC9 Subscribe to Google Cloud Tech → http://goo.gle/GoogleCloudTech #ArchitectingCloudSolutions product: Cloud - Data Analytics - BigQuery; fullname: Priyanka Vergadia; re_ty: Publish;

Follow up

Sept. 10, 2021






Meme stock: Financial markets | Casinos

Sept. 7, 2021 

Here is the article.

How a Community of Redditors Uncovered the Biggest Secrets Behind GameStop’s Short Squeeze and Wall Street’s Stock Market Manipulation

Includes a link to a digital library of due diligence around the most significant financial event in history.



The biggest short squeeze of all time is coming. GameStop is going to the moon. It’s a matter of when — not if. But explaining why GameStop and other meme stocks such as AMC Theaters (AMC), BlackBerry (BB), and even zombie companies like Sears (SHLDQ) and Blockbuster (BLIAQ) are exploding is complicated, especially for those that aren’t retail traders on Reddit.

Wall Street’s dirty tactics behind manipulating GameStop and other meme stocks, were revealed over the past few months by everyday amateur people who traded stocks. These folks are called retail traders (or, as Wall Street likes to call them — dumb money). Retail trading has grown in popularity in the past few years, snowballing to 25% of all market trades in 2020. Retail trading became viral after GameStop’s first short squeeze in late January 2021.

When the first squeeze happened earlier this year, the mainstream financial news outlets described GameStop and other meme stocks as a battleground between retail investors and Wall Street — David vs. Goliath. They positioned the squeeze as a coordinated effort by social media to drive the price up. The market is “frothing,” caused by retail investors, according to JP Morgan. However, financial journalists couldn’t have gotten it more wrong.

Rising inflation. Eviction moratorium. COVID-19. And the Chinese housing market crash. These are all contributors and catalysts to the potential stock market crash, but ultimately, these are all red herrings. The stock market’s potential crash is not because of retail investors or Redditors. The fault lies with overleveraged hedge funds and market makers who made the wrong bets against retail investors and their unwavering brand loyalty. Financial institutions used shady, under-the-radar, and complicated methods such as dark pools, failure-to-delivery cycles, and shorting ETFs to hide their positions to keep the prices artificially low.

The public won’t know the actual causes for the MOASS (Mother of All Short Squeezes, as retail investors call it) with meme stocks until long after it happens. When Lehman Brothers collapsed in 2008, “everyone from bank customers to policymakers to Queen Elizabeth herself began to ask a painful question: How is it that no one saw this coming?” Financial journalists are asleep at the wheel again!

Wall Street hoped retail investors would forget about the shorted stocks. They predicted that they would get bored and move onto the next “GameStop”. They flooded the media waves with FUD (Fear, Uncertainty, and Doubt), pumping up crypto coins and weed stocks to divert the attention away from meme stocks. They programmed bots to clamor about certain stocks on social media, only to dump their positions after a run-up. Instead, their efforts to divert attention away from meme stocks created a Streisand effect. The Streisand effect is a “phenomenon that occurs when an attempt to hide, remove or censor information has the unintended consequence of increasing awareness of that information, often via the Internet.”

Community

Many retail investors got into GME/AMC for different reasons initially. For years, GameStop was dogged by predictions of its failing business model. With AMC, its future looked uncertain when COVID-19 almost destroyed the movie theater experience.

In mid-2020, a budding YouTube personality, Keith Gill, also known by his online alias Roaring Kitty or u/DeepFuckingValue, began posting online commentary about his analysis into what he believed was an undervalued stock, GME. His commentary grew popular and helped drive excitement around the company.

The frenzy behind the first squeeze in late January created intense interest, fueling growth in stock-based subreddits such as r/WallStreetBets, r/GME, r/AMCStock, and r/SuperStonk. The retail traders devoted themselves to studying the meme stocks, the stock market, and the impact hedge funds have with shorting stocks. The communities that formed consist of everyday folks from around the globe, representing diverse backgrounds and different walks of life — a stark contrast to how Wall Street and the mainstream financial news media portray the retail investors.

The subreddit communities dug in and researched as much as they could about the shorted stocks. What they found was shocking over the next few months. It was almost unbelievable. They found corruption, manipulation, and years of deceit behind the big players on Wall Street. And it definitely seems that Wall Street hasn’t learned its lessons from the 2008 crash after their abuse of the housing market.

Day-by-day and month-by-month, the meme stocks swung wildly up and down in price, but retail investors held on. “We own the float!” was a common battle cry in these subreddits. With each passing day, the retail investors increased their knowledge collectively about the stock market, or as the Redditors like to say, “becoming wrinkle brained.”

Information around naked shorting, synthetic shares, DTCC rules, and failure-to-deliver cycles became mainstream among the communities while still remaining unknown to the general public. When the squeeze happens, there will be a rush of people from media outlets to FOMO traders to understand what happened. And it all starts with the due diligence found on these subreddits, thanks to the contributions and research from these communities.

My stumble into the stock market

I’ve been an amateur retail investor since 2016. Personally, I started trading with cryptocurrencies at first. After my dabble in crypto, I downloaded Robinhood and got into stocks. I asked myself. “How hard could it be? Just sell high, buy low!”

I didn’t know what I was doing and I’m sure I wasn’t alone. US public schools have no mandatory classes on financial matters. Therefore, financial literacy is up to the parents in this country. However, my parents didn’t teach me anything about budgeting, the stock market, or investing. I only learned what a 401k was during my college years! My parents came from Vietnam in 1980 to the United States as refugees and had no knowledge about financial markets.

As I grew more interested in investing, I understood the need to do my research — my due diligence. If I was going to put money into something, I wanted to know what I was doing. I started reading CNBC more. I put Yahoo Finance on my bookmarks on my Chrome browser. I considered subscribing to “The Motley Fool” to pick the hottest stocks on the market. I threw a few hundred dollars across a few buzzy companies and called it “diversifying my portfolio.”

At work, my co-workers and I sat around at the table during lunch, discussing which industries we think would take off. “Weed? Electric cars? Apple?” It sounded like we knew what we were talking about. But we really didn’t. We were amateur traders, all in all. We had limited resources and tools at our disposal (mostly public information) to discern insights from, compared to the Bloomberg terminals and high-frequency algorithms that hedge funds and market makers have access to.

As a longtime Redditor, I had heard of r/WallStreetBets, the subreddit formed around making plays (bets) on stocks and crypto. During the 2017 crypto days, I followed r/WallStreetBets to get news around the newest and buzziest altcoins. However, I found the subreddit quite toxic at times, drawing parallels between the reckless culture pervasive on the subreddit and addictive gamblers I saw as a young man in Louisiana casinos.

During these times, it was common to see Redditors “YOLO” their savings into a particular stock. Sometimes, a few Redditors got lucky and posted massive gains. But most of the time, you see their massive losses in a screenshot. These screenshots, dubbed “loss porn,” are not as common recently since meme stocks consolidated in popularity earlier this year but still show up from time to time.

During my early amateur trading days, I chased stocks that were exploding in growth for the day, only to sell at a loss when I saw it tumbling down. I grew irritated that the stocks I was holding stayed at the same price as stocks I had considered buying or had sold a few weeks ago skyrocketed. It was as if I bought when I saw green and sold when I saw red. This was the total opposite strategy of “buy low, sell high!” that I had told myself when I began trading.

And though I knew the word “hodl,” an intentionally used typo as a meme substitute for the word “hold,” I never intentionally practiced it. I was too impatient and sold at the first sign of trouble. I didn’t even know what “bags” were because I all I did was sell at a loss. Everything was a short-term play. I didn’t know any better. I was essentially gambling, like the people I saw in those Louisana casinos years ago, hoping to strike gold.

Becoming an ape

In late January, r/WallStreetBets became viral. GameStop’s stock price soared to $347 a share. I bought into the frenzy myself, buying in at a whopping $300 a share. I didn’t buy too many shares. I wasn’t confident enough in what was going on. I had no idea what a short squeeze was at the time. I bought shares, mainly for the symbolic reason of sticking it to Wall Street.

I wanted to understand what happened. I tried to understand why brokerages, hedge funds, market makers, and banks could manipulate the stock market like this with impunity, stacking the market against the everyday American people. After reading Mark Cuban’s AMA, I grew more curious, interested, and invested in how everything was tied together regarding the squeeze. I wrote about my key takeaways from his AMA in an article on Feb 4, 2021.

In mid-February, the stock dropped from its record highs to a low $40. The stock stayed at the price for weeks. The shorting hedge funds were keeping the price down, but no one knew for certain at the time.

I was down a lot. I saw red and grew anxious, actively reminding myself to never sell at a loss. Like many other meme stock Redditors (nicknamed lovingly as apes on the stock subreddits), I held onto my shares tightly. I had to believe in the stock. I had to believe retail owned the float. I had to believe Ryan Cohen was going to turn the company around.

Still, doubt lingered. I doubted if I was doing the right thing by holding onto baggage like that. I grew desperate for new information to validate our theories about retail owning the float. I wanted to be reassured. And the community pulled through.

SuperStonk

I started to read great due diligence, written by savvy and observant Redditors lifting the curtain behind Wall Street’s biggest secrets. I browsed r/WallStreetBets religiously, making it a part of my morning, lunch, and after-work ritual. I was on my phone so much that my wife noticed and remarked, “You’re on your phone a lot. It’s kinda sus.”

I grew more convinced of my decision, thanks to the research and the FUD and blatant cover-ups conducted by shorting hedge funds and market makers.

Throughout late March and early April, a series of events and mod drama on r/WallStreetBets resulted in what was called “The Great Ape Migration,” an exodus of retail traders who were invested with GME, to move to another subreddit called r/GME, named after the stock itself.

A few weeks later, mod drama blew up r/GME as well and the “Second Great Ape Migration” resulted in many Redditors moving to r/SuperStonk. I remember clicking the join button of r/SuperStonk and seeing about 2,000 community members at the time. 24 hours later, the subreddit blew up into the hundreds of thousands. I couldn’t believe it. I thought to myself, “This was truly a movement!”

Though the drama in these subreddits didn’t stop, the community’s commitment to GME was evident. The community was united in their love for the stock and encouraged evidence-based discussion and debate. The mods did their best to keep bots and “shills” out. And the due diligence kept coming in from a variety of Redditors in a variety of different formats.

Detailed posts like u/atobitt’s House of Cards and YouTube AMAs (Ask Me Anythings) from financial experts like Dr. Susanne Trimbath helped shed more information about Wall Street’s corruption and how they’ve been allowed to treat our financial markets like casinos, at the expense of companies and people alike. The analysis kept validating itself and made more sense with each passing day.

The community’s resolve hasn’t wavered, despite Wall Street’s belief that retail “investors will get bored of GameStop.” They held on.

Red pill or blue pill?

I asked a friend one day who was familiar with the situation behind GameStop. “Do people think we’re the crazy ones? Or do people think we’re crazy?” He agreed with the latter of my two questions.

Talking to people about GameStop’s stock received lots of ridicule from friends, family, and acquaintances alike. A co-worker said to me, “You haven’t sold your GameStop’s shares yet? Are you crazy?”

“There’s no way it can be squeezed to that price,” a friend would say.

“I want to buy in, but it’s just too risky,” was another typical response.

When I tried explaining things like naked shorting and synthetic shares to people, I sounded either more ridiculous or the words went right over their heads. The idea that retail investors own the float (possibly many times over) of GameStop’s stock due to reckless shorting done by hedge funds was an incomprehensible concept to many. The prediction that GameStop and other meme shorted stocks could go to the moon was ludicrous to those outside the retail trading community. Others believed that Wall Street is invincible, and there’s nothing retail investors can do to change that. The explanations, due diligence, arguments, and concepts were complicated to explain. I wasn’t “wrinkle-brained” enough about the inner workings of financial markets to explain why GameStop was an intelligent play.

However, there were people that were willing to take the “red pill” and were open to learning the truth, no matter how dirty and crazy it sounded. Some friends I talked to about GameStop ended up exploring the DD themselves. Many of these friends had heard about the news around GameStop’s stock price and came to me for questions and answers.

Some of them asked me, “Can you send me anything to help me understand it better?” But it was definitely hard to choose which DD to send over to them since there’s so much good content!

Why did GameStop’s stock short squeeze?

This will be a common question for years to come. The upcoming MOASS will trigger FOMO (Fear of Missing Out) among everyday folks looking to jump in. Every person and their mom will be googling questions about the biggest financial event in history.

Why did GameStop and other meme stocks go to the moon? What caused GameStop’s short squeeze? How could hedge funds create naked synthetic shares, attempt to short companies into oblivion, and accrue massive failure-to-delivers without being penalized? What is the next GameStop?

But there will not be another MOASS when all of this pops. Once the biggest squeeze in history happens, regulatory bodies will investigate to ensure it doesn’t happen again (or at least tell us they will), or financial institutions will hide their tactics better.

But the questions will still remain. I won’t be the one to answer those questions. I work in a corporate 9–5 job. I browse Reddit, blog, and write in my spare time. I’m not a financial advisor. I’m too smooth-brained (what self-deprecating retail investors call themselves when they’re out of their element).

Luckily, more capable and intelligent apes put their minds to the task, breaking down complex explanations into simple and easy-to-understand answers. The r/SuperStonk community has amassed a treasure trove of peer-reviewed research and due diligence that is publicly available. What all knowledge-seekers need to do is to start reading to get insights into the GameStop/meme stock squeeze saga!

To help readers get started, a fellow ape, u/zedinstead, put together a digital library of due diligence posts in a very creative manner. It highlights most of the due diligence that helped uncover the clues behind GameStop’s epic short squeeze. All you need to do is click on the book covers to the specific post you want to read. Here is the link to their digital library.

Alternatively, readers can also visit r/SuperStonk’s Important Posts wiki, where many key posts were saved. Another suggestion to get acquainted quickly with what’s going on is to read their Beginner’s Guide to due diligence.

Wall Street tried to suppress information through dirty tactics, but instead, created a generation of investors who sought to learn the truth about what really goes on in the stock market. The Redditors, retail investors, and apes, through the power of social media, were able to help educate each other on matters that were previously unknown to them.

As a result, retail investors are making decisions based on what they’re learning from the research. There is no manipulation from retail investors, simply knowledge sharing. Manipulation is a Wall Street weapon. What all of this really comes down to is that this is a story of community and conviction. As Keith Gill said in his Congressional hearing earlier this year, “I like the stock.”

How to mix projects to be more efficient?

Sept. 7, 2021

Introduction

I like to work on a few projects, one is to study Amazon leadership and behavior interviews, another one is to study large distributed system, and the third one is to work on algorithm and data structure, work on Leetcode premium onsite mock interviews. 

How to mix projects to be more efficient? 

I like to figure out how to be more efficient, and I really like to learn better about large distributed system this time. 


How to perform good analysis to work on commodity equity research? | My equity research project on GTE, RIG, BORR

What I wish my CIO knew about Google Cloud (Google Cloud Next '17)

Sept. 7, 2021

Here is the link.



Gaining full control over your organization's cloud resources (Google Cloud Next '17)

Sept. 7, 2021

Here is the link.

In this video, Rae Wang, Ray Colline, Lukas Karlsson, and Seth Vargo discuss how you, as an administrator, can use Google Cloud Platform's (GCP) management features, including the Organization Node, Folders, Projects, Labels, Service Accounts, IAM, Org Policy and more, to fully control your cloud resources.

Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG

Cloud Datastore 101: Overview of Google's scalable NoSQL document database (Google Cloud Next '17)

Sept. 7, 2021

Here is the link. 

Find out what Google Cloud Datastore gives you, including Cloud Dataflow integration, a browser based editor, and a cross-platform API. See how you can get started building a serverless mobile and web application using Cloud Datastore. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG

Google cloud database portfolio

  1. In memory - App Engine Memcache
  2. Relational - cloud SQL 
  3. Relational - Cloud Spanner
  4. Non-relational - Cloud datastore
  5. Non-relational - Cloud bigtable
  6. Object - Cloud storage
  7. Warehouse - BigQuery 


25:38/ 37:35

Phil Reslin, CTO Niantic labs 


How many Google IO videos to watch in next two weeks?

Sept. 7, 2021

Introduction

I like to spend time to watch Google IO videos in next two weeks. It is hard for me to find time to watch Google IO videos, and I was so surprised to learn so much from those videos in last few weeks. I like to continue to learn more before I read a few large distributed system design books. 

How many Google IO videos to watch in next two weeks?  | Probably I can finish 10 videos

I like to take some time to watch, and take some notes, and then find articles to read to help me learn Google technology bigTable and datastore. 

My learning style | Need diversification | Follow up with more videos I choose

It is better for me to diversify my learning content from different sources. I choose to focus on BigTable, so that I can fully understand one NoSQL database - bigTable. 



Google I/O 2011: More 9s Please: Under The Covers of the High Replication Datastore | My first 50 minutes study

Sept. 7, 2021

Here is the link. 

Alfred Fuller, Matt Wilder

For the first three years of App Engine, the health of the datastore was tied to the health of a single data center. Users had low latency and strong consistency, but also transient data unavailability and planned read-only periods. The High Replication Datastore trades small amounts of latency and consistency for significantly higher availability. In this talk we discuss user-facing and operational issues of the original Master/Slave Datastore, and how the High Replication Datastore addresses these issues.

Notes from this website

Google I/O 2011: More 9s Please: Under The Covers of the High Replication Datastore

Notes taken from Google I/O 2011: More 9s Please: Under The Covers of the High Replication Datastore

  1. Two types of datastore in App Engine:
    • Master/Slave
      • This is the old style. There is one master that handles all the reads/writes and asynchronous writes happen to the slave.
    • High Replication
      • This is the new default style. There is no master in this one as writes happen to all nodes synchronously. All act as a collective master.
  2. Datastore Stack:
    • The actual datastore is the highest level. This is schema-less storage and has advance query engine.
    • This sits atop megastore which is defined by a strict schema and queried using standard SQL.
    • Megastore is powered by Bigtable which is a distributed key-value store.
      • Big Table is super fast and highly scalable. However, this design has some tradeoffs. Mainly data can be unavailable for short periods of time
    • Finally, the file system that powers all this is GFSv2, a distributed filesystem.
  3. Writes to Datastore
    • In a Master/Slave, write happens to Datacenter A and gets asynchronously written to Datacenter B at a later time.
    • In High Replication, write happens to a majority of the replicas synchronously. The other replica(s) that don’t get the write synchronously gets an asynchronous write scheduled. Or can be on-demand replication when Read comes in to that datastore and it realizes that it doesn’t have that data.
    • Writes to Master/Slave is faster (20ms) compared to High Replication Datastore (45ms).
    • Read latency is about the same but read error rate in High Replication is way less (0.001% vs 1%). Thus, resulting in 5m vs 9h downtime.
  4. Planned Maintenance
    • Master/Slave
      • Datacenter A becomes readonly, thus app running on app engine will be readonly. In the meantime, the catchup happens to datacenter B.
      • Once that is done, then the switchover will happen.
      • Requires engineer to initiate switchover.
    • High Replication
      • Seamless migration. Switching is almost transparent.
      • Memcache flush + 1 min no-caching.
      • This is primarily hosted in a single datacenter. Reason is memcache is quite fast, and doing replication across datacenters is too slow.
  5. Unplanned Maintenance
    • Master/Slave experiences immediate switchover. Thus, some data is lost and app is serving stale data. Up to devs to manually flush partial data that was written to Datacenter A to Datacenter B.
    • For High Replication, this is the same as a planned maintenance. Designed to withstand multiple datacenter failures.
  6. Some Issues with Bigtable
    • Since multiple apps share the same Bigtable instance, a short period that the Bigtable is unavailable for that Datacenter can cause apps hosted by that datacenter to be unavailable. Note that this is only for Master/slave setup.
    • High replication does not get affected, since it will try a request on another bigtable in another datacenter.