Scalable Quotes

Metaphor is awkward, but emotion, by its nature, leaves you no more scalable approach.

If you do something to benefit one person, that is an absolute gain, and its relative insignificance in the wider scheme is irrelevant. Benefit two people without concomitant harm to others - or a village, tribe, city, class, nation, society or civilisation - and the benefits are scalable, arithmetic. There is no excuse beyond fatalistic self-indulgence and sheer laziness for doing nothing.

In distributed systems, suspicion, pessimism, and paranoia pay off.

The moral of the story is that a NoSQL system may find itself accidentally reinventing SQL, albeit in disguise.

data outlives code.

Without stories of progress, the world has become a terrifying place. The ruin glares at us with the horror of its abandonment. It’s not easy to know how to make a life, much less avert planetary destruction. Luckily there is still company, human and not human. We can still explore the overgrown verges of our blasted landscapes - the edges of capitalist discipline, scalability, and abandoned resource plantations. We can still catch the scent of the latent commons - and the elusive autumn aroma.

You get what you design for. Chester, your peer in Development, is spending all his cycles on features, instead of stability, security, scalability, manageability, operability, continuity, and all those other beautiful ’itties.

how do you get, maintain, and multiply attention in a scalable and efficient way?

Scalability becomes supercharged with “network effects.” A network effect exists when assets become more valuable the more of them exist.

The faster you run high quality experiments, the more likely you’ll find scalable, effective growth tactics. Determining the success of a customer acquisition idea is dependent on an effective tracking and reporting system, so don’t start testing until your tracking/reporting system has been implemented.

Concepts and patterns that your brain is sorting through and making sense of are much more scalable and universal than any specific vendor’s technology

Learn the language you need. Learn the language of business (accounting) Learn the language of scalability (programming) Learn the language of entrepreneurship (influence)

A growth hacker is someone who has thrown out the playbook of traditional marketing and replaced it with only what is testable, trackable, and scalable. Their tools are e-mails, pay-per-click ads, blogs, and platform APIs instead of commercials, publicity, and money.

It is one thing when prices drift downward over time due to innovation, scalability or other efficiencies. This might be considered “good” deflation and is familiar to any contemporary consumer who has seen prices of computers or wide-screen TVs fall year after year. It is another matter when prices are forced down by unnecessary monetary contraction, credit constraints, deleveraging, business failures, bankruptcies and mass unemployment. This may be considered “bad” deflation. This bad deflation was exactly what was required in order to return the most important currencies to their prewar parity with gold.

A database is just a tool: how you use it is up to you.

When a team must allocate a disproportionate amount of time to resolving tickets at the cost of spending time improving the service, scalability and reliability suffer.

Reactive applications are characteristically interactive, fault tolerant, scalable, and event driven.

We spend this life looking for a center, a place where we can suspend without a wobble. The specific coordinates are elusive, scalable only by the heart. _Population: 485_, p 202

Self-service is a scalable, cost-effective way to make customers happy.

Next, name your scalable product or service. Naming your offering gives you ownership of it and helps you differentiate it from those of potential competitors.

A second key to deep decarbonization brings up an inconvenient truth for the traditional Green movement: nuclear power is the world’s most abundant and scalable carbon-free energy source.

Whenever you hear a snotty (and frustrated) European middlebrow presenting his stereotypes about Americans, he will often describe them as “uncultured,” “unintellectual,” and “poor in math” because, unlike his peers, Americans are not into equation drills and the constructions middlebrows call “high culture”—like knowledge of Goethe’s inspirational (and central) trip to Italy, or familiarity with the Delft school of painting. Yet the person making these statements is likely to be addicted to his iPod, wear blue jeans, and use Microsoft Word to jot down his “cultural” statements on his PC, with some Google searches here and there interrupting his composition. Well, it so happens that America is currently far, far more creative than these nations of museumgoers and equation solvers. It is also far more tolerant of bottom-up tinkering and undirected trial and error. And globalization has allowed the United States to specialize in the creative aspect of things, the production of concepts and ideas, that is, the scalable part of the products, and, increasingly, by exporting jobs, separate the less scalable components and assign them to those happy to be paid by the hour. There

Defining the sales methodology enables the sales training formula to be scalable and predictable. The three elements of the sales methodology are the buyer journey, the sales process, and the qualifying matrix.

Most small businesses are built on heroic effort. Someone always steps up. Someone always pulls through. That’s admirable — but it’s not scalable. Heroes burn out. Heroes leave. Heroes eventually become the bottleneck.

As the Big Shift takes hold, companies are no longer places that exist to drive down costs by getting increasingly bigger. They’re places that support and organize talented individuals to get better faster by working with others. The rationale of the firm shifts from scalable efficiency to scalable learning—the ability to improve performance more rapidly and learn faster by effectively integrating more and more participants distributed across traditional institutional boundaries.

Without stories of progress, the world has become a terrifying place. The ruin glares at us with the horror of its abandonment. It’s not easy to know how to make a life, much less avert planetary destruction. Luckily there is still company, human and not human. We can still explore the overgrown verges of our blasted landscapes— the edges of capitalist discipline, scalability, and abandoned resource plantations. We can still catch the scent of the latent commons— and the elusive autumn aroma.

the success of creation spaces can be traced back to careful design at the outset by a small group of people who were very thoughtful about the conditions required to foster or “scaffold” scalable collaboration, learning, and performance improvement.

Don’t know if there even is such a thing as “worse” when it comes to grief. I’ve kind of come to think of grief the same way you might think about drowning. Drowning is drowning, some people might be drowning for longer than others, some drowning might put you on a whole new path once you’re through it, sometimes it might change how your brain works if you’re cut off from oxygen for long enough, could even cost you your life—the severity of the drowning incident might be scalable but the drowning itself, the grief itself, it’s all water you can’t breathe in.

The Global Learning XPRIZE competition, which started in 2014, offered $15 million for “open-source, scalable software that will enable children in developing countries to teach themselves basic reading, writing and arithmetic within 15 months.” Results from the winners, Kitkit School and onebillion, suggest that the goal has largely been achieved.

The need for data integration often only becomes apparent if you zoom out and consider the dataflows across an entire organization.

The fastest and most reliable network request is no network request at all!

First make it possible. Then make it beautiful. Then make it fast.

it is poor civic hygiene to install technologies that could someday facilitate a police state

The Google File System

Martin Kleppmann: “Rethinking Caching in Web Apps,

To Schema on Read or to Schema on Write, That Is the Hadoop Data Lake Question

Lawrence Page, Sergey Brin, Rajeev Motwani, and Terry Winograd: “The PageRank Citation Ranking: Bringing Order to the Web,” Stanford InfoLab Technical Report 422, 1999.

If we want the future to be better than the past, moral imagination is required, and that’s something only humans can provide [87]. Data and models should be our tools, not our masters.

Direct democracy, prefigurative politics and direct action are not, we hasten to add, intrinsically flawed.19 Rather than being denounced in themselves, their utility needs to be judged relative to particular historical situations and particular strategic objectives – in terms of their ability to exert real power to create genuine lasting transformation. The reality of complex, globalised capitalism is that small interventions consisting of relatively non-scalable actions are highly unlikely to ever be able to reorganise our socioeconomic system. As we suggest in the second half of this book, the tactical repertoire of horizontalism can have some use, but only when coupled with other more mediated forms of political organisation and action.

The cost-effectiveness of energy has four dimensions: Affordability: How much money does it cost relative to how much money people have? Reliability: To what extent can it be produced “on demand”—when needed, in as large a quantity as needed? Versatility: How wide a variety of machines can it power? Scalability: How many people can it produce energy for and in how many places?

Starting a successful business is not tricky. Starting a successful business does not require above average intelligence. Starting a successful business does require having a pig-headed, purpose-driven tenacity about achieving your life goals and fulfilling your life's vision through providing products and services that offer uncompromising quality in a scalable and duplicatable way.

Engaging in 'vibe coding' as a non-technical founder is like surfing with an AI-powered board—catching waves effortlessly, but without understanding the ocean, you're one wipeout away from a crash.

Technology is a powerful force in our society. Data, software, and communication can be used for bad: to entrench unfair power structures, to undermine human rights, and to protect vested interests. But they can also be used for good: to make underrepresented people’s voices heard, to create opportunities for everyone, and to avert disasters. This book is dedicated to everyone working toward the good.

PEACETIME CEO/WARTIME CEO Peacetime CEO knows that proper protocol leads to winning. Wartime CEO violates protocol in order to win. Peacetime CEO focuses on the big picture and empowers her people to make detailed decisions. Wartime CEO cares about a speck of dust on a gnat’s ass if it interferes with the prime directive. Peacetime CEO builds scalable, high-volume recruiting machines. Wartime CEO does that, but also builds HR organizations that can execute layoffs. Peacetime CEO spends time defining the culture. Wartime CEO lets the war define the culture. Peacetime CEO always has a contingency plan. Wartime CEO knows that sometimes you gotta roll a hard six. Peacetime CEO knows what to do with a big advantage. Wartime CEO is paranoid. Peacetime CEO strives not to use profanity. Wartime CEO sometimes uses profanity purposefully. Peacetime CEO thinks of the competition as other ships in a big ocean that may never engage. Wartime CEO thinks the competition is sneaking into her house and trying to kidnap her children. Peacetime CEO aims to expand the market. Wartime CEO aims to win the market. Peacetime CEO strives to tolerate deviations from the plan when coupled with effort and creativity. Wartime CEO is completely intolerant. Peacetime CEO does not raise her voice. Wartime CEO rarely speaks in a normal tone. Peacetime CEO works to minimize conflict. Wartime CEO heightens the contradictions. Peacetime CEO strives for broad-based buy-in. Wartime CEO neither indulges consensus building nor tolerates disagreements. Peacetime CEO sets big, hairy, audacious goals. Wartime CEO is too busy fighting the enemy to read management books written by consultants who have never managed a fruit stand. Peacetime CEO trains her employees to ensure satisfaction and career development. Wartime CEO trains her employees so they don’t get their asses shot off in the battle. Peacetime CEO has rules like “We’re going to exit all businesses where we’re not number one or two.” Wartime CEO often has no businesses that are number one or two and therefore does not have the luxury of following that rule.

Interruption Marketing was easy. Build a few ads, run them everywhere. Interruption Marketing was scalable. If you need more sales, buy more ads. Interruption Marketing was predictable. With experience, a mass marketer could tell how many dollars in revenue one more dollar in ad spending would generate. Interruption Marketing fit the command and control bias of big companies. It was totally controlled by the advertiser, with no weird side effects.

Pop culture is all about identity and feeling like you’re participating. It has nothing to do with cooperation, the past or the future — it’s living in the present. I think the same is true of most people who write code for money.

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Similarly, product managers must be problem solvers as well. They are not trying to design the user experience, or architect a scalable, fault‐tolerant solution. Rather, they solve for constraints aligned around their customer's business, their industry, and especially their own business. Is this something their customers need? Is it substantially better than the alternatives? Is it something the company can effectively market and sell, that they can afford to build, that they can service and support, and that complies with legal and regulatory constraints?

One of the first things I look for in an industry is scalability. I want to be able to envision how I’ll take a business from a few million dollars to tens of billions of dollars. What will be the path to do that, and how fast can we move along that path? Is the industry growing much faster than GDP so that we’ll probably generate top-line growth each year just by showing up and can build from there? What’s the base price/volume combination we need to be profitable, and how realistic is it to significantly increase our profit margin over time? What could prevent us from doing that?

If the application is event-driven, it can be decoupled into multiple self-contained components. This helps us become more scalable, because we can always add new components or remove old ones without stopping or breaking the system. If errors and failures are passed to the right component, which can handle them as notifications, the application can become more fault-tolerant or resilient. So if we build our system to be event-driven, we can more easily achieve scalability and failure tolerance, and a scalable, decoupled, and error-proof application is fast and responsive to users.

The appropriate milestones measuring a startup’s progress answer these questions: How well do we understand what problems customers have? How much will they pay to solve those problems? Do our product features solve these problems? Do we understand our customers’ business? Do we understand the hierarchy of customer needs? Have we found visionary customers, ones who will buy our product early? Is our product a must-have for these customers? Do we understand the sales roadmap well enough to consistently sell the product? Do we understand what we need to be profitable? Are the sales and business plans realistic, scalable, and achievable? What do we do if our model turns out to be wrong?

6. Do you know how you will get predictable sales? I don’t mean to overwhelm you just yet, but your sales process has to be scalable. For most people, Amazon is the easiest place to start. We’ll cover that later. Unless you have a different way to collect sales consistently, then Amazon will be your starting place. 7. What will be products two, three, and four? Do you know what your follow-up products are going to be? If you don’t know what else you might sell to your person, then you’re not ready to move on. Your job will be to roll out products for that same customer as quickly as possible and as fast as you can comfortably handle them for the first year. Having an idea of your subsequent products will put you far ahead in the process.

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Scalable Social Network Analysis. The SSNA would monitor telephone calls, conference calls, and ATM withdrawals, but it also sought to develop a far more invasive surveillance technology, one that could “capture human activities in surveillance environments.” The Activity Recognition and Monitoring program, or ARM, was modeled after England’s CCTV camera. Surveillance cameras would be set up across the nation, and through the ARM program, they would capture images of people as they went about their daily lives, then save these images to massive data storage banks for computers to examine. Using state-of-the-art facial recognition software, ARM would seek to identify who was behaving outside the computer’s pre-programmed threshold for “ordinary.” The parameters for “ordinary” remain classified.

Through the years, many people have asked me why I set up Khan Academy as a nonprofit. After all, my previous career was very for-profit, and I live in the middle of Silicon Valley, where scalable tech-enabled solutions can be worth a lot of money. Many have been skeptical whether a nonprofit could even compete with for-profit companies. There were two notions I couldn’t get out of my head, however. First, I tend to believe in market forces, but there are a few sectors—namely, education and health care—where the outcomes of market forces don’t always align with our values. Education and health care are two areas where our shared values tell us that, ideally, family resources shouldn’t be a limiting factor in accessing the best possible opportunities. Most of us believe that every mind and life deserves to reach its full potential.

The Industrial Revolution has bequeathed us the production-line theory of education. In the middle of town there is a large concrete building divided into many identical rooms, each room equipped with rows of desks and chairs. At the sound of a bell, you go to one of these rooms together with thirty other kids who were all born the same year as you. Every hour a different grown-up walks in and starts talking. The grown-ups are all paid to do so by the government. One of them tells you about the shape of the earth, another tells you about the human past, and a third tells you about the human body. It is easy to laugh at this model, and almost everybody agrees that no matter its past achievements, it is now bankrupt. But so far we haven’t created a viable alternative. Certainly not a scalable alternative that can be implemented in rural Mexico rather than just in wealthy California suburbs.

TechCrunch, Fast Company, Mashable, Inc., Entrepreneur, and countless other publications. LinkedIn and Hacker News abound with job postings: Growth Hacker Needed. Their job isn’t to “do” marketing as I had always known it; it’s to grow companies really fast—to take something from nothing and make it something enormous within an incredibly tight window. And it says something about what marketing has become that these are no longer considered synonymous tasks. The term “growth hacker” has many different meanings for different people, but I’ll define it as I have come to understand it: A growth hacker is someone who has thrown out the playbook of traditional marketing and replaced it with only what is testable, trackable, and scalable. Their tools are e-mails, pay-per-click ads, blogs, and platform APIs instead of commercials, publicity, and money. While their marketing brethren chase vague notions like “branding” and “mind share,” growth hackers relentlessly pursue users and growth—and when they do it right, those users beget more users, who beget more users. They are the inventors, operators, and mechanics of their own self-sustaining and self-propagating growth machine that can take a start-up from nothing to something.

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a young Goldman Sachs banker named Joseph Park was sitting in his apartment, frustrated at the effort required to get access to entertainment. Why should he trek all the way to Blockbuster to rent a movie? He should just be able to open a website, pick out a movie, and have it delivered to his door. Despite raising around $250 million, Kozmo, the company Park founded, went bankrupt in 2001. His biggest mistake was making a brash promise for one-hour delivery of virtually anything, and investing in building national operations to support growth that never happened. One study of over three thousand startups indicates that roughly three out of every four fail because of premature scaling—making investments that the market isn’t yet ready to support. Had Park proceeded more slowly, he might have noticed that with the current technology available, one-hour delivery was an impractical and low-margin business. There was, however, a tremendous demand for online movie rentals. Netflix was just then getting off the ground, and Kozmo might have been able to compete in the area of mail-order rentals and then online movie streaming. Later, he might have been able to capitalize on technological changes that made it possible for Instacart to build a logistics operation that made one-hour grocery delivery scalable and profitable. Since the market is more defined when settlers enter, they can focus on providing superior quality instead of deliberating about what to offer in the first place. “Wouldn’t you rather be second or third and see how the guy in first did, and then . . . improve it?” Malcolm Gladwell asked in an interview. “When ideas get really complicated, and when the world gets complicated, it’s foolish to think the person who’s first can work it all out,” Gladwell remarked. “Most good things, it takes a long time to figure them out.”* Second, there’s reason to believe that the kinds of people who choose to be late movers may be better suited to succeed. Risk seekers are drawn to being first, and they’re prone to making impulsive decisions. Meanwhile, more risk-averse entrepreneurs watch from the sidelines, waiting for the right opportunity and balancing their risk portfolios before entering. In a study of software startups, strategy researchers Elizabeth Pontikes and William Barnett find that when entrepreneurs rush to follow the crowd into hyped markets, their startups are less likely to survive and grow. When entrepreneurs wait for the market to cool down, they have higher odds of success: “Nonconformists . . . that buck the trend are most likely to stay in the market, receive funding, and ultimately go public.” Third, along with being less recklessly ambitious, settlers can improve upon competitors’ technology to make products better. When you’re the first to market, you have to make all the mistakes yourself. Meanwhile, settlers can watch and learn from your errors. “Moving first is a tactic, not a goal,” Peter Thiel writes in Zero to One; “being the first mover doesn’t do you any good if someone else comes along and unseats you.” Fourth, whereas pioneers tend to get stuck in their early offerings, settlers can observe market changes and shifting consumer tastes and adjust accordingly. In a study of the U.S. automobile industry over nearly a century, pioneers had lower survival rates because they struggled to establish legitimacy, developed routines that didn’t fit the market, and became obsolete as consumer needs clarified. Settlers also have the luxury of waiting for the market to be ready. When Warby Parker launched, e-commerce companies had been thriving for more than a decade, though other companies had tried selling glasses online with little success. “There’s no way it would have worked before,” Neil Blumenthal tells me. “We had to wait for Amazon, Zappos, and Blue Nile to get people comfortable buying products they typically wouldn’t order online.

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It is impossible to reduce the probability of a fault to zero; therefore it is usually best to design fault-tolerance mechanisms that prevent faults from causing failures.

Todo.ly is an online to-do list and task manager. The founders had a goal to reach millions of new users and make Todo.ly widely available as a web application. They succeeded in securing a partnership with Google Chrome and were able to leverage their 200 million user database to help them achieve their one-year growth goal in just three weeks: ● 1000% increase in average daily traffic ● 780% increase in user base ● 400,000 new tasks each month The key was that the Chrome platform was brand new and the Todo.ly application was submitted three to four months prior its launch date. As the Todo.ly app was exactly what Google was looking for to add to the Chrome Webstore, they have contacted the founders and asked for an integrated two clicks login through Google OpenID. Todo.ly has implemented that and became featured from day one. There was a huge marketing campaign around the Chrome Webstore, TV spots, prints, and press conference. Peter Varadi, the founder of Todo.ly, shared his advice based on his personal experience: “Look for new waves of technology, new platforms that are expected to be used by a massive number of people and try to be on that platform as one of first.” In Todo. ly case, it was clearly visible that Chrome had 200 million users already and when they launched their webstore, they would obviously put it front of all their users. Google needed web apps to fill their webstore for the launch and they opened the app submission process a few months earlier. That was a timely opportunity for Todo.ly to jump in. What could be your new wave and chance?

Reinvention of language was required. Thus after a decade of thinking I have created a new fractal (2,5D) nonlinear scalable, mental-model compatible language, supported by a novel GUI.

a 55% increase in transaction volume in 2017. On the average day, the Bitcoin network processes 310,000 transactions . However, the network isn’t meeting demand. On any given day, there are tens of thousands of transactions that get put on hold waiting for the network to catch up to confirm them. These transactions are on hold because Bitcoin has a limit on its block size. Only so many transactions can fit in one block, so any that don’t fit have to wait. This waiting for confirmation is Bitcoin’s scalability problem, and it’s one that must be solved before the coin will be feasible as an everyday currency.

access to assets, rather than ownership, provides flexibility and scalability without having to commit to a particular path

In the end, all vendor products and application architectures are constrained by the same fundamental principles of distributed computing and underlying physics: applications, and the products they use, run as processes on computers of limited capacity, communicating with one another via protocol stacks and links of nonzero latency. Therefore people need to appreciate that application architecture is the primary determinant of application performance and scalability.

In conclusion, smaller companies with a limited budget might opt for open source platforms. Larger, more established, and more demanding companies would typically go with a commercial platform, enabling them to connect their different applications under the same roof. Companies with high growth objectives should leverage scalable cloud-based platforms.

Domain concern Architecture characteristics Mergers and acquisitions Interoperability, scalability, adaptability, extensibility Time to market Agility, testability, deployability User satisfaction Performance, availability, fault tolerance, testability, deployability, agility, security Competitive advantage Agility, testability, deployability, scalability, availability, fault tolerance Time and budget Simplicity, feasibility

Smart endpoints and dumb pipes: Each microservice is developed for a well-defined scope. Once again, the best example is Netflix.42 Netflix started with a single monolithic web application called netflix.war in 2008, and later in 2012, as a solution to address vertical scalability concerns, they moved into a microservices-based approach, where they have hundreds of fine-grained microservices today. The challenge here is how microservices talk to each other. Since the scope of each microservice is small (or micro), to accomplish a given business requirement, microservices have to talk to each other. Each microservice would be a smart endpoint, which exactly knows how to process an incoming request and generate the response.

Infinity of your thoughts Time does not seem to pass, As moments appear to be frozen in an unknown thought, I try hard to bypass, This eerie feeling and the war always lost yet often fought, And I wonder what is this feeling, This enigmatic state of endless time, With which I have now been for very long dealing, A state where time no longer remembers it is time, Then in this moment, Where infinity is cast in a battle with finity, Time remains suspended in an uncertain moment, Where every virtue exists except for certainty, As the war rages and both lose, Infinity retreats to its zone while finity retains its domain, And time that had been held trapped in this noose, Now attains its lost state and claims its lost domain, That spreads across infinity in the subsets of finity, Then my darling Irma, I love you infinitely, Because now there is certainty, And I want you to know, you are my only joy, my moment in time, my eternity, As time resumes its pace, I think of you in the lanes of my mind, And within it I discover our space, Where time still lies trapped, and it does not mind, This existence in a moment where infinity lies everywhere, The infinity of your feelings, your memories and your beauty, And there I lie thinking of you always somewhere, To feed the appetite of our love and its eternity, So if you ever talk to me my love, Maybe I am thinking in this corner feeding the infinity, Of your beauty and our love, To steal from time, from fate, from the Universe, our destiny, Where you lie within me, And we lie in this space of infinity, You loving me and I loving thee, Discovering the charms of your beauty, That is where my love I shall be, If you ever talk to me and you still need to find me, Walk into my mind, but tread softly for you shall be treading over infinity, Where I have spread my feelings just for thee, only thee, And as you behold me, Do not hesitate to wake me up, There in the corner of my mind where I shall always be, Kiss me and wake me up, Then let me cast you into the infinity of my mind and its thoughts, And reveal your own beauty to you, And as you wake up in the infinity of my thoughts, Allow me to cast the veil of infinity bearing your beauty and you, Then let time stop forever, Because now there shall be no need of new thoughts or new feelings, And we shall now exist forever, and forever, In infinities impenetrable ceilings, Where everything is just you and me, Nothing else, and where nothing exists, You and I lying in an eternally amorous state and what a wonder it shall be, Because now there is no identity, I am you and you are me, And both of us surrounded by eternity, In the universe where we have created our own space beyond every scalable limit, And we have become the masters of our own destiny, With nothing to include and nothing to omit, Because there is only one need, Your love for me and my love for you, And there is nothing to worry about or heed, Just your beauty and you, only you, in an endless existence where it is only you, Everywhere, here and there and even that space that time refers to as somewhere, There we lie wound on every loop of infinity, To spread with it everywhere, And believe in the beauty of our singular destiny!

Unfortunately, the SQL standard’s definition of isolation levels is flawed—it is ambiguous, imprecise, and not as implementation-independent as a standard should be [28]. Even though several databases implement repeatable read, there are big differences in the guarantees they actually provide, despite being ostensibly standardized [23]. There has been a formal definition of repeatable read in the research literature [29, 30], but most implementations don’t satisfy that formal definition. And to top it off, IBM DB2 uses “repeatable read” to refer to serializability [8]. As a result, nobody really knows what repeatable read means.

Designing Data-Intensive

When you talk to people who have scaled a business—and we have talked to many, at length and in depth—you begin to uncover some counterintuitive truths about scaling: The best, most scalable ideas are often the ones that seem the most implausible. An encounter with resistance at the start of your journey is a good thing. Early, honest feedback from the right people will have an outsized impact on helping you refine your idea. Doing things that don’t scale—especially at the earliest stages—can set you up for dramatic scale later on. Even if everything you thought you knew turns out to be wrong, you can still achieve your goals—as long as you accept the truth and adjust your plan.

What is Outsourcing? "Outsourcing" is the short form of the English word Outside Resourcing. The term outsourcing was first coined around 1989 and was first seen as a business strategy. Later in the 1990s, this subject was included as an important component of business economics. Since then people started to have various interests in outsourcing. Out means 'Outside' and source means 'Source'. In other words, the whole meaning of Outsourcing is "to bring work from an external source". Here are the key aspects of outsourcing: 1. Opportunities: It can encompass a wide range of functions including customer support, information technology services, human resources functions, manufacturing, accounting, marketing, and more. 2. Benefits: Outsourcing offers several benefits including cost savings, access to specialized skills and technology, increased efficiency, scalability, and ability to focus on core competencies. 3. Global Reach: Outsourcing is not restricted by geographical boundaries. That's why companies can engage service providers from around the world to access global talent pools and cost advantages. 4. Types of Outsourcing: Outsourcing can be divided into several categories. Such as Business Process Outsourcing (BPO), Information Technology Outsourcing (ITO), Knowledge Process Outsourcing (KPO), and many more depending on the nature of the service being outsourced. 5. Challenges: Although outsourcing can offer many benefits. It also presents challenges related to data security, communication, cultural differences, and the need for effective management of outsourcing relationships. 6. Outsourcing model: Companies can choose from several outsourcing models, including offshoring (outsourcing to a service provider in another country), nearshoring (outsourcing to a service provider in a nearby country), and onshoring (outsourcing to a service provider within the same country). Outsourcing means the process of taking the work of an organization or company from an external source. For example – “You Can't find any qualified person within the company to do a job in your company. So you offer some money to an outside freelancer to do the job and he agrees to do the job. Well, that's called outsourcing”. Simply put, outsourcing is basically the payment you pay a freelancer to do the work they are good at.

When doing research before choosing your stack, steer away from assumptions and take all benchmarks with a grain of salt. Benchmarks are like political polls; their results always depend on who prepared them. Always assume that there was some agenda behind a benchmark. To gain value from a benchmark, understand what was measured, how was it done, and under what conditions.

A skilled software craftsperson should understand both good and bad software design practices, starting with what drives the reasoning behind design decisions.

What is Outsourcing? "Outsourcing" is the short form of the English word Outside Resourcing. The term outsourcing was first coined around 1989 and was first seen as a business strategy. Later in the 1990s, this subject was included as an important component of business economics. Since then people started to have various interests in outsourcing. Out means 'Outside' and source means 'Source'. In other words, the whole meaning of Outsourcing is "to bring work from an external source". Here are the key aspects of outsourcing: 1. Opportunities: It can encompass a wide range of functions including customer support, information technology services, human resources functions, manufacturing, accounting, marketing, and more. 2. Benefits: Outsourcing offers several benefits including cost savings, access to specialized skills and technology, increased efficiency, scalability, and ability to focus on core competencies. 3. Global Reach: Outsourcing is not restricted by geographical boundaries. That's why companies can engage service providers from around the world to access global talent pools and cost advantages. 4. Types of Outsourcing: Outsourcing can be divided into several categories. Such as Business Process Outsourcing (BPO), Information Technology Outsourcing (ITO), Knowledge Process Outsourcing (KPO), and many more depending on the nature of the service being outsourced. 5. Challenges: Although outsourcing can offer many benefits. It also presents challenges related to data security, communication, cultural differences, and the need for effective management of outsourcing relationships. 6. Outsourcing model: Companies can choose from several outsourcing models, including offshoring (outsourcing to a service provider in another country), nearshoring (outsourcing to a service provider in a nearby country), and onshoring (outsourcing to a service provider within the same country). Outsourcing means the process of taking the work of an organization or company from an external source. For example – “You Can't find any qualified person within the company to do a job in your company. So you offer some money to an outside freelancer to do the job and he agrees to do the job. Well, that's called outsourcing”. Simply put, Outsourcing is basically the payment you pay a freelancer to do the work they are good at. Please Visit Our Blogging Website to read more Articles related to Freelancing and Outsourcing, Thank You.

What is Outsourcing? "Outsourcing" is the short form of the English word Outside Resourcing. The term outsourcing was first coined around 1989 and was first seen as a business strategy. Later in the 1990s, this subject was included as an important component of business economics. Since then people started to have various interests in outsourcing. Out means 'Outside' and source means 'Source'. In other words, the whole meaning of Outsourcing is "to bring work from an external source". Here are the key aspects of outsourcing: 1. Opportunities: It can encompass a wide range of functions including customer support, information technology services, human resources functions, manufacturing, accounting, marketing, and more. 2. Benefits: Outsourcing offers several benefits including cost savings, access to specialized skills and technology, increased efficiency, scalability, and ability to focus on core competencies. 3. Global Reach: Outsourcing is not restricted by geographical boundaries. That's why companies can engage service providers from around the world to access global talent pools and cost advantages. 4. Types of Outsourcing: Outsourcing can be divided into several categories. Such as Business Process Outsourcing (BPO), Information Technology Outsourcing (ITO), Knowledge Process Outsourcing (KPO), and many more depending on the nature of the service being outsourced. 5. Challenges: Although outsourcing can offer many benefits. It also presents challenges related to data security, communication, cultural differences, and the need for effective management of outsourcing relationships. 6. Outsourcing model: Companies can choose from several outsourcing models, including offshoring (outsourcing to a service provider in another country), nearshoring (outsourcing to a service provider in a nearby country), and onshoring (outsourcing to a service provider within the same country). Outsourcing means the process of taking the work of an organization or company from an external source. For example – “You Can't find any qualified person within the company to do a job in your company. So you offer some money to an outside freelancer to do the job and he agrees to do the job. Well, that's called outsourcing”. Simply put, Outsourcing is basically the payment you pay a freelancer to do the work they are good at. Please Visit Our Blogging Website named (Bhairab IT Zone) to read more Articles related to Freelancing and Outsourcing, Thank You.

When we define success wrongly, it means our best energies will be invested in things such as cutting-edge weekend services, cultivating our brand, and preparing captivating messages. Little is left over for discipleship—our own or that of others—especially when it produces what appears to be such a small and slow return. With the little time left to invest in the messy work of discipleship, we do the next best thing. We standardize discipleship and make it scalable. Our approach resembles more of a conveyor belt in a manufacturing plant than the kind of relational discipleship Jesus modeled for us. We like standardization. Jesus preferred customization.

includes such things as the current and prospective regulatory climate; the state of labor, supplier, and customer relations; the potential impact of changes in technology; competitive strengths and vulnerabilities; pricing power; scalability; environmental issues; and, notably, the presence of hidden exposures. (Charlie

bigger problems are usually the amount of data, the complexity of data, and the speed at which it is changing.

("SELECT *" queries are rarely needed for analytics)

We, the engineers building these systems, have a responsibility to carefully consider those consequences and to consciously decide what kind of world we want to live in.

If there is a systematic bias in the input to an algorithm, the system will most likely learn and amplify that bias in its output [84].

We should stop regarding users as metrics to be optimized, and remember that they are humans who deserve respect, dignity, and agency.

To begin with, we should not retain data forever, but purge it as soon as it is no longer needed [111, 112].

in situations with high message throughput, where each message is fast to process and where message ordering is important, the log-based approach works very well.

How to Build a Mobile App with React Native With the continuous evolution of web applications, real-time apps, and hybrid apps, the companies want faster development and easy maintenance for their app. Due to high-end technologies, the React Native app development has earned its significance in bringing all of these together within the limited budget of the companies. Overview of React Native As the React Native is based on the React framework, it is good for React Native app development to follow the same. In addition to that, React Native has separate APIs for both the platforms, it allows development for both Android and iOS in the single app, and most importantly, it is free and open-source. Facebook’s React Native Developing apps that run on the different operating systems with one tool, especially mobile devices, would be a great advantage to the developers. Therefore, the React Native development by Facebook is one of the best ways to build apps that are scalable and flexible. The Android App Development with React Native With the number of active Android users, it has created more value to the companies in developing the apps for android mobile devices. Working with React Native In React Native, the developers have a lot of responsibilities. They do not need to write the code manually, as React Native automatically generates the code for the mobile app development. This is the reason why the developers need to focus more on the UX of the app. There are several UX aspects that are required for a development, such as the native code, the visual aesthetics, the technical and back-end aspects. All these aspects would be added together to design the user interface. This is why the React Native app development becomes quite important. The creation of the native code, design, and other technical aspects make React Native a valuable tool for developers and non-developers. Benefits of React Native React Native helps in building a complete native mobile app without any coding skills. The beautiful library creates responsive and interactive web apps from all the simple mobile web components and thus increases the creation of high-quality applications. React Native is a part of web development in its new form with its development of new concepts in application. It uses the native functionality of an operating system so that all of the advanced concepts of web development can be applied to mobile apps. This makes React Native a preferred platform for apps which are made specifically for Android and iOS. With React Native, the companies can develop a beautiful and efficient app in less time without having to spend too much time. Conclusion As stated in the above results of mobile app development, the UI remains the most important part of a mobile app. All developers are in love with different UI frameworks and libraries. As for this topic, given below are some of the great reasons to select React Native as a UI framework: It’s the only full-stack UI framework from Facebook. More than 20 frameworks have appeared, and React Native is the only one that was born out of Facebook. Features like rendering into the DOM, XHR, Native Embedding, data persistence, offline support and more. Although React Native is more than capable of tackling many challenges, it still falls short of some modern technologies like HOCs and Server-side Rendering (SSR).

best way of building fault-tolerant systems is to find some general-purpose abstractions with useful guarantees, implement them once, and then let applications rely on those guarantees. This

However, guarantees such as reading your own writes are useful, and I don’t think that it is productive to tell everyone “eventual consistency is inevitable — suck it up and learn to deal with it” (at least not without good guidance on how to deal with it).

Surveillance As a thought experiment, try replacing the word data with surveillance, and observe if common phrases still sound so good [93]. How about this: “In our surveillance-driven organization we collect real-time surveillance streams and store them in our surveillance warehouse. Our surveillance scientists use advanced analytics and surveillance processing in order to derive new insights.

We are already seeing car insurance premiums linked to tracking devices in cars, and health insurance coverage that depends on people wearing a fitness tracking device. When surveillance is used to determine things that hold sway over important aspects of life, such as insurance coverage or employment, it starts to appear less benign. Moreover, data analysis can reveal surprisingly intrusive things: for example, the movement sensor in a smartwatch or fitness tracker can be used to work out what you are typing (for example, passwords) with fairly good accuracy [98]. And algorithms for analysis are only going to get better.

Whenever any communication happens over a network, it may fail — there is no way around it.

With human projects and ventures we have another story. These are often scalable, as I said in Chapter 3. With scalable variables, the ones from Extremistan, you will witness the exact opposite effect. Let’s say a project is expected to terminate in 79 days, the same expectation in days as the newborn female has in years. On the 79th day, if the project is not finished, it will be expected to take another 25 days to complete. But on the 90th day, if the project is still not completed, it should have about 58 days to go. On the 100th, it should have 89 days to go. On the 119th, it should have an extra 149 days. On day 600, if the project is not done, you will be expected to need an extra 1,590 days. As you see, the longer you wait, the longer you will be expected to wait.

This subtle but extremely consequential property of scalable randomness is unusually counterintuitive. We misunderstand the logic of large deviations from the norm.