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[Digital event] Game-Changing Adobe MAX Announcements — 29 Nov
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Don't miss exclusive demos and product announcementsGame-Changing Adobe MAX Announcements for Smarter Workflows
Wednesday, 29 November, 2023
3.00pm AEDT | 12.00pm SGT | 9.30am ISTThe annual creativity conference Adobe MAX unveils powerful technological advancements and breakthrough visions for creativity across industries. Whether you attended Adobe MAX on-site in Los Angeles, caught a few sessions online, or missed this year’s live event altogether, be sure to join us for a recap, discussion, and celebration of the most important, game-changing Adobe MAX 2023 announcements.
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by "Adobe Creative Cloud for Business" <demand@info.adobe.com> - 09:04 - 13 Nov 2023 -
Wide Range of GPS tracking software products that are easy to white-label and customize for your business needs
Wide Range of GPS tracking software products that are easy to white-label and customize for your business needs
Telematics solutions that will supercharge your businessDynamic GPS tracking software products that are easy to white-label and customize for your business needs.
Fleet Management
Monitor your drivers, track your vehicles, save money on fuel,
and much more!School Bus Tracking
SmartBus guarantees the safety
of students — from the first
stop to the last.Waste Collection Monitoring
A solution that’s convenient for citizens, flexible for collectors, and innovative for managers!
Transport Monitoring
Manage the supply chain and cut costs on outings, dispatching warehousing
and routing.Uffizio Technologies Pvt. Ltd., 4th Floor, Metropolis, Opp. S.T Workshop, Valsad, Gujarat, 396001, India
by "Uffizio Software Technologies Pvt Ltd" <sunny.thakur@uffizio.com> - 07:00 - 13 Nov 2023 -
Time is Running Out: Sign Up for the AI and HPC oneAPI DevSummit.
Coming Dec 4-6: Take a deep dive into AI and HPC at this oneAPI DevSummit.
Immerse yourself in this free two-day virtual event focused on cross-platform development and future technologies.Onboarding Day: December 4, 9:00am – 10:30am CT
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If the answer is yes, join renowned industry experts for a deep dive into oneAPI cross-architecture software development spanning:
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View from the top: A leader’s guide to building a dream team
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by "McKinsey Leading Off" <publishing@email.mckinsey.com> - 02:06 - 13 Nov 2023 -
It’s tough for companies to grow. One C-suite partnership is especially important.
On Point
Getting the CEO–CMO relationship right Brought to you by Liz Hilton Segel, chief client officer and managing partner, global industry practices, & Homayoun Hatami, managing partner, global client capabilities
•
C-suite collaboration. In an uncertain economy, some marketing leaders are being asked to produce quick wins from their brand-building campaigns. Since running an effective campaign can take multiple years, marketing chiefs need to manage expectations up front, a global beauty company’s CMO says. Success in marketing takes good communication and teamwork among C-suite leaders; however, as one finance chief notes, referencing a recent survey, only 37% of CMOs think it’s important to develop a better relationship with the CFO. [Raconteur]
•
Partnering for growth. It’s tough for many companies to grow. Prior McKinsey research has found that roughly 25% of companies don’t grow at all. To understand what’s happening inside the C-suites of high- and low-growth companies, we surveyed and spoke with about 100 marketing leaders and 21 CEOs. The relationship between CEOs and CMOs, particularly how CEOs and CMOs both define marketing’s role in shaping growth strategy, is highly correlated to their companies’ performance, McKinsey senior partner Marc Brodherson and coauthors reveal.
— Edited by Belinda Yu, editor, Atlanta
Introducing Insights to Impact
Be among the first to subscribe to this free newsletter delivering a weekly roundup of analysis that’s influencing decision makers. Each Friday, we’ll offer insights across geographies, industries, and capabilities to help leaders identify new opportunities to spur innovation and growth, sustainably.
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by "McKinsey On Point" <publishing@email.mckinsey.com> - 01:24 - 13 Nov 2023 -
The week in charts
The Week in Charts
Alternative seafood, wealth fintech in Asia–Pacific, and more Share these insights
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by "McKinsey Week in Charts" <publishing@email.mckinsey.com> - 03:13 - 11 Nov 2023 -
Using probability to boost your strategy’s odds of success
Embrace uncertainty? Certainly. Brought to you by Liz Hilton Segel, chief client officer and managing partner, global industry practices, & Homayoun Hatami, managing partner, global client capabilities
How your company’s strategy can beat the odds by embracing uncertainty
In business, as in life, uncertainty abounds. And companies today face uncertainty in spades: climate risks, economic shocks, disruptive technologies. Yet even when confronted with this volatile reality, companies still craft strategies that account for just one version of the future—and then hope for the best. A successful strategy heads off uncertainty at the pass by embracing the notion of probability.
Knowing your odds of success before you launch a strategy can go a long way to ensuring how well you execute it. That starts with three key buckets: the capital you start off with, the trends your industry is facing, and the big strategic moves you plan to take. Benchmarking in these areas against the best-performing companies can help you more accurately assess your probability—and increase the odds that your strategy will succeed.
“Uncertainty is the very reason we need strategy,” write the authors of this 2018 classic, and uncertainty isn’t going away anytime soon. To learn how to maximize your odds with certainty and secure your strategy’s success, read Chris Bradley and Sven Smit’s “How to confront uncertainty in your strategy.”Get a grip on uncertainty Share these insights
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by "McKinsey Classics" <publishing@email.mckinsey.com> - 01:12 - 11 Nov 2023 -
EP85: Like LeetCode, but for improving debugging skills
EP85: Like LeetCode, but for improving debugging skills
This week’s system design refresher: How Big Tech Ships Code to Production (Youtube video) SadServers, like LeetCode, but for debugging issues on a Linux box Top 9 HTTP Request Methods The Software Engineer's Guidebook Log Parsing Cheat Sheet How to become a technical founder VCs love investing in (Sponsored) Forwarded this email? Subscribe here for moreThis week’s system design refresher:
SadServers, like LeetCode, but for improving debugging skills
How Big Tech Ships Code to Production (Youtube video)
Top 9 HTTP Request Methods
The Software Engineer's Guidebook
Log Parsing Cheat Sheet
How to become a technical founder VCs love investing in (Sponsored)
Engineers like you make some of the best startup founders but struggle when it comes to raising money.
To help future founders like you, I’ve created a guide to becoming that sought after technical founder that VCs LOVE to invest in.
It includes:
📋 8 step-by-step project plans (no thinking, just doing)
👨🏻 15 video explainers
✍️ Copywriting templates
The retail price is $287 but I’m offering it for FREE to ByteByteGo readers who use the code ‘byte287’
(btw - who am I?) My name’s Jason Yeh. I studied compsci before working in Venture Capital and raising millions as a founder. I’ve helped founders around the world raise over $250MM (@jayyeh and my newsletter, and admnt.com).
SadServers, like LeetCode, but for improving debugging skills
One of the best ways to learn is to debug real problems. I recently discovered an interesting site built by Fernando Duran. It's similar to LeetCode, but focuses on improving developers debugging skills. I hope you find it useful. You can check it out here.
How Big Tech Ships Code to Production
Top 9 HTTP Request Methods
GET, POST, PUT... Common HTTP “verbs” in one figure.
HTTP GET
This retrieves a resource from the server. It is idempotent. Multiple identical requests return the same result.HTTP PUT
This updates or Creates a resource. It is idempotent. Multiple identical requests will update the same resource.HTTP POST
This is used to create new resources. It is not idempotent, making two identical POST will duplicate the resource creation.HTTP DELETE
This is used to delete a resource. It is idempotent. Multiple identical requests will delete the same resource.HTTP PATCH
The PATCH method applies partial modifications to a resource.HTTP HEAD
The HEAD method asks for a response identical to a GET request but without the response body.HTTP CONNECT
The CONNECT method establishes a tunnel to the server identified by the target resource.HTTP OPTIONS
This describes the communication options for the target resource.HTTP TRACE
This performs a message loop-back test along the path to the target resource.
Over to you: What other HTTP verbs have you used?
Latest articles
If you’re not a paid subscriber, here’s what you missed this month.
The 6 Most Impactful Ways Redis is Used in Production Systems
The Tech Promotion Algorithm: A Structured Guide to Moving Up
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The Software Engineer's Guidebook
It is great to be one of the first readers of this amazing book: The Software Engineer's Guidebook.
Gergely Orosz spent four years writing it. The book provides a roadmap for a typical software engineering career, starting as a fresh-faced software developer and progressing to a senior/lead role model, all the way up to the staff/principal/distinguished level.
What's inside?
Part 1: Developer Career Fundamentals
1. Career paths
2. Owning your career
3. Performance reviews
4. Promotions
5. Thriving in different environments
6. Switching jobs
Part 2: The Competent Software Developer
7. Getting things done
8. Coding
9. Software development
10. Tools of the productive engineer
Part 3: The Well-Rounded Senior Engineer
11. Getting things done
12. Collaboration and teamwork
13. Software engineering
14. Testing
15. Software architecture
Part 4: The Pragmatic Tech Lead
16. Project management
17. Shipping in production
18. Stakeholder management
19. Team structure
20. Team dynamics
Part 5: Role-Model Staff and Principal Engineers
21. Understanding the business
22. Collaboration
23. Software engineering
24. Reliable software engineering
25. Software architecture
If you are interested, you can check out the book here.Log Parsing Cheat Sheet
The diagram below lists the top 6 log parsing commands.
GREP
GREP searches any given input files, selecting lines that match one or more patterns.CUT
CUT cuts out selected portions of each line from each file and writes them to the standard output.SED
SED reads the specified files, modifying the input as specified by a list of commands.AWK
AWK scans each input file for lines that match any of a set of patterns.SORT
SORT sorts text and binary files by lines.UNIQ
UNIQ reads the specified input file comparing adjacent lines and writes a copy of each unique input line to the output file.
These commands are often used in combination to quickly find useful information from the log files. For example, the below commands list the timestamps (column 2) when there is an exception happening for xxService.
grep “xxService” service.log | grep “Exception” | cut -d” “ -f 2
Over to you: What other commands do you use when you parse logs?Latest articles
Here are the latest articles you may have missed:
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by "ByteByteGo" <bytebytego@substack.com> - 11:43 - 11 Nov 2023 -
La situación actual de las mujeres en el trabajo: Avances y oportunidades
Además, cómo las instituciones financieras pueden reinventarse ¿Cuál es la situación actual de las mujeres que trabajan en Estados Unidos? El más reciente informe Mujeres en el lugar de trabajo revela que, si bien las mujeres han logrado avances en la alta dirección, todavía están infrarrepresentadas en los mandos intermedios. El informe de este año, del que son coautoras Emily Field, Alexis Krivkovich y Lareina Yee, de McKinsey, en colaboración con LeanIn.Org, desmonta mitos comunes sobre las experiencias de las mujeres en el lugar de trabajo y la promoción profesional, e incluye una mirada interseccional a los prejuicios y barreras que enfrentan las mujeres asiáticas, negras, latinas y LGBTQ+, así como las mujeres con discapacidades. Otros temas destacados de la edición de este mes son:
•
Cómo pueden reinventarse las instituciones financieras frente a los grandes cambios estructurales y macroeconómicos
•
Los últimos resultados de la encuesta sobre la confianza y el gasto de los consumidores
•
Cómo los centros globales de capacidades pueden abordar el desgaste a través de la experiencia de los empleados
•
Por qué los directores de marketing podrían adoptar una mentalidad de inversionista
La selección de nuestros editores
LOS DESTACADOS DE ESTE MES
Global Banking Annual Review 2023: La gran transición bancaria
Los beneficios de la banca han aumentado gracias a la subida de las tasas de interés, pero las instituciones financieras de todo el mundo necesitan reinventarse ante los grandes cambios estructurales y macroeconómicos.
5 prioridadesCinco caminos para superar el rendimiento total del accionista
Es difícil para las empresas superar significativamente el rendimiento total del accionista (TSR) del mercado a largo plazo, más difícil para las corporaciones más grandes, y aún más difícil en un contexto de bajo crecimiento. Pero el legado de la industria no tiene por qué ser el destino.
5 caminos hacia un rendimiento superiorLa experiencia de los empleados sigue siendo importante: La retención del talento en los GCC
Con cinco acciones enfocadas, los centros globales de capacidades podrían reducir a la mitad sus tasas de deserción.
5 accionesCimentar el liderazgo: La industria cementera en la transición a las cero emisiones netas
Los nuevos enfoques y materiales podrían ayudar a la industria del cemento en la transición hacia un camino sin emisiones de carbono. De cara al futuro, los actores con enfoques estratégicos hacia las nuevas tecnologías podrían tener ventaja.
Lidere el caminoForward Thinking sobre los problemas existenciales que enfrentan las clases medias de todos los países, con Homi Kharas
Históricamente, la clase media ha tratado de evitar el cambio y reducir los niveles de incertidumbre, pero ahora tiene que aceptar el cambio y escribir una nueva narrativa, dice un destacado economista.
Acepte el cambioVisión de embudo: marketing con mentalidad de inversionista
El marketing eficaz no es solo algo “agradable de tener” cuando los tiempos son buenos. Las empresas lo necesitan todo el tiempo para recuperarse más rápidamente de las crisis y alcanzar sus objetivos de crecimiento a largo plazo. Aquí explicamos por qué.
Adopte una mentalidad de inversionistaEsperamos que disfrute de los artículos en español que seleccionamos este mes y lo invitamos a explorar también los siguientes artículos en inglés.
McKinsey Explainers
Find direct answers to complex questions, backed by McKinsey’s expert insights.
Learn moreMcKinsey Themes
Browse our essential reading on the topics that matter.
Get up to speedMcKinsey on Books
Explore this month’s best-selling business books prepared exclusively for McKinsey Publishing by Circana.
See the listsMcKinsey Chart of the Day
See our daily chart that helps explain a changing world—as we strive for sustainable, inclusive growth.
Dive inMcKinsey Classics
Is artificial intelligence prone to bias as the real thing it emulates? Read our 2017 classic “Controlling machine-learning algorithms and their biases” to learn more.
RewindLeading Off
Our Leading Off newsletter features revealing research and inspiring interviews to empower you—and those you lead.
Subscribe now— Edited by Joyce Yoo, editor, New York
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by "Destacados de McKinsey" <publishing@email.mckinsey.com> - 07:14 - 11 Nov 2023 -
How to develop geopolitical resilience
Be prepared New from McKinsey & Company
How to develop geopolitical resilience
Be prepared Prefer audio? Listen to the podcast, and explore past episodes of the Inside the Strategy Room podcast. Subscribe via Apple Podcasts, Google Podcasts, and Spotify.
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by "McKinsey & Company" <publishing@email.mckinsey.com> - 02:51 - 10 Nov 2023 -
API Trends, Insights, Webinars, and More!
SmartBear
See our latest product updates and learn about what’s coming nextHi Abul,
We're back with our monthly API newsletter.
Let's dive into this month's API trends, insights, webinars, and more! ☟
☕ Hot Off the PressSmartBear Named a Visionary by Gartner® in the 2023 Magic Quadrant™ for API Management
On November 8th, we explored the emerging trends in the API landscape, discussed Gartner's evaluation of our company in meeting those evolving needs, and provided an inside look into our plans for the upcoming year.⚡ API Innovative InsightsBecome an expert on the latest updates and trends✍ Want to Learn More?
Check out what else has been happening at SmartBear
BLOGSmartBear: A Visionary in the 2023 Gartner® Magic Quadrant™A Magic Quadrant is a tool that provides a graphical competitive positioning of technology providers to help you make smart investment decisions. The evaluation was based on specific criteria that analyzed the company’s overall completeness of vision and ability to execute.WEBINAROptimizing QA Approaches: A Comparative Study of Functional and Contract Testing in GraphQLWith the emergence of new protocols like GraphQL, QA teams will need to refine their testing strategies. Join us for this informative webinar where our experts will help you craft your own GraphQL testing strategy.BLOGHow to Explore Your Kafka Channels with SwaggerHub ExploreOur 2023 SOSQ API trends report revealed that APIs supporting Events is on the rise as we’re seeing an increase in support for Apache Kafka. In this blog, we dive deeper into the world of Apache Kafka and how to explore those channels.BLOGPactober Wrap-UpMissed Pactober? Our Open-Source community Managers summarize all the cool Pactober happenings in this recent blogBest,
SmartBear API Team
P.S. If you found this email helpful, forward it to a friend! If you have ideas of how we can improve next month’s newsletter, reply back to let us know.Have you tried our free API client, Explore? Sign up Today!This email was sent to info@learn.odoo.com by SmartBear Software, 450 Artisan Way, Somerville, MA. 02145, 617684.2600, www.smartbear.com. We hope you found this email of interest. However, we value your privacy. If you do not wish to receive future correspondence from us, please click here to manage email preferences.
by "SmartBear API Team" <api-lifecycle-team@smartbearmail.com> - 11:49 - 9 Nov 2023 -
Where will you travel next? The tourism industry can learn to cope with staff shortages.
On Point
Keeping up with consumers Brought to you by Liz Hilton Segel, chief client officer and managing partner, global industry practices, & Homayoun Hatami, managing partner, global client capabilities
•
Uncertain winter. The travel sector thrived during the bustling summer months. Airlines took in historically high profits, while European and US hotels saw the return of guests at levels that nearly matched prepandemic occupancy rates. Now, though, the sector is grappling with uncertainty over the coming winter. European executives are mostly optimistic; they expect continued spending on travel even in the face of high inflation. Some US companies, however, point to softening demand. One low-cost airline reported having to rely on “steep discounting.” [FT]
— Edited by Belinda Yu, editor, Atlanta
Introducing Insights to Impact
Be among the first to subscribe to this free newsletter delivering a weekly roundup of analysis that’s influencing decision makers. Each Friday, we’ll offer insights across geographies, industries, and capabilities to help leaders identify new opportunities to spur innovation and growth, sustainably.
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by "McKinsey On Point" <publishing@email.mckinsey.com> - 11:07 - 9 Nov 2023 -
A Crash Course in Docker
A Crash Course in Docker
In the old days of software development, getting an application from code to production was slow and painful. Developers struggled with dependency hell as test and production environments differ in subtle ways, leading to code mysteriously working on one environment but not the other. Then along came Docker in 2013, originally created within dotCloud as an experiment with container technology to simplify deployment. Docker was open-sourced that March, and over the next 15 months it emerged as a leading container platform. Forwarded this email? Subscribe here for moreThis is a sneak peek of today’s paid newsletter for our premium subscribers. Get access to this issue and all future issues - by subscribing today.
Latest articles
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The 6 Most Impactful Ways Redis is Used in Production Systems
The Tech Promotion Algorithm: A Structured Guide to Moving Up
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In the old days of software development, getting an application from code to production was slow and painful. Developers struggled with dependency hell as test and production environments differ in subtle ways, leading to code mysteriously working on one environment but not the other. Then along came Docker in 2013, originally created within dotCloud as an experiment with container technology to simplify deployment. Docker was open-sourced that March, and over the next 15 months it emerged as a leading container platform.
In this newsletter, we’ll explore the history of container technology, the specific innovations that powered Docker's meteoric rise, and the Linux fundamentals enabling its magic. We’ll explain what Docker images are, how they differ from virtual machines, and whether you need Kubernetes to use Docker effectively. By the end, you’ll understand why Docker has become the standard for packaging and distributing applications in the cloud.
Tracing the Path from Bare Metal to Docker
In the past two decades, backend infrastructure evolved rapidly, as illustrated in the timeline below:
Reference: Openstack In the early days of computing, applications ran directly on physical servers (“bare metal”). Teams purchased, racked, stacked, powered on, and configured every new machine. This was very time-consuming just to get started.
Then came hardware virtualization. It allowed multiple virtual machines to run on a single powerful physical server. This enabled more efficient utilization of resources. But provisioning and managing VMs still required heavy lifting.
Next was infrastructure-as-a-service (IaaS) like Amazon EC2. IaaS removed the need to set up physical hardware and provided on-demand virtual resources. But developers still had to manually configure VMs with libraries, dependencies, etc.
Platform-as-a-service (PaaS) like Cloud Foundry and Heroku was the next big shift. PaaS provides a managed development platform to simplify deployment. But inconsistencies across environments led to “works on my machine” issues.
This brought us to Docker in 2013. Docker improved upon PaaS through two key innovations.
Lightweight Containerization
Container technology is often compared to virtual machines, but they use very different approaches.
A VM hypervisor emulates underlying server hardware such as CPU, memory, and disk, to allow multiple virtual machines to share the same physical resources. It installs guest operating systems on this virtualized hardware. Processes running on the guest OS can’t see the host hardware resources or other VMs.
In contrast, Docker containers share the host operating system kernel. The Docker engine does not virtualize OS resources. Instead, containers achieve isolation through Linux namespaces and control groups (cgroups).
Namespaces provide separation of processes, networking, mounts, and other resources. cgroups limit and meter usage of resources like CPU, memory, and disk I/O for containers. We’ll visit this in more depth later.
This makes containers more lightweight and portable than VMs. Multiple containers can share a host and its resources. They also start much faster since there is no bootup of a full VM OS.
Docker is not “lightweight virtualization” as some would describe it. It uses Linux primitives to isolate processes, not virtualize hardware like a hypervisor. This OS-level isolation is what enables lightweight Docker containers.
Application Packaging
Before Docker’s release in 2013, Cloud Foundry was a widely used open-source PaaS platform. Many companies adopted Cloud Foundry to build their own PaaS offerings.
Compared to IaaS, PaaS improves developer experience by handling deployment and application runtimes. Cloud Foundry provided these key advantages:
Avoiding vendor lock-in - applications built on it were portable across PaaS implementations.
Support for diverse infrastructure environments and scaling needs.
Comprehensive support for major languages like Java, Ruby, and Javascript, and databases like MySQL and PostgreSQL.
A set of packaging and distribution tools for deploying applications
Cloud Foundry relied on Linux containers under the hood to provide isolated application sandbox environments. However, this core container technology powering Cloud Foundry was not exposed as a user-facing feature or highlighted as a key architectural component.
The companies offering Cloud Foundry PaaS solutions overlooked the potential of unlocking containers as a developer tool. They failed to recognize how containers could be transformed from an internal isolation mechanism to an externalized packaging format.
Docker became popular by solving two key PaaS packaging problems with container images:
Bundling the app, configs, dependencies, and OS into a single deployable image
Keeping the local development environment consistent with the cloud runtime environment
The diagram below shows a comparison.
This elegantly addressed dependency and compatibility issues that plagued PaaS. But Cloud Foundry did not adapt to support Docker images fast enough. This allowed Docker images to proliferate in the cloud computing environment.
From Docker to Kubernetes
Docker won early popularity because it innovated in application packaging and deployment. Its initial success was largely due to this novel method of isolating applications in lightweight containers.
As Docker's popularity grew, the company sought to expand its offerings beyond containerization. It ventured to expand into a full PaaS platform. This led to the development of Docker Swarm for cluster management and the acquisition of Fig (later Docker Compose) to enhance orchestration capabilities.
Docker’s aspirations caught the attention of some tech giants. Companies like Google, RedHat, and other PaaS companies wanted in on this hot new technology.
Let’s see what happened between 2013 and 2018 with the diagram below:
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Gen AI is already starting to transform banking. How can leaders take full advantage?
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Elements for success with gen AI Brought to you by Liz Hilton Segel, chief client officer and managing partner, global industry practices, & Homayoun Hatami, managing partner, global client capabilities
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Central banks explore AI. Central banks around the world, including in Europe and the UK, are considering new uses for AI, such as evaluating media content and generating economic forecasts. A European banking executive in September said that large language models could be employed to assess banking documents, provide policy briefings, and improve public statements by putting them into plain language. Those applications are “only the tip of the iceberg,” of what’s possible, the banking leader shared. [NYT]
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Growth and productivity booster. Corporate and investment banks first adopted AI and machine learning decades ago. Now, with gen AI bursting onto the scene, the technology has huge potential in banking, McKinsey senior partner Jared Moon and coauthors say. For instance, banks can improve their competitiveness in client servicing by using gen AI to create documents that are currently produced by hand. All told, productivity and other benefits could add 9 to 15% to corporate and investment banking operating profits, the McKinsey Global Institute finds.
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You’ve probably heard of Web3. But what is it, exactly?
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Challenges faced by early Web3 adopters Brought to you by Liz Hilton Segel, chief client officer and managing partner, global industry practices, & Homayoun Hatami, managing partner, global client capabilities
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Web3-enabled work. From having fixed to flexible schedules and from working in one place to anywhere in the world, people have seen the way they work redefined by the COVID-19 pandemic, digital technologies, and globalization. The transition to distributed, project-based work may expand economic access and the gig economy, tech experts say. Web3 applications and technologies such as blockchain are fueling this change, enabling workers to collaborate directly with clients and colleagues and allowing individuals to truly own their digital work. [HBR]
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Momentum in Web3. Web3 is the idea of a new, decentralized internet built on blockchains, which are distributed ledgers controlled communally by participants. If and when Web3 fully arrives, it will, in theory, signal a new era of the internet, one in which community-run networks control use and access. Interest in Web3 platforms and applications is increasing. In 2022, Web3 technologies netted $62 billion in equity investment, compared with $16 billion in 2018, according to Lareina Yee, chair of the McKinsey Technology Council, and coauthors.
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Web3-related challenges. Web3 technologies are already being taken up by tech pioneers. But early Web3 adopters face several challenges. For one thing, Web3 has relatively poor user experience standards when compared with Web2 products, which have been fine-tuned over two decades of development. The utility of Web3 products, such as NFTs, also remains unclear to many consumers and enterprises. Read our McKinsey Explainer to explore three main technologies that support Web3 and some real-world examples.
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by "McKinsey On Point" <publishing@email.mckinsey.com> - 01:06 - 8 Nov 2023 -
Shipping to Production
Shipping to Production
A book that I have been waiting for a long time is finally out: The Software Engineer's Guidebook, written by Gergely Orosz, a software engineer and author of 'The Pragmatic Engineer Newsletter.' Since the book is out, I contacted Gergely to inquire whether he would be willing to share a chapter with the newsletter audience. To my delight, he kindly agreed. The chapter I've chosen is 'Shipping to Production.' I hope you enjoy it. Forwarded this email? Subscribe here for moreThis is a sneak peek of today’s paid newsletter for our premium subscribers. Get access to this issue and all future issues - by subscribing today.
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A book that I have been waiting for a long time is finally out: The Software Engineer's Guidebook, written by Gergely Orosz, a software engineer and author of 'The Pragmatic Engineer Newsletter.'
Since the book is out, I contacted Gergely to inquire whether he would be willing to share a chapter with the newsletter audience. To my delight, he kindly agreed. The chapter I've chosen is 'Shipping to Production.' I hope you enjoy it.
You can check out the book here: The Software Engineer's Guidebook
As a tech lead, you’re expected to get your team’s work into production quickly and reliably. But how does this happen, and which principles should you follow? This depends on several factors: the environment, the maturity of the product being worked on, how expensive outages are, and whether moving fast or having no reliability issues is more important.
This chapter covers shipping to production reliably in different environments. It highlights common approaches across the industry, and helps you refine how your team thinks about this process. We cover:
Extremes in shipping to production
Typical shipping processes at different types of companies
Principles and tools for shipping to production responsibly
Additional verification layers and protections
Taking pragmatic risks to move faster
Additional considerations for defining a deployment process
Selecting an approach
1. EXTREMES IN SHIPPING TO PRODUCTION
Let’s start with two “extremes” in shipping to production:
YOLO shipping
The You Only Live Once (YOLO) approach is used for many prototypes, side projects, and unstable products like alpha/beta versions. It’s also how some urgent changes make it into production.
The idea is simple, make a change in production and check if it works in production. Examples of YOLO shipping include:
SSH into a production server → open an editor (e.g. vim) → make a change in a file → save the file and/or restart the server → see if the change works.
Make a change to a source code file → force land this change without a code review → push a new deployment of a service.
Log on to the production database → execute a production query to fix a data issue (e.g. modifying records with issues) → hope this fixes the problem.
YOLO shipping is as fast as it gets when shipping a change to production. However, it also has the highest risk of introducing new issues into production because there is no safety net. For products with few to zero production users, the damage done by introducing bugs into production can be low, so this approach is justifiable.
YOLO releases are common for:
Side projects
Early-stage startups with no customers
Mid-sized companies with poor engineering practices
Resolving urgent incidents at places without well-defined incident handling practices
As a software product grows and more customers rely on it, code changes need to go through extra validation before production. Let’s go to the other extreme: a team obsessed with doing everything possible to ship zero bugs into production.
Thorough verification through multiple stages
This is an approach used for mature products with many valuable customers, where a single bug can cause major problems. This rigorous approach is used if bugs could result in customers losing money, or make them switch to a competitor’s offering.
Several verification layers are in place, with the goal of simulating the real world with greater accuracy, such as:
Local validation. Tooling for software engineers to catch obvious issues.
CI validation. Automated tests like unit tests and linting on every pull request.
Automation before deploying to a test environment. More expensive tests such as integration tests or end-to-end tests, before deployment to the next environment.
Test environment #1. More automated testing, like smoke tests. Quality assurance engineers might manually exercise the product, running manual tests and doing exploratory testing.
Test environment #2. An environment where a subset of real users – such as internal company users or paid beta testers – exercise the product. The environment is coupled with monitoring and the rollout is halted upon sign of a regression.
Pre-production environment. An environment in which the final set of validations are run. This often means running another set of automated and manual tests.
Staged rollout. A small subset of users get the changes, and the team monitors for key metrics to remain healthy, and checks customer feedback. A staged rollout strategy depends on the riskiness of the change being made.
Full rollout. As the staged rollout increases, at some point changes are pushed to all customers.
Post-rollout. Issues arise in production, for which monitoring and alerting is set up, and also a feedback loop with customers. If there’s an issue, it’s dealt with by the standard oncall process. We discuss this process more in Part 5: “Reliable software engineering.”
A heavyweight release process is used by:
Highly regulated industries, such as healthcare, aviation or automotive.
Telecommunications providers, where it’s common to have ~6 months of thorough testing of changes before major changes are shipped to customers.
Banks, where bugs could cause financial losses.
Traditional companies with legacy codebases with little automated testing. These places want to keep quality high and are happy to slow down releases by adding verification stages.
2. TYPICAL SHIPPING PROCESSES
Different companies tend to take different steps in shipping to production. Below is a summary of typical approaches, highlighting the variety of processes:
Startups
Startups typically do fewer quality checks. These companies tend to prioritize moving fast and iterating quickly, and often do so without much of a safety net. This makes perfect sense if they don't have customers yet. As customers arrive, teams need to find ways to avoid regressions and the shipping of bugs.
Startups are usually too small to invest in automation, and so most do manual QA – including the founders being the ‘ultimate’ testers, while some places hire dedicated QA folks. As a company finds its product-market fit, it’s more common to invest in automation. And at tech startups that hire strong engineering talent, these teams can put automated tests in place from day one.
Traditional companies
These places tend to rely more heavily on QAs teams. Automation is sometimes present at more traditional companies, but typically they rely on large QA teams to verify what is built. Working on branches is also common; it's rare to have trunk-based development.
Code mostly gets pushed to production on a weekly schedule or even less frequently, after the QA team verifies functionality.
Staging and UAT (User Acceptance Testing) environments are more common, as are larger, batched changes shipped between environments. Sign-off is required from the QA team, the product manager, or the project manager, in order to progress the release to the next stage.
Large tech companies
These places typically invest heavily in infrastructure and automation related to shipping with confidence. Such investments often include automated tests which run quickly and deliver rapid feedback, canarying, feature flags and staged rollouts.
These companies aim for a high quality bar, but also to ship immediately when quality checks are complete, working on trunk. Tooling to deal with merge conflicts becomes important, given that some places can make over 100 changes on trunk per day. For details on QA at Big Tech, see the article How Big Tech does QA.
Meta’s core product
Facebook, as a product and engineering team, merits a separate mention, because this organization has a sophisticated and effective approach few other companies use.
This Meta product has fewer automated tests than many would assume, but on the other hand, Facebook has an exceptional automated canarying functionality, where the code is rolled out through 4 environments, from a testing environment with automation, through one that all employees use, then through a test market that is a smaller geographical region, and finally to all users. At each stage, the rollout automatically halts if the metrics are off.
3. PRINCIPLES AND TOOLS
What are principles and approaches worth following for shipping changes to production responsibly? Consider these:
Development environments
Use a local or isolated development environment. Engineers should be able to make changes on their local machine, or in an isolated environment unique to them. It’s more common for developers to work in local environments. However, places like Meta are shifting to remote servers for each engineer. From the article, Inside Facebook’s Engineering culture:
“Most developers work with a remote server, not locally. Starting from around 2019, all web and backend development is done remotely, with no code copied locally, and Nuclide facilitating this workflow. In the background, Nuclide was using virtual machines (VMs) at first, later moving to OnDemand instances – similar to how GitHub Codespaces works today – years before GitHub launched Codespaces.
Mobile development is still mostly done on local machines, as doing this in a remote setup, as with web and backend, has tooling challenges.”
Verify locally. After writing the code, do a local test to ensure it works as expected.
Testing and verification
Consider edge cases and test for them. Which obscure cases does your code change need to account for? Which real-world use cases haven’t you accounted for yet?
Before finalizing work on the change, compile a list of edge cases. Consider writing automated tests for them, if possible. At least do manual testing. Coming up with a list of unconventional edge cases is a task for which QA engineers or testers can be very helpful.
Write automated tests to validate your changes. After manually verifying your changes, exercise them with automated tests. If following a methodology like test driven development (TDD,) you might do this the other way around by writing automated tests first, then checking that your code change passes them.
Another pair of eyes: a code review. With your code changes complete, put up a pull requests and get somebody with context to look at your code changes. Write a clear, concise description of the changes, which edge cases are tested for, and get a code review.
All automated tests pass, minimizing the risk of regressions. Before pushing the code, run all the existing tests for the codebase. This is typically done automatically, via the CI/CD system (continuous integration/continuous deployment.)...
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by "ByteByteGo" <bytebytego@substack.com> - 11:38 - 7 Nov 2023