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EP72: OAuth 2.0 Explained With Simple Terms
EP72: OAuth 2.0 Explained With Simple Terms
Open in app or online This week’s system design refresher:
Git Merge vs. Rebase vs. Squash Commit (Youtube video)
OAuth 2.0 Explained With Simple Terms
Top 4 Forms of Authentication Mechanisms
Uber Tech Stack - CI/CD
Leadership Styles Around The World
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Git Merge vs. Rebase vs. Squash Commit
Oauth 2.0 Explained With Simple Terms
OAuth 2.0 is a powerful and secure framework that allows different applications to securely interact with each other on behalf of users without sharing sensitive credentials.
The entities involved in OAuth are the User, the Server, and the Identity Provider (IDP).
What Can an OAuth Token Do?
When you use OAuth, you get an OAuth token that represents your identity and permissions. This token can do a few important things:
Single Sign-On (SSO): With an OAuth token, you can log into multiple services or apps using just one login, making life easier and safer.
Authorization Across Systems: The OAuth token allows you to share your authorization or access rights across various systems, so you don't have to log in separately everywhere.
Accessing User Profile: Apps with an OAuth token can access certain parts of your user profile that you allow, but they won't see everything.
Remember, OAuth 2.0 is all about keeping you and your data safe while making your online experiences seamless and hassle-free across different applications and services.
Over to you: Imagine you have a magical power to grant one wish to OAuth 2.0. What would that be? Maybe your suggestions actually lead to OAuth 3.Latest articles
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"I Was Under Leveled!" — Avoiding the Tragedy of Making Only $500k a Year
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Top 4 Forms of Authentication Mechanisms
SSH Keys:
Cryptographic keys are used to access remote systems and servers securelyOAuth Tokens:
Tokens that provide limited access to user data on third-party applicationsSSL Certificates:
Digital certificates ensure secure and encrypted communication between servers and clientsCredentials:
User authentication information is used to verify and grant access to various systems and services
Over to you: How do you manage those security keys? Is it a good idea to put them in a GitHub repository?
Guest post by Govardhana Miriyala Kannaiah.
Uber Tech Stack - CI/CD
Uber is one of the most innovative companies in the engineering field. Let’s take a look at their CI/CD tech stacks.
Note: This post is based on research on Uber engineering blogs. If you spot any inaccuracies, please let us know.
Project planning: JIRA
Backend services: Spring Boot to develop their backend services. And to make things even faster, they've created a nifty configuration system called Flipr that allows for speedy configuration releases.
Code issues: They developed NullAway to tackle NullPointer problems and NEAL to lint the code. Plus, they built Piranha to clean out-dated feature flags.
Repository: They believe in Monorepo. It uses Bazel on a large scale.
Testing: They use SLATE to manage short-lived testing environments and rely on Shadower for load testing by replaying production traffic. They even developed Ballast to ensure a smooth user experience.
Experiment platform: it is based on deep learning and they've generously open-sourced parts of it, like Pyro.
Build: Uber packages their services into containers using uBuild. It's their go-to tool, powered by Buildkite, for all the packaging tasks.
Deploying applications: Netflix Spinnaker. It's their trusted tool for getting things into production smoothly and efficiently.
Monitoring: Uber built their own monitoring systems. They use the uMetric platform, built on Cassandra, to keep things consistent.
Special tooling: Uber relies on Peloton for capacity planning, scheduling, and operations. Crane builds a multi-cloud infrastructure to optimize costs. And with uAct and the OnCall dashboard, they've got event tracing and on-call duty management covered.
Have you ever used any of Uber's tech stack for CI/CD? What are your thoughts on their CI/CD setup?Leadership Styles Around The World
Different leadership styles can be profoundly influenced by cultural differences. Do you agree with the diagram?
Credit: ‘When cultures collide’ book by Richard D. Lewis
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by "ByteByteGo" <bytebytego@substack.com> - 11:35 - 12 Aug 2023 -
Cómo usar la IA generativa para crear valor
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La IA generativa sigue causando sensación en todos los sectores por una buena razón: la investigación de McKinsey estima que podría agregar el equivalente a entre $2.6 billones y $4.4 billones de dólares de valor anualmente. Pero, ¿cómo pueden los líderes convertir la promesa de la IA generativa en valor sostenible para las empresas? En el primer artículo destacado de este mes, Aamer Baig, Sven Blumberg, Eva Li, Douglas Merrill, Adi Pradhan, Megha Sinha, Alexander Sukharevsky y Stephen Xu identifican nueve acciones que todos los líderes tecnológicos pueden llevar a cabo para crear valor, orquestar la tecnología y los datos, escalar las soluciones y gestionar el riesgo. En nuestro segundo artículo destacado, Frithjof Lund, Dana Maor, Nina Spielmann y Alexander Sukharevsky plantean cuatro preguntas sobre la IA generativa que los consejos de administración deberían formular a los directivos de las empresas, así como una pregunta que los miembros del consejo deberían hacerse a sí mismos. Otros temas destacados de la edición de este mes son los siguientes:
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por qué los mandos intermedios son el verdadero centro de las organizaciones
•
cuatro tareas imprescindibles que deben realizar los ejecutivos del sector minorista para gestionar un equipo multigeneracional
•
cómo gestionar el nuevo equipo multigeneracional
•
los resultados de este mes de la Encuesta Global McKinsey sobre las condiciones económicas
La selección de nuestros editores
LOS DESTACADOS DE ESTE MES
Perspectivas de las condiciones económicas en tiempos turbulentos, junio de 2023
El optimismo económico sigue creciendo en gran parte del mundo, mientras que las opiniones sobre las tasas de interés y los riesgos potenciales para el crecimiento global han cambiado desde el trimestre pasado.
Actualícese
La transición de materiales cero neto: Implicaciones para las cadenas de suministro globales
Para proporcionar materiales esenciales para la transición energética, las industrias metalúrgica y minera deben adaptar sus cadenas de suministro mundiales.
Profundice más
La empresa reconfigurada: Cómo cinco compañías se desarrollaron para superar a la competencia
Las lecciones de cinco empresas reconfiguradas muestran cómo convertir las ganancias digitales iniciales en ganancias para toda la empresa.
Desarrolle distancia digitalEsperamos que disfrute de los artículos en español que seleccionamos este mes y lo invitamos a explorar también los siguientes artículos en inglés.
ENCUESTA DESTACADA
McKinsey Explainers
Find direct answers to complex questions, backed by McKinsey’s expert insights.
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McKinsey Classics
What’s the link between “moments of truth” and customers’ purchase decisions? Read our 2006 classic “The ‘moment of truth’ in customer service” to learn more.
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by "Destacados de McKinsey" <publishing@email.mckinsey.com> - 08:20 - 12 Aug 2023 -
We missed you at Beyond the Continuum: The Importance of Quantization in Deep Learning
We missed you at Beyond the Continuum: The Importance of Quantization in Deep Learning
Beyond the Continuum: The Importance of Quantization in Deep Learning
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- Watch tutorials, view use cases and see all the toolkit options at openvino.ai
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by "Intel Developer Zone" <intel.developer.zone@plan.intel.com> - 03:30 - 11 Aug 2023 -
Gen AI in the limelight
The Shortlist
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Curated by Liz Hilton Segel, chief client officer and managing partner, global industry practices, & Homayoun Hatami, managing partner, global client capabilities
Twice monthly, we bring you four new insights out of the dozens we publish that we think are worth a second glance from any business leader in any geography. In this edition, we look at gen AI’s meteoric rise, how digital twins could revolutionize product development, and more. We hope you enjoy the read.
—Liz and Homayoun
Generative AI makes a loud entrance. That’s one of the first findings of the McKinsey Technology Council’s roundup of this year’s 15 tech trends. The Council estimated the potential for value creation and laid out some strategies for how to do it. Applied AI is on everyone’s mind, but the Council also pinpointed exciting changes in advanced connectivity, green technologies, and much more.
Roll out the welcome mat with McKinsey Technology Trends Outlook 2023 by Michael Chui, Mena Issler, Roger Roberts, and Lareina Yee.
Start your engines. This time last year, almost nobody was even wondering about generative AI, much less planning how to utilize it. Now, it’s almost all we can talk about—and a third of respondents to the latest annual McKinsey Global Survey say their organizations are already using gen AI regularly in at least one business function. Looking ahead, three-quarters of all respondents expect gen AI to disrupt their industry’s competition in the next three years.
For more wow stats, and to chart gen AI’s path through your organization, scroll through The state of AI in 2023: Generative AI’s breakout year, a survey developed by Michael Chui, Bryce Hall, Alex Singla, Alexander Sukharevsky, and Lareina Yee.
Dive deep into how these technologies can juice product development in Digital twins: The key to smart product development, by Roberto Argolini, Federico Bonalumi, Johannes Deichmann, and Stefania Pellegrinelli. And for some background, check out our Explainer on digital twins.
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by "McKinsey Shortlist" <publishing@email.mckinsey.com> - 02:22 - 11 Aug 2023 -
Fleet Parts Inventory Management System - Manage, Reduce Downtime and Cost
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by "Sunny Thakur" <sunny.thakur@uffizio.com> - 09:00 - 10 Aug 2023 -
Why Do We Need a Message Queue?
Why Do We Need a Message Queue?
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In this issue, we’re diving deep into a widely-used middleware: the message queue.
Message queues have a long history. They are often used for communication between different systems. Figure 1 illustrates the concept of a message queue by comparing it to how things work at Starbucks.
At Starbucks, the cashier takes the order and collects money, then they write the customer’s name on a coffee cup to hand over to the next step. The coffee maker picks up the order and the cup and makes coffee. The customer then picks up the coffee at the counter. The three steps work asynchronously. The cashier just drops the order in the form of a coffee cup and does not wait for its completion. The coffee maker just drops the completed coffee on the counter and does not wait for the customer to pick it up.
When you place an order at Starbucks, the cashier takes the order and scribbles your name on a cup and moves to the next customer. A barista then picks up the cup, prepares your drink, and leaves it for you to collect. The beauty of this process is that each step operates independently. It is much like an asynchronous system.
Figure 1 Starbucks as an analogy for message queues This asynchronous processing, where each step doesn’t have to wait for the previous one to complete, significantly increases the throughput of the system. For instance, the cashier doesn’t wait for your drink to be made before taking another order.
A Message Queue Example
Now, let’s shift our focus to a real-world example: flash sales in e-commerce. Flash sales can strain systems due to surge in user activity. Many strategies are employed to manage this demand, and message queues often play a pivotal role in backend optimizations.
A simplified eCommerce flash sale architecture is listed in Figure 2.
Steps 1 and 2: A customer places an order to the order service.
Step 3: Before processing the payment, the order service reserves the selected inventory.
Step 4: The order service then sends a payment instruction to the payment service. The payment service fans out to 3 services: payment channels, notifications, and analytics.
Steps 5.1 and 6.1: The payment service sends the payment instruction to the payment channel service. The payment channel service talks to external PSPs (Payment Service Providers) to finalize the transaction.
Steps 5.2 and 6.2: The payment service sends a notification to the notification service, which then sends a notification to the customer via email or SMS.
Step 5.3: The payment service sends transaction details to the analytics service.
Figure 2 A simplified eCommerce flash sale architecture A key takeaway here is that a seamless user experience is crucial during flash sales. To maintain service responsiveness despite high traffic, message queues can be integrated at multiple stages to ensure optimal performance.
Benefits of Message Queues
Fan-out
The payment service sends data to three downstream services for different purposes: payment channels, notifications, and analytics. This fan-out method is like someone shouting a message across a room; whoever needs to hear it, does. The producer simply drops the message on the queue, and the consumers process the message at their own pace.
Asynchronous Processing
Drawing from the Starbucks analogy, just as the cashier doesn’t wait for the coffee to be made, the order service does not wait for the payments to finalize. The payment instruction is placed on the queue, and the customer is notified once it’s finalized.
Rate Limiting
In a flash sale, there can be tens of thousands of concurrent users placing orders simultaneously. It is crucial to strike a balance between accommodating eager customers and maintaining system stability. A common approach is to cap the number of incoming requests within a specific time frame to match the capacity of the system. Excess requests might be rejected or asked to retry after a short delay. This approach ensures the system remains stable and doesn’t get overwhelmed. For requests that make it through, message queues ensure they’re processed efficiently and in order. If one part of the system is momentarily lagging, the order isn’t lost. It’s held in the queue until it can be processed. This ensures a smooth flow even under pressure.
Decoupling
Our design uses message queues in various places. The overall architecture is different from the simplified version presented in Figure 2. Services interact with each other using well-defined message interfaces rather than depending tightly on each other. Each service can be modified and deployed independently. Each component can be developed in a different programming language. This brings flexibility to the architectural design.
Horizontal Scalability
Since the services are decoupled, we can scale them independently based on demand. Each service can serve in a different capacity, so we can scale based on their planned QPS (query per second) or TPS (transaction per second).
Message Persistence
Message queues can also be used as middleware that stores messages. If the upstream service crashes, the downstream service can always pick up the messages from the message queue to process. In this way, the recovery function is moved out of each service and becomes the responsibility of the message queue.
Batch Processing
Sometimes in the processing flow, we need to batch the data to get the summary. For example, when the payment service sends updates to the analytics service, the analytics service does not need to perform real-time updates but rather set up a tumbling window to process in batches. The batch processing is the requirement of the downstream services, so there is no need for the payment service to know about it, just drop the messages into the queue.
Message Ordering
In a flash sale, there is a limited number of inventory items. For example, a flash sale offers only 10 iPhones, but there are over 10,000 users who place the order. How do we decide on the order? Having a message queue to keep all the orders will have a natural order: The first 10 in the queue will get the iPhone.
In Figure 3 we put everything together, where the services are connected via message queues and decoupled. In this way, the architecture can achieve higher throughput.
Figure 3 Use message queues for flash sale architecture... Keep reading with a 7-day free trial
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by "ByteByteGo" <bytebytego@substack.com> - 11:37 - 10 Aug 2023 -
Ship code faster with unmatched detection accuracy of security risks
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August 2023
Ship code faster with unmatched detection accuracy of security risks See and secure every application you build and run, and ship code faster with New Relic interactive application security testing (IAST). Pinpoint vulnerabilities with unmatched detection accuracy and proof-of-exploit for faster remediation. Now in public preview!Learn more 
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Discover how New Relic empowers businesses like DAZN and Intelligent Growth Solutions with comprehensive observability solutions—improving performance and reducing costs.
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Learn the top five tips to ensure accurate log forwarding, gain insights, and troubleshoot effectively. Read our blog post for a seamless log monitoring experience.
Upcoming User Groups New Relic meetups are back! Tap into the expertise of our local engineers and fellow users as they show you what’s new in observability and share best practices on how they are using New Relic.
Our theme will be ‘back to school’, where we’ll give you essential tips and shortcuts to help you prepare for the peak sales period ahead.
New Relic User Meetup: Manchester
Tuesday 19th September 2023 | 2:00pm - 5:30pm (BST)Sixes Cricket, The Corn Exchange, New Cathedral St, Manchester M4 3TR
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Join our expert from New Relic University, Liam Hurrell, on the 17th of August at 10 am BST / 11 am CEST, for a comprehensive introduction to New Relic APM 360, the cutting-edge solution for modern distributed applications. Prevent issues before they escalate and troubleshoot faster with integrated infrastructure monitoring, error user impact analysis, and distributed tracing.
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by "New Relic" <emeamaketing@newrelic.com> - 06:41 - 10 Aug 2023 -
ขยายธุรกิจของคุณด้วย Industrial Edge Computing
Schneider Electric
ขยายธุรกิจของคุณด้วย Industrial Edge ComputingDear Abul,
อุตสาหกรรม 4.0 กำลังขับเคลื่อนคลื่นเทคโนโลยีไอทีที่ไม่เคยเกิดขึ้นมาก่อนในพื้นที่อุตสาหกรรม และการปรับใช้จำนวนมากเหล่านี้จะถูกวางไว้ที่เอดจ์ เนื่องจากผู้รวมระบบอุตสาหกรรมอาจไม่มีความสามารถภายในองค์กรที่จะจัดการกับความท้าทายที่เกิดจากอุตสาหกรรมเอดจ์ได้อย่างเต็มที่ Gartner คาดการณ์ว่า "50% ของผู้ให้บริการ OT จะสร้างความร่วมมือที่สำคัญกับผู้ให้บริการด้านไอทีเป็นศูนย์กลางสำหรับการนำเสนอ IoT"
ผู้ให้บริการโซลูชันไอทีที่ช่ำชองตระหนักดีว่าการแบ่งไซโลแบบดั้งเดิมระหว่างไอทีและ OT จะสร้างโอกาสใหม่ในการสร้างความแตกต่างและขยายธุรกิจของพวกเขา
ในเซสชันนี้ ผู้เชี่ยวชาญจาก AVEVA, Hewlett Packard Enterprise และ Schneider Electric หารือเกี่ยวกับ: โอกาสสำหรับผู้ให้บริการโซลูชันด้านไอทีเอดจ์อุตสาหกรรม การประมวลผลเอดจ์อุตสาหกรรมใหม่ การออกแบบอ้างอิงเพื่อช่วยอำนวยความสะดวกในการเปลี่ยนแปลงทางดิจิทัลของลูกค้า และวิธีที่แพลตฟอร์ม Schneider Electric Exchange นำพันธมิตรด้าน IT/OT มารวมกันเพื่อให้ได้มาซึ่งธุรกิจใหม่
© 2023 Schneider Electric. All Rights Reserved. Schneider Electric is a trademark and the property of Schneider Electric SE, its subsidiaries and affiliated companies. All other trademarks are the property of their respective owners.
by "Noe Noe OO, Schneider Electric" <Marcom.thailand@se.com> - 09:04 - 9 Aug 2023 -
WooCommerce: You are now unsubscribed
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Prep your business for the future
Prep your business for the future
Staff Picks
Hi there,
It’s Yida from Woo. This month, I want to share some of my favorite solutions to help you engage with, convince, and convert more shoppers. Ready to kick things up a notch in the second half of 2023? Let's go!
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Coinbase Commerce
Prep your business for the future and attract new global markets with one of the most trusted names in cryptocurrency.
Securely accept crypto payments, smoothly convert to cash or stablecoin, and get protected from chargebacks when you offer customers a more flexible way to pay.
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Tiered Pricing Table
Display tiered pricing tables to instantly show shoppers how much they can save – and close more sales.
You can offer dynamic discounts with rules for categories, selected products, or even specific customers. Compatible with Woo Subscriptions, Woo Product Bundles, and Elementor.
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Really Simple Featured Video
Engage visitors by adding featured video support to your products, categories, and groups.
Upload videos or embed them from YouTube, Dailymotion, and Vimeo in a snap. Take control of the aspect ratio, playback, and picture-in-picture options. Lightweight and intuitive, with no unnecessary code bloat.
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by "Yida at WooCommerce" <support+marketing@woocommerce.com> - 12:17 - 9 Aug 2023 -
[Report] Drowning in threats? Track the right vulnerability metrics
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Are you looking to enhance your vulnerability management program? Engineering teams often struggle with ineffective operational and technical metrics around security.
To address this, Gartner® published a report outlining the importance of outcome-driven metrics aligned with risk and business objectives. The report includes key findings, recommendations, and in-depth analysis. It provides valuable insights into designing vulnerability management metrics that cater to organizational stakeholders beyond security, incorporating business-specific risk and performance indicators.
By aligning metrics with threat, asset, and business context, you can improve remediation and mitigation efforts while demonstrating measurable business value.
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by "New Relic" <emeamarketing@newrelic.com> - 05:36 - 8 Aug 2023 -
ขยายบริการพลังงานที่มีการจัดการของคุณได้อย่างง่ายดาย
Schneider Electric
รับคำแนะนำทีละขั้นตอนสำรวจข้อเสนอซอฟต์แวร์และบริการดิจิตอลของเรา เพื่อค้นหาบริการด้านพลังงานที่มีการจัดการที่สอดคล้องกับธุรกิจของคุณได้อย่างง่ายดาย คู่มืออิเล็กทรอนิกส์ที่จำเป็นฉบับใหม่ของเราให้รายละเอียดทั้งหมด เพื่อให้คุณสามารถรวมคู่มือที่ถูกต้องได้อย่างง่ายดาย
ปรับใช้อย่างง่ายดายด้วยโซลูชันแบบเบ็ดเสร็จระบบนิเวศแบบบูรณาการของเราช่วยลดความยุ่งยากในการออกแบบ การทำงานร่วมกันของระบบ และการปรับใช้แอปพลิเคชัน Edge Computing ที่มีความสำคัญต่อธุรกิจ ทำให้ไซต์ระยะไกลหลายแห่งของคุณออนไลน์ได้ตรงเวลาและอยู่ในงบประมาณ
สร้างกระแสรายได้ที่เกิดซ้ำได้อย่างง่ายดายรับความมั่นใจในการสร้างแนวปฏิบัติ Managed Power Services ที่ประสบความสำเร็จโดยทำโปรแกรม Edge Software & Digital Services เรียนรู้ว่าข้อเสนอของเราสามารถยกระดับความสามารถของทีมและความต้องการในตลาดได้อย่างไรลดความซับซ้อนในการออกแบบและปรับใช้โซลูชันสำหรับลูกค้าของคุณลงทะเบียนสำหรับ mySchneider IT Solutions Partner Program ที่ได้รับรางวัล© 2023 Schneider Electric, All Rights Reserved. Schneider Electric trademarks are owned by Schneider Electric or its affiliated companies in the United States and other countries. All other trademarks are property of their respective owners.
by "APC by Schneider Electric" <reply@se.com> - 11:00 - 7 Aug 2023 -
Driver Monitoring System at the Wheel: Elevating Safety and Efficiency Across Industries
Driver Monitoring System at the Wheel: Elevating Safety and Efficiency Across Industries
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Safeguarding lives, enhancing efficiency with DMS in Emergency Services.
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Introducing Woo Express — all-in-one ecommerce
Introducing Woo Express — all-in-one ecommerce
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Hotels in the 2030s: Perspectives from Accor’s C-suite
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by "McKinsey & Company" <publishing@email.mckinsey.com> - 10:27 - 7 Aug 2023 -
Taking the pulse of social media marketing: A leader’s guide
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Brought to you by Liz Hilton Segel, chief client officer and managing partner, global industry practices, & Homayoun Hatami, managing partner, global client capabilities
Social media platforms seem to be everywhere all at once, to borrow from the title of a popular movie. With an estimated 4.9 billion users around the world and younger generations using it as their shopping channel of choice, social media can be a critical growth and marketing tool for companies. Leaders who use social media are viewed favorably by employees and external stakeholders alike. Yet fewer than half of top CEOs have a strong digital presence, and despite investing heavily in social media marketing, executives are not fully convinced of its positive impact. This week, let’s explore how social media can—and cannot—benefit your organization.
About 92 percent of US companies use social media for marketing. But given a burgeoning number of social media platforms and users, organizations may find it difficult to develop a cohesive social media strategy. We find that four primary functions of social media are vital for businesses: monitor, respond, amplify, and lead consumer behavior. For example, 40 percent of consumers who make a complaint expect brands to respond within an hour. That may seem unrealistic, but companies meeting that high standard—currently, only about 50 percent of enterprises—stand a better chance of affecting consumer behavior positively. It may also be possible to lead long-term changes in consumer behavior through product launches, targeted deals and offers, and input from customers on social media.
That’s the number of new users signing up to their first social media account every second. Can your customer service organization handle that kind of volume? Challenges you may encounter include varying customer expectations across different platforms, unpredictable service demands, and skill gaps among staff. “The quality of servicing on social media can have a significant impact on brand perception,” caution McKinsey senior partner Renny Thomas and colleagues. “Social content can go viral quickly, potentially turning small or isolated customer service issues into PR disasters.” Best practices for social media servicing include developing an end-to-end service strategy, defining workflows clearly, and deploying the appropriate technologies.
That’s an observation from McKinsey researchers in 2012, when they noted that the reason for the leaders’ discomfort may have been the perception that social media initiatives lacked a clear return on investment. In the years since then, social media marketing has gone well beyond the experimental stage, but organizations remain unsure of its impact—possibly because “many brands entered the social media front lines without a clear strategy,” according to the author of a Harvard Business Review article. To ensure that social media objectives align with broader marketing strategies, companies need to “coordinate data, tools, technology, and talent across multiple functions,” suggest the McKinsey experts.
Companies spend millions on celebrity product endorsements, which appear to influence customer choices. Influencer marketing does something similar by enabling consumers to collaborate with brands to promote products to their followers on social media. “It used to be the case that you had to be a big celebrity, or you had to have a big name behind you to get one of these deals,” says Katie Freiberg, head of growth marketing at lingerie manufacturer ThirdLove, in a discussion with McKinsey partners Dianne Esber and Jane Wong. “But now anyone can be an influencer. It’s really all about having that following.” Larger companies that form influencer partnerships may find it hard to create the authenticity that smaller brands often do more easily, but managed properly, these arrangements can “supplement and sometimes overshadow traditional marketing campaigns,” according to Esber and Wong.
Negative social media content—whether the result of hacking, customer comments, or reactions to your own organization’s posts—can destroy a brand’s reputation. A strong culture of security and risk management can help counter serious cyberthreats, says Julia Houston, chief strategy and marketing officer at credit bureau Equifax, in a conversation with McKinsey senior partner Ida Kristensen. “Culture is the thing that separates good security from great security,” Houston says. On a lighter note, brands can harm themselves all on their own: beware of “boring” posts, warns the author of an Entrepreneur magazine article. “Giving a fresh perspective on an old topic or going against the status quo is what gets noticed. The last thing you want to be is forgettable.”
Lead socially.
— Edited by Rama Ramaswami, senior editor, New York
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by "McKinsey Leading Off" <publishing@email.mckinsey.com> - 02:24 - 7 Aug 2023 -
Recent reader faves
On Point
Brought to you by Liz Hilton Segel, chief client officer and managing partner, global industry practices, & Homayoun Hatami, managing partner, global client capabilities
We hope you’re enjoying On Point’s insights about what the daily news means for your business. After today, we’ll be taking a brief hiatus before returning to your inbox on August 21. In the meantime, make sure you haven’t missed these recent popular issues:
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by "McKinsey On Point" <publishing@email.mckinsey.com> - 12:33 - 7 Aug 2023 -
Revisit our readers' favorite charts
The Week in Charts
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Thanks for reading The Week in Charts, your source for visuals that help make sense of the latest news and business trends. As summer reaches its peak on our side of the world, we’ll be taking a two-week break from our typical send schedule, returning to your inbox on August 19.
While we’re away, look back at some recent charts that resonated with our readers:If you have friends or colleagues who might enjoy The Week in Charts, consider forwarding this email to them or sharing it on LinkedIn, Twitter, or Facebook. They can sign up for this or any of our 40+ other free email subscriptions at mckinsey.com/subscriptions. (And you might also want to revisit that page to see our full newsletter lineup.)
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by "McKinsey Week in Charts" <publishing@email.mckinsey.com> - 03:50 - 5 Aug 2023 -
EP71: CI/CD Pipeline Explained in Simple Terms
EP71: CI/CD Pipeline Explained in Simple Terms
Open in app or online This week’s system design refresher:
Why Google and Meta Put Billion Lines of Code In 1 Repository? (Youtube video)
CI/CD Pipeline Explained in Simple Terms
What does API gateway do?
Docker vs. Kubernetes. Which one should we use?
Cloud Native Anti Patterns
QA Wolf gets you to 80% automated test coverage in 4 months (Sponsored)
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Why Google and Meta Put Billion Lines of Code In 1 Repository?
CI/CD Pipeline Explained in Simple Terms
Section 1 - SDLC with CI/CD
The software development life cycle (SDLC) consists of several key stages: development, testing, deployment, and maintenance. CI/CD automates and integrates these stages to enable faster, more reliable releases.
When code is pushed to a git repository, it triggers an automated build and test process. End-to-end (e2e) test cases are run to validate the code. If tests pass, the code can be automatically deployed to staging/production. If issues are found, the code is sent back to development for bug fixing. This automation provides fast feedback to developers and reduces risk of bugs in production.
Section 2 - Difference between CI and CD
Continuous Integration (CI) automates the build, test, and merge process. It runs tests whenever code is committed to detect integration issues early. This encourages frequent code commits and rapid feedback.
Continuous Delivery (CD) automates release processes like infrastructure changes and deployment. It ensures software can be released reliably at any time through automated workflows. CD may also automate the manual testing and approval steps required before production deployment.
Section 3 - CI/CD Pipeline
A typical CI/CD pipeline has several connected stages:
- Developer commits code changes to source control
- CI server detects changes and triggers build
- Code is compiled, tested (unit, integration tests)
- Test results reported to developer
- On success, artifacts are deployed to staging environments
- Further testing may be done on staging before release
- CD system deploys approved changes to productionLatest articles
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What does API gateway do?
The diagram below shows the detail.
Step 1 - The client sends an HTTP request to the API gateway.
Step 2 - The API gateway parses and validates the attributes in the HTTP request.
Step 3 - The API gateway performs allow-list/deny-list checks.
Step 4 - The API gateway talks to an identity provider for authentication and authorization.
Step 5 - The rate limiting rules are applied to the request. If it is over the limit, the request is rejected.
Steps 6 and 7 - Now that the request has passed basic checks, the API gateway finds the relevant service to route to by path matching.
Step 8 - The API gateway transforms the request into the appropriate protocol and sends it to backend microservices.
Steps 9-12: The API gateway can handle errors properly, and deals with faults if the error takes a longer time to recover (circuit break). It can also leverage ELK (Elastic-Logstash-Kibana) stack for logging and monitoring. We sometimes cache data in the API gateway.
Over to you:What’s the difference between a load balancer and an API gateway?
Do we need to use different API gateways for PC, mobile and browser separately?
Docker vs. Kubernetes. Which one should we use?
What is Docker ?
Docker is an open-source platform that allows you to package, distribute, and run applications in isolated containers. It focuses on containerization, providing lightweight environments that encapsulate applications and their dependencies.
What is Kubernetes ?
Kubernetes, often referred to as K8s, is an open-source container orchestration platform. It provides a framework for automating the deployment, scaling, and management of containerized applications across a cluster of nodes.
How are both different from each other ?
Docker: Docker operates at the individual container level on a single operating system host.
You must manually manage each host and setting up networks, security policies, and storage for multiple related containers can be complex.
Kubernetes: Kubernetes operates at the cluster level. It manages multiple containerized applications across multiple hosts, providing automation for tasks like load balancing, scaling, and ensuring the desired state of applications.
In short, Docker focuses on containerization and running containers on individual hosts, while Kubernetes specializes in managing and orchestrating containers at scale across a cluster of hosts.
Over to you: What challenges prompted you to switch from Docker to Kubernetes for managing containerized applications?Guest post by Govardhana Miriyala Kannaiah.
Cloud Native Anti Patterns
By being aware of these anti-patterns and following cloud-native best practices, you can design, build, and operate more robust, scalable, and cost-efficient cloud-native applications.
Monolithic Architecture:
One large, tightly coupled application running on the cloud, hindering scalability and agilityIgnoring Cost Optimization:
Cloud services can be expensive, and not optimizing costs can result in budget overrunsMutable Infrastructure:
- Infrastructure components are to be treated as disposable and are never modified in place
- Failing to embrace this approach can lead to configuration drift, increased maintenance, and decreased reliabilityInefficient DB Access Patterns:
Use of overly complex queries or lacking database indexing, can lead to performance degradation and database bottlenecksLarge Containers or Bloated Images:
Creating large containers or using bloated images can increase deployment times, consume more resources, and slow down application scalingIgnoring CI/CD Pipelines:
Deployments become manual and error-prone, impeding the speed and frequency of software releasesShared Resources Dependency:
Applications relying on shared resources like databases can create contention and bottlenecks, affecting overall performanceUsing Too Many Cloud Services Without a Strategy:
While cloud providers offer a vast array of services, using too many of them without a clear strategy can create complexity and make it harder to manage the application.Stateful Components:
Relying on persistent state in applications can introduce complexity, hinder scalability, and limit fault tolerance
Over to you:
What anti-patterns have you faced in your cloud-native journey? How did you conquer them?Latest articles
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