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Driver Monitoring Software that Tracks and Manages Driver Activities Embracing Safe Driving Behaviors for a Better Tomorrow.
Driver Monitoring Software that Tracks and Manages Driver Activities Embracing Safe Driving Behaviors for a Better Tomorrow.
A critical aspect of fleet management that can impact everything from safety to costs and productivity.A critical aspect of fleet management that can impact everything from safety to costs and productivity.
Find Out What Makes Our Software Stand Out from the Crowd
Driver Performance
Refers to evaluating a driver's skills, behaviors, and effectiveness in carrying out their duties. Used to allocate drivers based on performance, ensuring that the most effective drivers are assigned to the most important routes or tasks.
Driver scoring
Scoring provides a way for fleet managers to objectively assess driver performance and identify areas for improvement. Fleet managers can define their own scoring parameters to tailor assessments to their specific goals and priorities.
Alerts and Reports
- Violation Report
- Driver Rating
- Speeding Alerts
- Harsh Braking Alerts
Provides instances of unsafe behavior by drivers. It includes violations such as speeding, harsh braking, etc.
A report that provides an assessment of individual driver performance based on predefined criteria.
When a driver exceeds the predefined speed limit.
When a driver applies brakes abruptly or forcefully.
Empower your clients with driving behavior and help them save on costs
Uffizio Technologies Pvt. Ltd., 4th Floor, Metropolis, Opp. S.T Workshop, Valsad, Gujarat, 396001, India
by "Sunny Thakur" <sunny.thakur@uffizio.com> - 07:00 - 30 Oct 2023 -
A leader’s guide to telling it like it is
We need to talk
by "McKinsey Leading Off" <publishing@email.mckinsey.com> - 01:06 - 30 Oct 2023 -
Are you back in the office? In the hybrid work era, employee expectations are changing.
On Point
The future of real estate Brought to you by Liz Hilton Segel, chief client officer and managing partner, global industry practices, & Homayoun Hatami, managing partner, global client capabilities
•
History lesson. It’s important to know the historical context when considering the US office market, David Steinbach, Hines’ global chief investment officer and cohead of investment management, shares with McKinsey partner Brian Vickery in a recent episode of Deal Volume. Tax reform in the 1980s and about 15 years of 0% interest rates incentivized landlords to “increase rent and create higher tenant inducements,” Vickery explains. That in turn raised tenants’ expectations and “distorted the dynamics of supply and demand within office buildings.”
— Edited by Belinda Yu, editor, Atlanta
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by "McKinsey On Point" <publishing@email.mckinsey.com> - 12:41 - 30 Oct 2023 -
โปรโมชั่น Smart Variable Speed Drive
Schneider Electric
Industries of the FutureSmart Variable Speed Drive - Industrial IoT Solutionพบกับ Smart Variable Speed Drive หรือ Invertor Solutions สุดล้ำที่สามารถสร้างสิ่งที่ดีที่สุดให้กับคุณด้วยสมาร์ทเทคโนโลยี เพื่อตอบรับการเข้าสู่ยุค Industrial iIOT
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คลิกด้านล่างเพื่อดูรายละเอียดโปรโมชั่นได้เลย!+ Lifecycle Services From energy and sustainability consulting to optimizing the life cycle of your assets, we have services to meet your business needs. Schneider Electric
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by "Schneider Electric" <reply@se.com> - 10:01 - 29 Oct 2023 -
A new tool to visualize flows of trade around the world
Deepen your understanding Brought to you by Liz Hilton Segel, chief client officer and managing partner, global industry practices, & Homayoun Hatami, managing partner, global client capabilities
New from McKinsey & Company
G7 trade representatives are convening in Osaka, Japan, today for the G7 Trade Ministers’ Meeting. As global economic connections continue to shift and reconfigure, collaboration is critical to addressing sustainability and resilience in the global trading system. A new interactive tool from the McKinsey Global Institute (MGI)—which draws on two decades worth of data covering more than 50 economies, 15 major sectors, and more than 100 subsectors across various manufactured goods and resources categories—can help inform decision making around growth opportunities, supply chain dynamics, and other trends that depend on global trade flows. Check out the tool, developed by MGI’s Jeongmin Seong, Olivia White, and Jonathan Woetzel, with contributions from other McKinsey colleagues and academic advisors, and explore more insights on the global flows that connect our world.
MORE FROM MCKINSEY
To see more essential reading on topics that matter, visit McKinsey Themes.
— Edited by Eleni Kostopoulos, managing editor, New York
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by "McKinsey & Company" <publishing@email.mckinsey.com> - 05:29 - 28 Oct 2023 -
The week in charts
The Week in Charts
Transitions in banking, medtech R&D spending, and more Share these insights
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by "McKinsey Week in Charts" <publishing@email.mckinsey.com> - 02:02 - 28 Oct 2023 -
EP83: Explaining 9 Types of API Testing
EP83: Explaining 9 Types of API Testing
This week’s system design interview: Python Vs C++ Vs Java! (Youtube video) Explaining 9 types of API testing API Vs SDK! System Design for Everyone! Explain the Top 6 Use Cases of Object Stores How to Build Your Engineering Metrics Program (Guide) (Sponsored) Forwarded this email? Subscribe here for moreThis week’s system design interview:
Python Vs C++ Vs Java! (Youtube video)
Explaining 9 types of API testing
API Vs SDK!
System Design for Everyone!
Explain the Top 6 Use Cases of Object Stores
How to Build Your Engineering Metrics Program (Guide) (Sponsored)
While sales and marketing have clear, well understood dashboards, engineering insight often feels just out of reach.
Structuring and correlating engineering data with a metrics program provides holistic visibility into engineering health, fosters delivery predictability, improves dev experience, and helps you communicate with the rest of the business in a common language.
Use this free guide to start your metrics program–inside you’ll learn to:
Identify leading and lagging indicators of engineering health
Benchmark metrics and define “good” for your team
Surface risk indicators and improvement opportunities
Build an improvement strategy with automation and goal setting
Python Vs C++ Vs Java!
Explaining 9 types of API testing
Smoke Testing
This is done after API development is complete. Simply validate if the APIs are working and nothing breaks.Functional Testing
This creates a test plan based on the functional requirements and compares the results with the expected results.Integration Testing
This test combines several API calls to perform end-to-end tests. The intra-service communications and data transmissions are tested.Regression Testing
This test ensures that bug fixes or new features shouldn’t break the existing behaviors of APIs.Load Testing
This tests applications’ performance by simulating different loads. Then we can calculate the capacity of the application.Stress Testing
We deliberately create high loads to the APIs and test if the APIs are able to function normally.Security Testing
This tests the APIs against all possible external threats.UI Testing
This tests the UI interactions with the APIs to make sure the data can be displayed properly.Fuzz Testing
This injects invalid or unexpected input data into the API and tries to crash the API. In this way, it identifies the API vulnerabilities.
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API Vs SDK!
API (Application Programming Interface) and SDK (Software Development Kit) are essential tools in the software development world, but they serve distinct purposes:
API:
An API is a set of rules and protocols that allows different software applications and services to communicate with each other.It defines how software components should interact.
Facilitates data exchange and functionality access between software components.
Typically consists of endpoints, requests, and responses.
SDK:
An SDK is a comprehensive package of tools, libraries, sample code, and documentation that assists developers in building applications for a particular platform, framework, or hardware.Offers higher-level abstractions, simplifying development for a specific platform.
Tailored to specific platforms or frameworks, ensuring compatibility and optimal performance on that platform.
Offer access to advanced features and capabilities specific to the platform, which might be otherwise challenging to implement from scratch.
The choice between APIs and SDKs depends on the development goals and requirements of the project.
Over to you:
Which do you find yourself gravitating towards – APIs or SDKs – Every implementation has a unique story to tell. What's yours?System Design for Everyone!
We've open-sourced the 'System Design 101' GitHub repo last week, which has just reached 35,000 stars.
Thanks to everyone who has starred, forked, or contributed to the repository. We got our 1st GitHub badge!
We are actively working on improving it and have merged 15 pull requests last week. Everyone is welcome to contribute.
What's included in the GitHub repository:100 byte-sized system concepts with visuals.
Real-world case studies.
Tips on how to prepare for system design interviews.
Topics included (and many many more):
SOAP vs. REST vs. GraphQL vs. RPC
HTTP 1.0 -> HTTP 1.1 -> HTTP 2.0 -> HTTP 3.0 (QUIC)
CI/CD Pipeline Explained in Simple Terms
8 Data Structures That Power Your Databases
Top caching strategies
What does a typical microservice architecture look like?
Start exploring the repository here.
Explain the Top 6 Use Cases of Object Stores
What is an object store?
Object store uses objects to store data. Compared with file storage which uses a hierarchical structure to store files, or block storage which divides files into equal block sizes, object storage stores metadata together with the objects. Typical products include AWS S3, Google Cloud Storage, and Azure Blob Storage.
An object store provides flexibility in formats and scales easily.Case 1: Data Archiving
With the ever-growing amounts of business data, we cannot store all the data in core storage systems. We need to have layers of storage plan. An object store can be used to archive old data that exists for auditing or client statements. This is a cost-effective approach.Case 2: Unstructured Data Storage
We often need to deal with unstructured data or semi-structured data. In the past, they were usually stored as blobs in the relational database, which was quite inefficient. An object store is a good match for music, video files, and text documents. Companies like Spotify or Netflix uses object store to persist their media files.Case 3: Cloud Native Storage
For cloud-native applications, we need the data storage system to be flexible and scalable. Major public cloud providers have easy API access to their object store products and can be used for economical storage choices.Case 4: Data Lake
There are many types of data in a distributed system. An object store-backed data lake provides a good place for different business lines to dump their data for later analytics or machine learning. The efficient reads and writes of the object store facilitate more steps down the data processing pipeline, including ETL(Extract-Transform-Load) or constructing a data warehouse.Case 5: Internet of Things (IoT)
IoT sensors produce all kinds of data. An object store can store this type of time series and later run analytics or AI algorithms on them. Major public cloud providers provide pipelines to ingest raw IoT data into the object store.Case 6: Backup and Recovery
An object store can be used to store database or file system backups. Later, the backups can be loaded for fast recovery. This improves the system’s availability.
Over to you: What did you use object store for?
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by "ByteByteGo" <bytebytego@substack.com> - 10:36 - 28 Oct 2023 -
From purpose to power: Defying the status quo
Readers & Leaders
Plus, 5 interviews on life and leadership lessons THIS MONTH'S PAGE-TURNERS ON BUSINESS AND BEYOND
You’ve just been blindsided by a business setback or a personal loss. The experience could render you crippled by caution, or it could help you reframe the future. As the interviews below demonstrate, life lessons can create opportunity for growth and innovation. At times, they can harness the potential that turns the biggest gambles into the greatest payoffs.
In this edition of Readers & Leaders, learn how perceived setbacks turned three authors into catalysts for change and transformed their approach to business and leadership. When met with the challenges of Ebola and energy deprivation in the poorest communities, Dr. Rajiv J. Shah, president of the Rockefeller Foundation, employed the “big bets” concept—using innovative solutions to tackle the world’s greatest problems. In a new Author Talks interview, Dr. Shah shares the importance of learning from others to enact change, why trusting your moral instincts is important, and why giving up control is essential to achieving scale and sustainability. In other featured interviews, Ron Shaich, founder and former CEO of Au Bon Pain and Panera Bread, explores how the loss of his parents helped him redefine a life well-lived and turn pain into purpose, and BBC analysis editor Ros Atkins discusses how a lost job opportunity triggered a journey into improving his communication skills.IT BEARS REPEATING
“I actually learned a playbook of how young people, in particular, can aspire to be changemakers. Anyone can be a changemaker if they adopt a big-bet mindset and are willing to think boldly—just as boldly as you would in the private sector. Think boldly about how you can actually make positive changes in this world.”
—Dr. Rajiv J. Shah, president, the Rockefeller Foundation, in an October edition of Author Talks.IN CASE YOU MISSED IT
Ron Shaich on why your life assessment shouldn’t happen “in the ninth inning, with two outs”: “Essentially, the process of a premortem, or defining today what’s going to matter tomorrow, is about figuring out, ‘Where do I want to land in the future? I know where I want to be in three years, in five, in seven. I could effectively build a plan to get there.’” Watch the full interview.
Ros Atkins offers a practical approach to effective explanation: “If you can spot the elements of those subjects that you’re not comfortable with, get the information to help you, and then do the preparation to make sure you can express that information clearly, you understand the subject, and you can then explain it.” Watch the full interview.TURN BACK THE PAGE
Looking to learn more about how life lessons could impact leadership in your organization? Revisit these 2023 Author Talks interviews.
1. IBM’s Ginni Rometty on leading with ‘good power’
2. Create your ‘reinvention road map’ in four easy steps
3. Embracing power and possibility in the aftermath of loss
4. How people-first leadership can make the sky the limit
5. The world’s longest study of adult development finds the key to happy livingBUSINESS BESTSELLERS TOP
8
BUSINESS OVERALL
BUSINESS HARDCOVER
DECISION MAKING
ECONOMICS
ORGANIZATIONAL BEHAVIOR
WORKPLACE CULTURE
DIVERSITY & INCLUSION
SUSTAINABILITY
BOOKMARK THIS
If you’d like to propose a book or author for #McKAuthorTalks, please email us at Author_Talks@McKinsey.com. Due to the high volume of requests, we will respond only to those being considered.
— Edited by Emily Adeyanju, an editor in McKinsey’s Charlotte office
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by "McKinsey Readers & Leaders" <publishing@email.mckinsey.com> - 10:27 - 28 Oct 2023 -
Hello, new API landscape!
Hello, new API landscape!
The 2024 stage is set for innovation and digital progress. How will you ensure your business thrives in this dynamic digital landscape?When we gazed into our Tyk crystal ball to look at upcoming trends for APIs (as we often do – we haven't just been named as Leaders in the Gartner® Magic Quadrant™ for no reason – more on that below), observability,
OpenTelemetry, and the importance of API monitoring stood out ten-fold.
These frameworks are reshaping how we monitor, trace, and optimise APIs by providing comprehensive insights into data flow across services and applications.
It's a huge focus for us, and we're backing that prediction up with a powerful new feature as part of Tyk 5.2... OpenTelemetry Tracing, launching any day now. In the meantime, check out our blogs and events below for all sorts of data-driven insights into your APIs!
P.S. Want to hear more from Tyk? Subscribe to our newsletter here
Tyk in the limelight
Tyk enters the Gartner LEADER club!
We got a bit bored of being one of Gartner's Magic Quadrant™ Visionaries, so we've made our way into the elite LEADER club! We're proud to be here. So, what's next? Universe dominator? Only Tyk will tell! Read our story and all the details here.
The resource hub
New blogs on the block
Maximising API performance
Allow us to share the wisdom of API-Topia on maximising API performance so your APIs – and your business – can flourish. Implementing each element below will bring you closer to the ultimate API performance you seek. Check it out.
3 trends for APIs in 2024
Looking to know what's crucial to the advancement of APIs next year? Three key themes crop up repeatedly: Observability, OpenTelemetry and the democratisation of APIs as they go mainstream. Read the blog.
SRE vs platform engineering
Site reliability engineering and platform engineering don’t need to be gearing up for some epic battle. Embracing both could lead to exciting outcomes for your API products and business. Let us explain… Find out more.
Coming to a location near you
Here are all the details on the latest and greatest events and speaker slots coming up in the Tyk universe:
API platform engineering fundamentals
Module 4: Building scalable API platforms – security, governance & open standards
API platform engineering fundamentals
Module 6: Measuring success and the future
of platform engineeringWant to be the first to hear about our events? Sign up here to stay in the loop.
We also have a PLETHORA of webinars on all sorts of API-related topics you can crack into and watch on-demand here, as well as the first 3 modules of that platform engineering fundamentals programme. Go on, you know you want to check them out.
As we look ahead to 2024, the world of APIs is poised for significant transformation, with observability, OpenTelemetry and exceptional API experiences at the fore. The stage is set for API Topia - where APIs come to live their best life. Come visit; no passport is required!
Tyk, 87a Worship Street, London, City of London EC2A 2BE, United Kingdom, +44 (0)20 3409 1911
by "Budhaditya Bhattacharya" <communities@tyk.io> - 10:04 - 27 Oct 2023 -
Gen AI and workers: What you should know
On Point
Industries that could be most affected Brought to you by Liz Hilton Segel, chief client officer and managing partner, global industry practices, & Homayoun Hatami, managing partner, global client capabilities
•
Huge gains. Organizational leaders and the public at large have rapidly embraced gen AI since ChatGPT’s launch in November 2022. Following the launch, multiple companies also announced the development and integration of different large language models. Gen AI could add up to $4.4 trillion annually to the global economy, according to recent McKinsey research. The banking, high-tech, and life sciences industries are among those that could see the biggest impact, McKinsey Digital’s global leader, Rodney Zemmel, and coauthors find.
•
Millions of job shifts. Gen AI could automate almost 10% of tasks in the US economy, say McKinsey senior partner Kweilin Ellingrud and partner Saurabh Sanghvi. Overall, roughly 12 million occupational shifts may need to happen by 2030 for workers to keep up. Ensuring the reskilling and upskilling of workers during this transition falls on individual companies. The silver lining? If companies are able to do so successfully, we could have more jobs in the future than we have today. Discover how gen AI is changing the game across industries in the latest edition of the McKinsey Quarterly Five Fifty.
— Edited by Kanika Punwani, editor, Southern California
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> - 12:41 - 27 Oct 2023 -
Beyond ‘quiet luxury,’ gen AI and the future of work, Tech for Execs, and more: The Daily Read weekender
Unwind and catch up on the week's big reads Brought to you by Liz Hilton Segel, chief client officer and managing partner, global industry practices, & Homayoun Hatami, managing partner, global client capabilities
TECH FOR EXECS
Our experts serve up a periodic look at the technology concepts leaders need to understand to help their organizations grow and thrive in the digital age.
What it is. Explainable AI (XAI) refers to the ability to understand how an AI-powered application arrived at a particular output. Thanks to complex algorithms in AI applications, this isn’t easy. But doing so is foundational to managing risks and ensuring that an AI application performs optimally.
Why we need it. While the neural networks running behind many AI apps are loosely modeled after the human brain, they often don’t process data in the ways that humans do. But if we can’t understand how AI arrived at a particular conclusion, how can skeptical users trust the results enough to take actions on them? XAI has business implications as well. It can help data scientists figure out why an app might be producing biased or inaccurate recommendations. Also, if regulators want proof that bias isn’t occurring—a mounting concern as more governments consider AI regulations—XAI makes it easier to provide that proof.
How to make AI interpretable. Data scientists are applying a number of “explainability” features—including local interpretable model-agnostic explanations (LIME) and Shapley additive explanations (SHAP)—to illuminate which data most influence an AI’s decisions. Still, only 25 percent of organizations enable XAI. Is your AI interpretable? Simple, easily interpretable algorithms often suffice, but when complexity is required, applying explainability techniques should become standard practice.QUOTE OF THE DAY
chart of the day
Ready to unwind?
—Edited by Joyce Yoo, editor, New York
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by "McKinsey Daily Read" <publishing@email.mckinsey.com> - 11:18 - 26 Oct 2023 -
Learn the can’t-miss guiding principles for successful GenAI initiatives.
Learn the can’t-miss guiding principles for successful GenAI initiatives.
Learn requirements and architectural approaches to domain-specific LLMs for GenAI.Navigate the Next Wave of GenAI:
Domain-Specific LLMsThursday, November 9, 2023
10:00am – 11:00am PSTRegister for the webinar Stay at the Forefront of Innovation
Join our new GenAI webinar series to learn about the latest trends and best practices in generative AI from industry leaders and practitioners.
Navigate the Next Wave of GenAI: Domain-Specific LLMs
To gain competitive advantage, innovative companies are starting to embed large language models into proprietary workflows that support domain-specific use cases. Many of them choose open-source LLMs to reduce data and compute requirements as well as privacy risks. The results have the potential to accelerate and enrich all sorts of business functions, from customer service to document processing and more.
Join our discussion with Kevin Petrie, VP of Research at Eckerson Group, and Ro Shah, AI Product Director at Intel, to better understand how careful design, implementation, and governance will help you achieve success with the next of GenAI.
Topics include:
- The requirements and architectural approaches to domain-specific LLMs
- Common challenges, benefits, and use cases
- Must-know guiding principles for successful generative AI initiatives
Thursday, November 9, 2023 10:00am – 11:00am PST
Register for the webinar Kevin Petrie
VP of Research at Eckerson Group
Ro Shah
AI Product Director at Intel's Data Center and AI Group
Sancha Huang Norris
Generative AI Marketing Lead at Intel's Data Center and AI Business Unit
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by "Intel Corporation" <intel@plan.intel.com> - 03:02 - 26 Oct 2023 -
A Crash Course in Kubernetes
A Crash Course in Kubernetes
In today's world of complex, web-scale application backends made up of many microservices and components running across clusters of servers and containers, managing and coordinating all these pieces is incredibly challenging. That's where Kubernetes comes in. Kubernetes (also known as "k8s") is an open-source container orchestration platform that automates deployment, scaling, and management of containerized applications. 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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The Tech Promotion Algorithm: A Structured Guide to Moving Up
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In today's world of complex, web-scale application backends made up of many microservices and components running across clusters of servers and containers, managing and coordinating all these pieces is incredibly challenging.
That's where Kubernetes comes in. Kubernetes (also known as "k8s") is an open-source container orchestration platform that automates deployment, scaling, and management of containerized applications.
With Kubernetes, you don't have to worry about manually placing containers or restarting failed ones. You simply describe your desired application architecture and Kubernetes makes it happen and keeps it running.
In this two-part series, we'll dive deep into Kubernetes and cover:
Key concepts like pods, controllers, and services
The components that make up a Kubernetes cluster
When and why Kubernetes is useful for your applications
Tradeoffs to consider before adopting Kubernetes
We'll demystify Kubernetes and equip you with everything you need to determine if and when Kubernetes could be the right solution for your applications. You'll walk away with a clear understanding of what Kubernetes is, how it works, and how to put it into practice.
Whether you're a developer, ops engineer, or technology leader, you'll find invaluable insights in this deep dive into Kubernetes. Let's get started!
Brief History
Kubernetes can be traced back to Google's internal container orchestration system, Borg, which managed the deployment of thousands of applications within Google. Containers are a method of packaging and isolating applications into standardized units that can be easily moved between environments. Unlike traditional virtual machines (VMs) which virtualize an entire operating system, containers only virtualize the application layer, making them more lightweight, portable and efficient.
In 2014, Google open-sourced a container orchestration system based on its learnings from Borg. This is Kubernetes. Kubernetes provides automated deployment, scaling and management of containerized applications. By leveraging containers rather than VMs, Kubernetes provides benefits like increased resource efficiency, faster deployment of applications, and portability across on-prem and cloud environments.
Why is it also called k8s? This is a somewhat nerdy way of abbreviating long words. The number 8 in k8s refers to the 8 letters between the first letter “k” and the last letter “s” in the word Kubernetes.
Kubernetes Architecture and Key Components
At its core, Kubernetes follows a client-server architecture. There are two core pieces in a Kubernetes cluster - control plane and worker nodes.
The control plane is responsible for managing the state of the cluster. In production environments, the control plane usually runs on multiple nodes that span across several data center zones.
In other words, the control plane manages worker nodes and the containers running on them.
The containerized applications run in a Pod. Pods are the smallest deployable units in Kubernetes. A pod hosts one or more containers and provides shared storage and networking for those containers. Pods are created and managed by the Kubernetes control plane. They are the basic building blocks of Kubernetes applications.
Let’s dive deeper into the main pieces.
Kubernetes Control Plane
The control plane is the brain of Kubernetes. It consists of various components that, together, make global decisions about the cluster. The control plane components run on multiple servers across availability zones to provide high availability.
The key components are:
Kubernetes API Server
Etcd
Kubernetes Scheduler
Kubernetes Controller Manager
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