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EP77: My Recommended Materials for Cracking Your Next Technical Interview
EP77: My Recommended Materials for Cracking Your Next Technical Interview
This week’s system design refresher: My recommended materials for cracking your next technical interview Cheat Sheet for Monitoring Infrastructure in Cloud Services Top 5 Caching Strategies Uber Tech Stack How many message queues do you know? The 2023 Observability Forecast report is here! (Sponsored) Forwarded this email? Subscribe here for moreThis week’s system design refresher:
My recommended materials for cracking your next technical interview
Cheat Sheet for Monitoring Infrastructure in Cloud Services
Top 5 Caching Strategies
Uber Tech Stack
How many message queues do you know?
The 2023 Observability Forecast report is here! (Sponsored)
The third annual Observability Forecast by New Relic is out now! We surveyed 1,700 technology professionals—making it the largest, most comprehensive study of its kind in the observability industry. The survey results show that observability continues to deliver a clear, positive business impact and a 2x median annual return on investment (ROI). Organizations continue to see the business value of observability—and expect to invest more in it.
My recommended materials for cracking your next technical interview
Coding
Leetcode
Cracking the coding interview book
Neetcode
System Design Interview
System Design Interview Book 1, 2 by Alex Xu, Sahn Lam
Grokking the system design by Design Guru
Design Data-intensive Application book
Behavioral interview
Tech Interview Handbook (Github repo)
A Life Engineered (YT)
STAR method (general method)
OOD Interview
Interviewready
OOD by educative
Head First Design Patterns Book
Mock interviews
Interviewingio
Pramp
Meetapro
Apply for Jobs
Linkedin
Monster
Indeed
Over to you: What is your favorite interview prep material?
Latest articles
If you’re not a subscriber, here’s what you missed this month.
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A nice cheat sheet of different monitoring infrastructure in cloud services
This cheat sheet offers a concise yet comprehensive comparison of key monitoring elements across the three major cloud providers and open-source / 3rd party tools.
Let's delve into the essential monitoring aspects covered:
Data Collection: Gather information from diverse sources to enhance decision-making.
Data Storage: Safely store and manage data for future analysis and reference.
Data Analysis: Extract valuable insights from data to drive informed actions.
Alerting: Receive real-time notifications about critical events or anomalies.
Visualization: Present data in a visually comprehensible format for better understanding.
Reporting and Compliance: Generate reports and ensure adherence to regulatory standards.
Automation: Streamline processes and tasks through automated workflows.
Integration: Seamlessly connect and exchange data between different systems or tools.
Feedback Loops: Continuously refine strategies based on feedback and performance analysis.
Over to you: How do you prioritize and leverage these essential monitoring aspects in your domain to achieve better outcomes and efficiency?
One picture is worth a thousand words - Top 5 Caching Strategies
When we introduce a cache into the architecture, synchronization between the cache and the database becomes inevitable.
Let’s look at 5 common strategies how we keep the data in sync.
Read Strategies:
Cache aside
Read throughWrite Strategies:
Write around
Write back
Write Through
The caching strategies are often used in combination. For example, write-around is often used together with cache-aside to make sure the cache is up-to-date.
Over to you: What strategies have you used?Uber Tech Stack
This post is based on research from many Uber engineering blogs and open-source projects. If you come across any inaccuracies, please feel free to inform us. The corresponding links are added in the comment section.
Web frontend: Uber builds Fusion.js as a modern React framework to create robust web applications. They also develop visualization.js for geospatial visualization scenarios.
Mobile side: Uber builds the RIB cross-platform with the VIPER architecture instead of MVC. This architecture can work with different languages: Swift for iOS, and Java for Android.
Service mesh: Uber built Uber Gateway as a dynamic configuration on top of NGINX. The service uses gRPC and QUIC for client-server communication and Apache Thrift for API definition.
Service side: Uber built a unified configuration store named Flipr (later changed to UCDP), H3 as a location-index store library. They use Spring Boot for Java-based services, uAct for event-driven architecture, and Cadence for async workflow orchestration.
Database end: the OLTP mainly uses the strongly-consistent DocStore, which employs MySQL and PostgreSQL, along with the RocksDB database engine.
Big data: managed through the Hadoop family. Hudi and Parquet are used as file formats, and Alluxio serves as cache. Time-series data is stored in Pinot and AresDB.
Data processing: Hive, Spark, and the open-source data ingestion framework Marmaray. Messaging and streaming middleware include Apache Kafka and Apache Flink.
DevOps side: Uber utilizes a Monorepo, with a simplified development environment called devpod. Continuous delivery is managed through Netflix Spinnaker, metrics are emitted to uMetric, alarms on uMonitor, and a consistent observability database M3.How many message queues do you know?
Like a post office, a message queue helps computer programs communicate in an organized manner. Imagine little digital envelopes being passed around to keep everything on track. There are a few key features to consider when selecting message queues:
Speed: How fast messages are sent and received
Scalability: Can it grow with more messages
Reliability: Will it make sure messages don’t get lost
Durability: Can it keep messages safe over time
Ease of Use: Is it simple to set up and manage
Ecosystem: Are there helpful tools available
Integration: Can it play nice with other software
Protocol Support: What languages can it speak
Try out a message queue and practice sending and receiving messages until you're comfortable. Choose an easy one like Kafka and experiment with sending and receiving messages. Read books or take online courses as you get more comfortable. Build little projects and learn from those who have already been there. Soon, you'll know everything about message queues.
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by "ByteByteGo" <bytebytego@substack.com> - 11:35 - 16 Sep 2023 -
Become a certified API platform engineer with Tyk
Become a certified API platform engineer with Tyk
Discover the processes, people and API platforms that make platform teams successful!It's that time of year again – back to school season! But don't worry; we're not here to make you endure any roll call or algebraic equations.
Instead, we want to celebrate a different kind of learning: the art and science of API platform engineering.
Introducing the Tyk API platform engineering fundamentals certification! A 7-week programme that will equip you with the skills and knowledge to architect, develop, and deploy cloud-native API platforms.
So, grab your metaphorical backpack and join us for a journey filled with learning, growth, and exciting possibilities. We've also got blogs and upcoming events – something for everyone to explore the processes, people, and API platforms that make platform teams successful.
Check them all out below!
P.S. Want to hear more from Tyk? Subscribe to our newsletter here.
Tyk in the limelight
API platform engineering fundamentals
Whether you're a seasoned pro or just starting to dabble in the world of APIs, our certification will enable you to upskill your role within the platform team. And the best part? It's not just about theory; it's about practical, real-world knowledge you can apply immediately. The programme starts on 28 September. Get signed up!
The resource hub
New blogs on the block
API gateway checklist for platform teams
You've decided your platform team needs an API gateway. Great. Now, the fun begins. We’ve covered everything you need to know to implement your API gateway smoothly and gain maximum benefit. Let us show you how.
Onboarding distributed teams
Workers spread all around the globe? No problem! Tyk's platform gives API owners everything they need to collaborate and mature their API operations, no matter how widely dispersed individual developers may be. Read the blog.
CI/CD and platform engineering
We break down and examine why CI/CD and platform engineering are now crucial to creating a robust software ecosystem and map out some best practices for setting things up efficiently. 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:
Want 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. Go on, you know you want to check them out.
Looking for some inspiration to kickstart the back-to-school spirit? Tune in to Tyk's Spotify playlist, setting the perfect rhythm for a season of growth and learning!
Tyk, 87a Worship Street, London, City of London EC2A 2BE, United Kingdom, +44 (0)20 3409 1911
by "Budhaditya Bhattacharya" <communities@tyk.io> - 08:33 - 15 Sep 2023 -
New DevCon: OpenVINO Model Server and scientific data
New DevCon: OpenVINO Model Server and scientific data
Join us live on Oct 10th to dive into AI modeling for cell therapy.Bringing Together Scientific Data and Custom AI Models with OpenVINO™ Model Server
October 10, 2023; 7PM-8PM IST
Register now OpenVINO DevCon has added a new workshop for October with a focus on AI and biopharma. AI is changing the way clinical pharmaceutical scientists extract meaningful insights and develop innovations for the healthcare industry.
In this talk, experts from Intel and Beckman Coulter Life Sciences will share an end-to-end case study on how they leveraged OpenVINO™ Toolkit optimizations and OpenVINO Model Server to unlock AI performance for their CellAI toolbox.
Attendees will learn:
- How to unlock higher model performance for scientific AI models with OpenVINO optimizations
- How to efficiently deploy scientific AI models using OpenVINO Model Server and AiCSD
- How and where to contribute to the open-source development of AI model technologies in the life sciences domain
Register today Kaleb Kuether
Solution Architect, Intel
Kaleb is the solution architect for the recently released Intel open-source sample AI Connect for scientific data (AiCSD).Nooshin Nabizadeh
AI Solutions Architect, Intel
Nooshin has worked with dozens of healthcare companies to optimize their deep learning algorithms for inference and has been involved in development and adoption of OpenVINO™ toolkit in the healthcare space.Milosz Zeglarski
Software Engineer, Intel
Throughout his career, Milosz has focused on deploying AI models and pipelines on different platforms and environments.Ria Cheruvu
AI Software Lead Architect and AI Evangelist, Intel
Ria is a renowned speaker who focuses on solutions for security and privacy for machine learning, fairness, explainable and responsible AI systems, uncertain AI, and more.Gabriele Aldeghi
Senior Data Scientist, Beckham Coulter Life Sciences
Gabriele specializes in Computer Vision and Image Processing applications with Deep Learning on biological data.Filip Krasniqi
Senior Data Scientist, Beckham Coulter Life Sciences
With a focus on Data Science and particularly Computer Vision and Deep Learning, Filip works in both SE and AI skills and dealing with MSC cells.On-Demand DevCon Workshops
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by "Intel Developer Zone" <intel.developer.zone@plan.intel.com> - 12:32 - 15 Sep 2023 -
Want to help save the planet? Here’s how to truly value nature.
On Point
An Author Talks interview Brought to you by Liz Hilton Segel, chief client officer and managing partner, global industry practices, & Homayoun Hatami, managing partner, global client capabilities
•
Preventing wildfires. Some experts are calling for wild horses to be given a chance to help protect natural habitats. One postdoctoral researcher believes that the grazing behavior of wild horses can shield dry lands against wildfires. A US nonprofit recommends that the animals be relocated to landscapes to roam freely. According to its founder, by eating dry grass and the lower branches of trees, horses deprive fires of their fuel and protect natural areas from wildfires. [Atlantic]
•
The benefits of nature. “I was looking for a book I thought I could give to friends and colleagues to try to explain natural capital, and I couldn’t find one,” says climate investor Siddarth Shrikanth, who explains in a recent edition of Author Talks why he wrote the book The Case for Nature: Pioneering Solutions for the Other Planetary Crisis. In it, Shrikanth explores the economic and intrinsic reasons for protecting nature, including better agriculture, better forestry, and a more meaningful relationship with the natural world.
— Edited by Katherine Tam, editor, New York
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by "McKinsey On Point" <publishing@email.mckinsey.com> - 12:29 - 15 Sep 2023 -
Keep Your Transport Vehicles Safe and Efficient with Tire Pressure Monitoring Systems
Keep Your Transport Vehicles Safe and Efficient with Tire Pressure Monitoring Systems
Discover how TPMS transforms long-distance goods transportationSolutions with TPMS
Provided real-time tire pressure and temperature data.
Instant alerts for tire pressure and temperature deviations from preset thresholds.
Historical tire data for informed maintenance decisions.
Results
Improved system reliability leads to reduced downtime.
Implementing the system results in lower fuel costs by contributing to better fuel efficiency.
Improper tire pressure reduces fuel efficiency.
Uffizio Technologies Pvt. Ltd., 4th Floor, Metropolis, Opp. S.T Workshop, Valsad, Gujarat, 396001, India
by "Sunny Thakur" <sunny.thakur@uffizio.com> - 08:00 - 14 Sep 2023 -
Why is Kafka so fast? How does it work?
Why is Kafka so fast? How does it work?
With data streaming into enterprises at an exponential rate, a robust and high-performing messaging system is crucial. Apache Kafka has emerged as a popular choice for its speed and scalability - but what exactly makes it so fast? In this issue, we'll explore: View in browser This 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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With data streaming into enterprises at an exponential rate, a robust and high-performing messaging system is crucial. Apache Kafka has emerged as a popular choice for its speed and scalability - but what exactly makes it so fast?
In this issue, we'll explore:
Kafka's architecture and its core components like producer, brokers, and consumers
How Kafka optimizes data storage and replication
The optimizations that enable Kafka’s impressive throughput and low latency
Let’s dive into Kafka’s core components first.
Kafka Architecture Distilled
In a typical scenario where Kafka is used as a pub-sub messaging middleware, there are 3 important components: producer, broker, and consumer. The producer is the message sender, and the consumer is the message receiver. The broker is usually deployed in a cluster mode, which handles incoming messages and writes them to the broker partitions, allowing consumers to read from them.
Note that Kafka is positioned as an event streaming platform, so the term “message”, which is often used in message queues, is not used in Kafka. We call it an “event”.
The diagram below puts together a detailed view of Kafka’s architecture and client API structure. We can see that although the producer, consumer, and broker are still key to the architecture, it takes more to build a high-throughput, low-latency Kafka. Let’s go through the components one by one.
From a high-level point of view, there are two layers in the architecture: the compute layer and the storage layer.
The Compute Layer
The compute layer, or the processing layer, allows various applications to communicate with Kafka brokers via APIs.
The producers use the producer API. If external systems like databases want to talk to Kafka, it also provides Kafka Connect as integration APIs.
The consumers talk to the broker via consumer API. In order to route events to other data sinks, like a search engine or database, we can use Kafka Connect API. Additionally, consumers can perform streaming processing with Kafka Streams API. If we deal with an unbounded stream of records, we can create a KStream. The code snippet below creates a KStream for the topic “orders” with Serdes (Serializers and Deserializers) for key and value. If we just need the latest status from a changelog, we can create a KTable to maintain the status. Kafka Streams allows us to perform aggregation, filtering, grouping, and joining on event streams.
final KStreamBuilder builder = new KStreamBuilder();final KStream<String, OrderEvent> orderEvents = builder.stream(Serdes.String(), orderEventSerde, "orders");
While Kafka Streams API works fine for Java applications, sometimes we might want to deploy a pure streaming processing job without embedding it into an application. Then we can use ksqlDB, a database cluster optimized for stream processing. It also provides a REST API for us to query the results.
We can see that with various API support in the compute layer, it is quite flexible to chain the operations we want to perform on event streams. For example, we can subscribe to topic “orders”, aggregate the orders based on products, and send the order counts back to Kafka in the topic “ordersByProduct”, which another analytics application can subscribe to and display.
The Storage Layer
This layer is composed of Kafka brokers. Kafka brokers run on a cluster of servers. The data is stored in partitions within different topics. A topic is like a database table, and the partitions in a topic can be distributed across the cluster nodes. Within a partition, events are strictly ordered by their offsets. An offset represents the position of an event within a partition and increases monotonically. The events persisted on brokers are immutable and append-only, even deletion is modeled as a deletion event. So, producers only handle sequential writes, and consumers only read sequentially.
A Kafka broker’s responsibilities include managing partitions, handling reads and writes, and managing replications of partitions. It is designed to be simple and hence easy to scale. We will review the broker architecture in more detail.
Since Kafka brokers are deployed in a cluster mode, there are two necessary components to manage the nodes: the control plan and the data plane.
Control Plane
The control plane manages the metadata of the Kafka cluster. It used to be Zookeeper that managed the controllers: one broker was picked as the controller. Now Kafka uses a new module called KRaft to implement the control plane. A few brokers are selected to be the controllers.
Why was Zookeeper eliminated from the cluster dependency? With Zookeeper, we need to maintain two separate types of systems: one is Zookeeper, and the other is Kafka. With KRaft, we just need to maintain one type of system, which makes the configuration and deployment much easier than before. Additionally, KRaft is more efficient in propagating metadata to brokers.
We won’t discuss the details of the KRaft consensus here. One thing to remember is the metadata caches in the controllers and brokers are synchronized via a special topic in Kafka.
Data Plane
The data plane handles the data replication. The diagram below shows an example. Partition 0 in the topic “orders” has 3 replicas on the 3 brokers. The partition on Broker 1 is the leader, where the current data offset is at 4; the partitions on Broker 2 and 3 are the followers where the offsets are at 2 and 3.
Step 1 - In order to catch up with the leader, Follower 1 issues a FetchRequest with offset 2, and Follower 2 issues a FetchRequest with offset 3.
Step 2 - The leader then sends the data to the two followers accordingly.
Step 3 - Since followers’ requests implicitly confirm the receipts of previously fetched records, the leader then commits the records before offset 2.
Record
Kafka uses the Record class as an abstraction of an event. The unbounded event stream is composed of many Records.
There are 4 parts in a Record:
Timestamp
Key
Value
Headers (optional)
The key is used for enforcing ordering, colocating the data that has the same key, and data retention. The key and value are byte arrays that can be encoded and decoded using serializers and deserializers (serdes).
Broker
We discussed brokers as the storage layer. The data is organized in topics and stored as partitions on the brokers. Now let’s look at how a broker works in detail.
Step 1: The producer sends a request to the broker, which lands in the broker’s socket receive buffer first.
Steps 2 and 3: One of the network threads picks up the request from the socket receive buffer and puts it into the shared request queue. The thread is bound to the particular producer client.
Step 4: Kafka’s I/O thread pool picks up the request from the request queue.
Steps 5 and 6: The I/O thread validates the CRC of the data and appends it to a commit log. The commit log is organized on disk in segments. There are two parts in each segment: the actual data and the index.
Step 7: The producer requests are stashed into a purgatory structure for replication, so the I/O thread can be freed up to pick up the next request.
Step 8: Once a request is replicated, it is removed from the purgatory. A response is generated and put into the response queue.
Steps 9 and 10: The network thread picks up the response from the response queue and sends it to the corresponding socket send buffer. Note that the network thread is bound to a certain client. Only after the response for a request is sent out, will the network thread take another request from the particular client.
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by "ByteByteGo" <bytebytego@substack.com> - 11:39 - 14 Sep 2023 -
Some US drones may now fly across states. What are the benefits of drone deliveries?
On Point
What our model reveals about cost Brought to you by Liz Hilton Segel, chief client officer and managing partner, global industry practices, & Homayoun Hatami, managing partner, global client capabilities
•
The drone next door. The US is getting closer to the day when delivery by drone hits the mainstream. Three American drone operators, including one company that examines infrastructure, a second that develops communications and navigation systems for crewless aircraft, and a third that specializes in drone delivery, were granted permission to fly their uncrewed aerial vehicles out of range of human sight. That could lead the way for businesses to send packages across the country by drone. [Axios]
•
At-home drone deliveries. In early 2022, drones made more than 2,000 commercial deliveries each day across the globe. With their potential to meet the needs of consumers who want prepared foods and other small packages delivered, in addition to making last-mile business-to-business deliveries (such as moving medical samples to labs), drones could become an important part of the delivery supply chain, McKinsey partner Robin Riedel and colleagues share on the Future Air Mobility blog.
•
Cost-effective and planet friendly. As the industry develops, drones could become as cost-effective for package delivery as other modes of transport, our analysis finds. Drones are also environmentally friendly, with carbon dioxide emissions for a single delivery typically lower than those of electric cars and vans and significantly lower than those of gasoline-powered vehicles. Discover six questions to consider when developing a drone strategy, and visit our series, The Next Normal, to discover the future of parcel delivery.
— Edited by Belinda Yu, editor, Atlanta
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by "McKinsey On Point" <publishing@email.mckinsey.com> - 12:36 - 14 Sep 2023 -
ตรวจสอบ 7 ความท้าทายและตัวอย่างสำหรับศูนย์ข้อมูล Edge!
Schneider Electric
เชื่อมต่อกับ Edge Expert7 ความท้าทายและกรณีลูกค้าสำหรับ Edge Data CenterDear Abul,
เพื่อรองรับการเติบโตของแอพพลิเคชั่นที่ใช้ข้อมูลมาก ความหน่วงต่ำเป็นพิเศษ ศูนย์ข้อมูล Edge ในพื้นที่จำเป็นต้องปรับขนาดในสภาพแวดล้อมที่หลากหลาย อย่างไรก็ตาม การขยายขนาดใหญ่ของศูนย์ข้อมูล Edge ทำให้ผู้ประกอบการศูนย์ข้อมูลพบกับความท้าทายที่หลากหลายในแง่ของพลังงานและการทำความเย็น ประสิทธิภาพการใช้พลังงาน การจัดการและการบำรุงรักษา
คู่มือนี้ อธิบายวิธีที่สถาปัตยกรรม telco cloud และ IT cloud ทำงานร่วมกันเป็นสถาปัตยกรรมเสริม ในขณะที่ออกแบบให้ตรงตามความยืดหยุ่นของศูนย์ข้อมูลและเป้าหมายด้านประสิทธิภาพ เรานำเสนอไม่ว่าจะบรรจบกับสิ่งใด นอกจากนี้ยังแนะนำกรณีการใช้งานจริงสำหรับการออกแบบและสร้างศูนย์ข้อมูล Edge ในพื้นที่แบบกระจายที่ยั่งยืนและยืดหยุ่นตามขนาด เช่น การเพิ่มการใช้พลังงานและประสิทธิภาพการดำเนินงาน การตระหนักถึงความเป็นกลางทางคาร์บอน และลดของเสียให้เหลือน้อยที่สุด+ 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 "Noe Noe OO, Schneider Electric" <Marcom.thailand@se.com> - 09:02 - 13 Sep 2023 -
RE: Attendees list of The Business Show - TBS 2023
Hi,
Is there any update to my previous email
Please let me know your thoughts, so that i can get back to you with complete details
Waiting for your earliest response,
Regards,
Sophia Parker
From: sophia.parker1432@gmail.com <sophia.parker1432@gmail.com>
Sent: Tuesday, September 12, 2023 6:03 AM
To: info@learn.odoo.com
Subject: Attendees list of The Business Show - TBS 2023
Importance: HighDear Exhibitor,
Hope you’re doing well..!!
Would you be interested in getting Attendees list of The Business Show – TBS 2023.??
List includes: E-mails, contact number and other fields on an excel sheet.
We do charge for our services, would you like to see counts and pricing details available?
Looking forward for your email.
Regards,
Sophia Parker
Trade Show Specialist.
by sophia.parker1432@gmail.com - 05:54 - 13 Sep 2023 -
Shocks are inevitable. A dynamic risk management plan can help companies stay competitive.
On Point
Methods to manage risk Brought to you by Liz Hilton Segel, chief client officer and managing partner, global industry practices, & Homayoun Hatami, managing partner, global client capabilities
•
Internal and external threats. Business risks can come from outside a company—like cyberattacks, inflation, and geopolitics—or from within—like an information leak or a missed opportunity. While leaders and organizations may have different comfort levels with risk, creating a dynamic and flexible approach to risk management could help organizations stay competitive when shocks occur, according to McKinsey Global Institute director Olivia White and coauthors. Risk controls encompass the ways in which companies can identify threats, limit or eliminate them, and prevent or reduce loss.
•
Understanding uncertainty. Preparing for risks like a pandemic, climate change, or supply chain disruption can be daunting for any organization. But strategies like scenario planning can help executives and their teams think through hypotheticals and fill existing gaps in their capabilities. One benefit of scenarios is that by developing a range of possible outcomes, each backed with a sequence of events, it is possible to expand leaders’ thinking. Explore this edition of McKinsey Explainers for three components to a successful risk management strategy.
— Edited by Gwyn Herbein, editor, Atlanta
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by "McKinsey On Point" <publishing@email.mckinsey.com> - 12:11 - 13 Sep 2023 -
Keep Your Transport Vehicles Safe and Efficient with Tire Pressure Monitoring Systems
Keep Your Transport Vehicles Safe and Efficient with Tire Pressure Monitoring Systems
Discover how TPMS transforms long-distance goods transportationSolutions with TPMS
Provided real-time tire pressure and temperature data.
Instant alerts for tire pressure and temperature deviations from preset thresholds.
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Results
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Implementing the system results in lower fuel costs by contributing to better fuel efficiency.
Improper tire pressure reduces fuel efficiency.
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by "Sunny Thakur" <sunny.thakur@uffizio.com> - 08:00 - 12 Sep 2023 -
API Trends, Insights, Webinars, and More!
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Stoplight supports three leading open source projects that we are excited to support in addition to our existing open source initiatives: Spectral, Prism, and Elements. Check out our blog to find out what’s coming next with this acquisition.API Innovative InsightsBecome an expert on the latest updates and trendsWant to Learn More?
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WEBINARWhat’s New in SwaggerHubJoin our team as we take you through the latest features in SwaggerHub and demonstrate the advantages of integrating them into your toolkitWEBINARSupercharge Your Performance TestingOur experts delve into performance and load testing methodologies that can elevate your application's reliability, scalability, and overall user satisfactionCOMMUNITY EVENTCelebrating 10 Years of Pact OS2023 marks 10 years of Pact Open Source. To celebrate, during the month of October – which we’ve coined Pactober – we’re facilitating community events across the globe to celebrate and acknowledge the journey and look forward to the future of PactBLOGDiscover, Test, and Succeed: SwaggerHub Explore Meets SwaggerHub PortalAPI documentation is the cornerstone of any successful API-driven project. We’re thrilled to introduce an exciting new enhancement to our SwaggerHub platform that’s set to take your API documentation to new heights
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FutureStack London is back!
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by sophia.parker1432@gmail.com - 06:03 - 12 Sep 2023 -
What would it take to empower Black, Latina, and Native American women in tech?
On Point
Nine practices could help retain women Brought to you by Liz Hilton Segel, chief client officer and managing partner, global industry practices, & Homayoun Hatami, managing partner, global client capabilities
•
Diversifying cybersecurity. In America, roughly three in ten cybersecurity jobs go unfilled due to a lack of workers, government data shows. As cyberattacks grow more frequent and costly, organizations are aiming to recruit more women and people of color to the field. Referring to internal diversity programs in job postings and only mentioning the required certifications and skills for a job can help companies recruit cybersecurity professionals more easily, the CEO of a cybersecurity education company says. [Axios]
•
Shrinking representation. Black, Latina, and Native American (BLNA) women in the US earned nearly double the number of computing degrees in 2021 as they did in 2016. Despite this, and even as employers invest significant time and resources in improving representation and inclusion in the workplace, BLNA women’s share of the technical workforce is shrinking. Between 2018 and 2022, BLNA women’s representation in tech roles declined from 4.6% to 4.1%, McKinsey senior partner Tiffany Burns and coauthors explain.
— Edited by Belinda Yu, editor, Atlanta
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by "McKinsey On Point" <publishing@email.mckinsey.com> - 10:07 - 11 Sep 2023 -
สิทธิพิเศษ! รับการประเมินไซต์งานด้วย EcoConsult จาก ชไนเดอร์ อิเล็คทริค
Schneider Electric
EcoConsult สำหรับธุรกิจของคุณเพิ่มประสิทธิภาพการบำรุงรักษาสินทรัพย์ไฟฟ้าในไซต์งานเรียน คุณ Abul
ในฐานะที่ ชไนเดอร์ อิเล็คทริค เป็นส่วนหนึ่งของการร่วมผลักดันองค์กรและพาร์ทเนอร์ทั่วโลกเข้าสู่ Net Zero เราขอเสนอ การประเมินทรัพย์สินทางไฟฟ้าให้กับเจ้าของไซต์งานและผู้จัดการงานอาคารทั้งหมด โดยไม่มีข้อผูกมัดใดๆ
ปัจจุบันผู้จัดการงานอาคาร ต่างเผชิญกับความท้าทาย ในการรักษาสมดุลระหว่างการบำรุงรักษาไซต์งานให้ดำเนินการได้อย่างราบรื่น โดยใช้ทรัพยากรที่มีให้เกิดประสิทธิภาพสูงสุด ในขณะที่ต้องรับมือกับการบริหารลงทุนที่ต่างมีอยู่อย่างจำกัด เกี่ยวกับการจัดการโครงสร้างพื้นฐานและการเปลี่ยนถ่ายอุปกรณ์ไฟฟ้าต่างๆ
อย่างไรก็ตาม ท่านยังคงมีความจำเป็นในการบริหารไซต์งานให้ทำงานต่อไปด้วยทรัพยากรที่มีอยู่ สู่แนวทาง "Make do with what you have"โชคร้ายที่ข้อจำกัดและความเสี่ยงเหล่านี้มักทำให้ท่านอาจะพบกับตัน จนอาจทำให้การบริการจัดการไซต์งาน/อาคาร จนอาจเกิดความล้มเหลว
หากเกิดการหยุดทำงาน โดยไม่ได้วางแผนมีการวางแผนล่วงหน้า ทำให้ความรับผิดชอบทั้งหมดมักตกอยู่ที่ท่าน ผู้จัดการงานอาคาร! พร้อมแบกรับความผิดชอบและมองหาวิธีแก้ปัญหาตลอดเวลาการประเมินไซต์งาน EcoConsult ของ ชไนเดอร์ อิเล็คทริค เสนอการประเมินสินทรัพย์ทางไฟฟ้า เพื่อช่วยเหลือคุณในรูปแบบต่างๆ:- มองเห็นภาพรวมอุปกรณ์ที่ติดตั้ง: แสดงภาพรวมครอบคลุมอุปกรณ์ที่ใช้งานอยู่ในปัจจุบัน
- การตรวจจับอันตรายที่ใกล้เข้ามา: ระบุความเสี่ยงและอันตรายที่อาจคุกคามการทำงานของไซต์งาน
- รายละเอียดของอุปกรณ์: ดูรายละเอียดของอุปกรณ์เฉพาะที่มีการจัดแบ่งหมวดหมู่ต่างๆ
- การปรับปรุงแผนให้ทันสมัย: ปรับให้ทันสมัย ตามความสำคัญและความต้องการเฉพาะในแต่ละการติดตั้ง โดยมีวัตถุประสงค์ช่วยจัดการกลุ่มอุปกรณ์ที่ล้าสมัย
ข้อดีของรายงานการประเมิน:ดูรายละเอียดจากรายงานที่แนะนำโดยผู้เชี่ยวชาญเพื่อเตรียมความพร้อมที่ดีขึ้น:- วางแผนงบประมาณ: สามารถวางแผนการบริหารทรัพยากรและงบประมาณที่จำเป็นสำหรับการบำรุงรักษาและปรับปรุงไซต์งาน
- ใช้โปรโตคอลการบำรุงรักษา: ดำเนินการทางโปรโตคอลการบำรุงรักษาที่มีโครงสร้างดี ปรับให้เหมาะกับสถานที่การติดตั้ง
- การรีเฟรชอุปกรณ์และชิ้นส่วนอะไหล่: สำรวจและรับการเปลี่ยนถ่ายอุปกรณ์และชิ้นส่วนอะไหล่ที่จำเป็น อย่างมีกลยุทธ์ก่อนที่มันจะล้าสมัย
การตรวจสอบจะถูกดำเนินการอย่างไม่มีข้อผูกมัดใดๆ:ท่านสามารถวางใจและรับการให้คำแนะนำสำหรับไซต์งาน เพื่อประโยชน์อันสูงสุด การดำเนินการทั้งหมดจะไม่มีข้อผูกมัดและไม่ยึดติดกับแบรนด์ทั้งสิ้นสิทธิประโยชน์แก่ท่านในฐานะผู้จัดการไซต์งานและสถานที่ ในการรับคำปรึกษา ตลอดจนขอความคิดเห็นจากผู้เชี่ยวชาญตัวจริง!
ด้วยการดำเนินงานที่ครอบคลุมทั่วโลกในกว่า 100 ประเทศ เราพร้อมนำประสบการณ์อันเป็นประโยชน์มอบแก่ท่าน เพื่อช่วยให้ท่านทราบวิธีจัดการความต้องการ ในการบำรุงรักษาอุปกรณ์ไฟฟ้าและไซต์งานของคุณอย่างมีประสิทธิภาพ ทำให้เกิดประสิทธิผลมากที่สุด
หากท่านสนใจเพียงคลิกที่ปุ่ม 'ติดต่อเรา' และทีมงานของเราจะติดต่อกลับโดยเร็วขอแสดงความนับถือ,วราชัย จตุรสถาพรBusiness Vice PresidentField Services+ 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> - 10:02 - 11 Sep 2023 -
Some employees are destroying value. Others are building it. Do you know the difference?
Address the challenge Brought to you by Liz Hilton Segel, chief client officer and managing partner, global industry practices, & Homayoun Hatami, managing partner, global client capabilities
Employee disengagement and attrition could cost a median-size S&P 500 company more than $288 million a year in lost productivity, according to recent McKinsey research. The more satisfied and committed employees are at work, the higher their self-reported performance and well-being. With hybrid and remote-working models now the norm in many workplaces, how can companies measure employee effectiveness, and in turn, boost productivity? In a new McKinsey Quarterly article, Aaron De Smet, Angelika Reich, and their coauthors describe the six worker archetypes present in every organization—from highly dissatisfied and actively disengaged on one end of the spectrum to “thriving stars” on the other—and suggest what companies can do to help improve the performance of all employees. Check it out to see how your company can build a more resilient and engaged workforce. And don’t miss this week’s sustainable and inclusive growth briefing which features the best-of-summer roundup of SIG insights.
Quote of the day
Chart of the day
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— Edited by Joyce Yoo, editor, New York
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by "McKinsey Daily Read" <publishing@email.mckinsey.com> - 06:23 - 11 Sep 2023 -
Cybersecurity in the age of generative AI: A leader’s guide
Safety first Brought to you by Liz Hilton Segel, chief client officer and managing partner, global industry practices, & Homayoun Hatami, managing partner, global client capabilities
Cyber Awareness Month begins on October 1 in the United States, but it’s never too early for leaders anywhere to think about cybersecurity—especially now that generative AI (gen AI) has profoundly altered the online landscape. Businesses that are eager to take advantage of gen AI’s considerable benefits cannot ignore its increasing risks. Hallucinations, copyright infringement, and advanced social engineering and impersonation are just a few of the many threats that gen AI technology poses to organizations, most of which are already grappling with an ever-increasing number of cyberattacks. Here’s a quick look at what your organization should be prepared for.
It’s not often that a $2 trillion opportunity comes along. That’s the estimated worth of the market for cybersecurity products and services, according to new research led by McKinsey partner Marc Sorel and colleagues. “Currently available commercial solutions do not fully meet customer demands in terms of automation, pricing, services, and other capabilities,” they say. Only about 10 percent of the addressable market is served today; combined with increasing regulation and growing C-suite concerns about security and privacy, this gives both cybersecurity providers and buyers a compelling opportunity. “Until recently, many organizations that required cyber protection were not fully engaged with the challenges they faced,” say the McKinsey experts. “Often, they saw the cost and complexity of action as greater than the need for it. Now, with attacks becoming more frequent, the risk–benefit equation has changed.”
That’s the percentage of respondents to a McKinsey survey who rank cybersecurity as one of the top risks of gen AI adoption. Only 38 percent of organizations are working to mitigate the risk, however, down from 51 percent in 2022. Overall, respondents’ mitigation efforts lag behind their concerns; for example, 39 percent of organizations consider privacy a risk, but only 20 percent are making efforts to counter it. One way to allay risks is to “keep a human in the loop,” suggest McKinsey experts. “That is, make sure a real human checks any gen AI output before it’s published or used.”
That’s McKinsey’s Bryce Hall quoting “one of the most colorful analogies” on gen AI that he has heard from business leaders. “With the speed and advancements in technology, we don’t even know yet what type of electric fence to put into place,” adds McKinsey expert Liz Grennan. “We are seeing a lot of case studies about reputational damage, customer attrition, and erosion of market value, along with increased fines and regulatory scrutiny.” Leading companies that are developing or adopting gen AI solutions are pulling in legal and cyber risk experts from the start, and some global compliance standards may take effect next year. “The stage will be very crowded with both virtue and vice,” says Grennan. “One of next year’s tech trends could be the use of AI to combat the harms of AI because we can’t solve this with traditional means.”
A strong culture often contributes to the success of most corporate initiatives, and cybersecurity is no exception. Developer data platform company MongoDB discovered this when it implemented a security awareness program that encouraged employees to participate in protecting the organization. Roughly more than 100 of the firm’s employees—people from different ranks and locations and with varying levels of expertise—volunteer as “security champions” to test security-related tools, identify potential vulnerabilities, and provide feedback to the company’s security team. A clear win is when feedback from participants leads to a tool’s adoption, says Felix Chen, MongoDB’s cybersecurity education and advocacy senior analyst, in an interview with McKinsey’s James Kaplan and Charlie Lewis. “We ask them for a simple input. Even if it’s something that we don’t go with, the fact that we are asking creates a sense of inclusion and contribution.”
The Journey to Becoming Enlightened Is Arduous is not, as you might think, a serious work of philosophy—it’s one of many AI-generated fake books on online bestseller lists. And what looks like authentic medical insurance for sale may have a fake human peddling it. While some malicious applications of gen AI technology may be easy to spot, many can be convincing enough to spread political propaganda or distort historical fact. No protection method can be considered foolproof, but organizations that invest in the best talent and build cybersecurity into every process and relationship with customers and suppliers stand a better chance of warding off the newest generation of cyberthreats.
Lead securely.
— Edited by Rama Ramaswami, senior editor, New York
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by "McKinsey Leading Off" <publishing@email.mckinsey.com> - 02:47 - 11 Sep 2023 -
We missed you at How To Build a Smart Queue Management System
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by "Intel Developer Zone" <intel.developer.zone@plan.intel.com> - 12:31 - 11 Sep 2023 -
Generative AI has entered the mainstream. How widespread is it among workers?
On Point
Explore our latest survey Brought to you by Liz Hilton Segel, chief client officer and managing partner, global industry practices, & Homayoun Hatami, managing partner, global client capabilities
•
Career builder or breaker? A recent Pew survey finds that workers are split on whether to expect AI technologies to help or hurt their careers over the next 20 years. But IT and technology workers—who are the most exposed to AI—are much more optimistic. They are nearly three times more likely to expect AI to help than to hurt their careers. The Pew research also indicates that women’s roles, which are less likely to require physical labor, are more exposed to AI than men’s. [WaPo]
•
Genuine interest in gen AI. The latest McKinsey Global Survey on AI shows how quickly generative AI tools have caught on. One-third of survey respondents say their organizations are regularly using gen AI in at least one part of their business, and about eight in ten respondents across regions, industries, and seniority levels have at least tried out a gen AI tool. Three-quarters predict that gen AI will cause significant or disruptive change in their industries, and many expect their companies’ AI investments to increase because of advances with gen AI.
•
Expected effects on employees. Senior partners Alexander Sukharevsky, Alex Singla, Lareina Yee and coauthors find with this research that many organizations are not yet fully addressing the risks from gen AI adoption. For example, only 21% of respondents report that their organizations have established policies governing employees’ use of gen AI. Respondents expect gen AI adoption to change their companies’ workforce needs. See which business functions they predict will see the biggest changes and to what extent they expect workers to be reskilled.
— Edited by Heather Hanselman, editor, Atlanta
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by "McKinsey On Point" <publishing@email.mckinsey.com> - 12:29 - 11 Sep 2023