g2เคเฅเคเคพเคจkey @[email protected]
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Welcoem to posts!!
in the future - u will be able to do some more stuff here,,,!! like pat catgirl- i mean um yeah... for now u can only see others's posts :c
๐ง๐ต๐ฒ ๐ง๐ผ๐ฝ ๐ฒ ๐ซ๐ฎ๐ฎ๐ฆ (๐๐ป๐๐๐ต๐ถ๐ป๐ด ๐ฎ๐ ๐ฎ ๐ฆ๐ฒ๐ฟ๐๐ถ๐ฐ๐ฒ) ๐ ๐ผ๐ฑ๐ฒ๐น๐ ๐๐ผ ๐๐ผ๐ผ๐๐ ๐ฌ๐ผ๐๐ฟ ๐๐๐๐ถ๐ป๐ฒ๐๐
As technology continues to evolve at a rapid pace, businesses are increasingly turning to cloud-based solutions to drive efficiency, scalability, and cost savings.
XaaS (Everything as a Service) models can help you achieve this by providing on-demand access to a variety of services, from software and storage to infrastructure and analytics.
โข ๐ฆ๐ฎ๐ฎ๐ฆ (๐ฆ๐ผ๐ณ๐๐๐ฎ๐ฟ๐ฒ ๐ฎ๐ ๐ฎ ๐ฆ๐ฒ๐ฟ๐๐ถ๐ฐ๐ฒ): This is the most common type of XaaS model, and it allows you to use software applications over the internet on a subscription basis. Some popular examples of SaaS applications include Salesforce, Microsoft Office 365, and Zendesk.
โข ๐ฃ๐ฎ๐ฎ๐ฆ (๐ฃ๐น๐ฎ๐๐ณ๐ผ๐ฟ๐บ ๐ฎ๐ ๐ฎ ๐ฆ๐ฒ๐ฟ๐๐ถ๐ฐ๐ฒ): PaaS provides a platform for developing, deploying, and managing applications. This can be a great option for businesses that want to build custom applications without having to invest in the underlying infrastructure. Some popular examples of PaaS platforms include AWS Elastic Beanstalk, Google App Engine, and Microsoft Azure.
โข ๐๐ฎ๐ฎ๐ฆ (๐๐ป๐ณ๐ฟ๐ฎ๐๐๐ฟ๐๐ฐ๐๐๐ฟ๐ฒ ๐ฎ๐ ๐ฎ ๐ฆ๐ฒ๐ฟ๐๐ถ๐ฐ๐ฒ): IaaS provides you with the basic building blocks of IT infrastructure, such as servers, storage, and networking. This allows you to scale your IT resources up or down as needed, without having to invest in hardware or software. Some popular examples of IaaS providers include Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform.
โข ๐๐ฎ๐ฎ๐ฆ (๐๐ฎ๐๐ฎ ๐ฎ๐ ๐ฎ ๐ฆ๐ฒ๐ฟ๐๐ถ๐ฐ๐ฒ): DaaS delivers on-demand access to cloud storage, perfect for storing massive datasets or securely backing up data. Popular DaaS providers include Amazon S3, Microsoft Azure Blob Storage, and Google Cloud Storage.
โข ๐ฆ๐ง๐ฎ๐ฎ๐ฆ (๐ฆ๐๐ผ๐ฟ๐ฎ๐ด๐ฒ ๐ฎ๐ ๐ฎ ๐ฆ๐ฒ๐ฟ๐๐ถ๐ฐ๐ฒ): STaaS provides you with on-demand access to cloud storage. This can be a great option for businesses that need to store large amounts of data or that want to back up their data securely. Some popular examples of STaaS providers include Amazon S3, Microsoft Azure Blob Storage, and Google Cloud Storage.
โข ๐๐ฎ๐ฎ๐ฆ (๐๐๐ป๐ฐ๐๐ถ๐ผ๐ป๐ ๐ฎ๐ ๐ฎ ๐ฆ๐ฒ๐ฟ๐๐ถ๐ฐ๐ฒ): FaaS allows you to develop and deploy code without having to worry about managing the underlying infrastructure. This can be a great option for businesses that need to build microservices or serverless applications. Some popular examples of FaaS providers include AWS Lambda, Google Cloud Functions, and Microsoft Azure Functions.
Share your thoughts in the comments below!
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Load Balancer Realistic Use Cases ๐๐จ๐ฎ ๐๐๐ฒ ๐๐จ๐ญ ๐๐ง๐จ๐ฐ.
Load balancers are inherently dynamic and adaptable, designed to efficiently address multiple purposes and use cases in network traffic and server workload management.
Let's explore some of the use cases:
1. Failure Handling:
Automatically redirects traffic away from malfunctioning elements to maintain continuous service and reduce service interruptions.
2. Instance Health Checks:
Continuously evaluates the functionality of instances, directing incoming requests exclusively to those that are fully operational and efficient.
3. Platform Specific Routing:
Routes requests from different device types (like mobiles, desktops) to specialized backend systems, providing customized responses based on platform.
4. SSL Termination:
Handles the encryption and decryption of SSL traffic, reducing the processing burden on backend infrastructure.
5. Cross Zone Load Balancing:
Distributes incoming traffic across various geographic or network zones, increasing the system's resilience and capacity for handling large volumes of requests.
6. User Stickiness:
Maintains user session integrity and tailored user interactions by consistently directing requests from specific users to designated backend servers.
Over to you:
Which of these use cases would you consider adding to your network to enhance system reliability and why?
#systemdesign #coding #interviewtips
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๐๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ถ๐ฎ๐น ๐๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ ๐๐
๐ฝ๐น๐ฎ๐ถ๐ป๐ฒ๐ฑ
A Comprehensive Overview:
๐๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ถ๐ฎ๐น ๐๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ:
โข Automated Programming
โข Knowledge Representation
โข Expert Systems
โข Planning and Scheduling
โข Speech Recognition
โข Intelligent Robotics
โข Visual Perception
โข Natural Language Processing (NLP)
โข Problem Solving & Search Strategies
๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด:
โข K-Means Clustering
โข Principal Component Analysis (PCA)
โข Automatic Reasoning
โข Random Forest
โข Decision Trees
โข Ensemble Methods
โข Naive Bayes
โข Classification
โข Anomaly Detection
โข Reinforcement Learning
๐ก๐ฒ๐๐ฟ๐ฎ๐น ๐ก๐ฒ๐๐๐ผ๐ฟ๐ธ๐:
โข Radial Basis Function Networks
โข Recurrent Neural Networks (RNN)
โข Autoencoders
โข Hopfield Networks
โข Modular Neural Networks
โข Adaptive Resonance Theory (ART)
๐๐ฒ๐ฒ๐ฝ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด:
โข Convolutional Neural Networks (CNN)
โข Long Short-Term Memory Networks (LSTM)
โข Deep Reinforcement Learning
โข Generative Adversarial Networks (GAN)
โข Deep Belief Networks (DBN)
#deeplearning #ai #machinelearning #neuralnetworks
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How does REST API work?
What are its principles, methods, constraints, and best practices?
I hope the diagram below gives you a quick overview.
#systemdesign #coding #interviewtips
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Today, I want to share with you the key steps outlined in this diagram, which are still highly relevant for anyone looking to adopt CI/CD successfully.
1. Start Small, Think Big: Begin your CI/CD implementation with a single pipeline. Resist the temptation to automate everything at once. Instead, identify a pipeline that aligns with your goals and master it before expanding further.
2. Build a Knowledge Powerhouse: As you progressively automate more pipelines, you'll accumulate a wealth of institutional knowledge. Document your learnings, share best practices, and foster a culture of continuous improvement.
3. Break Down Silos: CI/CD serves as a bridge between development and operations teams. Embrace this opportunity to align your teams and promote collaboration. Ensure that your tools and processes facilitate seamless communication and enable dev and ops to work together harmoniously.
4. Automate : Automation is the backbone of CI/CD, especially when managing it at scale. Harness the power of automation to standardize and streamline your builds, tests, and deployments.
5. Monitor, Measure, and Optimize: Keep a vigilant eye on your CI/CD pipelines and the systems they support. Implement robust monitoring mechanisms to swiftly detect and resolve any issues that may arise. Track key performance indicators such as lead time, deployment frequency, and test coverage to gauge the effectiveness of your CI/CD practices and identify areas for improvement.
6. Secure Leadership Buy-In: Before embarking on your CI/CD adoption journey, it's essential to get the support and buy-in from your leadership team. With their backing, you'll have the resources and authority to drive the initiative forward.
7. Empower Your Teams: Invest in educating your teams about CI/CD practices and the tools you'll be using. Provide training, workshops, and resources to ensure everyone is on the same page and equipped with the knowledge they need to leverage CI/CD effectively.
8. Choose the Right Tools: Select CI/CD tools and technologies that align with your organization's specific needs and constraints. Consider factors such as scalability, compatibility with your existing infrastructure, ease of use, and community support. Remember, the right tools can make all the difference in streamlining your CI/CD workflows and maximizing efficiency.
9. Start Small, Scale Strategically: Avoid the temptation to overhaul your entire development process overnight. Instead, start small by piloting CI/CD on low-risk projects. As you gain confidence and witness the benefits firsthand, gradually expand your implementation to more complex and critical projects.
Have I overlooked anything?
Please share your thoughtsโyour insights are priceless to me.
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Almost every software engineer has used Linux before, but only a handful know how its Boot Process works :) Let's dive in.
The diagram below shows the steps.
Step 1 - When we turn on the power, BIOS (Basic Input/Output System) or UEFI (Unified Extensible Firmware Interface) firmware is loaded from non-volatile memory, and executes POST (Power On Self Test).
Step 2 - BIOS/UEFI detects the devices connected to the system, including CPU, RAM, and storage.
Step 3 - Choose a booting device to boot the OS from. This can be the hard drive, the network server, or CD ROM.
Step 4 - BIOS/UEFI runs the boot loader (GRUB), which provides a menu to choose the OS or the kernel functions.
Step 5 - After the kernel is ready, we now switch to the user space. The kernel starts up systemd as the first user-space process, which manages the processes and services, probes all remaining hardware, mounts filesystems, and runs a desktop environment.
Step 6 - systemd activates the default. target unit by default when the system boots. Other analysis units are executed as well.
Step 7 - The system runs a set of startup scripts and configure the environment.
Step 8 - The users are presented with a login window. The system is now ready.
#systemdesignย #codingย #interviewtips
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Everything is a trade-off.
Everything is a compromise.
There is no right or wrong design.
The diagram below shows some of the most important trade-offs.
๐น Cost vs. Performance
๐น Reliability vs. Scalability
๐น Performance vs. Consistency
๐น Security vs. Flexibility
๐น Development Speed vs. Quality
Over to you: What trade-offs have you made in the past?
โย
#systemdesignย #codingย #interviewtipsย
โช@g2GyanKeyโฌย #g2gyankey #2024
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