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🎨 Here's a puzzle for you: Is cloud computing an art or a science? ⭐️ Is there a creative side to designing cloud architectures, or is it primarily about balancing best practices with innovative solutions? What are your thoughts? 🚀 Join us in the AWS Builders Online Series to explore this question. We'll dive into a mix of concepts, demos, and tools to help you develop your own approach to building in the cloud. See you there! 👉🏻 Register here: https://go.aws/3ZLhwgY #gobuild #aws

💡Facts tell, stories sell. Stories connect, build trust & drive action. And nothing in business happens without connection, trust, and moving people to action. That’s why storytelling is one of the highest ROI skills in business.    Here are 6 storytelling frameworks to elevate your communication:  1️⃣ The Heroine’s Journey   From feeling like an outsider to finding belonging and reshaping the world through relationships. Perfect for stories about personal growth, diversity, or inclusive culture.  2️⃣ Founder Story   Start with the spark of an idea, face the challenges, and celebrate success. Ideal for connecting emotionally with customers, investors, or your audience.  3️⃣ Flip the Script (by Oren Klaff) Normal ➡️ Big Change ➡️ New Normal. Use this for marketing messages that highlight how your solution drives transformation.  4️⃣ The Red Thread (by Tamsen Webster)  Goal ➡️ Problem ➡️ Truth ➡️ Decision ➡️ Action. A quick, sharp way to present any idea with impact. 5️⃣ Company Story   Show your company’s milestones, challenges, and impact, tied together with a clear vision. Best for profiles, reports, or investor pitches.  6️⃣ Leadership Story  Problem ➡️ Solution ➡️ Outcome. Showcase your leadership in action—great for team-building or sharing key decisions.  🎯 Pro Tip: Match your story to the framework that fits your message AND your audience. Which one will you try first? Let me know in the comments! ⬇️  ♻️ Please share with your network & follow Oliver Aust for daily tips on leadership communication

Large Language Models (LLMs) have revolutionized industries by providing solutions that save time, streamline processes, and improve customer experiences. 𝐃𝐞𝐯𝐎𝐩𝐬 𝐅𝐑𝐄𝐄 𝐖𝐞𝐛𝐢𝐧𝐚𝐫 & 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞𝐬 https://lnkd.in/guyz-k2j Let’s explore six major LLM applications that are transforming businesses today. 𝑻𝒆𝒙𝒕 𝑮𝒆𝒏𝒆𝒓𝒂𝒕𝒊𝒐𝒏: Automated, human-like content for blogs, emails, and more. 𝑨𝑰 𝑨𝒔𝒔𝒊𝒔𝒕𝒂𝒏𝒕𝒔: Boost productivity with scheduling, data entry, and quick responses. 𝑺𝒆𝒏𝒕𝒊𝒎𝒆𝒏𝒕 𝑨𝒏𝒂𝒍𝒚𝒔𝒊𝒔: Analyze customer feedback to improve brand reputation. 𝑪𝒐𝒏𝒕𝒆𝒏𝒕 𝑺𝒖𝒎𝒎𝒂𝒓𝒊𝒛𝒂𝒕𝒊𝒐𝒏: Get key insights faster by summarizing lengthy documents. 𝑪𝒐𝒅𝒆 𝑮𝒆𝒏𝒆𝒓𝒂𝒕𝒊𝒐𝒏: Speed up development with generated code and debugging. 𝑳𝒂𝒏𝒈𝒖𝒂𝒈𝒆 𝑻𝒓𝒂𝒏𝒔𝒍𝒂𝒕𝒊𝒐𝒏: Seamlessly engage global audiences with accurate translations. Access top tools for images, text, and code—all in one platform { https://www.thealpha.dev/ } Credit - TheAlpha.Dev 𝐃𝐞𝐯𝐎𝐩𝐬 𝐅𝐑𝐄𝐄 𝐖𝐞𝐛𝐢𝐧𝐚𝐫 & 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞𝐬 https://lnkd.in/guyz-k2j

🌐 Welcome to the World of Microservices! 🌐 Imagine a digital universe where software modules work together like a team of tiny superheroes, each with its own unique power. This is Microservices Architecture—where small is truly mighty! 💪✨ In this agile world, each microservice is a small, independent piece of software that can be developed, deployed, and scaled individually, while seamlessly communicating through well-defined APIs. 🌍🚀 Microservices empower applications to be flexible, resilient, and highly scalable. Here are some powerful design patterns that make microservices shine: 🛡️ Gateway Pattern: Acting as the single entry point for all microservice calls. 📡 Service Registry Pattern: Helping services discover each other. ⚡ Circuit Breaker Pattern: Protecting services from cascading failures. 🔄 SAGA Pattern: Managing complex transactions across services. 🔧 CQRS (Command Query Responsibility Segregation): Separating read and write operations for improved performance. 🧱 Bulkhead Pattern: Isolating components to prevent failures from spreading. 🚗 Sidecar Pattern: Adding extra functionalities without impacting core services. 🔗 API Composition Pattern: Orchestrating multiple services into a single API response. ⚙️ Event-Driven Architecture: Enabling services to react to events asynchronously. 📊 Database per Service: Keeping data isolated within each service. 🔁 Retry Pattern: Handling transient failures by retrying failed operations. 📂 Configuration Externalization: Centralizing configuration management for flexibility. 🌿 Strangler Fig Pattern: Gradually refactoring legacy systems into microservices. 🏆 Leader Election Pattern: Ensuring high availability by electing a leader for decision-making. 💡 Whether you're building a new app or evolving a legacy system, microservices design patterns will take your architecture to the next level. Ready to harness the power of microservices? 👏 If you found this post helpful, don't forget to like👍, and share your thoughts in the comment 🗨️ section below! Also, consider reposting🔄 to spread the knowledge! credit : Hina Arora Follow MOHAMMAD FAISAL for amazing content ✨️ related to Web 🕸 Development and Programming. #Microservices #SoftwareDevelopment #DesignPatterns #Architecture

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12 Types of Algorithms you should must know Understanding different algorithms is key to solving computational problems. ✓ 𝐁𝐫𝐮𝐭𝐞 𝐅𝐨𝐫𝐜𝐞 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬: Exhaustively check all possibilities. Simple but time-consuming for large datasets. https://lnkd.in/dEhMKacU ✓ 𝐃𝐢𝐯𝐢𝐝𝐞 𝐚𝐧𝐝 𝐂𝐨𝐧𝐪𝐮𝐞𝐫 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬: Break problems into smaller sub-problems, solve independently, and combine solutions. https://lnkd.in/drufkt5W ✓ 𝐆𝐫𝐞𝐞𝐝𝐲 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬: Make locally optimal choices aiming for a global optimum. Simple and efficient. https://lnkd.in/dShBaDBn ✓ 𝐃𝐲𝐧𝐚𝐦𝐢𝐜 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬: Solve by breaking problems into overlapping sub-problems and storing results to reduce time complexity. https://lnkd.in/ddKTunsW ✓ 𝐑𝐚𝐧𝐝𝐨𝐦𝐢𝐳𝐞𝐝 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬: Use random elements, offering faster solutions on average. https://lnkd.in/dDRfqzRr ✓ 𝐁𝐚𝐜𝐤𝐭𝐫𝐚𝐜𝐤𝐢𝐧𝐠 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬: Systematically search all possible solutions, abandoning paths that cannot be extended. https://lnkd.in/dUt-8y53 ✓ 𝐇𝐞𝐮𝐫𝐢𝐬𝐭𝐢𝐜 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬: Provide feasible, not always optimal, solutions. Used in optimization problems. https://lnkd.in/drJQDtER ✓ 𝐒𝐨𝐫𝐭𝐢𝐧𝐠 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬: Arrange elements in order. Examples include Bubble Sort and Quick Sort. https://lnkd.in/daCPWTCk ✓ 𝐒𝐞𝐚𝐫𝐜𝐡𝐢𝐧𝐠 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬: Find the position of a target value. Examples include Linear Search and Binary Search. https://lnkd.in/dU-43iRP ✓ 𝐆𝐫𝐚𝐩𝐡 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬: Solve problems related to graphs (nodes and edges). Examples include Dijkstra's and BFS. https://lnkd.in/daaq247W ✓ 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬: Used in ML models, including supervised, unsupervised, and reinforcement learning. https://lnkd.in/d_PFcfWx ✓ 𝐂𝐫𝐲𝐩𝐭𝐨𝐠𝐫𝐚𝐩𝐡𝐲 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬: Ensure secure communication. Examples include AES and RSA. https://lnkd.in/drg9XRBT 𝐉𝐨𝐢𝐧 𝐦𝐲 𝐖𝐡𝐚𝐭𝐬𝐀𝐩𝐩 𝐜𝐡𝐚𝐧𝐧𝐞𝐥 𝐡𝐞𝐫𝐞: https://lnkd.in/d4YiB9xt Join my Telegram channel here: https://lnkd.in/dVNAn35i Follow Ashish Misal for more insightful content on System Design, JavaScript and MERN Technologies!

𝑫𝒆𝒗𝑶𝒑𝒔 𝑳𝒊𝒇𝒆𝒄𝒚𝒄𝒍𝒆 𝑱𝒐𝒊𝒏 𝑶𝒖𝒓 𝑻𝒆𝒄𝒉 𝑪𝒐𝒎𝒎𝒖𝒏𝒊𝒕𝒚 -> 𝑮𝒖𝒊𝒅𝒆 𝑶𝒕𝒉𝒆𝒓’𝒔 -> 𝑾𝒊𝒏 𝑬𝒙𝒄𝒊𝒕𝒊𝒏𝒈 𝑹𝒆𝒘𝒂𝒓𝒅𝒔 ->https://app.thealpha.dev/ 1. 𝑪𝒐𝒅𝒆: - Developers create the software code. - They use tools like Git to work together and keep track of changes. - Code is like the digital building blocks of the software. 2. 𝑩𝒖𝒊𝒍𝒅: - Turns the written code into a form the computer can understand. - Automated tools like Jenkins or Travis CI help speed up this process and reduce mistakes. - This step ensures the software is ready for the next phases. 3. 𝑻𝒆𝒔𝒕: - Software is tested for bugs and other issues. - Automated testing tools like JUnit or Selenium make sure the software works well. - This phase helps catch problems early on, ensuring quality. 4. 𝑹𝒆𝒍𝒆𝒂𝒔𝒆: - Puts the tested software into action. - Continuous integration and delivery (CI/CD) practices automate this for speed and reliability. - Users get to experience the new or updated software. 5. 𝑴𝒐𝒏𝒊𝒕𝒐𝒓: - Teams keep an eye on how the software is doing after release. - Monitoring tools like Prometheus help catch problems early and keep things running smoothly. - This phase ensures a good user experience. 6. 𝑶𝒑𝒆𝒓𝒂𝒕𝒆: - Manages the day-to-day running of the software in real-time. - Automation and optimization strategies help keep everything working well for users. - This phase ensures the software stays reliable and responsive. 7. 𝑷𝒍𝒂𝒏: - Planning is a key part of DevOps. - Teams use tools like Jira or Trello to plan and prioritize what needs to be done next. - Agile methodologies help teams adapt to changing requirements. 8. 𝑫𝒆𝒑𝒍𝒐𝒚: - Makes the software ready to handle more users. - Infrastructure as code (IaC) automates this process for a smooth and scalable deployment. - This phase sets the stage for future improvements and expansions. 9. 𝑺𝒄𝒂𝒍𝒆: - Involves making the software capable of handling more users and data. - Infrastructure is expanded, and resources are scaled to meet growing demands. - Scalability ensures the software can grow with the organization's needs. 10. 𝑭𝒆𝒆𝒅𝒃𝒂𝒄𝒌 𝑳𝒐𝒐𝒑: - DevOps is about continuous improvement. - Teams gather feedback from users and operations to make future development cycles better. - This loop helps in adapting to changes and delivering value consistently. 𝑱𝒐𝒊𝒏 𝑶𝒖𝒓 𝑻𝒆𝒄𝒉 𝑪𝒐𝒎𝒎𝒖𝒏𝒊𝒕𝒚 -> 𝑮𝒖𝒊𝒅𝒆 𝑶𝒕𝒉𝒆𝒓’𝒔 -> 𝑾𝒊𝒏 𝑬𝒙𝒄𝒊𝒕𝒊𝒏𝒈 𝑹𝒆𝒘𝒂𝒓𝒅𝒔 ->https://app.thealpha.dev/ #devops #engineering

If code needs a babysitter, it's not ready for QA. Handing spaghetti code to QA is just asking for trouble. The first time someone mentioned "spaghetti code" to me,  I thought, “That sounds like delicious code!”. Then they said: “spaghetti code with meatballs,”  and as an Italian,  I couldn’t handle it. — That’s when I understood what it really meant. (No pineapples on pizza, please) Here the top 10 comments about spaghetti code: 1. The Straight-Talking QA Veteran: "If your code can’t stand on its own, it’s not walking into QA." 2. The Sarcastic Developer: "Guess your code still needs a diaper change before QA can handle it." 3. The Fed-Up Project Manager: "Stop treating QA like a sous-chef for half-baked code." 4. The Cynical Tech Lead: "Unless your code can play by itself, don’t drop it on QA." 5. The Meticulous Tester (me): "If I have to hold its hand, it’s not fit for testing." 6. The No-Nonsense Product Owner: "QA isn’t here to validate bad code; send it back to dev." 7. The Overloaded QA Engineer: "I’m not here to deal with unfinished code; bring it when it’s done." 8. The Quality-Obsessed CTO: "Code should be dev-tested before it enters the QA arena." 9. The Deadpan Agile Coach: "If your code needs a nanny, maybe it’s not sprint-ready." 10. The Witty Scrum Master: "If code needs a babysitter, it's not ready for QA." Let's write down a few commandments: • It's not making QA your safety net • It's not about skipping code reviews • It's not about ignoring proper testing • It's not using QA as your backup plan  • It's not QA's job to clean up your mess • It's not about rushing code to meet deadlines • It's not about making QA perform his/her magic tricks • It's not dumping code with no docs and no test-data in support Here's what it really is about: • Preventing bugs before QA sees them • Ensuring code quality from the start • Understanding QA isn't your janitor • Taking responsibility for your code • Making QA's job easier, not harder • Collaborating with QA earlier • Writing clean, tested code • Respecting QA's role If you want a smooth QA process, make sure your code is solid. Don't complain the development has been blocked, help to prevent it. → It reduces bugs. → It speeds up releases. → It makes the team stronger. Respect the QA process. Your project will thank you for it. Working with data? 🟩 Start today.  → use ShipDataFast .com → Make data reliability a priority. 🥷 🔃 Read it, Comment it, Repost it! → Repost with "Ship Data Fast"  → and receive access to the test data strategy that has saved us hours! 👉 Send me a DM if you're interested in joining  👉 our ShipDataFast .com affiliate program! Note: Intentionally rushed billboard code. I enjoy picturing you staring at the screen,  wondering what went wrong

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