Scalable Hybrid Solutions

You may have come across numerous chatting application projects, but are they truly scalable? Can they effectively handle database downtime or manage sudden surges in incoming messages? Absolutely not. Imagine a scenario where Server 1 has a capacity for just 10 users. When the 11th user attempts to connect, a new server spins up according to the auto-scaling policy. However, the issue arises when both servers are not interconnected, resulting in users on the first server being unable to communicate with those on the second server. Consequently, this architecture lacks scalability. To address this issue, I've implemented a solution using Redis, PostgreSQL, and Kafka on Aiven Cloud. All incoming messages across servers are routed to a Redis Cluster hosted on Aiven Cloud. Additionally, for message storage, a PostgreSQL service is deployed on Aiven Cloud, which is a straightforward process. However, if there's a sudden surge in messages alongside user numbers, and a high volume of read or write queries strain the database, downtime may occur. To mitigate this, a Kafka cluster acts as a message broker on Aiven Cloud. Incoming messages are directed to the Kafka cluster due to its high throughput capability. Subsequently, a consumer, implemented as a separate Node.js server, gradually processes messages from the Kafka cluster and stores them in the database. If database downtime occurs, the consumer server can be temporarily shut down, resuming once the database is operational again. This approach ensures that no incoming data is lost, while also reducing the database load, rendering the entire backend scalable.

The Best of Both Worlds: How a Hybrid MPA/SPA Unlocks Scalable, Efficient PWAs 🚀 As a veteran in this field, I've seen a hard swing from server-rendered to MVC, to fully client-rendered SPAs, and a full 180 back to SSR. After the industry swung hard towards SPAs, back when JavaScript frameworks took over, resulting in big bloated, monolithic bundles, slowing down real-world performance, we're seeing a 180-degree move back to server-side rendering. But what if could leverage the best of both approaches? 👉 The best approach for a modern, scalable, and efficient PWA is a Hybrid MPA/SPA. Enter the Hybrid MPA Strategy. Each major route is a separate MPA folder (e.g., /dashboard/, /settings/), meaning native navigation works, and SEO is intact. Each folder has its own index.html + lightweight index.js, allowing local SPA-style navigation using modern, browser-native navigation interception. A shared ESM bundle (app.js) exposes global logic, including state management, an MPA app shell web component, and stuff like localization. Also in the shared bundle are utility functions and shared Web Components (design system). Each page only loads what it needs. Imagine that. All shared stuff is loaded via the bundle, and the page-specific features/flows are only loaded when in scope. 💡No server-side logic or bundler hacks needed—this runs purely on native Web Standards 🤯. 🔥 Why This is the Best of Both Worlds ✅ MPA simplicity: Fast loads, SEO-friendly, and no fragile client-rendering bottlenecks. ✅ SPA-like experience: Fluid transitions, local client-side routing, and instant navigation. ✅ Blazing fast & scalable: Native ESM code-splitting means each page loads only what it needs. ✅ No framework lock-in: Works with pure Web Components (Lit) and leverages modern browser APIs (e.g., View Transitions). 🚀 The Future of PWAs is Hybrid With this setup, we get a PWA that scales effortlessly, avoids SPA bloat, and still delivers an amazing UX. No more massive hydration overheads, no deep-linking nightmares, no overcomplicated routing. Just fast, scalable, and maintainable web apps. And last but not least: simplified web development! Would love to hear your take! Are you still all-in on SPAs, or are you rethinking the balance? 👇 #webcomponents #sustainableweb #webstandards #PWA #MPA #SPA

“What QMS structure should we build now… so we’re not rebuilding it in two years?” That’s the question a founder asked me last month, right after landing their Series A and preparing to expand into two new markets. I’ve heard variations of it from at least six companies in the past quarter alone, which tells me this isn’t just a tactical choice anymore, it’s strategic. As companies grow in new markets, new manufacturing partners, and new product variations, the question of centralized vs. decentralized QMS shows up sooner or later. And there’s no one-size-fits-all answer. Here’s what I've seen work (and backfire) across the board: 🛡️ Centralized QMS ✔ Great for small-to-mid-size teams or companies expanding under a single quality umbrella. ✔ Consistency, audit readiness, and precise document control. ❌ Can be slow, inflexible, and frustrating for local teams who need speed and nuance. 🌍 Decentralized QMS ✔ Gives full autonomy to each site, which works for large multinationals or those with distinct product families. ❌ The flip side is duplication, inconsistent compliance, and fragmented oversight. 🔗 Hybrid QMS (the model I increasingly recommend) ✔ Combines corporate-level SOPs with region-specific adaptations. ✔ Allows for shared ownership, but ensures traceability and alignment during audits. ✔ Particularly helpful when simultaneously scaling across the U.S., EU, and APAC. I often help clients transition from decentralized to hybrid as their operations mature, or from centralized to hybrid as they expand globally and need more localized agility. In my experience, the question isn't just “Which model should we use?” It’s: “What level of control, flexibility, and clarity do we need today and 18 months from now?” #QualityManagementSystem #MedTech #RegulatoryCompliance #ScalableSystems #GlobalExpansion #Elexes #MedicalDevices

🚨NSA Releases Guidance on Hybrid and Multi-Cloud Environments🚨 The National Security Agency (NSA) recently published an important Cybersecurity Information Sheet (CSI): "Account for Complexities Introduced by Hybrid Cloud and Multi-Cloud Environments." As organizations increasingly adopt hybrid and multi-cloud strategies to enhance flexibility and scalability, understanding the complexities of these environments is crucial for securing digital assets. This CSI provides a comprehensive overview of the unique challenges presented by hybrid and multi-cloud setups. Key Insights Include: 🛠️ Operational Complexities: Addressing the knowledge and skill gaps that arise from managing diverse cloud environments and the potential for security gaps due to operational siloes. 🔗 Network Protections: Implementing Zero Trust principles to minimize data flows and secure communications across cloud environments. 🔑 Identity and Access Management (IAM): Ensuring robust identity management and access control across cloud platforms, adhering to the principle of least privilege. 📊 Logging and Monitoring: Centralizing log management for improved visibility and threat detection across hybrid and multi-cloud infrastructures. 🚑 Disaster Recovery: Utilizing multi-cloud strategies to ensure redundancy and resilience, facilitating rapid recovery from outages or cyber incidents. 📜 Compliance: Applying policy as code to ensure uniform security and compliance practices across all cloud environments. The guide also emphasizes the strategic use of Infrastructure as Code (IaC) to streamline cloud deployments and the importance of continuous education to keep pace with evolving cloud technologies. As organizations navigate the complexities of hybrid and multi-cloud strategies, this CSI provides valuable insights into securing cloud infrastructures against the backdrop of increasing cyber threats. Embracing these practices not only fortifies defenses but also ensures a scalable, compliant, and efficient cloud ecosystem. Read NSA's full guidance here: https://lnkd.in/eFfCSq5R #cybersecurity #innovation #ZeroTrust #cloudcomputing #programming #future #bigdata #softwareengineering

Embracing AI with a Hybrid Multi-Cloud Strategy in Financial Services Official Link: https://lnkd.in/gDGiWE55 SS&C GlobeOp white paper on "A Hybrid Multi-Cloud Strategy for Deploying AI Models," offers crucial insights for financial institutions looking to leverage AI effectively while navigating the complexities of security and compliance. Key Insights: - Balancing Act: The report highlights the importance of a hybrid multi-cloud approach, combining private and public clouds to manage sensitive data while ensuring scalability and performance. - Security and Compliance: It addresses the challenges of integrating third-party AI models and emphasizes robust security measures, such as Zero Trust policies and data encryption, to protect sensitive information. - Practical Implementation: The paper outlines actionable steps for organizations, including workload assessments and cost optimization strategies, to streamline AI deployments across diverse cloud environments. This white paper is a must-read for anyone in the #financial sector aiming to harness AI potential while maintaining stringent data governance. #AI #cloudstrategy #financialservices #datasecurity #innovation #SSandC

𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝗶𝘇𝗶𝗻𝗴 𝗛𝘆𝗯𝗿𝗶𝗱 𝗦𝗲𝗮𝗿𝗰𝗵 𝗶𝗻 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝗦𝗤𝗟 𝘄𝗶𝘁𝗵 𝗽𝗴𝗮𝗶 𝗮𝗻𝗱 𝗖𝗼𝗵𝗲𝗿𝗲! In the data-driven world we live in, search functionality is the backbone of many applications. However, traditional hybrid search models often struggle to balance precision, efficiency, and complexity. That’s where pgai from Timescale  steps in, offering a solution that redefines hybrid search within PostgreSQL. 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 𝗼𝗳 𝗧𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗛𝘆𝗯𝗿𝗶𝗱 𝗦𝗲𝗮𝗿𝗰𝗵: Hybrid search models combine vector and keyword search for better data retrieval but face several issues: - 𝗠𝘂𝗹𝘁𝗶𝗽𝗹𝗲 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 & 𝗦𝘆𝘀𝘁𝗲𝗺𝘀: Managing data across systems increases complexity and synchronization challenges. - 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻-𝗟𝗲𝘃𝗲𝗹 𝗝𝗼𝗶𝗻𝘀 & 𝗥𝗲-𝗥𝗮𝗻𝗸𝗶𝗻𝗴: Merging data from various sources can be resource-intensive and slow performance. - 𝗖𝗼𝗺𝗽𝗹𝗲𝘅 𝗤𝘂𝗲𝗿𝘆 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀: Navigating vector and keyword searches often requires complex query syntax, making maintenance and optimization difficult as data grows. 🐘 𝗽𝗴𝗮𝗶: 𝗔 𝗚𝗮𝗺𝗲-𝗖𝗵𝗮𝗻𝗴𝗲𝗿 𝗳𝗼𝗿 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝗦𝗤𝗟: With pgai, PostgreSQL natively integrates semantic search (with dense embeddings for context) and keyword search (with sparse embeddings for exact matching) using Timescale. This combination is a powerful shift from traditional models, bringing several unique benefits to the table: 1️⃣Efficient Storage: By leveraging Timescale for storing dense and sparse embeddings, pgai allows for efficient storage and retrieval, which is optimized for hybrid search use cases. 2️⃣ Smooth Integration: pgai enables semantic search with Cohere’s embeddings, adding a layer of contextual understanding. This allows searches to capture not only exact terms but also the intent behind them, enhancing relevance. 3️⃣ Accurate Re-Ranking: pgai’s integrated re-ranking capability ensures that both semantic and exact results are ordered effectively, prioritizing the most relevant items in a fraction of the time. 4️⃣ Accelerated Performance: With pgai, search latency is significantly reduced. By performing dense and sparse searches in a single step, it speeds up retrieval, offering a seamless user experience even with large datasets. 𝗞𝗲𝘆 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀: - pgai’s hybrid search is faster and more accurate than traditional methods, handling both dense (semantic) and sparse (keyword) embeddings with ease. - Simplified indexing and storage with Timescale ensures minimal maintenance. - Better ranking and relevance: pgai enhances how we interact with PostgreSQL, making it easier for developers to implement powerful search solutions in applications. With pgai, Timescale is bringing a truly transformative solution to PostgreSQL users. 𝗽𝗴𝗮𝗶 𝗚𝗶𝘁𝗛𝘂𝗯 - https://lnkd.in/e5mDkxRv

Building a Hybrid Cloud Solution for NATO Open Source: A Commercial Partnership Opportunity Talking with Mark and Steven during the weekend at #CWIX got me thinking. The NATO Open Source initiative has set the stage for a revolutionary approach to software development and collaboration. By combining centralized and cloud edge services, this hybrid cloud solution has the potential to transform the way nations work together on critical missions. As commercial partners, Google, Microsoft, and Amazon can play a crucial role in building and operating this innovative infrastructure. The proposed hybrid cloud solution would leverage both centralized cloud services and cloud edge services provided by NATO allies. This architecture would enable the sharing of resources, expertise, and data, creating a robust and scalable platform for #devops. Centralized: 🏰 Google, Microsoft, Amazon and other partners could jointly host the central cloud infrastructure, providing a secure and compliant environment for core applications, data storage, and collaboration tools. They could specialise in certain strengths and requirements (e.g. Microsoft for legacy services) 🕰 This centralized cloud would ensure standardized platforms for development and deployment, reducing complexity and improving interoperability. ⚒ By having all major players participate in the construction, there would be no vendor lock-in, and the whole world could benefit from this largest laboratory-like environment for highly secured data transfer and storage. This would also highly increase the redundancy of activities. Cloud Edge Services: ☁ NATO allies can contribute cloud resources and services at the network edge, providing additional processing power, storage, and disaster recovery capabilities closer to operational areas based on common designs and reference architectures. ☁ These cloud edge services would enhance responsiveness and reduce latency for time-sensitive applications, while also ensuring sovereignty and control over data. Benefits of a Hybrid Cloud Solution: 🌍 Flexibility and Scalability: The hybrid cloud provides the flexibility to scale resources up or down based on project needs, allowing for customization and regional optimization. 🚒 Resilience and Redundancy: Distributing services across central cloud and multiple national clouds ensures redundancy and minimizes the impact of outages in any single location. 🔐 Massive resources would allow amazing security, allowing the use of highly evolved machine learning models and quantum cryptography to ensure secrets remain secrets. Naturally, a clear governance model needs to be established to manage resource allocation, service level agreements, and cost-sharing between NATO, nations and commercial partners. This would ensure transparency, accountability, and efficient use of resources. Idealistic? For sure. Big, hairy and audacious? Of course. Doable? Yes. #changemanagement #natoopensource