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Scand
2w
191
Image Credit: Scand
Challenges of Implementing Microservice Architecture
- Implementing microservice architecture offers opportunities for flexibility, scalability, and reliability, but also comes with challenges.
- Microservices involve separate systems functioning independently but collectively, providing resilience such that failure in one service does not affect others.
- Microservice architecture involves organizing digital products into independent components, contrasting with traditional monolithic systems.
- Key benefits of microservices include adaptability, speed of change, and efficient development of digital products.
- Challenges of microservices implementation include complex deployment, increased system complexity, testing difficulties, and data management issues.
- Security risks, organizational challenges, and common mistakes like premature migration and improper service boundaries are also highlighted.
- Microservices may not be suitable for all projects, especially those not requiring scaling or lacking mature DevOps processes.
- Best practices for overcoming microservices challenges include thoughtful design patterns, event-driven architecture, and gradual migration strategies.
- Real-world use cases like the SCAND project demonstrate successful transitions to microservice architectures for improved scalability and flexibility.
- Ultimately, the decision to adopt microservices should align with project needs, growth objectives, and team capabilities to ensure successful implementation.
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11 Likes
Beyondkey
2w
274
Image Credit: Beyondkey
Understanding OCR vs ICR for Your Business
- The article discusses the differences between OCR (optical character recognition) and ICR (intelligent character recognition) for businesses transitioning from paper to digital records.
- OCR reads printed text from scanned documents, while ICR can also recognize handwriting, making it suitable for handwritten forms, old records, or signatures.
- OCR is efficient for clear printed documents, while ICR is more complex and useful for handling handwritten notes or mixed text documents.
- Combining OCR and ICR can be beneficial for businesses dealing with both printed and handwritten content, improving accuracy and efficiency.
- Beyond Key offers consulting services to help businesses determine the right mix of OCR and ICR based on their document requirements.
- Using OCR and ICR together enhances data digitization, speeds up processing, improves accuracy, and simplifies compliance and data analysis.
- The article emphasizes that leveraging both OCR and ICR tools can optimize document management processes and enable businesses to handle various document types effectively.
- Beyond Key supports businesses in implementing OCR and ICR solutions to streamline document processing and improve operational efficiency.
- The future outlook suggests that businesses using both OCR and ICR will be better equipped to handle diverse document formats and data efficiently.
- By understanding the capabilities of OCR and ICR and utilizing them appropriately, businesses can enhance productivity and make informed decisions about document management.
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16 Likes
Tech Radar
2w
161
Image Credit: Tech Radar
Apple could soon let iPhone owners use alternative voice assistants to Siri, but you can call up Gemini or ChatGPT right now with this simple hack
- Apple is working on adding the ability to use alternative voice assistants, including AI chatbots like ChatGPT and Gemini, instead of Siri on iPhone for the first time to comply with expected European Union regulations.
- Even though Apple is enhancing Siri's conversational abilities, there might be an option to use third-party voice assistants to replace Siri on iPhones, specifically for those sold in the EU.
- Currently, users can already access ChatGPT and Gemini via their apps, and there's a hack to call up the voice mode of these AI chatbots using the Action Button for quick access.
- To set up the shortcut for using ChatGPT or Gemini, users can customize the Action Button in Settings, allowing them to easily interact with these AI chatbots through voice commands.
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9 Likes
TechBullion
2w
426
Image Credit: TechBullion
Tokenizing Talent: How MANTRA and WIN Are Turning Football Transfers Into Onchain Assets
- MANTRA and WIN Investments have collaborated to tokenize real-world sports assets, focusing on football player transfers.
- WIN Investments issues utility tokens and digital securities linked to assets like player rights and club entitlements, utilizing the FIFA Solidarity Mechanism.
- WIN has $7.4 million in assets under management from 130 player transfers, aiming to surpass $20 million by 2025, with 16 club partnerships.
- WIN gains access to MANTRA's infrastructure for asset tokenization, with plans to introduce transfer tokens within the MANTRA ecosystem by Q4 2025.
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25 Likes
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Tech Radar
2w
253
Image Credit: Tech Radar
Valve deckard VR headset described as ‘quite amazing’ but there’s still no word on its launch
- Lynx founder described Valve Deckard as ‘quite amazing’
- Valve has been quietly working on its next headset, with leaks suggesting it as an impressive rival to Quest 3
- Valve has been sharing design details with suppliers, hinting at a potential upcoming launch of the Deckard VR headset
- Speculated features of the Valve Deckard include 2K LCD panels, Snapdragon 8 Gen 3 chipset, and a price tag of $1,200
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15 Likes
Sdtimes
2w
422
Image Credit: Sdtimes
What you should care about from KubeCon London 2025
- At the EU KubeCon conference in London, key themes included multi-cluster management, AI workloads, and reducing Kubernetes costs on the cloud.
- Vendors emphasized the growing importance of multi-cluster management tools to address the challenges of managing multiple Kubernetes clusters efficiently.
- Companies like SUSE, Mirantis, and Huawei showcased solutions for multi-cluster management, enabling unified dashboard visibility and scalability.
- AWS introduced Amazon EKS Hybrid Nodes to unify Kubernetes management across different environments, including on-premises infrastructure.
- AI workloads were a prominent focus, with tools like Anthropic's Model Context Protocol and Solo.io's MCP Gateway streamlining interaction between AI agents and tools.
- Huawei, Red Hat, and VMware presented solutions for managing AI workloads, optimizing performance, and ensuring security and compliance.
- Zesty and Amazon EKS Auto Mode offered cost-effective solutions for running Kubernetes on the cloud, optimizing resource allocation and reducing unnecessary capacity.
- LoftLabs introduced virtual clusters for efficient resource management, while Cloud Native Buildpacks enhanced security by transforming application source code into container images.
- Dash0, an observability company, emphasized AI-driven approaches to streamline observability tasks, providing cost transparency and efficient data triaging.
- Cycloid showcased a Kubernetes sustainable platform engineering solution focusing on digital sovereignty, sustainability, and cost reduction through centralized cloud cost tracking.
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25 Likes
CSS-Tricks
2w
414
Image Credit: CSS-Tricks
A Reader’s Question on Nested Lists
- The article addresses a reader's question on styling nested lists using CSS counters.
- The reader seeks help with a routine numbering sequence across different levels in lists, like legal documents.
- The article demonstrates solutions for creating nested lists with different markers at each level.
- One approach involves changing list-style-type for each level using CSS.
- A more efficient method uses CSS nesting to simplify styling for nested lists.
- For legal documents requiring specific markers like (A), (ii), custom counter styles using @counter-style at rule are recommended.
- The @counter-style is used to define custom markers such as decimals without ending dots or alphabetic markers enclosed in parentheses.
- The type attribute in HTML lists can ensure correct numbering even without CSS support for legal or technical documents.
- Using type attribute, we can assign specific numbering like decimal, lowercase/uppercase alphabetic, and Roman numbers for each level of the list.
- The article explores different methods of styling nested lists and provides insights into maintaining numbering consistency.
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24 Likes
Dev
2w
365
Image Credit: Dev
💰 Working With the Right Dev Partner Saved This Brand $3.2M—Here’s How You Can Too
- Choosing the right software development partner can save enterprises millions of dollars by avoiding costly rebuilds, optimizing development cycles, and delivering what the business needs.
- A leading retail brand saved $3.2 million by partnering with a custom enterprise software development team that provided clear goal alignment, agile delivery, modular architecture, QA testing, and ongoing post-launch support.
- Common pitfalls in custom software development include misaligned visions, legacy integration struggles, rigid processes, poor quality assurance, and lack of ongoing support.
- Key pillars of success with the right partner include strategic partnership, modern architectures, agile delivery, quality assurance, and long-term support, leading to faster time to market, reduced risk, better user adoption, and scalable solutions.
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22 Likes
Medium
2w
374
Image Credit: Medium
The Future of Development with OpenAI Codex: A Deep Dive
- OpenAI Codex is a powerful tool that can understand and generate code in multiple programming languages.
- It goes beyond autocomplete and can produce functional code based on natural language prompts.
- Codex represents a human-AI collaboration model where the AI focuses on execution and optimization.
- The future with Codex involves redefining programming tasks, addressing challenges of AI output responsibility, and evolving skills for product managers.
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22 Likes
Tech Radar
2w
481
Image Credit: Tech Radar
‘This is a crisis’: New Apple report claims we’ll get no Siri upgrades at WWDC 2025 due to AI turmoil
- Apple won't showcase any AI Siri improvements at WWDC 2025 as per a new report.
- Bloomberg reveals internal data indicating that Apple lags years behind its competition in AI technology.
- Apple is developing LLM Siri internally to enhance the voice assistant's performance and conversational abilities.
- Despite the delay in Siri upgrades, Apple is focusing on new Apple Intelligence features, including Battery Intelligence, powered by AI.
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25 Likes
Robotsblog
2w
182
Image Credit: Robotsblog
BerryBot: STEM Education for Young Engineers with a wooden robot
- Robotistan introduces BerryBot, a new STEM robot aimed at helping children develop coding and robotics skills.
- BerryBot is a versatile learning platform with a wooden body that kids can paint and customize to foster creativity and problem-solving skills.
- Key features include customizable wooden body, versatile coding options, and multi-mode movement capabilities for a hands-on educational experience.
- BerryBot combines coding skills with creativity, offering a fun and educational tool for young engineers and aiming to inspire the next generation of innovators in STEM education.
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11 Likes
Webkul
2w
335
Image Credit: Webkul
Inside TDX Bengaluru 2025: Highlights & Experience
- Salesforce TDX (TrailblazerDX) Bengaluru 2025 spanned two days and brought together developers, architects, partners, and enthusiasts for a celebration of the Salesforce ecosystem.
- A major highlight was Agentforce, Salesforce's AI-powered support assistant, showcased at the event through hands-on sessions, expert talks, and a Hackathon demonstrating AI solutions for real-world problems.
- Networking opportunities included interactions with MVPs, Certified Technical Architects, and fellow Trailblazers, providing valuable insights and energy.
- Key developments featured at the event included real-time enhancements to Salesforce's Data Cloud, a simplified ISV path for partners, advancements in Automotive and Automation Cloud, and opportunities for Health, Commerce, and Marketing Cloud integrations.
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20 Likes
Medium
2w
4.2k
Image Credit: Medium
Avoiding Software Engineering Chaos
- The Earthly team identified chaos as the main issue in modern software engineering rather than speed.
- Engineering teams often face fragmentation due to autonomy in selecting tools and defining standards.
- Standardizing pipelines and addressing architectural rot are crucial in overcoming the chaos in software development.
- Proposed architectural solution involves adaptability through federated service nodes, bindable components, structured messaging, and a shared context repository.
- Modular, federated systems promote coordination through standardized interfaces while respecting team autonomy in tool choices.
- Structured messaging and context repository are essential components in ensuring consistency, security, and traceability in the system.
- Internal developer platforms should focus on building distributed architectures that encourage autonomy and alignment rather than enforcing uniformity.
- Embracing modularity and investing in structured communication can help organizations maintain clarity, coordination, and conceptual integrity in software development.
- The goal is not to eliminate chaos entirely but to prevent it from spreading by adopting a coherent architectural approach.
- Building a future with clarity, coordination, and conceptual integrity requires more than just tools—it necessitates a well-designed architecture.
- The time is ripe for organizations to implement these architectural principles to combat chaos in software engineering.
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27 Likes
Medium
2w
2.2k
Image Credit: Medium
3 Signs Your AI Will Survive the Real World
- AI failures typically start with small drifts and subtle signals, not error messages.
- AI built to survive is explainable, auditable, and human-readable, able to withstand challenges and be understood by various stakeholders.
- For AI to be truly resilient, it needs to be tested at its limits and prepared for high-stakes decisions, not just for performance but for survival.
- Effective governance is essential for AI systems to thrive in the real world, ensuring continuous monitoring, checks for bias, fairness, and performance decay to prevent dangerous outcomes.
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5 Likes
Insider
2w
2.1k
Image Credit: Insider
Google chief scientist predicts AI could perform at the level of a junior coder in a year
- Jeff Dean, Google's chief scientist, believes AI could match the skills of a junior software engineer in the next year or so.
- AI tools are improving in coding, leading to predictions that AI could reach the level of entry-level engineers.
- However, AI still needs to learn beyond basic programming, such as debugging and test running, to perform at a human level.
- According to Dean, AI will likely rely on learning from tools, experienced engineers, and documentation to acquire these skills.
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25 Likes
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