#edge computing and iot

[blockverse-infotech]

Navigating Through the Depths of Embedded Software: Testing and Verification Strategies

In the complex realm of technology, Embedded Systems serve as the quiet foundation, driving a variety of devices from intelligent gadgets to automotive systems. At the core of these systems lies the embedded software, the unseen power coordinating smooth operation. However, ensuring the dependability and strength of this software is not a simple task. Step into the domain of Embedded Systems Testing and Verification, where BlockVerse Infotech Solutions emerges as a beacon of expertise and ingenuity.

In a time where flawless performance is a must, the importance of thorough testing and verification strategies cannot be overstressed. BlockVerse Infotech Solutions acknowledges this necessity and offers a comprehensive method tailored to tackle the distinctive challenges presented by embedded software.

Initially, understanding the complexities of the embedded environment holds great importance. BlockVerse utilizes a combination of white-box and black-box testing methods to explore deep within the software’s internal operations while replicating real-world situations. This detailed approach ensures not only functional accuracy but also deals with performance, reliability, and security concerns.

Moreover, Blockverse utilizes cutting-edge tools and techniques to simplify the testing process. From automated test frameworks to model-based testing, each tool is utilized with precision to optimize efficiency without compromising quality. By utilizing virtual platforms and emulation, BlockVerse enables thorough testing across various hardware configurations, preventing compatibility issues proactively.

However, testing alone does not guarantee the integrity of embedded software. Verification, the process of confirming that the software meets predefined requirements, is equally crucial. BlockVerse adopts a varied verification approach covering code reviews, static analysis, and formal methods. By scrutinizing every line of code and adhering to industry standards, BlockVerse guarantees compliance with strict quality benchmarks.

To wrap up, embedded software plays a crucial role in modern technology, and its reliability is crucial. With BlockVerse Infotech Solutions leading the way, navigating the intricacies of Embedded Systems Testing and Verification becomes more than just a challenge; it transforms into an opportunity to enhance performance, improve reliability, and propel innovation forward.

[bliiot-jerry]

ARM-Based Edge Gateways + AWS IoT Greengrass for Smart City Solutions Empower City with Real-Time Intelligence at the Edge

Case Details

Why Choose AWS IoT Greengrass + ARM Edge Gateways?

Cost-Effective & Energy-Efficient ARM-based hardware (e.g., ARMxy, Raspberry Pi, NVIDIA Jetson) delivers ultra-low power consumption, ideal for large-scale deployments in streetlights, sensors, and cameras, slashing infrastructure and operational costs.

Millisecond-Level Real-Time Response Process data locally at the edge—traffic flow analysis, fire/smoke detection, or emergency alerts—without cloud latency. Enable split-second decision-making for critical scenarios.

Resilient Offline Operation Maintain functionality during network outages. Greengrass executes predefined logic (e.g., traffic signal control, environmental alarms) and syncs data to the cloud once connectivity resumes.

Seamless Cloud-Edge Synergy Filter and preprocess data locally, uploading only high-value insights to AWS (e.g., IoT Core, S3). Reduce bandwidth costs while enabling global analytics and AI model refinement.

Key Smart City Applications

1. Intelligent Traffic Management: Zero Tolerance for Congestion & Accidents

Adaptive Traffic Signals ARM gateways analyze real-time camera feeds to dynamically adjust traffic light cycles, increasing rush-hour throughput by 30%+.

Accident Detection in Seconds Deploy lightweight AI models (YOLO, TensorFlow Lite) at the edge to identify accidents within 5 seconds, triggering alerts on roadside displays for faster emergency response.

2. Environmental Governance: From Monitoring to Action

Real-Time Pollution Mapping Thousands of low-power sensors aggregate data via ARM gateways, generating live heatmaps of air/noise pollution to pinpoint sources (e.g., construction sites, factories).

Smart Waste Optimization Fill-level sensors in trash bins trigger edge-based route optimization for garbage trucks, cutting unnecessary trips by 30% and reducing carbon emissions.

3. Public Safety: Proactive Risk Mitigation

Fire & Flood Early Warning Edge AI analyzes camera feeds and environmental sensors to detect smoke, fire, or abnormal water levels, triggering instant alerts and emergency protocols.

Predictive Infrastructure Maintenance Vibration sensors detect manhole cover displacement, automatically generating repair orders to prevent accidents.

Proven Success Stories

Singapore’s "Smart Streetlights" Initiative 100,000 ARM-based streetlights with Greengrass reduce energy use by 40% and municipal costs by 25% through adaptive lighting and environmental monitoring.

Dubai Traffic Hub Optimization Real-time analysis of 2,000+ cameras by edge gateways dynamically adjusts lanes and public transit schedules, cutting peak-hour congestion by 22%.

Shanghai Industrial Zone Monitoring 500 edge nodes filter 95% of redundant data, lowering cloud storage costs by 70% and accelerating pollution response to under 2 minutes.

Core Advantages at a Glance

Pain PointsSolutionCustomer ValueHigh latency delays decisionsEdge processing + local AI inference50–90% faster incident responseCostly mass data transfersEdge filtering, only critical data to cloud60%+ lower bandwidth/storage costsFragmented device managementGreengrass unified OTA updates & deployment1 operator manages 1,000+ edge nodesUnstable network reliabilityOffline autonomy + data recovery99.99% system availability

Future Scalability: From Local to City-Wide Intelligence

Rapid Deployment Standardized ARM hardware and modular Greengrass components cut deployment time from weeks to hours.

Self-Evolving AI Edge data trains cloud-based models, with updated algorithms pushed back to devices—smarter with every iteration.

Build a Smarter City—No Cloud Wait Required! With AWS IoT Greengrass and ARM Edge Gateways, transform urban infrastructure into an agile, cost-efficient, and self-improving network. From traffic to public safety, empower decision-makers to see clearer, act faster, and respond smarter.

[goodoldbandit]

Edge Analytics & Streaming Data Processing: Harnessing the Power of Real-Time IoT Data at the Network Edge.

Sanjay Kumar Mohindroo Sanjay Kumar Mohindroo. stayingalive.in Discover how real-time IoT data processed at the network edge fuels rapid decisions and inspires innovations in technology. #EdgeAnalytics #StreamingData This post explains how real-time data from IoT devices is processed at the network edge. It shows how this method boosts rapid decision-making while reducing delays. The content…

[nrgnews-it]

Sovranità Digitale Europea: Tra Dipendenze Cloud e Spinta Startup, la Via è l'Intelligenza Edge Efficiente

[bitstream24]

The Industrial Internet of Things (IIoT): A Comprehensive Technical Report

Explore a comprehensive technical report on the Industrial Internet of Things (IIoT), covering key technologies, real-world applications across industries, benefits, challenges, and future trends.

[tudipblog]

IoT in Action: Transforming Industries with Intelligent Connectivity

The Power of Connectivity

The Internet of Things (IoT) has become a cornerstone of innovation, as it reimagines industries and redefines the way business is conducted. In bridging the physical and digital worlds, IoT enables seamless connectivity, smarter decision-making, and unprecedented efficiency. Today, in the competitive landscape, intelligent connectivity is no longer just a technology advancement; for businesses wanting to be relevant and continue to thrive, it is now a strategic imperative.

IoT is not simply about connecting devices; it’s about creating ecosystems that work collaboratively to drive value. With industries relying heavily on real-time data and actionable insights, IoT-powered connectivity has become the backbone of operational excellence and growth. Let’s explore how this transformative technology is revolutionizing key sectors, with a focus on how businesses can leverage it effectively.

Applications of IoT in Key Industries

1.Smart Manufacturing: Efficiency Through Connectivity

Manufacturing has embraced IoT as a tool to streamline operations and boost productivity. By embedding sensors in machinery and integrating real-time monitoring systems, manufacturers can:

Predict and Prevent Downtime: IoT-enabled predictive maintenance reduces unplanned outages, saving time and money.

Optimize Resource Allocation: Smart systems track inventory, raw materials, and energy consumption, ensuring optimal usage.

Enhance Quality Control: Real-time data from production lines helps identify defects early, maintaining high-quality standards.

Example: A global automotive manufacturer integrated IoT sensors into its assembly lines, reducing equipment downtime by 25% and improving production efficiency by 30%. The ability to monitor machinery health in real time transformed their operations, delivering significant cost savings.

2.Healthcare: Improve Patient Outcomes

In healthcare, IoT has been a game-changer in enabling connected medical devices and systems that enhance patient care and operational efficiency. The main applications include:

Remote Patient Monitoring: Devices track vital signs in real time, allowing healthcare providers to offer timely interventions.

Smart Hospital Systems: IoT-enabled equipment and sensors optimize resource utilization, from patient beds to medical supplies.

Data-Driven Decisions: IoT integrates patient data across systems, providing actionable insights for personalized treatment plans.

Example: A major hospital has put into operation IoT-enabled wearables for chronic disease management. This solution reduced the number of readmissions to hospitals by 20% and empowered patients to take an active role in their health.

3.Retail: Revolutionizing Customer Experiences

IoT is revolutionizing retail through increased customer interaction and streamlined operations. Connected devices and smart analytics allow retailers to:

Personalize Shopping Experiences: IoT systems track customer preferences, offering tailored recommendations in real time.

Improve Inventory Management: Smart shelves and sensors keep stock levels optimal, reducing wastage and improving availability.

Enable Smooth Transactions: IoT-driven payment systems make checkout easier and much faster, increasing customers’ convenience

Example: A retail chain leveraged IoT to integrate smart shelves that automatically update inventory data. This reduced out-of-stock situations by 40%, improving customer satisfaction and driving higher sales.

Role of Intelligent Connectivity in Business Transformation

Intelligent connectivity lies at the heart of IoT’s transformative potential. By connecting devices, systems, and processes, businesses can:

Accelerate Decision-Making: Real-time data sharing enables faster, more informed decisions, giving companies a competitive edge.

It increases collaboration by allowing smooth communication between departments and teams, making the entire system more efficient.

Adapt to Market Dynamics: IoT enables companies to respond quickly to changes in demand, supply chain disruptions, or operational challenges.

Intelligent connectivity is not just about technology; it’s about creating value by aligning IoT solutions with business objectives. This strategic approach guarantees that IoT investments will deliver measurable outcomes, from cost savings to improved customer loyalty.

How Tudip Technologies Powers Intelligent Connectivity

Tudip Technologies specializes in designing and implementing IoT solutions that drive meaningful transformation for businesses. With a focus on innovation and collaboration, Tudip ensures that its clients achieve operational excellence through intelligent connectivity.

Tailored Solution for Every Business Industry

Tudip understands that no two businesses are alike. By customizing IoT strategies to address specific challenges, Tudip helps clients unlock the full potential of connectivity. Examples include:

Smart Supply Chains: Implementing IoT systems that provide real-time visibility into inventory and logistics, reducing delays and improving efficiency.

Energy Management: Developing IoT frameworks to monitor and optimize energy usage, driving sustainability and cost savings.

Healthcare Innovations: Designing networked medical devices that allow remote patient monitoring and data integration without a hitch.

The Future of Connected Systems

The demand for intelligent connectivity will keep increasing as the industries continue to evolve. Emerging trends in IoT include edge computing, 5G networks, and AI-powered analytics, which promise to redefine possibilities for connected ecosystems.

Businesses that embrace these advancements stand to gain:

Greater Resilience: IoT enables adaptive systems that can withstand market fluctuations and operational challenges.

Enhanced Innovation: Connected technologies open doors to new business models, revenue streams, and customer experiences.

Sustainable Growth: IoT optimizes resources and processes, contributing to long-term environmental and economic sustainability.

The future belongs to those who see connectivity not just as a technological tool but as a strategic enabler of transformation. The right partner will help businesses transform IoT from a concept into a competitive advantage.

Conclusion: Embracing Intelligent Connectivity with Tudip

IoT is not just changing the way businesses operate—it’s redefining what’s possible. From manufacturing and healthcare to retail and beyond, intelligent connectivity is driving innovation, efficiency, and growth across industries.

Tudip Technologies is at the forefront of this transformation, offering customized IoT solutions that deliver real results. By prioritizing collaboration, adaptability, and measurable outcomes, Tudip ensures that its clients stay ahead in an increasingly connected world.

Now is the time to embrace the power of IoT and unlock its potential for your business. With Tudip as your partner, the journey to intelligent connectivity is not just achievable—it’s inevitable.

Click the link below to learn more about the blog IoT in Action: Transforming Industries with Intelligent Connectivity https://tudip.com/blog-post/iot-in-action-transforming-industries-with-intelligent-connectivity/

[findyiot]

Raspberry Pi and IoT modules…tasty tech

[techwiki24]

10 Cutting-Edge Technology Trends Shaping 2025

In today’s rapidly evolving digital landscape, staying ahead means embracing transformative innovations that redefine every aspect of our lives. As we approach 2025, industries across the board are being revolutionized by a wave of advancements. The future is being molded by 10 Cutting-Edge Technology that not only streamline processes but also inspire creativity, enhance connectivity, and drive…

[insightfultrends]

what’s trending on the internet as of February 15, 2025, based on the latest updates and reports

Here’s a summary of what’s trending on the internet as of February 15, 2025, based on the latest updates and reports: 1. Elon Musk’s 13th Child Sparks Global Interest Elon Musk is back in the headlines as Ashley St. Clair claims to have given birth to his 13th child five months ago. The news has sparked widespread curiosity and debate, with people speculating about the implications for Musk’s…

[bliiot-jerry]

ARM-Based Industrial PCs + Azure IoT Edge for Smart Industrial Automation

Case Details

I. Why ARM Industrial PCs + Azure IoT Edge?

1. Cost-Effective, High-Reliability Edge Intelligence

Energy Efficiency Revolution: The TDP (thermal design power) of ARM processors (such as the Cortex-A series) is usually less than 15W, which can significantly reduce cooling costs in harsh industrial environments, support 24/7 continuous operation, and is suitable for deployment in scenarios with limited power resources (such as remote oil fields and distributed production lines).

Real-Time Control: ARM industrial computers equipped with real-time operating systems (such as RT-Linux or FreeRTOS) can provide microsecond response accuracy to meet high real-time requirements such as PLC control and motion control. Hardware-level watchdog and redundant power supply design further ensure system stability.

Industrial Durability: Wide-temperature operation (-40°C to 85°C), anti-vibration, and dustproof design ensure 24/7 uninterrupted operation.

2. Cloud-Powered Edge Computing

Edge AI Deployment: Run AI models directly on industrial PCs (e.g., defect detection, equipment lifespan prediction), achieving 10x faster response and 90% lower bandwidth costs.

Offline Autonomy: Local rule engines execute critical operations (e.g., emergency shutdowns, quality sorting) during network outages, preventing production line downtime.

Seamless Cloud Integration: Manage millions of devices via Azure IoT Hub, enable bidirectional data synchronization, and support remote diagnostics and OTA updates.

II. Industrial Use Cases: From Automation to Intelligence

Case 1: Predictive Maintenance for Smart Production Lines

Pain Point: Traditional PLCs cannot analyze equipment vibration or temperature trends, leading to unplanned downtime costing thousands per minute.

Solution:

ARM industrial PCs collect sensor data (vibration, current, temperature) in real time, running edge-based FFT spectrum analysis and LSTM models to predict bearing wear risks 7 days in advance.

Azure IoT Edge syncs alerts with cloud digital twins, auto-generating maintenance orders to reduce unplanned downtime by 30%.

Case 2: Autonomous Visual Inspection

Pain Point: Manual inspections are inefficient (<200 units/hour) with over 5% defect leakage.

Solution:

ARM industrial PCs with industrial cameras deploy lightweight YOLOv5 models for millisecond-level detection of surface scratches or assembly defects.

Results are uploaded to Azure AI for continuous model optimization (99.9% accuracy), cutting labor costs by 70%.

Case 3: Energy Management Optimization

Pain Point: Dispersed energy data hinders real-time optimization.

Solution:

ARM industrial PCs aggregate data from meters, HVAC, and compressors, computing real-time KPIs (e.g., energy consumption per unit output).

Azure Stream Analytics dynamically adjusts equipment operation modes, reducing annual energy consumption by 15–20%.

III. Tangible Business Value

Cost Savings: 40% lower hardware costs, 60% reduced energy consumption.

Efficiency Gains: Fault response time shortened from hours to minutes, 25% improvement in OEE (Overall Equipment Effectiveness).

Data-Driven Insights: Capture full lifecycle equipment data to optimize processes and supply chain decisions.

IV. Global Success Stories

Automotive: A German automaker deployed 200+ ARM industrial PCs for real-time health monitoring of welding robots, cutting annual maintenance costs by $1.2M.

Food Packaging: A Southeast Asian dairy producer reduced product defects from 0.8% to 0.05% using edge visual inspection, avoiding $5M+ in annual recall losses.

Smart Water Management: A North American municipal water system achieved 98% accuracy in pipeline leak detection, saving 4M tons of water yearly.

V. Future Trends: The Edge Intelligence Frontier

5G + TSN Integration: ARM industrial PCs with 5G modules enable microsecond-level network synchronization for flexible manufacturing.

AI Accelerators: NPU/GPU-powered edge devices unlock large-model inference (e.g., generative AI for process optimization).

Sustainable Manufacturing: Edge-based carbon footprint tracking and optimization help meet ESG goals.

Conclusion: The Gold-Standard Combo for Industrial Intelligence

ARM industrial PCs and Azure IoT Edge redefine industrial operations—lower costs, faster decisions, unmatched resilience. Whether in discrete manufacturing or process industries, this synergy builds a closed loop of edge sensing, cloud optimization, and global intelligence, positioning enterprises at the forefront of smart manufacturing.

Act Now: Start with single-node deployments and scale to plant-wide intelligence—transform every machine into a data-driven decision-maker!

[goodoldbandit]

The Future is Now: 5G and Next-Generation Connectivity Powering Smart Innovation.

Sanjay Kumar Mohindroo Sanjay Kumar Mohindroo. skm.stayingalive.in Explore how 5G networks are transforming IoT, smart cities, autonomous vehicles, and AR/VR experiences in this inspiring, in-depth guide that ignites conversation and fuels curiosity. Embracing a New Connectivity Era Igniting Curiosity and Inspiring Change The future is bright with 5G networks that spark new ideas and build…

[basheeransari]

[nrgnews-it]

Nexus: The Dawn of IoT Consciousness – The Revolution Illuminating Big Data Chaos

[tudipblog]

Beyond the Buzz: How IoT Redefines Business Operations

Moving from Hype to Reality

IoT has moved from being a futuristic idea to a practical solution that businesses use daily to improve operations and achieve sustainable growth. Though much of the discussion around IoT is about its potential, the real value that it presents is in how companies can use the technology to solve real-world problems.

Today, IoT is no longer a buzzword; it’s a necessity for any business looking to remain competitive and agile in a dynamic global environment. With its power to integrate devices, data, and processes, IoT helps businesses achieve efficiencies, improve customer satisfaction, and create new revenue streams. In this blog post, we explore how IoT is changing business operations across industries and what companies need to do to maximize its potential.

How Tudip Technologies Redefines IoT Solutions

Tudip Technologies empowers businesses with IoT solutions that tackle complex operational challenges and drive measurable outcomes.

Our Specialized Approach:

Edge Computing Integration: Enabling faster data processing closer to devices for real-time responsiveness.

IoT Ecosystem Design: Creating scalable ecosystems that adapt to changing business needs.

Sustainability-Focused Solutions: Tailoring IoT frameworks that align with environmental goals.

Example: Tudip partnered with a logistics provider to implement IoT-powered edge analytics, reducing data processing times by 60% and improving delivery accuracy across global operations.

Key Takeaways: Turning IoT Into Operational Strength

Invest in Scalable Solutions: Ensure your IoT systems can grow alongside your business needs.

Prioritize Security: Robust cybersecurity measures arToday, IoT is no longer a buzzword; it’s a necessity for any business looking to remain competitive and agile in a dynamic global environment. With its power to integrate devices, data, and processes, IoT helps businesses achieve efficiencies, improve customer satisfaction, and create new revenue streams. In this blog post, we explore how IoT is changing business operations across industries and what companies need to do to maximize its potential.

Redefining Operational Efficiency with IoT

1. Predictive Analytics: Smarter Urban Operations with IoT

IoT is revolutionizing energy management by integrating renewable energy sources into business operations. Smart systems analyze usage patterns and adjust power drawn from solar, wind, or traditional grids in real time.

Optimized Renewable Usage: IoT ensures renewable energy is used efficiently by monitoring supply-demand gaps.

Grid Stability:  Balances energy loads to prevent outages during peak hours.

Sustainability Goals: Helps businesses achieve net-zero emissions by prioritizing clean energy consumption.

Example: A technology campus integrated IoT in optimizing its solar energy consumption and reduced dependence on traditional grids by 40%, with a significant reduction in operational costs

2. Energy Management: Advancing Renewable Solutions

Predictive analytics powered by IoT is transforming urban infrastructure. Cities can now monitor critical assets like bridges, roads, and utilities in real time, ensuring timely maintenance and preventing costly failures.

Public Safety: Early detection of infrastructure stress minimizes risks to citizens.

Cost Efficiency: Avoiding large-scale repairs reduces budget overruns for municipalities.

Sustainability: Proactive maintenance extends the lifespan of assets, reducing waste.

3. Automation Excellence: Better Disaster Response Logistics

IoT-driven automation is transforming how disaster response occurs—getting aid to where it is needed, faster and more efficiently.

Real-Time Inventory Management: Monitors relief inventory and ensures its proper distribution to areas of greatest need.

Smart Transportation: Optimizes routes for rescue and supply vehicles during crises.

Collaboration Across Agencies: IoT systems enable seamless communication between response teams.

Example:In a recent hurricane, one global aid organization leveraged IoT-connected drones to survey damage and automate the delivery of supplies, resulting in a 50% faster response time.

Overcoming Common IoT Challenges

1. Integration of IoT with Existing Systems

One of the biggest hurdles businesses face is integrating IoT solutions with legacy systems. Compatibility issues can hinder seamless data exchange and functionality. Solution: Use a flexible IoT platform with built-in interoperability; make sure it provides APIs for smooth integration. Careful planning and phased implementation may also reduce disruptions to a minimum.

2. Data Security and Privacy

IoT ecosystems are all about continuous data gathering and transmission, which increases exposure to cyber threats. The security of sensitive information is the foundation of trust with stakeholders.

Solution: Implement robust encryption protocols, regularly update security measures, and educate employees on cybersecurity best practices.

3. Adapting to Rapid Technological Changes

The rapid rate of innovation in IoT can make it challenging for businesses to adapt to new developments and keep their systems current. Solution: Collaborate with technology providers that offer scalable solutions and ongoing support to adapt to emerging trends without overhauling existing systems.

How IoT Drives Operational Transformation

1. Enhancing Decision-Making with Real-Time Insights

IoT provides companies with real-time data that enables informed decision-making. Whether it is revising supply chain strategies or optimizing production schedules, IoT ensures that companies can act quickly and confidently.

Dynamic Adaptability: Businesses can change their strategies according to up-to-date information and stay responsive to market demand.

Improved Collaboration: IoT systems enable better communication across departments, enabling coordinated efforts.

2. Creating Value Through Customization

IoT’s ability to collect granular data allows businesses to tailor their offerings and services to meet specific customer needs. Personalization not only enhances user experience but also builds stronger customer relationships.

e non-negotiable in today’s interconnected world.

Focus on Outcomes: Use IoT to achieve specific goals, whether it’s reducing costs, enhancing customer satisfaction, or achieving sustainability targets.

Conclusion: Moving Beyond the Buzz

IoT has evolved into an indispensable solution, reshaping how businesses optimize operations and achieve sustainable growth. By addressing real-world challenges and delivering actionable insights, IoT enables companies to stay competitive and adaptive.

To fully realize the benefits of IoT, businesses must focus on integrating flexible solutions, safeguarding data, and aligning technology with strategic objectives. With the right approach, IoT becomes more than a technological innovation—it becomes a cornerstone of operational excellence and sustainable growth.

Click the link below to learn more about the blog Beyond the Buzz: How IoT Redefines Business Operations

https://tudip.com/blog-post/beyond-the-buzz-how-iot-redefines-business-operations/

[findyiot]

Raspberry Pi and IoT modules…tasty tech

Now, there is a downside to all this free, cheap and functional, it is not quite geared to the mass market. Mass market tools are exactly those shiny, brushed aluminum, boxes that plug and play. Even though MacOS is Unix there is a cultural disconnect. Linux has been humming along in back rooms since 1991 and has not dented mass culture. Even IBM quietly cherry picked the Red Hat for 34 billion dollars in 2019. Not a bad price for freeware with some tech support.

As IoT develops, the key role of edge computing will come into the frame. Scale demands these tiny computing devices extract much of the bulk from data streams. The principle of a massive mainframe data center is a fixture of sixties movies, not cutting edge connected devices. Agility beats bulk, so much of the data will be processed nearer to source to avoid transmission cost. That size and agility combination is the real secret sauce.