The Internet of Things (IoT) enables innovative products in areas such as insurance, drug optimization, facility management and energy efficiency. Supplemented by edge platforms, data processing is carried out directly on the devices, which enables faster analysis and reaction in real time.
The Internet of Things (IoT) enables innovative products in areas such as insurance, drug optimization, facility management and energy efficiency. Supplemented by edge platforms, data processing is carried out directly on the devices, which enables faster analysis and reaction in real time.
The central building blocks of an IoT and edge platform are device management, integration management, data management, apps and services, edge analytics, reporting and analytics as well as security.
The first step is the important make-or-buy decision when selecting an IoT and edge platform. Edge platforms such as AWS IoT Greengrass or Azure IoT Edge complement cloud solutions by performing calculations and analyses directly on devices or close to the data source. With synvert, you gain a partner with expertise in leading cloud- and edge-based tools specifically designed for complex IoT environments.
Processing a high volume of data from different devices in real time edge platforms – enable local processing of data directly at the source. This reduces latency times, relieves the burden on central cloud systems and optimizes decision-making in real time.
Data integration of different IoT data sources – the added value of an IoT solution is created by combining different data sources from different devices. Edge platforms take over the local pre-processing of the data and transfer it to central systems in a targeted and efficient manner.
Analysis of IoT data – edge analytics identifies patterns and anomalies directly on edge devices. This enables predictive maintenance, real-time monitoring or automatic responses, such as optimizing the customer experience through local sensor data analysis.
Security & Compliance – the security of IoT and edge applications requires robust mechanisms for device authentication and data encryption. Standards such as IEEE 2413–2019 and proven best practices help to secure distributed devices and edge nodes.
Optimization of bandwidth and network load – local processing on edge devices significantly reduces data traffic to the cloud. This saves bandwidth, reduces costs and ensures that only relevant and pre-filtered data is transferred to central systems.
Reliability and resilience – edge platforms ensure continuous data processing, even with limited network connectivity. Decentralized analyses and decision-making processes ensure that system functionality remains reliable and stable regardless of the cloud.
With our extensive experience in all leading cloud technologies, the use of diverse computing clusters and state-of-the-art analysis methods, synvert is the ideal partner for your next IoT and edge platform project. We support you in selecting the optimal technologies and work with you to design the required data infrastructure so that you can exploit the full potential of your data. Our goal is to help you generate real added value from your IoT applications. Rely on our expertise to successfully implement your IoT project.
Our team is on hand to analyze your IoT and edge use case in depth and work with you to define the desired outcomes of your project. Using edge platforms, we investigate what data can be processed directly on-site to ensure fast results and optimized system operations. We help you answer key questions and identify targeted solutions that integrate both cloud and edge components. We also support you in creating a proof-of-concept that assesses the feasibility of your idea and provides a tangible demonstration. This analysis process ensures that your IoT and edge initiative is built on a solid foundation and meets your specific requirements.
With our wealth of experience in cloud and edge architecture, we can help you manage the large volumes of data typically associated with IoT projects. Our team of experts will design a customized, hybrid architecture that optimally combines cloud resources with edge platforms. This ensures that data processing and analysis take place directly at the point of origin, while central cloud systems are used for further analysis and long-term storage. We place particular emphasis on scalability, security and performance in order to create real added value for your company.
Analyzing loT and edge data Would you like to graphically display or monitor heating and usage data for individual office spaces in real time? With edge platforms, such data can be processed and analyzed locally, enabling real-time responses. Are you interested in forecasts, such as the cleaning requirements of certain areas? Our experts use state-of-the-art tools and techniques such as machine learning and edge AI to provide you with both local and cloud-based analyses. Together, we can help you gain valuable insights and use your IoT data efficiently and in a targeted manner.
We have already written about Data Lakehouse technologies and compared the most prominent Data Lake Table Formats. All of them have thei...
Python has gained immense popularity in the data stack space, largely due to its rich ecosystem of libraries. Among these, Dataframe librari...
ArgoCD, a powerful GitOps tool, simplifies the continuous delivery and synchronization of applications on Kubernetes clusters. In this ...
In today’s fast-paced and ever-evolving business landscape, creativity stands as a pivotal factor that can set you apart from the competition....
You will shortly receive an email to activate your account.