Avassa: The Leading Industrial Edge Computing Platform
Powering Industrial IoT with secure and automated edge computing. Managing industrial IoT edge computing systems on-site can be complex and time-consuming. What if you could automate edge device management, including remote application deployment, OS updates, and real-time monitoring? Avassa provides a secure, full-stack industrial edge computing platform, ensuring both physical and cybersecurity protection—whether online or offline. Discover how Avassa simplifies industrial IoT operations.
Introducing Avassa for Industrial Edge.
Industrial edge is transforming
Software operations are moving from proprietary operating systems, to Linux and fully containerized future-proof IoT applications. Meanwhile, there is an increased customer demand for both online and offline non-stop operations as well as fast and remote support and maintenance. Security threats are continuously increasing. This requires new and high standards for delivering next-generation software-lead IoT solutions.
What Industrial IoT Application Management is and Why It Matters
Industrial IoT application management is the discipline of deploying, monitoring, and maintaining software across distributed industrial environment, from connected machinery to on-premise servers and edge devices. It ensures that the applications enabling Industrial IoT (IIoT) use cases are always up-to-date, secure, and performing optimally.
In modern industrial settings, the number of connected systems and sensors is growing fast. Managing these at scale requires more than traditional IT tools, it demands an industrial edge computing platform that provides centralized control while respecting local autonomy. This balance allows operations teams to deploy and operate IoT edge computing workloads efficiently, even in sites with limited connectivity.
Why Conventional Cloud and Legacy Tools Fail at the Edge
Traditional cloud or legacy management systems were not designed for the operational realities of industrial edge environments. An industrial IoT application platform purpose-built for the edge solves these limitations by enabling local execution, resilience, and autonomy across distributed sites.
Connectivity Intermittency
Industrial sites often have unreliable or air-gapped networks. Cloud-first systems assume persistent connectivity, causing failures or downtime during upstream connectivity loss.
OT/IT Fragmentation
Operations technology and information technology typically use different protocols, security models, and tools. Legacy solutions struggle to bridge this divide effectively.
Latency Requirements
Many industrial applications require near real-time responses. Round-tripping data to centralized clouds introduces unacceptable latency.
Heterogeneity and Scale
Edge environments are inherently diverse, with varied hardware and software versions. Legacy tools are not equipped to handle this scale or diversity.
Physical Security
Edge devices reside in uncontrolled physical spaces like factories or remote sites, demanding an additional layer of software integrity and tamper resistance.
The Critical Shift to Containerized Workloads and Edge Orchestration
Industrial environments are embracing containerization technologies like Docker to gain flexibility and control. Containers make it possible to package and deploy software consistently across a fleet of edge devices, regardless of their underlying infrastructure. This uniformity simplifies version management, improves reliability, and accelerates innovation.
At the heart of this transition is edge orchestration, the process of deploying, updating, and monitoring containerized workloads across the industrial edge. An advanced industrial edge computing platform automates these processes, enabling scalable and secure operations at every site.
This shift to containers and orchestration brings industrial IoT closer to modern IT practices. It extends CI/CD pipelines and DevOps workflows all the way to the factory floor, allowing development teams to push updates, test new features, and maintain applications consistently across the entire industrial edge.
Why Choose Avassa for Industrial Edge?
Avassa for Industrial Edge allows you to deploy, monitor, observe, and secure container applications at your IoT edge. Using the Avassa Edge Platform, you can test, and release features with unprecedented speed, no matter the number of locations. By utilizing standardized container technology, you will also benefit from the reuse of mainstream CI/CD and container tooling and competence, unlocking new levels of competitive advantage and scalability.
Full Application Lifecycle Management
Avassa for Industrial Edge allows you to manage your IIoT application’s full lifecycle, enabling you to adapt a true as-a-service delivery model. We support modern container applications as well as containerized Virtual Machines.
Gain Competitive Advantage and Boost Innovation
With Avassa, application deployments, versioning, monitoring, and troubleshooting are fully remote. Also, the solution provides full application autonomy, making application operations resilient to unstable connectivity. This allows you to roll out features and meet SLAs with excellence.
Seamlessly Integrated with Linux and Hardware Solutions
As an IoT solution vendor, you provide sophisticated hardware-software combinations. Avassa is seamlessly integrated with Linux and hardware combinations of your choice, enhancing the capabilities of your software solutions at the IoT edge, where it matters most.
Protecting data in-flight and at rest
Protecting data is a critical aspect of any IoT system. Avassa for Industrial Edge offers intrinsic security features to ensure that your sensitive data remains secure while being transmitted or stored. This is particularly relevant in IoT scenarios where data breaches can have severe implications and perimeter security is limited.
Minimized Risk Exposure
Edge sites are protected from physical and digital threats and can be locked down in case of attacks.
Robust and remote OS upgrades
We manage OS upgrades in the Avassa Edge Platform, including Debian/Ubuntu, Red Hat, Wind River or your Yocto image.
Distributed Edge Computing Expertise
Avassa excels in the realm of edge computing, offering a platform that’s ideal for scenarios where applications are deployed across various industrial hosts. We’re available 24/7 for expertise support.
Offer a more intelligent and agile IoT Edge Solution
Avassa for Industrial Edge is your enabler for easy management and operations of your IoT application.
A powerful industrial edge computing platform
Remote management and fully automated deployments
Onboard hosts, and deploy and update your IoT applications fully remote and at scale. Avassa for Industrial Edge also supports remote and automated OS upgrades.
Application resilience online and offline
Fault-tolerant clustering, independent of internet connectivity. Self-healing features for business-critical IoT applications in both online and offline scenarios.
Built for IIoT at scale
The Avassa platform is purpose-built for large-scale IoT Edge deployments in tens of thousands of locations.
Intrinsic security
Sensitive data, theft-prone hosts, or sniffed networks? The Avassa platform protects all your IoT application data and network traffic and provides secure call-home.
Minimized Risk Exposure
Site-local encryption keys and distributed secrets to reduce security risks and blast radius. Automatic key rotation secures your data and applications over time. Secrets are only distributed on a need-to-know basis.
Automated OS upgrades
Centrally manage OS upgrades for your edge hosts. Avassa provides rich integration towards leading OS distributions utilizing the OS built-in features like A/B upgrades.
Automatic discovery of IoT devices
The Avassa platform will discover external devices, such as sensors, cameras, or devices, and automatically place your IoT applications accordingly.
Edge native telemetry bus
Avassa provides an embedded telemetry bus running at each host. This simplifies sensor data collection and application development efforts to collect, filter, enrich, and aggregate your and your customers’ data.
Observability for your application and IoT system health
Get real-time insight into the health of your IoT applications and provide remote support to your customers.
Multi-tenancy and resource management
Split local system resources across different applications. This includes deep application isolation and the ability to let 3rd party teams share the IoT Edge infrastructure in a controlled manner.
Avassa for Industrial IoT: Real-World Use Cases & Case Study
In this case, we’ll examine a case description of the preceding challenges, key drivers, and accomplished benefits of implementing Avassa for Industrial IoT. We’ll also study an industrial machinery vendor that develops and sells high-precision industrial machines.
View Case
A Full-Stack Industrial IoT & Edge Infrastructure Solution
Avassa provides a complete solution for deploying, monitoring, observing, and securing your IIoT edge system. With an open bundle of your hardware, selected IIoT services, and RHEL for Edge (or a Linux management solution of your choice), we support your value stream by making the management and operations of your IIoT system simple, efficient, and automated.
Your IoT application
Avassa for Industrial Edge supports any containerized application. You can also utilize our deep multi-tenancy features to bring on second or third applications, as well as 3rd party applications with careful control over resource allocation.
IoT Services
Avassa for Industrial Edge supports all the major IoT services for data integration typically found in your IoT library. Common services include HiveMQ, COPA-DATA, Crosser or your choice of open source service. Recommended reading: The Power of a Purpose-built Industrial IoT Tooling Stack.
Avassa for IIoT
Avassa is your partner for next generation industrial edge solutions, with containers at heart. Learn more about our edge application operations and monitoring platform by visiting our Edge Platform page. Or take a self-guided tour of the platform in our Product Demo Tour.
OS management
Use Avassa for Industrial Edge along with a Linux distribution of your choice, such as Red Hat, Wind River, or Ubuntu. Take a closer look at the Red Hat Enterprise Linux for Edge integration in this recorded presentation, or access our solution brief. You can also use Avassa for Industrial Edge with Ubuntu or your own Yocto version.
Hardware of your choice
Avassa for Industrial Edge supports all hardware solutions for distributed Edge and IoT environments. Common hardware solutions include OnLogic, Lenovo, Advantech, ARM/X86 and Raspberry Pi.
Avassa for Industrial Edge: A Detailed Blueprint for Industrial Edge Computing
While traditional IoT platforms focus primarly on data forwarding and connectivity, a modern platform should enable application-centricity at the edge. You need local and autonomous applications and a modern software toolchain. This is what Avassa for Industrial Edge gives you:
On-Premises IoT System Capabilities: Secure, Scalable & Efficient
The Edge Enforcer manages each of your IoT systems at the edge. It ensures that your Industrial IoT applications run well, can be remotely upgraded, migrate applications between hosts if needed, and monitor your applications and underlying OS resources. It provides full autonomy for your IoT systems even when locations are disconnected. It also enables remote support for your operations team. The Edge Enforcer also ensures security for your system; data and application traffic are encrypted, and only trusted hosts are allowed. Industrial IoT systems are, in many cases, involved in edge data management; the Edge Enforcer has built-in support for edge local data collection, processing, and forwarding.
Centralized IoT System Capabilities for Industrial Automation
With Avassa, you can manage all your Edge IoT systems from one central point, the Avassa Control Tower. Your operations team can monitor thousands of systems, and your application teams can deploy new features with a single operation. Through the Control Tower, you will also be able to remotely perform OS upgrades. It also provides central security management functions: defining and distributing secrets to edge sites, inspecting audit logs, locking down jeopardized sites, etc. Built for scale, it gracefully manages unstable networks and disconnected states towards edge sites and performs with tens of thousands of sites.
With Avassa for Industrial IoT you will solve the hard problems for the Edge part of your IIoT solution
Edge Security Challenges & How Avassa Solves Them
Edge environments, especially in industrial IoT, face unique security threats—ranging from unauthorized access to data interception and system tampering. Avassa addresses these challenges head-on with built-in data encryption, real-time intrusion prevention, and secure remote lockdown capabilities.
Integrating Avassa with Existing Industrial IoT Infrastructure
Avassa integrates seamlessly with existing Industrial IoT infrastructure by offering broad compatibility with Linux-based systems, common industrial hardware platforms, and leading cloud services. Its lightweight footprint and container-native design make it easy to deploy alongside existing IoT solutions without disrupting operations, enabling manufacturers to modernize edge environments while preserving current investments.
See Avassa in Action: Book Your Free Industrial Edge Demo Today
In this short demo, we exemplify the following IoT blueprint: HiveMQ Edge runs as a container in the edge systems to manage sensor data through IIoT protocols like Modbus and MQTT. A containerized IoT application performs system local data management, including aggregation and forwarding to the cloud. Mosquitto is running in the cloud to receive MQTT data to perform central data analytics.
Book a live demoFrequently Asked Questions
What is industrial edge computing, and how does it benefit Industrial IoT (IIoT)?
Industrial edge computing brings data processing closer to the machines and sensors generating it. This enables faster decision-making, better data privacy, offline resilience, and reduced bandwidth use—making it ideal for IIoT environments that require real-time responsiveness and reliability.
How does Avassa ensure security for Industrial IoT applications and edge devices?
Avassa provides end-to-end security with encrypted communications, authenticated access, and edge secret management. Secrets are never bundled in applications and are only shared one-way from the central system to the edge, minimizing exposure risks.
Can Avassa integrate with my existing industrial IoT infrastructure and hardware?
Yes. Avassa works across a variety of physical and virtual environments and integrates with container registries, identity providers, and monitoring systems—enabling seamless adoption into existing IIoT setups.
What makes Avassa different from other industrial edge computing platforms?
Avassa focuses on application-centric lifecycle management with deep multi-tenancy, built-in event streaming, zero-touch provisioning, and autonomous edge operations. It provides fine-grained deployment control and monitoring at scale across thousands of sites.
How does Avassa handle remote management and OS upgrades for edge devices?
Avassa enables over-the-air (OTA) management by centrally controlling application deployments and upgrades. It ensures reliable rollouts with strategies like canary and rolling deployments, even when connectivity is intermittent.
What industries can benefit the most from Avassa’s Industrial Edge solutions?
Industries with distributed operations like manufacturing, logistics, energy, and retail benefit most—especially those needing real-time local processing, strong security, and centralized control over remote sites.
What is industrial IoT application management?
Industrial IoT application management is the process of deploying, monitoring, and maintaining software and workloads across distributed industrial edge environments for secure, reliable, and scalable operations.
Resources
OCI Is the Container Standard. Kubernetes Is Not.
Okay, let’s get right to it. Containers became an industry standard because of OCI, not because of Kubernetes. That distinction actually matters a whole…
Read more
What Is Physical AI? Where Cloud-Based LLMs Meet the Physical World
Artificial Intelligence is moving out of the browser and into the physical world. Over the past few years, Large Language Models (LLMs) transformed how…
Read more
How to Leverage Physical AI at Scale: The Case for an Edge Platform
Physical AI is moving intelligence from digital environments into the physical world. Unlike cloud-based AI systems that primarily generate content or support human decision-making,…
Read more