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In today's digital world, high service level agreements (SLAs) are a key competitive advantage. When using internet platforms, customers expect them to operate without interruption. For many businesses, even short downtimes can have serious consequences. Of course, no technology is immune to failure. So 100% availability is a very ambitious goal. A key component in achieving this goal is the implementation of observability as a core principle of system monitoring and optimisation.What is the key success factor of observability for 100% availability?Unlike traditional monitoring systems, monitoring methods are usually "reactive". In the worst case, this means that a failure is only detected when it has already occurred. A comprehensive observability strategy detects potential problems before they cause failures. Teams quickly identify and resolve anomalies in metrics like latency or memory usage.If a problem occurs, observability helps to quickly identify the possible cause. Traces provide precise information about where delays or errors occur, while logs provide the necessary details to analyze the cause. By continuously analyzing system metrics and logs, bottlenecks and vulnerabilities are detected before they affect availability. This means that optimization is proactive. In practice, logging an application is a major challenge. Logging data must be defined and implemented by the application developers together with the operating units, among others. Here, the DevOps concept plays an important role again, which must be implemented “hand in hand” in practice. Observability should therefore be an integral part of the DevOps workflow.Modern IT systems often use microservices that run in both the cloud and on-premises data centers, with different teams managing them based on the application. Observability creates transparency and provides a better understanding of dependencies and potential vulnerabilities in these complex architectures, promoting a culture of continuous optimization.Challenges in implementing observabilityThe most common problems include selecting the right tools for analyzing mass data. Key technologies include APM (application performance monitoring) tools with AI functions developed specifically for observability. Due to the high volumes of data generated by monitoring, it is necessary to use high-performance databases and event bridges to bundle events and provide detailed control over the delivery of messages to different recipients.ConclusionObservability is an indispensable tool for companies striving for the highest availability. It is not a one-off task, but an ongoing process. It enables organisations not only to react to problems when it is too late, but also to counteract them proactively. Teams can overcome potential organizational resistance by clearly communicating the benefits and added value. The investment in observability pays off: it increases the stability and performance of systems, bringing you a decisive step closer to the goal of 100% SLA availability.
A digital twin is defined as the digital image of a product or process. It supports process optimization, early error detection, and automation gains along the entire value chain. New, service-oriented business models can be created based on the digital twin. However, the German economy is still having a hard time with digitization and an even harder time with digital twins."A large proportion of companies are using digital technologies to secure their competitiveness, but not to develop new business models, for example in the form of digital, portfolio-complementing value-added services," says Michael Finkler, VDMA Board Member for Software and Digitalization, in a recent article for Industry of Things (article in German).Digital twin — already a realityAdmittedly, digital twins are not yet at the forefront of many conversations and processes at customers and suppliers to create new value-added products and services. Nevertheless, SupplyOn has been working on this in the background for some time. For each material number, for example, all available data — even at serial number level — is combined and made available. This makes it possible, for example, to automate goods receipt or to provide quality data electronically. SupplyOn supports various initiatives in this regard, such as Industry 4.0, Asset Administration Shell (AAS) or Catena-X standardization.Hence, the foundation is laid for companies to develop their own value-added services or secure competitive advantages based on a digital twin. Now it's time to get active and creative!
