Сloud Computing: Making Digital Transformation Happen
From the very beginning of the cloud uplift more than ten years ago, cloud services today continue developing constantly. Along with the new capabilities of IoT, AI, and DevOps, cloud has an immense impact on organizations' progress.???
Modern cloud solutions help businesses attain higher levels of agility, faster time-to-market, and increased efficiency while unlocking opportunities for enhanced user experiences and accessing new markets.?
In other words, the cloud is a core pillar of organizations' digital transformation. In this newsletter, let’s explore Intellias insights into cloud applications.?
Applying Cloud Edge: When and Why??
Cloud computing enables companies to run IoT applications without the spiraling costs of on-premises infrastructure and data processing equipment. Managing millions of IoT devices via a cloud, though, can be problematic due to security, latency, bandwidth, and service quality issues. This reason has pushed developers to source alternative solutions where data processing is executed closer to IoT sensors at the network's edge.?
In our whitepaper, we dive into cloud edge computing as a powerful combination for next-gen technology ecosystems. This approach is beneficial in scenarios where a large amount of data needs to be processed but where real-time processing is also required.??
For example:??
Learn more about cloud-edge applications.?
Does a Multi-Cloud Strategy Pay Off????
Yes. And AI can help. ?
Hardly anyone in the industry will argue that managing a massive multi-cloud infrastructure is a breeze. More often than not, it’s a lot like trying to play several musical instruments at once. With the snowballing amount of big data coming from various infrastructure elements, it becomes increasingly hard to react to issues timely and adequately, let alone make educated decisions regarding workload allocation and data re-routing.?
AI-based automation aims to solve these issues by leveraging the power of advanced self-learning algorithms embedded at the core of cloud management solutions. Driven by machine learning, these algorithms excel in processing large volumes of monitoring data, detecting even the most subtle deviations from established policies, and taking proactive measures to eradicate operational inefficiencies.?
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Explore more details about multi-cloud strategy – read our blog.?
Award-winning Open Source CQRS Framework for Cloud-Native: Use Case?
To help our clients scale up the development of microservice products we developed our own serverless CQRS Framework for cloud-native microservices – a completely unique, one-of-a-kind cloud software accelerator. It serves as an enabler of microservice solutions for companies operating on Azure in different domains and industries from FinTech to healthcare.??
Intellias’ CQRS Framework can help organizations:?
Find out more benefits of the Open Source CQRS Framework for Cloud-Native.?
To see how our open source CQRS framework can be leveraged to help you build cloud-native architectures quickly, effectively, and on budget - join our Microsoft workshop.?
Driving Global Thought Leadership?
Infrastructure cost optimization is one of the hottest topics today. With an insightful talk on efficient approaches to designing and operating cloud environments, Taras Pedchenko, Intellias Engineering Manager, has become the winner of Lightning challenge, a special pitching event within J On The Beach Conference, and became one of the keynote speakers.?
Taras' presentation is all about real-life cases and best practices for resolving issues related to the high cost of cloud services. As transparent communication between engineering teams and business stakeholders has become the critical success factor on his path, he will openly share guidelines and hints on navigating this sensitive landscape.?
Keep Intellias’ Cloud expertise in sight – explore our Cloud & DevOps Services.????