The recent snowballing growth of decentralized data collection from IoT applications has profound implications on performance and scalability in industrial settings. Data needs to be aggregated, analyzed, contextualized, and visualized…
All our customers have already invested in CI/CD for their cloud applications and we aim to be a very good citizen in those environments. This article describes in detail what…
Converting an application from Kubernetes to Avassa might sound like it has the potential of being a time-consuming maneuver. So when one of our customers asked if it would be…
As described in the previous article in this series, the functional requirements and characteristics for edge orchestration and central cloud orchestration are different. This article looks at the different functional…
The emergence of cloud computing was predicated on the presence of flexible application platforms in centralized locations providing massive amounts of computing and storage. The cloud computing operational model paved…
We all are engineers, and as engineers, we are solution focused: “Give me a problem, and I have a solution for it”. But in some cases, we are too solution…
Developing modern cloud applications requires that the developer can handle both traditional programming, as well system operations. This is also true for applications deployed to a distributed network of edge…
As development and operations teams start using the tools provided by the cloud-native ecosystem, they have good reasons to celebrate the improvements in efficiency and agility brought on by this…
Re-calibrating the digital experience in the physical realm Retail enterprises are working towards a comprehensive set of omnichannel capabilities with a keen eye on a post-COVID world where customers are…
The original cloud operational model made life significantly easier for developers and operations teams. It gave them access to on-demand compute, made their applications location-independent and allowed applications to automatically scale out based on traffic loads. This changed the way enterprises thought about IT and applications.