Modern software development is moving away from client/server toward more flexible architectures with services located everywhere. This requirement makes application-oriented multi-cloud and multi-cluster connectivity an inevitable trend of cloud computing. VPN technologies ...
Modern software development is moving away from client/server toward more flexible architectures with services located everywhere. There are various reasons for deploying or replicating an application in multiple locations: geographically distributed applications for enhanced performance and availability, maintain compliance, connected vehicles, local breakouts in 5G, remote edge sites, etc. This requirement makes application-oriented multi-cloud and multi-cluster connectivity an inevitable trend of cloud computing.
VPN technologies like OpenVPN, Strongswan, Wireguard etc. are widely used to create secure site-to-site connectivity between sites, although VPN is conformant in facilitating connectivity between remote-sites there are caveats and and complexities involved. Some key caveats: VPNs can obfuscate the network path, increased network latency, monitoring the network path through a VPN tunnel is a challenge, as new sites are added the number of site-to-site connections to manage grows exponentially — scaling sites becomes impractical to maintain, cloud-native applications change the topologies based on the advanced scheduling framework where the connectivity has to auto detect the same and lastly the configuration and management of VPN is complex.
Our original Kubernetes tool list was so popular that we've curated another great list of tools to help you improve your functionality with the platform.
Edge Computing: Device Edge vs. Cloud Edge. Here’s a breakdown of how device edge and cloud edge compare. Edge computing, defined. First, let’s briefly define edge computing itself. Edge computing is any type of architecture in which workloads are hosted closer to the “edge” of the network.
This article explains how you can leverage Kubernetes to reduce multi cloud complexities and improve stability, scalability, and velocity.
Learn 6 reasons to switch to managed Kubernetes. Managed Kubernetes services have matured to the point where many enterprises are handing over the keys to their clusters. Here we identify some of the main drivers behind that trend.
Get Hands-on experience on Kubernetes and the best comparison of Kubernetes over the DevOps at your place at Kubernetes training