Platform Engineering on Kubernetes – Architecture and Tooling
As the world moves to a self-servicing platform infrastructure, especially in cloud-native environments, Kubernetes plays a crucial role in building flexible, resilient, and scalable infrastructure.
In this blog, we will take our conversation forward on how Kubernetes ecosystem is helping engineering teams build these cloud-native platforms. We will specifically talk about some of the architecture-related questions that are crucial to answer to build a resilient self-service platform on Kubernetes.
Understanding Platform Engineering in a Kubernetes Ecosystem
Gartner tagged Platform Engineering as an emerging tech in their annual Hype Cycle in 2022. It has only grown in its presence around the world.
How Kubernetes Powers the Foundation of Platform Engineering for Cloud-Native Development
Platform engineering is an emerging trend, especially in the cloud-native world. According to a recent report by CloudBees, 83% of the surveyed enterprises have made significant progress in adopting Platform Engineering in their development cycles.
Artificial Intelligence in Edge Computing – Benefits and Use Cases
What exactly is the definition of artificial intelligence in edge computing? Also, what are the benefits? What use cases are there? And how it differentiates from cloud?
Difference Between Edge Computing and Fog Computing
Edge computing and fog computing make it possible to solve the problem of latency between data collection and transmission and bandwidth issues. Both edge computing and fog computing receive the same amount of attention these days but are often misunderstood by those who need to learn their differences.
Benefits and Challenges of Self-Hosted Kubernetes
Many organizations opt for managed Kubernetes services such as Amazon EKS, Azure AKS, or Google GKE initially to simplify operations and leverage the cloud provider’s expertise. As businesses develop further however the decision of whether to switch from managed services to self-hosted Kubernetes becomes an important one.
Challenges and limitations of multi-tenancy and self-service in OpenShift
OpenShift has quickly emerged as a powerful solution in the ever-evolving landscape of cloud computing and container orchestration, providing agile, scalable solutions to organizations seeking agility and scalability.
The Relationship Between 5G and Edge Computing
5G and Edge Computing are relatively new technologies that have gained momentum quickly. According to GSMA, the 5G network will provide users access to 1 Gbps wireless speeds and enable the Internet of Things (IoT) applications in homes, cities, enterprises, factories, and more at significantly lower costs than current networks.
Edge Computing: Case Studies and Real World Examples
In case you have not heard, edge computing is a new term rapidly gaining steam over the past few years. In simple terms, “edge” or “fog” computing refers to processing things closer to their source (i.e., at the edge of a network) vs. large centralized systems that serve all data requests from a single resource.
Edge Computing Vs. Cloud Computing: Key Differences to Know
The groundswell of computing is shifting, and it’s happening in the periphery. Edge devices have been growing at exponential rates. Cloud computing will now need to address the needs of this new framework. These two technologies are not exclusive of each other and go hand-in-hand. That’s why the adoption of cloud and edge computing will […]
