Sovereign Private Cloud for the AI Era: Viettel IDC and Broadcom Open a New Chapter in Southeast Asia
As artificial intelligence (AI) moves beyond experimentation into real-world deployment, the demand for sovereign cloud infrastructure is becoming increasingly critical. Enterprises today require more than high-performance cloud platforms—they need assurance that training data, proprietary information, and AI models remain stored and processed within the jurisdictions where they operate. SEE MORE
Kubernetes vs Serverless? Which Is the Right Choice for Enterprise Architecture?
In the Cloud Native era, Kubernetes vs Serverless represents a classic clash between two philosophies: Maximum control or ultimate convenience? If Kubernetes can be considered the solid backbone for complex Microservices systems, Serverless is the speed-driven launchpad that helps optimize costs for enterprises. So, which one is the right fit for your architecture?
What Is Kubespray? A Production-Ready Kubernetes Deployment Solution for Enterprises
Kubernetes has revolutionized Container orchestration, providing an efficient and flexible solution for application deployment. However, manually setting up and maintaining a Kubernetes Cluster is often highly complex and can easily become overwhelming.
What Is Minikube? A Beginner’s Guide to Running Kubernetes
Do you want to start learning Kubernetes but are concerned about server rental costs or complicated configuration? Minikube is the perfect answer. So, what is Minikube, and how does this tool turn your laptop into a “pocket-sized” Kubernetes Cluster that you can use for completely free hands-on practice?
What Is a Helm Chart? The Most Effective Way to Manage Kubernetes Applications
Are you overwhelmed by having to manage dozens of separate YAML configuration files every time you deploy an application to Kubernetes? That’s when you need Helm Chart – a solution often described as the key to escaping configuration hell.
What Is a Service in Kubernetes? A Complete A-Z Guide to Service Types and Configuration
In the Kubernetes world, Pods have one defining characteristic: they are ephemeral. They are constantly created, terminated, and replaced. Each time this happens, a Pod’s IP address changes. This creates a challenging problem: How can A communicate with B if B’s IP address keeps changing? The answer is Kubernetes Service.
What Is a Namespace in Kubernetes? A Complete A-Z Guide to Creating and Managing Namespaces
A Kubernetes Cluster is like a huge office building. Without proper zoning, resource conflicts between departments (Dev, Test, Prod) are inevitable. Kubernetes Namespaces are the essential partitions that divide physical infrastructure into multiple Virtual Clusters, ensuring effective isolation and management.
Kubernetes Cost Optimization: Effective Cloud Cost Reduction Strategies for Businesses
Kubernetes enables businesses to deploy and operate containerized applications at scale with greater flexibility. However, this flexibility also comes with increasingly complex cost management challenges. Kubernetes cost optimization is not simply about cutting resources or shrinking the cluster.
What Is the Vertical Pod Autoscaler? Effectively Optimizing Pod Resources in Kubernetes
In Kubernetes, manually setting CPU and memory resources for Pods can easily lead to either resource shortages or infrastructure waste. Improper configuration can cause applications to slow down, experience OOMKilled errors, or prevent the cluster from fully utilizing its available capacity. The Vertical Pod Autoscaler provides a smarter approach by automatically recommending and adjusting resources based on actual usage.
What Is the Kubernetes Scheduler? How Kubernetes Decides Where Pods Run
In Kubernetes, a Pod does not automatically start running immediately after it is created. It first needs to be assigned to a suitable node within the cluster. This task is handled by the Kubernetes Scheduler, whose role is to determine where a Pod should run. The Scheduler helps allocate resources efficiently, maintain system stability, and optimize overall performance.
Kubernetes vs Docker: Understanding the Key Differences for Effective Container Deployment
During the application containerization process, many people who are new to DevOps often confuse Docker and Kubernetes as two tools with the same role, and some even believe that learning only one of them is sufficient. In reality, Docker and Kubernetes solve two completely different problems, but they are closely connected within modern deployment architectures.
Kubernetes Pod vs Deployment: Understanding the Difference for Effective Application Deployment
In Kubernetes, Pod and Deployment are two fundamental concepts that are often confused, especially by those who are new to the container ecosystem. Many systems experience issues with stability, scalability, or operational complexity simply because the wrong choice is made between a Pod and a Deployment.
What Is Kubernetes Distributed Tracing? How to Trace Request Flows in Microservices Systems
In a microservices system, a request often passes through multiple services, containers, and Pods within Kubernetes, making it difficult to trace the processing flow when issues occur. When errors or latency arise, without visibility into the request's entire journey, debugging can feel like searching for a needle in a haystack. Kubernetes Distributed Tracing provides clear visibility into the end-to-end request flow, from entry point to completion.
Terraform vs Kubernetes: A Detailed Comparison of Two of the Most Popular Infrastructure Tools Today
When building and operating modern systems, especially on cloud and microservices platforms, two names that frequently come up are Terraform and Kubernetes. However, many people still confuse these two tools or assume that they can directly replace each other.
Kubernetes Deployment vs StatefulSet: Which One Should You Use for Your Application?
When deploying applications on Kubernetes, one of the most important decisions is choosing the right resource to manage the workload. Deployment and StatefulSet are both popular workload controllers, but they are designed to address two very different types of use cases.
What Is BaaS? Understanding Backend as a Service and How It Works
Backend as a Service helps developers build applications faster by providing ready-made backend services such as databases, authentication, and storage on cloud platforms.