Scaling applications to handle increased traffic and demand is a crucial aspect of any production environment. Kubernetes, a popular open-source platform for managing containerized workloads and services, offers a powerful feature called the Horizontal Pod Autoscaler (HPA) for this purpose.…
Applications
Deploying Multi-region Applications in Google Cloud Platform via CTO.ai
Google Cloud Platform (GCP) offers the infrastructure to facilitate such deployments, and when coupled with CTO.ai, the process becomes seamless. This article will guide you through deploying multi-region applications in GCP using CTO.ai.…
Ensuring High Availability of Containerized Applications with CTO.ai
With the advent of containers and the CI/CD prowess of CTO.ai, building resilient and highly available applications has become more achievable. This post delves into strategies, configurations, and best practices for ensuring the high availability of containerized applications using CTO.ai.Understanding High AvailabilityHigh Availability (HA) refers to…
Securing Serverless and Cloud-Native Applications
In recent years, the drive towards serverless and cloud-native applications has become more intense, and understandably so. With the countless advantages of flexibility, elasticity, and cost-effectiveness, the trend of serverless and cloud-native is a clear path forward. However, in this rush, we mustn't forget the importance of security. This blog…
Real-Time Caching for Cloud Native Applications with Redis
Redis is a high-speed in-memory data structure store that can function as a database, cache, and message broker. It’s an open-source tool that can significantly speed up applications by reducing the time spent on data operations. With Redis's in-memory data structure, you can improve the efficiency and speed of…