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Kubernetes Deployment: A Kubernetes Deployment automates the management of application updates and scaling. It defines the desired state for an application, such as the number of replicas, the container image to use, and update strategies. The Deployment controller ensures that the actual state of the application matches the desired state by creating and updating pods as needed. Deployments support rolling... - Source: dev.to / 15 days ago
Good knowledge of the Kubernetes basic concepts and components - this exercise will be utilizing Kubernetes concepts such as Deployments, Services, Volumes, PersistentVolume, Secrets, Pods, Containers, etc. For more on Kubernetes concepts check out this documentation. - Source: dev.to / 3 months ago
Create a deployment.yaml to define a Deployment resource. A Deployment in Kubernetes is a resource that manages and updates a group of identical pods that run our application. Ensure to substitute IP 80.85.245.188 to your VPS IP. - Source: dev.to / 4 months ago
Kubernetes Deployments Documentation. - Source: dev.to / 4 months ago
Deployments manage a set of pods and ensure your application is running in the desired state. When you use Kubernetes, you'll inevitably write a deployment at some point along the line. - Source: dev.to / 5 months ago
Choose a consistent communication protocol for inter-service communication. Common protocols include HTTP, gRPC, and message brokers like RabbitMQ or Kafka. NestJS supports various communication strategies, allowing you to choose the one that best fits your needs. - Source: dev.to / 11 days ago
In today’s fast-paced digital landscape, effective data management and analysis are essential for businesses aiming to stay ahead of the curve. Fortunately, modern tools like Apache Kafka and RudderStack have revolutionized the way we handle and derive insights from large datasets. In this blog post, we’ll explore our experience implementing the Kafka Sink Connector to facilitate seamless event data transfer to... - Source: dev.to / 3 months ago
Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a... - Source: dev.to / 4 months ago
Apache Kafka is a distributed streaming platform capable of handling high throughput of data, while ReductStore is a databases for unstructured data optimized for storing and querying along time. - Source: dev.to / 4 months ago
*Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...). - Source: dev.to / 5 months ago
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
RabbitMQ - RabbitMQ is an open source message broker software.
Helm.sh - The Kubernetes Package Manager
Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.
Google Kubernetes Engine - Google Kubernetes Engine is a powerful cluster manager and orchestration system for running your Docker containers. Set up a cluster in minutes.
StatCounter - StatCounter is a simple but powerful real-time web analytics service that helps you track, analyse and understand your visitors so you can make good decisions to become more successful online.