Posts

How Seeder is

 User-Friendly Interface:   Seeder scores big when it comes to user-friendliness. As a blogger juggling multiple tasks, I appreciate tools that are easy to set up and navigate. Seeder's clean interface makes it a breeze to customize settings and get started on the path to Twitter growth without a steep learning curve.  Engagement Surge:  One of Seeder's standout features is its ability to boost engagement. By intelligently interacting with users in my niche, Seeder helped drive more likes, retweets, and follows to my Twitter account. The increased engagement translated into a broader reach for my blog posts and a more connected audience.  Tailored Customization:   As a blogger, precision targeting is crucial. Seeder's customization options allowed me to tailor engagement strategies based on specific hashtags, locations, and interests relevant to my niche. This level of personalization ensured that my interactions were meaningful, resulting in a mo...

Google Kubernetes Engine and basic concept

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Kubernetes Engine is a managed, production-ready environment for deploying containerized applications. It brings the latest innovations of Google in developer productivity, resource efficiency, automated operations, and open source flexibility to accelerate your time to market. Kubernetes logo Kubernetes Engine enables rapid application development and iteration by making it easy to deploy, update, and manage your applications and services. Operate Seamlessly with High Availability Control the environment from the built-in Kubernetes Engine dashboard in Google Cloud console. Use routine health checks to detect and replace hung, or crashed, applications inside your deployments.Container replication strategies, monitoring, and automated repairs help ensure that your services are highly available and offer a seamless experience to your users. Scale Effortlessly to Meet Demand Go from a single machine to thousands: Kubernetes Engine auto scaling allows you to hand...

Oracle Cloud Infrastructure Key

Data service and API service with Google Kubernets Engine on Google Cloud Platform

Google Kubernetes Engine (GKE) is a management and orchestration system for Docker container  and container clusters that run within Google's public cloud services. Google Kubernetes Engine is based on Kubernetes, Google's open source container management system. GKE perfoms duties like,  Debug container clusters Update and upgrade container clusters

Container native DevOps platform with Docker

What is the Docker? Why we need Docker? Container management system... Alternatives for container management system Containers vs virtual machines Install Docker on Ubuntu... Start works with Docker...

Improve experince with Kubernetes ...

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Now days, trending concepts of the DevOps are containerization, microservices. Let's walk with them in this blog article. Containers Containers are an abstraction at the app layer that packages code and dependencies together. Multiple containers can run on the same machine and share the OS kernel with other containers, each running as isolated processes in user space. Containers take up less space than VMs (container images are typically tens of MBs in size), can handle more applications and require fewer VMs and Operating systems. Container management system... A container is a standard unit of software that packages up code and all its dependencies so the application runs quickly and reliably from one computing environment to another. A  container image is a lightweight, standalone, executable package of software that includes everything needed to run an application: code, runtime, system tools, system libraries and settings. Virtual machine VS containers Let...

Learn about Apache Kafka

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In this my blog article, it is going to present you on Apache Kafka . The content of the system like need of the messaging system, What is the Kafka?, Kafka features, Kafka components and Kafka installation. Need of the messaging system: Data pipelines: Communication is required between different systems in the real time scenario, which is done by using data pipelines. For an example let’s consider that chat server needs to communicate with Database server for storing messages.   Data Pipeline In the organizations, they have lot of servers like, database server, email servers and FTP servers like so on. According to the highest needs of the company, they have lot of nodes or applications to access the database. Suppose that, Front-end, Hadoop, Database slave and chat server need to access the database server. Simple pipeline In here it has multiple pipelines to the database server to achieve the communication with Database server by the other nodes. W...