Docker Compose for Single and Multi Node Cassandra Example

You can use examples below to create a single and multi node Cassandra clusters.

Single Node

version: "3.7"

services:

  blog-cassandra:
    image: "cassandra:3.11.9"
    container_name: "blog-cassandra"
    ports:
      - "9042:9042"
    environment:
      - "MAX_HEAP_SIZE=256M"
      - "HEAP_NEWSIZE=128M"

#cassandra #docker

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Docker Compose for Single and Multi Node Cassandra Example

You can use examples below to create a single and multi node Cassandra clusters.

Single Node

version: "3.7"

services:

  blog-cassandra:
    image: "cassandra:3.11.9"
    container_name: "blog-cassandra"
    ports:
      - "9042:9042"
    environment:
      - "MAX_HEAP_SIZE=256M"
      - "HEAP_NEWSIZE=128M"

#cassandra #docker

Multi-cloud Spending: 8 Tips To Lower Cost

A multi-cloud approach is nothing but leveraging two or more cloud platforms for meeting the various business requirements of an enterprise. The multi-cloud IT environment incorporates different clouds from multiple vendors and negates the dependence on a single public cloud service provider. Thus enterprises can choose specific services from multiple public clouds and reap the benefits of each.

Given its affordability and agility, most enterprises opt for a multi-cloud approach in cloud computing now. A 2018 survey on the public cloud services market points out that 81% of the respondents use services from two or more providers. Subsequently, the cloud computing services market has reported incredible growth in recent times. The worldwide public cloud services market is all set to reach $500 billion in the next four years, according to IDC.

By choosing multi-cloud solutions strategically, enterprises can optimize the benefits of cloud computing and aim for some key competitive advantages. They can avoid the lengthy and cumbersome processes involved in buying, installing and testing high-priced systems. The IaaS and PaaS solutions have become a windfall for the enterprise’s budget as it does not incur huge up-front capital expenditure.

However, cost optimization is still a challenge while facilitating a multi-cloud environment and a large number of enterprises end up overpaying with or without realizing it. The below-mentioned tips would help you ensure the money is spent wisely on cloud computing services.

• Deactivate underused or unattached resources

Most organizations tend to get wrong with simple things which turn out to be the root cause for needless spending and resource wastage. The first step to cost optimization in your cloud strategy is to identify underutilized resources that you have been paying for.

Enterprises often continue to pay for resources that have been purchased earlier but are no longer useful. Identifying such unused and unattached resources and deactivating it on a regular basis brings you one step closer to cost optimization. If needed, you can deploy automated cloud management tools that are largely helpful in providing the analytics needed to optimize the cloud spending and cut costs on an ongoing basis.

• Figure out idle instances

Another key cost optimization strategy is to identify the idle computing instances and consolidate them into fewer instances. An idle computing instance may require a CPU utilization level of 1-5%, but you may be billed by the service provider for 100% for the same instance.

Every enterprise will have such non-production instances that constitute unnecessary storage space and lead to overpaying. Re-evaluating your resource allocations regularly and removing unnecessary storage may help you save money significantly. Resource allocation is not only a matter of CPU and memory but also it is linked to the storage, network, and various other factors.

• Deploy monitoring mechanisms

The key to efficient cost reduction in cloud computing technology lies in proactive monitoring. A comprehensive view of the cloud usage helps enterprises to monitor and minimize unnecessary spending. You can make use of various mechanisms for monitoring computing demand.

For instance, you can use a heatmap to understand the highs and lows in computing visually. This heat map indicates the start and stop times which in turn lead to reduced costs. You can also deploy automated tools that help organizations to schedule instances to start and stop. By following a heatmap, you can understand whether it is safe to shut down servers on holidays or weekends.

#cloud computing services #all #hybrid cloud #cloud #multi-cloud strategy #cloud spend #multi-cloud spending #multi cloud adoption #why multi cloud #multi cloud trends #multi cloud companies #multi cloud research #multi cloud market

Docker Explained: Docker Architecture | Docker Registries

Following the second video about Docker basics, in this video, I explain Docker architecture and explain the different building blocks of the docker engine; docker client, API, Docker Daemon. I also explain what a docker registry is and I finish the video with a demo explaining and illustrating how to use Docker hub

In this video lesson you will learn:

• What is Docker Host
• What is Docker Engine
• Learn about Docker Architecture
• Learn about Docker client and Docker Daemon
• Docker Hub and Registries
• Simple demo to understand using images from registries

#docker #docker hub #docker host #docker engine #docker architecture #api

Top 24 Docker Commands Explained with Examples

In my previous blog post, I have explained in detail how you can Install Docker and Docker-compose on Ubuntu

In this guide, I have explained the Top 24 Docker Commands with examples.

Make sure you have sudo or root privileges to the system.

Docker Commands

1. The command to check the version of Docker installed.
2. To look/search for available docker images from the Docker registry.
3. To pull docker images from the Docker registry.
4. Listing all the docker images
5. Creating / Running docker container from Docker image.
6. To list the actively running docker containers.
7. To list all the docker containers
8. To stop a Container
9. To start a Container
10. To restart a Docker container
11. To login to running Docker container
12. To delete the stopped Docker containers
13. To delete Docker images from the Local system
14. To check logs of a running Docker container
15. Killing docker containers
16. Log in to Docker Hub registry (hub.docker.com)
17. Removing docker hub registry login from the system.
18. Check active resource usage by each containers
19. Rename a Docker container
20. To display system wide information of Docker
21. Inspecting a Docker container
22. Building docker images from Docker file
23. Creating new docker images from a Container
24. Pushing Docker images from Local to Docker registry.

#docker #docker-command #containers #docker-compose #docker-image

Run multi-container Docker applications with a single command

What is docker?

Docker is a platform to develop, deploy, and run applications inside independent and isolated environments. These environments are then called containers. This will let the developer run a container on any machine.

Simply docker solves the problem of **‘’It works on my machine’’**.

As you can see, with Docker, there are no more dependency or compilation problems. All you have to do is launch your container, and your application will launch immediately.

If you want to learn more about this excellent platform, the “Get Started” section of Docker Docs is a great place to start.

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Let’s move onto the topic.

If your application is containing more than one component (multiple containers), how do you manage such a situation easily? It means you need to run those multiple containers separately. How do you manage their network connectivity, volume binding, port binding, etc. from a central point?

When using Docker widely, the management of several different containers quickly becomes cumbersome.

Introducing docker-compose

Docker Compose is a tool that helps us overcome this problem and efficiently handle multiple containers at once. Also used to manage several containers at the same time for the same application.

This tool can become very powerful and allow you to deploy applications with complex architectures very quickly.

#containerization #docker-compose #dockerfiles #docker-image #docker