Top 10 Docker Tools To Use In 2021

Top 10 Docker Tools To Use In 2021

Docker is a container solution to seamlessly build, deploy and run applications. It is one of the popular container platforms that many developers are using. It can be extensively used in distributed systems with multiple nodes to perform autonomous tasks concurrently, cutting down dependency on the physical systems, scaling systems for applications like Apache Cassandra, MongoDB, and Riak. Also it can be deployed in DevOps, especially in stages of Continuous Deployment.

There are some tools available which provide the right environment to configure containerization on your host. Here we’ve listed some of the tools that you must know before selecting the best one.

Top 10 Docker Tools To Use In 2021-

1. Packer-

This is a lightweight tool that can run on any operating system and  automates the image creation at any time for machines, including Docker. Packer supports many platforms and can be added by using plugins. Also it does not replace but integrates with configuration management tools like Chef, Puppet and Ansible. It has an ability to create multiple machine images in parallel to save time and increase efficiency. Teams can easily debug builds using Packer’s debugger that inspects failure and allows teams to try solutions before restarting builds. It has support with many platforms via plugins thus teams can customize their builds.

2. Gradle-

This open-source plugin automates and simplifies the script-building process. It is designed to support various platforms and languages. This tool integrates with various plugins and allows users to build scripts that talk to Docker. Gradle allows you to customize their repository and set up continuous builds to speed up processes. Build scans enables teams to collaboratively debug and track their scripts. Execution options lets teams to continuously build so that when changes are inputted, the task is automatically executed. And custom repository layout allows teams to treat any file directory structure as an artifact repository.

3. Prometheus-

It is used to test the deployed application developed in containers. Prometheus collects the data from the host at intervals and evaluates it to generate alerts whenever necessary. Also, it implements a high dimensional data model, has built-in expression browser, Grafana Integration and console template language to provide best analysis support. It has powerful queries which allow time slicing of data to create ad-hoc graphs, tables and alerts.

4. Dockersh-

It is used to provide a user shell for isolated, containerized environments. Dockersh is also used as a login shell for machines with multiple user interactions. When Dockersh is invoked, it brings up a Docker container into an active state and spawn an interactive shell in containers’ namespace. With this tool, users enter their own Docker space (container), with their home directory mounted on host machine, providing data retention between container restarts. 

Users can see only their processes with their own kernel namespaces for processing and networking. This gives required user privacy and superior division of assets and constraints relating to each. So as to provide user isolation through individual containers, you have to run a ssh Daemon in every container and have a separate port for every user to ssh or use ForceCommand hacks. It reduces the need for such complex procedures and allows you to have a single ssh process, on a normal ssh port to achieve isolation.

5. Logspout-

It is an open-source tool which is used for log management especially for docker containers. This tool is just a Docker container which collects logs from containers and transfers this information to a designated location. So is a great tool for teams who are using Docker and want to ship logs to various locations. Teams can easily manage files because the tool only requires access to the Docker socket.

6. Jenkins-

It allows development teams to automate software build and delivery process. Also teams can use hundreds of plugins and integrations to help with their builds and deployments. Some of the teams use Jenkins as a CI server that provides a CD hub for their projects. It also has ability to distribute works with various machines and help with the build, test and deployment process of apps. It is an open source tool with hundreds of plugins and integrations. You can implement CI/CD by setting Jenkins as a CI server.

7. Portainer-

It is focused on making it simple and easy to get a full picture of their Docker environments and manage their containers. Teams uses this tool to get complete visibility into their environments so as to easily manage their images, networks and volumes. You can use previously made templates or create your own to deploy applications. Also one can create teams and assign roles and authority to team members. 

8. Twistlock-

Twistlock will be the best choice for your Docker enterprise or docker community edition. This tool provides security against advanced threats, vulnerability and includes powerful runtime protection. Generally, it is programmed with machine learning to allow automated policy creation and enforcement which provides full lifecycle, full stack, container security solutions. With the feature vulnerability management, it collects vulnerability information from images that are present in your registry to analyze and address during upstream running of the Docker app. Runtime defence feature performs automated security models to provide powerful runtime protect against illegal threats. Cloud native firewalls provide customized security to the cloud platforms. CNAF and CNNF are some  of the firewalls that are built for cloud-native environments. In compilance with Docker CIS Benchmark, it monitors and automatically enforces compilance policies, throughout the container app lifecycle. It can be integrated with any CI/CD tools, any registry and any platform.

9. Flocker-

It is an open-source tool to manage containerized data volume for docker apps. Flocker helps the Ops teams to run Containerized stateful services with the use of tools for data migration. Dissimilar to Docker Data Volume which is limited to a single server, the Flocker data volume can be used with any container. Flocker data volume is called as datasets. Flockers can be used to manage Docker containers and associated data volume.

10. Habitus-

It is a Docker-based build tool, which uses a Dockerfile and a build.yml file to create multi-step container builds that includes any number of arbitrary commands. Every step in the build can be made to rely on some previous step, to ensure that complex multi-step dependencies work correctly. Habitus supports secrets in a build process and does so without leaving traces in the image.

Wrap up-

These are some of the important Docker tools that you must know before starting development. If you’re confused to choose the best one, consult with Solace Experts. We’re here to help you with consultation and docker development. Connect with solace and get a free quote for docker development. We will be happy to help you. 

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