7 essential container technology tools

Over the most recent years, containers have increased extensive consideration in the manner in which they have empowered innovation. This was primarily accomplished because of their improving and versatility in the performance of circulated applications. Aside from empowering operational agility in creating applications, there is currently a huge number of container-based services accessible with all driving cloud platforms. Basically, containerization permits improvement groups to move quickly and efficiently deploy software as well as work on a fast scale.

In actuality, cloud suppliers have become a one-stop stage for selling consumer equipment, for example, storage systems, servers, and bundled applications for workloads like AI (finished with custom chips). With the fight over cloud getting warmed up and organizations attempting to maintain a strategic distance from the situation of cloud lock-ins, cloud sellers are progressively going to open-source container advancements like Kubernetes, Docker, and offering managed containers that assist organizations with getting fully operational with containers.

Below is the list of Container fundamental Tools that are very popular in the market.

1. Docker

Features

1. Automated and Integrated container Security Policy.
2. Manageable containers across the cloud.
3. Automated governance.
4. No Lock-in: maintaining almost all sorts of applications, infrastructure, orchestrator, and OS.
5. Perform only trusted images.
6. Automated and Unified agile operations.

Pros

1. Adjust very well with CD/CI.
2. Many plugins are accessible to improve its features.
3. A Number of Docker images.
4. Saves the time in downtime and patching when matched to virtualization.
5. Saves space of storage.
6. Open-source.
7. You don’t have to worry about the different participants with dissimilar types of programming libraries, language, etc. while performing in a group.

Cons

1. Too tough to set up.
2. Not have a GUI.
3. Making persistent storage needs various efforts.
4. It takes too much time to learn this tool.
5. It does not have Mac’s built-in support.

2. Kubernetes

Features

1. Hybrid networking through VPN of Google cloud.
2. GPU Support
3. Open-source Kubernetes Management.
4. Support for Docker image.
5. PCI DSS 3.1 and HIPAA compliant.
6. Access and Identity management via Google accounts.
7. Built-in dashboard.
8. Container Optimized OS.

Pros

1. Built-in load balancing.
2. Highly secured
3. Simple to manage configurations.
4. Very intuitive GUI.
5. Auto-scaling
6. Cluster management directly via a web interface.
7. Google cloud effortless setup.
8. Functions Flawlessly with 99.5% SLA.

Cons

1. Logs are hard to recognize.
2. Time-consuming in deploying the automated fix and detecting errors.
3. It is quite a costly and time consuming and to Set up a manual cluster
4. Required months to proficient in this tool.

3. AWS Fargate

Features

1. It manages the infrastructure and scaling needs for containers itself.
2. AWSVPC network’s In-built support.
3. The bin packaging issue Handling.
4. Permits introducing thousands of containers in seconds.

Pros

1. Constructing a cloud-native application is too simple with this tool.
2. Simple User Interface.
3. Simple integration with the instance of EC-2.
4. Easy to scale down and scale up the production workloads.
5. Permits you to implement containers easily to manage servers and clusters.

Cons

1. The customer support is weak as it’s a new product.
2. It needs significant energy to implement and learn.
3. Restricted storage of containers for the task.
4. Too costly than other container services.

4. Container Linux by CoreOS

Features

1. Based on Chromium OS, Chrome OS, and Gento Linux through common SDK.
2. Kernel’s form is Monolithic.
3. Helps use cases and server hardware.
4. For auto-compilation of the components of the system, employs e-build scripts.

Pros

1. Open-source.
2. Permits you to act together with a remote cluster with fleetctl.
3. Automatic updates and modern Linux kernel.
4. On-premises installation.
5. For bootstrap CoreOS machines, uses cloud-init. The software becomes very easy and simple to perform with.
6. Ease of deploying and building new containers and usage of the Quay adds to the security.
7. All nodes know about other nodes through ECTD.
8. The flannel offered the network mesh that helps CoreOS to drive efficiently.

Cons

1. You have to reconfigure the cluster if you change the IP address for some reason.
2. After an auto-update, problems encountered.
3. Too many unit files make it hard to manage.
4. Not getting any feedback about services.
5. No resource awareness.

5. Microsoft Azure

Features

1. Hybrid platform support.
2. Supports programming languages.
3. Run in the cloud or on-premise.
4. Completely managed container platform.
5. VSTS and DevOps for CI/CD.
6. Deployment flexibility
7. Built-up source Docker CLI.
8. Click and Point publishing.
9. Log Analytics and Application Insights for getting a full vision of your containers.

Pros

1. Easy setup
2. Simplified configurations
3. Very flexible –underlying infrastructure management using selective tools.
4. Very Interactive CLI
5. Highly scalable
6. Compatible with many client-side open source tools.

Cons

It is quite difficult to upgrade Kubernetes nodes once deployed.

6. Portainer

Features

1. Web UI to achieve the environment of Docker.
2. For the addition of new nodes, assists the use of templates.
3. Helps the management of all Docker’s functionality and feature.

Pros

1. Simple to install.
2. Open-source
3. Freely accessible by GitHub.
4. It provides an API that can be utilized to automate the tasks of UI.

Cons

1. Not supportive of the Versions prior to 1.9.
2. No implied or express software warranty.

7. Apache Mesos

Features

1. Linear scalability.
2. Pluggable isolation.
3. Agents by means of Zookeeper and Fault-tolerant simulated master.
4. Cross-platform
5. Build-in support for introducing containers via AppC and Docker images.
6. Uses HTTP APIs.
7. Non-disruptive upgrades.
8. Built-in Web UI.

Pros

1. Open-source
2. Quite easy and simple to execute the slave and master process.
3. Smooth integration with Apache Spark.
4. Has several structures to execute tasks.
5. Very well-ordered C++ codebase.
6. Cluster resource management abstraction.
7. It allows the execution environment to encapsulate within the containers.

Cons

1. Debugging a work with mistakes is hard at times.
2. This tool UI is not that good.