Docker

Website

docker.com

Pricing URL

Official Docker Pricing

$ Details

Release Date

2013 January

Categories

#Developer Tools #Containers As A Service #Container Tools #Application Builder #Rapid Application Development

Startup details

Country

United States

State

California

City

San Francisco

Founder(s)

Solomon Hykes

Employees

50 - 99

Hazelcast

Website

hazelcast.com

Pricing URL

-

$ Details

-

Release Date

-

Categories

#Databases #NoSQL Databases #Key-Value Database #Relational Databases

Docker features and specs

• Portability
  Docker containers are designed to run consistently across different environments such as development, testing, and production, ensuring that software behaves the same regardless of where it's deployed.
• Efficiency
  Docker containers share the host OS kernel and use fewer resources compared to traditional virtual machines, which allows for faster startups and reduced overhead.
• Isolation
  Containers encapsulate the application and its dependencies in a separate environment, which minimizes conflicts between different applications' dependencies.
• Scalability
  Docker makes it easier to scale applications quickly and manage resource allocation dynamically, which is particularly useful for microservices architectures.
• Continuous Integration and Deployment
  Docker facilitates CI/CD processes by making it easier to automate the deployment pipeline, resulting in faster code releases and more frequent updates.
• Community and Ecosystem
  A vast community and a rich ecosystem of tools and pre-built images in Docker Hub, enabling you to quickly find and reuse code and solutions.

Possible disadvantages of Docker

• Complexity
  While Docker can simplify certain aspects of deployment, it adds a layer of complexity to the infrastructure that might require specialized knowledge and training.
• Security
  Containers share the host OS kernel, which can pose security risks if an attacker gains access to the kernel. Proper isolation and security measures must be implemented.
• Persistent Data
  Managing persistent data in Docker can be challenging, as containers are ephemeral and the default storage solutions are not always suitable for all applications.
• Monitoring and Debugging
  Traditional monitoring and debugging tools might not work well with containerized applications, requiring specialized tools and approaches which can complicate troubleshooting.
• Performance Overhead
  Although lighter than virtual machines, Docker containers can still introduce performance overheads, especially when multiple containers are running simultaneously.
• Compatibility
  Not all software and systems are fully compatible with Docker, which can limit its use in certain legacy applications and complex environments.

Hazelcast features and specs

• Scalability
  Hazelcast is designed to scale out horizontally with ease by adding more nodes to the cluster, providing better performance and reliability in distributed environments.
• In-Memory Data Grid
  Hazelcast stores data in-memory, allowing for extremely fast data access and processing times, which is ideal for applications requiring low latency.
• High Availability
  Hazelcast offers built-in high availability with its data replication and partitioning features, ensuring data is not lost and the system remains operational during node failures.
• Ease of Use
  Hazelcast provides a simple and intuitive API, making it accessible to developers and quick to integrate with existing applications.
• Comprehensive Toolset
  Hazelcast offers a wide range of features including caching, messaging, and distributed computing, all in one platform, which simplifies the architecture by reducing the need for multiple tools.

Possible disadvantages of Hazelcast

• Memory Usage
  Since Hazelcast operates in-memory, it can consume significant amounts of memory, which may be a concern for applications with large datasets.
• Complexity in Large Deployments
  While Hazelcast offers scalability, managing and configuring a large-scale deployment can become complex and may require experienced personnel.
• License Cost
  The enterprise version of Hazelcast, which offers additional features and support, comes with a licensing cost that might not fit all budgets.
• Limited Language Support
  Hazelcast's strongest support is for Java. While it offers clients for other languages, they may not be as robust or feature-complete as the Java client.
• Network Latency
  In distributed environments, network latency can impact performance, and as Hazelcast relies on network communication for node interactions, this could be a concern in some scenarios.

What is Docker in 5 minutes

More videos:

Hazelcast Introduction and cluster demo

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