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What\'s New In Database 18c ... You Won\'t Hear About From OracleDaniel A. Morgan damorgan18c@gmail.com +1 612240353813 February 2019 1Unsafe Harbor Statement This room is an unsafe harbor You can rely on the information in this presentation to help you protect your data, your databases, your organization, and your career No one from Oracle has previewed this presentation No one from Oracle knows what I am going to say No one from Oracle has supplied any of my materials Everything
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Who needs application containers?

01
Developers looking to create, deploy, or manage applications in a consistent environment.
02
Organizations that want to enhance their software delivery processes and increase scalability.
03
DevOps teams aiming to automate their deployment pipelines.
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Businesses seeking to simplify application deployments across different environments.

Application containers form: A comprehensive guide for seamless document management

Understanding application containers

Application containers serve as a lightweight, efficient method to package and deploy software applications. They encapsulate an application and all its dependencies into a single unit, allowing it to run consistently across various environments. This self-sufficiency means that developers can ensure the application behaves the same way on a developer's machine, in test servers, and in production.

Unlike traditional deployment methods that rely on virtual machines (VMs), which require entire operating system copies, application containers share the host system's OS kernel, making them more efficient in terms of resource usage. Common technology stacks for containerization include Docker, which provides a CLI for building and managing containers, and Kubernetes, which offers orchestration for managing large numbers of containers effectively.

The benefits of using application containers

The adoption of application containers brings several substantial benefits. Firstly, containers are highly portable. Because they encapsulate everything needed to run an application, moving them between environments becomes effortless. This portability is particularly advantageous for teams working in distributed environments or cloud settings.

Secondly, application containers enhance scalability and resource efficiency. They allow resources to be effectively allocated across applications, as you can easily spin up or down containers based on the demand. This not only helps in optimizing costs but also improves application performance during peak loads.

Portability: Move applications seamlessly across different environments.
Scalability: Efficiently manage resources and respond to demand fluctuations.
Streamlined deployment: Faster integration into CI/CD processes.

Getting started with application containers

Before diving into application containerization, teams need to prepare their development environment. This begins with ensuring compatibility with existing systems and deciding on a containerization platform. Docker is an industry-standard tool laying the foundation for many container projects. Kubernetes can be used later to orchestrate and manage multiple containers.

To get started, install Docker on your local machine and familiarize yourself with its basic commands. It's also beneficial to have a basic understanding of Linux command-line usage, as much of container management revolves around terminal controls.

Creating and configuring application containers

Building an application container involves several key steps. First, select an appropriate base image that aligns with the technology stack of your application. For instance, if you're working with a Node.js app, you would start with a Node base image from Docker Hub.

Next, write a Dockerfile - a text file containing instructions for Docker on how to build your container image. Following this, execute the build command to create the image. This involves specifying any environment variables and configurations, such as mounting volumes for persistent storage, which is essential for maintaining application state between restarts.

Choose a base image relevant to your application.
Write a Dockerfile with necessary instructions.
Build the container image using Docker commands.
Configure environment variables and mount volumes as needed.

Managing application containers

Once containers are built, managing them effectively is crucial for operational success. Common commands like 'docker run' and 'docker ps' allow you to start and list containers. It's important to develop a routine for cleaning up unused containers and images to free up system resources.

Monitoring your containers' health becomes essential, especially in production environments. Tools such as Prometheus and Grafana can be integrated to provide insights into performance metrics, making it easier to identify and address potential issues before they impact users.

Utilize essential Docker commands for running your containers.
Use monitoring tools to track container performance.
Establish best practices for container lifecycle management.
Implement scaling strategies to handle traffic loads.

Application container security

Security should always be a priority when using application containers. Containers can introduce vulnerabilities if not managed properly. Understanding common risks—such as exposed services and intrusions—allows teams to implement stronger security measures.

Best practices include utilizing security scanning tools during the container building process, minimizing the number of packages within the container to reduce surface area, and implementing role-based access controls. Furthermore, employing container orchestration platforms like Kubernetes not only helps manage containers but also integrates security management at scale.

Use security scanning tools to identify vulnerabilities.
Limit package installations to reduce attack vectors.
Implement access controls to manage who can use containers.
Consider orchestration platforms for enhanced security management.

Comparing application containers and virtual machines

Application containers differ significantly from virtual machines. VMs provide a full OS instance for each application, which can lead to overhead issues and inefficient resource allocation. In contrast, containers share the host OS, which leads to faster startup times and reduced resource consumption.

In environments where rapid deployment and scaling are crucial—such as in microservices architecture—application containers offer clear advantages. However, VMs still have their place, particularly when running legacy applications that require full OS features. Ultimately, the decision to choose either technology depends on the specific use cases and existing infrastructure.

Containers share host OS, while VMs require complete OS images.
Containers are lighter and faster, ideal for microservices.
VMs are better for legacy applications needing comprehensive environments.

Advanced topics in application containers

Delving into advanced topics, integrating CI/CD pipelines becomes pivotal in modern application development. By automating the deployment of containerized applications, teams can enhance their workflows, reduce errors, and speed up their release cycles.

Additionally, understanding service meshes and networking in containerized applications allows for better management of service-to-service communication, enhancing observability and security in microservices architectures. The future predicts continued growth in container technology, emphasizing the importance of keeping abreast of emerging trends and tools.

Explore CI/CD integration for automated deployments.
Learn about service meshes for improved service communications.
Stay updated on new tools and trends in container technology.

Case studies: Application containers in action

Examining case studies reveals the transformative power of application containers across multiple industries. Companies like Spotify and Netflix utilize containers to manage deployments efficiently, allowing rapid scaling and updates. These organizations have demonstrated significant improvements in operational efficiency and reduced deployment times.

Real-world implementations provide valuable lessons, such as the importance of automated testing and the need for robust monitoring systems. Extracting best practices from these experiences ensures that organizations can replicate success in their container journeys, ultimately leading to more resilient applications.

Learn from companies like Spotify and Netflix deploying containers.
Identify best practices derived from successful implementations.
Understand common challenges faced by early adopters.

Common challenges and troubleshooting

Despite their advantages, application containers come with their set of challenges. Typical issues include network latency, dependency conflicts, and data management amidst container lifecycles. Establishing a clear troubleshooting process is essential for maintaining operational excellence.

Practices such as documenting known issues, utilizing community resources, and implementing rigorous logging can simplify troubleshooting. Engaging in active community forums also provides insights into solving specific problems encountered during container deployments.

Address common issues like network latency and dependency conflicts.
Document known issues for streamlined troubleshooting.
Engage with forums for community support and guidance.

Containers and the cloud

The synergy between application containers and cloud services is becoming an industry standard. Major cloud providers like AWS, Google Cloud, and Azure offer robust and scalable environments specifically designed for containerized applications. This integration simplifies management, enabling teams to focus on development rather than infrastructure.

Optimizing container use in cloud environments necessitates a focus on cost management. By adopting strategies such as reserved instances or autoscaling, organizations can significantly reduce expenses while taking advantage of the cloud's dynamic nature.

Leverage cloud offerings for container orchestration.
Implement cost management strategies to optimize spending.
Adopt autoscaling for efficient resource utilization.

The future of application containerization

As businesses continually seek to optimize their operations, application containers play a pivotal role in digital transformation. Emerging trends, such as greater emphasis on serverless architectures and container-native workloads, indicate a shift towards more dynamic and responsive IT environments.

Monitoring advancements in container orchestration tools and security protocols will be crucial for organizations aiming to stay ahead. Predictions indicate that container technology will evolve alongside AI and machine learning capabilities, streamlining processes further and enhancing operational efficiency.

Watch for trends towards serverless architectures.
Monitor the integration of AI and machine learning with containers.
Prepare for ongoing advancements in orchestration and security.

Interactive tools and resources for application containers

Leveraging the right tools can greatly enhance the efficiency and effectiveness of working with application containers. Docker Desktop offers an accessible way to experiment and develop locally. Additionally, cloud platforms often come with built-in container management solutions that streamline deployment processes.

There are numerous online courses and tutorials specifically targeting container knowledge, which can provide invaluable hands-on experience. Participating in community forums related to Docker or Kubernetes can also facilitate learning from peers and industry experts.

Use Docker Desktop for local development.
Explore cloud platforms for integrated container solutions.
Access online courses for deeper understanding and skills.
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Application containers are lightweight, portable environments that encapsulate an application and its dependencies, allowing it to run consistently across different computing environments.
Individuals or organizations that are deploying software applications in containerized formats typically are required to file application containers as part of their compliance with software delivery regulations.
To fill out application containers, you need to specify the application’s dependencies, configurations, and environment settings in a container specification format, often using tools like Docker.
The purpose of application containers is to provide a consistent execution environment that can be easily moved and replicated across different platforms, enhancing portability and scalability.
The information that must be reported on application containers includes the application name, version, dependencies, environment variables, and configuration settings.
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