Pivotal Cloud Foundry is a popular platform as a service (PaaS) that allows developers to build, deploy, and scale cloud-native applications quickly and efficiently.
To get started with Pivotal Cloud Foundry, you'll need to create a user account and sign up for a free trial or purchase a subscription.
Pivotal Cloud Foundry supports a wide range of programming languages, including Java, Python, Node.js, and Ruby, making it a versatile choice for developers.
The platform provides a robust set of tools and services, including a built-in database, messaging queues, and load balancing, to help you build and deploy scalable applications.
What is Pivotal Cloud Foundry?
Pivotal Cloud Foundry (PCF) is a higher-level, cloud-native platform that abstracts away the underlying infrastructure and provides a comprehensive set of tools and services for building, deploying, and managing applications.
PCF provides a broader range of features and services compared to PKS, including application lifecycle management, data services, and security features.
PCF is often preferred by organizations that prioritize ease of use and productivity, which I can understand as it's designed to be user-friendly.
PCF is designed to support multi-cloud environments, allowing for flexibility in deployment options.
Here's a comparison of PCF and PKS to help illustrate their differences:
PCF has its own application runtime, which is optimized for running cloud-native applications, and is well-suited for traditional enterprise applications and microservices.
Components and Architecture
Pivotal Cloud Foundry is made up of several critical components that work together to create a smooth infrastructure and workflows. BOSH, the deployment automation tool, allows for automated deployment of cloud-based applications across multiple cloud platforms.
The UAA Server is the primary Identity and Access Management (IAM) component within PCF, and it can be used by operations teams to create, configure, and manage existing and new user accounts.
Application and System Routing is handled by GoRouter, which is responsible for handling incoming requests and commands from operations and development teams. GoRouter connects with Diego to manage load balancing across the system and keep track of application instances.
Here are the three primary components of Pivotal Cloud Foundry's architecture at a high level:
- Application Framework: This is where application developers can design their applications using PCF's frameworks.
- Platform Runtime: This component gives your application the support it needs to execute in a distributed environment.
- Infrastructure Automation: This component is in charge of provisioning computer resources by exploiting the underlying infrastructure on which PCF runs.
Components
Pivotal Cloud Foundry (PCF) is made up of several critical components that work together to create a smooth infrastructure and workflows. BOSH is the deployment automation tool that allows for automated deployment of cloud-based applications across multiple cloud platforms.
BOSH can also be used to deploy Kubernetes clusters outside of PCF. It acts as a middleware interface between PCF and your chosen IaaS platform, allowing the PCF platform to be deployed within any other cloud environment automatically.
The UAA (User Account and Authentication) Server is the primary Identity and Access Management (IAM) component within PCF. It allows operations teams to create, configure, and manage existing and new user accounts.
The UAA can be used to generate authentication tokens with unique access permissions for client applications. This is done using the UAA API.
PCF's GoRouter is responsible for handling incoming requests and commands from operations and development teams. It can either be sent directly from users to the PCF-deployed applications, or routed through the Cloud Controller API.
The GoRouter connects with Diego to manage load balancing across the system and keep track of application instances.
The Cloud Controller is the component that connects all APIs to a centralized endpoint. It allows developers and operators to send commands to PCF and its deployed applications.
These commands can include staging and running (stopping/starting) applications. The Cloud Controller also allows teams to monitor operation information of applications that are currently deployed.
Diego is PCF's own container orchestration tool used for creating and managing containers within the PCF application deployments. It works hand-in-hand with Garden API to manage these deployed application backends.
Diego includes three main components: Diego Brain, Diego Cells, and Database VM. Diego Brain is responsible for receiving and assigning requests to cells, and then scheduling these requests for execution.
Diego Cells are the Virtual Machines (VMs) on which containers exist and are run. Database VM monitors incoming requests, and updates statuses as requests are completed.
Here are the three primary components of Pivotal Cloud Foundry at a high level:
BOSH is a deployment management tool for Cloud Foundry that can also be used to deploy a Kubernetes cluster outside of the platform. It connects Pivotal Cloud Foundry to a specific IaaS platform, allowing PCF to operate in any cloud environment.
Ops Manager is a web-based graphical interface that helps with task automation and PCF deployment. It's available in IaaS environments and can be used to import and configure monitoring solutions before deployment.
The UAA Server manages identity and access management on the server. It lets PCF admins establish, manage, and configure user accounts, as well as manage roles-based access and generate authentication tokens for client applications.
Diego is the container orchestration system used for Pivotal Cloud Foundry deployments. It uses three key components to orchestrate the deployment of containers within PCF: Diego Brain, Diego Cells, and Database VM.
Loggregator
The Loggregator is a key component in PCF's infrastructure, responsible for aggregating and streaming logs, event files, and metrics from various sources.
It collects data from PCF's different infrastructure components, as well as all currently deployed applications.
The aggregated stream of data is known as the PCF Firehose, which provides a centralized view of system activity.
This allows developers and operators to monitor and troubleshoot issues more effectively.
The Loggregator plays a critical role in enabling real-time monitoring and logging in PCF environments.
Benefits and Best Practices
Pivotal Cloud Foundry offers numerous benefits for businesses, including faster development iteration and improved efficiency with IT Operations management (ITOM). This allows organizations to run, deploy, and build software more quickly.
The platform provides easy portability with applications, making it simple to move applications across infrastructure targets. Pivotal Cloud Foundry also enables high availability and health management for applications.
Some key best practices to consider when using Pivotal Cloud Foundry include planning ahead for your organization, spaces, apps, and security before initiating deployment. Avoid writing to the local file system and consider running multiple instances for increased availability.
Here are some key benefits of Pivotal Cloud Foundry at a glance:
Benefits
Using Pivotal Cloud Foundry can greatly benefit your business. It offers numerous advantages, including faster development iteration, improved efficiency with IT Operations management, and easy portability with applications.
With Pivotal Cloud Foundry, you can expect to see improved efficiency in IT Operations management. This is one of the key benefits of using PCF.
One of the most significant advantages of Pivotal Cloud Foundry is its ability to simplify application portability. This means you can easily move your applications across different infrastructure targets.
Here are some of the key benefits of Pivotal Cloud Foundry:
- Faster development iteration
- Improved efficiency with IT Operations management (ITOM)
- Easy portability with applications
- Greater developer productivity
- High availability
- Health management for applications
- Centralized platform administration
- Seamless cloud platform usage
- Dynamic routing
- Increased time-to-production
By using Pivotal Cloud Foundry, you can also expect to see increased developer productivity and high availability. This means your applications will be more reliable and your developers will be more efficient.
Pivotal Cloud Foundry's centralized platform administration makes it easy to manage your applications and infrastructure. This is particularly useful for large-scale applications with a growing user base.
Best Practices
Before deploying your application on Cloud Foundry, it's essential to plan ahead for your org, spaces, apps, and security. This will help you ensure a smooth deployment process.
Avoid writing to the local file system, as it can cause issues with your application's performance and reliability.
Consider running multiple instances of your application for increased availability. This will help ensure that your application remains accessible even in case of failures or maintenance.
For deployment, start with an active-passive architecture for greater availability. This will help you ensure that your application remains accessible even in case of failures or maintenance.
To ensure high availability, set up three availability zones minimum. This will help you distribute your application across different zones and ensure that it remains accessible even in case of failures or maintenance.
Optimize your application for performance and scalability. This will help you ensure that your application remains fast and responsive even under heavy loads.
Here are some key best practices to keep in mind:
- Plan ahead for your org, spaces, apps, and security
- Avoid writing to the local file system
- Consider running multiple instances for increased availability
- Start with an active-passive architecture for greater availability
- Set up three availability zones minimum
- Optimize for performance and scalability
Running Applications
You can start a Spring Boot application from the cf CLI using the command `cf push PCCDemo -p target/PCCDemo.jar`. Alternatively, you can start the app from Apps Manager, which allows you to tail and monitor the application log file.
To access the same data from the Gfsh command-line tool, you'll first need to observe that your application informed the cluster that it needed a Region called "Books".
You can also access the app details using the cf CLI command `cf app PCCDemo --guid`, or by navigating to the App tab under your org and space in Apps Manager.
Running Spring Boot
Running Spring Boot applications can be a bit tricky, but don't worry, I've got you covered. You can start the PCCDemo app from the cf CLI using the command `cf push` followed by the name of your application.
To run a Spring Boot application as a specific user, you need to create a user with restricted permissions using Pivotal CloudFoundry AppsManager while provisioning the PCC service instance. This will allow you to configure your application to run with a different user at runtime.
You can configure your Spring Boot application to run with a different user by setting the `spring.data.gemfire.security.username` property. This property corresponds directly to the SDG `@EnableSecurity` annotation, `securityUsername` attribute.
To use Spring Profiles, you can simply configure the Spring Boot application to run with a different user depending on the environment. This is convenient since then you can tail and monitor the application log file.
You can start the PCCDemo app from the Apps Manager, which is convenient since you can tail and monitor the application log file.
Here are the ways to start the PCCDemo app:
- From the cf CLI using the command `cf push` followed by the name of your application.
- From Apps Manager.
- Using the Gfsh command-line tool.
Running PCFDev
Running PCFDev is a straightforward process that involves executing a cf CLI command. You'll need to replace the path to the TGZ file with the file you acquired from the download.
PCF Dev provides several services out-of-the-box, including MySQL, Redis, and RabbitMQ. These services can be bound and used by your application.
To get PCF Dev setup and running on your workstation, you'll need to follow the steps outlined in the tutorial.
PCF Dev lacks the Pivotal Cloud Cache (PCC) service, which is actually ideal for this exercise since we're trying to connect to an externally managed, standalone Apache Geode or Pivotal GemFire cluster.
To run PCF Dev, you'll execute the cf CLI command. You should see output similar to "To use the cf CLI tool, you must login to the PCF Dev environment:".
You can access the PCF Dev Apps Manager tool from your Web browser at the following URL: https://apps.dev.cfdev.sh/. Apps Manager provides a nice UI to manage your org, space, services, and apps.
Frequently Asked Questions
What happened to pivotal Cloud Foundry?
After VMware acquired Pivotal, Cloud Foundry was absorbed into the Tanzu portfolio, becoming less relevant as Kubernetes and Cloud Providers' managed services gained popularity.
How is pcf different from Kubernetes?
Cloud Foundry is pre-configured with a specific workflow, whereas Kubernetes offers flexibility and can be customized to support various workflows. This difference in design makes them suited for different use cases and deployment needs.
What is the difference between PCF and AWS?
PCF and AWS differ in their scalability options, with PCF offering robust scaling but limited flexibility, while AWS provides extensive scalability features and services for large and complex environments
Sources
- https://www.pagerduty.com/resources/learn/what-is-pivotal-cloud-foundry/
- https://www.atatus.com/glossary/pivotal-cloud-foundry/
- https://docs.spring.io/spring-boot-data-geode-build/1.2.x/reference/html5/cloudfoundry.html
- https://launchdarkly.com/blog/deploying-launchdarkly-with-pivotal-cloud-foundry/
- https://chinnababus.medium.com/demystifying-the-differences-pivotal-cloud-foundry-vs-pivotal-container-service-d987b11a62d5
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