CI\CD : In world of Dockers

-

Docker provides the ability to package and run an application in a loosely isolated environment called a container. The isolation and security allow you to run many containers simultaneously on a given host. You can even run Docker containers within host machines that are actually virtual machines




Kubernetes and OpenShift are both container orchestration platforms, but they have some important differences:

1. OpenShift is a Kubernetes distribution with additional features: OpenShift is built on top of Kubernetes and adds several features and capabilities that Kubernetes does not have out of the box. Some of these features include integrated container registry, integrated CI/CD pipelines, integrated monitoring, and integrated security features.

2. OpenShift has a more opinionated approach: OpenShift is designed to provide a more opinionated and integrated platform for building and deploying containerized applications. This means that OpenShift has a more prescriptive approach to how applications should be deployed and managed.

3. OpenShift has a different architecture: OpenShift has a different architecture than Kubernetes. OpenShift uses a platform-level control plane, which includes Kubernetes but also includes additional components such as the OpenShift API server and the OpenShift router.

4. OpenShift has a different user interface: OpenShift provides a web-based console that makes it easier to manage and monitor applications running on the platform. The console provides a graphical user interface for managing Kubernetes resources, as well as additional features for managing OpenShift-specific resources.

5. OpenShift has a different target audience: OpenShift is targeted at enterprise customers who are looking for a more integrated and opinionated platform for building and deploying containerized applications. Kubernetes is more targeted at developers who are looking for a flexible and modular platform for building and deploying containerized applications.

Overall, while Kubernetes is a more generic and flexible container orchestration platform, OpenShift provides a more opinionated and integrated platform for building and deploying containerized applications, especially in enterprise environments.





Comments

Post a Comment

Popular posts from this blog

Spark Cluster

-
Image
Spark applications run as independent sets of processes on a cluster, coordinated by the   SparkContext   object in your main program (called the   driver program ). Specifically, to run on a cluster, the SparkContext can connect to several types of  cluster managers  (either Spark’s own standalone cluster manager, Mesos or YARN), which allocate resources across applications. Once connected, Spark acquires  executors  on nodes in the cluster, which are processes that run computations and store data for your application. Next, it sends your application code (defined by JAR or Python files passed to SparkContext) to the executors. Finally, SparkContext sends  tasks  to the executors to run. There are several useful things to note about this architecture: Each application gets its own executor processes, which stay up for the duration of the whole application and run tasks in multiple threads. This has the benefit of isolating applications from ...
Read more

DORA Metrics

-
 DORA metrics, often referred to as the DORA (DevOps Research and Assessment) metrics, are a set of key performance indicators (KPIs) used to measure and assess the effectiveness of an organization's DevOps practices. DORA metrics were developed by the DevOps Research and Assessment team, which includes notable figures in the DevOps community such as Dr. Nicole Forsgren and Jez Humble. The DORA metrics encompass four key areas: 1. **Deployment Frequency:** This metric measures how often an organization deploys code changes to production. Higher deployment frequencies indicate a more agile and responsive development process. 2. **Lead Time for Changes:** This metric tracks the time it takes for code changes to go from code commit to being deployed in production. Shorter lead times suggest efficient and streamlined development and delivery processes. 3. **Mean Time to Recover (MTTR):** MTTR measures how quickly an organization can recover from failures or incidents in production. Low...
Read more