MongoDB Ops Manager + Kubernetes

Soft Introduction to Google's framework for taming containers in the cloud. For devs and architects that they just enter the world of cloud, microservices and containers

An in depth overview of Kubernetes and it's various components. NOTE: This is a fixed version of a previous presentation (a draft was uploaded with some errors)

This document provides an overview of Docker and Kubernetes concepts and demonstrates how to create and run Docker containers and Kubernetes pods and deployments. It begins with an introduction to virtual machines and containers before demonstrating how to build a Docker image and container. It then introduces Kubernetes concepts like masters, nodes, pods and deployments. The document walks through running example containers and pods using commands like docker run, kubectl run, kubectl get and kubectl delete. It also shows how to create pods and deployments from configuration files and set resource limits.

This presentation includes information on Kubernetes Architecture, Container Orchestration, Internal Routing, External Routing, Configuration Management, Credentials Management, Persistent Volumes, Rolling Out Updates, Autoscaling, Package Management, and a Hello World example using Helm.

Kubernetes is an open-source tool for managing containerized workloads and services. It allows for deploying, maintaining, and scaling applications across clusters of servers. Kubernetes operates at the container level to automate tasks like deployment, availability, and load balancing. It uses a master-slave architecture with a master node controlling multiple worker nodes that host application pods, which are groups of containers that share resources. Kubernetes provides benefits like self-healing, high availability, simplified maintenance, and automatic scaling of containerized applications.

It is a power point presentation, Prepared by Hyphen. This ppt is attached another doc file which is a Report

Prometheus was recently accepted into the Cloud Native Computing Foundation, making it the second project after Kubernetes to be given their blessing and acknowledging that Prometheus and Kubernetes make an awesome combination. In this talk we'll cover common patterns for running Prometheus on Kubernetes, how to monitor services on Kubernetes, and some cool tips and hacks to ensure you get the most out of your Prometheus + Kubernetes deployment.

This document summarizes a presentation about Kubernetes Event-driven Autoscaling (KEDA). KEDA allows applications running on Kubernetes to automatically scale based on external events from services like Azure Event Hubs, Kafka, or Cosmos DB. It provides out-of-the-box and custom scalers to monitor event sources and scale deployments and jobs as needed. KEDA is open source, cloud agnostic, and aims to simplify autoscaling so developers can focus on their applications rather than scaling internals. The presenters demonstrate using KEDA to scale a .NET Core worker based on an Azure Service Bus queue depth.

This document discusses Kubeflow, an end-to-end machine learning platform for Kubernetes. It covers various Kubeflow components like Jupyter notebooks, distributed training operators, hyperparameter tuning with Katib, model serving with KFServing, and orchestrating the full ML lifecycle with Kubeflow Pipelines. It also talks about IBM's contributions to Kubeflow and shows how Watson AI Pipelines can productize Kubeflow Pipelines using Tekton.

Slidedeck presented at http://devternity.com/ around MongoDB internals. We review the usage patterns of MongoDB, the different storage engines and persistency models as well has the definition of documents and general data structures.

The document provides an overview of Kubernetes concepts and architecture. It begins with an introduction to containers and microservices architecture. It then discusses what Kubernetes is and why organizations should use it. The remainder of the document outlines Kubernetes components, nodes, development processes, networking, and security measures. It provides descriptions and diagrams explaining key aspects of Kubernetes such as architecture, components like Kubelet and Kubectl, node types, and networking models.

Ansible Automation can be used to deliver a high-level introduction of Red Hat Ansible Automation. This deck contains speaker notes and can be used to start discussions with customers. It provides a technical overview but not a deep dive. Follow-on discussions would leverage Red Hat Ansible Automation technical materials.

** Kubernetes Certification Training: https://www.edureka.co/kubernetes-certification ** This Edureka tutorial on "Kubernetes Architecture" will give you an introduction to popular DevOps tool - Kubernetes, and will deep dive into Kubernetes Architecture and its working. The following topics are covered in this training session: 1. What is Kubernetes 2. Features of Kubernetes 3. Kubernetes Architecture and Its Components 4. Components of Master Node and Worker Node 5. ETCD 6. Network Setup Requirements ​DevOps Tutorial Blog Series: https://goo.gl/P0zAfF

This document provides an overview of Docker Swarm and how to set up and use a Docker Swarm cluster. It discusses key Swarm concepts, initializing a cluster, adding nodes, deploying services, rolling updates, draining nodes, failure scenarios, and the Raft consensus algorithm used for leader election in Swarm mode. The document walks through examples of creating a Swarm, adding nodes, deploying a service, inspecting and scaling services, rolling updates, and draining nodes. It also covers failure scenarios for nodes and managers and how the Swarm handles them.

A comprehensive walkthrough of how to manage infrastructure-as-code using Terraform. This presentation includes an introduction to Terraform, a discussion of how to manage Terraform state, how to use Terraform modules, an overview of best practices (e.g. isolation, versioning, loops, if-statements), and a list of gotchas to look out for. For a written and more in-depth version of this presentation, check out the "Comprehensive Guide to Terraform" blog post series: https://blog.gruntwork.io/a-comprehensive-guide-to-terraform-b3d32832baca

Kubernetes is an open-source system for managing containerized applications and services. It includes a master node that runs control plane components like the API server, scheduler, and controller manager. Worker nodes run the kubelet service and pods. Pods are the basic building blocks that can contain one or more containers. Labels are used to identify and select pods. Replication controllers ensure a specified number of pod replicas are running. Services define a logical set of pods and associated policy for access. They are exposed via cluster IP addresses or externally using load balancers.

The document provides an overview of Terraform and discusses why it was chosen over other infrastructure as code tools. It outlines an agenda covering Terraform installation, configuration, and use of data sources and resources to build example infrastructure including a VCN, internet gateway, subnets, and how to taint and destroy resources. The live demo then walks through setting up Terraform and using it to provision example OCI resources.

In the era of Microservices, Cloud Computing and Serverless architecture, it’s useful to understand Kubernetes and learn how to use it. However, the official Kubernetes documentation can be hard to decipher, especially for newcomers. In this book, I will present a simplified view of Kubernetes and give examples of how to use it for deploying microservices using different cloud providers, including Azure, Amazon, Google Cloud and even IBM.