Kubernates

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This document discusses containers and Kubernetes. It explains that containers isolate applications and their dependencies to run anywhere. Containers share the host system's kernel, unlike virtual machines. Kubernetes is an open-source tool that provides automated management of containers at scale through desired state configuration and coordination of containerized applications. The document also mentions playing an orchestra with Kubernetes and getting containers to work on servers.

Software

1.Containers…Why, How and What?
2.Ikram…You didn’t tell me about that
3.Let’s play the orchestra…Kubernetes
4.Time for hacking
Our plan

It works on my machine,
It doesn’t work on the server
☹️

Isolate an application and its dependencies
into a self-contained unit that can run
anywhere.

We are building our application environment

The image wrap everything the app need to run
OS, app code, runtime, system tools, system libraries…

The one big difference between containers
and VMs is that containers share the host
system’s kernel with other containers.

You need 5 instances of your app running at
any given time to satisfy your clients

2 am engineer…
Is Needed to fix the problem

Automated arrangement,
coordination and management

This document introduces 5 cool ways to get started with cloud native development: 1) Okteto Stacks for developing with docker-compose in the cloud native world, 2) Okteto Push to push code to Kubernetes in seconds, 3) VS Code Remote for remote development environments in Kubernetes from VS Code, 4) Okteto Actions to build, preview, and ship cloud native apps from Github, and 5) OpenFaaS + Okteto for the easiest way to develop and debug serverless functions. It provides demo links and invites stars, feedback, issues and pull requests on Github.

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Introduction to Kubernetes

V2STech Solutions Private limited

Kubernetes is a container orchestration tool that automates the deployment, scaling, and management of containers across clusters of hosts. It monitors containers, performs automated scaling based on load, and restarts containers if they fail, reducing the need for manual intervention. Kubernetes can manage containers distributed across multiple nodes, making it useful for microservices applications. It provides features like rolling updates, load balancing, health checks, and integrates with tools for logging and monitoring. Kubernetes can be installed in different ways including Minikube for local testing, kubeadm for production clusters, and managed offerings from Google, AWS, and Azure.

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SmartWave

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They provide the workload isolation and security advantages of VMs. but at the same time maintain the speed of deployment and usability of containers.by using kata containers, instead of namespace, small virtual machines are created on the kernel and be strongly isolated. The technology of Kata Containers is based on KVM hypervisor. That’s why the level of isolation is equivalent to typical hypervisors. This session will focus on a live production phase when choosing kata instead of docker, and why they are preferable Although containers provides software-level isolation of resources, the kernel needs to be shared. That’s why the isolation level in terms of security is not so high when compared with hypervisors.This learns to shift from Docker as the de facto standard to Kata containers and learn how to obtain higherl level of security

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How GenAI Can Improve Supplier Performance Management.pdf

Zycus

Data Collection and Analysis with GenAI enables organizations to gather, analyze, and visualize vast amounts of supplier data, identifying key performance indicators and trends. Predictive analytics forecast future supplier performance, mitigating risks and seizing opportunities. Supplier segmentation allows for tailored management strategies, optimizing resource allocation. Automated scorecards and reporting provide real-time insights, enhancing transparency and tracking progress. Collaboration is fostered through GenAI-powered platforms, driving continuous improvement. NLP analyzes unstructured feedback, uncovering deeper insights into supplier relationships. Simulation and scenario planning tools anticipate supply chain disruptions, supporting informed decision-making. Integration with existing systems enhances data accuracy and consistency. McKinsey estimates GenAI could deliver $2.6 trillion to $4.4 trillion in economic benefits annually across industries, revolutionizing procurement processes and delivering significant ROI.

Why Apache Kafka Clusters Are Like Galaxies (And Other Cosmic Kafka Quandarie...

Paul Brebner

Closing talk for the Performance Engineering track at Community Over Code EU (Bratislava, Slovakia, June 5 2024) https://eu.communityovercode.org/sessions/2024/why-apache-kafka-clusters-are-like-galaxies-and-other-cosmic-kafka-quandaries-explored/ Instaclustr (now part of NetApp) manages 100s of Apache Kafka clusters of many different sizes, for a variety of use cases and customers. For the last 7 years I’ve been focused outwardly on exploring Kafka application development challenges, but recently I decided to look inward and see what I could discover about the performance, scalability and resource characteristics of the Kafka clusters themselves. Using a suite of Performance Engineering techniques, I will reveal some surprising discoveries about cosmic Kafka mysteries in our data centres, related to: cluster sizes and distribution (using Zipf’s Law), horizontal vs. vertical scalability, and predicting Kafka performance using metrics, modelling and regression techniques. These insights are relevant to Kafka developers and operators.

The Rising Future of CPaaS in the Middle East 2024

Yara Milbes