When you build a serverless app, you either tie yourself to a cloud provider, or you end up building your own serverless stack. Knative provides a better choice. Knative extends Kubernetes to provide a set of middleware components (build, serving, events) for modern, source-centric, and container-based apps that can run anywhere. In this talk, we’ll see how we can use Knative primitives to build a serverless app that utilizes the Machine Learning magic of the cloud.
This document summarizes endtest.dev, an end-to-end test automation service that allows users to easily add test coverage to web applications. Key features include a web-based test editor, cloud-based test running powered by Google, and integration with GitHub and GitLab. Tests are triggered manually or by schedulers and run on Google Cloud infrastructure, with results, logs and errors stored in cloud storage and databases. Social media and communication channels are provided to help users and track the project's progress since its December 2021 start date.
Resilient microservices with Kubernetes - Mete Atamel - Codemotion Rome 2017Codemotion
Creating a single microservice is a well-understood problem. Creating a cluster of load-balanced microservices that are resilient and self-healing is not so easy. Managing that cluster with rollouts and rollbacks, scaling individual services on demand, securely sharing secrets and configuration among services is even harder. Kubernetes, an open source container management system, can help with this. In this talk, we will learn what makes Kubernetes a great system for automating deployment, operations, and scaling of containerized applications.
Speaker: Scott Nichols
We will take a look at Knative Serving and Eventing through an escalating demo that will let us tour the capabilities of Knative. Serving provides a container based scale to zero, scale real big functionality; as well as rainbow deploys, auto-TLS, domain mappings, and various knobs to control concurrency and scale traits. Eventing provides a thin abstraction on top of traditional message brokers (think Kafka or AMQP) that lets you compose your application without considering the message persistence choices in the moment.
Introduction to Kubernetes and Google Container Engine (GKE)Opsta
Kubernetes is an open-source system for automating
deployment, scaling, and management of containerized
applications. This presentation will show you overview of Kubernetes concept and benefit with Google Container Engineer (GKE)
GDG DevFest Bangkok 2017 at Ananda UrbanTech FYI Center on October 7, 2017
See Facebook Live here
https://www.facebook.com/gamez.always/videos/10204052467627401/
Take the Fastest Path to Node.Js Application Development with Bitnami & AWS L...Bitnami
Looking for the fastest way to create Node.js development environments? Not sure if Node.js is right for you? With one-click solutions like AWS Lightsail and Bitnami's ready-to-run Node.js application, exploring the fastest growing development environment has never been easier.
Node.js has become a preferred development stack for many developers internationally. Bitnami applications and AWS Lightsail make creating and managing your Node.js projects easy and cost-efficient. Join Bitnami and our featured speakers from The Node.js Foundation and AWS Lightsail as we showcase why developers continue to use Node.js, what projects they are using Node.js for, and how Bitnami's Node.js application on AWS Lightsail can be the perfect end-to-end solution to easily and quickly bring your Node.js project to life.
Watch and learn:
- What Node.js is used for.
- How organizations use Node.js.
- Best practices and use cases for Node.js.
- What Amazon Lightsail is.
- The benefits of using Amazon Lightsail.
- How Bitnami and Amazon Lightsail are the best way to jump-start your Node app development.
- How to launch and manage your Node.js instance with Amazon Lightsail.
This document discusses Kubernetes event-driven autoscaling (KEDA) which allows deployments to scale based on external events rather than resource metrics. KEDA monitors event sources like queues and scales the workload by modifying the horizontal pod autoscaler. It supports scaling deployments from zero replicas and scaling batch jobs. Real-world examples of using KEDA include scaling game workload for events and processing messages from queues in batches.
Presented by: Peter Zaitsev
Presented at the All Things Open 2021
Raleigh, NC, USA
Raleigh Convention Center
Abstract: Cloud brought many innovations - one of them is inexpensive, scalable and sometimes secure Distributed Storage options. In this presentation we will talk about distributed storage Options modern clouds offers ranging from elastic block devices and object storage to sophisticated transactional data stores. We will discuss the benefits and new architecture options such distibuted storage systems enable as well as the challenges pitfals you need to be aware about.
This document discusses development tooling and provides an overview of the tools used at tado° for various stages of development including collaboration, development, build, test, deployment, production, and logging/monitoring. It recommends tools like Google Apps, Github, Jenkins, Gradle, AWS, Packer.io, Logstash, and CloudWatch and provides examples of how they are used at tado° for tasks like source control, continuous integration, deployment, and analytics. It also includes information about the presenter and an invitation to learn more about job opportunities at tado°.
Kubernetes and the Rise of Application-centric ComputingBitnami
There is an ongoing transition in server-side infrastructure as successive technology layers emerge, evolve and mature. This talk introduces the architecture and features of Kubernetes and describes how Kubernetes is the natural “next step” in this changing landscape. We look at the new challenges in a world where the building blocks are “applications” rather than “servers” and finish with a glimpse into future function-centric serverless frameworks.
Kubernetes has many ways to scale your workloads, most of what we hear about is scaling our cluster up with either with vm sets or autoscaling groups. There is another way, in this talk we will look at virtual kubelet. Virual Kubelet will allow us to talk to a cloud providers container as a service platform like ACI, fargate or ECI. We will deep dive into how you can scale your applications across virtual kubelet. One issue is the kubernetes service type has is scaling to zero due to the way routing to the pod happens if there is no pod for the service to route too. Scaling our applications to zero is just as important and scaling up. We will look at projects that integrate with the horizontal pod autoscaler that fix this issue. Allowing us to not only scale our applications up but as easily down to make our cluster truly elastic.
Kubernetes & Google Kubernetes Engine (GKE)Akash Agrawal
This document discusses Kubernetes and Google Kubernetes Engine (GKE). It begins with an agenda that covers understanding Kubernetes, containers, and GKE. It then discusses traditional application deployment versus containerized deployment. It defines Kubernetes and containers, explaining how Kubernetes is a container orchestration system that handles scheduling, scaling, self-healing, and other functions. The document outlines Kubernetes concepts like clusters, pods, services, and controllers. It describes GKE as a managed Kubernetes service on Google Cloud that provides auto-scaling, integration with Google Cloud services, and other features.
This document discusses Knative, an open-source project that extends Kubernetes to provide serverless capabilities. It provides middleware components like Build, Eventing, and Serving that enable modern application development. Knative allows running serverless workloads on Kubernetes, extends Kubernetes in a native way using existing skills and tools, and provides higher level primitives that combine Kubernetes operations. Installing Knative makes Kubernetes a more complete platform by adding capabilities like serverless, building, event streams, traffic routing, and integration with Istio. Demos are provided of Knative Serving, Build, Eventing, and blue/green deployments.
Tu non puoi passare! Policy compliance con OPA Gatekeeper | Niccolò RaspaKCDItaly
Per una buona gestione di un cluster Kubernetes in contesti di produzione è necessaria l’introduzione di policy per validare le risorse create all’interno del cluster.
Kubeless is a Kubernetes-native serverless solution that allows deploying and managing serverless functions on Kubernetes. It uses custom resource definitions and a controller to create deployments, services, and ingress for functions. Kubeless supports instrumented runtimes with Prometheus client and provides a UI. Serverless Framework now supports deploying functions to Kubeless, allowing developers to write functions once and deploy them to multiple serverless platforms including AWS Lambda, Azure Functions, Google Cloud Functions, and Kubeless.
This document discusses continuous integration (CI) using Jenkins and Java EE. It defines CI as applying quality control through frequent small changes. The history and key principles of CI are described. Features of CI like automated builds, testing, and deployment are covered. The document then focuses on Jenkins, an open source CI server, its features, plugins, and how to set up CI pipelines using Jenkins with source control from Git and builds from Maven.
This document discusses Docker, DevAssistant, and how they can help with development workflows. It summarizes that Docker allows for containerization of applications and their dependencies to enable portable deployment. While Docker simplifies development in some ways, properly setting up related containers and services can be complex. DevAssistant aims to address this by providing plugins to automate common development tasks like initializing projects, installing dependencies, and configuring container-based environments. The document demonstrates how DevAssistant can help simplify using Docker for development. It concludes with information on a competition to earn a free beer by following instructions using DevAssistant.
Docker is a tool that allows applications to run in isolated containers to make them portable and consistent across environments. It provides benefits like easy developer onboarding, eliminating application conflicts, and consistent deployments. Docker tools include the Docker Engine, Docker Client, Docker Compose, and Docker Hub. Key concepts are images which are templates for containers, and containers which are where the code runs based on an image. The document outlines how to build custom images from Dockerfiles, communicate between containers using linking or networks, and deploy containers using Docker Compose or in the cloud.
This document provides an introduction and overview of Docker including:
- Docker allows packaging applications with dependencies to create standardized units for software development and deployment called containers.
- Key Docker concepts include images, which are templates for creating containers, and containers which are runtime instances of images that execute applications.
- Basic Docker commands are demonstrated for pulling images, running containers, building images from Dockerfiles, and pushing images to registries.
- Networking, volumes, and Docker Compose/stacks for defining and running multi-container applications are also introduced.
- The document introduces Docker, explaining that it provides standardized packaging for software and dependencies to isolate applications and share the same operating system kernel.
- Key aspects of Docker are discussed, including images which are layered and can be version controlled, containers which start much faster than virtual machines, and Dockerfiles which provide build instructions for images.
- The document demonstrates Docker's build, ship, and run workflow through examples of building a simple image and running a container, as well as using Docker Compose to run multi-container applications like WordPress. It also introduces Docker Swarm for clustering multiple Docker hosts.
Not leading edge but bleeding edge experience Dockerizing Domino server and running XPages applications. Lotus Notes applications run just fine as well.
In the future IBM will make standing up Domino servers more automated. We do have a configuration step that is manual once the server starts... but it is dockerized and replicates with on prem Domino Domain.
Introduction to Docker - Vellore Institute of TechnologyAjeet Singh Raina
- The document introduces Docker, including what problem it solves for software development workflows, its key concepts and terminology, and how to use Docker to build, ship, and run containers.
- It compares Docker containers to virtual machines and discusses Docker's build process using Dockerfiles and images composed of layers.
- Hands-on demos are provided for running a first Docker container, building an image with Dockerfile, and using Docker Compose to run multi-container apps.
- Later sections cover Docker Swarm for clustering multiple Docker hosts and running distributed apps across nodes, demonstrated through a Raspberry Pi example.
- Docker is a platform for building, shipping and running applications. It allows applications to be quickly assembled from components and eliminates discrepancies between development and production environments.
- Docker provides lightweight containers that allow applications to run in isolated environments called containers without running a full virtual machine. Containers are more portable and use resources more efficiently than virtual machines.
- Docker Swarm allows grouping Docker hosts together into a cluster where containers can be deployed across multiple hosts. It provides features like service discovery, load balancing, failure recovery and rolling updates without a single point of failure.
This document provides an overview of Docker for developers. It discusses why Docker is useful for building applications, including portability across machines, isolating dependencies, and creating development environments that match production. Benefits of Docker like lightweight containers, a unified build process with Dockerfiles, standardized images from Docker Hub, and fast container startup times are outlined. Some cons like only working on Linux and added complexity are noted. Using Docker with Vagrant for a portable development environment is presented. Key Docker CLI commands and Docker Compose for defining multi-container apps are covered. Tips for debugging running containers are provided.
- Docker allows isolating applications from their environment and packaging them with their dependencies to run consistently on any infrastructure.
- Docker for Windows uses Hyper-V to run a Linux VM for Docker containers. Windows Server containers run natively on Windows.
- Visual Studio 2017 integrates Docker tools to build, run, and debug .NET Core applications using Dockerfiles and docker-compose.
- Docker images can be deployed to cloud platforms like Azure App Service for Linux or container orchestration services like Kubernetes.
Dockerizing your java development environmentBuhake Sindi
This talk tries to eliminate the idea that developing enterprise Java applications is nightmarish to create, setup and run in a consistent server and workstation and also eliminate the idea that Java Enterprise is not really catching up to the idea of cloud computing.
This document provides an overview of Docker and microservices architecture. It begins with introducing the speaker and their experience with Docker. It then discusses the shift from monolithic to microservices architecture for building applications. Key advantages and disadvantages of monolithic and microservices approaches are outlined. The document dives into details of Docker, including what it is, how it works, and how it compares to virtual machines. Common Docker commands and concepts like images, containers, and Dockerfile are explained. Finally, the document demonstrates building and running Docker containers and microservices using Docker CLI, Docker Compose, and Docker Hub.
This document provides an overview of Docker and how it addresses challenges with traditional monolithic application architectures. It begins with introductions to Docker and microservices architecture. Key points include:
- Docker allows building applications from loosely coupled microservices that can be developed and scaled independently.
- Docker containers leverage resource isolation using process virtualization for improved efficiency over virtual machines.
- The Docker architecture includes images constructed from layered filesystem changes and containers running instances of images.
- Docker Compose and Dockerfiles help define and build multi-container applications and microservices.
This document provides an introduction to Docker. It discusses how Docker benefits both developers and operations staff by providing application isolation and portability. Key Docker concepts covered include images, containers, and features like swarm and routing mesh. The document also outlines some of the main benefits of Docker deployment such as cost savings, standardization, and rapid deployment. Some pros of Docker include consistency, ease of debugging, and community support, while cons include documentation gaps and performance issues on non-native environments.
Dockerize the World - presentation from Hradec Kralovedamovsky
This document provides an introduction and overview of Docker delivered in a presentation format. It includes:
1. An agenda that covers Docker introduction, demos, Docker in the cloud, IoT and Docker, and news from DockerCon conferences.
2. Background on the presenter and a poll asking who knows and uses Docker in production.
3. Explanations of what Docker is, how it works using Linux kernel features, and its motto of Build, Ship, Run.
4. Mention of links to the presenter's Docker demos and an open source project called Yowie.
DCSF 19 Docker Enterprise Platform and ArchitectureDocker, Inc.
Docker Enterprise is an enterprise container platform for developers and IT admins building and managing container applications. The platform includes integrated orchestration (Swarm and Kubernetes), advanced private image registry, and a centralized admin console to secure, troubleshoot, and manage containerized applications. This talk will focus on the Docker Enterprise technical architecture, key features and use cases it is designed to support. Key areas covered in this session:
Latest features and enhancements
Security and Compliance - how to ensure oversight and validate applications for different compliance regulations
Operational Insight - how to identify and troubleshoot issues in your container environment
Integrated Technology - the technologies are supported and can be run with Docker Enterprise
Policy-based Automation - how to scale container environments through automated policies
Docker is an open source tool that allows developers to package applications into containers to deliver software quickly. It solves problems with slow innovation, inconsistent environments ("works on my machine"), and high support costs by allowing developers to build once and run anywhere. Docker uses containers as a lightweight alternative to virtual machines, allowing applications and their dependencies to run reliably and be isolated from other containers and the underlying infrastructure. Key benefits of Docker include accelerated development, consistency across environments, increased security, easy scaling, and quick remediation of issues.
Enhancing Security with Multi-Factor Authentication in Privileged Access Mana...Bert Blevins
In the constantly evolving field of cybersecurity, ensuring robust protection for sensitive data and critical systems has never been more vital. As cyber threats grow more sophisticated, organizations continually seek innovative ways to bolster their defenses. One of the most effective tools in the security arsenal is Multi-Factor Authentication (MFA), particularly when integrated with Privileged Access Management (PAM).
Privileged Access Management encompasses the methods, procedures, and tools used to regulate and monitor access to privileged accounts within an organization. Users with privileged accounts possess elevated rights, enabling them to perform essential operations such as system configuration, access to sensitive data, and management of network infrastructure. However, these elevated privileges also pose a significant security risk if they fall into the wrong hands.
By combining MFA with PAM, organizations can significantly enhance their security posture. MFA adds an additional layer of verification, ensuring that even if privileged account credentials are compromised, unauthorized access can be thwarted. This integration of MFA and PAM provides a robust defense mechanism, protecting critical systems and sensitive data from increasingly sophisticated cyber threats.
Response & Safe AI at Summer School of AI at IIITHIIIT Hyderabad
Talk covering Guardrails , Jailbreak, What is an alignment problem? RLHF, EU AI Act, Machine & Graph unlearning, Bias, Inconsistency, Probing, Interpretability, Bias
A brand new catalog for the 2024 edition of IWISS. We have enriched our product range and have more innovations in electrician tools, plumbing tools, wire rope tools and banding tools. Let's explore together!
A vernier caliper is a precision instrument used to measure dimensions with high accuracy. It can measure internal and external dimensions, as well as depths.
Here is a detailed description of its parts and how to use it.
FD FAN.pdf forced draft fan for boiler operation and run its very important f...MDHabiburRhaman1
FD fan or forced draft fan, draws air from the atmosphere and forces it into the furnace through a preheater. These fans are located at the inlet of the boiler to push high pressure fresh air into combustion chamber, where it mixes with the fuel to produce positive pressure. and A forced draft fan (FD fan) is a fan that is used to push air into a boiler or other combustion chamber. It is located at the inlet of the boiler and creates a positive pressure in the combustion chamber, which helps to ensure that the fuel burns properly.
The working principle of a forced draft fan is based on the Bernoulli principle, which states that the pressure of a fluid decreases as its velocity increases. The fan blades rotate and impart momentum to the air, which causes the air to accelerate. This acceleration of the air creates a lower pressure at the outlet of the fan, which draws air in from the inlet.
The amount of air that is pushed into the boiler by the FD fan is determined by the fan’s capacity and the pressure differential between the inlet and outlet of the fan. The fan’s capacity is the amount of air that it can move per unit of time, and the pressure differential is the difference in pressure between the inlet and outlet of the fan.
The FD fan is an essential component of any boiler system. It helps to ensure that the fuel burns properly and that the boiler operates efficiently.
Here are some of the benefits of using a forced draft fan:Improved combustion efficiency: The FD fan helps to ensure that the fuel burns completely, which results in improved combustion efficiency.
Reduced emissions: The FD fan helps to reduce emissions by ensuring that the fuel burns completely.
Increased boiler capacity: The FD fan can increase the capacity of the boiler by providing more air for combustion.
Improved safety: The FD fan helps to improve safety by preventing the buildup of flammable gases in the boiler.
Forced Draft Fan ( Full form of FD Fan) is a type of fan supplying pressurized air to a system. In the case of a Steam Boiler Assembly, this FD fan is of great importance. The Forced Draft Fan (FD Fan) plays a crucial role in supplying the necessary combustion air to the steam boiler assembly, ensuring efficient and optimal combustion processes. Its pressurized airflow promotes the complete and controlled burning of fuel, enhancing the overall performance of the system.What is the FD fan in a boiler?
In a boiler system, the FD fan, or Forced Draft Fan, plays a crucial role in ensuring efficient combustion and proper air circulation within the boiler. Its primary function is to supply the combustion air needed for the combustion process.
The FD fan works by drawing in ambient air and then forcing it into the combustion chamber, creating the necessary air-fuel mixture for the combustion process. This controlled air supply ensures that the fuel burns efficiently, leading to optimal heat transfer and energy production.
In summary, the FD fan i
Understanding Cybersecurity Breaches: Causes, Consequences, and PreventionBert Blevins
Cybersecurity breaches are a growing threat in today’s interconnected digital landscape, affecting individuals, businesses, and governments alike. These breaches compromise sensitive information and erode trust in online services and systems. Understanding the causes, consequences, and prevention strategies of cybersecurity breaches is crucial to protect against these pervasive risks.
Cybersecurity breaches refer to unauthorized access, manipulation, or destruction of digital information or systems. They can occur through various means such as malware, phishing attacks, insider threats, and vulnerabilities in software or hardware. Once a breach happens, cybercriminals can exploit the compromised data for financial gain, espionage, or sabotage. Causes of breaches include software and hardware vulnerabilities, phishing attacks, insider threats, weak passwords, and a lack of security awareness.
The consequences of cybersecurity breaches are severe. Financial loss is a significant impact, as organizations face theft of funds, legal fees, and repair costs. Breaches also damage reputations, leading to a loss of trust among customers, partners, and stakeholders. Regulatory penalties are another consequence, with hefty fines imposed for non-compliance with data protection regulations. Intellectual property theft undermines innovation and competitiveness, while disruptions of critical services like healthcare and utilities impact public safety and well-being.
Best Practices for Password Rotation and Tools to Streamline the ProcessBert Blevins
Securing sensitive data is crucial for both individuals and enterprises in the digital era. Password rotation, or regularly changing passwords, has long been a standard security practice. Despite some debate over its effectiveness, password rotation remains an important part of comprehensive security strategies. This guide will explore best practices for password rotation and highlight tools to streamline the process.
The history of rotating passwords dates back to early computer security guidelines, which aimed to reduce the time attackers could exploit stolen credentials by frequently changing passwords. This practice helps mitigate risks associated with credential stuffing, password reuse, and prolonged exposure of compromised passwords. By regularly changing passwords, the time a compromised password can be used is limited, old passwords exposed in breaches are rendered invalid, and regulatory compliance is maintained. Furthermore, frequent changes encourage security awareness among users, reminding them to stay vigilant against phishing and other threats.
To streamline the process of password rotation, various tools and techniques can be employed. Automated password management solutions can schedule and enforce password changes, ensuring compliance with security policies. Additionally, password managers can securely store and generate complex passwords, making it easier for users to adhere to rotation practices without compromising convenience. Implementing multi-factor authentication (MFA) alongside password rotation can further enhance security by adding an extra layer of protection against unauthorized access. By adopting these best practices and utilizing appropriate tools, organizations and individuals can effectively strengthen their cybersecurity posture and safeguard sensitive information.
1. Dockerize Your Project!
Improve your project development workflow with
docker and docker-compose
git/twitter @imrenagi
Docker Community Leader, Indonesia
3. Outline
Docker Basic
What is Docker / What is Docker Not
Basic Docker Commands
Dockerfiles
Docker Compose
What is Docker Compose
Docker-compose.yml
Demo & Hands On
Develop multi-service app (tweet live
sentiment analytics)
Q&A
5. Docker containers are not VMs
● Easy connection to make
● Fundamentally different architectures
● Fundamentally different benefits
6. Some Docker Vocabularies
Docker Image
The basis of a Docker container. Represents a full application
Docker Container
The standard unit in which the application service resides and executes
Registry Service (Docker Hub or Docker Trusted Registry)
Cloud or server based storage and distribution service for your images
7. What is a container?
● Standardized packaging
for software and
dependencies
● Isolate apps from each
other
● Share the same OS kernel
● Works for all major Linux
distributions
8. Why dockerize your project?
● Best developer reason -> “it doesn’t work on my machine!”
● Reduce time for project setup in local development environment
● Make deployment to cloud platform (AWS, GCP, Azure) easy!
9. Dockerfile
● Instructions on how to
build a Docker image
● Looks very similar to
“native” commands
● Important to optimize
your Dockerfile
11. Docker compose is a tool for creating and managing
multi container applications
Docker Compose: Multi Container Applications
● Containers are all defined in a single file called docker-compose.yml
● Each container runs a particular component/service of your application. For
example:
○ Web frontend
○ User authentication
○ Payments gateway
○ Database
● Compose will spin up all of your containers in a single command
12. ● Build and run one container at a
time
● Manually connect container
together
● Must be careful with dependencies
and start up order
Docker Compose: Multi Container Applications
● Define multi container app in
compose.yml file
● Single command to deploy entire app
● Handle container dependencies
● Works with Docker Swarm, Networking,
Volumes
● Easy to migrate the application to
Kubernetes
16. Real-time twitter sentiment analytics
Requirements:
● Read live stream tweet from twitter stream API
● Determine the sentiment of a tweet (positive, negative, or neutral)
● Show the number of tweet based on its sentiment in frontend web application
via web browser
Context:
● Imagine we are working on a big company consists of several teams, in
where each small team is responsible to maintain a particular service
● Microservices??