The Zen of High Performance Messaging with NATS

NATS 2.0 is the largest feature release since the original code base for the server was released. NATS 2.0 was created to allow a new way of thinking about NATS as a shared utility, solving problems at scale through distributed security, multi-tenancy, larger networks, and secure sharing of data. In this presentation, Derek discusses the motives behind the newest features of NATS and how to leverage them to reduce total cost of ownership, decrease time to value, support extremely large scale deployments, and decentralize security to create secure and easy to manage modern distributed systems.

- Video Playlist: https://www.youtube.com/playlist?list=PLkgLtPJ7Lg3paDba9_z8m-VRGR88CFK67

Services and Streams are the cornerstones of any modern distributed architecture. Communications and observability of modern systems have become just as important as the deployment of the components themselves. In this talk maintainers of the NATS projectwill create a service using NATS as the communication technology. They will show how NATS allows a service application to utilize cutting edge security with the ability to scale up and down, across multiple Kubernetes clusters and cloud deployments. This will be completely observable, with no code changes from the demo code base to global deployment. NATS allows cutting edge modern systems to be built without the additional complexity of load balancers, proxies or sidecars. NATS allows radically easy yet secure deployments across multiple k8s clusters, in any cloud or on-premise environment.

Kafka as a streaming data platform is becoming the successor to traditional messaging systems such as RabbitMQ. Nevertheless, there are still some use cases where they could be a good fit. This one single slide tries to answer in a concise and unbiased way where to use Apache Kafka and where to use RabbitMQ. Your comments and feedback are much appreciated.

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)

Prometheus is an open-source monitoring system that collects metrics from configured targets, stores time series data, and allows users to query and alert on that data. It is designed for dynamic cloud environments and has built-in service discovery integration. Core features include simplicity, efficiency, a dimensional data model, the PromQL query language, and service discovery.

Nginx pronounced as "Engine X" is an open source high performance web and reverse proxy server which supports protocols like HTTP, HTTPS, SMTP, IMAP. It can also be used for load balancing and HTTP caching.

Apache Kafka is a distributed publish-subscribe messaging system that allows both publishing and subscribing to streams of records. It uses a distributed commit log that provides low latency and high throughput for handling real-time data feeds. Key features include persistence, replication, partitioning, and clustering.

This document provides an overview of installing and configuring the NGINX web server. It discusses installing NGINX from official repositories or from source on Linux systems like Ubuntu, Debian, CentOS and Red Hat. It also covers verifying the installation, basic configurations for web serving, reverse proxying, load balancing and caching. The document discusses modifications that can be made to the main nginx.conf file to improve performance and reliability. It also covers monitoring NGINX using status pages and logs, and summarizes key documentation resources.

Introduction to memcached, a caching service designed for optimizing performance and scaling in the web stack, seen from perspective of MySQL/PHP users. Given for 2nd year students of professional bachelor in ICT at Kaho St. Lieven, Gent.

Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery called pods. Kubernetes can manage pods across a cluster of machines, providing scheduling, deployment, scaling, load balancing, volume mounting and networking. It is widely used by companies like Google, CERN and in large projects like processing images and analyzing particle interactions. Kubernetes is portable, can span multiple cloud providers, and continues growing to support new workloads and use cases.

A basic introductory slide set on Kubernetes: What does Kubernetes do, what does Kubernetes not do, which terms are used (Containers, Pods, Services, Replica Sets, Deployments, etc...) and how basic interaction with a Kubernetes cluster is done.

Building Cloud-Native App Series - Part 9 of 11 Microservices Architecture Series CI-CD Jenkins, GitHub Actions, Tekton

This document discusses NATS, an open-source messaging system. It provides an overview of NATS' features including performance, simplicity, security, availability and support for cloud-native applications. It also summarizes the growth of the NATS community and ecosystem. Key features of the latest NATS 2 releases are highlighted such as JetStream for streaming and messaging, subject mapping capabilities and an administrative CLI tool. Finally, the document outlines different architectural patterns supported by NATS including single server, clustered, superclustered and edge-focused deployments.

Containers are everywhere. But what exactly is a container? What are they made from? What's the difference between LXC, butts-nspawn, Docker, and the other container systems out there? And why should we bother about specific filesystems? In this talk, Jérôme will show the individual roles and behaviors of the components making up a container: namespaces, control groups, and copy-on-write systems. Then, he will use them to assemble a container from scratch, and highlight the differences (and likelinesses) with existing container systems.

HAProxy is a free, open-source load balancer and reverse proxy that is fast, reliable and offers high availability. It can be used to load balance HTTP and TCP-based applications. Some key features include out-of-band health checks, hot reconfiguration, and multiple load balancing algorithms. Many large companies use HAProxy to load balance their websites and applications. It runs on Linux, BSD, and Solaris and can be used to load balance applications across servers on-premises or in the cloud.

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.

Waldemar Quevedo, Senior Software Engineer at Apcera NATS is a high-performance messaging system optimized for simplicity, reliability and low latency which can be a lightweight solution for the internal communication of your distributed system. In this talk, we will cover its core feature set as well as how to develop and assemble NATS-based microservices using the latest Docker tooling such as Compose and Swarm mode. You can learn more about NATS at http://www.nats.io

NATS is a high-performance messaging system that is lightweight, simple to use, and scalable. It provides features like request-reply patterns, subject-based routing with wildcards, distribution queues for load balancing, clustering for high availability, and auto discovery of cluster topology. The NATS Docker image is small and lightweight, making it easy to deploy NATS in Docker containers. Examples demonstrated how to run a single NATS node or create a clustered NATS setup using Docker Compose or Docker Swarm for development and production environments.

The majority of middleware and messaging systems in use were built in a time that did not have the concept of scale and real-time data that developers operate in today. With the rise of Cloud Native and Microservices architectures as a design principle and the emphasis on simplicity, speed, and flexibility that come with it, developers need a messaging protocol to match. Enter NATS. NATS is a remarkably lightweight messaging protocol, and extremely flexible and resilient. It is just a few MB in size, and can scale to publish tens of millions of message from a single server.

NATS is a simple, high performance open source messaging system for cloud native applications. It provides a basic publish-subscribe messaging protocol along with durable message queues through NATS Streaming. NATS is lightweight, fast, and scalable. It handles over 11 million messages per second and provides predictable performance and resilience through features like cluster support and protection against slow consumers.

NATS is a simple, high performance open source messaging system for cloud native applications. It provides a basic publish-subscribe messaging protocol along with multiple language clients. NATS Streaming builds upon NATS to provide additional capabilities like at-least-once delivery and durability. Both projects are widely used in production and have large, active developer communities supporting a variety of client libraries.

NATS is a high performance messaging server and also one of the latest additions to the CNCF. In this talk, we will make a deep dive to the internals of the project covering its design, protocol, clustering implementation, security and authorization features that make it an attractive solution for microservices and low latency applications.

What is WAP? Why bother? Router setup Setting up NIC Setting up bridge Security Firewall DHCP DNS Resources

AWSKRUG 판교 2019.06.05 Kubernetes Internals (Kubernetes 해부하기) - Understanding Kubernetes Components -- Understanding Kube-APIServer -- Understanding Kube-Scheduler -- Understanding Kube-Controller-Manager -- Understanding Kube-Proxy -- Understanding DNS - Understanding Kubernetes Networking -- Understanding Pod Networking -- Understanding Service Networking

The document discusses using Docker containers to enable a solar panel monitoring application to support multiple service providers. It describes setting up Docker containers for the TCP data ingestion server and Flask admin application for each provider, linking them to a Cassandra database container. Each provider's instances use a unique Cassandra keyspace to isolate their data. Automating this process using Docker Python APIs allows easily scaling to support additional providers. Lessons learned include Docker providing fast isolation without code changes, and needing improved Docker orchestration and Dockerfile support for multiple commands.

VyOS now supports VXLAN interfaces which allow multiple L2 segments to be multiplexed over a single physical network. VXLAN uses encapsulation to transport Ethernet frames over IP. The VNI field in VXLAN headers maps frames to different L2 segments. VyOS VXLAN interfaces can be configured and used like physical interfaces for routing, bridging, and protocols like OSPF. However, attributes like the VNI and multicast group cannot be changed after interface creation without deleting and recreating the interface.

Of the variedtypes of IPC, sockets arout and awaythe foremostcommon. On any given platform, there arprobably to be differenttypes of IPC that arquicker, except for cross-platform communication, sockets arregardingthe sole game in city. They were fancied in Berkeley as a part of the BSD flavor of UNIX operating system. They unfold like inferno withthe web. With sensible reason — the mixture of sockets with INET makes reprehensionabsolute machines round the world incrediblystraightforward (at least compared to different schemes). Creating a Socket Roughly speaking, once you clicked on the link that brought you to the current page, your browser did one thingjust like the following: #create Associate in Nursing INET, STREAMing socket s = socket.socket( socket.AF_INET, socket.SOCK_STREAM) #now connect withthe net server on port eighty # - the traditionalcommunications protocol port s.connect((\"www.mcmillan-inc.com\", 80)) When the connect completes, the socket s may beaccustomedsend outa call for participation for the text of the page. a similar socket canbrowse the reply, so be destroyed. That’s right, destroyed. shopper sockets arunremarkablysolely used for one exchange (or atiny low set of sequent exchanges). What happens within thenet server may be a bit additionalcomplicated. First, the net server creates a “server socket”: #create Associate in Nursing INET, STREAMing socket serversocket = socket.socket( socket.AF_INET, socket.SOCK_STREAM) #bind the socket to a public host, # and a widely known port serversocket.bind((socket.gethostname(), 80)) #become a server socket serversocket.listen(5) A couple things to notice: we tend to used socket.gethostname() in order that the socket would be visible to the surface world. If we tend to had used s.bind((\'localhost\', 80)) or s.bind((\'127.0.0.1\', 80)) we\'d still have a “server” socket, however one that was solely visible insidea similar machine. s.bind((\'\', 80)) specifies that the socket isaccessible by any address the machine happens to own. A second issue to note: low range ports arsometimes reserved for “well known” services (HTTP, SNMP etc). If you’re kidding, use a pleasant high range (4 digits). Finally, the argument to pay attention tells the socket library that we wish it to queue as several as five connect requests (the traditional max) before refusing outside connections. If the remainder of the code is written properly,that ought to be masses. Now that we\'ve got a “server” socket, listening on port eighty, we will enter the mainloop of the net server: while 1: #accept connections from outside (clientsocket, address) = serversocket.accept() #now do one thing with the clientsocket #in this case, we\'ll fakethis can be a rib server ct = client_thread(clientsocket) ct.run() There’s trulythree general ways thatduring which this loop might work - dispatching a thread to handle clientsocket, producea replacementmethod to handle clientsocket, or structure this app to use non-blocking socke.

Razor is an open source provisioning tool that was originally developed by EMC and Puppet Labs. It can discover hardware, select images to deploy, and provision nodes using model-based provisioning. The demo showed setting up a Razor appliance, adding images, models, policies, and brokers. It then deployed an OpenStack all-in-one environment to a new VM using Razor and Chef. The OpenStack cookbook walkthrough explained the roles, environments, and cookbooks used to deploy and configure OpenStack components using Chef.

NATS is a high performance messaging system that was originally created as part of CloudFoundry but since then it has grown its own ecosystem and community around it, and also recently included as part of the Cloud Native Computing Foundation (CNCF). Similar to Ruby, one of the goals from NATS is to make building messaging based applications as simple and reliable as possible. In this talk, we will cover why NATS might be interesting to consider for your next project and share some of the lessons learned so far from maintaining the Ruby clients from NATS.

The NATS Go client is the canonical implementation of a client for the NATS Messaging System, and from the beginning it was designed for high performance. In this talk, we will cover its APIs and dissect how the client internal engine works to get the most out of Go to achieve maximum throughput.

Talk by Wally Quevedo at GopherCon 2017 on writing networking clients in Go, based on our experience with Go on the NATS team. The full talk is available on YouTube: https://www.youtube.com/watch?v=QoetRI2KHvc

NATS is a mature, high-performance publish/subscribe messaging system that is a hosted project of the Cloud Native Computing Foundation (CNCF). NATS has a goal of connecting services in the simplest, most secure and reliable way possible, and cloud native applications built using NATS inherit much of that simplicity and become easier to operate, benefiting from the performance and resiliency characteristics from the server. Waldemar Quevedo walks you through how to build an application using NATS and how to set up, deploy, and operate a NATS cluster on top of Kubernetes. You’ll learn core NATS features like publish/subscribe, load-balanced queue subscribers, request/response, and handing connection events and examine NATS cluster setup and client application failover, graceful NATS server shutdown and NATS server configuration reload, and graceful client shutdown with NATS Drain mode. You’ll also learn how to secure a NATS cluster with Transport Layer Security (TLS) and secure streams and services with permissions, account isolation and NATS keys (NKEYS) (ed25519 based), and decentralized permissions via JSON Web Tokens (JWTs).

Overview of networking requirements of Kubernetes cluster, Service Discovery using kubeDNS, Load Balancing, Network Plugins and more extensions.

Presentation of a few mechanisms that can help to automate the bootstrap process in IoT environment. This is the summary of my work done during an 8 weeks internship at red hat

The document discusses exploiting vulnerabilities in wireless routers that have USB ports for sharing storage and printers. It describes conducting attacks against a D-Link wireless router to steal data, delete data, and implant backdoors by accessing the shared USB flash drive and printer through the router's vulnerable SharePort technology. The attacker scans the wireless network, identifies the router and connected USB devices, and then explores ways to hack into the shared resources and conduct unauthorized activities.

Presented by: Antonin Bas & Jianjun Shen, VMware Presented at All Things Open 2020 Abstract: For the non-initiated, Kubernetes (K8s) networking can be a bit like dark magic. Many clusters have requirements beyond what the default network plugin, kubenet, can provide and require the use of a third-party Container Network Interface (CNI) plugin. But what exactly is the role of these plugins, how do they differ from each other and how does the choice of one affect your cluster? In this talk, Antonin and Jianjun will describe how a group of developers was able to build a CNI plugin - an open source project called Antrea - from scratch and bring it to production in a matter of months. This velocity was achieved by leveraging existing open-source technologies extensively: Open vSwitch, a well-established programmable virtual switch for the data plane, and the K8s libraries for the control plane. Antonin and Jianjun will explain the responsibilities of a CNI plugin in the context of K8s and will walk the audience through the steps required to create one. They will show how Antrea integrates with the rest of the cloud-native ecosystem (e.g. dashboards such as Octant and Prometheus) to provide insight into the network and ensure that K8s networking is not just dark magic anymore.

Learn how simple it can be to build adaptive and scalable cloud-to-edge systems. Powered By OpenSource NATS.io

This document discusses serverless computing with Kubernetes using PLONK (Prometheus, Linux/Linkerd, OpenFaaS, NATS, and Kubernetes) and OpenFaaS. It introduces PLONK and its components, describes how to install the PLONK stack on Kubernetes with or without TLS, explains how to create asynchronous functions with NATS, and discusses future work integrating NATS further for event-driven architectures using queues and JetStream.

Synadia/NATS Team Presentations for NATS Connect Live on April 16, 2020. To see the recorded event, go to our NATS YouTube Channel https://youtube.com/c/nats_messaging

SwimOS is an Apache 2.0 licensed runtime platform that makes it easy to build stateful, distributed, data-driven applications. SwimOS is a stateful real-time stream processor that auto-scales apps from real-world event data, building a stateful graph from the data on-the-fly. SwimOS subscribes to event streams from real-world things, creates a stateful web agent for each data source, and links related agents to form an intelligent stream processing graph where the agents continuously compute on incoming data and share insights in real-time.

Dwayne Bradley is a technology development manager at Duke Energy who is working on new approaches to the power grid. He discusses how Duke Energy is adopting new standards like OpenFMB and using message-oriented middleware like NATS to enable distributed intelligence on the grid. This includes deploying OpenFMB nodes with NATS at a microgrid test site in Mount Holly, North Carolina to allow different components like solar panels and batteries to communicate and exchange operational schedules.

This document discusses using bearer JWT tokens for authorization in distributed systems without a central authority. It motivates this approach by describing requirements for decentralization, privacy, and reducing complexity. It then explains how bearer tokens work by containing a signature, claims about permissions, and how verification is done to apply permissions to ephemeral users. Finally it discusses some caveats, examples of usage, and resources for further information.

The document discusses using NATS as a service mesh. It describes how NATS can provide service discovery, security, metrics, tracing, load balancing and routing control similarly to other service meshes. While NATS can inherently perform some service mesh functions through pub/sub and request/reply patterns, it may not replace a full-featured service mesh like Istio and additional capabilities like circuit breaking would need to be implemented. Other resources are recommended to learn more about building a NATS service mesh and its capabilities.

Resgate.io is a platform for building REST and real-time APIs using NATS that provides features like real-time access, access control, caching of queries that update in real time, and an active community. It was presented by Samuel Jirénius of Rescore who provided contact information and pointed to the resgate.io website for more information.

NATS is used to build a scalable, location-independent, and resilient augmented reality platform. NATS topics and subjects are used to distribute messages about avatars, props, and world state changes across devices and locations. Messages are serialized using MessagePack for fast serialization and to define the protocol. NATS is integrated into Unity using a services class to connect and publish/subscribe to handle messages asynchronously.

A brief history of the NATS project, where it is today, how it fits into cloud-native architecture, and where it's going in the near future.

Decoupling Distributed Systems from IP Networks Take a trip with Derek Collison into the history of distributed systems, the good and the bad, and now how to move forward.

Soam Vasani of Platform9 shares how Fission.io makes use of NATS and Kubernetes for Serverless workflows

Presentation from a talk given by Diogo Monteiro (@diogogmt) at a recent NATS Meetup in Toronto. The talk covered why NATS is a simple, fast method for microservices communication, and provides some latency benchmarks from Diogo's design of a solution using NATS. You can learn more about NATS at http://www.nats.io

This talk is by Andy Stone, VP Engineering at Bridgevine - it explains how Bridgevine use NATS for distributed systems communication (and why).

NATS was created by Derek Collison, founder and CEO of Apcera, who has spent 20+ years designing, building, and using publish-subscribe messaging systems. Unlike traditional enterprise messaging systems, NATS has an always-on dial tone that does whatever it takes to remain available. Learn how end users are building modern, reliable and scalable cloud and distributed systems with NATS. Talk given by David Williams, Principal, Williams & Garcia You can learn more about NATS at http://www.nats.io

At the NATS June Meetup in Boulder, CO, Tyler Treat of Workiva gives and updated talk on how to embrace simplicity to solve complex infrastructure problems, and how shares more information on how Workiva uses NATS for microservices communication. You can learn more about NATS at http://www.nats.io

At the NATS June Meetup in Boulder, CO, Steven Osborne and Charlie Strawn of Workiva present the Actor Model concept their team are using, and some of the work they are doing to connect NATS and Akka. You can learn more about NATS at http://www.nats.io

NATS & Docker Meetup in Toronto - August 2016 Implementing Microservices with NATS, Diogo Monteiro -How Aytra uses NATS -Benefits of using NATS for inter service communication -Lessons learned adopting NATS -Overview of Houston NATS library -Demo of Aytra You can learn more about NATS at http://www.nats.io

Dennis Mårtensson is the CTO and co-founder of Greta, a Swedish startup that wants to change the way content is delivered on the internet. Greta has developed a technology for peer-to-peer content delivery over webRTC and are using NATS to create rapid webRTC signaling. You can learn more about NATS at http://www.nats.io. You can learn more about Greta at https://greta.io/

Clarifai (www.clarifai.com) is a machine learning company which aims to make artificial intelligence accessible to the entire world. Their platform allows users to tap into powerful machine learning algorithms while abstracting away the technical minutiae of how the algorithms work and the infrastructure scaling problems of building AI applications from scratch. Clarifai has moved to a highly available Kubernetes (www.kubernetes.io) based architecture, which also required a simple, scalable messaging layer. NATS (www.nats.io) was selected by the Clarifai team for a variety of reasons. The video of the talk that accompanies these slides is available at: https://www.youtube.com/watch?v=fJ20plWSBzw&feature=youtu.be

AWS Cloud Practitioner Essentials (Second Edition) (Arabic) AWS Security .pdf

Hironori Washizaki, "Charting a Course for Equity: Strategies for Overcoming Challenges and Promoting Inclusion in the Metaverse", IEEE COMPSAC 2024 D&I Panel, 2024.

Unlock the full potential of your data by effortlessly migrating from PostgreSQL to Snowflake, the leading cloud data warehouse. This comprehensive guide presents an easy-to-follow 8-step process using Estuary Flow, an open-source data operations platform designed to simplify data pipelines. Discover how to seamlessly transfer your PostgreSQL data to Snowflake, leveraging Estuary Flow's intuitive interface and powerful real-time replication capabilities. Harness the power of both platforms to create a robust data ecosystem that drives business intelligence, analytics, and data-driven decision-making. Key Takeaways: 1. Effortless Migration: Learn how to migrate your PostgreSQL data to Snowflake in 8 simple steps, even with limited technical expertise. 2. Real-Time Insights: Achieve near-instantaneous data syncing for up-to-the-minute analytics and reporting. 3. Cost-Effective Solution: Lower your total cost of ownership (TCO) with Estuary Flow's efficient and scalable architecture. 4. Seamless Integration: Combine the strengths of PostgreSQL's transactional power with Snowflake's cloud-native scalability and data warehousing features. Don't miss out on this opportunity to unlock the full potential of your data. Read & Download this comprehensive guide now and embark on a seamless data journey from PostgreSQL to Snowflake with Estuary Flow! Try it Free: https://dashboard.estuary.dev/register

Bitcoin heist prediction using ML

Browse the slides from our recent webinar hosted by Divine Odazie, our tech evangelist.

Our world runs on software. It governs all major aspects of our life. It is an enabler for research and innovation, and is critical for business competitivity. Traditional software engineering techniques have achieved high effectiveness, but still may fall short on delivering software at the accelerated pace and with the increasing quality that future scenarios will require. To attack this issue, some software paradigms raise the automation of software development via higher levels of abstraction through domain-specific languages (e.g., in model-driven engineering) and empowering non-professional developers with the possibility to build their own software (e.g., in low-code development approaches). In a software-demanding world, this is an attractive possibility, and perhaps -- paraphrasing Andy Warhol -- "in the future, everyone will be a developer for 15 minutes". However, to make this possible, methods are required to tweak languages to their context of use (crucial given the diversity of backgrounds and purposes), and the assistance to developers throughout the development process (especially critical for non-professionals). In this keynote talk at ICSOFT'2024 I presented enabling techniques for this vision, supporting the creation of families of domain-specific languages, their adaptation to the usage context; and the augmentation of low-code environments with assistants and recommender systems to guide developers (professional or not) in the development process.

dachnug51 | HCL Sametime 12 as a Software Appliance | Erik Schwalb

Enhance the top 9 user pain points with effective visual design elements to improve user experience & satisfaction. Learn the best design strategies

This is the guide on how you can use google's ML kit for machine learning applications on mobile.