The Mule agent is a plugin extension for a Mule runtime which exposes the Mule API. Using the Mule agent, you can monitor and control your Mule servers by calling APIs from external systems, and/or have Mule publish its own data to external systems.
This document discusses OpenShift Container Platform, a platform as a service (PaaS) that provides a full development and deployment platform for applications. It allows developers to easily manage application dependencies and development environments across basic infrastructure, public clouds, and production servers. OpenShift provides container orchestration using Kubernetes along with developer tools and a user experience to support DevOps practices like continuous integration/delivery.
Jenkins is an open source automation server written in Java. Jenkins helps to automate the non-human part of software development process, with continuous integration and facilitating technical aspects of continuous delivery. It is a server-based system that runs in servlet containers such as Apache Tomcat.
This document provides an overview of getting started with DevOps. It includes an agenda covering topics like DevOps frameworks, practices, and tooling. The DevOps framework section outlines the people, process, and technology aspects, including mindset, practices like pipelines and automation, and DevOps toolchains. It also discusses how to build a DevOps team and adoption plan. The overall document serves as an introduction to DevOps concepts, best practices, and provides guidance on implementing DevOps.
MuleSoft Deployment Strategies (RTF vs Hybrid vs CloudHub)Prashanth Kurimella
Differences between MuleSoft Deployment Strategies (RTF vs Hybrid vs CloudHub)
For additional information, read https://www.linkedin.com/pulse/mulesoft-deployment-strategies-rtf-vs-hybrid-cloudhub-kurimella/
Prometheus is an open-source monitoring system that collects metrics from configured targets, stores time-series data, and allows users to query and visualize the data. It works by scraping metrics over HTTP from applications and servers, storing the data in its time-series database, and providing a UI and query language to analyze the data. Prometheus is useful for monitoring system metrics like CPU usage and memory as well as application metrics like HTTP requests and errors.
Building Cloud-Native App Series - Part 11 of 11
Microservices Architecture Series
Service Mesh - Observability
- Zipkin
- Prometheus
- Grafana
- Kiali
Netflix uses Conductor, an open source microservices orchestrator, to manage complex content processing workflows involving ingestion, encoding, localization, and delivery. Conductor provides visibility, control, and reuse of tasks through a task queuing system and workflow definitions. It has scaled to process millions of workflow executions across Netflix's content platform using a stateless architecture with Dynomite for storage and Dyno-Queues for task distribution.
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
This document discusses OpenShift Container Platform, a platform as a service (PaaS) that provides a full development and deployment platform for applications. It allows developers to easily manage application dependencies and development environments across basic infrastructure, public clouds, and production servers. OpenShift provides container orchestration using Kubernetes along with developer tools and a user experience to support DevOps practices like continuous integration/delivery.
Jenkins is an open source automation server written in Java. Jenkins helps to automate the non-human part of software development process, with continuous integration and facilitating technical aspects of continuous delivery. It is a server-based system that runs in servlet containers such as Apache Tomcat.
This document provides an overview of getting started with DevOps. It includes an agenda covering topics like DevOps frameworks, practices, and tooling. The DevOps framework section outlines the people, process, and technology aspects, including mindset, practices like pipelines and automation, and DevOps toolchains. It also discusses how to build a DevOps team and adoption plan. The overall document serves as an introduction to DevOps concepts, best practices, and provides guidance on implementing DevOps.
MuleSoft Deployment Strategies (RTF vs Hybrid vs CloudHub)Prashanth Kurimella
Differences between MuleSoft Deployment Strategies (RTF vs Hybrid vs CloudHub)
For additional information, read https://www.linkedin.com/pulse/mulesoft-deployment-strategies-rtf-vs-hybrid-cloudhub-kurimella/
Prometheus is an open-source monitoring system that collects metrics from configured targets, stores time-series data, and allows users to query and visualize the data. It works by scraping metrics over HTTP from applications and servers, storing the data in its time-series database, and providing a UI and query language to analyze the data. Prometheus is useful for monitoring system metrics like CPU usage and memory as well as application metrics like HTTP requests and errors.
Building Cloud-Native App Series - Part 11 of 11
Microservices Architecture Series
Service Mesh - Observability
- Zipkin
- Prometheus
- Grafana
- Kiali
Netflix uses Conductor, an open source microservices orchestrator, to manage complex content processing workflows involving ingestion, encoding, localization, and delivery. Conductor provides visibility, control, and reuse of tasks through a task queuing system and workflow definitions. It has scaled to process millions of workflow executions across Netflix's content platform using a stateless architecture with Dynomite for storage and Dyno-Queues for task distribution.
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 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. ReplicaSets ensure that a specified number of pod replicas are running at any given time. Key components include Pods, Services for enabling network access to applications, and Deployments to update Pods and manage releases.
Khairul Zebua gave a presentation on DevOps, monitoring, and alerting tools. The presentation covered the benefits of adopting DevOps such as continuous delivery, less complexity, faster problem resolution, and increased innovation. It discussed using tools like Ansible, Consul, Prometheus, and Grafana to build monitoring systems and alerting. The presentation encouraged connecting with Khairul Zebua on LinkedIn and GitHub for further discussion.
OpenShift is a Platform-as-a-Service that provides development environments on demand using containers. It automates application lifecycles including build, deploy, and retirement. OpenShift uses containers to package applications and dependencies in a portable way. Red Hat addresses concerns around adopting containers at scale through OpenShift, which provides security, scalability, integration, management and certification capabilities. OpenShift runs on a user's choice of infrastructure and orchestrates applications across nodes using Kubernetes.
Microsoft recently released Azure DevOps, a set of services that help developers and IT ship software faster, and with higher quality. These services cover planning, source code, builds, deployments, and artifacts. One of the great things about Azure DevOps is that it works great for any app and on any platform regardless of frameworks.
In this session, I will provide a hands on workshop guiding you through getting started with Azure Pipelines to build your application. Using continuous integration and deployment processes, you will leave with clear understanding and skills to get your applications up and running quickly in Azure DevOps and see the full benefits that CI/CD can bring to your organization.
This document provides an introduction to MuleSoft, including information about the presenter, an overview of what MuleSoft is and its products, and a demonstration of Anypoint Studio. Key points covered include that MuleSoft is an integration platform owned by Salesforce, its products allow users to design, develop, test, deploy, manage, secure and reuse APIs through a visual interface, and its main products are Anypoint Platform and Anypoint Studio. The presentation concludes with references, community resources, and contact information for the presenter.
DevOps for Applications in Azure Databricks: Creating Continuous Integration ...Databricks
Working with our customers, developers and partners around the world, it's clear DevOps has become increasingly critical to a team's success. Continuous integration (CI) and continuous delivery (CD) which is part of DevOps, embody a culture, set of operating principles, and collection of practices that enable application development teams to deliver code changes more frequently and reliably. In this session, we will cover how you can automate your entire process from code commit to production using CI/CD pipelines in Azure DevOps for Azure Databricks applications. Using CI/CD practices, you can simplify, speed and improve your cloud development to deliver features to your customers as soon as they're ready.
Integrating with salesforce using platform eventsAmit Chaudhary
The document announces a Salesforce Apex Hours event to discuss integrating with Salesforce using Platform Events. The event will be held on May 19, 2018 and feature speakers Jigar Shah and Amit Chaudhary. They will cover the challenges of traditional point-to-point integrations, demonstrate how event-driven architecture and Platform Events provide a solution, and include a demo of building an order shipping application using Platform Events.
Prometheus: Monitoring by "Pravin Magdum" from "Crevise". The presentation was done at #doppa17 DevOps++ Global Summit 2017. All the copyrights are reserved with the author
This document discusses Java memory leaks. It provides an overview of Java memory management and the behaviors observed with memory leaks. It describes how to generate heap dumps and analyze them using tools like Eclipse Memory Analyzer to identify leaked objects and their referencing paths. Specifically, it outlines how to use MAT to find leak suspects, inspect objects' references, and view thread stacks to locate the root cause of memory leaks.
Blue-green deploys with Pulsar & Envoy in an event-driven microservice ecosys...StreamNative
The document discusses Toast's adoption and use of Apache Pulsar for asynchronous messaging in their microservices architecture. It describes how they built a "Pulsar Toggle" leveraging Envoy proxy to enable blue/green deployments of Pulsar consumers. The Pulsar Toggle allows consumers to be paused and resumed based on their status in the Envoy control plane, improving the reliability and usability of deploying changes to Pulsar-based services. Toast has seen increased adoption of Pulsar and benefits from its stability and scalability.
Observability, Distributed Tracing, and Open Source: The Missing PrimerVMware Tanzu
Open source tools like OpenTelemetry, OpenTracing, and W3C Trace Context are helping to standardize distributed tracing and observability. This allows developers to understand problems in microservices architectures by propagating unique trace IDs and collecting metrics and traces across services. While open source tools are useful for development and pre-production, commercial solutions are needed to handle production workloads at scale with additional features like access control and automated instrumentation. Standardization through open source is key to managing today's complexity in distributed systems.
Are you looking to automate your infrastructure but not sure where to start? View this presentation on ‘Getting started with Infrastructure as code’ to learn how to leverage IaC to deploy and manage resources on Azure. You will learn:
• Introduction to IaC
• Develop a simple IaC using Terraform
• Manage the deployed infrastructure using Terraform
View webinar recording at https://www.winwire.com/webinars
DevOps has established itself as an indispensable software development methodology and the DevOps market is expected to exceed $20 billion by 2026. The document discusses several trends expected to emerge in DevOps in 2023, including increased use of serverless computing, microservices architecture, low-code applications, infrastructure as code, DevSecOps, Kubernetes and GitOps, and integrating AI and ML into the software development lifecycle. Adopting these trends can help organizations achieve greater efficiency, cost savings, and accelerate software delivery.
This document provides an introduction to microservices. It begins by outlining the challenges of monolithic architecture such as long build/release cycles and difficulty scaling. It then introduces microservices as a way to decompose monolithic applications into independently deployable services. Key benefits of microservices include improved agility, scalability, and innovation. The document discusses microservice design principles like communicating over APIs, using the right tools for each service, securing services, and being a good citizen in the ecosystem. It provides examples of how to implement a restaurant microservice using AWS services like API Gateway, Lambda, DynamoDB and containers.
This document provides an overview of Red Hat's OpenShift Platform-as-a-Service (PaaS). OpenShift simplifies and automates the development, deployment and scaling of applications. It allows developers to focus on coding instead of managing infrastructure. OpenShift runs applications securely in isolated containers (gears) on top of Red Hat Enterprise Linux. Developers can use integrated tools or a web console to develop, build and deploy applications. OpenShift then automatically scales applications based on demand. The open source OpenShift Origin project allows organizations to run their own private PaaS or contribute to the community.
Lets talk about: Azure Kubernetes Service (AKS)Pedro Sousa
The document discusses the evolution of container technologies over time, including Kubernetes. It then summarizes several Azure services for containers including Azure Kubernetes Service (AKS), Azure Container Instances (ACI), and Web App for Containers. The remainder of the document focuses on AKS, providing an overview and roadmap for implementing the AKS solution on Azure.
The document provides an overview of the main components and architecture of the Mule Agent, which exposes the Mule ESB Java API as a service allowing external systems to manipulate and monitor Mule instances. The key components are the Mule Service for connecting to the Mule API, the Transport for handling communication, External Message Handlers for exposing the API and routing requests, and Internal Message Handlers for handling Mule notifications. Communication can be synchronous, asynchronous, or push-based. The architecture diagram shows how the components interact through the transport layer.
Mule ESB is a lightweight Java-based integration platform that allows developers to connect applications together through integration patterns like flow-based programming. It provides functionality for service creation and hosting, message routing, data transformation, and mediation between different technologies. Mule ESB uses a visual drag-and-drop interface called Mule Studio for low-code development of integration flows and assets. Key components include endpoints to connect to external systems, transformations to modify message formats, filters to route messages conditionally, and routers to control message flow. Mule applications are deployed to a Mule runtime server for execution.
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. ReplicaSets ensure that a specified number of pod replicas are running at any given time. Key components include Pods, Services for enabling network access to applications, and Deployments to update Pods and manage releases.
Khairul Zebua gave a presentation on DevOps, monitoring, and alerting tools. The presentation covered the benefits of adopting DevOps such as continuous delivery, less complexity, faster problem resolution, and increased innovation. It discussed using tools like Ansible, Consul, Prometheus, and Grafana to build monitoring systems and alerting. The presentation encouraged connecting with Khairul Zebua on LinkedIn and GitHub for further discussion.
OpenShift is a Platform-as-a-Service that provides development environments on demand using containers. It automates application lifecycles including build, deploy, and retirement. OpenShift uses containers to package applications and dependencies in a portable way. Red Hat addresses concerns around adopting containers at scale through OpenShift, which provides security, scalability, integration, management and certification capabilities. OpenShift runs on a user's choice of infrastructure and orchestrates applications across nodes using Kubernetes.
Microsoft recently released Azure DevOps, a set of services that help developers and IT ship software faster, and with higher quality. These services cover planning, source code, builds, deployments, and artifacts. One of the great things about Azure DevOps is that it works great for any app and on any platform regardless of frameworks.
In this session, I will provide a hands on workshop guiding you through getting started with Azure Pipelines to build your application. Using continuous integration and deployment processes, you will leave with clear understanding and skills to get your applications up and running quickly in Azure DevOps and see the full benefits that CI/CD can bring to your organization.
This document provides an introduction to MuleSoft, including information about the presenter, an overview of what MuleSoft is and its products, and a demonstration of Anypoint Studio. Key points covered include that MuleSoft is an integration platform owned by Salesforce, its products allow users to design, develop, test, deploy, manage, secure and reuse APIs through a visual interface, and its main products are Anypoint Platform and Anypoint Studio. The presentation concludes with references, community resources, and contact information for the presenter.
DevOps for Applications in Azure Databricks: Creating Continuous Integration ...Databricks
Working with our customers, developers and partners around the world, it's clear DevOps has become increasingly critical to a team's success. Continuous integration (CI) and continuous delivery (CD) which is part of DevOps, embody a culture, set of operating principles, and collection of practices that enable application development teams to deliver code changes more frequently and reliably. In this session, we will cover how you can automate your entire process from code commit to production using CI/CD pipelines in Azure DevOps for Azure Databricks applications. Using CI/CD practices, you can simplify, speed and improve your cloud development to deliver features to your customers as soon as they're ready.
Integrating with salesforce using platform eventsAmit Chaudhary
The document announces a Salesforce Apex Hours event to discuss integrating with Salesforce using Platform Events. The event will be held on May 19, 2018 and feature speakers Jigar Shah and Amit Chaudhary. They will cover the challenges of traditional point-to-point integrations, demonstrate how event-driven architecture and Platform Events provide a solution, and include a demo of building an order shipping application using Platform Events.
Prometheus: Monitoring by "Pravin Magdum" from "Crevise". The presentation was done at #doppa17 DevOps++ Global Summit 2017. All the copyrights are reserved with the author
This document discusses Java memory leaks. It provides an overview of Java memory management and the behaviors observed with memory leaks. It describes how to generate heap dumps and analyze them using tools like Eclipse Memory Analyzer to identify leaked objects and their referencing paths. Specifically, it outlines how to use MAT to find leak suspects, inspect objects' references, and view thread stacks to locate the root cause of memory leaks.
Blue-green deploys with Pulsar & Envoy in an event-driven microservice ecosys...StreamNative
The document discusses Toast's adoption and use of Apache Pulsar for asynchronous messaging in their microservices architecture. It describes how they built a "Pulsar Toggle" leveraging Envoy proxy to enable blue/green deployments of Pulsar consumers. The Pulsar Toggle allows consumers to be paused and resumed based on their status in the Envoy control plane, improving the reliability and usability of deploying changes to Pulsar-based services. Toast has seen increased adoption of Pulsar and benefits from its stability and scalability.
Observability, Distributed Tracing, and Open Source: The Missing PrimerVMware Tanzu
Open source tools like OpenTelemetry, OpenTracing, and W3C Trace Context are helping to standardize distributed tracing and observability. This allows developers to understand problems in microservices architectures by propagating unique trace IDs and collecting metrics and traces across services. While open source tools are useful for development and pre-production, commercial solutions are needed to handle production workloads at scale with additional features like access control and automated instrumentation. Standardization through open source is key to managing today's complexity in distributed systems.
Are you looking to automate your infrastructure but not sure where to start? View this presentation on ‘Getting started with Infrastructure as code’ to learn how to leverage IaC to deploy and manage resources on Azure. You will learn:
• Introduction to IaC
• Develop a simple IaC using Terraform
• Manage the deployed infrastructure using Terraform
View webinar recording at https://www.winwire.com/webinars
DevOps has established itself as an indispensable software development methodology and the DevOps market is expected to exceed $20 billion by 2026. The document discusses several trends expected to emerge in DevOps in 2023, including increased use of serverless computing, microservices architecture, low-code applications, infrastructure as code, DevSecOps, Kubernetes and GitOps, and integrating AI and ML into the software development lifecycle. Adopting these trends can help organizations achieve greater efficiency, cost savings, and accelerate software delivery.
This document provides an introduction to microservices. It begins by outlining the challenges of monolithic architecture such as long build/release cycles and difficulty scaling. It then introduces microservices as a way to decompose monolithic applications into independently deployable services. Key benefits of microservices include improved agility, scalability, and innovation. The document discusses microservice design principles like communicating over APIs, using the right tools for each service, securing services, and being a good citizen in the ecosystem. It provides examples of how to implement a restaurant microservice using AWS services like API Gateway, Lambda, DynamoDB and containers.
This document provides an overview of Red Hat's OpenShift Platform-as-a-Service (PaaS). OpenShift simplifies and automates the development, deployment and scaling of applications. It allows developers to focus on coding instead of managing infrastructure. OpenShift runs applications securely in isolated containers (gears) on top of Red Hat Enterprise Linux. Developers can use integrated tools or a web console to develop, build and deploy applications. OpenShift then automatically scales applications based on demand. The open source OpenShift Origin project allows organizations to run their own private PaaS or contribute to the community.
Lets talk about: Azure Kubernetes Service (AKS)Pedro Sousa
The document discusses the evolution of container technologies over time, including Kubernetes. It then summarizes several Azure services for containers including Azure Kubernetes Service (AKS), Azure Container Instances (ACI), and Web App for Containers. The remainder of the document focuses on AKS, providing an overview and roadmap for implementing the AKS solution on Azure.
The document provides an overview of the main components and architecture of the Mule Agent, which exposes the Mule ESB Java API as a service allowing external systems to manipulate and monitor Mule instances. The key components are the Mule Service for connecting to the Mule API, the Transport for handling communication, External Message Handlers for exposing the API and routing requests, and Internal Message Handlers for handling Mule notifications. Communication can be synchronous, asynchronous, or push-based. The architecture diagram shows how the components interact through the transport layer.
Mule ESB is a lightweight Java-based integration platform that allows developers to connect applications together through integration patterns like flow-based programming. It provides functionality for service creation and hosting, message routing, data transformation, and mediation between different technologies. Mule ESB uses a visual drag-and-drop interface called Mule Studio for low-code development of integration flows and assets. Key components include endpoints to connect to external systems, transformations to modify message formats, filters to route messages conditionally, and routers to control message flow. Mule applications are deployed to a Mule runtime server for execution.
Mule ESB is a lightweight Java-based enterprise service bus and integration platform that allows applications to connect and exchange data. It acts as a transit system carrying data between applications within or across organizations. Mule enables integration between applications regardless of technology and provides capabilities like service creation, mediation, routing, and transformation. An ESB like Mule is useful when integrating 3 or more applications, needing to connect future applications, requiring message routing, or publishing services. Mule offers scalability, reusable components, and integration of existing components without changes.
Mule ESB is a lightweight Java-based integration platform that allows applications to connect and exchange data. It acts as an integration bus carrying data between applications within or across organizations. Mule enables easy integration of existing systems regardless of technology and provides capabilities like service creation, mediation, routing, and transformation. When integrating 3 or more applications that may need to connect more applications or use different protocols, or requiring capabilities like routing or publishing services, an ESB like Mule can help. Mule provides advantages over competitors like scalability, reusability, and ability to integrate existing components without changes.
Mule ESB is a lightweight Java-based enterprise service bus and integration platform that allows developers to connect applications together quickly and easily, enabling data exchange between applications. It provides capabilities like service creation and hosting, service mediation, message routing, and data transformation to integrate existing systems regardless of technology. Mule ESB evaluates whether an ESB is needed based on factors like integrating multiple applications, supporting future application integration, requiring different communication protocols, and needing message routing capabilities.
Mule ESB is a lightweight Java-based integration platform that allows applications to connect and exchange data. It acts as an integration bus carrying data between applications within or across organizations. Mule enables easy integration of existing systems regardless of technology and provides capabilities like service creation, mediation, routing, and transformation. When integrating 3 or more applications that may need to connect with more in the future or use different communication protocols, an ESB like Mule can provide scalability, reuse, and separation of concerns.
Mule ESB is a lightweight Java-based integration platform that allows applications to connect and exchange data. It acts as an integration bus carrying data between applications within or across organizations. Mule enables easy integration of existing systems regardless of technology and provides capabilities like service creation, mediation, routing, and transformation. When integrating 3 or more applications that may need to connect more applications or use different protocols, or requiring message routing, Mule can provide an advantage over custom coding.
Mule ESB is a lightweight Java-based integration platform that allows applications to connect and exchange data. It acts as a transit system carrying data between applications within or across organizations. Mule enables integration regardless of technology and provides capabilities like service creation, mediation, routing, and transformation. When integrating 3 or more applications that may need to connect more in the future or use different protocols, an ESB like Mule can help with its scalability and reusable components. Mule Studio provides a graphical interface to design integration flows by connecting message sources, processors, and connectors.
Mule ESB is a lightweight Java-based enterprise service bus and integration platform that allows developers to connect applications together quickly and easily, enabling data exchange between applications. It provides capabilities like service creation and hosting, service mediation, message routing, and data transformation to integrate existing systems regardless of technology. Mule ESB evaluates whether an ESB is needed based on factors like integrating multiple applications, supporting future application integration, handling multiple communication protocols, and message routing requirements.
Mule ESB is a lightweight Java-based enterprise service bus and integration platform that allows developers to connect applications together quickly and easily, enabling data exchange between applications. It provides capabilities like service creation and hosting, service mediation, message routing, and data transformation to integrate existing systems regardless of technology. Mule ESB evaluates whether an ESB is needed based on factors like integrating multiple applications, supporting future application integration, requiring different communication protocols, and needing message routing capabilities.
Mule ESB is a lightweight Java-based integration platform that allows applications to connect and exchange data. It acts as an integration bus, carrying data between applications within or across organizations. Mule enables integration between applications using different technologies through its wide range of connectors. It provides capabilities for service creation, mediation, routing, and transforming messages between applications.
Mule ESB is a lightweight Java-based integration platform that allows applications to connect and exchange data. It acts as an integration bus carrying data between applications within or across organizations. Mule enables easy integration of existing systems regardless of technology and provides capabilities like service creation, mediation, routing, and transformation. When integrating 3 or more applications that may need to connect with more in the future or use different communication protocols, an ESB like Mule can provide advantages over point-to-point integration.
Mule ESB is a lightweight Java-based enterprise service bus and integration platform that allows applications to connect and exchange data. It enables integration between applications regardless of technology. Mule provides capabilities like service creation, mediation between services, message routing, and data transformation. An ESB like Mule is useful when integrating 3 or more applications, needing to connect future applications, requiring different communication protocols, or needing message routing capabilities. Mule offers high scalability, reusable components, and integration of existing components without changes.
Mule ESB is a lightweight Java-based integration platform that allows applications to connect and exchange data. It acts as an integration bus, carrying data between applications within or across organizations. Mule enables integration between applications regardless of technology and provides capabilities like service creation, mediation, routing, and transformation. Mule ESB is useful when integrating 3 or more applications, needing to connect future applications, requiring multiple communication protocols, or needing message routing capabilities.
The document summarizes an agenda for a MuleSoft meetup in Charlotte on custom connectors in Mule 4. The meetup will include introductions, then three technical sessions: the first on creating custom connectors in Mule 4, the second on error handling in Mule 4, and the third on API gateways and security models. An open discussion period will follow. The document provides details on the prerequisites and types of connectors that can be created with the Mule SDK and differences from the older DevKit. It also outlines the basic elements of a Mule connector like operations, configurations, and parameters.
The Mule Management Console (MMC) provides centralized management and monitoring of Mule ESB deployments through a web-based interface. MMC communicates with Mule instances through agents that collect data and apply configuration changes, and stores transaction and environment data in databases. It allows monitoring of applications and transactions across development, testing, and production environments from a single interface.
The document discusses Mule Enterprise Service Bus (ESB). Mule ESB is a lightweight Java-based integration platform that allows developers to connect applications together quickly and easily, enabling them to exchange data across various technologies and protocols. It acts as a transit system to carry data between applications within or across organizations. Key capabilities include support for multiple access points and protocols, simplified programming model, and ease of configuration and extensibility.
The document discusses Mule Enterprise Service Bus (ESB). Mule ESB is a lightweight Java-based integration platform that allows developers to connect applications together quickly and easily, enabling them to exchange data across various technologies and protocols. It acts as a transit system to carry data between applications within or across organizations. Key capabilities include support for multiple access points and protocols, simplified programming model, and ease of configuration and extensibility.
Mule tcat server - common problems and solutionsShanky Gupta
This document discusses common problems encountered when using Mule TCAT server and provides workarounds. It addresses issues such as servers becoming unreachable when IP addresses change, main screens not appearing in Internet Explorer 7, deployment interruptions when switching browser tabs, monitoring screens disappearing when increasing font size in Firefox, file name issues in Firefox downloads, SSL/TLS handshake exceptions, and the TCAT server service failing to start on Windows. Workarounds include re-registering servers with the current IP, adding sites to the trusted zone, waiting for full deployment before changing tabs, using default font sizes, deleting original files before redownloading, configuring alternative connectors, and verifying JAVA paths.
A role within the Anypoint Platform is a set of pre-defined permissions for each different product within the Platform.
Depending on the product, you can find pre-defined roles with their standard permissions, or you can customize your own permissions for each role.
The Access Management section grants you a space in which you can create Roles for the products to which you own the appropriate entitlements.
Mule access management - Managing Environments and PermissionsShanky Gupta
The Anypoint Platform allows you to create and manage separate environments for deploying, which are independent from each other. This presentation also explains how permissions work across different products and APIs managed feom the Anypoint Plaform.
Mule allows you to define connectors and libraries in a Mule Domain, to which you can deploy different Mule applications.
These domain based applications can share the resources configured in the domain to which they were deployed.
With Domain Support, MUnit allows you to test applications that run referencing a mule domain.
Tcat Server supports a feature named server profiles that offers an automated way to apply file changes and environment variable settings changes to one or more Tcat or Tomcat installations, and a central point of administration and storage of these changes.
Mule tcat server - Monitoring a serverShanky Gupta
This presentation describes how system administrators can use the MuleSoft Tcat Server to monitor the health of a server, see which applications are up and which are down, and determine memory usage. To view server details, click the server name on the Servers tab. The Server Details screen displays the information on several different tabs, which are described in the presentation slides.
Mule tcat server - Monitoring applicationsShanky Gupta
The document describes the tabs in the administration console that provide monitoring information for applications deployed on a Mule TCAT server. The Summary tab shows runtime statistics and request charts. The Sessions tab lists current sessions with options to view details and destroy sessions. The Attributes tab displays servlet context attributes that can be removed.
Mule tcat server - deploying applicationsShanky Gupta
A Deployment is the mechanism that enables you to deploy one or more applications to multiple Tomcat instances or groups, and to undeploy them just as easily. This page describes the various tasks related to deployment.
The document discusses how to automate tasks using scripts in MuleSoft's Tcat Server. It provides instructions on creating, modifying, saving, running, and scheduling scripts in the Admin shell. Cron command syntax is used to schedule scripts to run periodically. Examples are given for common cron commands to run scripts daily, weekly, or monthly on a specified schedule.
The Mule agent publishes notifications about events that occur in the Mule instance in JSON format, which allows you to implement your own system for receiving and handling notifications. Notifications are sent over both the REST and WebSocket transports
The document summarizes the structure of Mule messages, which contain a header and payload. The header includes properties and variables that provide metadata about the message. Properties have inbound and outbound scopes, while variables have flow, session, and record scopes. The document describes how to set, copy, and remove properties and variables using message processors. It also explains how to set and enrich the message payload.
The Run and Wait scope provided by MUnit allows you to instruct MUnit to wait until all asynchronous executions have completed. Hence, test execution does not start until all threads opened by production code have finished processing.
MUnit matchers are functions that help validate values in mocks and assertions during testing. They allow matching based on general types rather than specific values. Common matchers check for data types like null, strings, collections, and more. Additional matchers test regular expressions and containment. MUnit also provides matchers to directly access Mule message properties and attachments for assertions.
CloudHub provides a variety of tools to architect your integrations and APIs so that they are maintainable, secure, and scalable. This guide covers the basic network architecture, DNS, and firewall rules.
CloudHub Fabric provides scalability, workload distribution, and added reliability to CloudHub applications. These capabilities are powered by CloudHub’s scalable load-balancing service, Worker Scaleout, and Persistent Queues features.
CloudHub is an integration platform as a service (iPaaS) that allows developers to integrate and orchestrate applications without managing infrastructure. Applications deployed to CloudHub run on "workers", which are Mule instances that can be scaled horizontally for availability. Integration applications connect different systems and services, while Anypoint Connectors provide pre-built integrations. Environment variables allow passing configuration into applications.
This document discusses using Mule ESB to integrate with web services in various ways. It covers consuming existing web services, building and exposing web services, and creating a proxy for existing web services. The main technology used is Apache CXF, which is bundled with Mule ESB and allows for web service integration. It provides details on how to consume services by generating clients from WSDLs or service interfaces, and how to expose services by creating JAX-WS, WSDL first, or simple frontend services. Proxying services is described as a way to add functionality like security or transformations.
Mule Management Console (MMC) centralizes management and monitoring functions for all your on-premise Mule ESB Enterprise deployments, whether they are running as standalone instances, as a cluster, or embedded in application servers.
The document compares deploying Mule applications to CloudHub versus deploying to on-premises servers. Key differences include: CloudHub provides out-of-the-box functionality like load balancing but has limitations, while on-premises deployments require configuring more server aspects but provide more flexibility. Management features, ports/hosts, disk persistence, high availability, logging, and other components differ depending on the deployment target. The document provides details on these differences to help developers build applications that can be deployed to either environment.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
2. INTRODUCTION
• The Mule agent is a plugin extension for a Mule runtime which exposes the Mule API.
Using the Mule agent, you can monitor and control your Mule servers by calling APIs
from external systems, and/or have Mule publish its own data to external systems. The
agent has many features, including:
• Controlling applications, domains and services:
• List, deploy, undeploy or redeploy domains.
• List, deploy, undeploy, get status of, start or stop applications.
• Publishing Mule metrics to external monitoring systems.
3. COMMUNICATION PROTOCOLS
• The agent supports two communication protocols: REST and WebSockets.
• The agent is installed into your $MULE_HOME/plugins directory; it is configured
via a single configuration file. For installation instructions and download links, see
Installing the Agent.
• Additionally, MuleSoft provides several open source agent modules. These are
provided as is, and receive no support from MuleSoft. To access these modules, check
the GitHub repositories:
• Agent modules (general)
• JMX publisher modules
4. EXTERNAL SYSTEM CHOICES
• You can configure a Mule agent plugin to connect a Mule runtime to a variety of
external systems. The installation script provides options to choose particular
communication methods and external systems, including controlling a Mule runtime
through a Runtime Manager.
• Communication methods include secure and insecure REST communication, and/or
WebSockets connections. Other installation options (using the -H option) allow you
to configure a Mule agent to securely connect the Mule runtime to either a cloud-
based or on-premises version of an Anypoint Runtime Manager. The link that the
Agent establishes allows the Mule runtime to be monitored and managed remotely
through an Anypoint Runtime Management Console.
5. MULE AGENT ARCHITECTURE
• The Mule agent is a Mule plugin that exposes the Mule ESB JAVA API as a service,
allowing users to manipulate and monitor Mule ESB instances from external
systems.
• Further slides will show an overview of the Mule agent architecture and its main
components.
6. MULE AGENT MAIN COMPONENTS
• Mule Service
• Connects to the Mule API. This component is not aware of the transport layer (how the messages are
going to be communicated by/to the user).
• Transport
• Handles the communication layer. Includes keep-alive status, security and protocol.
• External Message handler
• Exposes a Web Service API to users. Any incoming message (e.g. a deployment request) is handled
by an external message handler. Depending on the request, a Mule service or multiple Mule services
may be executed.
• Internal Message Handler
• Called by a Mule service every time it receives a Mule notification.
• Messaging
• The agent has three ways to communicate with Mule, outlined below.
7. MULE AGENT MAIN COMPONENTS
…CONTINUED
• Synchronous communication
• Example: Get deployed applications.
• Asynchronous Communication
• Example: Deploy and notify about the
deployment stages.
• Push Communication
• Example: Push JMX information to an
external system.
8. ARCHITECTURE DIAGRAM
• The agent’s architecture is quite simple:
• The transports handle communication
• The external message handlers dispatch messages
• The services connect to Mule API
• The internal message handlers dispatch Mule notifications
9. ARCHITECTURE DIAGRAM …CONTINUED
• The interaction of
each component
is shown in the
diagram be low
for each of the
three types of
messages
(synchronous,
asynchronous
and push):
10. HOW COMPONENTS INTERACT
• Below is an outline of a typical sequence of component interaction:
• An external system sends a request to the agent.
• An external message handler is executed, and calls a Mule service using the
interface.
• The Mule service calls Mule to perform the corresponding action.
• Mule responds with a notification.
• The service maps the notification to an agent notification, and looks for the
internal message handlers that may handle the notification type.
• The corresponding internal message handlers are executed.
11. MULE AGENT CONFIGURATION
• At startup, the Mule agent reads its configuration from the file
$MULE_HOME/conf/mule-agent.yml. You must manually add, then
edit this file with your installation’s configuration parameters. The
format is self-explanatory; a sample file is available for download.
• During installation, you also have the option to configure the Mule
agent via a quick-start script.