In this session, we will explore how to deploy .net core web apps in azure Kubernetes service using azure DevOps starter and Azure DevOps.
Presented as part of Cloud Community Days on 19th June - ccdays.konfhub.com
It is difficult to deploy interloop Kubernetes development in current state. Know these open-source projects that can save us from the burden of various tools and help in deploying microservices on Kubernetes cluster without saving secrets in a file.
Service Fabric is the foundational technology introduced by Microsoft Azure to empower the large-scale Azure service. In this session, you’ll get an overview of containers like Docker after an overview of Service Fabric, explain the difference between it and Kubernetes as a new way To Orchestrate Microservices. You’ll learn how to develop a Microservices application and how to deploy those services to Service Fabric clusters and the new serverless Service Fabric Mesh service. We’ll dive into the platform and programming model advantages including stateful services and actors for low-latency data processing and more. You will learn: Overview of containers Overview of Service Fabric Difference between Kubernetes and Service Fabric Setup Environment to start developing an application using Microservices with Service Fabric.
Shared as part of Cloud Community Days on 17th June 2020 - ccdays.konfhub.com
In this session, we will understand how to create your first pipeline and build an environment to restore dependencies and how to run tests in Azure DevOps followed by building an image and pushing it to container registry.
Imagine a scenario, where you can launch a video call or chat with an advisor, agent, or clinician in just one-click. We will explore application patterns that will enable you to write event-driven, resilient and highly scalable applications with Functions that too with power of engaging communication experience at scale. During the session, we will go through the use case along with code walkthrough and demonstration.
Building Deploying and Managing Microservices-based Applications with Azure P...CodeOps Technologies LLP
This presentation covers:
* Setup AKS cluster on Azure
* Deploy a sample microservice-based highly available and scalable app to the cluster
* Set up Azure pipeline for CI and CD
* Automate deployment of the application on Git commit to AKS cluster
Presented as part of Cloud Community Days - 19 June - ccdays.konfhub.com
Prometheus is a popular open source metric monitoring solution and Azure Monitor provides a seamless onboarding experience to collect Prometheus metrics. Learn how to configure scraping of Prometheus metrics with Azure Monitor for containers running in AKS cluster.
Let’s dive into the world of serverless and give you real world examples of how to get started. We will focus on Azure Functions in Java and discuss how to provision, deploy and test them in a productive environment. In my demos we will see the ease of local development leveraging from the great integration in Visual Studio Code. Finally, let’s ship our samples and scale them in Azure. If you are tired of server maintenance and want to achieve more with your java functions , don’t miss this session.
In this session, we will discuss a use case where we need to quickly develop web and mobile front end applications which are using several different frameworks, hosting options, and complex integrations between systems under the hood. Let’s see how we can leverage serverless technologies (Azure Functions and logic apps) and Low Code/No code platform to achieve the goal. During the session we will go though the code followed by a demonstration.
It is difficult to deploy interloop Kubernetes development in current state. Know these open-source projects that can save us from the burden of various tools and help in deploying microservices on Kubernetes cluster without saving secrets in a file.
Service Fabric is the foundational technology introduced by Microsoft Azure to empower the large-scale Azure service. In this session, you’ll get an overview of containers like Docker after an overview of Service Fabric, explain the difference between it and Kubernetes as a new way To Orchestrate Microservices. You’ll learn how to develop a Microservices application and how to deploy those services to Service Fabric clusters and the new serverless Service Fabric Mesh service. We’ll dive into the platform and programming model advantages including stateful services and actors for low-latency data processing and more. You will learn: Overview of containers Overview of Service Fabric Difference between Kubernetes and Service Fabric Setup Environment to start developing an application using Microservices with Service Fabric.
Shared as part of Cloud Community Days on 17th June 2020 - ccdays.konfhub.com
In this session, we will understand how to create your first pipeline and build an environment to restore dependencies and how to run tests in Azure DevOps followed by building an image and pushing it to container registry.
Imagine a scenario, where you can launch a video call or chat with an advisor, agent, or clinician in just one-click. We will explore application patterns that will enable you to write event-driven, resilient and highly scalable applications with Functions that too with power of engaging communication experience at scale. During the session, we will go through the use case along with code walkthrough and demonstration.
Building Deploying and Managing Microservices-based Applications with Azure P...CodeOps Technologies LLP
This presentation covers:
* Setup AKS cluster on Azure
* Deploy a sample microservice-based highly available and scalable app to the cluster
* Set up Azure pipeline for CI and CD
* Automate deployment of the application on Git commit to AKS cluster
Presented as part of Cloud Community Days - 19 June - ccdays.konfhub.com
Prometheus is a popular open source metric monitoring solution and Azure Monitor provides a seamless onboarding experience to collect Prometheus metrics. Learn how to configure scraping of Prometheus metrics with Azure Monitor for containers running in AKS cluster.
Let’s dive into the world of serverless and give you real world examples of how to get started. We will focus on Azure Functions in Java and discuss how to provision, deploy and test them in a productive environment. In my demos we will see the ease of local development leveraging from the great integration in Visual Studio Code. Finally, let’s ship our samples and scale them in Azure. If you are tired of server maintenance and want to achieve more with your java functions , don’t miss this session.
In this session, we will discuss a use case where we need to quickly develop web and mobile front end applications which are using several different frameworks, hosting options, and complex integrations between systems under the hood. Let’s see how we can leverage serverless technologies (Azure Functions and logic apps) and Low Code/No code platform to achieve the goal. During the session we will go though the code followed by a demonstration.
Shift Remote AI: Build and deploy PyTorch Models with Azure Machine Learning ...Shift Conference
Take a deep look into Azure Machine Learning, a cloud service that helps you build, train, deploy, and manage models. Walk through the data science process and then have some fun creating a ML recognition model based on the Simpsons cartoon with PyTorch. You'll leave this session with a better grasp of the technological components of Azure Machine Learning services.
Here is a slidedeck for the training offerings from CodeOps Technologies. Interested in organizing a training in your organization? Contact us at: reachus@codeops.tech
Slow applications are no fun. Application performance monitoring (APM) makes tracking down issues problems much easier. But which tools should you use? Join this session to know how to build a microservice using Java and containerize it to deploy it on Azure.
CREATING REAL TIME DASHBOARD WITH BLAZOR, AZURE FUNCTION COSMOS DB AN AZURE S...CodeOps Technologies LLP
In this talk people will get to know how we can use change feed feature of Cosmos DB and use azure functions and signal or service to develop a real time dashboard system
Serverless compute with Azure Functions abstracts away infrastructure management and allows developers to focus on writing code for triggered operations. Azure Functions supports bindings to data sources and services that avoid writing boilerplate integration code, and can be deployed and managed via the Azure Functions runtime, CLI tools, templates and samples on GitHub.
This document summarizes the design, development, deployment, and monitoring of serverless applications using Azure Functions. It outlines best practices for distributed architecture, cloud DevOps, and using Logic Apps for workflow orchestration. The development process involves using Azure Functions Core Tools and bindings to connect triggers and outputs. Deployment is done through Azure Resource Manager templates. Monitoring is done through Application Insights.
Introduction to Azure Functions.
An event-based serverless compute experience to accelerate your development. Scale based on demand and pay only for the resources you consume.
When it comes to microservice architecture, sometimes all you wanted is to perform cross cutting concerns ( logging, authentication , caching, CORS, Routing, load balancing , exception handling , tracing, resiliency etc..) and also there might be a scenario where you wanted to perform certain manipulations on your request payload before hitting into your actual handler. And this should not be a repetitive code in each of the services , so all you might need is a single place to orchestrate all these concerns and that is where Middleware comes into the picture. In the demo I will be covering how to orchestrate these cross cutting concerns by using Azure functions as a Serverless model.
In this session, we will take a deep-dive into the DevOps process that comes with Azure Machine Learning service, a cloud service that you can use to track as you build, train, deploy and manage models. We zoom into how the data science process can be made traceable and deploy the model with Azure DevOps to a Kubernetes cluster.
At the end of this session, you will have a good grasp of the technological building blocks of Azure machine learning services and can bring a machine learning project safely into production.
Improve monitoring and observability for kubernetes with oss toolsNilesh Gule
Slide deck from the Azure Community Conference (https://azconf.dev/) presented on 29th October 2021. The session covered following topics
- Need for centralized logging
- Using ElasticSearch, Fluentd and Kibana (EFK) with Kubernetes
- Need for monitoring
- Using Prometheus & Grafana for infrastructure, application and third party services
- Integration of application with Sentry for Exception aggregation
In this talk, we will start with some introduction to Azure Functions, its triggers and bindings. Later we will build a serverless solution to solve a problem statement by using different triggers and bindings of Azure Functions.
Language to be used: C# and IDE - Visual Studio 2019 Community Edition"
In this workshop, you will understand how Azure DevOps Services helps you scale DevOps adoption strategies in enterprise. We will explore various feature and services that can enable you to implement various DevOps practices starting from planning, version control, CI & CD , Dependency Management and Test planning.
This presentation is from the Integration Day event, a TechMeet360 Community Initiative, held on September 10, 2016 at Microsoft GSTC in Bangalore. In this slide, Microsoft's Escalation Engineers Tulika Chaudharie and Harikharan Krishnaraju explain using Azure Functions for Integration. The presentation starts with a general overview of Azure Functions and then it moves on to some of the common Integration Patterns and how Azure Functions fit into the scenarios.
This slide deck provides the basics of Azure App Service. This presentation was presented by Harikharan Krishnaraju, Developer Support Escalation Engineer, Microsoft during the TechMeet360 event organized by BizTalk360, held on December 17, 2016 at Coimbatore.
The document discusses serverless computing and introduces Microsoft Azure Functions as a serverless platform, highlighting how Functions allows developers to write code that runs in response to events using triggers and bindings to integrate with other Azure services, and provides examples of common serverless patterns that can be implemented using Functions.
Introduction to Azure Functions - TutorialBizTalk360
In this demo heavy session, Yochay Kiriaty, from the Azure product team, will provide an overview of Azure Functions, explain some patterns, and present a lot of demos.
(DVO314) USA Today Uses Chef & AWS for Infrastructure StandardizationAmazon Web Services
Gannett, a large media company, leveraged Chef and AWS to standardize its infrastructure and address issues caused by shadow IT practices. They moved development and operations to AWS with Chef for provisioning and deploying applications. This provided standardized tools, visibility into costs, and security controls. As a result, deployments became quicker, more reliable, and new applications are deployed in the cloud using Chef. Gannett continues to work on complete enterprise adoption of cloud methodologies and improving its Chef deployment pipeline.
Back to the Future: Containerize Legacy Applications - Rob Tanner, Northern T...Docker, Inc.
People typically think of Docker for microservices and try to make the smallest container they can. There are tremendous benefits to a microservices model but those are not the only apps that qualify for containers. Traditional, homegrown, monolithic apps are also great candidates for Docker - why? By containerizing these apps, many of the same agility, portability, security and cost savings benefits can be applied to the hundreds (if not thousands) of apps in your datacenters. But where to begin? Attend this session to learn how to approach modernizing traditional apps (MTA), considerations, the available tools and possibilities.
Shift Remote AI: Build and deploy PyTorch Models with Azure Machine Learning ...Shift Conference
Take a deep look into Azure Machine Learning, a cloud service that helps you build, train, deploy, and manage models. Walk through the data science process and then have some fun creating a ML recognition model based on the Simpsons cartoon with PyTorch. You'll leave this session with a better grasp of the technological components of Azure Machine Learning services.
Here is a slidedeck for the training offerings from CodeOps Technologies. Interested in organizing a training in your organization? Contact us at: reachus@codeops.tech
Slow applications are no fun. Application performance monitoring (APM) makes tracking down issues problems much easier. But which tools should you use? Join this session to know how to build a microservice using Java and containerize it to deploy it on Azure.
CREATING REAL TIME DASHBOARD WITH BLAZOR, AZURE FUNCTION COSMOS DB AN AZURE S...CodeOps Technologies LLP
In this talk people will get to know how we can use change feed feature of Cosmos DB and use azure functions and signal or service to develop a real time dashboard system
Serverless compute with Azure Functions abstracts away infrastructure management and allows developers to focus on writing code for triggered operations. Azure Functions supports bindings to data sources and services that avoid writing boilerplate integration code, and can be deployed and managed via the Azure Functions runtime, CLI tools, templates and samples on GitHub.
This document summarizes the design, development, deployment, and monitoring of serverless applications using Azure Functions. It outlines best practices for distributed architecture, cloud DevOps, and using Logic Apps for workflow orchestration. The development process involves using Azure Functions Core Tools and bindings to connect triggers and outputs. Deployment is done through Azure Resource Manager templates. Monitoring is done through Application Insights.
Introduction to Azure Functions.
An event-based serverless compute experience to accelerate your development. Scale based on demand and pay only for the resources you consume.
When it comes to microservice architecture, sometimes all you wanted is to perform cross cutting concerns ( logging, authentication , caching, CORS, Routing, load balancing , exception handling , tracing, resiliency etc..) and also there might be a scenario where you wanted to perform certain manipulations on your request payload before hitting into your actual handler. And this should not be a repetitive code in each of the services , so all you might need is a single place to orchestrate all these concerns and that is where Middleware comes into the picture. In the demo I will be covering how to orchestrate these cross cutting concerns by using Azure functions as a Serverless model.
In this session, we will take a deep-dive into the DevOps process that comes with Azure Machine Learning service, a cloud service that you can use to track as you build, train, deploy and manage models. We zoom into how the data science process can be made traceable and deploy the model with Azure DevOps to a Kubernetes cluster.
At the end of this session, you will have a good grasp of the technological building blocks of Azure machine learning services and can bring a machine learning project safely into production.
Improve monitoring and observability for kubernetes with oss toolsNilesh Gule
Slide deck from the Azure Community Conference (https://azconf.dev/) presented on 29th October 2021. The session covered following topics
- Need for centralized logging
- Using ElasticSearch, Fluentd and Kibana (EFK) with Kubernetes
- Need for monitoring
- Using Prometheus & Grafana for infrastructure, application and third party services
- Integration of application with Sentry for Exception aggregation
In this talk, we will start with some introduction to Azure Functions, its triggers and bindings. Later we will build a serverless solution to solve a problem statement by using different triggers and bindings of Azure Functions.
Language to be used: C# and IDE - Visual Studio 2019 Community Edition"
In this workshop, you will understand how Azure DevOps Services helps you scale DevOps adoption strategies in enterprise. We will explore various feature and services that can enable you to implement various DevOps practices starting from planning, version control, CI & CD , Dependency Management and Test planning.
This presentation is from the Integration Day event, a TechMeet360 Community Initiative, held on September 10, 2016 at Microsoft GSTC in Bangalore. In this slide, Microsoft's Escalation Engineers Tulika Chaudharie and Harikharan Krishnaraju explain using Azure Functions for Integration. The presentation starts with a general overview of Azure Functions and then it moves on to some of the common Integration Patterns and how Azure Functions fit into the scenarios.
This slide deck provides the basics of Azure App Service. This presentation was presented by Harikharan Krishnaraju, Developer Support Escalation Engineer, Microsoft during the TechMeet360 event organized by BizTalk360, held on December 17, 2016 at Coimbatore.
The document discusses serverless computing and introduces Microsoft Azure Functions as a serverless platform, highlighting how Functions allows developers to write code that runs in response to events using triggers and bindings to integrate with other Azure services, and provides examples of common serverless patterns that can be implemented using Functions.
Introduction to Azure Functions - TutorialBizTalk360
In this demo heavy session, Yochay Kiriaty, from the Azure product team, will provide an overview of Azure Functions, explain some patterns, and present a lot of demos.
(DVO314) USA Today Uses Chef & AWS for Infrastructure StandardizationAmazon Web Services
Gannett, a large media company, leveraged Chef and AWS to standardize its infrastructure and address issues caused by shadow IT practices. They moved development and operations to AWS with Chef for provisioning and deploying applications. This provided standardized tools, visibility into costs, and security controls. As a result, deployments became quicker, more reliable, and new applications are deployed in the cloud using Chef. Gannett continues to work on complete enterprise adoption of cloud methodologies and improving its Chef deployment pipeline.
Back to the Future: Containerize Legacy Applications - Rob Tanner, Northern T...Docker, Inc.
People typically think of Docker for microservices and try to make the smallest container they can. There are tremendous benefits to a microservices model but those are not the only apps that qualify for containers. Traditional, homegrown, monolithic apps are also great candidates for Docker - why? By containerizing these apps, many of the same agility, portability, security and cost savings benefits can be applied to the hundreds (if not thousands) of apps in your datacenters. But where to begin? Attend this session to learn how to approach modernizing traditional apps (MTA), considerations, the available tools and possibilities.
Global Azure 2024 - On-Premises to Azure Cloud: .NET Web App JourneyCallon Campbell
In this session, we embark on a transformative journey from traditional on-premises hosting to the dynamic Azure cloud. Focused specifically on .NET web applications, we’ll explore the challenges, strategies, and best practices for migrating your beloved web apps to the Azure ecosystem.
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.
An extremely motivated and proficient individual with overall 4 years of experience in Build/ Release with DevOps & Development, AWS CSA, MCSE(Azure) and JIRA Administrator in IT industry.
Technical Capabilities of the kitsune frameworkRonak Samantray
kitsune enables developers to migrate / build serverless applications that are cloud agnostic. With kitsune, you need not have any knowledge of cloud-native / serverless components. You focus on the user experience while the framework takes care of architecture, scalability and performance.
This document discusses innovation with open source tools and application modernization. It begins by outlining the challenges of cloud migration versus modernization. It then covers how applications have shifted from monolithic to microservices architectures using containers and Kubernetes. Various scenarios for containerization and app modernization are presented, including lift-and-shift, microservices, machine learning, and serverless architectures. Microsoft Azure tools that can help with containerization, Kubernetes management, DevOps, and app modernization are also described. The document emphasizes that open source tools and containers allow developers to innovate faster while Azure services provide security, management and governance.
The document provides an agenda and information for Docker Birthday #3 event. The agenda includes an introduction to the Docker ecosystem, learning Docker with a birthday app training, a birthday app challenge, and socializing. The training involves building and deploying a simple voting app locally using Docker Toolbox to demonstrate Docker basics. Participants can then submit hacks or improvements to the app for prizes by the deadline. Mentors will be available to help beginners complete the training.
Docker Birthday #3 - Intro to Docker SlidesDocker, Inc.
High level overview of Docker + Birthday #3 overview (app and challenge portion)!
Learn more about Docker Birthday #3 celebrations here: https://www.docker.com/community/docker-birthday-3
This document discusses developing a containerized application and deploying it to the cloud. It notes that Kubernetes requires significant knowledge even for simple application releases. It then lists features of Azure Container Apps such as running containers, auto-scaling, HTTPS ingress without additional infrastructure, traffic splitting for deployments, internal service discovery, and using Dapr microservices. The document also covers ingress, service discovery, blue/green deployments with revisions, an example lab architecture, and a real project scenario. It concludes by providing a link to a sample container app project.
How to build "AutoScale and AutoHeal" systems using DevOps practices by using modern technologies.
A complete build pipeline and the process of architecting a nearly unbreakable system were part of the presentation.
These slides were presented at 2018 DevOps conference in Singapore. http://claridenglobal.com/conference/devops-sg-2018/
Docker Enterprise Edition Overview by Steven Thwaites, Technical Solutions En...Ashnikbiz
This was presented by Steven Thwaites, Technical Solutions Engineer at Docker at Cloud Expo Asia. Docker is the only Containers-as-a-Service platform for IT that manages and secures diverse applications across disparate infrastructure, both on-premises and in the cloud. It covers topics like:
VMs vs Containers
The Docker Ecosystem
How to Build and Ship your Docker Image
Unique Advantages with Docker EE and more
Thomas Seibert and Gregor Zurowski demonstrate how Mercedes-Benz.io has achieved to go from idea to production in no time. Through the evolution of an effective and developer oriented application generation framework, utilization of a highly automated tool chain, organizational improvements and the infrastructure provided by PCF they will describe how their delivery performance has increased on many dimensions and how their ecosystem allows for scaling to a multitude of teams.
Adopting PCF At An Automobile ManufacturerVMware Tanzu
This document discusses the adoption of Pivotal Cloud Foundry at an automobile manufacturer. It describes the initial state with a Java portal and broken customer journey. The vision was to create the best customer experience. The target state used Pivotal Cloud Foundry, microservices architecture, and cloud infrastructure. Key decisions included using the cloud foundry PaaS, adopting a microservices style, and enabling development teams. Challenges included integrating cloud foundry and implementing shared services and versioning. Lessons learned included the need for automation and that cloud foundry is not a panacea and requires integration work.
This document discusses a vision for programming the cloud as a single unit by linking heterogeneous components across different cloud providers, technologies, and data models. It proposes that containers can act as the "glue" to enable cloud programming by providing a universal compute element. Key elements needed include:
1) A universal application description format like CNAB to describe and deliver cloud applications.
2) A global services directory like an evolved Docker Hub to make existing components discoverable and support billing/security.
3) Ensuring execution trust through identity, monitoring, and analyzing applications' actual behavior to ensure they function as expected.
DevOps Talks Melbourne 2018: Whales, Cats and KubernetesMatt Ray
Kubernetes, Docker or VMs? With Habitat it doesn’t matter anymore! As companies make the transition from traditional IT infrastructure to cloud-native container platforms packaging, deploying and managing applications becomes the focus for developers and operators. Having a consistent approach to managing dependencies and building applications brings stability to CI/CD pipelines and frees developers to prioritize on features. Automated, repeatable builds with immutable artefacts and consistent management of any application on any platform allow operators to focus on stability and speed. Meet Habitat! This session will provide an overview of the benefits of Habitat and a live demo of applications being built and deployed on traditional operating systems across Docker and Kubernetes, seamlessly.
Aws User Group Singapore Presentation Oct-21-2020Varun Manik
Copilot Overview
The AWS Copilot command-line interface (CLI) provides application-first, high-level commands to simplify modeling, creating, releasing, and managing production-ready containerized applications on Amazon ECS from a local development environment.
Docker EE 2.0 provides choice, security, and agility for container deployments. It offers more than just containers and orchestration, including lifecycle management, governance, and security features. Docker EE can deploy applications on Linux and Windows across on-premises and cloud infrastructure. It supports both Docker Swarm and Kubernetes orchestrators. Security features include image scanning, role-based access control, and audit logging to secure the software supply chain. Docker EE aims to provide a unified platform for both traditional and microservices applications.
Similaire à Leading Edge of Modern Web Apps on Azure - Menaka - CCDays (20)
This document discusses using event-driven architectures and serverless computing with AWS services. It begins with defining event-driven architectures and how serverless architectures relate to them. It then outlines several AWS services like EventBridge, Step Functions, SQS, SNS, and Lambda that are well-suited for building event-driven applications. The document demonstrates using S3, DynamoDB, API Gateway and other services to build a serverless hotel data ingestion and shopping platform that scales independently for static and dynamic data. It shows how to upload, store, and stream hotel data and expose APIs using serverless AWS services in an event-driven manner.
This document provides an overview of the Azure Batch Service, including its core features, architecture, and monitoring capabilities. It discusses how Azure Batch allows uploading batch jobs to the cloud to be executed and managed, covering concepts like job scheduling, resource management, and process monitoring. The document also demonstrates Azure Batch usage through the Azure portal and Batch Explorer tool and reviews quotas and limits for Batch accounts, pools, jobs, and other resources.
We will walk through the exploration, training and serving of a machine learning model by leveraging Kubeflow's main components. We will use Jupyter notebooks on the cluster to train the model and then introduce Kubeflow Pipelines to chain all the steps together, to automate the entire process.
Must Know Azure Kubernetes Best Practices And Features For Better Resiliency ...CodeOps Technologies LLP
Running day-1 Ops on your Kubernetes is somewhat easy, but it is quite daunting to manage day two challenges. Learn about AKS best practices for your cloud-native applications so that you can avoid blow up your workloads.
What if you could combine Trello, GitLab, JIRA, Calendar, Slack, Confluence, and more - all together into one solution?
Yes, we are talking about Space - the latest tool from JetBrains famous for its developer productivity-enhancing tools (esp. IntelliJ IDEA).
Here we have explained about JetBrains' space and its functionalities.
This document provides an overview of functional programming concepts in Java 8 including lambdas and streams. It introduces lambda functions as anonymous functions without a name. Lambdas allow internal iteration over collections using forEach instead of external iteration with for loops. Method references provide a shorthand for lambda functions by "routing" function parameters. Streams in Java 8 enhance the library and allow processing data pipelines in a functional way.
This talk will serve as a practical introduction to Distributed Tracing. We will see how we can make best use of open source distributed tracing platforms like Hypertrace with Azure and find the root cause of problems and predict issues in our critical business applications beforehand.
This talk serves as a practical introduction to Distributed Tracing. We will see how we can make best use of open source distributed tracing platforms like Hypertrace with Azure and find the root cause of problems and predict issues in our critical business applications beforehand.
Presentation part of Open Source Days on 30 Oct - ossdays.konfhub.com
Tailwind Traders recent internal employee survey showed their employees are frustrated with lengthy processes for simple actions, such as booking vacation and other company benefits. They want to reduce the friction of reviewing and booking vacation so it’s a simple, easy and pleasant process for their employees. In this session you will see how Tailwind Traders applied Conversational AI best practices to simplify the vacation process for their employees. Using the Bot Framework Composer tooling you can quickly build conversation flows, incorporate intelligence services such as Q&A maker and LUIS, test and deploy your virtual assistant to the cloud and embed it where your customers and employees spend their time.
Text analytics, sentiment detection etc. form a very important part of NLP. With huge data available today, making sense of the dara, detecting latent patterns, tagging documents etc. has become an important part of language modelling. Let us see how Azure Cognitive services enable us to detect document sentiments, Named entities, Key phrases, contextual information like geo spatial indices etc.
AI has become the most popular buzz word among tech and non-tech individuals and we talk about its applications in daily life. The applications are getting more and more complex, and classical computers are not able to handle most of the work. In this talk, I would like to demonstrate how a hybrid Quantum-Classical Machine Learning model will work and how it can benefit us in the longer run.
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian CompaniesQuickdice ERP
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
Project Management: The Role of Project Dashboards.pdfKarya Keeper
Project management is a crucial aspect of any organization, ensuring that projects are completed efficiently and effectively. One of the key tools used in project management is the project dashboard, which provides a comprehensive view of project progress and performance. In this article, we will explore the role of project dashboards in project management, highlighting their key features and benefits.
How Can Hiring A Mobile App Development Company Help Your Business Grow?ToXSL Technologies
ToXSL Technologies is an award-winning Mobile App Development Company in Dubai that helps businesses reshape their digital possibilities with custom app services. As a top app development company in Dubai, we offer highly engaging iOS & Android app solutions. https://rb.gy/necdnt
UI5con 2024 - Keynote: Latest News about UI5 and it’s EcosystemPeter Muessig
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
Recording:
https://www.youtube.com/live/MSdGLG2zLy8?si=INxBHTqkwHhxV5Ta&t=0
Malibou Pitch Deck For Its €3M Seed Roundsjcobrien
French start-up Malibou raised a €3 million Seed Round to develop its payroll and human resources
management platform for VSEs and SMEs. The financing round was led by investors Breega, Y Combinator, and FCVC.
Artificia Intellicence and XPath Extension FunctionsOctavian Nadolu
The purpose of this presentation is to provide an overview of how you can use AI from XSLT, XQuery, Schematron, or XML Refactoring operations, the potential benefits of using AI, and some of the challenges we face.
Everything You Need to Know About X-Sign: The eSign Functionality of XfilesPr...XfilesPro
Wondering how X-Sign gained popularity in a quick time span? This eSign functionality of XfilesPro DocuPrime has many advancements to offer for Salesforce users. Explore them now!
Liberarsi dai framework con i Web Component.pptxMassimo Artizzu
In Italian
Presentazione sulle feature e l'utilizzo dei Web Component nell sviluppo di pagine e applicazioni web. Racconto delle ragioni storiche dell'avvento dei Web Component. Evidenziazione dei vantaggi e delle sfide poste, indicazione delle best practices, con particolare accento sulla possibilità di usare web component per facilitare la migrazione delle proprie applicazioni verso nuovi stack tecnologici.
Consistent toolbox talks are critical for maintaining workplace safety, as they provide regular opportunities to address specific hazards and reinforce safe practices.
These brief, focused sessions ensure that safety is a continual conversation rather than a one-time event, which helps keep safety protocols fresh in employees' minds. Studies have shown that shorter, more frequent training sessions are more effective for retention and behavior change compared to longer, infrequent sessions.
Engaging workers regularly, toolbox talks promote a culture of safety, empower employees to voice concerns, and ultimately reduce the likelihood of accidents and injuries on site.
The traditional method of conducting safety talks with paper documents and lengthy meetings is not only time-consuming but also less effective. Manual tracking of attendance and compliance is prone to errors and inconsistencies, leading to gaps in safety communication and potential non-compliance with OSHA regulations. Switching to a digital solution like Safelyio offers significant advantages.
Safelyio automates the delivery and documentation of safety talks, ensuring consistency and accessibility. The microlearning approach breaks down complex safety protocols into manageable, bite-sized pieces, making it easier for employees to absorb and retain information.
This method minimizes disruptions to work schedules, eliminates the hassle of paperwork, and ensures that all safety communications are tracked and recorded accurately. Ultimately, using a digital platform like Safelyio enhances engagement, compliance, and overall safety performance on site. https://safelyio.com/
4. DEVOPS STARTER
• Sets up everything you need for developing, deploying, and monitoring your
application.
• Monitor code commits, builds, and deployments, all from a single view in
the Azure portal.
• Quickly deploy your application to Azure
• Automate the setup of a CI/CD pipeline
5. DOCKER CONTAINERIZATION
• A standardized unit of software
• Package Software into Standardized Units for Development, Shipment and
Deployment.
• Platform addresses the global architectural requirements for your application
portfolio including infrastructure, networking, storage, logging, monitoring, etc.
• Pipeline builds a unified, secure and automated end-to-end application delivery
pipeline.
• Application evaluation examines your complete application portfolio and its
attributes to help you prioritize candidates for containerization, maintenance and
refactoring
7. AZURE KUBERNETES (AKS)
• Build, deliver and scale containerized apps.
• Removes the complexity of managing multiple containers deployed
across multiple server.
• Implement your container-based applications in a portable, scalable and
extensible way.
• Manages load Balancing.
• Manages Resource allocation and scaling.
• Self-healing of application.