The document discusses Microsoft Azure Automation, which allows users to automate tasks across Azure services and external systems using PowerShell runbooks. Key capabilities include runbook authoring in Azure, integration with other systems via PowerShell modules, and orchestrating workflows. Azure Automation provides a highly available engine based on PowerShell workflows to run automation jobs at scale. Pricing is based on runbook job runtime and number/size of imported modules. Typical use cases include patching VMs, backup/restore, monitoring, and deployment automation.
To evolve beyond a dependency on integration packs as the definition vehicle for workflow tasks, to overcome scaling and multi-tenant limitations, and to provide for effective web-based remote Runbook administration, a new paradigm for achieving automation in a Microsoft network is emerging. The name of this new technology is Service Management Automation. Let’s have a look during this session at the differences and when to use SMA or Orchestrator.
Azure SQL is a fully managed platform as a service (PaaS) that allows users to run SQL Server workloads in Microsoft's cloud by providing automated management of databases and servers. It supports both relational and non-relational data structures. Azure SQL Database offers single databases for isolated use and elastic pools for sharing resources between databases. It provides different service tiers for various workload types, including general purpose, business critical for high transactions, and hyperscale for large databases. Tools for accessing and managing Azure SQL databases include the Azure Portal, Azure Data Studio, SQL Server Management Studio, and SQL Server Data Tools in Visual Studio.
Airavata is a framework which enables a user to build Science Gateways. It is used to compose, manage, execute and monitor distributed applications and workflows on computational resources. These computational resources can range from local resources to computational grids and clouds.
The document outlines a capacity management model for SharePoint implementations and customizations including planning, building, operating, and maintaining a SharePoint farm. The plan phase includes capacity planning, analyzing impacts, and governance. The build phase covers implementing a proof of concept, using adequate hardware, and proper farm installation. The operate phase focuses on user management, regular monitoring, maintenance, and patch management. Customization is also addressed including development processes, solutions planning, and best practices.
This document discusses designing a product for deployment on Windows Azure cloud platform. It outlines key cloud computing concepts like IaaS, PaaS and SaaS. It then analyzes the goals and technical challenges of an existing product and proposes a new architectural design using Azure PaaS components like web and worker roles, service bus, caching, databases to address issues of scalability, extensibility and portability.
In this presentation, Microsoft Technical Support Engineers Harikharan Krishnaraju & Karan Singh explains the advantages of Azure Logic Apps and Microsoft Flow.
(ATS6-DEV04) Building Web MashUp applications that include Accelrys Applicati...BIOVIA
One of the biggest challenges in most corporate environments is providing a way for users to access all the data they need, usually stored in multiple disparate locations, from one interface that they are comfortable with. As web applications have become more popular, RESTful APIs have emerged as the preffered web service format in recent years. Many Accelrys applications now provide RESTful APIs that allow developers to build mashup applications. This session will explore some of these APIs and how to use them to build a simple application.
The document discusses Microsoft Azure Automation, which allows users to automate tasks across Azure services and external systems using PowerShell runbooks. Key capabilities include runbook authoring in Azure, integration with other systems via PowerShell modules, and orchestrating workflows. Azure Automation provides a highly available engine based on PowerShell workflows to run automation jobs at scale. Pricing is based on runbook job runtime and number/size of imported modules. Typical use cases include patching VMs, backup/restore, monitoring, and deployment automation.
To evolve beyond a dependency on integration packs as the definition vehicle for workflow tasks, to overcome scaling and multi-tenant limitations, and to provide for effective web-based remote Runbook administration, a new paradigm for achieving automation in a Microsoft network is emerging. The name of this new technology is Service Management Automation. Let’s have a look during this session at the differences and when to use SMA or Orchestrator.
Azure SQL is a fully managed platform as a service (PaaS) that allows users to run SQL Server workloads in Microsoft's cloud by providing automated management of databases and servers. It supports both relational and non-relational data structures. Azure SQL Database offers single databases for isolated use and elastic pools for sharing resources between databases. It provides different service tiers for various workload types, including general purpose, business critical for high transactions, and hyperscale for large databases. Tools for accessing and managing Azure SQL databases include the Azure Portal, Azure Data Studio, SQL Server Management Studio, and SQL Server Data Tools in Visual Studio.
Airavata is a framework which enables a user to build Science Gateways. It is used to compose, manage, execute and monitor distributed applications and workflows on computational resources. These computational resources can range from local resources to computational grids and clouds.
The document outlines a capacity management model for SharePoint implementations and customizations including planning, building, operating, and maintaining a SharePoint farm. The plan phase includes capacity planning, analyzing impacts, and governance. The build phase covers implementing a proof of concept, using adequate hardware, and proper farm installation. The operate phase focuses on user management, regular monitoring, maintenance, and patch management. Customization is also addressed including development processes, solutions planning, and best practices.
This document discusses designing a product for deployment on Windows Azure cloud platform. It outlines key cloud computing concepts like IaaS, PaaS and SaaS. It then analyzes the goals and technical challenges of an existing product and proposes a new architectural design using Azure PaaS components like web and worker roles, service bus, caching, databases to address issues of scalability, extensibility and portability.
In this presentation, Microsoft Technical Support Engineers Harikharan Krishnaraju & Karan Singh explains the advantages of Azure Logic Apps and Microsoft Flow.
(ATS6-DEV04) Building Web MashUp applications that include Accelrys Applicati...BIOVIA
One of the biggest challenges in most corporate environments is providing a way for users to access all the data they need, usually stored in multiple disparate locations, from one interface that they are comfortable with. As web applications have become more popular, RESTful APIs have emerged as the preffered web service format in recent years. Many Accelrys applications now provide RESTful APIs that allow developers to build mashup applications. This session will explore some of these APIs and how to use them to build a simple application.
Azure Functions VS AWS Lambda: overview and comparisonAlex Zyl
The document compares serverless computing platforms Azure Functions and AWS Lambda. It provides an overview of key concepts like functions, triggers, bindings and event models. It also outlines some example use cases for functions. The document analyzes the architecture and infrastructure of Azure Functions and AWS Lambda and compares features between the two platforms. It concludes by listing relevant documentation and SDK repositories for further reference.
(ATS6-DEV03) Building an Enterprise Web Solution with AEPBIOVIA
In this session, we'll take a deep dive into building an Enterprise Solution with AEP. We'll be using Pipeline Pilot to develop the protocols that will provide our server-side implementations and ExtJS to build the user interface. We'll look at the techniques involved in using protocols to implement actions and explore the capabilities of ExtJS to produce powerful enterprise applications.
(ATS6-DEV05) Building Interactive Web Applications with the Reporting CollectionBIOVIA
The document discusses building interactive web applications using the Reporting Collection. It describes components like forms, data connectors, interactive elements and AJAX capabilities that allow adding interactivity. The reporting components generate reports in formats like HTML, PDF from data and layouts. Interactive components allow generating full web applications without additional coding. Forms capture user input. The data connector synchronizes selections across visualizations. Protocol links and functions enable drill-down and AJAX functionality. JavaScript attributes and components add custom scripting.
T5 - Mise en place de votre processus DevOps Ofice, Office 365, SharePoint - ...SPS Monaco
Quel développeur n’a jamais rêvé d’avoir une assurance qualité de bout en bout pour éviter le stress et les cauchemars ? Historiquement avec SharePoint on a toujours dit que c’était chose compliquée, coûteuse etc…
Nous verrons un ensemble d’outils et de solutions avec Visual Studio Team Services qui vous démontreront le contraire et vous n’aurez plus d’excuses après cette session pour automatiser la qualité dans vos processus.
Au programme :
- Gestion des sources et des branches
- Build automtisé de solutions/apps SharePoint
- Déploiements automatisés
- Tests automatisés
- Qualité de code
Nombreuses démonstrations
This document discusses job scheduling, SQL Database, and pricing on the Azure PaaS. It describes how to create scheduled web jobs using the Azure scheduler portal by setting the job type, schedule, and action. It also discusses monitoring web jobs, DTUs and eDTUs in SQL Database, and how to determine the number needed. The document provides an overview of migration from Oracle and SQL Server databases to Azure SQL Database using tools like SSMA and SqlPackage.exe.
(ATS6-APP05) Deploying Contur ELN to large organizationsBIOVIA
Introducing new IT systems that affect many users could be challenging, in particular for large organizations. This session will describe how Contur ELN has been deployed to 1000+ users in different fields of R&D. Case studies will be used to illustrate strategies and practical considerations.
2011.05.31 super mondays-servicebus-demodaveingham
Presentation by David Ingham demonstrating the messaging features (queues, topics) of Windows Azure AppFabric Service Bus. Given at SuperMondays, Gateshead, UK on May 31, 2011.
This document provides an overview of Azure Functions, a serverless computing service. It describes serverless architectures and how they differ from traditional server-based architectures by relying on third-party backend services. It then explains how Azure Functions allows developers to write short-lived, event-triggered functions using C# or other languages. The document outlines some pros and cons of Azure Functions, such as its reliance on App Services and ability to deploy code via source control. It concludes with a demonstration of Azure Functions.
This document provides an overview of the architecture of SharePoint 2010, including farm architecture options ranging from an all-in-one server to larger dedicated server farms. It discusses logical architecture considerations like web application structure and content database distribution. Hardware recommendations emphasize adequate disk space, memory, and processors for database and index servers. The document also summarizes new SharePoint 2010 administrative features for monitoring, upgrading, security and developer tools.
This document discusses how to auto scale .NET applications in Amazon Web Services. It covers key concepts like scalability versus auto scaling, using a load balancer and solving session issues for web applications, and monitoring applications to enable auto scaling. The document provides an example of scaling an application from 2 web servers and 3 application servers in 2012 to 3 SQL servers and more elastic resources like SQS and ElastiCache by 2015. It also discusses best practices for auto scaling like using out-of-process sessions, log collection, and setting CloudWatch alarms to trigger auto scaling rules.
Azure Functions allow for event-driven, serverless code execution in multiple languages like C#, Node.js, and Python. Functions can be triggered by events from various Azure services and external sources. They provide automatic scaling based on demand and sub-second billing. Functions make it easy to compose cloud applications from loosely coupled services and integrate with other Azure services like Logic Apps, Storage, SQL Database, and more.
Lift SSIS package to Azure Data Factory V2Manjeet Singh
Manjeet Singh gives a presentation on lifting SSIS packages to Azure using Data Factory v2. He discusses how the Integration Runtime in ADF v2 allows existing on-premises SSIS packages to be lifted to the cloud. He demonstrates deploying a SSIS package to an Azure SQL database, running it using SQL Server Management Studio and Azure Data Factory pipelines, and provides tips on using the SSIS Integration Runtime.
An introduction to using R in Power BI via the various touch points such as: R script data sources, R transformations, custom R visuals, and the community gallery of R visualizations
This document provides an overview of Logic Apps and how to connect Salesforce and Microsoft Dynamics CRM using Logic Apps. It discusses Logic App terms, pricing plans, how to access and create Logic Apps, and how to connect Logic Apps to Salesforce and Dynamics CRM. It also covers using connectors as triggers and actions in Logic Apps and customizing the CRM and Salesforce platforms for integration.
This document summarizes announcements from Microsoft Build 2021 about updates to Azure, Azure AI services, Visual Studio, .NET 6, and Windows/Edge. Key updates include new Azure Applied AI services, improvements to IntelliSense in Visual Studio, the release of C# 10, new features in .NET 6 like hot reload, and Project Reunion enabling apps with GUI on Linux.
The document compares the monolithic and microservices application approaches. It notes that the microservices approach separates functionality into independent services that can each be scaled independently, while the monolithic approach has all functionality within a single process. It also discusses how microservices use various technologies and databases, while monolithics typically use a single database.
Microsoft flow best practices SharePoint Saturday Bremen 2019 (Germany)serge luca
This document provides an overview of Microsoft Flow best practices. It discusses using logical workflow IDs and approval IDs, bulletproofing code with Coalesce(), state machine patterns for workflows over 30 days, error handling techniques like retry policies and reducing concurrency, asynchronous long calls, proxy and service flows, Flow extensibility through HTTP triggers and responses, integrating Flow with Power BI, and conclusions about keeping forms simple and using Flow to complement other tools like PowerShell. Demo flows are provided for expense reports, calling APIs, custom connectors, managing errors, parallelism, and connecting Flow to Power BI.
The document proposes a System Settings API to solve issues with functional configuration management and deployment in sites. The API would provide a central location for all site configuration, support change logging, and allow pluggable storage mechanisms. This would make adding features less disruptive and merging configuration across environments easier. The API is designed to support storing structured data and allow modules to specify how and when settings are loaded. New potential features include pluggable storage options, configuration version control, and a configuration server to propagate changes.
WinOps Conf 2016 - Ed Wilson - Configuration Management with Azure DSCWinOps Conf
Configuration management at scale, even with PowerShell and PowerShell DSC, can quickly become complicated, error-prone, and unruly. The new Desired State Configuration (DSC) feature of Azure Automation, in the Microsoft’s Operations Management Suite, provides a solution - a central, secure location for all your PowerShell DSC items and reports, that is scalable, reliable, and highly-available. Come learn how it can transform configuration management across your organization, using the PowerShell tools and knowledge you already have.
Azure Functions VS AWS Lambda: overview and comparisonAlex Zyl
The document compares serverless computing platforms Azure Functions and AWS Lambda. It provides an overview of key concepts like functions, triggers, bindings and event models. It also outlines some example use cases for functions. The document analyzes the architecture and infrastructure of Azure Functions and AWS Lambda and compares features between the two platforms. It concludes by listing relevant documentation and SDK repositories for further reference.
(ATS6-DEV03) Building an Enterprise Web Solution with AEPBIOVIA
In this session, we'll take a deep dive into building an Enterprise Solution with AEP. We'll be using Pipeline Pilot to develop the protocols that will provide our server-side implementations and ExtJS to build the user interface. We'll look at the techniques involved in using protocols to implement actions and explore the capabilities of ExtJS to produce powerful enterprise applications.
(ATS6-DEV05) Building Interactive Web Applications with the Reporting CollectionBIOVIA
The document discusses building interactive web applications using the Reporting Collection. It describes components like forms, data connectors, interactive elements and AJAX capabilities that allow adding interactivity. The reporting components generate reports in formats like HTML, PDF from data and layouts. Interactive components allow generating full web applications without additional coding. Forms capture user input. The data connector synchronizes selections across visualizations. Protocol links and functions enable drill-down and AJAX functionality. JavaScript attributes and components add custom scripting.
T5 - Mise en place de votre processus DevOps Ofice, Office 365, SharePoint - ...SPS Monaco
Quel développeur n’a jamais rêvé d’avoir une assurance qualité de bout en bout pour éviter le stress et les cauchemars ? Historiquement avec SharePoint on a toujours dit que c’était chose compliquée, coûteuse etc…
Nous verrons un ensemble d’outils et de solutions avec Visual Studio Team Services qui vous démontreront le contraire et vous n’aurez plus d’excuses après cette session pour automatiser la qualité dans vos processus.
Au programme :
- Gestion des sources et des branches
- Build automtisé de solutions/apps SharePoint
- Déploiements automatisés
- Tests automatisés
- Qualité de code
Nombreuses démonstrations
This document discusses job scheduling, SQL Database, and pricing on the Azure PaaS. It describes how to create scheduled web jobs using the Azure scheduler portal by setting the job type, schedule, and action. It also discusses monitoring web jobs, DTUs and eDTUs in SQL Database, and how to determine the number needed. The document provides an overview of migration from Oracle and SQL Server databases to Azure SQL Database using tools like SSMA and SqlPackage.exe.
(ATS6-APP05) Deploying Contur ELN to large organizationsBIOVIA
Introducing new IT systems that affect many users could be challenging, in particular for large organizations. This session will describe how Contur ELN has been deployed to 1000+ users in different fields of R&D. Case studies will be used to illustrate strategies and practical considerations.
2011.05.31 super mondays-servicebus-demodaveingham
Presentation by David Ingham demonstrating the messaging features (queues, topics) of Windows Azure AppFabric Service Bus. Given at SuperMondays, Gateshead, UK on May 31, 2011.
This document provides an overview of Azure Functions, a serverless computing service. It describes serverless architectures and how they differ from traditional server-based architectures by relying on third-party backend services. It then explains how Azure Functions allows developers to write short-lived, event-triggered functions using C# or other languages. The document outlines some pros and cons of Azure Functions, such as its reliance on App Services and ability to deploy code via source control. It concludes with a demonstration of Azure Functions.
This document provides an overview of the architecture of SharePoint 2010, including farm architecture options ranging from an all-in-one server to larger dedicated server farms. It discusses logical architecture considerations like web application structure and content database distribution. Hardware recommendations emphasize adequate disk space, memory, and processors for database and index servers. The document also summarizes new SharePoint 2010 administrative features for monitoring, upgrading, security and developer tools.
This document discusses how to auto scale .NET applications in Amazon Web Services. It covers key concepts like scalability versus auto scaling, using a load balancer and solving session issues for web applications, and monitoring applications to enable auto scaling. The document provides an example of scaling an application from 2 web servers and 3 application servers in 2012 to 3 SQL servers and more elastic resources like SQS and ElastiCache by 2015. It also discusses best practices for auto scaling like using out-of-process sessions, log collection, and setting CloudWatch alarms to trigger auto scaling rules.
Azure Functions allow for event-driven, serverless code execution in multiple languages like C#, Node.js, and Python. Functions can be triggered by events from various Azure services and external sources. They provide automatic scaling based on demand and sub-second billing. Functions make it easy to compose cloud applications from loosely coupled services and integrate with other Azure services like Logic Apps, Storage, SQL Database, and more.
Lift SSIS package to Azure Data Factory V2Manjeet Singh
Manjeet Singh gives a presentation on lifting SSIS packages to Azure using Data Factory v2. He discusses how the Integration Runtime in ADF v2 allows existing on-premises SSIS packages to be lifted to the cloud. He demonstrates deploying a SSIS package to an Azure SQL database, running it using SQL Server Management Studio and Azure Data Factory pipelines, and provides tips on using the SSIS Integration Runtime.
An introduction to using R in Power BI via the various touch points such as: R script data sources, R transformations, custom R visuals, and the community gallery of R visualizations
This document provides an overview of Logic Apps and how to connect Salesforce and Microsoft Dynamics CRM using Logic Apps. It discusses Logic App terms, pricing plans, how to access and create Logic Apps, and how to connect Logic Apps to Salesforce and Dynamics CRM. It also covers using connectors as triggers and actions in Logic Apps and customizing the CRM and Salesforce platforms for integration.
This document summarizes announcements from Microsoft Build 2021 about updates to Azure, Azure AI services, Visual Studio, .NET 6, and Windows/Edge. Key updates include new Azure Applied AI services, improvements to IntelliSense in Visual Studio, the release of C# 10, new features in .NET 6 like hot reload, and Project Reunion enabling apps with GUI on Linux.
The document compares the monolithic and microservices application approaches. It notes that the microservices approach separates functionality into independent services that can each be scaled independently, while the monolithic approach has all functionality within a single process. It also discusses how microservices use various technologies and databases, while monolithics typically use a single database.
Microsoft flow best practices SharePoint Saturday Bremen 2019 (Germany)serge luca
This document provides an overview of Microsoft Flow best practices. It discusses using logical workflow IDs and approval IDs, bulletproofing code with Coalesce(), state machine patterns for workflows over 30 days, error handling techniques like retry policies and reducing concurrency, asynchronous long calls, proxy and service flows, Flow extensibility through HTTP triggers and responses, integrating Flow with Power BI, and conclusions about keeping forms simple and using Flow to complement other tools like PowerShell. Demo flows are provided for expense reports, calling APIs, custom connectors, managing errors, parallelism, and connecting Flow to Power BI.
The document proposes a System Settings API to solve issues with functional configuration management and deployment in sites. The API would provide a central location for all site configuration, support change logging, and allow pluggable storage mechanisms. This would make adding features less disruptive and merging configuration across environments easier. The API is designed to support storing structured data and allow modules to specify how and when settings are loaded. New potential features include pluggable storage options, configuration version control, and a configuration server to propagate changes.
WinOps Conf 2016 - Ed Wilson - Configuration Management with Azure DSCWinOps Conf
Configuration management at scale, even with PowerShell and PowerShell DSC, can quickly become complicated, error-prone, and unruly. The new Desired State Configuration (DSC) feature of Azure Automation, in the Microsoft’s Operations Management Suite, provides a solution - a central, secure location for all your PowerShell DSC items and reports, that is scalable, reliable, and highly-available. Come learn how it can transform configuration management across your organization, using the PowerShell tools and knowledge you already have.
The document discusses various options for managing resources on Microsoft Azure, including the Azure Portal, PowerShell, Microsoft Azure Management Libraries (MAML), and Azure Resource Manager (ARM). It provides demonstrations of creating and managing resources using the Portal, PowerShell, MAML, and ARM. Challenges with current management options and the benefits of ARM templates for defining dependencies and orchestrating resource provisioning are also outlined.
This document discusses Microsoft automation tools including Service Management Automation, PowerShell workflows, Azure Automation, and PowerShell Desired State Configuration. It provides an overview of each tool's architecture and capabilities. The document demonstrates how to author PowerShell workflows using tools like the Azure Automation Authoring Toolkit. It also demonstrates PowerShell DSC and how to configure systems using a pull server model both on-premises and with Azure Automation DSC in the cloud. The key takeaway is that Microsoft provides a comprehensive set of automation tools to configure, manage, and automate hybrid cloud environments.
- Azure updates include new features for machine learning, operations management, cognitive services, virtual machines, SQL, data warehouse, mobile apps, Active Directory, security, and streaming.
- Key updates include improved web services management, OMS security capabilities, new cognitive services APIs, faster GPU virtual machines, increased SQL and data warehouse performance and scale, and single sign-on across apps with Active Directory.
- Updates aim to provide more analytics, security, and automation capabilities across the Azure platform.
Fredrik Kristian Knalstad presented 10 ways to trigger Runbooks from System Center Orchestrator:
1. Using the Orchestrator Web Service API to trigger Runbooks from custom applications and scripts.
2. Leveraging Powershell to interact with the Web Service to start Runbooks with parameters.
3. Integrating with Configuration Manager and MDT to trigger Runbooks as part of task sequences.
4. Monitoring activities like services, events, and processes to trigger Runbooks based on status changes.
5. Creating Runbook templates for use in Service Manager to automate incident and change management.
6. Deploying the End User Portal for Orchestrator to allow self-service Run
Fredrik Kristian Knalstad presented 10 ways to trigger Runbooks from System Center Orchestrator:
1. Using the Orchestrator Web Service API to trigger Runbooks from custom applications and scripts.
2. Leveraging Powershell to interact with the Web Service to start Runbooks with parameters.
3. Integrating with Configuration Manager and MDT to trigger Runbooks as part of task sequences.
4. Monitoring activities like services, events, and processes to trigger Runbooks based on status changes.
5. Creating Runbook templates for use in Service Manager to automate incident and change management.
6. Deploying the End User Portal for Orchestrator to allow self-service Run
Fredrik knalstad 10 ways to trigger orchestrator runbooks in the it junglePer Riis
Fredrik Kristian Knalstad presented 10 ways to trigger Runbooks from System Center Orchestrator:
1. Using the Orchestrator Web Service API to trigger Runbooks from custom applications and scripts.
2. Leveraging Powershell to start Runbooks by constructing HTTP requests to the Web Service.
3. Integrating with Configuration Manager and MDT to trigger Runbooks as part of task sequences.
4. Monitoring activities like services, events, and processes to trigger Runbooks based on state changes.
5. Creating Runbook templates for use in Service Manager to automate incident and change management.
6. Deploying the End User Portal for Orchestrator to allow self-service Runbook
The document provides an overview of containerization with Microsoft Azure. It defines containers as lightweight alternatives to virtual machines that package an application and its dependencies in a standardized unit. Docker is described as the leading containerization platform, with containers wrapping software in a complete filesystem. Key aspects of Docker architecture and common Docker CLI commands are outlined. Azure Container Service is introduced as providing a robust hosting environment for containers using orchestration tools like Kubernetes, DC/OS and Docker Swarm. Container orchestration facilitates deployment and management at scale through container clusters managed by master nodes.
This document provides an overview of PowerShell modules for administering Office 365. It discusses the Azure AD, Exchange Online, SharePoint Online, PnP, Skype for Business Online, and Teams PowerShell modules. For each module, it covers common tasks, connection methods, and authentication. It emphasizes that PowerShell is a useful tool for automation, bulk operations, custom reports, and reusability in Office 365 administration. Examples are provided and resources listed for learning more about PowerShell and each relevant module.
Building stateful serverless orchestrations with Azure Durable Azure Function...Callon Campbell
Callon Campbell gave a presentation on building stateful serverless orchestrations with Azure Durable Functions. The presentation covered an introduction to serverless computing challenges, an overview of Durable Functions and how it addresses challenges through stateful orchestrations. It included demos of function chaining and fan-out/fan-in patterns using Durable Functions. The presentation also discussed alternate Durable Functions storage providers like Netherite and SQL Server that provide higher performance and portability compared to the default Azure Storage.
This document discusses automating the deployment of SharePoint farms using System Center and PowerShell scripts. It recommends preparing virtual machine images of Windows Server, SQL Server and SharePoint in advance. The key steps are:
1. Configure Hyper-V and SCVMM for virtualization.
2. Sysprep and capture images of SQL Server and SharePoint for use in templates.
3. Create PowerShell scripts for unattended installation of SharePoint.
4. Use SCVMM service templates to provision multiple VMs for development, testing and production environments from the images.
Azure Identity (AD,ADFS 2.0,AAD,ADB2C,OAuth,OpenID,PingID,AD Custom Policies) ,
Azure PaaS (Azure Functions, Serverless computing, Azure Comsos DB, Webhooks, API Apps, Logic Apps, Kudu, Azure Websites), Azure Functions, Lamda Function, Event Functions, Serverless architecture, Implementing azure functions on GIT HUB comment feature, Why Azure Functions, Azure Virtual Machines, Azure Cloud Services, Azure Web Apps & WebJobs, Service Fabric, Consumption Plans, Billing Model, Benefits of Azure Functions, What is serverless, Implementing bigger solutions into smaller azure functions, Microservices, Use cases, Function App, Implementation storing unstructured data using Azure functions into Cosmos DB, Cosmos DB, Custom Azure functions, Azure Cosmos DB, IOTS, Document DB, Doc DB, How to setup a Jenkins build server and automatically trigger code from Visual studio online,Azure App Service, App service Environment, Azure Stack, Managing Azure App services, Azure Powershell, Azure CLI, REST APIS, Azure Portal, Templates, Kudu Console access, Run GIT Commands on Kudu Console, Locking Azure Resources, Configuring Custom Domains, Adding Extensions to Azure Web App/Websites, App service Deployment options, Data Services in Azure , Azure SQL, Azure SQL server, Azure SQL database vs SQL server in a Azure VM, SQL Tiers, DTU, Data Transactional Unit, Planning & provisioning azure SQL databases,Migrating SQL Databases, Azure SQL Server, SQL server transactional replication, Deploy database to Microsoft Azure Database Wizard, DAC package, DAC, SQL compatibility issues, Migrating SQL with downtime, DMA, Data Migration Assistant, Database Snapshot, Migrating SQL without downtime, DTU, Data Transactional Unit, Recommendations for best performance during SQL Import Process, Transactional Replication, T-SQL, Task to implement what ever you learnt till now,
by Leo Zhadanovsky, Principal Solutions Architect, AWS
Amazon EC2 Systems Manager is a management service that helps you securely and safely manage instances at scale, automatically collect software inventory, apply operating system patches, create system images, and configure Windows and Linux operating systems. These capabilities help you define and track system configurations, prevent drift, and maintain software compliance of your Amazon EC2 and on-premises configurations. By providing a management approach that is designed for the scale and agility of the cloud but extends into your on-premises data center, Systems Manager makes it easier for you to seamlessly bridge your existing infrastructure with AWS.
As companies shift workloads into the cloud, IT organizations are required to manage an increasing number of cloud resources. AWS provides a broad set of services that help IT organizations with provisioning, tracking, auditing, configuration management, and cost management of their AWS resources. In this session, we will explore the AWS Management Tools suite of services that support the lifecycle management of AWS resources at scale and enable IT governance and compliance. The Deep Dive on AWS Management Tools session will benefit both new and experienced IT administrators, systems administrators, and developers operating infrastructure on AWS and interested in learning about the AWS resource management capabilities.
Azure Kubernetes Service (AKS) - Co słychać na początku 2020?Lukasz Kaluzny
Slajdy z wystąpienia "Azure Kubernetes Service (AKS) - Co słychać na początku 2020?" prezentowane na 38 spotkanie Microsoft Azure User Group Poland w Warszawie.
Fundamentals of Kuberneteson Microsoft AzureLukasz Kaluzny
This document summarizes a presentation about Kubernetes on Microsoft Azure. It discusses how Azure Kubernetes Service (AKS) makes deploying and managing Kubernetes easy with features like auto-scaling, global data centers, and integrated services. It provides an example of a Polish company called Synerise that uses Azure to power its AI-powered marketing platform, processing over 100,000 data inputs per second and improving conversion rates for customers. Resources for learning more about containers on Azure are also listed.
Microsoft Azure Developer Camp - Modern Computing in AzureLukasz Kaluzny
Łukasz Kałużny & Marek Grabarz about:
- VM Image Builder
- AKS and Virtual Nodes
- Project KEDA
- New capabilities of Azure AppService
- Consumption based API Management
This document summarizes a presentation on Kubernetes 101. The presentation introduces containers and Kubernetes, defines key Kubernetes concepts like pods and services, and explains how managed Kubernetes works on Microsoft Azure. It was given by Łukasz Kałużny, an MVP in Microsoft Azure and Cloud Technology Leader at Beyond.pl, at the 2019 SQLDay conference.
This document contains the agenda for the SQLDay 2018 conference. It lists the gold, silver, and bronze sponsors of the event, as well as the strategic partner. It then includes slides on various topics that will be presented, including Kubernetes for data scientists, containers, Docker, GPU and Docker, Kubernetes architecture, deploying to Kubernetes, autoscaling in Kubernetes, Kubeflow, JupyterHub, Tensorflow Training Controller, and Tensorflow Serving. It concludes with a thank you slide.
Najczęściej popełniane błędy przy wykorzystywaniu IaaS w Microsoft AzureLukasz Kaluzny
W trakcie swoje codziennej pracy często spotykamy się z problemami takimi jak rozwiązania, w których błędna konfiguracja skutkuje brakiem SLA, problemami z wydajnością różnych elementów czy nawet sytuacje, w których backup znika w niewyjaśnionych okolicznościach. Podczas sesji, bazując na doświadczeniu własnym i płynącym z wielogodzinnych dyskusji oraz sesji diagnostycznych z innymi osobami zajmującymi się chmurą publiczną, Łukasz opowie o najczęściej popełnianych błędach podczas użycia IaaS w Microsoft Azure.
Jak zbudować aplikacje z wykorzystaniem funkcjonalności windows server 2016...Lukasz Kaluzny
Zagadnienia:
Nowe funkcjonalności Microsoft Windows Server 2016 w kontekście budowy aplikacji typu cloud-native:
Zastosowanie Nano Servera, czyli odchudzonej wersji Windows Server 2016, oszczędniej korzystającej z zasobów IT.
Uruchamianie na Nano Serwerach WS2016 aplikacji napisanych w .NET, Javie, Pythonie (Django) czy JavaScript (Node.js).
Migracja - bez konieczności zmiany kodu - istniejących aplikacji do architektury opartej o kontenery. Kontenery to rozwiązania oparte na szybkiej wirtualizacji na poziomie procesów. Nie tworzą dodatkowych instancji jądra systemu operacyjnego. Na tym samym hoście można uruchomić większą ilość kontenerów niż maszyn wirtualnych. Uruchamianie i zamykanie kontenera jest też znacznie szybsze, niż uruchamianie i zamykanie maszyny wirtualnej.
Wspólna praca developerów i administratorów nad produktem, czyli DevOps z wykorzystaniem Windows Server 2016 i Visual Studio Team Services w chmurze Azure. Automatyczne budowanie obrazów kontenerów dla każdego nowego kodu i wdrażania ich w różne środowiska
Łatwiejsze zarządzanie obciążeniami aplikacji pomiędzy zasobami we własnej infrastrukturze i w chmurze Azure dzięki WS2016 oraz Azure Service Fabric.
Funkcjonalności Windows Server 2016 powstałe z myślą o wygodzie administratorów:
Nowa wersja PowerShell 5.0 - przynosząca lepsze funkcjonowanie powłoki linii poleceń oraz udoskonalony język skryptowy,
Azure Remote Server Management Tools – zdalne zarządzanie Nano i Windows Server 2016 z Azure,
PowerShell Direct,
Nested Virtualization jako wsparcie ułatwienia nauki i testów.
Introduction to Azure Resource Manager, Global Azure Bootcamp 2016.04Lukasz Kaluzny
Introduction to Azure Resource Manager presented at Global Azure Bootcamp 2016 in Warsaw, Poland.
Basics about deploying services and their organization and control with the help of Azure Resource Manager.
Budowanie szablonów Azure Resource Manager w praktyce od podstawLukasz Kaluzny
Prezentacja o budowaniu szablonów Azure Resource Manager w praktyce od podstaw z trzeciego spotkania Microsoft Azure User Group Poland w Warszawie.
Materiały:
http://blog.kaluzny.pro/budowanie-szablonow-azure-resource-manager-w-praktyce-od-podstaw
https://github.com/kaluzaaa/arm-WebAppForArmDemo
https://github.com/kaluzaaa/WebAppForArmDemo
This document provides an overview of containers and Microsoft's approach to containers on Windows Server. It discusses how Windows Server containers leverage Hyper-V isolation without the overhead of full virtual machines. It also demonstrates how to use PowerShell to create and manage Windows containers, build container images, and set up basic networking. The key technologies discussed are Windows Server containers, Docker, and Microsoft's container platform strategy across Azure, on-premises, and hybrid scenarios.
Presentation about the basics of Azure Resource Manager Presented on "Cloud Community Conference 2015".
Slides based on presenation of Ryan Jones from Build 2015.
Prezentacja o transformacja wewnętrznego IT i usług w ITMAGINATION do Microsoft Azure oraz Office 365.
Zaprezentowane na konferencji "Bezpieczny kierunek rozwoju infrastruktury IT"
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
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.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdfTechgropse Pvt.Ltd.
In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Automatyzacja Microsoft Azure z wykorzystaniem Azure Automation
1.
2.
3.
4. Process automation that simplifies cloud
management
Automation
Integration
Integrate into existing
systems with PowerShell
integration modules
Build additional PS modules
to enable integrating into
other systems
Orchestration
Accelerate time to value
with flexible process
workflows
5. Azure Automation Capabilities
Azure
Monitoring
Systems
Change
Control
Systems
Anything
Runbook Authoring in Azure:
Create runbooks to automate all aspects of
cloud operations, from deployment,
monitoring, and optimizations
Highly Available Engine:
Support requirements for scale and H/A.
Built on PowerShell Workflow. Isolation for
runbook jobs
Integration into other systems:
Import PS modules and create additional
modules and runbooks for Azure services or
to connect into 3rd party systems
Automation
6. Built on PowerShell Workflow
PowerShell
Workflow
•Use Windows PowerShell syntax
•Multi-device management
•Running a single task to manage complex,
end-to-end processes
•Automated failure recovery
•Connection and activity retries
Centralized
store
•Credentials / certificates
•Global variable
•Global connection for runbooks
•Modules
•Runbooks (draft / published versioning)
•Scheduling
Highly
Available
•Runbook servers to process jobs
•Odata Web service to submit / retrieve
status
•SQL Server clustering / always on
Historical
Analysis
•Historical view of runbook jobs
•Reporting through Excel PowerPivot for ROI
•View runbook used for all jobs
PowerShell
Workflow
Centralized
store
Highly
Available
Historical
Analysis
Microsoft
Azure
Automation
9. Manage Runbooks & Jobs
View runbook jobs over time
Find jobs that may need attention
Filtering of jobs based on status and date
Identify authoring state (New, In edit, Published)
Filter by tags to group related runbooks
History of jobs per runbook
Who last updated and when
Input parameters and output
Drill into each job to view streams generated to help
troubleshooting
Stop, Suspend and Resume job
10. Manage Automation Assets
Add additional integration modules
Update to new versions of integration modules
Create / manage credentials
Create / manage connections
Create / manage variables
Manage Schedules
11. Typical Azure Automation Scenarios
Patch Azure IaaS VMs without downtime,
leveraging Traffic manager.
Enable regeneration of storage account
keys while avoiding downtime in the
application.
Backup IaaS VMs on a schedule.
Change Control &
Provisioning
13. Real solutions built on Azure Automation
• Provision Azure HDInsight cluster when needed, de-provision
when done (LINK)
• Truncate Azure SQL DB tables when a database
approaches its maximum size (LINK)
• Monitor attributes in SharePoint Online (ex: site quota,
number of sites) and raise alerts when their values
exceed threshold (LINK)
• Turn dev/test Azure VMs off after work hours, on before
work hours (LINK)