With this presentation, you'll get to learn about :
SaaS concepts and terminology
How to choose the appropriate tenancy model
SaaS Design Patterns
Standalone app
Database-per-tenant
Sharded multi-tenant
Tenancy models compared
This document discusses microservices, which are small focused tasks that can be invoked via events in Fedora to perform tasks like OCR, image manipulation, and file conversion. It describes two versions of microservices - a Python version and a PHP version. It outlines some advantages of microservices like reusability and consistency. It also describes a student project that integrated the old PHP microservices with Taverna workflow software to allow third party services. It provides instructions on installing, configuring, and running microservices including creating workflows in Taverna Workbench and triggering the services.
This document summarizes a presentation on "Infrastructure as Code" for beginners. It discusses automating deployment, provisioning, environments, and virtual machine management through continuous integration/delivery practices and configuration management tools. Specific topics covered include deployment pipelines, desired state configuration, separating configuration for different environments, immutable infrastructure patterns, building golden images, and infrastructure automation through tools like Ansible, Packer and Terraform. A demo is provided to illustrate these concepts in action.
YouTube Link: https://youtu.be/0djPrlaxx_U
Edureka AWS Architect Certification Training - https://www.edureka.co/aws-certification-training
This Edureka PPT on AWS Cloud Practitioner will provide a complete guide to your AWS Cloud Practitioner Certification exam. It will explain the exam details, objectives, why you should get certified and also how AWS certification will help your career.
Follow us to never miss an update in the future.
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This document discusses infrastructure as code and the HashiCorp ecosystem. Infrastructure as code allows users to define and provision infrastructure through code rather than manual configuration. It can be used to launch, create, change, and downscale infrastructure based on configuration files. Tools like Terraform allow showing what changes will occur before applying them through files like main.tf and variables.tf. Terraform is part of the broader HashiCorp ecosystem of tools.
The document discusses infrastructure as code best practices on AWS. It provides an overview of using AWS CloudFormation to define infrastructure in code. AWS CloudFormation allows infrastructure to be provisioned in an automated and repeatable way using templates that are version controlled like code. The document outlines the key components of a CloudFormation template including parameters, mappings, resources, outputs and conditionals. It also discusses using CloudFormation to bootstrap applications on EC2 instances.
Microservice With Spring Boot and Spring CloudEberhard Wolff
Spring Boot and Spring Cloud are an ideal foundation for creating Microservices based on Java. This presentation explains basic concepts of these libraries.
Docker containers have become a key component of modern application design. Increasingly, developers are breaking their applications apart into smaller components and distributing them across a pool of compute resources.
This document discusses microservices, which are small focused tasks that can be invoked via events in Fedora to perform tasks like OCR, image manipulation, and file conversion. It describes two versions of microservices - a Python version and a PHP version. It outlines some advantages of microservices like reusability and consistency. It also describes a student project that integrated the old PHP microservices with Taverna workflow software to allow third party services. It provides instructions on installing, configuring, and running microservices including creating workflows in Taverna Workbench and triggering the services.
This document summarizes a presentation on "Infrastructure as Code" for beginners. It discusses automating deployment, provisioning, environments, and virtual machine management through continuous integration/delivery practices and configuration management tools. Specific topics covered include deployment pipelines, desired state configuration, separating configuration for different environments, immutable infrastructure patterns, building golden images, and infrastructure automation through tools like Ansible, Packer and Terraform. A demo is provided to illustrate these concepts in action.
YouTube Link: https://youtu.be/0djPrlaxx_U
Edureka AWS Architect Certification Training - https://www.edureka.co/aws-certification-training
This Edureka PPT on AWS Cloud Practitioner will provide a complete guide to your AWS Cloud Practitioner Certification exam. It will explain the exam details, objectives, why you should get certified and also how AWS certification will help your career.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
This document discusses infrastructure as code and the HashiCorp ecosystem. Infrastructure as code allows users to define and provision infrastructure through code rather than manual configuration. It can be used to launch, create, change, and downscale infrastructure based on configuration files. Tools like Terraform allow showing what changes will occur before applying them through files like main.tf and variables.tf. Terraform is part of the broader HashiCorp ecosystem of tools.
The document discusses infrastructure as code best practices on AWS. It provides an overview of using AWS CloudFormation to define infrastructure in code. AWS CloudFormation allows infrastructure to be provisioned in an automated and repeatable way using templates that are version controlled like code. The document outlines the key components of a CloudFormation template including parameters, mappings, resources, outputs and conditionals. It also discusses using CloudFormation to bootstrap applications on EC2 instances.
Microservice With Spring Boot and Spring CloudEberhard Wolff
Spring Boot and Spring Cloud are an ideal foundation for creating Microservices based on Java. This presentation explains basic concepts of these libraries.
Docker containers have become a key component of modern application design. Increasingly, developers are breaking their applications apart into smaller components and distributing them across a pool of compute resources.
The document discusses strategies for migrating IT workloads to the cloud. It describes common drivers for cloud migration like cost reduction and agility. Potential barriers are also outlined, such as existing investments and lack of cloud expertise. The main sections of the document are on migration planning, common migration strategies ranging from rehosting to rearchitecting, examples of migration patterns, and modernizing applications on AWS.
The document provides an overview of Microsoft's Cloud Adoption Framework (CAF) and discusses how it can help organizations plan and execute their cloud journey. The CAF is an iterative process that includes defining a cloud strategy, planning cloud adoption, preparing the environment, migrating workloads, governing resources, and managing operations. It discusses key aspects of each stage, such as assessing motivations, creating a business case, rationalizing existing systems, developing a skills plan, setting up initial governance, and establishing operations management processes. The document aims to guide organizations through all facets of cloud adoption using established best practices and native Azure tools.
This document provides an introduction to microservices. It begins by outlining the challenges of monolithic architecture such as long build/release cycles and difficulty scaling. It then introduces microservices as a way to decompose monolithic applications into independently deployable services. Key benefits of microservices include improved agility, scalability, and innovation. The document discusses microservice design principles like communicating over APIs, using the right tools for each service, securing services, and being a good citizen in the ecosystem. It provides examples of how to implement a restaurant microservice using AWS services like API Gateway, Lambda, DynamoDB and containers.
Windows Azure Active Directory presentation will show you how to set up your Azure AD account and how to connect existing ASP.NET MVC Web Application with Azure Active Directory to provide Single-Sign-On
Using HashiCorp’s Terraform to build your infrastructure on AWS - Pop-up Loft...Amazon Web Services
Using Terraform to automate your infrastructure on AWS. What is Terraform and how is it different from Ansible. How to control cloud deployments using Terraform.
The document provides an overview of Terraform and discusses why it was chosen over other infrastructure as code tools. It outlines an agenda covering Terraform installation, configuration, and use of data sources and resources to build example infrastructure including a VCN, internet gateway, subnets, and how to taint and destroy resources. The live demo then walks through setting up Terraform and using it to provision example OCI resources.
This document discusses serverless computing and AWS Lambda. It provides an overview of virtual machines, containers, and serverless/functions as a service. It describes how AWS Lambda works, including how to author functions using various programming languages. It also discusses how to integrate Lambda with other AWS services like API Gateway, Step Functions, S3, DynamoDB and more. It introduces the AWS Serverless Application Repository and AWS SAM for defining serverless applications.
This document discusses strategies for migrating applications to the cloud. It recommends a phased approach including assessing costs and architecture, building proof of concepts, migrating data, moving applications using a hybrid strategy, and optimizing in the cloud. Key considerations include existing technologies, people, finances, legal issues, and risks. A hybrid cloud approach allows flexibility while improving innovation, productivity, and reducing costs over time.
Learn how you'll be able to quickly develop, host, and scale applications within the AWS cloud with Red Hat's OpenShift. During this session, we walk you thru the straightforward method of deploying and managing your own Linux based application within the AWS cloud and will additionally discuss key use-cases and advantages to container platform configuration, deployment, and administration.
Google Cloud Platform Tutorial | GCP Fundamentals | EdurekaEdureka!
( Google Cloud Certification Training - Cloud Architect: https://www.edureka.co/google-cloud-a... ) This Tutorial on Google Cloud Platform will provide you a detailed introduction to GCP and it's Cloud Services Services. Learn why GCP is preferred over other cloud Providers and also learn about the various Zones and Regions where the servers are hosted.
This document provides an overview of the modules in an Amazon Web Services (AWS) certification training course. The training covers topics such as AWS services, security management, load balancing, databases, compute, networking, applications, automation, architectural designs, and DevOps tools. The objectives are to learn how to design scalable and fault-tolerant systems on AWS, efficiently manage data access and transfer, identify appropriate AWS services, apply architectural best practices, and estimate pricing. Completing this training would help students pursue careers as AWS Solutions Architects or Engineers and work with technologies like Amazon EC2, S3, DynamoDB, IAM, and more.
The document provides an overview of Red Hat OpenShift Container Platform, including:
- OpenShift provides a fully automated Kubernetes container platform for any infrastructure.
- It offers integrated services like monitoring, logging, routing, and a container registry out of the box.
- The architecture runs everything in pods on worker nodes, with masters managing the control plane using Kubernetes APIs and OpenShift services.
- Key concepts include pods, services, routes, projects, configs and secrets that enable application deployment and management.
An Overview of Best Practices for Large Scale Migrations - AWS Transformation...Amazon Web Services
Whether you are moving a small application or entire datacenters, migrating to the cloud can be a complex process. In this session, we will share some of the common challenges that our customers face on their journey to the cloud and discuss how these challenges can be overcome. We will outline the patterns of success that we have observed from partnering with hundreds of customers on their large-scale migrations as well as highlight the mechanisms we have created to help our customers migrate faster.
About the Event:
AWS Transformation Day is designed for enterprise organizations migrating to the cloud to become more responsive, agile and innovative, while staying secure and compliant. Join us for this one-day event and we’ll share our experiences of helping enterprise customers accelerate the pace of migration and adoption of strategic services.
Who should attend?
This event is recommended for IT and business leaders who are looking to create sustainable benefits and a competitive advantage by using the AWS Cloud. CIOs, CTOs, CISOs, CDOs, CFOs, IT leaders and IT professionals, enterprise developers, business decision makers, and finance executives.
View these slides if you're you new to cloud computing and would like to learn more about Amazon Web Services (AWS), if you intend to implement a project and would like to discover the basics of the AWS cloud or if you are a business looking to evaluate cloud computing, attend this webinar. In this recorded webinar, we answer the following questions:
• What is Cloud Computing with AWS and what benefits can it deliver?
• Who is using AWS and what are they using it for?
• How can I use AWS Services to run my workloads?
View the webinar: http://youtu.be/ybcV0sJ_T_I
On-premise to Microsoft Azure Cloud Migration.Emtec Inc.
This presentation sheds light on migrating on-premise apps to Microsoft Azure cloud. It also highlights the technical capabilities of Microsoft Azure cloud services.
How To Become A Cloud Engineer | Cloud Engineer Salary | Cloud Computing Engi...Simplilearn
This presentation on how to become a Cloud Computing Engineer will help you understand who is a cloud computing engineer, the different roles within cloud computing, the various steps to become a cloud computing engineer, and the salaries they can expect.
Cloud computing engineers are skilled professionals experienced in cloud computing platforms, programming languages, storage, networking, DevOps, and other cloud services.
Let us now take a look at how you can become a skilled cloud computing engineer.
Simplilearn’s Cloud Architect Master’s Program will build your Amazon Web Services (AWS) and Microsoft Azure cloud expertise from the ground up. You’ll learn to master the architectural principles and services of two of the top cloud platforms, design and deploy highly scalable, fault-tolerant applications and develop skills to transform yourself into an AWS and Azure cloud architect.
Why become a Cloud Architect?
With the increasing focus on cloud computing and infrastructure over the last several years, cloud architects are in great demand worldwide. Many organizations have moved to cloud platforms for better scalability, mobility, and security, and cloud solutions architects are among the highest paid professionals in the IT industry.
According to a study by Goldman Sachs, cloud computing is one of the top three initiatives planned by IT executives as they make cloud infrastructure an integral part of their organizations. According to Forbes, enterprise IT architects with cloud computing expertise are earning a median salary of $137,957.
Learn more at https://www.simplilearn.com/cloud-solutions-architect-masters-program-training
Cloud computing provides on-demand access to computing resources and IT services on a pay-as-you-go basis. Amazon Web Services (AWS) is a major cloud computing provider that offers servers and services accessible over the internet. AWS powers many large websites and provides users scalable access to computing resources located in data centers around the world organized into regions and availability zones. AWS offers a wide variety of computing, storage, database, analytics, machine learning and other services that users can access through AWS management consoles and APIs.
A proper Microservice is designed for fast failure.
Like other architectural style, microservices bring costs and benefits. Some development teams have found microservices architectural style to be a superior approach to a monolithic architecture. Other teams have found them to be a productivity-sapping burden.
This material start with the basic what and why microservice, follow with the Felix example and the the successful strategies to develop microservice application.
Moving from an on-premises environment into AWS is just the start of the journey towards cost optimisation. In this session we’ll look at a range of ways in which our customers can understand their costs and increase their return-on-investment: building the business case; selecting the right models for the right workloads; benefiting from tiered pricing aggregation; using data to drive the choice of AWS services; implementation of intelligent auto-scaling; and, where appropriate, re-platforming to make use of new architectural patterns such as Serverless.
Building a multitenant application with Django, a tutorial given at PyCon Nigeria 2019. This slide is based on the Django multitenant application documentation.
This document provides an overview of cloud computing. It begins with defining cloud computing and outlining its key characteristics: broad network access, resource pooling, elasticity, measured service, and self-service. It then discusses the benefits of cloud computing for organizations, including reducing costs, improving scalability and agility. It also covers the main cloud service models of IaaS, PaaS and SaaS. The document concludes with an overview of common cloud products and services, deployment models of public, private and hybrid clouds, and a quick recap of the key topics.
The document discusses strategies for migrating IT workloads to the cloud. It describes common drivers for cloud migration like cost reduction and agility. Potential barriers are also outlined, such as existing investments and lack of cloud expertise. The main sections of the document are on migration planning, common migration strategies ranging from rehosting to rearchitecting, examples of migration patterns, and modernizing applications on AWS.
The document provides an overview of Microsoft's Cloud Adoption Framework (CAF) and discusses how it can help organizations plan and execute their cloud journey. The CAF is an iterative process that includes defining a cloud strategy, planning cloud adoption, preparing the environment, migrating workloads, governing resources, and managing operations. It discusses key aspects of each stage, such as assessing motivations, creating a business case, rationalizing existing systems, developing a skills plan, setting up initial governance, and establishing operations management processes. The document aims to guide organizations through all facets of cloud adoption using established best practices and native Azure tools.
This document provides an introduction to microservices. It begins by outlining the challenges of monolithic architecture such as long build/release cycles and difficulty scaling. It then introduces microservices as a way to decompose monolithic applications into independently deployable services. Key benefits of microservices include improved agility, scalability, and innovation. The document discusses microservice design principles like communicating over APIs, using the right tools for each service, securing services, and being a good citizen in the ecosystem. It provides examples of how to implement a restaurant microservice using AWS services like API Gateway, Lambda, DynamoDB and containers.
Windows Azure Active Directory presentation will show you how to set up your Azure AD account and how to connect existing ASP.NET MVC Web Application with Azure Active Directory to provide Single-Sign-On
Using HashiCorp’s Terraform to build your infrastructure on AWS - Pop-up Loft...Amazon Web Services
Using Terraform to automate your infrastructure on AWS. What is Terraform and how is it different from Ansible. How to control cloud deployments using Terraform.
The document provides an overview of Terraform and discusses why it was chosen over other infrastructure as code tools. It outlines an agenda covering Terraform installation, configuration, and use of data sources and resources to build example infrastructure including a VCN, internet gateway, subnets, and how to taint and destroy resources. The live demo then walks through setting up Terraform and using it to provision example OCI resources.
This document discusses serverless computing and AWS Lambda. It provides an overview of virtual machines, containers, and serverless/functions as a service. It describes how AWS Lambda works, including how to author functions using various programming languages. It also discusses how to integrate Lambda with other AWS services like API Gateway, Step Functions, S3, DynamoDB and more. It introduces the AWS Serverless Application Repository and AWS SAM for defining serverless applications.
This document discusses strategies for migrating applications to the cloud. It recommends a phased approach including assessing costs and architecture, building proof of concepts, migrating data, moving applications using a hybrid strategy, and optimizing in the cloud. Key considerations include existing technologies, people, finances, legal issues, and risks. A hybrid cloud approach allows flexibility while improving innovation, productivity, and reducing costs over time.
Learn how you'll be able to quickly develop, host, and scale applications within the AWS cloud with Red Hat's OpenShift. During this session, we walk you thru the straightforward method of deploying and managing your own Linux based application within the AWS cloud and will additionally discuss key use-cases and advantages to container platform configuration, deployment, and administration.
Google Cloud Platform Tutorial | GCP Fundamentals | EdurekaEdureka!
( Google Cloud Certification Training - Cloud Architect: https://www.edureka.co/google-cloud-a... ) This Tutorial on Google Cloud Platform will provide you a detailed introduction to GCP and it's Cloud Services Services. Learn why GCP is preferred over other cloud Providers and also learn about the various Zones and Regions where the servers are hosted.
This document provides an overview of the modules in an Amazon Web Services (AWS) certification training course. The training covers topics such as AWS services, security management, load balancing, databases, compute, networking, applications, automation, architectural designs, and DevOps tools. The objectives are to learn how to design scalable and fault-tolerant systems on AWS, efficiently manage data access and transfer, identify appropriate AWS services, apply architectural best practices, and estimate pricing. Completing this training would help students pursue careers as AWS Solutions Architects or Engineers and work with technologies like Amazon EC2, S3, DynamoDB, IAM, and more.
The document provides an overview of Red Hat OpenShift Container Platform, including:
- OpenShift provides a fully automated Kubernetes container platform for any infrastructure.
- It offers integrated services like monitoring, logging, routing, and a container registry out of the box.
- The architecture runs everything in pods on worker nodes, with masters managing the control plane using Kubernetes APIs and OpenShift services.
- Key concepts include pods, services, routes, projects, configs and secrets that enable application deployment and management.
An Overview of Best Practices for Large Scale Migrations - AWS Transformation...Amazon Web Services
Whether you are moving a small application or entire datacenters, migrating to the cloud can be a complex process. In this session, we will share some of the common challenges that our customers face on their journey to the cloud and discuss how these challenges can be overcome. We will outline the patterns of success that we have observed from partnering with hundreds of customers on their large-scale migrations as well as highlight the mechanisms we have created to help our customers migrate faster.
About the Event:
AWS Transformation Day is designed for enterprise organizations migrating to the cloud to become more responsive, agile and innovative, while staying secure and compliant. Join us for this one-day event and we’ll share our experiences of helping enterprise customers accelerate the pace of migration and adoption of strategic services.
Who should attend?
This event is recommended for IT and business leaders who are looking to create sustainable benefits and a competitive advantage by using the AWS Cloud. CIOs, CTOs, CISOs, CDOs, CFOs, IT leaders and IT professionals, enterprise developers, business decision makers, and finance executives.
View these slides if you're you new to cloud computing and would like to learn more about Amazon Web Services (AWS), if you intend to implement a project and would like to discover the basics of the AWS cloud or if you are a business looking to evaluate cloud computing, attend this webinar. In this recorded webinar, we answer the following questions:
• What is Cloud Computing with AWS and what benefits can it deliver?
• Who is using AWS and what are they using it for?
• How can I use AWS Services to run my workloads?
View the webinar: http://youtu.be/ybcV0sJ_T_I
On-premise to Microsoft Azure Cloud Migration.Emtec Inc.
This presentation sheds light on migrating on-premise apps to Microsoft Azure cloud. It also highlights the technical capabilities of Microsoft Azure cloud services.
How To Become A Cloud Engineer | Cloud Engineer Salary | Cloud Computing Engi...Simplilearn
This presentation on how to become a Cloud Computing Engineer will help you understand who is a cloud computing engineer, the different roles within cloud computing, the various steps to become a cloud computing engineer, and the salaries they can expect.
Cloud computing engineers are skilled professionals experienced in cloud computing platforms, programming languages, storage, networking, DevOps, and other cloud services.
Let us now take a look at how you can become a skilled cloud computing engineer.
Simplilearn’s Cloud Architect Master’s Program will build your Amazon Web Services (AWS) and Microsoft Azure cloud expertise from the ground up. You’ll learn to master the architectural principles and services of two of the top cloud platforms, design and deploy highly scalable, fault-tolerant applications and develop skills to transform yourself into an AWS and Azure cloud architect.
Why become a Cloud Architect?
With the increasing focus on cloud computing and infrastructure over the last several years, cloud architects are in great demand worldwide. Many organizations have moved to cloud platforms for better scalability, mobility, and security, and cloud solutions architects are among the highest paid professionals in the IT industry.
According to a study by Goldman Sachs, cloud computing is one of the top three initiatives planned by IT executives as they make cloud infrastructure an integral part of their organizations. According to Forbes, enterprise IT architects with cloud computing expertise are earning a median salary of $137,957.
Learn more at https://www.simplilearn.com/cloud-solutions-architect-masters-program-training
Cloud computing provides on-demand access to computing resources and IT services on a pay-as-you-go basis. Amazon Web Services (AWS) is a major cloud computing provider that offers servers and services accessible over the internet. AWS powers many large websites and provides users scalable access to computing resources located in data centers around the world organized into regions and availability zones. AWS offers a wide variety of computing, storage, database, analytics, machine learning and other services that users can access through AWS management consoles and APIs.
A proper Microservice is designed for fast failure.
Like other architectural style, microservices bring costs and benefits. Some development teams have found microservices architectural style to be a superior approach to a monolithic architecture. Other teams have found them to be a productivity-sapping burden.
This material start with the basic what and why microservice, follow with the Felix example and the the successful strategies to develop microservice application.
Moving from an on-premises environment into AWS is just the start of the journey towards cost optimisation. In this session we’ll look at a range of ways in which our customers can understand their costs and increase their return-on-investment: building the business case; selecting the right models for the right workloads; benefiting from tiered pricing aggregation; using data to drive the choice of AWS services; implementation of intelligent auto-scaling; and, where appropriate, re-platforming to make use of new architectural patterns such as Serverless.
Building a multitenant application with Django, a tutorial given at PyCon Nigeria 2019. This slide is based on the Django multitenant application documentation.
This document provides an overview of cloud computing. It begins with defining cloud computing and outlining its key characteristics: broad network access, resource pooling, elasticity, measured service, and self-service. It then discusses the benefits of cloud computing for organizations, including reducing costs, improving scalability and agility. It also covers the main cloud service models of IaaS, PaaS and SaaS. The document concludes with an overview of common cloud products and services, deployment models of public, private and hybrid clouds, and a quick recap of the key topics.
The document discusses cloud computing delivery and deployment models. It defines cloud computing according to the National Institute of Standards and Technology (NIST) as a model for enabling network access to configurable computing resources that can be rapidly provisioned with minimal management effort. There are five essential cloud characteristics: on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. The four deployment models are public cloud, private cloud, community cloud, and hybrid cloud. The three main service models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
The document discusses cloud computing, including what it is, its history and benefits. It defines cloud as the delivery of computing services over the internet and discusses common cloud characteristics like on-demand self-service and rapid elasticity. It describes the different cloud models including infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS). The document also provides an overview of Microsoft Azure, a flexible cloud platform, and concludes by noting that while cloud computing offers benefits, security remains a challenge that could slow adoption.
Cloud computing is the delivery of computing services like servers, storage, databases, networking, software and more over the internet. It provides access to advanced software applications and networks of server computers that are managed by third-party services. There are different cloud models including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). While cloud computing provides benefits like reduced costs, improved performance and scalability, concerns around security and limited control of infrastructure remain challenges.
Cloud computing refers to delivering computing services over the internet. It allows users to access resources and services on-demand without needing to manage physical infrastructure. There are three main cloud service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides virtual computing resources, PaaS offers platforms for developing applications, and SaaS delivers software through web browsers. Cloud deployment models include public, private, hybrid, community, and multi-cloud options.
This document discusses multi-tenancy in software as a service applications using the MVC3 framework and Entity Framework. It defines tenants as users who occupy rented space in a application. It describes how multi-tenant applications like Highrise, Jira and Yay isolate user data while providing each tenant their own interface. The key aspect is the data architecture, which can be separate databases for each tenant, separate schemas within a shared database, or a shared schema. The best approach depends on factors like cost, security, tenant needs and development skills. The document presents an architecture used by YayCRM that supports all these data approaches through a centralized metadata database and tenant databases that can be distributed, expanded or tenants moved between databases.
This document provides an overview and introduction to key concepts in Azure cloud computing, including:
- Cloud models such as public, private, and hybrid clouds and how they differ.
- Benefits of the cloud such as scalability, elasticity, and pay-per-use models, as well as considerations around control and costs.
- Core Azure services including compute options like virtual machines and app services, networking, storage, and databases.
- Architectural components that enable deploying and managing Azure resources like regions, availability zones, resource groups, and subscriptions.
he storing of data and applications on remote servers, and accessing them via the internet rather than saving and installing them on your personal or office computer.
The term cloud is used because data or applications are stored in cloud or collection of web servers.
The cloud can be accessed using cloud computing interface software or using a web based service.
Infrastructure as a service(IaaS).
Platform as a service(PaaS).
Software as a service(SaaS).
This document defines key cloud computing and cloud storage terms and concepts. It distinguishes between cloud storage, which saves and shares data, and cloud computing, which allows remote work on data. Key differences are that cloud computing requires more processing power while cloud storage needs more storage space. The document also outlines public, private, and hybrid cloud models and major cloud vendors. It introduces cloud mapping as a service that maintains updated resource locations.
The document discusses cloud computing and data security. It provides an overview of cloud computing including deployment models, service models, and sub-service models. It also discusses key aspects of cloud data security such as authentication using OTP, encryption of data using strong algorithms, and ensuring data integrity through hashing. The proposed cloud data security model uses three levels of defense - strong authentication through OTP, automatic encryption of data using a fast and strong algorithm, and fast recovery of user data.
Cloud computing allows users to access computing resources over the network. It has several key characteristics including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. There are three main service models (Software as a Service, Platform as a Service, and Infrastructure as a Service) and four deployment models (private cloud, community cloud, public cloud, and hybrid cloud). Achieving high performance, availability, and manageability in cloud computing requires techniques like virtualization, parallel processing, fault tolerance, load balancing and automation.
Sukumar Nayak-Detailed-Cloud Risk Management and AuditSukumar Nayak
The document provides an overview of cloud risk management and auditing. It discusses cloud fundamentals, models, and frameworks such as OpenStack, CSA Cloud Control Matrix, and DMTF Cloud Auditing Data Federation. It also covers risks, challenges, and the 10 steps to manage cloud security from CSCC. The objective is to introduce cloud risk management and audit topics.
This presentation will give you some insight about Mobile Cloud Computing. This is an emerging technology and I provided basic details to explore this specific technology aligned with market leading products and their comparisons
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services available over the internet. It allows users to access applications from anywhere using a web browser. Cloud computing offers advantages like cost savings, speed, security, unlimited storage and access to data from anywhere. While cloud services like AWS have become very popular, cloud computing also presents risks like security vulnerabilities and inconsistent performance on shared infrastructure. The growth of cloud computing is impacting IT jobs by creating new roles while reducing needs for some traditional IT positions.
The three main qualities that any firm seeks in their applications are flexibility, scalability, and ease of customization. A SaaS architecture is the only option that can satisfy these needs. Learn about its architecture types, models, and advantages for a successful market expansion.
Similar to Microsoft: Multi-tenant SaaS with Azure (20)
Experience the evolution of artificial intelligence with EinsteinGPT. Let AI guide your path to better, more informed decisions on the Salesforce platform, and enter the era of sharper, highly efficient Salesforce Generative AI intelligence. Curious for More? Stay Tuned for Our Upcoming Salesforce EinsteinGPT Series!
Unlock the Power of Connected Medical Devices!
Discover the Future of Seamlessly Integrated Systems with AIMDek's EHR friendly data Interoperability Services. Serve larger customer bases and extend your data sets to payers, providers, CROs and others with HL7 FHIR data compatibility.
Empowering MedTech with Secure Medical Wearables! Ensuring patient data safety and integrity through cutting-edge Bluetooth Low Energy (BLE) cyber security. Know how AIMDek is revolutionizing the future of healthcare technology!
Einstein Function is an intelligent CRM system that helps build apps, streamline business processes and workflows for every function & industry.
Let's understand what Einstein Bot acts like and how it operates.
Let's learn about :
What is RabbitMQ ?
Why RabbitMQ ?
RabbitMQ vs Kafka ? Which one is suitable for your purpose.
Advantages of RabbitMQ
Support By RabbitMQ
RabbitMQ is one part of Message Broker that implemented Advance Message Queue Protocol (AMQP), that help your application to communicate each other, when you extends your application scale.
In this presentation we'll cover an Introduction to Einstein Bots:
Introduction of Einstein
Introduction of Einstein Bot
Plan your Einstein Bot
Create an Einstein Bot
Steps to build Einstein Bot
This document introduces APIs, REST APIs, and RAML. It defines an API as a set of definitions and protocols for building and integrating application software. REST APIs use HTTP requests to work with resources like GET and POST, and support multiple data formats including JSON. RAML makes it easy to design, manage, and deploy RESTful APIs through a YAML-based language that can be interacted with through a console without other tools. It provides a basic API structure automatically based on the RAML code.
Gamification is a technique which UX Designers use to insert gameplay elements in non-gaming settings like Mobile Application and Websites, so they enhance user engagement with a product or service. Let's learn more about it.
This document provides an introduction to blockchain technology. It defines key blockchain concepts like blocks, blockchains, consensus algorithms, and mining. It explains how blockchain works through transactions being grouped into blocks and added to the distributed ledger across nodes in the network. Examples of real-world blockchain applications are given for voting systems, supply chain management, and healthcare data sharing. Benefits of blockchain include transparency, decentralization, and open source development, while challenges include limited production experience and need for customer education.
AWS Summit : Digital Transformation and Innovation with CloudAIMDek Technologies
The document outlines an AWS Summit agenda covering digital transformation with cloud services, security services, and AWS media services. It discusses how AWS started with its own data centers but faced challenges with underutilized assets and slow deployments. It then describes various AWS compute, storage, database, and security services. Specifically, it outlines IAM for access management, CloudTrail for monitoring account activity, and several media services for video preparation, processing, and delivery. Diagrams illustrate example media workflows. The presentation aims to help organizations innovate with AWS cloud services.
Apache Kafka is an open-source distributed event streaming platform used for building real-time data pipelines and streaming apps. It was developed by LinkedIn in 2011 to solve problems with data integration and processing. Kafka uses a publish-subscribe messaging model and is designed to be fast, scalable, and durable. It allows both streaming and storage of data and acts as a central data backbone for large organizations.
Serverless computing is an emerging cloud computing model where the cloud provider manages resources and scales applications automatically in response to demand. With serverless, developers focus on writing code for independent, stateless functions rather than worrying about servers. Serverless platforms support automatic scaling, pay-per-use pricing, and event-driven computing using functions as the basic unit. While serverless offers benefits like reduced costs and management overhead, it also presents drawbacks like vendor lock-in and lack of debugging access.
Introduction to Artificial Intelligence and Machine Learning with Python AIMDek Technologies
The document provides an overview of an introduction to artificial intelligence and machine learning with Python. It includes an agenda that covers playing a game to understand concepts, overview of AI and machine learning, introduction to Python, a Python demo, details on AI, machine learning, and solving the initial game. Key concepts explained are the differences between AI, machine learning, and deep learning. Reasons for using Python for AI and ML are also provided.
Leveraging smart technologies to transform the new challenging healthcare ind...AIMDek Technologies
How do we help people in the #healthcare industry in the middle of the pandemic recovery?
The #healthcare sector is encountering a huge wave of changes in healthcare policies and regulations which in turn are modifying the environment for payers, care providers and other life-science companies.
With AIMDek's industry expertise we deliver mainstream healthcare solutions, bespoke solutions, advanced technology solutions and other support and consulting capabilities while addressing the HIPAA/HITECH regulatory compliances.
Ready to empower healthcare innovation in your organization? Let our team of experts plan, build and manage a comprehensive digital healthcare strategy for you. https://buff.ly/2nvwebV
Smarter businesses process mean growing business, isn't it?
Learn how to make every part of your business smarter enabling #Intelligence with Salesforce Einstein with our webinar.
1. Getting introduced to AI and Salesforce Einstein
2. AI for smarter business
3. How to use Salesforce Einstein Artificial Intelligence
and much more...
Ask our experts Devarshi Choksi and Priyanka Lakhani how to work out with defined strategies and actionable insights to get the right deliverables.
For more info visit https://www.aimdek.com/
What you'll get to learn :
Introduction: Healthcare IT and Liferay
Importance of Healthcare IT
Future of Healthcare
How Smart Healthcare is the game changer?
Challenges - Healthcare IT
How to overcome the challenges?
Liferay for digital transformation
Liferay for Healthcare IT
Why Liferay for healthcare IT solution?
Benefits of having unified omnichannel healthcare experience platform
Liferay case studies for Healthcare IT
How AIMDek can help ?
Q&A Session
This document summarizes a webinar on Continuous Integration (CI) and Continuous Deployment (CD) on Salesforce. It introduces CI/CD, their importance and challenges. It outlines best practices for implementing CI/CD on Salesforce, including using version control, frequent small commits, quick smoke tests, staging environments, and deployment tools like Force Migration Tool (ANT). The webinar presenters then demonstrate the CI/CD process and implementation using ANT build files, source control, and a build server.
Kotlin- Programming Language For Modern Multi-Platform ApplicationsAIMDek Technologies
This document discusses Kotlin, a programming language for modern multi-platform applications. It provides background on Kotlin, including its history and why it was created. Real-world applications of Kotlin at companies like Pinterest, Uber and Coursera are also highlighted. The document concludes by comparing Kotlin to Java and providing an example of Kotlin code using an extension function.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
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.
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.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
2. Agenda
• SaaS concepts and terminology
• How to choose the appropriate tenancy model
• SaaS Design Patterns
• Standalone app
• Database-per-tenant
• Sharded multi-tenant
• Tenancy models compared
• Demo
3. SaaS concepts and terminology
In the Software as a Service (SaaS) model, your company does not sell licenses to your software.
Instead, each customer makes rent payments to your company, making each customer a tenant
of your company.
In return for paying rent, each tenant receives access to your SaaS application components, and
has its data stored in the SaaS system.
The term tenancy model refers to how tenant’s stored data is organized:
• Single-tenancy: Each database stores data from only one tenant.
• Multi-tenancy: Each database stores data from multiple separate tenants (with
mechanisms to protect data privacy).
• Hybrid tenancy models are also available.
4. How to choose the appropriate tenancy model
● Scalability:
○ Number of tenants.
○ Storage per-tenant.
○ Storage in aggregate.
○ Workload.
● Tenant Isolation: Data isolation
and performance (whether one
tenant's workload impacts others).
● Per-tenant cost: Database costs.
● Development complexity:
○ Changes to schema.
○ Changes to queries (required
by the pattern).
● Operational complexity:
○ Monitoring and managing
performance.
○ Schema management.
○ Restoring a tenant.
○ Disaster recovery.
● Customizability: Ease of
supporting schema customizations
that are either tenant-specific or
tenant class-specific.
5. SaaS Design Patterns
• Standalone single-tenant app with single-tenant
database
• Multi-tenant app with database-per-tenant
• Multi-tenant app with multi-tenant databases
• Multi-tenant app with a single multi-tenant
database
• Multi-tenant app with sharded multi-tenant
databases
• Hybrid sharded multi-tenant database model