Saa s multitenant database architecturemmubashirkhan
The document discusses cloud computing and service models including SaaS, PaaS, and IaaS. It then describes challenges with multitenant databases and proposes two solutions. The first proposes an efficient shared schema approach with authentication and authorization. The second proposes a non-intrusive database for large-scale SaaS with data isolation, security, and scalability. It compares the solutions and recommends backup strategies, encrypted data storage, and unique ID generation.
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 of Command Query Responsibility Segregation (CQRS). It discusses some of the problems CQRS aims to solve, such as data-centric applications being CRUD-based and focusing on frameworks over the domain. CQRS separates commands, which capture user intent and mutate data, from queries, which return data without side effects. Commands and events update aggregate states and are handled asynchronously. Queries operate on denormalized read models optimized for specific views. This allows for quick queries without mappings and eventual consistency by working with stale but optimized data.
Srinath Perera discusses multi-tenancy and why it is crucial for implementing a Platform as a Service (PaaS). He outlines four levels of multi-tenancy maturity and how WSO2's Carbon platform achieves tenant isolation through separate security domains, databases, and execution contexts while maintaining performance and scalability. Implementing multi-tenancy requires balancing tenant isolation with efficient resource sharing and introduces challenges around data security, tenant migration, and scaling to large numbers of tenants.
Building Multi-tenant SaaS Applications using WSO2 Private PaaSSameera Jayasoma
WSO2 Private PaaS is a multi-tenant Platform as a Service that provides core services like multi-tenancy, logging, identity management, and analytics. It allows SaaS applications to fulfill requirements from both a consumer and provider perspective such as isolation, availability, scalability, personalization, and costs. Non-Carbon applications on WSO2 Private PaaS can achieve some level of multi-tenancy by maintaining separate instances for each tenant, while Carbon-based applications can leverage APIs for identity, security, caching, and retrieving tenant context. The document recommends using WSO2 Private PaaS to develop the survey application due to its support for multi-tenancy and other capabilities required of a
The presentation is about multi-tenant architecture and the approaches of managing multi-tenant data. It describes SQL Azure Federation technology which allows to design one of the approaches - data sharding. Several examples of SQL commands show you how the data can be partitioned and how you can access and manage it.
This document discusses server consolidation using SQL Server 2008. It describes options for consolidating multiple databases, instances, or virtual servers onto a single physical server to reduce hardware costs while maintaining isolation and flexibility. It also covers manageability features for centralized administration, auditing, configuration, and monitoring across multiple consolidated servers. SQL Server 2008 technologies like Resource Governor allow differentiating and prioritizing workloads to improve utilization and scalability.
Saa s multitenant database architecturemmubashirkhan
The document discusses cloud computing and service models including SaaS, PaaS, and IaaS. It then describes challenges with multitenant databases and proposes two solutions. The first proposes an efficient shared schema approach with authentication and authorization. The second proposes a non-intrusive database for large-scale SaaS with data isolation, security, and scalability. It compares the solutions and recommends backup strategies, encrypted data storage, and unique ID generation.
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 of Command Query Responsibility Segregation (CQRS). It discusses some of the problems CQRS aims to solve, such as data-centric applications being CRUD-based and focusing on frameworks over the domain. CQRS separates commands, which capture user intent and mutate data, from queries, which return data without side effects. Commands and events update aggregate states and are handled asynchronously. Queries operate on denormalized read models optimized for specific views. This allows for quick queries without mappings and eventual consistency by working with stale but optimized data.
Srinath Perera discusses multi-tenancy and why it is crucial for implementing a Platform as a Service (PaaS). He outlines four levels of multi-tenancy maturity and how WSO2's Carbon platform achieves tenant isolation through separate security domains, databases, and execution contexts while maintaining performance and scalability. Implementing multi-tenancy requires balancing tenant isolation with efficient resource sharing and introduces challenges around data security, tenant migration, and scaling to large numbers of tenants.
Building Multi-tenant SaaS Applications using WSO2 Private PaaSSameera Jayasoma
WSO2 Private PaaS is a multi-tenant Platform as a Service that provides core services like multi-tenancy, logging, identity management, and analytics. It allows SaaS applications to fulfill requirements from both a consumer and provider perspective such as isolation, availability, scalability, personalization, and costs. Non-Carbon applications on WSO2 Private PaaS can achieve some level of multi-tenancy by maintaining separate instances for each tenant, while Carbon-based applications can leverage APIs for identity, security, caching, and retrieving tenant context. The document recommends using WSO2 Private PaaS to develop the survey application due to its support for multi-tenancy and other capabilities required of a
The presentation is about multi-tenant architecture and the approaches of managing multi-tenant data. It describes SQL Azure Federation technology which allows to design one of the approaches - data sharding. Several examples of SQL commands show you how the data can be partitioned and how you can access and manage it.
This document discusses server consolidation using SQL Server 2008. It describes options for consolidating multiple databases, instances, or virtual servers onto a single physical server to reduce hardware costs while maintaining isolation and flexibility. It also covers manageability features for centralized administration, auditing, configuration, and monitoring across multiple consolidated servers. SQL Server 2008 technologies like Resource Governor allow differentiating and prioritizing workloads to improve utilization and scalability.
This document provides an introduction to Azure SQL Database. It describes Azure SQL Database as a fully managed relational database service. It notes that Azure SQL Database differs from SQL Server in some ways, such as not supporting certain T-SQL constructs and commands. The document also discusses server provisioning, database deployment, monitoring, and new service tiers for Azure SQL Database that offer different levels of scalability, performance, and business continuity features.
A cloud database management system (CDBMS) is a database management system hosted by a third party on remote servers and accessed over the Internet, whereas a traditional database system is installed locally. A CDBMS can be deployed in three ways: as a virtual machine image managed by the customer, as a database as a service managed by the provider, or as a fully managed hosting service. Before deploying a CDBMS, an organization should consider its performance, budget, data governance, and staffing requirements as a CDBMS may not provide the same level of performance as a local system and has different compliance implications.
33. dynamic resource allocation using virtual machinesmuhammed jassim k
At Softroniics we provide job oriented training for freshers in IT sector. We are Pioneers in all leading technologies like Android, Java, .NET, PHP, Python, Embedded Systems, Matlab, NS2, VLSI etc. We are specializiling in technologies like Big Data, Cloud Computing, Internet Of Things (iOT), Data Mining, Networking, Information Security, Image Processing, Mechanical, Automobile automation and many other. We are providing long term and short term internship also.
We are providing short term in industrial training, internship and inplant training for Btech/Bsc/MCA/MTech students. Attached is the list of Topics for Mechanical, Automobile and Mechatronics areas.
MD MANIKANDAN-9037291113,04954021113
softroniics@gmail.com
A private cloud differs from a virtual private server (VPS) in many ways, including the cost that is involved and the location of the hardware, among other differences.
The document discusses various techniques for scaling databases and applications, including caching, replication, functional partitioning, sharding, batching, buffering, queuing, and background processing. It provides examples of when and how to implement these techniques, as well as considerations around caching policies, data distribution strategies, and managing asynchronous replication. The goal is to optimize performance and scalability through techniques that reduce round trips, parallelize operations, and distribute load across servers and databases.
This document provides an overview of Microsoft Azure data services including SQL Database, SQL on IaaS, NoSQL blobs and files, and queue storage. It discusses the basics of SQL Database as a fully managed database service that scales elastically. It also covers selecting the right SQL Database edition based on performance needs and business continuity requirements. Finally, it briefly introduces blob storage, queue storage, and table storage concepts in Azure.
Sql connections germany - migration considerations when migrating your on pre...Charley Hanania
This document discusses considerations for migrating an on-premise SQL Server database system to SQL Azure. It provides an overview of the existing on-premise system and SQL Azure capabilities. Key challenges of the migration include determining which data to store where based on cost and performance, implementing connectivity retry logic to handle throttling and faults, and designing a cost-driven architecture in the cloud. The document recommends migrating sensor data and databases to SQL Azure while using Azure services like Data Sync and Analysis Services.
this is the slides from the talk i gave at DevGeekWeek2014
further details are in my blog: http://blogs.microsoft.co.il/iblogger/2014/06/25/devgeekweek-2014-slides-and-demos/
Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Enviro...SaikiranReddy Sama
In Dynamic Resource Allocation, WE PRESENT A SYSTEM THAT USES VIRTUALIZATION TECHNOLOGY TO ALLOCATE DATA CENTER RESOURCES DYNAMICALLY.
WE INTRODUCE THE CONCEPT OF “SKEWNESS”.
And BY MINIMIZING SKEWNESS, WE CAN COMBINE DIFFERENT TYPES OF WORKLOADS NICELY AND IMPROVE THE OVERALL UTILIZATION OF SERVER RESOURCES.
WE DEVELOP A SET OF HEURISTICS THAT PREVENT OVERLOAD IN THE SYSTEM EFFECTIVELY WHILE SAVING ENERGY USED.
Dynamic resource Allocation using Virtual Machines For Cloud Computing
Optimal Azure Database Development by Karel CoenyeITProceed
This document discusses best practices for developing applications on Azure Database. It covers topics like database throughput units (DTUs) and how they impact cost, designing for performance by limiting heavy operations and contention, using stateful and stateless databases appropriately, replicating and synchronizing data across databases, and managing data consistency through approaches like eventual and strong consistency. The goal is to help optimize costs and scalability when building applications on Azure Database.
This document proposes using Moonshot to enable federated credentials to sign into command line and rich client infrastructure securely. It outlines goals, challenges, a proposed deployment involving RADIUS and SAML federations, logical and sequence diagrams, and questions around implementation including how local and central components interact with Moonshot and considerations around schema, costs, limitations and automation. The proposal is intended to stimulate discussion.
Scaling distributed data systems: A LinkedIn Case studySai Kiran Kanuri
Scaling a stateless system like web servers & application servers are pretty well understood, but scaling a stateful system has its own set of challenges. In this presentation, we hope to present our learnings & challenges faced while scaling a NoSQL database used within LinkedIn. Scaling a data system involves significant movement & replication of data within in a cluster. This can put considerable load on a system that is already running hot, affecting the service experience
We will look at some of the challenges & the approaches that we took.
A 2-tier architecture involves clients communicating directly with servers that hold both the application and data tiers. A 3-tier architecture separates these functions into distinct tiers - clients interact with an application server tier that provides requested resources by accessing a separate data server tier. This separation of concerns allows for improved scalability, portability, and maintainability compared to a 2-tier architecture. Common web, application and database servers are discussed.
Azure SQL DB V12 at your service by Pieter VanhoveITProceed
Microsoft Azure SQL Database came in the picture when nobody was talking about cloud computing. Since that time, Azure SQL Database has known many versions but was rather limited in functionality. Backing up your database was not possible, the size of your database was limited, heap tables were not allowed…
Last November, Microsoft reached another milestone by introducing near-complete SQL Server engine compatibility and more premium performance. So, let’s get ready for this new release! I will to take you on a tour around the new Microsoft Azure SQL Database world. You will get an overview of the fundamentals of Microsoft Azure SQL Database administration – What’s new in the latest Update V12 – Azure SQL Database Auditing – Dynamic Data Masking – Row Level Security and many more. After attending this session you will have a good idea which features can be helpful to move your production database to Microsoft Azure SQL Database.
Multi-Tenant SOA Middleware for Cloud ComputingSrinath Perera
This document discusses the need for multi-tenant SOA middleware for cloud computing. It outlines the challenges of implementing multi-tenancy and describes WSO2's Carbon platform and its architecture for achieving tenant isolation at different layers. The architecture isolates tenants through separate security domains, a multi-tenant registry implementation, and tenant-specific Axis2 contexts. It also discusses scaling and monitoring open challenges.
Efficient Resource Allocation to Virtual Machine in Cloud Computing Using an ...ijceronline
The focus of the paper is to generate an advance algorithm of resource allocation and load balancing that can deduced and avoid the dead lock while allocating the processes to virtual machine. In VM while processes are allocate they executes in queue , the first process get resources , other remains in waiting state .As rest of VM remains idle . To utilize the resources, we have analyze the algorithm with the help of First-Come, First-Served (FCFS) Scheduling, Shortest-Job-First (SJR) Scheduling, Priority Scheduling, Round Robin (RR) and CloudSIM Simulator.
Dynamic resource allocation using virtual machines for cloud computing enviro...IEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
Por trás da infraestrutura do Cloud - Campus Party 2014Gleicon Moraes
This document discusses infrastructure as a service (IaaS) cloud computing models. It defines IaaS according to NIST and Wikipedia as allowing consumers to provision processing, storage, networks and other computing resources to deploy and run arbitrary software. The consumer does not manage the underlying infrastructure directly but has control over operating systems and applications. Common IaaS resources include virtual machines, storage, networking and security services. The document also discusses common cloud computing building blocks like compute, storage, networking and management services.
The startup intends to migrate its monolithic application to a microservices architecture to improve scalability, availability, and maintainability. Key objectives for the new architecture include service discovery, autoscaling of microservices, database design, load balancing, and avoiding downtime. The proposed architecture uses Kubernetes for container orchestration, includes an API gateway and load balancers for traffic routing, allows each microservice to have its own database, and implements fault tolerance techniques like retries and caching. The architecture would be deployed on AWS for its managed services.
This document provides an introduction to the Command Query Responsibility Segregation (CQRS) pattern for building scalable multi-user systems. CQRS separates read and write operations by using different models and data stores for each. Commands represent write operations that mutate state, while queries return data without modifying it. The CQRS pattern is useful for large, distributed systems with complex business logic where separating reads and writes can improve scalability. It allows splitting development tasks between teams and optimizing read and write operations independently. The document reviews the key components of CQRS including commands, events, domain objects, and persistent view models and provides an example implementation using .NET.
Cqrs and Event Sourcing Intro For Developerswojtek_s
The document provides an introduction to CQRS and Event Sourcing patterns. It defines CQRS as separating operations that mutate data from those that query it. Benefits include improved performance, scalability, and team organization. Event Sourcing is described as managing state by appending events rather than altering state, allowing reconstruction of past states. Examples of implementing CQRS evolutionarily are given, from separating commands and queries to using separate models and storage engines. Pros and cons of both patterns are outlined. The document concludes with advice on when and how to apply these patterns.
CQRS with dot net services presentation.Knoldus Inc.
Command Query Responsibility Segregation (CQRS) is a pattern that separates the concerns of reading and writing data in an application. It provides a clear separation between commands that modify data (write operations) and queries that retrieve data (read operations). By using CQRS, we can achieve a more maintainable and scalable architecture.
This document provides an introduction to Azure SQL Database. It describes Azure SQL Database as a fully managed relational database service. It notes that Azure SQL Database differs from SQL Server in some ways, such as not supporting certain T-SQL constructs and commands. The document also discusses server provisioning, database deployment, monitoring, and new service tiers for Azure SQL Database that offer different levels of scalability, performance, and business continuity features.
A cloud database management system (CDBMS) is a database management system hosted by a third party on remote servers and accessed over the Internet, whereas a traditional database system is installed locally. A CDBMS can be deployed in three ways: as a virtual machine image managed by the customer, as a database as a service managed by the provider, or as a fully managed hosting service. Before deploying a CDBMS, an organization should consider its performance, budget, data governance, and staffing requirements as a CDBMS may not provide the same level of performance as a local system and has different compliance implications.
33. dynamic resource allocation using virtual machinesmuhammed jassim k
At Softroniics we provide job oriented training for freshers in IT sector. We are Pioneers in all leading technologies like Android, Java, .NET, PHP, Python, Embedded Systems, Matlab, NS2, VLSI etc. We are specializiling in technologies like Big Data, Cloud Computing, Internet Of Things (iOT), Data Mining, Networking, Information Security, Image Processing, Mechanical, Automobile automation and many other. We are providing long term and short term internship also.
We are providing short term in industrial training, internship and inplant training for Btech/Bsc/MCA/MTech students. Attached is the list of Topics for Mechanical, Automobile and Mechatronics areas.
MD MANIKANDAN-9037291113,04954021113
softroniics@gmail.com
A private cloud differs from a virtual private server (VPS) in many ways, including the cost that is involved and the location of the hardware, among other differences.
The document discusses various techniques for scaling databases and applications, including caching, replication, functional partitioning, sharding, batching, buffering, queuing, and background processing. It provides examples of when and how to implement these techniques, as well as considerations around caching policies, data distribution strategies, and managing asynchronous replication. The goal is to optimize performance and scalability through techniques that reduce round trips, parallelize operations, and distribute load across servers and databases.
This document provides an overview of Microsoft Azure data services including SQL Database, SQL on IaaS, NoSQL blobs and files, and queue storage. It discusses the basics of SQL Database as a fully managed database service that scales elastically. It also covers selecting the right SQL Database edition based on performance needs and business continuity requirements. Finally, it briefly introduces blob storage, queue storage, and table storage concepts in Azure.
Sql connections germany - migration considerations when migrating your on pre...Charley Hanania
This document discusses considerations for migrating an on-premise SQL Server database system to SQL Azure. It provides an overview of the existing on-premise system and SQL Azure capabilities. Key challenges of the migration include determining which data to store where based on cost and performance, implementing connectivity retry logic to handle throttling and faults, and designing a cost-driven architecture in the cloud. The document recommends migrating sensor data and databases to SQL Azure while using Azure services like Data Sync and Analysis Services.
this is the slides from the talk i gave at DevGeekWeek2014
further details are in my blog: http://blogs.microsoft.co.il/iblogger/2014/06/25/devgeekweek-2014-slides-and-demos/
Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Enviro...SaikiranReddy Sama
In Dynamic Resource Allocation, WE PRESENT A SYSTEM THAT USES VIRTUALIZATION TECHNOLOGY TO ALLOCATE DATA CENTER RESOURCES DYNAMICALLY.
WE INTRODUCE THE CONCEPT OF “SKEWNESS”.
And BY MINIMIZING SKEWNESS, WE CAN COMBINE DIFFERENT TYPES OF WORKLOADS NICELY AND IMPROVE THE OVERALL UTILIZATION OF SERVER RESOURCES.
WE DEVELOP A SET OF HEURISTICS THAT PREVENT OVERLOAD IN THE SYSTEM EFFECTIVELY WHILE SAVING ENERGY USED.
Dynamic resource Allocation using Virtual Machines For Cloud Computing
Optimal Azure Database Development by Karel CoenyeITProceed
This document discusses best practices for developing applications on Azure Database. It covers topics like database throughput units (DTUs) and how they impact cost, designing for performance by limiting heavy operations and contention, using stateful and stateless databases appropriately, replicating and synchronizing data across databases, and managing data consistency through approaches like eventual and strong consistency. The goal is to help optimize costs and scalability when building applications on Azure Database.
This document proposes using Moonshot to enable federated credentials to sign into command line and rich client infrastructure securely. It outlines goals, challenges, a proposed deployment involving RADIUS and SAML federations, logical and sequence diagrams, and questions around implementation including how local and central components interact with Moonshot and considerations around schema, costs, limitations and automation. The proposal is intended to stimulate discussion.
Scaling distributed data systems: A LinkedIn Case studySai Kiran Kanuri
Scaling a stateless system like web servers & application servers are pretty well understood, but scaling a stateful system has its own set of challenges. In this presentation, we hope to present our learnings & challenges faced while scaling a NoSQL database used within LinkedIn. Scaling a data system involves significant movement & replication of data within in a cluster. This can put considerable load on a system that is already running hot, affecting the service experience
We will look at some of the challenges & the approaches that we took.
A 2-tier architecture involves clients communicating directly with servers that hold both the application and data tiers. A 3-tier architecture separates these functions into distinct tiers - clients interact with an application server tier that provides requested resources by accessing a separate data server tier. This separation of concerns allows for improved scalability, portability, and maintainability compared to a 2-tier architecture. Common web, application and database servers are discussed.
Azure SQL DB V12 at your service by Pieter VanhoveITProceed
Microsoft Azure SQL Database came in the picture when nobody was talking about cloud computing. Since that time, Azure SQL Database has known many versions but was rather limited in functionality. Backing up your database was not possible, the size of your database was limited, heap tables were not allowed…
Last November, Microsoft reached another milestone by introducing near-complete SQL Server engine compatibility and more premium performance. So, let’s get ready for this new release! I will to take you on a tour around the new Microsoft Azure SQL Database world. You will get an overview of the fundamentals of Microsoft Azure SQL Database administration – What’s new in the latest Update V12 – Azure SQL Database Auditing – Dynamic Data Masking – Row Level Security and many more. After attending this session you will have a good idea which features can be helpful to move your production database to Microsoft Azure SQL Database.
Multi-Tenant SOA Middleware for Cloud ComputingSrinath Perera
This document discusses the need for multi-tenant SOA middleware for cloud computing. It outlines the challenges of implementing multi-tenancy and describes WSO2's Carbon platform and its architecture for achieving tenant isolation at different layers. The architecture isolates tenants through separate security domains, a multi-tenant registry implementation, and tenant-specific Axis2 contexts. It also discusses scaling and monitoring open challenges.
Efficient Resource Allocation to Virtual Machine in Cloud Computing Using an ...ijceronline
The focus of the paper is to generate an advance algorithm of resource allocation and load balancing that can deduced and avoid the dead lock while allocating the processes to virtual machine. In VM while processes are allocate they executes in queue , the first process get resources , other remains in waiting state .As rest of VM remains idle . To utilize the resources, we have analyze the algorithm with the help of First-Come, First-Served (FCFS) Scheduling, Shortest-Job-First (SJR) Scheduling, Priority Scheduling, Round Robin (RR) and CloudSIM Simulator.
Dynamic resource allocation using virtual machines for cloud computing enviro...IEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
Por trás da infraestrutura do Cloud - Campus Party 2014Gleicon Moraes
This document discusses infrastructure as a service (IaaS) cloud computing models. It defines IaaS according to NIST and Wikipedia as allowing consumers to provision processing, storage, networks and other computing resources to deploy and run arbitrary software. The consumer does not manage the underlying infrastructure directly but has control over operating systems and applications. Common IaaS resources include virtual machines, storage, networking and security services. The document also discusses common cloud computing building blocks like compute, storage, networking and management services.
The startup intends to migrate its monolithic application to a microservices architecture to improve scalability, availability, and maintainability. Key objectives for the new architecture include service discovery, autoscaling of microservices, database design, load balancing, and avoiding downtime. The proposed architecture uses Kubernetes for container orchestration, includes an API gateway and load balancers for traffic routing, allows each microservice to have its own database, and implements fault tolerance techniques like retries and caching. The architecture would be deployed on AWS for its managed services.
This document provides an introduction to the Command Query Responsibility Segregation (CQRS) pattern for building scalable multi-user systems. CQRS separates read and write operations by using different models and data stores for each. Commands represent write operations that mutate state, while queries return data without modifying it. The CQRS pattern is useful for large, distributed systems with complex business logic where separating reads and writes can improve scalability. It allows splitting development tasks between teams and optimizing read and write operations independently. The document reviews the key components of CQRS including commands, events, domain objects, and persistent view models and provides an example implementation using .NET.
Cqrs and Event Sourcing Intro For Developerswojtek_s
The document provides an introduction to CQRS and Event Sourcing patterns. It defines CQRS as separating operations that mutate data from those that query it. Benefits include improved performance, scalability, and team organization. Event Sourcing is described as managing state by appending events rather than altering state, allowing reconstruction of past states. Examples of implementing CQRS evolutionarily are given, from separating commands and queries to using separate models and storage engines. Pros and cons of both patterns are outlined. The document concludes with advice on when and how to apply these patterns.
CQRS with dot net services presentation.Knoldus Inc.
Command Query Responsibility Segregation (CQRS) is a pattern that separates the concerns of reading and writing data in an application. It provides a clear separation between commands that modify data (write operations) and queries that retrieve data (read operations). By using CQRS, we can achieve a more maintainable and scalable architecture.
CQRS Design Pattern Presentation (Java).pptxKnoldus Inc.
CQRS is one of the important pattern when querying between microservices. We can use CQRS design pattern in order to avoid complex queries to get rid of inefficient joins. CQRS stands for Command and Query Responsibility Segregation. Basically this pattern separates read and update operations for a database.
The document discusses architectural design and organizational models for software systems. It describes key considerations in architectural design such as functional and non-functional requirements that influence design decisions. It also summarizes common system organization models including the repository model, client-server model, and layered model. The document provides examples of each model and discusses their advantages and disadvantages.
A Study on Replication and Failover Cluster to Maximize System UptimeYogeshIJTSRD
This document summarizes a study on using replication and failover clusters to maximize system uptime for cloud services. It discusses challenges in ensuring high availability of cloud services from a provider perspective. The study aims to present a high availability solution using load balancing, elasticity, replication, and disaster recovery configuration. It reviews related literature on digital media distribution platforms, content delivery networks, auto-scaling strategies, and database replication impact. It also covers methodologies like CloudFront, state machine replication, neural networks, Markov decision processes, and sliding window protocols. The scope is to build a scalable, fault-tolerant environment with disaster recovery and ensure continuous availability. The conclusion is that data replication and failover clusters are necessary to plan data
The document discusses characteristics of microservice architectures. It defines microservices as independently deployable services that communicate through lightweight mechanisms like HTTP APIs. Key characteristics include: componentization via services; organization around business capabilities rather than technology; treating services as products with long-term support; decentralized governance, data, and infrastructure; and designing for failure and evolutionary development. The document also compares microservices to monoliths and alternative approaches like self-contained systems.
This document provides 6 IEEE project summaries in the domain of Java and cloud computing/data mining. The summaries are:
1. A decentralized access control scheme for secure cloud data storage that supports anonymous authentication.
2. A performance analysis framework for distributed file systems that qualitatively and quantitatively evaluates performance.
3. Approaches to guarantee trustworthy transactions on cloud servers by enforcing policy consistency constraints.
4. A scalable MapReduce approach for anonymizing large datasets to satisfy privacy requirements like k-anonymity.
5. A resource allocation scheme for a self-organizing cloud that achieves maximized utilization and optimal execution efficiency.
6. An attribute-based encryption framework for flexible
A presentation on best practices for J2EE scalability from requirements gathering through to implementation, including design and architecture along the way.
This document discusses several cloud computing projects from IEEE in 2014. It provides descriptions of 8 projects, including their titles, programming languages, links, and abstract summaries. The projects focus on topics like network coding-based cloud storage systems, privacy-preserving search over encrypted cloud data, cloud service composition, cloud resource procurement, and competition/cooperation among cloud providers.
SERVICE LEVEL AGREEMENT BASED FAULT TOLERANT WORKLOAD SCHEDULING IN CLOUD COM...ijgca
Cloud computing is a concept of providing user and application oriented services in a virtual environment.Users can use the various cloud services as per their requirements dynamically. Different users have
different requirements in terms of application reliability, performance and fault tolerance. Static and rigid
fault tolerance policies provide a consistent degree of fault tolerance as well as overhead. In this research
work we have proposed a method to implement dynamic fault tolerance considering customerrequirements. The cloud users have been classified in to sub classes as per the fault olerance requirements.Their jobs have also been classified into compute intensive and data intensive categories. The varying
degree of fault tolerance has been applied consisting of replication and input buffer. From the simulation
based experiments we have found that the proposed dynamic method performs better than the existing methods.
SERVICE LEVEL AGREEMENT BASED FAULT TOLERANT WORKLOAD SCHEDULING IN CLOUD COM...ijgca
Cloud computing is a concept of providing user and application oriented services in a virtual environment.
Users can use the various cloud services as per their requirements dynamically. Different users have
different requirements in terms of application reliability, performance and fault tolerance. Static and rigid
fault tolerance policies provide a consistent degree of fault tolerance as well as overhead. In this research
work we have proposed a method to implement dynamic fault tolerance considering customer
requirements. The cloud users have been classified in to sub classes as per the fault tolerance requirements.
Their jobs have also been classified into compute intensive and data intensive categories. The varying
degree of fault tolerance has been applied consisting of replication and input buffer. From the simulation
based experiments we have found that the proposed dynamic method performs better than the existing
methods.
SERVICE LEVEL AGREEMENT BASED FAULT TOLERANT WORKLOAD SCHEDULING IN CLOUD COM...ijgca
Cloud computing is a concept of providing user and application oriented services in a virtual environment.
Users can use the various cloud services as per their requirements dynamically. Different users have
different requirements in terms of application reliability, performance and fault tolerance. Static and rigid
fault tolerance policies provide a consistent degree of fault tolerance as well as overhead. In this research
work we have proposed a method to implement dynamic fault tolerance considering customer
requirements. The cloud users have been classified in to sub classes as per the fault tolerance requirements.
Their jobs have also been classified into compute intensive and data intensive categories. The varying
degree of fault tolerance has been applied consisting of replication and input buffer. From the simulation
based experiments we have found that the proposed dynamic method performs better than the existing
methods.
This document introduces SQL/MapReduce (SQL/MR) as a new framework for user-defined functions (UDFs) in databases. Some key advantages of SQL/MR functions are that they are inherently parallel, dynamically polymorphic with output schemas determined at query time, and can be implemented in various programming languages. The document describes the motivation for this approach and provides an example of using a SQL/MR function to sessionize clickstream data in 1 pass rather than a costly self-join. Implementation details and experimental results demonstrating scalability are also discussed.
This document introduces SQL/MapReduce (SQL/MR) as a new framework for user-defined functions (UDFs) in databases that aims to overcome limitations of traditional UDFs. SQL/MR functions are self-describing, dynamically polymorphic, inherently parallelizable, and composable. They allow functions to be implemented independently once and reused on different inputs. The SQL/MR framework is implemented in the Aster nCluster parallel database to enable highly scalable UDF execution across clusters. Examples are given of new applications enabled by this approach.
This document introduces SQL/MapReduce (SQL/MR) as a new framework for user-defined functions (UDFs) in databases. Some key advantages of SQL/MR functions are that they are inherently parallel, dynamically polymorphic with output schemas determined at query time, and can be implemented in any programming language. The document describes the motivation for this approach and provides an example of using a SQL/MR function to perform clickstream sessionization. It also summarizes related work on parallel UDFs and table functions in other database systems.
Performance and Cost Evaluation of an Adaptive Encryption Architecture for Cl...Editor IJLRES
The cloud database as a service is a novel paradigm that can support several Internet-based applications, but its adoption requires the solution of information confidentiality problems. We propose a novel architecture for adaptive encryption of public cloud databases that offers an interesting alternative to the tradeoff between the required data confidentiality level and the flexibility of the cloud database structures at design time. We demonstrate the feasibility and performance of the proposed solution through a software prototype. Moreover, we propose an original cost model that is oriented to the evaluation of cloud database services in plain and encrypted instances and that takes into account the variability of cloud prices and tenant workloads during a medium-term period.
This document introduces SQL/MapReduce (SQL/MR) as a new framework for user-defined functions (UDFs) in databases. Some key advantages of SQL/MR functions are that they are inherently parallel, dynamically polymorphic with output schemas determined at query time, and can be implemented using any programming language. The document describes the SQL/MR programming model and implementation within the Aster nCluster database. It also provides an example of using a SQL/MR function to perform clickstream sessionization to group user clicks by session over time.
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
Flutter is a popular open source, cross-platform framework developed by Google. In this webinar we'll explore Flutter and its architecture, delve into the Flutter Embedder and Flutter’s Dart language, discover how to leverage Flutter for embedded device development, learn about Automotive Grade Linux (AGL) and its consortium and understand the rationale behind AGL's choice of Flutter for next-gen IVI systems. Don’t miss this opportunity to discover whether Flutter is right for your project.
Odoo ERP software
Odoo ERP software, a leading open-source software for Enterprise Resource Planning (ERP) and business management, has recently launched its latest version, Odoo 17 Community Edition. This update introduces a range of new features and enhancements designed to streamline business operations and support growth.
The Odoo Community serves as a cost-free edition within the Odoo suite of ERP systems. Tailored to accommodate the standard needs of business operations, it provides a robust platform suitable for organisations of different sizes and business sectors. Within the Odoo Community Edition, users can access a variety of essential features and services essential for managing day-to-day tasks efficiently.
This blog presents a detailed overview of the features available within the Odoo 17 Community edition, and the differences between Odoo 17 community and enterprise editions, aiming to equip you with the necessary information to make an informed decision about its suitability for your business.
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
8 Best Automated Android App Testing Tool and Framework in 2024.pdfkalichargn70th171
Regarding mobile operating systems, two major players dominate our thoughts: Android and iPhone. With Android leading the market, software development companies are focused on delivering apps compatible with this OS. Ensuring an app's functionality across various Android devices, OS versions, and hardware specifications is critical, making Android app testing essential.
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Artificia Intellicence and XPath Extension FunctionsOctavian Nadolu
The purpose of this presentation is to provide an overview of how you can use AI from XSLT, XQuery, Schematron, or XML Refactoring operations, the potential benefits of using AI, and some of the challenges we face.
UI5con 2024 - Boost Your Development Experience with UI5 Tooling ExtensionsPeter Muessig
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
Testing — in this phase when the coding of the software is done the testing team will start testing.
Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
UI5con 2024 - Keynote: Latest News about UI5 and it’s EcosystemPeter Muessig
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
Recording:
https://www.youtube.com/live/MSdGLG2zLy8?si=INxBHTqkwHhxV5Ta&t=0
E-commerce Development Services- Hornet DynamicsHornet Dynamics
For any business hoping to succeed in the digital age, having a strong online presence is crucial. We offer Ecommerce Development Services that are customized according to your business requirements and client preferences, enabling you to create a dynamic, safe, and user-friendly online store.
DDS Security Version 1.2 was adopted in 2024. This revision strengthens support for long runnings systems adding new cryptographic algorithms, certificate revocation, and hardness against DoS attacks.
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
2. What is CQRS?
• CQRS stands for Command Query Responsibility Segregation. It's a
pattern that I first heard described by GregYoung. At its heart is the
notion that you can use a different model to update information than
the model you use to read information. For some situations, this
separation can be valuable, but beware that for most systems CQRS
adds risky complexity.
3. What CQRS Introduces?
• The change that CQRS introduces is to split that conceptual model
into separate models for update and display, which it refers to as
Command and Query respectively following the vocabulary of
CommandQuerySeparation.The rationale is that for many problems,
particularly in more complicated domains, having the same
conceptual model for commands and queries leads to a more
complex model that does neither well.
5. Scope
• By separate models we most commonly mean different object
models, probably running in different logical processes, perhaps on
separate hardware. A web example would see a user looking at a web
page that's rendered using the query model. If they initiate a change
that change is routed to the separate command model for
processing, the resulting change is communicated to the query model
to render the updated state.
6. In-Memory Model
• There's room for considerable variation here.The in-memory models
may share the same database, in which case the database acts as the
communication between the two models. However they may also use
separate databases, effectively making the query-side's database
into a real-time ReportingDatabase. In this case there needs to be
some communication mechanism between the two models or their
databases.
7. When to use CQRS?
• In particular CQRS should only be used on specific portions of a
system (a BoundedContext in DDD lingo) and not the system as a
whole. In this way of thinking, each Bounded Context needs its own
decisions on how it should be modeled.
8. Use CQRS for high performance applications
The other main benefit is in handling high performance applications.
CQRS allows you to separate the load from reads and writes allowing
you to scale each independently. If your application sees a big disparity
between reads and writes this is very handy. Even without that, you can
apply different optimization strategies to the two sides. An example of
this is using different database access techniques for read and update.
Note: CQRS is also useful in Complex Domains but in other domains it
adds complexity, Reduce productivity and increase risk.