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Managing Transactions in Your Microservice Architecture, WSO2Con USA 2018
 
35:30
Afkham Azeez, Senior Director - Platform Architecture at WSO2 looks at an approach developed by WSO2 to address the challenge of transaction management for microservices.
Views: 601 WSO2TechFlicks
Distributed Transactions | Distributed Locking (Single and Distributed Lock Manager)
 
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Distributed Transactions | Distributed Locking (Single and Distributed Lock Manager) Like Us on Facebook - https://www.facebook.com/Easy-Engineering-Classes-346838485669475/ DBMS Hindi Classes Database Management System Tutorial for Beginners in Hindi Database Management System Study Notes DBMS Notes Database Management System Notes
Using sagas to maintain data consistency in a microservice architecture by Chris Richardson
 
49:10
Subscribe to Devoxx on YouTube @ https://bit.ly/devoxx-youtube Like Devoxx on Facebook @ https://www.facebook.com/devoxxcom Follow Devoxx on Twitter @ https://twitter.com/devoxx The microservice architecture structures an application as a set of loosely coupled, collaborating services. Maintaining data consistency is challenging since each service has its own database to ensure loose coupling. To make matters worse, for a variety of reasons distributed transactions using JTA are not an option for modern applications. In this talk we describe an alternative transaction model known as a saga. You will learn about the benefits and drawbacks of using sagas. We describe how sagas are eventually consistent rather than ACID and what this means for developers. You will learn how to design and implement sagas in a Java application. Chris Richardson is a developer and architect. He is the author of POJOs in Action, which describes how to build enterprise Java applications with frameworks such as Spring and Hibernate. Chris was also the founder of the original CloudFoundry.com, an early Java PaaS for Amazon EC2. Today, he is a recognized thought leader in microservices. Chris is the creator of http://microservices.io, a website describing how to develop and deploy microservices. He provides microservices consulting and training and is working on his third startup http://eventuate.io, an application platform for developing microservices.
Views: 45921 Devoxx
Spring Tips: JTA
 
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Speaker: Josh Long https://www.twitter.com/starbuxman Hi Spring fans! In this tip, we'll look at how to manage distributed transactions in Spring with JTA.
Views: 10628 SpringDeveloper
Microservices the AWS way - Handling Distributed Transactions
 
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Microservices the AWS way - Handling Distributed Transactions In this video I cover what I found out from attending an AWS conference in Melbourne in regards to Microservice Architecture and Distributed Transactions. It was really good to get the response from the biggest cloud provider on the planet. I share their answer with you in this video (at least my understanding of it). Please comment below, as I wish to hear your thoughts on the subject.
Views: 1948 Lyrad Digital
Distributed Transaction Basics
 
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How and When to Use Multi-Document Distributed Transactions
 
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Presented by MongoDB's Aly Cabral at MongoDB World 2018. Application development just got a lot easier! MongoDB 4.0 supports multi-document, multi-collection, multi-statement ACID transactions. We’ll walk through characteristics, syntax, optimization strategies, and all the guarantees transactions provide to simplify and speed up your application development. However, with great power comes great responsibility; you’ll also learn transactions aren’t always the answer. Learn how to spot dangerous usage patterns and leverage the other features of MongoDB to meet your requirements before pushing to prod.
Views: 1067 MongoDB
Distributed Transactions
 
31:21
Fangming Chai & Eddie Ruan, Cisco
SQL Server  Controlling Distributed Transactions
 
03:12
5. Controlling Distributed Transactions
Views: 2819 Eagle
GOTO 2015 • Applying the Saga Pattern • Caitie McCaffrey
 
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This presentation was recorded at GOTO Chicago 2015. #gotocon #gotochgo http://gotochgo.com Caitie McCaffrey - Distributed Systems Diva at Twitter ABSTRACT As we build larger more complex applications and solutions that need to do collaborative processing the traditional ACID transaction model using coordinated 2-phase commit is often no longer suitable. More frequently [...] Download slides and read the full abstract here: http://gotocon.com/chicago-2015/presentation/Applying%20the%20Saga%20Pattern https://twitter.com/gotochgo https://www.facebook.com/GOTOConference http://gotocon.com #DistributedSystems #SagaPattern
Views: 70790 GOTO Conferences
Distributed Transaction - Georgia Tech - Advanced Operating Systems
 
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Watch on Udacity: https://www.udacity.com/course/viewer#!/c-ud189/l-485538681/m-483628618 Check out the full Advanced Operating Systems course for free at: https://www.udacity.com/course/ud189 Georgia Tech online Master's program: https://www.udacity.com/georgia-tech
Views: 3436 Udacity
"Distributed Commit Log: Application Techniques for Transaction Processing" by David McNeil
 
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Messaging systems built on the idea of a distributed commit log such as Apache Kafka and Amazon Kinesis offer a powerful approach for building robust, real-time systems. However, because of their unique nature there are particular techniques required to use them effectively. This talk will catalog approaches used in practice to address topics such as: dealing with duplicate event delivery, merging & splitting of shards, poison events, exception handling, detecting failed workers, performing rapid failover, and providing facilities for debugging. These approaches provide a foundation for using distributed commit logs not just for applications such as click-stream analysis but for transaction processing.
Views: 4178 Strange Loop
Distributed Transaction - An Introduction
 
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Part of the course CES-27 and CE-288 - Distributed Programming, given at ITA
Views: 6602 Celso Hirata
Distributed Transaction
 
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Distributed Transaction:- Distributed Database, Management of Distributed Database, Properties of Distributed Transactions(ACID properties)
Views: 317 Rakesh Gupta
Managing Your Business Transactions
 
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Learn how to optimize your business transaction set by: - Changing the auto-discovery setting - Renaming transactions - Grouping multiple transactions - Removing non-critical transactions - And, custom-create business transactions based on custom-match rules
Views: 3944 AppDynamics
Managing Transactions in Your Microservice Architecture, WSO2Con EU 2018
 
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Transactional behavior is a standard requirement for business applications. The microservices paradigm dictates that monolithic business applications should be broken into a collection of independently deployable services which come together to deliver the business functionality. This poses a new set of interesting challenges for microservice architects and developers. One of these challenges includes managing transactions across microservices. In the monolithic app, all components and libraries execute within the same process so managing transactional behavior is less of a challenge. However, in the microservices world, the transaction context has to flow through across the network from service to service whenever transactional behavior is desired. In this session, we will look at an approach developed by WSO2 to address this challenge of transaction management for microservices.
Views: 43 WSO2TechFlicks
The hardest part of microservices is your data
 
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Hear from Christian Posta, Principal Architect, Red Hat in this breakout session at Red Hat Summit 2017. One of the tenants of microservices, and a way to minimize dependencies, is that “a service should own its own database.” This is easier said than done. Why? Because: your data. In working with data in information systems for 5 decades, application developers have accepted the practice of using relational databases and relying on all of their safety guarantees. But, as we build services architectures that span more than one database by design (as with microservices), things get harder. How do we synchronize data across databases, especially heterogeneous data? Developing for the traditional enterprise, we have to build fast-changing systems that are surrounded by legacy systems with complicated domains like finance, insurance, and retail. So, how do we develop and reason about the boundaries in our system to reduce complexity in the domain? In this session, we’ll explore these problems and see how domain driven design (DDD) helps grapple with the domain complexity. We’ll see how DDD concepts like entities and aggregates help us understand boundaries—based on use cases and how transactions are affected. With transactional boundaries, we can more carefully adjust our needs from the CAP theorem to scale out and achieve autonomous systems with eventual strictly ordered consistency. We’ll see how technologies like Apache Kafka, Apache Camel, and Debezium.io can help build the backbone for these types of systems. And finally, we’ll look at a working example that brings all of this together. https://www.redhat.com/en/summit/2017/agenda/session
Views: 71828 Red Hat Summit
Managing Transactions in Your Microservice Architecture, WSO2Con Asia 2018
 
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Anupama Pathirage, Technical Lead at WSO2 looks at an approach developed by WSO2 to address this challenge of transaction management for microservices.
Views: 183 WSO2TechFlicks
PWLSF - 1/2016 - Henry Robinson on "No compromises: distributed transactions with consistency.."
 
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Mini Bryan Fink on "Fluctuations of Hi-Hat Timing and Dynamics in a Virtuoso Drum Track of a Popular Music Recording" (http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0127902) Slides: https://t.co/tjHBwdx5EB Bryan's Bio: Bryan hacks distributed systems by day, and does almost anything else by night. His interests in percussion and computers began nearly coincidentally over twenty years ago in a small town on the Great Plains. The combination has led to him having strange thoughts about time and coordination. Main Talk Henry Robinson from Cloudera will present the paper "No compromises: distributed transactions with consistency, availability, and performance" (http://sigops.org/sosp/sosp15/current/2015-Monterey/printable/227-dragojevic.pdf ) Slides: https://speakerdeck.com/paperswelove/2016-henry-robinson-on-no-compromises-distributed-transactions-with-consistency Henry's Bio Henry is an engineer at Cloudera, where he has worked for six years on a wide variety of distributed systems. He currently works full-time on Impala, a SQL query engine for data stored in HDFS. Before Cloudera, he worked on ad-hoc networking at Cambridge University. He writes infrequently about databases and distributed systems at http://the-paper-trail.org/ Meetup event: http://www.meetup.com/papers-we-love-too/events/225730003/
Views: 664 PapersWeLove
Distributed Transactions are dead, long live distributed transaction! by Sergey Bykov
 
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As "we all know", distributed transactions pretty much died with the advent of the Internet. MTS/MSDTC/J2EE books collect dust while developers of cloud services struggle programming against eventually consistent data stores. Orleans never shied away from questioning conventional wisdom. It pioneered the Virtual Actor Model that offered a compelling alternative, especially for building scalable distributed and cloud applications, to the prevailing at the time view of actors. Support for scalable distributed transactions is one of the latest innovations in Orleans that dispels popular misconceptions about them. Sergey Bykov will talk about Orleans transactions and other advanced features of the framework.
Views: 594 J On The Beach
SCPT 34: Distributed Transaction
 
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Full Course Experience Includes 1. Access to course videos and exercises 2. View & manage your progress/pace 3. In-class projects and code reviews 4. Personal guidance from your Mentors
Views: 14377 Oresoft LWC
What is DISTRIBUTED TRANSACTION? What does DISTRIBUTED TRANSACTION mean?
 
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What is DISTRIBUTED TRANSACTION? What does DISTRIBUTED TRANSACTION mean? DISTRIBUTED TRANSACTION meaning - DISTRIBUTED TRANSACTION definition - DISTRIBUTED TRANSACTION explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ A distributed transaction is a database transaction in which two or more network hosts are involved. Usually, hosts provide transactional resources, while the transaction manager is responsible for creating and managing a global transaction that encompasses all operations against such resources. Distributed transactions, as any other transactions, must have all four ACID (atomicity, consistency, isolation, durability) properties, where atomicity guarantees all-or-nothing outcomes for the unit of work (operations bundle). Open Group, a vendor consortium, proposed the X/Open Distributed Transaction Processing (DTP) Model (X/Open XA), which became a de facto standard for behavior of transaction model components. Database are common transactional resources and, often, transactions span a couple of such databases. In this case, a distributed transaction can be seen as a database transaction that must be synchronized (or provide ACID properties) among multiple participating databases which are distributed among different physical locations. The isolation property (the I of ACID) poses a special challenge for multi database transactions, since the (global) serializability property could be violated, even if each database provides it (see also global serializability). In practice most commercial database systems use strong strict two phase locking (SS2PL) for concurrency control, which ensures global serializability, if all the participating databases employ it. (see also commitment ordering for multidatabases.) A common algorithm for ensuring correct completion of a distributed transaction is the two-phase commit (2PC). This algorithm is usually applied for updates able to commit in a short period of time, ranging from couple of milliseconds to couple of minutes. There are also long-lived distributed transactions, for example a transaction to book a trip, which consists of booking a flight, a rental car and a hotel. Since booking the flight might take up to a day to get a confirmation, two-phase commit is not applicable here, it will lock the resources for this long. In this case more sophisticated techniques that involve multiple undo levels are used. The way you can undo the hotel booking by calling a desk and cancelling the reservation, a system can be designed to undo certain operations (unless they are irreversibly finished). In practice, long-lived distributed transactions are implemented in systems based on Web Services. Usually these transactions utilize principles of Compensating transactions, Optimism and Isolation Without Locking. X/Open standard does not cover long-lived DTP. Several modern technologies, including Enterprise Java Beans (EJBs) and Microsoft Transaction Server (MTS) fully support distributed transaction standards.
Views: 1288 The Audiopedia
Sagas in Erlang: Distributed Transactions Without Locks - Mark Allen - EUC17
 
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Sagas are a technique described in a 1987 paper by Hector Garcia-Molina in the context of long-lived database transactions. Sagas provide a transactional abstraction across arbitrarily distributed services: either all of the operations in a Saga succeed or the operations are unwound back to the prior state. The idea never caught on in the world of databases, but 30 years later it is worth re-evaluating this idea when we need to provide transactional state changes across a variety of distributed microservices.
Views: 908 Erlang Solutions
No Compromises: Distributed Transactions with Consistency, Availability, and Performance
 
48:36
Transactions with strong consistency and high availability simplify building and reasoning about distributed systems. However, previous implementations performed poorly. This forced system designers to avoid transactions completely, to weaken consistency guarantees, or to provide single machine transactions that require programmers to partition their data. In this paper, we show that there is no need to compromise in modern data centers. We show that a main memory distributed computing platform called FaRM can provide distributed transactions with strict serializability, high performance, durability, and high availability. FaRM achieves a peak throughput of 140 million TATP transactions per second on 90 machines with a 4.9 TB database, and it recovers from a failure in less than 50 ms. Key to achieving these results was the design of new transaction, replication, and recovery protocols from first principles to leverage commodity networks with RDMA and a new, inexpensive approach to providing non-volatile DRAM.
Views: 1401 Microsoft Research
JTA Feature -XA Transaction without Transaction Logs- and Demo
 
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New WebLogic Server 12.1.3 JTA feature -XA Transaction without Transaction Logs- and Demo
Views: 3801 OracleWebLogic
Lost in transaction? Strategies to deal with (in-)consistency in distributed systems - Bernd Rücker
 
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You probably work on a distributed system. Even if you don’t yet face a serverless microservice architecture using fancy NoSQL databases, you might simply call some remote services via REST or SOAP. This leaves you in charge of dealing with consistency yourself. ACID transactions are only available locally within components and protocols like two-phase commit don’t scale. Many projects either risk adventurous inconsistencies or write a lot of code for consistency management in the application layer. In this talk Bernd discusses these problems and goes over possible solutions, including the Saga-Pattern. Bernd will discuss recipes, patterns and frameworks that allow us to manage the right level of consistency but concentrate on the business logic. Expect fun little live hacking sessions with open source components, but also real-life stories.
microXchg 2018 - Managing data consistency in a microservice architecture using Sagas
 
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Managing data consistency in a microservice architecture using Sagas Chris Richardson The services in a microservice architecture must be loosely coupled and so cannot share database tables. What’s more, two phase commit (a.k.a. a distributed transaction) is not a viable option for modern applications. Consequently, a microservices application must use the Saga pattern, which maintains data consistency using a series of local transactions. In this presentation, you will learn how sagas work and how they differ from traditional transactions. We describe how to use sagas to develop business logic in a microservices application. You will learn effective techniques for orchestrating sagas and how to use messaging for reliability. We will describe the design of a saga framework for Java and show a sample application.
Views: 2495 microXchg
Concurrency Control - Lock Based Protocol in DBMS Transaction Management
 
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DBMS Tutorial in English, Hindi - Concurrency Control - Lock Based Protocol in DBMS Transaction Management for students of IP University Delhi and Other Universities, Engineering, MCA, BCA, B.Sc, M.Sc Colleges.
Views: 202610 Easy Engineering Classes
Declarative Transaction Management with Spring Boot
 
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Website: http://www.leanstacks.com Publications: https://leanpub.com/leanstacks-marionette-spring GitHub: https://github.com/mwarman/spring-boot-fundamentals/tree/transactional Compare: https://github.com/mwarman/spring-boot-fundamentals/compare/repository...transactional This is part of a series of instructional videos documenting how to build application capabilities using Spring Boot and other projects in the Spring family. In this video, learn to use declarative transaction management within a Spring Boot application. This video illustrates local transaction management using annotation based configuration.
Views: 26754 LeanStacks
40 Distributed Transaction in MicroService WCF in Arabic
 
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with Arabic content by easy way to learn شرح بالعربي
Distributed Transactions are dead - Sergey Bykov
 
44:51
Distributed Transactions are dead, long live distributed transactions! As "we all know", distributed transactions pretty much died with the advent of the Internet. Developers of cloud services have learned to cope with eventually consistent data stores and the Event Souring paradigm. But what to do when "eventual" is not enough? Orleans never shied away from questioning conventional wisdom. It pioneered the Virtual Actor Model that offered a compelling alternative, especially for building scalable distributed applications, to the prevailing at the time view of actors. Support for scalable distributed transactions is one of the latest innovations in Orleans that challenges popular misconceptions about them. Slides and more information: https://www.reactivesummit.org/2018/schedule/distributed-transactions-are-dead-long-live-distributed-transactions
Views: 116 Reactive Summit
Calvin: Fast Distributed Transactions for Partitioned Database Systems
 
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Calvin: Fast Distributed Transactions for Partitioned Database Systems
Views: 960 Rain ^^
Transactions
 
01:01:13
Systems 10. Transactions ADUni
Views: 774 Chao Xu
Part 21   Transactions in ADO NET
 
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c# transaction operation c# transaction rollback on exception c# transaction try catch c# transaction using rollback In this video we will discuss how to implement Transactions in ADO.NET What is a Transaction A Transaction ensures that either all of the database operations succeed or all of them fail. This means the job is never half done, either all of it is done or nothing is done. Let's understand this with an example. When we click "Transfer $10 from Account A1 to Account A2" button, we should subtract 10 from A1 account and add 10 to A2 account. So there will be 2 database UPDATE statements. What do you think will happen if only the first update statement is executed successfully and not the second statement. $10 is deducted from the first account, but not added to the second account. This is definitely not desirable. Either both the statements should succeed or both of them should fail. If one succeeds and other fails we should also rollback the changes made by the first statement to maintain the integrity of the data. This can be achieved using transactions in ado.net. namespace Demo { public partial class WebForm1 : System.Web.UI.Page { protected void Page_Load(object sender, EventArgs e) { if (!IsPostBack) { GetAccountsData(); } } private void GetAccountsData() { string cs = ConfigurationManager.ConnectionStrings["CS"].ConnectionString; using (SqlConnection con = new SqlConnection(cs)) { SqlCommand cmd = new SqlCommand("Select * from Accounts", con); con.Open(); SqlDataReader rdr = cmd.ExecuteReader(); while (rdr.Read()) { if (rdr["AccountNumber"].ToString() == "A1") { lblAccountNumber1.Text = "A1"; lblName1.Text = rdr["CustomerName"].ToString(); lblBalance1.Text = rdr["Balance"].ToString(); } else { lblAccountNumber2.Text = "A2"; lblName2.Text = rdr["CustomerName"].ToString(); lblBalance2.Text = rdr["Balance"].ToString(); } } } } protected void btnTransfer_Click(object sender, EventArgs e) { string cs = ConfigurationManager.ConnectionStrings["CS"].ConnectionString; using (SqlConnection con = new SqlConnection(cs)) { con.Open(); // Begin a transaction. The connection needs to be open before we begin a transaction SqlTransaction transaction = con.BeginTransaction(); try { // Associate the first update command with the transaction SqlCommand cmd = new SqlCommand("Update Accounts set Balance = Balance - 10 where AccountNumber = 'A1'", con, transaction); cmd.ExecuteNonQuery(); // Associate the second update command with the transaction cmd = new SqlCommand("Update Accounts set Balance = Balance + 10 where AccountNumber = 'A2'", con, transaction); cmd.ExecuteNonQuery(); // If all goes well commit the transaction transaction.Commit(); lblMessage.ForeColor = System.Drawing.Color.Green; lblMessage.Text = "Transaction committed"; } catch { // If anything goes wrong, rollback the transaction transaction.Rollback(); lblMessage.ForeColor = System.Drawing.Color.Red; lblMessage.Text = "Transaction rolled back"; } } GetAccountsData(); } } } Testing : Run the apllication and click the "Transfer $10 from Account A1 to Account A2" button. Notice that $10 is deducted from Account A1 and added to Account A2 and the transaction is committed. Text version of the video http://csharp-video-tutorials.blogspot.com/2014/09/part-21-transactions-in-adonet.html Slides http://csharp-video-tutorials.blogspot.com/2014/09/part-21-transactions-in-adonet_29.html All ADO .NET Text Articles http://csharp-video-tutorials.blogspot.com/p/free-adonet-video-tutorial.html All ADO .NET Slides http://csharp-video-tutorials.blogspot.com/p/adonet-slides.html All Dot Net and SQL Server Tutorials in English https://www.youtube.com/user/kudvenkat/playlists?view=1&sort=dd All Dot Net and SQL Server Tutorials in Arabic https://www.youtube.com/c/KudvenkatArabic/playlists
Views: 49622 kudvenkat
Distributed Sagas: A Protocol for Coordinating Microservices - Caitie McCaffrey - JOTB17
 
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Microservices have become the defacto architecture pattern for building services. However separating business logic into small services that operate with a single logical data set has introduced consistency challenges. Previous attempts to solve this problem like two phase commit have not been widely adopted due to availability and liveness issues. Instead developers implement feral concurrency control mechanism. This technique can be error prone, and often results in “Death Star” architectures which rely on chained calls to enforce application invariants. These architectures become more complicated over time, and are difficult to modify and extend, and often don't correctly handle all failure scenarios. In this talk I propose a new solution for this problem, Distributed Sagas, a protocol for coordinating requests among multiple micro services, while ensuring application invariants.
Views: 13924 J On The Beach
Distributed Transactions with WCF and async/await problem (Windows Communication Foundation)
 
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StackOverflow: http://stackoverflow.com/questions/34767978/ Subscribe http://bit.ly/1NNmT4J Twitter https://twitter.com/ajtowf Facebook https://www.facebook.com/towfeek.se Pluralsight http://www.pluralsight.com/author/ajden-towfeek
Views: 1852 Ajden Towfeek
No compromises: distributed transactions with consistency, availability, and performance
 
32:28
Authors: Aleksandar Dragojevic, Dushyanth Narayanan, Edmund B. Nightingale, Matthew Renzelmann, Alex Shamis, Anirudh Badam, Miguel Castro Abstract: Transactions with strong consistency and high availability simplify building and reasoning about distributed systems. However, previous implementations performed poorly. This forced system designers to avoid transactions completely, to weaken consistency guarantees, or to provide single-machine transactions that require programmers to partition their data. In this paper, we show that there is no need to compromise in modern data centers. We show that a main memory distributed computing platform called FaRM can provide distributed transactions with strict serializability, high performance, durability, and high availability. FaRM achieves a peak throughput of 140 million TATP transactions per second on 90 machines with a 4.9 TB database, and it recovers from a failure in less than 50 ms. Key to achieving these results was the design of new transaction, replication, and recovery protocols from first principles to leverage commodity networks with RDMA and a new, inexpensive approach to providing non-volatile DRAM. ACM DL: http://dl.acm.org/citation.cfm?id=2815400.2815425 DOI: http://dx.doi.org/10.1145/2815400.2815425
SQL Server DBA Tutorial 17- Configure Distributed Transaction Coordinator(DTC) in SQL Server Cluster
 
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This video shows step by step process of configuring Distributed Transaction Coordinator (DTC) in SQL Server. It talks about following 1- What is DTC Role in SQL Server clustering 2- Why is it important to create DTC Role in SQL Server clustering 3- DTC requirements in SQL Server 2005 4- DTC requirements in SQL Server 2008 and Above Blog post link for the video http://www.sqlage.blogspot.com/2015/05/how-to-configure-distributed.html Visit our website to check out SQL Server DBA Tutorial Step by Step http://www.techbrothersit.com/2014/12/sql-server-dba-tutorial.html
Views: 13721 TechBrothersIT
Distributed Transaction - Recovery in centralized systems
 
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The topic Recovery in centralized systems is fundamental to understand ditributed transaction recovery
Views: 200 Celso Hirata
Transactions in sql server   Part 57
 
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In this video we will learn about transaction processing in sql server. These concepts are applicable to sql server 2000, 2005 an 2008 Text version of the video http://csharp-video-tutorials.blogspot.com/2012/10/transactions-in-sql-server-part-57.html Slides http://csharp-video-tutorials.blogspot.com/2013/09/part-57-transactions-in-sql-server.html All SQL Server Text Articles http://csharp-video-tutorials.blogspot.com/p/free-sql-server-video-tutorials-for.html All SQL Server Slides http://csharp-video-tutorials.blogspot.com/p/sql-server.html All Dot Net and SQL Server Tutorials in English https://www.youtube.com/user/kudvenkat/playlists?view=1&sort=dd All Dot Net and SQL Server Tutorials in Arabic https://www.youtube.com/c/KudvenkatArabic/playlists
Views: 155872 kudvenkat
Building Fault Tolerant Microservices
 
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(Recorded at Jfokus 2016. http://www.jfokus.com) Building Fault Tolerant Microservices Despite all efforts to the contrary, faults will occur in our applications. When building an application we must prepare to minimize the faults' impact. This fact is especially evident in a microservices setting where the failure of one service must not be allowed to cascade to other, possibly more critical, services. This presentation will introduce you to stability patterns such as Bulkheads and Circuit Breakers. We will talk about how these patterns make your applications resilient to faults and how you implement them in a microservices architecture. Another important component to making your system resilient is the ability to detect and act on anomalies. Hence, we will also discuss monitoring guidelines for a distributed microservices system. Kristoffer Erlandsson, Avanza Kristoffer has been building, managing, troubleshooting, and monitoring transaction-intensive Java applications for over 10 years. He specializes in building fault-tolerant, scalable, and maintainable systems. Currently, Kristoffer is developing Avanza Bank's next generation banking platform.
Views: 7868 Jfokus
dotScale 2016 - Spencer Kimball - Distributed Transactions in CockroachDB
 
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Filmed at http://2016.dotscale.io on April 25th in Paris. More talks on https://www.dotconferences.com/talks In this highly technical talk, Spencer explores CockroachDB's distributed transaction model, starting with a tour of the high level architecture of a cluster, from nodes to gateways to stores to ranges to replication. Then he takes a deep dive into the transaction model, including the common concurrency anomalies. He ends up with a complete exploration of how CockroachDB's two isolation levels (snapshot and serializable) deal differently with the write skew concurrency anomaly.
Views: 378 dotconferences
Distributed Transactions in SOA
 
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This is part of Flipkart's first developer conference held on February 1, 2013. Talk by Ganesh Subramanian & Yogi Kulkarni Ganesh is an Architect at Flipkart's Supply Chain Technologies (SCT) team. He works at improving the scale and performance of the supply chain system to growing demands of Flipkart. Yogi is a Principal Architect at Flipkart. He was part of the team that rebuilt Flipkart's Supply Chain system from ground up using a service-oriented architecture. Prior to Flipkart, Yogi was Principal Consultant at ThoughtWorks where he worked on some of the largest distributed agile projects in the world.
Views: 3867 Flipkart
Managing Consistency, State and Identity in Distributed Microservices   by Duncan DeVore
 
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This video was recorded at Scala Days Chicago 2017 Follow us on Twitter @ScalaDays or visit our website for more information http://scaladays.org Abstract: In the world of distributed microservices, we face many challenges: parallelism, asynchronous boundaries, state management, identity management and consistency deficiencies, to name a few. Of all these problems, consistency, state management, and identity management can be particularly challenging. In this session, we will discuss the ins and outs of dealing with microservice consistency and distributed state, and identity coherency with techniques like idempotency, eventual and casual consistency, dealing with CAP theorem, single source of truth and distributed domain design.
The Future of Event-driven Microservices with Spring Cloud Stream by Kenny Bastani
 
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When you’re building microservices, managing state becomes a distributed systems problem. Instead of being able to manage state as transactions inside the boundaries of a single monolithic application, a microservice must be able to manage consistency by using transactions that are distributed across a network of many different applications and databases. Event-driven architectures are a key component of solving data consistency issues in microservices. This session explores the problems of data consistency in microservices and the various event-driven practices that include CQRS and Event Sourcing. We will look at how these popular practices are implemented using Spring Boot and Spring Cloud Stream.
Views: 6387 Devoxx Poland
Distributed Transactions, Part I
 
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Systems 11a. Distributed Transactions, Part I ADUni
Views: 3795 Chao Xu