high-availability

问题 I have a 4 node setup in Cassandra and decided to go with the following configuration, but ppl are saying this will be same as 3 node setup, So could somebody please give me a light and say why, Nodes = 3, Replication Factor = 2, Write Consistency = 2, Read Consistency = 1 Nodes = 4, Replication Factor = 3, Write Consistency = 3, Read Consistency = 1 As per my understanding, Nodes = 4, provide the two node failure, It is beneficial to have RF as '3' but ppl are saying RF = 2 will be same as

问题 We would like to setup Elasticsearch Highly Available Setup in Kubernetes. we would like to deploy the below objects and would like to scale them independently Master pods Data pods Client pods please share your suggestions if you have implemented this kind of setup. Preferably using open source tools 回答1: See below some points for a proposed architecture: Elasticsearch master nodes do not need persistent storage, so use a Deployment to manage these. Use a Service to load balance between the

问题 We are planning a Biztalk 2009 set up in which we have 2 Biztalk Application Servers and 2 DB Servers (DB servers being in an Active/Passive Cluster). All servers are running Windows Server 2008 R2. As part of our application, we will have incoming traffic via the MSMQ, FILE and SOAP adapters. We also have a requirement for High-availability and Load-balancing. Let's say I create two different Biztalk Hosts and assign the FILE receive handler to the first one and the MSMQ receive handler to

问题 We are planning a Biztalk 2009 set up in which we have 2 Biztalk Application Servers and 2 DB Servers (DB servers being in an Active/Passive Cluster). All servers are running Windows Server 2008 R2. As part of our application, we will have incoming traffic via the MSMQ, FILE and SOAP adapters. We also have a requirement for High-availability and Load-balancing. Let's say I create two different Biztalk Hosts and assign the FILE receive handler to the first one and the MSMQ receive handler to

问题 I have a topic consisting of n partitions. To have distributed processing I create two processes running on different machines. They subscribe to the topic with same groupd id and allocate n/2 threads, each of which processes single stream(n/2 partitions per process). With this I will have achieved load distribution, but now if process 1 crashes, than process 2 cannot consume messages from partitions allocated to process 1, as it listened only on n/2 streams at the start. Or else, if I

问题 I recently started reading about and playing around with AWS. I have particular interest in the different high availability architectures that can be acheived using the platform. Specifically, I am looking for a reliable poor man's solution that can be implemented using the least amount of servers. So far, I am satisfied with solutions for the main HA concerns: load balancing, redundancy, auto recovery, scalability ... The only sticking point I have is with failover solutions. Using an ELB

问题 Here is the scenario: a simple website which queries a memcached cache. That same cache is updated by a batch job every 10-15 minutes. With that pattern is there anything that could go wrong (e.g. cache miss)? I am concerned by all the possible racing condition that could happen. For example, if the website does a GET operation on an object cached in memcached while that same object is overridden by the batch job, what will happen? 回答1: My initial instinct was that you should be able to read

问题 I am working on a legacy project that uses jTDS to connect to SQL server. The client wants us to support SQL Server 2012 AlwaysOn. one key requirement is the ability of our application to automatically reconnect to secondary server in event of failover. unfortunately, jTDS 3.0 does not support AlwaysOn. I have 2 options use MS JDBC (http://www.microsoft.com/en-us/download/confirmation.aspx?id=11774) Write a wrapper that returns the connection string after checking the status of the active

问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 6 years ago . I have a good experience with Unicorn configuration with conjunction of Nginx, it works really well after optimizations and tuning procedures. But now I have got a question what is the best way to spread the load across multiple machines with Unicorns. The question is you have 3 machines (Nginx load balancer, 2

问题 Wondering if Netty has any examples of how I can create a high availability application whereby the netty client will use a backup server in case of live server failure. 回答1: If you want to make the client and server highly available and to manage the connections state by your code with ease, Have a look on Akka Remote Actor API which is using Netty for underlying communication . 回答2: There is no example of this. But I think its quite straight-forward. You need to have a pool of different