Re: ElasticSearch across multiple data center architecture design options

2015-03-13 Thread naye923
Ok. Got it. Thank you!

On Thu, Mar 12, 2015 at 8:56 PM, aa...@definemg.com wrote:

 Perhaps you are misunderstanding me.  ElasticSearch does not provide a
 load balancer for this purpose.  You would use a typical HTTP load balancer
 which could be anything as simple as Nginx, to something costly and
 expensive like a NetScalar.  Configuring such a loadbalancer I believe is
 outside the scope of this list.

 On Thursday, March 12, 2015 at 11:16:12 AM UTC-6, Abigail wrote:

 Yes, that is what I meant. Is there any reference for set up the load
 balance for Kibana 4?  Or if it is easier for Kibana 3?



 On Thu, Mar 12, 2015 at 12:26 PM, aa...@definemg.com wrote:

 Why not load balance multiple tribe nodes, if you need multiple.


 On Wednesday, March 11, 2015 at 9:41:39 AM UTC-6, Abigail wrote:

 Hi Mark,

 Thank you for your reply. Is there any existing approach for kibana to
 communicate with multiple tribe nodes? Or is it something we should
 implement by ourselves by customizing kibana?

 Thank you!
 Abigail

 On Tuesday, March 10, 2015 at 8:56:25 PM UTC-4, Mark Walkom wrote:

 1 - It's pretty simple and has been used before.
 2 - it can be yes. You can have multiple tribe nodes though.
 3 - This may be possible but you'd have to hack a fair bit of code, so
 it's not really practical.

 On 10 March 2015 at 13:00, Alex nay...@gmail.com wrote:

 Hi all,

 We are planning to use ELK for our log analysis. We have multiple
 data centers. Since it is not recommended to have across data center
 cluster, we are going to have one ES cluster per data center,  here are 
 the
 three design options we have:

 1. Use snapshot  restore to replicate data across clusters.
 2. Use tribe node to achieve across cluster queries
 3. Ship and index logs to each cluster

 Here are our questions, and any comments will be appreciated:
 1. How complex is snapshot  restore, anyone has experience on this
 purpose?
 2. Would the performance of only one tribe node be a concern or
 bottleneck, is it possible to have multiple tribe nodes for scale up or
 load balancing?
 3. Is it possible to customize Kibana so that it can go to different
 cluster to query data depends on the query?

 Thank you!
 Abigail

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ElasticSearch across multiple data center architecture design options

2015-03-12 Thread Alex
Hi all,

We are planning to use ELK for our log analysis. We have multiple data 
centers. Since it is not recommended to have across data center cluster, we 
are going to have one ES cluster per data center,  here are the three 
design options we have:

1. Use snapshot  restore to replicate data across clusters.
2. Use tribe node to achieve across cluster queries
3. Ship and index logs to each cluster

Here are our questions, and any comments will be appreciated:
1. How complex is snapshot  restore, anyone has experience on this purpose?
2. Would the performance of only one tribe node be a concern or bottleneck, 
is it possible to have multiple tribe nodes for scale up or load balancing?
3. Is it possible to customize Kibana so that it can go to different 
cluster to query data depends on the query?

Thank you!
Abigail

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Re: ElasticSearch across multiple data center architecture design options

2015-03-12 Thread aaron
Why not load balance multiple tribe nodes, if you need multiple.

On Wednesday, March 11, 2015 at 9:41:39 AM UTC-6, Abigail wrote:

 Hi Mark,

 Thank you for your reply. Is there any existing approach for kibana to 
 communicate with multiple tribe nodes? Or is it something we should 
 implement by ourselves by customizing kibana?

 Thank you!
 Abigail

 On Tuesday, March 10, 2015 at 8:56:25 PM UTC-4, Mark Walkom wrote:

 1 - It's pretty simple and has been used before.
 2 - it can be yes. You can have multiple tribe nodes though.
 3 - This may be possible but you'd have to hack a fair bit of code, so 
 it's not really practical.

 On 10 March 2015 at 13:00, Alex nay...@gmail.com wrote:

 Hi all,

 We are planning to use ELK for our log analysis. We have multiple data 
 centers. Since it is not recommended to have across data center cluster, we 
 are going to have one ES cluster per data center,  here are the three 
 design options we have:

 1. Use snapshot  restore to replicate data across clusters.
 2. Use tribe node to achieve across cluster queries
 3. Ship and index logs to each cluster

 Here are our questions, and any comments will be appreciated:
 1. How complex is snapshot  restore, anyone has experience on this 
 purpose?
 2. Would the performance of only one tribe node be a concern or 
 bottleneck, is it possible to have multiple tribe nodes for scale up or 
 load balancing?
 3. Is it possible to customize Kibana so that it can go to different 
 cluster to query data depends on the query?

 Thank you!
 Abigail

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Re: ElasticSearch across multiple data center architecture design options

2015-03-12 Thread naye923
Yes, that is what I meant. Is there any reference for set up the load
balance for Kibana 4?  Or if it is easier for Kibana 3?



On Thu, Mar 12, 2015 at 12:26 PM, aa...@definemg.com wrote:

 Why not load balance multiple tribe nodes, if you need multiple.


 On Wednesday, March 11, 2015 at 9:41:39 AM UTC-6, Abigail wrote:

 Hi Mark,

 Thank you for your reply. Is there any existing approach for kibana to
 communicate with multiple tribe nodes? Or is it something we should
 implement by ourselves by customizing kibana?

 Thank you!
 Abigail

 On Tuesday, March 10, 2015 at 8:56:25 PM UTC-4, Mark Walkom wrote:

 1 - It's pretty simple and has been used before.
 2 - it can be yes. You can have multiple tribe nodes though.
 3 - This may be possible but you'd have to hack a fair bit of code, so
 it's not really practical.

 On 10 March 2015 at 13:00, Alex nay...@gmail.com wrote:

 Hi all,

 We are planning to use ELK for our log analysis. We have multiple data
 centers. Since it is not recommended to have across data center cluster, we
 are going to have one ES cluster per data center,  here are the three
 design options we have:

 1. Use snapshot  restore to replicate data across clusters.
 2. Use tribe node to achieve across cluster queries
 3. Ship and index logs to each cluster

 Here are our questions, and any comments will be appreciated:
 1. How complex is snapshot  restore, anyone has experience on this
 purpose?
 2. Would the performance of only one tribe node be a concern or
 bottleneck, is it possible to have multiple tribe nodes for scale up or
 load balancing?
 3. Is it possible to customize Kibana so that it can go to different
 cluster to query data depends on the query?

 Thank you!
 Abigail

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Re: ElasticSearch across multiple data center architecture design options

2015-03-12 Thread naye923
Yes, that is what I meant. Is there any reference for set up the load
balance for Kibana 4?  Or if it is easier for Kibana 3?



On Thu, Mar 12, 2015 at 12:26 PM, aa...@definemg.com wrote:

 Why not load balance multiple tribe nodes, if you need multiple.


 On Wednesday, March 11, 2015 at 9:41:39 AM UTC-6, Abigail wrote:

 Hi Mark,

 Thank you for your reply. Is there any existing approach for kibana to
 communicate with multiple tribe nodes? Or is it something we should
 implement by ourselves by customizing kibana?

 Thank you!
 Abigail

 On Tuesday, March 10, 2015 at 8:56:25 PM UTC-4, Mark Walkom wrote:

 1 - It's pretty simple and has been used before.
 2 - it can be yes. You can have multiple tribe nodes though.
 3 - This may be possible but you'd have to hack a fair bit of code, so
 it's not really practical.

 On 10 March 2015 at 13:00, Alex nay...@gmail.com wrote:

 Hi all,

 We are planning to use ELK for our log analysis. We have multiple data
 centers. Since it is not recommended to have across data center cluster, we
 are going to have one ES cluster per data center,  here are the three
 design options we have:

 1. Use snapshot  restore to replicate data across clusters.
 2. Use tribe node to achieve across cluster queries
 3. Ship and index logs to each cluster

 Here are our questions, and any comments will be appreciated:
 1. How complex is snapshot  restore, anyone has experience on this
 purpose?
 2. Would the performance of only one tribe node be a concern or
 bottleneck, is it possible to have multiple tribe nodes for scale up or
 load balancing?
 3. Is it possible to customize Kibana so that it can go to different
 cluster to query data depends on the query?

 Thank you!
 Abigail

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Re: ElasticSearch across multiple data center architecture design options

2015-03-12 Thread aaron
Perhaps you are misunderstanding me.  ElasticSearch does not provide a load 
balancer for this purpose.  You would use a typical HTTP load balancer 
which could be anything as simple as Nginx, to something costly and 
expensive like a NetScalar.  Configuring such a loadbalancer I believe is 
outside the scope of this list.

On Thursday, March 12, 2015 at 11:16:12 AM UTC-6, Abigail wrote:

 Yes, that is what I meant. Is there any reference for set up the load 
 balance for Kibana 4?  Or if it is easier for Kibana 3?



 On Thu, Mar 12, 2015 at 12:26 PM, aa...@definemg.com javascript: 
 wrote:

 Why not load balance multiple tribe nodes, if you need multiple.


 On Wednesday, March 11, 2015 at 9:41:39 AM UTC-6, Abigail wrote:

 Hi Mark,

 Thank you for your reply. Is there any existing approach for kibana to 
 communicate with multiple tribe nodes? Or is it something we should 
 implement by ourselves by customizing kibana?

 Thank you!
 Abigail

 On Tuesday, March 10, 2015 at 8:56:25 PM UTC-4, Mark Walkom wrote:

 1 - It's pretty simple and has been used before.
 2 - it can be yes. You can have multiple tribe nodes though.
 3 - This may be possible but you'd have to hack a fair bit of code, so 
 it's not really practical.

 On 10 March 2015 at 13:00, Alex nay...@gmail.com wrote:

 Hi all,

 We are planning to use ELK for our log analysis. We have multiple data 
 centers. Since it is not recommended to have across data center cluster, 
 we 
 are going to have one ES cluster per data center,  here are the three 
 design options we have:

 1. Use snapshot  restore to replicate data across clusters.
 2. Use tribe node to achieve across cluster queries
 3. Ship and index logs to each cluster

 Here are our questions, and any comments will be appreciated:
 1. How complex is snapshot  restore, anyone has experience on this 
 purpose?
 2. Would the performance of only one tribe node be a concern or 
 bottleneck, is it possible to have multiple tribe nodes for scale up or 
 load balancing?
 3. Is it possible to customize Kibana so that it can go to different 
 cluster to query data depends on the query?

 Thank you!
 Abigail

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Re: ElasticSearch across multiple data center architecture design options

2015-03-11 Thread Abigail
Hi Mark,

Thank you for your reply. Is there any existing approach for kibana to 
communicate with multiple tribe nodes? Or is it something we should 
implement by ourselves by customizing kibana?

Thank you!
Abigail

On Tuesday, March 10, 2015 at 8:56:25 PM UTC-4, Mark Walkom wrote:

 1 - It's pretty simple and has been used before.
 2 - it can be yes. You can have multiple tribe nodes though.
 3 - This may be possible but you'd have to hack a fair bit of code, so 
 it's not really practical.

 On 10 March 2015 at 13:00, Alex nay...@gmail.com javascript: wrote:

 Hi all,

 We are planning to use ELK for our log analysis. We have multiple data 
 centers. Since it is not recommended to have across data center cluster, we 
 are going to have one ES cluster per data center,  here are the three 
 design options we have:

 1. Use snapshot  restore to replicate data across clusters.
 2. Use tribe node to achieve across cluster queries
 3. Ship and index logs to each cluster

 Here are our questions, and any comments will be appreciated:
 1. How complex is snapshot  restore, anyone has experience on this 
 purpose?
 2. Would the performance of only one tribe node be a concern or 
 bottleneck, is it possible to have multiple tribe nodes for scale up or 
 load balancing?
 3. Is it possible to customize Kibana so that it can go to different 
 cluster to query data depends on the query?

 Thank you!
 Abigail

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Re: ElasticSearch across multiple data center architecture design options

2015-03-10 Thread Mark Walkom
1 - It's pretty simple and has been used before.
2 - it can be yes. You can have multiple tribe nodes though.
3 - This may be possible but you'd have to hack a fair bit of code, so it's
not really practical.

On 10 March 2015 at 13:00, Alex naye...@gmail.com wrote:

 Hi all,

 We are planning to use ELK for our log analysis. We have multiple data
 centers. Since it is not recommended to have across data center cluster, we
 are going to have one ES cluster per data center,  here are the three
 design options we have:

 1. Use snapshot  restore to replicate data across clusters.
 2. Use tribe node to achieve across cluster queries
 3. Ship and index logs to each cluster

 Here are our questions, and any comments will be appreciated:
 1. How complex is snapshot  restore, anyone has experience on this
 purpose?
 2. Would the performance of only one tribe node be a concern or
 bottleneck, is it possible to have multiple tribe nodes for scale up or
 load balancing?
 3. Is it possible to customize Kibana so that it can go to different
 cluster to query data depends on the query?

 Thank you!
 Abigail

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