liamca 5 days ago link
preview) is $125 US month. By the way a single replica can handle about 15 QPS which for most customers is more than enough. But even with this, the ability to scale up and down is pretty important to a lot of people. Imagine Black Friday in the US where a retailer gets hammered with searches, yet only wants to allocate increased replicas for that day to handle the increased query load. There is a bit more information on this here: http: that helps,ChuckMcM 6 days ago link
tmarman,It is agreed that the jump from $0 to $125 (preview pricing) is a large jump and I can say we are definitely considering something in the middle ground. In my current case, I have millions of "documents" (in a Lucene sense of documents) but relatively low usage. Obviously, my goal long term is to increase the usage. It clunky, but it works. at least for the scale I use it at currently. I would love to be able to use Azure Search and scale it up again just like with all my other services.
Azure Search as a Service
arafalov,The purpose of starting with this "Simple query syntax" was to try to keep things as simple and straightforward as possible for both the developer and the users of search. We have only exposed the query syntax that we have found that customers we have been working with so far have needed. I am sure there will be more, and as you say, since the core is ElasticSearch, if the demand for things such as configurable analysis is there, we can certainly look to expose it in our API. It would be great to see pricing that followed, say, Azure Websites or SQL pricing.
documents is quite popular from what I have seen. In many of these examples (and also with Helathcare especially), privacy or more specifically encryption at rest as well as compliance (such as HIPPA) often become critical. As of today we don have either. We don have encryption at rest and we do not have HIPPA compliance for Azure Search. Of course, this will be a goal and I guess we need to start somewhere. Feel free to ping me as we have a loader for the WikiPedia dataset that I could look into sharing with you if would you like to play with it and Azure Search. It a back office event searching esque app. I even thought that the API interface looked somewhat similar to ES.
Hi blutoot,I am a Program Manager for Azure Search, so you will have to take this response as perhaps being a little ones sided. I think you will find that getting elastic search up and running in Azure to be very easy. As to your point about not worrying about scaling or management issues using ElaticSearch on Azure VM I don agree with this. There are so many things that you will still need to be concerned about. For example, Azure will periodically do VM updates and patches which will cause your VM to occasionally be restarted. This of course would affect your search availability which means if you can not permit downtime, you need to think about replicas across VM and how to manage availability groups so that the patches are applied in a way that you can avoid downtime. Then you have to think about how you are going to handle partitions and how you will shard your index across machines in the case where you need more than one VM to accommodate the amount of data you have in your index. All of these things and parts that we in Azure Search take on for you and Nike Air Max 2015 Mens Shoes Price make easy for you to scale up whether you need more replicas for higher QPS or higher availability or more partitions to allow for greater numbers of documents or faster data ingestion. His server got hacked and was shut down by Microsoft after they discovered it generated large amounts of traffic and participated in DOS attacks. (there was a vulnerabiliy, and many ElasticSearch servers were hacked a few months back)So I argue that using Azure Search Service, being managed, will free you from worries of having to manage and update yet another technology.
ChuckMcM, you are absolutely right. Nailing down QPS rates are an incredibly tough thing. Not just for Azure Search but also for most Search engines that I am aware of. Things like of facets, complexity of queries all play a part in what a search engine can serve up from a QPS rate. When we say 15QPS we try to point out that this is based on an average index of the ones that we have seen from our typical customers. The interesting thing about internal organizational apps is that we are seeing more an more users are finding that search is a natural way to navigate and explore their data. It is interesting that you say lawyers because we have had a number of companies in the law field that have wanted to use Azure Search. Things like indexing of case Nike Air Max Shoes For Women 2015
Hi ChuckMcM,I a Program Manager on the Azure Search team. I am going to correct your numbers a bit. Even though you can have a maximum number of 36 search units, the number of partitions you can create (currently) is 12. Partitions, by the way is what you increase to allow you to increase the number of documents. With this limit of 12 partitions, the maximum size of an index is actually 180M documents or 300 GB (not 900 GB as you stated). You can think of a search unit as a dedicated Azure VM for your usage. For each additional Search unit you create is an additional VM for your use. Each VM has a certain amount of capacity that it can handle. If your needs grow beyond what you can get with a single search unit, you can move the dial up to increase it whether it is increasing replica count to add more QPS High Availability or increasing partitions to add more documents faster data ingestion. The way you calculate the number of search units you have is replicas x partitions, where each search unit (during public Air Max Women Thea
This comes out at a time when I finally decided to start digging into ElasticSearch. Since it a side project, I don have to worry about scaling and management Nike Max Air 2015
issues. So just from the standpoint of functionalities, is there any advantage of this Search as a Service over an ElasticSearch cluster on Azure Virtual Machines?
So using their numbers (max 36 15 qps per unit, 25GB) that is a max search corpus of 540M documents or 900GB, 540qps, $4,500 (approx) per month which is a discount of 50% so $9K when full up). Does anyone know if the 36 host limit arises out of the requirement that all units are in the same rack?I wondering what the target market for that is?
blutoot 6 days ago link
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