Tag Archives: Identity

HTTP PUT vs LDAP Modify

The StormPath blog has an interesting article exploring HTTP PUT vs POST in REST based APIs for managing identity information. The article is interesting and worth reading, but misses the bigger picture. It points out that both HTTP PUT and POST can be used for sending updates in a REST API, but the HTTP spec mandates the HTTP PUT be idempotent. The idempotent requirement dictates that for an HTTP PUT, all values must be sent on the request, not just the ones being modified by the client.

Now I am sure idempotent PUT operations are important to people that design ways to update html documents. But I’m not in that business and neither are you. I am in the business of designing and enabling distributed identity systems, and in that business you never send a modification request that passes data you don’t need to modify. Simply put, you have to assume multiple concurrent updates to the backend data.

Put another way the article could simply have said “Never use HTTP PUT for data modification”. And herein lies the most important lesson of REST APIs: the REST mechanism is the means by which to build distributed systems, not an end to itself. The fact that you are using REST does not obviate the principals of basic distributed system design.

Oh, but it gets worse. Assuming your data model is attribute-value based, some of those attributes are going to be multi-valued attributes. Just as a client should only transmit the attributes that are modified, it should also only transmit the value modifications for multi-valued attributes.

That’s why LDAP Modify works as it does. One common mistake developers make using LDAP is not doing proper multi-valued attribute updates. Likewise your REST API will not only need to support partial record updates but partials attribute value updates.

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Tell us how you really feel…

Okta has some choice words about ADFS in this recent post. I always felt that if you can’t say anything nice… don’t blog about it.

Jackson Shaw points out that the operative four letter word is FREE.

Claiming your product is better than a free product is a losing argument. A better approach is to make a product that co-exists with, and extends, a free product.

That’s where VIS and VIS Fedaration come in. ADFS is a great tool for a lot of enterprises. But for some enterprises it needs a little help. The OptimalIdM products work side by side with ADFS and AD and extend their capabilities.

[Full disclosure: I am an employee of OptimalIdM]

Office365 announcement

OptimalIdM announced its new Office365 offering this morning. You can read the announcement here.

This has been an great project to work on. OptimalIdM can now enhance Office365 with a great set of new features and can do so for both the WS-Federation Passive and Active profiles. The Active Profile is used for Office365 Lync and Outlook support.

The new features we add to Office365 include easy multi-forest support, support for non-AD users, support for users with non-addressable UPNs, two-factor authentication, auditing, and a whole bunch of other features.

Exciting times!

It’s easier to push than be pulled

There is a lot of push vs pull provisioning discussion going on recently. Both models have a place but there is hard and fast rule you should consider. If your solution requires your customers to stand up a web service (SOAP or REST) you are going to be running uphill against a head wind. Customers see public web services as support and security costs they just don’t want to pay.

For most customers it’s far easier to have a system running in a data center that makes that makes web service requests to a provider than it is to stand up a service. Google, for one recognizes this. The Google Apps Directory Sync is often incorrectly cited as a “Pull Provisioning” technology when it is exactly the opposite. The sync software runs on the customer side, reads from the local directory and pushes to the Google Apps Provisioning Web Service.

A proper provisioning standard, regardless if it’s SOAP or REST, should support both push and pull (note that SPML supports both). But I really don’t see the pull model getting much traction for cloud based provisioning. Perhaps it will for provisioning internal applications.

SPML and DSML search filters not so hard

One issue that has been raised in regards to SPML is search filters. SPML allows searches that optionally specify a starting point (in terms of an SPML container), a subset of data to return, and a search filter. In the DSML Profile, the search filter is naturally a DSML filter.

DSML filters can be arbitrarily complex, just like the LDAP filters they model. For instances a DSML filter could be something like “get everyone with the last name of smith”, or in DSML:

<filter xmlns=’urn:oasis:names:tc:DSML:2:0:core’>

<substrings name=’Name’><final>Smith</final></substrings>

</filter>

Or it could be “get everyone with last name smith not located in Orlando”:

<filter xmlns=’urn:oasis:names:tc:DSML:2:0:core’>

<and>

<substrings name=’Name’><final>Smith</final></substrings>

<not>

<substrings name=’Office’>

<final>Orlando</final>

</substrings>

</not>

</and>

</filter>

Now if your back end data is stored in LDAP, then this is pretty easy to handle. Just convert to an LDAP filter and do any attribute name mappings required. If you backend data is SQL, it just slightly more difficult to translate the DSML filter into a SQL query clause.

But what if your back end data store doesn’t support a query mechanism? What if the data is in a flat file, or a NOSQL DB? What if the data is only accessible through an API that doesn’t allow for filtering?

There are several ways to solve that problem, but the easiest is to recursively walk the DSML filter and create a decision tree where each node determines if a given instance passes the part of the filter it knows.  The code for this is pretty simple in .NET and I posted an example here. Note that this example is just a partial implementation of the SPML search request for the purposes of demonstrating this concept. It is not a full featured implementation of SPML.

The basic idea is that an abstract data provider would return a dictionary of the attribute values for each entry in the data. The interface could look like (in C#):

public interface IUnfilteredDataProvider {

List <DSMLData> DoUnfilteredSearch();

}

In this example the sample data provider reads entries from a flat file. On each search request the filter is recursively read and turned into nodes in a decision tree. Each data entry is then passed to the decision tree and if it passes the filter it is appended to the returned results:

List<DSMLData> dataList = this._unfilteredProvider.DoUnfilteredSearch();

DataFilter df = GetDataFilter(searchRequest);

List<PSOType> returnPSOs = new List<PSOType>();

// return only those entries that pass the filter

foreach (DSMLData data in dataList) {

if (df.Pass(data)) {

returnPSOs.Add(data.GetPSO());

}

}

The GetDataFilter method walks the DSML filter and constructs a decision tree (feel free to download the sample and look at the code for more details). No special meaning given to any of the attributes returned by the provider. They are all just treated as DSML attributes. Of course you will note a potential scalability issue with large data sets, but there are several tricks that can be used to minimize that (thoughts for a later post).

Oh, and this approach works great for creating a DSML service as well and the general concept would be just as easy to implement in Java.

So what does all this mean? Supporting filtered searches in an SPML or DSML service is really not that hard, even if your data is stored in a data store that does not support filtering.

Federated Provisioning

Nishant Kaushik has a great (and funny) slide deck on federated provisioning on his blog. He discusses some distinctions between two flavors of federated provisioning, the Just-in-time (JIT) and what he terms advanced provisioning (often referred to as bulk provisioning).

I would like to clarify a couple of points in his presentation, however. He talks about a possible SAML profile of SPML for JIT provisioning. There was already an effort (which I lead) to define a SAML profile of SPML in Project Liberty (most of the work has already been done if anyone wants to revive it). But this was not for JIT provisioning as there is really no need for SPML when doing JIT provisioning. JIT provisioning can be done by SAML alone (or OpenID+other stuff). Rather the SAML profile of SPML was intended for advanced (bulk) provisioning. While the DSML profile could be used for advanced provisioning the Liberty TEG felt that using the SAML attributes assertions as the provisioning data structure was a better fit for advance provisioning accounts that would later be used in a SAML sign-on.

Me, I see it six one way, half dozen the other.

Another point the Nishant brought up is the need for the equivalent of the SAML attribute query in SPML. That already exists in the form of the SPML Search query which supports getting a single user record and asking for a subset of attributes.

When discussion whether JIT or advanced provisioning is appropriate, the points that are usually brought up are auditing, de-provisioning, and billing. But Nishant overlooks the most important point:

Do the identities have any meaning outside of authentication?

If the answer for your service is yes, than JIT provisioning is likely not an option.This is not a case of “tightly coupled” versus “loosely coupled”. Rather it is a matter of business requirements.

Take my current employer CareMedic (now part of Ingenix). We have a suite of medical revenue cycle management web apps that we host as SaaS. We need to know the identities of our customer users for the purposes of workflow before the user actually logs into the system.

Of course there are plenty of apps where the business requirements make JIT provisioning ideal. But it still comes down to the business requirements, not the technical architecture or standards.

SPML SIG at Catalyst

Bob Blakley announces here that the Burton Group identity blog has transitioned to individual Gartner blogs. He also announces an SPML SIG at the next two Catalysts.

It’s good to see attention being given to SPML again. But will this translate into real movement to adopt SPML (either 2.0 or a to be developed 3.0)? Perhaps, but we may have to take a step backwards in order to move forwards. If work starts on SPML 3.0 then that will effectively kill adoption of 2.0. But if 2.0 isn’t being adopted anyway, why not go ahead and do a 3.0?

Interesting times.