Delete a content – directly from database

Before we even start, I would reiterate that manipulating data directly should be avoided unless absolutely necessary, it should be used as the last resort, and should be proceeded with cautions – always back up first and test your queries on development database first before running it in production. And if the situation dictates that you have to run the query, better do it with the 4 eyes principle – having a colleague double check it for you. When it comes to production database, nothing is too careful.

Now back to the question, if you absolutely have to delete a content, you should do like this

exec editDeletePage @pageId = 123, @ForceDelete = 1

It is basically what Content Clouds (i.e. CMS) does under the hood, without the cache validation on the application layer of course.

So the moral of the story – do everything with API if you can. If you absolutely have to, use the built-in stored procedures – they are tested vigorously and should have minimal issues/bugs, and should take care of everything, data-wise for you. Only write your own query if there is no SP that can be used.

Update: Initially I mentioned Tomas’ post in this, and that gave impression his way is incorrect. I should have written better. My apologies to Tomas

A curious case of cookie threading issue

Threading is hard. It’s hard to get right. It’s hard to avoid race condition. Even with experienced developers, it’s not always a given (trust me, I’ve been there).

This time, the problem comes from a report that a customer constantly has high CPU situation, on all instances. Memory dumps were taken and I was able to take a look. As always, high CPU can be result of several causes, most likely thread deadlocks. For educational purposes, let’s take this memory dump step by step.

First steps are as with routine Windbg – open it. use Ctrl + D to start debugging a memory dump, then you would need to run .loadby sos clr to load the clr runtime

If you are debugging a memory dump that is captured on Azure, .loadby sos clr will not work with this error (if your Windows is installed to C:\ drive)

0:000> .loadby sos clr
The call to LoadLibrary(D:\Windows\Microsoft.NET\Framework64\v4.0.30319\sos.dll) failed, Win32 error 0n126
    "The specified module could not be found."
Please check your debugger configuration and/or network access.

Simply fix it by copy the path to sos.dll, replacing D with C, and rerun

.load C:\Windows\Microsoft.NET\Framework64\v4.0.30319\sos.dll

That should fix it.

Next step would be checking the CPU situation by .threadpool command

0:000> !threadpool
CPU utilization: 98%
Worker Thread: Total: 160 Running: 6 Idle: 134 MaxLimit: 32767 MinLimit: 140
Work Request in Queue: 0
--------------------------------------
Number of Timers: 2
--------------------------------------
Completion Port Thread:Total: 6 Free: 4 MaxFree: 8 CurrentLimit: 6 MaxLimit: 1000 MinLimit: 4

This confirms a high CPU situation. It’s however worth noting this CPU is for the entire instance, not necessarily for the process (w3wp) only, but it’s highly likely for an Azure App Service instance that the w3wp is the problem here.

The next step would be checking if there is any long running thread

0:000> !runaway
 User Mode Time
  Thread       Time
   39:1e34     2 days 11:44:59.546
   40:219c     2 days 8:08:56.765
   41:2198     1 days 4:53:46.687
   17:1480     0 days 0:19:38.171
   20:1334     0 days 0:14:57.718
   18:1798     0 days 0:12:53.625
   19:12f8     0 days 0:12:05.015
   31:a9c      0 days 0:03:39.093
   27:1494     0 days 0:01:35.406
   36:1e14     0 days 0:01:28.890
    5:1124     0 days 0:00:38.578
    6:1560     0 days 0:00:37.218
    3:ff8      0 days 0:00:34.984

Normally, the first few threads in the list are not that interesting, they are usually just timers that run from the application start up. But let’s leave no stone unturned, shall we? Let’s switch to the longest running thread

0:000> ~39s
00007ff9`297d9f59 458bf7          mov     r14d,r15d

Hmm, it does not look like a listener. Let’s see what it actually is with !clrstack

0:039> !clrstack
OS Thread Id: 0x1e34 (39)
        Child SP               IP Call Site
000000740273cff0 00007ff9297d9f59 System.Collections.Generic.HashSet`1[[System.__Canon, mscorlib]].Remove(System.__Canon)
000000740273d080 00007ff92a8eb4e3 System.Web.HttpCookieCollection.Get(System.String)
000000740273d0c0 00007ff9314de98d Abck.Web.Features.User.UserContext.get_CountryCurrency()
000000740273d100 00007ff93154367e Abck.Web.Features.Cart.Services.CountryCurrencyService.GetCountrySettingThreeAlpha(Abck.Web.Features.User.UserContext)
000000740273d140 00007ff93153b6dd Abck.Web.Features.Product.ViewModels.Builders.CoreProductViewModelBuilder+d__29.MoveNext()
000000740273d1f0 00007ff93153b54a System.Runtime.CompilerServices.AsyncTaskMethodBuilder`1[[System.__Canon, mscorlib]].Start[[Abck.Web.Features.Product.ViewModels.Builders.CoreProductViewModelBuilder+d__29, Abck.Web]](d__29 ByRef)
000000740273d2a0 00007ff93153b492 Abck.Web.Features.Product.ViewModels.Builders.CoreProductViewModelBuilder.GetProductPriceViewModel(System.String, Abck.Web.Features.User.UserContext)

That looks interesting. If we move to the second longest running thread, it looks oddly familiar

0:040> !clrstack
OS Thread Id: 0x219c (40)
        Child SP               IP Call Site
00000074be23d060 00007ff926c82f2e System.Collections.Generic.HashSet`1[[System.__Canon, mscorlib]].Contains(System.__Canon)
00000074be23d0d0 00007ff9307aebcd System.Web.HttpCookieCollection.EnsureKeyValidated(System.String, System.String)
00000074be23d110 00007ff92a8eb4e3 System.Web.HttpCookieCollection.Get(System.String)
00000074be23d150 00007ff9314de98d Abck.Web.Features.User.UserContext.get_CountryCurrency()
00000074be23d190 00007ff93154367e Abck.Web.Features.Cart.Services.CountryCurrencyService.GetCountrySettingThreeAlpha(Abck.Web.Features.User.UserContext)
00000074be23d1d0 00007ff93153b6dd Abck.Web.Features.Product.ViewModels.Builders.CoreProductViewModelBuilder+d__29.MoveNext()

And the third longest running thread

0:041> !clrstack
OS Thread Id: 0x2198 (41)
        Child SP               IP Call Site
00000078597bd8d0 00007ff9297d9f59 System.Collections.Generic.HashSet`1[[System.__Canon, mscorlib]].Remove(System.__Canon)
00000078597bd960 00007ff92a8eb4e3 System.Web.HttpCookieCollection.Get(System.String)
00000078597bd9a0 00007ff9314de98d Abck.Web.Features.User.UserContext.get_CountryCurrency()
00000078597bd9e0 00007ff93154367e Abck.Web.Features.Cart.Services.CountryCurrencyService.GetCountrySettingThreeAlpha(Abck.Web.Features.User.UserContext)
00000078597bda20 00007ff93153b6dd Abck.Web.Features.Product.ViewModels.Builders.CoreProductViewModelBuilder+d__29.MoveNext()
00000078597bdad0 00007ff93153b54a System.Runtime.CompilerServices.AsyncTaskMethodBuilder`1[[System.__Canon, mscorlib]].Start[[Abck.Web.Features.Product.ViewModels.Builders.CoreProductViewModelBuilder+d__29, Abck.Web]](d__29 ByRef)

Any guess on what happened?

It looks like what we have a clear case of infinite loop. There were multiple threads trying to get the same cookie, and under the neath, the HttpCookieCollection.Get is not threadsafe, it tries to access an underlying HashSet<T> without properly locks. While one thread tried to remove items from the hashset, another tried to read it, and messed up the internal hash table. All three threads are then doomed in infinite loops, keep running and use up all CPU resources.

The fix in this case would be as simple as a lock around the code to get the CountryCurrency, but it’s best to be careful. Again, when fixing the problem of lack of lock, it’s easy to run into the problem of too much of lock.

Storing 100.000 prices per SKU – part 1

One of the questions I have received, from time to time, is that how to store a lot of prices per SKU in Optimizely (B2C) Commerce Cloud. While this is usually a perfect candidate for Optimizely B2B Commerce, there are many customers invested in B2C and want to make the best out of it. Is it possible?

It’s important to understand the pricing system of Optimizely Commerce (which is, written in detail in my book – shameless plug). But in short:

There are two price systems, IPriceService and IPriceDetailService
One is handling prices in batch – i.e. prices per SKU (IPriceService), and one is handling prices per individual price (IPriceDetailService)
Both are cached in latest version (cache for IPriceDetailService was added in late 13.x version)

With that in mind, it would be very problematic if you use IPriceService for such high number of prices per SKU, because each time you save a price, you save a lot of prices at once (same as loading prices). This is how the default IPriceService implementation saves prices of a SKU

create procedure dbo.ecf_Pricing_SetCatalogEntryPrices
    @CatalogKeys udttCatalogKey readonly,
    @PriceValues udttCatalogEntryPrice readonly
as
begin
    begin try
        declare @initialTranCount int = @@TRANCOUNT
        if @initialTranCount = 0 begin transaction

        delete pv
        from @CatalogKeys ck
        join dbo.PriceGroup pg on ck.CatalogEntryCode = pg.CatalogEntryCode
        join dbo.PriceValue pv on pg.PriceGroupId = pv.PriceGroupId

        merge into dbo.PriceGroup tgt
        using (select distinct CatalogEntryCode, MarketId, CurrencyCode, PriceTypeId, PriceCode from @PriceValues) src
        on (    tgt.CatalogEntryCode = src.CatalogEntryCode
            and tgt.MarketId = src.MarketId
            and tgt.CurrencyCode = src.CurrencyCode
            and tgt.PriceTypeId = src.PriceTypeId
            and tgt.PriceCode = src.PriceCode)
        when matched then update set Modified = GETUTCDATE()
        when not matched then insert (Created, Modified, CatalogEntryCode, MarketId, CurrencyCode, PriceTypeId, PriceCode)
            values (GETUTCDATE(), GETUTCDATE(), src.CatalogEntryCode, src.MarketId, src.CurrencyCode, src.PriceTypeId, src.PriceCode);

        insert into dbo.PriceValue (PriceGroupId, ValidFrom, ValidUntil, MinQuantity, MaxQuantity, UnitPrice)
        select pg.PriceGroupId, src.ValidFrom, src.ValidUntil, src.MinQuantity, src.MaxQuantity, src.UnitPrice
        from @PriceValues src
        left outer join PriceGroup pg
            on  src.CatalogEntryCode = pg.CatalogEntryCode
            and src.MarketId = pg.MarketId
            and src.CurrencyCode = pg.CurrencyCode
            and src.PriceTypeId = pg.PriceTypeId
            and src.PriceCode = pg.PriceCode

        delete tgt
        from dbo.PriceGroup tgt
        join @CatalogKeys ck on tgt.CatalogEntryCode = ck.CatalogEntryCode
        left join dbo.PriceValue pv on pv.PriceGroupId = tgt.PriceGroupId
        where pv.PriceGroupId is null

        if @initialTranCount = 0 commit transaction
    end try
    begin catch
        declare @msg nvarchar(4000), @severity int, @state int
        select @msg = ERROR_MESSAGE(), @severity = ERROR_SEVERITY(), @state = ERROR_STATE()
        if @initialTranCount = 0 rollback transaction
        raiserror(@msg, @severity, @state)
    end catch
end

If you have experience with SQL (which you probably should), you will see that it’s a deletion of rows in PriceValue that have CatalogEntryCode same as , then a merge, then a deletion of left over rows. To make matters worse, IPriceService system stores data on 3 tables: PriceValue, PriceGroup and PriceType. Imagine doing that with a few dozen of thousands rows.

Even if you change just one price, all prices of that specific SKU will be touched. It’d be fine if you have like ten prices, but if you have ten thousands prices, it’ll be a huge waste.

Not just that. To save one price, you would still need to load all prices of that specific SKU. That’s two layers of waste: the read operations at database layer, and then on application, a lot of price objects will need to be constructed, and then you need to recreate a datatable to send all the data back to the database to do the expensive operation above.

And wait, because the prices saved to IPriceService needs to be synchronized to IPriceDetailService (however, you can disable this). Prices that were changed (which is, all of them) need to be replicated to another table.

So in short, IPriceService was not designed to handle many prices per SKU. If you have less than a few hundred prices per SKU (on average), it’s fine. But if you have more than 1000 prices per SKU, it’s time to look at other options.

RedirectToAction is dead, long live RedirectToContent

In .NET 4.8/CMS 11.x and earlier, this is very commonly used to redirect an action

return RedirectToAction("Index", new{ node = contentLink });

Which will redirect the user to

public TResult Index(CheckoutPage currentPage );

and you will get the currentPage parameter set with content you specified by the contentLink.

However in .NET 5 once redirected currentPage will be null. It’s due to how .NET 5 handle the routing. The correct way is use this

return RedirectToContent(currentPage.ContentLink, "Index");

There is a action you can use – RedirectToContent. Note that the order of parameter is reserved – you pass in the content link to the content first, then the name of the action.

And that’s how’s it done in .NET 5/CMS 12.

Where to store big collection data

No, I do not mean that big, big data (in size of terabytes or more). It’s big collection, like when you have a List<string> and it has more than a few hundreds of items. Where to store it?

Naturally, you would want to store that data as a property of a content. it’s convenient and it just works, so you definitely can. But the actual question is: should you?

It’s as simple as this

public virtual IList<String> MyBigProperty {get;set;}

But under the hood, it’s more than just … that. Let’s ignore UI for a moment (rendering such long list is a bad UX no matters how you look at it, but you can simply ignore rendering that property by appropriate attributes), and focus on the backend aspects of it.

List<T> properties are serialized as a long strings, and save at once to database. If you have a big property in your content, this will happen every time you load your content:

The data must be read from database, then transferred through the network
The data must be parsed to create an array (the underlying data structure of List<T>. The original string is tossed away.
Now you have a big array that you might not use every time. it’s just there taking your previous LOH (as with the original string)

Same thing happens when you actually save that property

The data must be serialized as string, the List<T> is now tossed away
The data then must be transferred through the network
The data then saved to database. Even though it is a very long string and you changed, maybe 10 characters, it’s completely rewritten. Due to its size, there might be multiple page writes needed.

As you can see, it can create a lot of waste, especially if you rarely use that property. To make the matter worse, due to the size of the property, it means they are taking up space in LOH (large objects heap).

And imagine if you have such properties in each and every of your content. The waste is multiplied, and your site is now at risk of some frequent Gen 2 Garbage collection. Nobody likes visiting a website that freezes (if not crashes) once every 30 minutes.

Then when to store such big collection data?

The obvious answer is … somewhere else. Without other inputs, it’s hard to give you some concrete suggestions, but how’s about a normalized custom table? You have the key as the content reference, and the other column is each value of the list. Just an idea. Then you only load the data when you absolutely need it. More work, yes, but it’s the better way to do it.

Just a reminder that whatever you do, just stay away from DDS – Dynamic Data Store. It’s the worst option of all. Just, don’t 🙂

Getting being delete variant codes

I got the question here Content Events and Service API | Optimizely Developer Community , and CHKN contacted Optimizely developer support service which is the good/right thing to do. However it could be beneficial for a wider audience, hence this blogpost.

If you are developing new Optimizely Commerce Cloud now, you should be using the latest version (CMS 12/ Commerce 14), or at least Commerce 13.31 if you have to stay with .NET 4.8. You then could use the IContentEvents to listen to any events that might be fired from Service API.

However, if you are using older versions, you might be limited to lower level, non content event through EventContext. It works, but with a catch: there is no EntryDeleting event in EventContext. At this point I’m not entirely sure why, probably just an overlook. But it’s not impossible to work around that issue.

As I suggested in the post, EntryUpdating is like a blanket event – every change to the entries goes through there. The sender is a CatalogEntryDto, which should contain information about the being deleted entries.

        private void Instance_EntryUpdating(object sender, Mediachase.Commerce.Catalog.Events.EntryEventArgs e)
        {
            var dto = sender as CatalogEntryDto;
            if (dto != null)
            {
                var rows = dto.CatalogEntry.Where(x => x.RowState == DataRowState.Deleted);
                var deletingCodes = rows.Select(x => (string)x["Code", DataRowVersion.Original]);
                //do stuffs with codes being deleted.
            }
        }

And then to listen to the event in one of your IInitializationModule

EventContext.Instance.EntryUpdating += Instance_EntryUpdating;

However, there is a caveat here: as EntryUpdating happens before the entry deletion, it is possible that the change did not go through (i.e. the changes were to be reverted). It is unlikely, but it’s a possibility. You might accept that, or you can:

Store the id and code in a “Deleting entry” dictionary
Listen to EntryDeleted event and match from DeletedEntryEventArgs parameter (which contains EntryId ) to get the deleted Code, and continue from there.

Pro Optimizely Commerce Cloud can now be preordered

If you want to start your week with a purchase, then I have a (hopefully) good news for you: My book Pro Optimizely Commerce Cloud can now be preordered (but with immediate access to content). https://leanpub.com/prooptimizelycommercecloud

It took me a week due to an technical issue with Leanpub, but in the end it can now be purchased.

I planned to finish this book in August. As always, I overestimated my ability to work during nights, and underestimated my procrastination power. I made some progress, but far from completing the book.

My solution? Well, I will let money speak. By letting you (my dear readers) preorder the book, I make a commitment to finish it. The book is now at 50% complete, and I aim to make it content complete before the end of this year.

If you own the previous version (even if you got it for free), there will be a coupon with 60% off coming your way, please check your mailbox!

The book is dedicated to my children, Emmy and Erik. While I can’t say they are very supportive of me writing the book (quite the contrary), they are my biggest motivation to make more money (cough, cough), and are biggest smiles on my face.

I would like to thank many of my colleagues, former and current, who helped and supported me writing the first book, which was the beginning of everything.

I would like to thank Optimizely community for inspiration to write this book.

And of course, I would like to thank you, for buying and reading it.

And I hope it’ll help you.

The hidden gotcha with IObjectInstanceCache

It’s not a secret that cache is one of the most, if not the most, important factors to their website performance. Yes cache is great, and if you are using Optimizely Content/Commerce Cloud, you should be using ISynchronizedObjectInstanceCache to cache your objects whenever possible.

But caching is not easy. Or rather, the cache invalidation is not easy.

To ensure that you have effective caching strategy, it’s important that you have cache dependencies, i.e. In principles, there are two types of dependencies:

Master keys. This is to control a entire cache “segment”. For example, you could have one master key for the prices. If you needs to invalidate the entire price cache, just remove the master key and you’re done.
Dependency keys. This is to tell cache system that your cache item depends on this or that object. If this or that object is invalidated, your cache item will be invalidated automatically. This is particularly useful if you do not control this or that object.

ISynchronizedObjectInstanceCache allows you to control the cache dependencies by CacheEvictionPolicy . There are a few ways to construct an instance of CacheEvictionPolicy, from if the cache expiration will be absolute (i.e. it will be invalidated after a fixed amount of time), or sliding (i.e. if it is accessed, its expiration will be renewed), to if your cache will be dependent on one or more master keys, and/or one or more dependency keys, like this

   
        /// <summary>
        /// Initializes a new instance of the <see cref="CacheEvictionPolicy"/> class.
        /// </summary>
        /// <param name="cacheKeys">The dependencies to other cached items, idetified by their keys.</param>
        public CacheEvictionPolicy(IEnumerable<string> cacheKeys)

        /// <summary>
        /// Initializes a new instance of the <see cref="CacheEvictionPolicy"/> class.
        /// </summary>
        /// <param name="cacheKeys">The dependencies to other cached items, idetified by their keys.</param>
        /// <param name="masterKeys">The master keys that we depend upon.</param>
        public CacheEvictionPolicy(IEnumerable<string> cacheKeys, IEnumerable<string> masterKeys)

The constructors that takes master keys and dependency keys look pretty the same, but there is an important difference/caveat here: if there is no dependency key already existing in cache, the cache item you are inserting will be invalidated (i.e. removed from cache) immediately. (For master keys, the framework will automatically add an empty object (if none existed) for you.)

That will be some unpleasant surprise – everything seems to be working fine, no error whatsoever. But, if you look closely, your code seems to be hitting database more than it should. But other than that, your website performance is silently suffering (sometimes, not “silently”)

This is an easy mistake to make – I did once myself (albeit long ago) in an important catalog content cache path. And I saw some very experienced developers made the same mistake as well (At this point you might wonder if the API itself is to blame)

Take away:

Make sure you are using the right constructor when you construct an instance of CacheEvictionPolicy . Are you sure that the cache keys you are going to depend on, actually exist?

In newer version of CMS, there would be a warning in log if the cache is invalidated immediately, however, it could be missed, unless you are actively looking for it.

Note that this behavior is the same with ISynchronizedObjectInstanceCache as it extends IObjectInstanceCache.

Potential performance issue with Maxmind.db

From time to time, I have to dig into some customers’ profiler traces to figure out why their site is slow (yeah, if you follow me, you’d know that’s kind of my main job). There are multiple issues that can eat your website performance for breakfast, from loading too much content, to unmaintained database indexes. While my blog does not cover everything, I think you can get a good grasp of what mistakes to avoid.

But sometimes the problem might come from a 3rd party library/framework. It’s not new, as we have seen it with A curious case of memory dump diagnostic: How Stackify can cause troubles to your site – Quan Mai’s blog (vimvq1987.com). The problem with those types of issues is that they are usually overlooked.

The library we’ll be investigating today would be Maxmind.db. To be honest, I’ve never used it my own, but it seems to be a very popular choice to geography-map the visitors. It’s usually used by Optimizely sites for that purpose, using VisitorGroup (which is why it came under my radar).

For several sites that use it, it seems more often than not stuck in this stack

It’s essentially to think that CreateActivator is doing something heavy here (evidently with the LambdaCompiler.Compile part. A peek from decompiling actually shows that yes, it’s heavy. I’m not quite sure I can post the decompiled code here without violating any agreement (I did, in fact, accepted no agreement at this point), but it’s quite straightforward code: TypeActivatorCreator uses reflection to get the constructors of the Type passed to it, to sees if there is any constructor decorated with MaxMind.Db.Constructor attribute, then prepares some parameters, and creates an LambdaExpression that would create an instance of that Type, using found constructor (which is a good thing because a compiled expression would perform much better than just a reflection call).

(I’m using Mindmax.db 2.0.0, for the record)

The code is straightforward, but it is also slow – as any code which involves reflection and lambda compilation would be. The essential step would be to cache any result of this. This is actually a very good place to cache. The number of types are fixed during runtime (except for very edge cases where you dynamically create new types), so you won’t have to worry about cache invalidation. The cache would significantly improve the performance of above code.

And in TypeActivatorCreator there is a cache for it. It is a simple ConcurrentDictionary<Type, TypeActivator> , which would return an TypeActivator if the Type was requested before, or create one and cache it, it it hasn’t been. As I said, this is a very good place to add cache to this.

There is a cache for that, which is good. However, the very important tidbit here is that the dictionary is not static. That means, the cache only works, if the class is registered as Singleton (by itself, or by another class down the dependency chain), meaning, only one of the instance is created and shared between thread (which is why the ConcurrentDictionary part is important).

But except it’s not.

When I look at a memory dump that collected for a customer that is using Maxmind.db, this is what I got:

0:000> !dumpheap -stat -type TypeAcivatorCreator Statistics: MT Count TotalSize Class Name 00007ffa920f67e0 1 24 MaxMind.Db.TypeAcivatorCreator+<>c 00007ffa920f6500 147 3528 MaxMind.Db.TypeAcivatorCreator Total 148 objects

So there were 147 instances of TypeAcivatorCreator. Note that this is only the number of existing instances. There might be other instances that were disposed and garbaged by CLR.

Now it’s clear why it has been performing bad. For supposedly every request, a new instance of TypeActivatorCreator is created, and therefore its internal cache is simply empty (it is just newly created, too). Therefore each of request will go through the expensive path of CreateActivator, and performance suffers.

The obvious fix here is to make the dictionary static, or making the TypeActivatorCreator class Singleton. I don’t have the full source code of Mindmax.Db to determine which is better, but I’d be leaning toward the former.

Moral of the story:

Caching is very, very important, especially when you are dealing with reflection and lambda compilation
You can get it right 99%, but the 1% left could still destroy performance.

Update:

I reached out to Maxmind.db regarding this issue on November 9th, 2021

About 6h later they replied with this

I was at first confused, then somewhat disappointed. It is a small thing to fix to improve overall performance, rather than relying on/expecting customers to do what you say in documentation. But well, let’s just say we have different opinions.

Announcing Pro Optimizely Commerce Cloud

Yes, you guess it right, it’s a(nother) book

It has been 5 years since I started Pro Episerver Commerce back in early 2016. The book was a success, not as big as I hoped for, but definitely bigger than I expected. Tackling a niche market, it was fairly popular within the community, and it gave me a lot of happiness (and some pocket changes) to see that it helped many developers to understand and use the framework – which I help created, and love – better.

So much has changed in the last 5 years.

I have my first kid, and a second one. I left Commerce development team, to work on my own, then have a small team. Episerver bought Optimizely, then rebrand.

And so much more has happened with Episerver Commerce, more than just being renamed to Optimizely Commerce Cloud.

It deserves a new book!

To celebrate my 10th anniversary with Episerver (now Optimizely), I am proud, and excited to announce the second edition of Pro Episerver Commerce – Pro Optimizely Commerce Cloud. Most of the content written in Pro Episerver Commerce is still very much applicable, but I feel there is a need to refocus and expand on important parts.

You can register your interests today at https://leanpub.com/prooptimizelycommercecloud

Purchasers of Pro Episerver Commerce – even if you obtained the free version – will receive a 40% discount code for the new book – so don’t miss it.

I will see you there!