First Dcom
Dierdre Roussin
Disney Channel Original Movies or DCOM (formerly known as "Zoog Disney Channel Movie"[citation needed]) is any movie that is produced under the Disney Channel canon. They have been made at a rate of at least once a year since 1983. The first Disney Channel Original Movie was the movie Tiger Town.
At their peak, the DCOMs were released at a rate of approximately one per month, although this trend has slowed to an average one every two months. Although in the summer, it's about three movies in three months usually for some marathon or theme they have celebrating summer. Most hit films are subsequently released on home video.
Many television films have been produced for the U.S. cable network, Disney Channel, since the service's inception in 1983. In its early years, they were referred to as Disney Channel Premiere Films, and later Premieres. From late 1997 onwards, such productions have been branded under the Disney Channel Original Movies (DCOM) banner.
Most hit films were subsequently released on VHS, DVD, or, more recently, Blu-ray. However, many more in the DCOM library have never been released in any home video format. Before, DCOMs would be released months on DVD after it premiered on Disney Channel, but after Princess Protection Program aired, the DCOM DVDs are released a week after it premiered on Disney Channel. Also, although DCOMs have been produced in widescreen HD format since mid-2005, the 2009 release of Princess Protection Program became the first DCOM to receive a widescreen DVD transfer.
Most of these films were subsequently released on home video formats such as VHS, DVD, or more recently, Blu-ray, while others were not. Beginning with Princess Protection Program in 2009, releases of DCOMs on DVD months following their television premieres got reduced to a week after television premieres. The 2009 television film also became the first DCOM to appear in high-definition widescreen, although DCOMs have been produced in such a format since the release of Go Figure on June 10, 2005.
During the Memorial Day holiday weekend of 2016, Disney Channel began to air many older DCOMs in a specialized marathon programming block in celebration of its 100th film, Adventures in Babysitting, starting off with the 51 most popular films airing over the four-day weekend from May 27, 2016[2] and concluding on June 24, 2016 with the premiere of the aforementioned 100th Disney Channel Original Movie.[3]
From April 5 to May 24, 2021, Disney Channel hosted an eight-week event called "DCOM & Dessert", where a Disney Channel Original Movie would air every Monday night at 7:00 PM. Zombies 2 stars Ariel Martin and Chandler Kinney hosted this event and had their own baking segments where they would make interactive dessert recipes that families could make at home.[4]
Their conversation is interrupted by some dude named Cal and his dad, Alex. Cal is the new love intr-i mean kid. Of course Alex is cool and mom has the hots for him. So Marnie takes Cal on a tour of the house and they make small talk.
And now back to Halloween Town. Things are pretty grim with Aggie being dullified. Marnie needs a way to get out of the spell without breaking it. Cuz spells have backdoors like computers do with hackers or whatever.
I love these team up moments. They even topped the first one with sheer awesome! Cal is shocked, as most villains are when this kind of thing happens. They three arrive home to Mom. Sophie, and Dylan.
As far as a sequels go, this one was pretty good. It takes everything that made the first HalloweenTown good and makes it even better. The mythology is expanded, the characters do more, and the stakes are raises.
Here at TenForums.com we get lots of questions about Event ID 10016, which shows up in Event Viewer on nearly all Windows 10 PCs (and in modern Server versions as well, as it turns out). People who post these questions may even be irritated or upset....
These 10016 events are recorded when Microsoft components tries to access DCOM components without the required permissions. In this case, this is expected and by design. A coding pattern has been implemented where the code first tries to access the DCOM components with one set of parameters. If the first attempt is unsuccessful, it tries again with another set of parameters. The reason why it does not skip the first attempt is because there are scenarios where it can succeed. In those scenarios, that is preferable.
When I wrote Patterns of Enterprise Application Architecture, I coined what I called the First Law of Distributed Object Design: "don't distribute your objects". In recent months there's been a lot of interest in microservices, which has led a few people to ask whether microservices are in contravention to this law, and if so why I am in favor of them?
It's important to note that in this first law statement, I use the phrase "distributed objects". This reflects an idea that was rather in vogue in the late 90's early 00's but since has (rightly) fallen out of favor. The idea of distributed objects is that you could design objects and choose to use these same objects either in-process or remote, where remote might mean another process in the same machine, or on a different machine. Clever middleware, such as DCOM or a CORBA implementation, would handle the in-proces/remote distinction so your system could be written and you could break it up into processes independently of how the application was designed.
My objection to the notion of distributed objects was although you can encapsulate many things behind object boundaries, you can't encapsulate the remote/in-process distinction. An in-process function call is fast and always succeeds (in that any exceptions are due to the application, not due to the mere fact of making the call). Remote calls, however, are orders of magnitude slower, and there's always a chance that the call will fail due to a failure in the remote process or the connection.
The consequence of this difference is that your guidelines for APIs are different. In process calls can be fine-grained, if you want 100 product prices and availabilities, you can happily make 100 calls to your product price function and another 100 for the availabilities. But if that function is a remote call, you're usually better off to batch all that into a single call that asks for all 100 prices and availabilities in one go. The result is a very different interface to your product object. Consequently you can't take the same class (which is primarily about interface) and use it transparently in an in-process or remote manner.
The microservice-advocates I've talked to are very aware of this distinction, and I've not heard any of them talk about in-process/remote transparency. So they aren't trying to do what distributed objects were trying to do, and thus don't violate the first law. Instead they advocated coarse-grained interactions with documents over HTTP or lightweight messaging.
So in essence, there is no contradiction between my views on distributed objects and advocates of microservices. Despite this essential non-conflict, there is another question that is now begging to be asked. Microservices imply small distributed units that communicate over remote connections much more than a monolith would do. Doesn't that contravene the spirit of the first law even if it satisfies the letter of it?
While I do accept that there are valid reasons to do for a distributed design for many systems, I do think distribution is a complexity booster. A coarser-grained API is more awkward than a fine-grained one. You need to decide what you are going to do about failure of remote calls, and the consequences to consistency and availability. Even if you minimize remote calls through your protocol design, you still have to think more about performance issues around them. When designing a monolith you have to worry about allocation of responsibilities between modules, with a distributed system you have to worry about allocation of responsibilities between modules and distribution factors.
While small microservices are certainly simpler to reason about, I worry that this pushes complexity into the interconnections between services, where it's less explicit and thus harder to figure out when it goes wrong. Refactoring becomes much harder when you have to do it across remote boundaries. Microservice advocates tout the reduction of coupling you get from asynchronous communication, but asynchrony is yet another complexity booster. Cookie-cutter scaling allows you to handle large volumes of traffic without increasing distribution complexity.
Consequently I'm wary of distribution and my default inclination is to prefer a monolithic design. Given that, why have I spent a lot of effort describing microservices and supporting my colleagues who are advocating it? The answer is because I know my gut feelings are not always right. I cannot deny that many teams have taken a microservices approach and have found success with it, whether they be well-known public cases like Netflix and (probably) Amazon, or various teams I've talked to both inside and outside of Thoughtworks. I am by nature an empiricist, one that believes that empirical evidence trumps theory, even if that theory is rather better worked out than my gut feel.
Not that I think the matter is settled yet. In software delivery, success is a very slippery thing to identify. Although organizations like Netflix and Spotify have trumpeted their earlier success with microservices there are also examples like Etsy or Facebook that have had success with much more monolithic architectures. However successful a team may think itself to have been with microservices, the only real comparison would be the counter-factual - would they have fared better with a monolith? The microservices approach has only been around for a relatively short time, so we don't have much evidence from a decade old legacy microservice architecture to compare it to those elderly monoliths that we dislike so much. And there may be factors we haven't identified that mean that in some circumstances monoliths are better while other situations favor the microservices. Given the difficulty in assembling evidence in software development it's more likely than not that there won't be a compelling decision in favor of one or the other even after many years have passed.