How to have a continous player experience in a setting that’s likely to favor tpk?

I am planning to design a Adventure which has a strong political flavor and is taking place in the Nine-Hells. Its gonna be an evil campaign. I plan to let the heroes start at level 15 and require the group to be lawful, as long their Character has no background provided, that clearly prevents them from turning against each other. So they at least have a chance to withstand the dangers of everyday life the 9-Hells are bringing.

But when I started designing all the Political party’s and hidden forces being involved into the plot it started reminding me a bit on the first 4 seasons of Game of Thrones. And I started realizing that a single bad decision might lead to forces turning against the party, even a group of level 20 heroes is unlikely to survive. I mean its the powerplays of arch devils the group will be taking part in.

I could mitigate this to some extend by a NPC that is a spy for the opposing political party getting intel from the group, becoming not a spy anymore and some yet unknown NPC being the plot relevant spy and such alike. But in other situations like siding with the wrong forces in a battle taking place, might inevitable lead to a TPK, as I can’t see how I could reshape such an complex plot just on the run.

So given that wrong decisions are likely to lead to a TPK, how can I ensure the players still having an continuous experience of the adventure, despite they will be very limited in recreation of new characters? As the characters are required to have specific intel about the plot and what the previous party figured out to be going on hidden in secrecy.

I could imagine that a new group simply could be a special force of one of the Lords the party was working for and simply being briefed about what they need to know. But I fear, being dispossessed by the freedom to design their characters background, makes it feel not like their character anymore from the moment the first TPK happened.

DynamoDB: How to model data that’s shared and queried by all users?

I am very intrigued by DynamoDB, and it works incredibly well when I model the data for my main use case for my application. That being said, there is one specific use case that I can’t wrap my head around.

Let’s say I have users in a table, with the user id being the primary key. Most information is specific to the user. I want to be able to communicate with my users so I want the ability to make announcements to them. These announcements are shared across all the users. I can store user specific information about announcements in their own attributes like read and unread announcements.

The problem (if it’s not clear already) is that there is only one set of announcements but they will be queried by every user frequently, leading to an anti-pattern of DynamoDB and potential throttling.

My initial thoughts are to make k copies of announcements and label the keys announcement_copy_1, announcement_copy_2 … announcement_copy_k, and then on the query to check for new announcements, I would randomly assign an integer 1-k to query the announcements. Each announcement copy would be the partition key and I would have sort keys with the date of the specific announcement, and attributes with the text and type of announcement.

I’m not confident if this is the best approach to this problem, or if I’m missing something. Also I am looking at going serverless with AWS Lambdas if that affects anything.

Thank you in advance for any suggestions or advice!

Is there a way to play video thats similar to the link attached? I dont want youtube or vimeo buttons to show, just a straight up auto-looped mp4

I want to copy this exact feature. click on the video thumbnail and the video auto plays and loops endlessly without youtube or vimeo branding.

What is a good approach for saving a Swift model that’s a struct containing structs to Core Data?

I’m new to Core Data, and am not sure how to reconcile the need to inherit from NSManagedObject with the fact that my model is a Swift struct composed of structs. I chose to make my a model value type so that it would be simple to push and pop it onto an undo stack. But since a value type can’t inherit, I’m unsure as to where to go next in order to save my model to the database. Should I turn my model into a class and use UndoManager instead? What might be some other possible approaches?

Recovering data from an Encrypted iTunes Backup that’s missing the Manifest.db

Is there a method to recover from an encrypted iTunes backup if it’s missing its manifest.db file?

I have the backup password and everything. There’s a couple of third party tools that can read an encrypted iTunes Backup, but they fail if the backup is missing its manifest.db file. (iMazing, iPhone Backup Extractor)

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Algorithm for selecting a sample that’s as spread out as possible?

I have a large database of data with dates. There are large gaps and large chunks of data without gaps. I want to get a sample of this data such that the dates are as spread out as possible (i.e. as close to evenly distributed as possible).

E.g. if the dates are [1, 2, 3, 4, 100] and I want to sample 3 elements, the ideal sample would be [1, 50.5, 100] and the closest available dates are [1, 4, 100].

Is this a known problem with an existing algorithm?

What is needed to secure a docker container that’s running on nodes in an AWS Private Subnet with internet access only via NAT?

I know securing a container is a big deal and a lot is needed to be done to secure a default container configuration. But having it in a private subnet should take care of a lots of risks.

So what major things does one need to start with to secure a docker container that’s running on nodes in an AWS Private Subnet with internet access only via NAT?