You need to include a security patch for one or more components of the infrastructure? Making available in existing production instances leads to changes, changes increase risk and users like to manually validate changes in production. Take advantage of the fact that the immutable infrastructure that is created by a continuous deployment pipeline. Update scripts, transfer them to version control, and let the pipeline think about deployments and testing. If you follow the same steps every time and use as much automation as possible, new instances go online and the old uncertain instances simply disappear. This proves that you are absolutely right right at the moment. It also proves that thinking that cunning is immutable is not far from the intent of developers and that there could be a really immutable list in the future. We have to work very hard to wait for things, and if these things were physical boxes in a rack, it was a necessary job because we configured hardware manually. But with logically isolated compute instances, which can be stripped with an API call in a truly infinite cloud, keeping the boxes is an intellectual ball and a chain. It binds us to worry about bad things and to work on them. If you give it up, you can focus on what`s important to the success of your application, instead of being constantly discounted by high maintenance costs and the difficulty of adopting new models. Currently, the listOf method is being implemented using a list of tables, but in the future it is possible to return more totally unshakeable list types to memory efficiency that exploit the fact that they know they can`t change. We can also include some convenience methods that allow us to convert between changing and immutable variants of the same basic class. Heroku is a user-friendly platform for providing applications.
This is a simple first step towards an immutable infrastructure. For each application you create, select a execution version and that version will be used until the system has to remove it, usually for assistance or security reasons. You are generally right. Although your statement leads to questioning all safety code concepts, the Kotlin team has put a lot of energy into design. You should not break the contract if you create both sides of the code: the API and its use. In real life, this is rarely the case, and there are “bad guys” out there looking for those possibilities. You can solve the above problem because of the vulnerability of the code, but if you don`t know the security problems of a solution, you can put your code in great danger. This problem is a good example of a possible coding injection: if you don`t know that the public variable you`re providing isn`t as immutable as you expected (and you mistakenly assume that your code is the only place it can be changed), a “bad guy” can change its content.
So the question is: should I use the Func1 implementation with a variable state in flatMap to transform items based on the history of previously distributed items (which works, btw), and if not, what alternatives should I use? In general, I am baffled by the recommended way of managing a complex variable state necessary for the transformation of observables. Thank you! Now it`s much cleaner. I misinterpreted as immutable “something that can only be set in construction time and has only non-changing functions.”