As an application grows, it is almost certain to outgrow the capabilities of a PaaS system, leaving no choice but to look for alternatives. A good strategy is to choose the right platform for each component. Some components continue to run on a PaaS system; others run on specialized infrastructure. This strategy can be implemented with Dagger: each component gets its own deployment plan expressed as code, and Dagger glues it all together into a single workflow.
Most applications don't fit entirely in any major PaaS system. Instead they are deployed by a patchwork of tools, usually glued together by an artisanal script.
A deploy script may be written in virtually any scripting language. The most commonly used languages include Bash, Powershell, Make, Python, Ruby, Javascript... As well as a plethora of niche specialized languages.
Most teams are unhappy with their deploy script. They are high maintenance, tend to break at the worst possible time, and are less convenient to use than a PaaS. But when you need control of your stack, what other choice is there?
Dagger can either replace artisanal deploy scripts altogether, or augment them by incorporating them into a more standardized deployment system. This is a good strategy for teams which already have scripts and want to improve their deployment gradually, without the disruption of a "big bang" rewrite.
Most deployment workflows involve building: the process of producing executable artifacts from source code. Build systems are highly specific to the type of application, the programming language in use, etc.
Dagger can integrate any build system into an overall deployment workflow. If a Dagger module is not already available for a particular build system, a custom module can easily be written, and perhaps even contributed to the open-source catalog for everyone else to use.
