I have a Bernoulli trial where $P$ is really small $\approx 10^{-20}$ and $N\approx10^{10}$ is really big but still much smaller than $1/P$, ie $NP$ is very small.
Directly computing the chance of at least one success, $1-(1-P)^N$, is not practical (AFAIK). My intuition says its very close to $PN$ though (every time you multiply $(1-P)$ times something close to $1$, the product is $P$ smaller). Is this sufficient? Is there something I can cite to say this is sufficient or is it “obvious”.
EDIT: Addressing a comment below. By “very close” I mean within an order of magnitude.
A nice approach is to just give a bracket that is as narrow as you want. One way to do that is to let $f(P)=(1-P)^N$ and then $f'(P)=-N(1-P)^{N-1},f''(P)=N(N-1)(1-P)^{N-2}$, so $f(0)=1,f'(0)=-N,f''(0)=N(N-1)$. Additionally $f'''(P)<0$. Therefore, the first order Taylor expansion is a lower bound (since the second derivative is everywhere positive) and the second order Taylor expansion is an upper bound (since the third derivative is everywhere negative). Hence
$$1-NP \leq (1-P)^N \leq 1-NP+N(N-1) P^2/2$$
or to specialize to your case
$$NP-N(N-1) P^2/2 \leq 1-(1-P)^N \leq NP.$$
Therefore the relative error in choosing an approximation from this interval is at worst on the order of $NP$.