Let $\beta > 0$, $\lambda > 1$. Show the identity $$\sum_{n=0}^\infty\prod_{k=0}^{n} \frac{k+\beta}{\lambda + k + \beta} = \frac{\beta}{\lambda - 1}$$ I have checked the statement numerically.
The special case $\beta = 1$, $\lambda = 2$ looks like this $$\sum_{n=1}^\infty\prod_{k=1}^{n} \frac{k}{2 + k} = 1$$
This series arises in a probabilistic setting. Let $(Y_k)_{i\ge0}$ be independent exponentially distributed variables with parameters $k+\beta$ respectively and set $S_n := \sum_{k=0}^n Y_i$. For $t \ge 0$ let $X(t) := \#\{n \ge 0: S_n < t\}$. Let $Z_\lambda$ be exponentially distributed with parameter $\lambda$ and independent of $X(t)$. Then \begin{align*} EX(Z_\lambda) &= E\#\{n \ge 0: S_n < Z_\lambda\} \\ & = \sum_{n=0}^\infty P(S_n < Z_\lambda) \\ & = \sum_{n=0}^\infty Ee^{-\lambda S_n} \\ & = \sum_{n=0}^\infty \prod_{k=0}^n Ee^{-\lambda Y_k} \\ & = \sum_{n=0}^\infty \prod_{k=0}^n \frac{k+\beta}{\lambda + k + \beta} \end{align*}
Here are some useful facts.
Apply (2.) to $x_n=\dfrac{n+1+\beta}{\lambda+n+\beta}$ for every $n\geqslant0$. Then, $$ (1-x_n)\cdot\prod_{k=0}^{n-1}x_k=\frac{\lambda-1}\beta\cdot\prod_{k=0}^{n} \frac{k+\beta}{\lambda + k + \beta}, $$ and the infinite product on the RHS of (2.) is $$ \prod_{n=0}^{+\infty}x_n=\prod_{n=0}^{+\infty}\frac{n+1+\beta}{\lambda+n+\beta}=\prod_{n=0}^{+\infty}\left(1-\frac{\lambda-1}{\lambda+n+\beta}\right)=0, $$ since $\lambda-1\gt0$, using (3.). Hence $\dfrac{\lambda-1}\beta$ times the LHS of the identity in the post is $1-0=1$, as desired.
Edit: To compute $\displaystyle\sum_{n=1}^\infty\prod_{k=1}^{n} \frac{k}{2 + k} = 1$, one can note more simply that $$ \prod_{k=1}^{n} \frac{k}{2 + k}=\frac{2}{(n+1)(n+2)}=\frac{2}{n+1}-\frac{2}{n+2}. $$ Edit: To see that (3.) holds, note that $1-x\leqslant\mathrm e^{-x}$ for every real number $x$, hence $$ \prod_{n=0}^{+\infty}\left(1-\frac{a}{b+n}\right)\leqslant\exp\left(-\sum_{n=0}^{+\infty}\frac{a}{b+n}\right)=0. $$