Landau's Theorem, Dirichlet Series An important theorem of Landau states that, given a Dirichlet Series f(s) with coefficients $a_n$ then

If $a_n\geq0$ for all values of n, the real point of the line of convergence is a singularity of f(s).

A particular example being $\zeta(s)$, which has coefficients constantly equal to 1 and thus has a singularity on $s=1$.
But if we consider the D.S. 
$$f(s)=\sum_{n=1}^{\infty}\dfrac{1}{n^s\log^2{}n} $$
it clearly has non-negative Dirichlet coeffiecients $(1/\log^2{}n\geq0)$ and abscissa of convergence equal to 1 with the series 
$$f(1)=\sum_{n=1}^{\infty}\dfrac{1}{n\log^2{}n} $$
being convergent. 
Doesn't this contrast with Landau's theorem mentioned above? What am I missing here?
 A: I suppose the meaning of singularity here is not, that $f(1)=\infty$ but rather just that f is not holomorphic at $1$. Naively differentiating $f$ leads to 
$$f'(s)=-\sum_{n=2}^\infty \frac{1}{n^s\log(n)},$$
which doesn't converge at $1$ anymore.
Edit: Actually for $Re(s)>1$ the derivative definitely has the above form. Therefore $f'(1+t)\to \infty$ for $t\to 0$ so $f$ cannot be continuously differentiable at $1$, therefore it is also not holomorphic.
A: Indeed, this theorem is not hard to prove.
Let $F(s) = \sum_{n=1}^\infty a_n n^{-s}, a_n \ge 0$ and $\sigma$ its abscissa of convergence, which means $ \sum_{n=1}^\infty a_n n^{-x} = \infty$ for $x < \sigma$.
If $F(s)$ has an analytic continuation which is analytic around $s= \sigma$ then take $\epsilon > 0$ small enough such that the Taylor series $\sum_{k=0}^\infty \frac{F^{(k)}(\sigma+\epsilon)}{k!} (x-\sigma-\epsilon)^k$ converges for some $x < \sigma$.
With $F_N(s) = \sum_{n=1}^N a_n n^{-s}$ we obtain term-by-term $$F(x) = \sum_{k=0}^\infty \frac{F^{(k)}(\sigma+\epsilon)}{k!} (x-\sigma-\epsilon)^k \ge \sum_{k=0}^\infty \frac{F_N^{(k)}(\sigma+\epsilon)}{k!} (x-\sigma-\epsilon)^k = F_N(x)$$ a contradiction since $\lim_{N \to \infty} F_N(x) = \sum_{n=1}^\infty a_n n^{-x}=\infty$.
Qed. an analytic continuation of $F(s)$ must have a singularity at $s=\sigma$.
