Recovering Chebyshev from Markov

Derive Chebyshev's inequality from Markov's inequality. In other words, show that for any random variable $X$ with mean $\mu$ and variance $\sigma^2$, \[ P(|X-\mu|\ge a)\le \frac{\sigma^2}{a^2}. \]