Posterior Mean After Two Streaming Measurements

A latent mean $\theta$ has prior $N(0,4)$. Observations arrive one by one with known noise variance $\sigma^2=1$ and realized values [2, 4]. After processing the full stream sequentially, what are the final posterior mean and variance?