*       to make such changes to our serialized forms, and we have made them before, usually
   *       without trouble. In this case, my guess is that our chosen approach is even less likely
   *       to lead to trouble than an incompatible change would be.
   *   <li>We could make {@link #countMap} no longer be {@code final}. Then we could write to it

Now let's **refactor** this app a bit to increase **security** and **versatility**.

If you check the previous app, in the UI you can see that, up to now, it lets the client decide the `id` of the `Hero` to create. 😱

content:"\f59b"}.fa-laugh-wink:before{content:"\f59c"}.fa-layer-group:before{content:"\f5fd"}.fa-leaf:before{content:"\f06c"}.fa-leanpub:before{content:"\f212"}.fa-lemon:before{content:"\f094"}.fa-less:before{content:"\f41d"}.fa-less-than:before{content:"\f536"}.fa-less-than-equal:before{content:"\f537"}.fa-level-down-alt:before{content:"\f3be"}.fa-level-up-alt:before{content:"\f3bf"}.fa-life-ring:before{content:"\f1cd"}.fa-lightbulb:before{content:"\f0eb"}.fa-line:before{content:"\f3c0"}.fa-lin...

  public void testExpectedFpp() {
    BloomFilter<Object> bf = BloomFilter.create(HashTestUtils.BAD_FUNNEL, 10, 0.03);
    double fpp = bf.expectedFpp();
    assertThat(fpp).isEqualTo(0.0);
    // usually completed in less than 200 iterations
    while (fpp != 1.0) {
      boolean changed = bf.put(new Object());
      double newFpp = bf.expectedFpp();
      // if changed, the new fpp is strictly higher, otherwise it is the same

 *     with lexical order (case-insensitive in the English locale).
 *     <code>ga</code> and <code>final</code> sort the same as not having a qualifier.
 *   </li>
 * <li>A hyphen usually precedes a qualifier, and is always less important than digits/number. For example
 *   {@code 1.0.RC2 < 1.0-RC3 < 1.0.1}; but prefer {@code 1.0.0-RC2} over {@code 1.0.0.RC2}, and more

            sb.append("a");
        }
        String text = sb.toString();
        String id = SuggestUtil.createSuggestTextId(text);
        assertNotNull(id);
        // Should be exactly 445 or less
        assertTrue(id.length() <= 445);
    }

    @Test
    public void testCreateSuggestTextIdBoundaryJustUnder445() {
        // Create text that encodes to just under 445 characters

	dataUsageUpdateDirCycles         = 16                               // Visit all folders every n cycles.
	dataScannerCompactLeastObject    = 500                              // Compact when there is less than this many objects in a branch.
	dataScannerCompactAtChildren     = 10000                            // Compact when there are this many children in a branch.

An interesting detail is that the percentage of the **CPU used** by each process can **vary** a lot over time, but the **memory (RAM)** normally stays more or less **stable**.

If you have an API that does a comparable amount of computations every time and you have a lot of clients, then the **CPU utilization** will probably *also be stable* (instead of constantly going up and down quickly).

TLS Termination Proxy로 사용할 수 있는 옵션은 다음과 같습니다:

* Traefik (인증서 갱신도 처리 가능)
* Caddy (인증서 갱신도 처리 가능)
* Nginx
* HAProxy

## Let's Encrypt { #lets-encrypt }

Let's Encrypt 이전에는 이러한 **HTTPS 인증서**가 신뢰할 수 있는 제3자에 의해 판매되었습니다.

인증서를 획득하는 과정은 번거롭고, 꽤 많은 서류 작업이 필요했으며, 인증서도 상당히 비쌌습니다.

하지만 그 후 **[Let's Encrypt](https://letsencrypt.org/)**가 만들어졌습니다.

          continue restart; // We raced with an add or complete
        }
        curr = succ;
      }
      break;
    }
  }

  // A heuristic for timed gets. If the remaining timeout is less than this, spin instead of
  // blocking. This value is what AbstractQueuedSynchronizer uses.
  private static final long SPIN_THRESHOLD_NANOS = 1000L;

  @VisibleForTesting
  static String atomicHelperTypeForTest() {