* Normally, a token is set to expire after some time.
        * So, the user will have to log in again at some point later.
        * And if the token is stolen, the risk is less. It is not like a permanent key that will work forever (in most of the cases).
* The frontend stores that token temporarily somewhere.
* The user clicks in the frontend to go to another section of the frontend web app.

      assertThat(expected.message).isEqualTo(
        "Payload size must be less than or equal to 125",
      )
    }
  }

  @Test fun pongTooLongThrows() {
    assertFailsWith<IllegalArgumentException> {
      serverWriter.writePong((binaryData(1000)))
    }.also { expected ->
      assertThat(expected.message).isEqualTo(
        "Payload size must be less than or equal to 125",
      )
    }
  }

    msys 'pacman --noconfirm -Syy coreutils curl dash file filesystem findutils'; \
    msys 'pacman --noconfirm -Syy flex gawk gcc-libs grep gzip inetutils info'; \
    msys 'pacman --noconfirm -Syy less lndir mintty ncurses pactoys-git patch'; \
    msys 'pacman --noconfirm -Syy pax-git pkgfile rebase sed tar tftp-hpa time tzcode util-linux which'; \
    $old_path = [Environment]::GetEnvironmentVariable(\"PATH\", \"Machine\"); \

Instead, the opposite was chosen: each workload will list the policies that select it.
This works out to be more efficient in common cases where policies change much less often than workloads.
This only applies for selector-based policies; namespaced and global policies can be handled without needing to list them out in the Workload API.

## Redirection

# Testing a Database

!!! info
    These docs are about to be updated. 🎉

    The current version assumes Pydantic v1, and SQLAlchemy versions less than 2.0.

    The new docs will include Pydantic v2 and will use <a href="https://sqlmodel.tiangolo.com/" class="external-link" target="_blank">SQLModel</a> (which is also based on SQLAlchemy) once it is updated to use Pydantic v2 as well.

# Other build-related tools
autoconf
automake
build-essential
ca-certificates
llvm-17
clang-17
clang-format-12
lld-17
colordiff
curl
ffmpeg
gdb
git
jq
less
libcurl3-dev
libcurl4-openssl-dev
libfreetype6-dev
libhdf5-serial-dev
libomp-17-dev
libssl-dev
libtool
libxml2-dev
libxslt1-dev
libzmq3-dev
mlocate
moreutils
openjdk-11-jdk
openjdk-11-jre-headless
openssl
patchelf

# How To - Recipes

Here you will see different recipes or "how to" guides for **several topics**.

Most of these ideas would be more or less **independent**, and in most cases you should only need to study them if they apply directly to **your project**.

If something seems interesting and useful to your project, go ahead and check it, but otherwise, you might probably just skip them.

!!! tip

* Running on startup
* Restarts
* Replication (the number of processes running)
* Memory
* Previous steps before starting

## Memory

If you run **a single process per container** you will have a more or less well-defined, stable, and limited amount of memory consumed by each of those containers (more than one if they are replicated).

### Allowed values for REDUCED_REDUNDANCY storage class

`REDUCED_REDUNDANCY` implies lesser parity than `STANDARD` class. So,`REDUCED_REDUNDANCY` parity drives should be

- Less than N/2, if `STANDARD` parity is not set.
- Less than `STANDARD` Parity, if it is set.

Default value for `REDUCED_REDUNDANCY` storage class is `1`.

## Get started with Storage Class

### Set storage class

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).