2024-11-14

.ddev/redis/advanced.conf

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+# #ddev-generated
+############################### ADVANCED CONFIG ###############################
+
+# Hashes are encoded using a memory efficient data structure when they have a
+# small number of entries, and the biggest entry does not exceed a given
+# threshold. These thresholds can be configured using the following directives.
+hash-max-ziplist-entries 512
+hash-max-ziplist-value 64
+
+# Lists are also encoded in a special way to save a lot of space.
+# The number of entries allowed per internal list node can be specified
+# as a fixed maximum size or a maximum number of elements.
+# For a fixed maximum size, use -5 through -1, meaning:
+# -5: max size: 64 Kb  <-- not recommended for normal workloads
+# -4: max size: 32 Kb  <-- not recommended
+# -3: max size: 16 Kb  <-- probably not recommended
+# -2: max size: 8 Kb   <-- good
+# -1: max size: 4 Kb   <-- good
+# Positive numbers mean store up to _exactly_ that number of elements
+# per list node.
+# The highest performing option is usually -2 (8 Kb size) or -1 (4 Kb size),
+# but if your use case is unique, adjust the settings as necessary.
+list-max-ziplist-size -2
+
+# Lists may also be compressed.
+# Compress depth is the number of quicklist ziplist nodes from *each* side of
+# the list to *exclude* from compression.  The head and tail of the list
+# are always uncompressed for fast push/pop operations.  Settings are:
+# 0: disable all list compression
+# 1: depth 1 means "don't start compressing until after 1 node into the list,
+#    going from either the head or tail"
+#    So: [head]->node->node->...->node->[tail]
+#    [head], [tail] will always be uncompressed; inner nodes will compress.
+# 2: [head]->[next]->node->node->...->node->[prev]->[tail]
+#    2 here means: don't compress head or head->next or tail->prev or tail,
+#    but compress all nodes between them.
+# 3: [head]->[next]->[next]->node->node->...->node->[prev]->[prev]->[tail]
+# etc.
+list-compress-depth 0
+
+# Sets have a special encoding in just one case: when a set is composed
+# of just strings that happen to be integers in radix 10 in the range
+# of 64 bit signed integers.
+# The following configuration setting sets the limit in the size of the
+# set in order to use this special memory saving encoding.
+set-max-intset-entries 512
+
+# Similarly to hashes and lists, sorted sets are also specially encoded in
+# order to save a lot of space. This encoding is only used when the length and
+# elements of a sorted set are below the following limits:
+zset-max-ziplist-entries 128
+zset-max-ziplist-value 64
+
+# HyperLogLog sparse representation bytes limit. The limit includes the
+# 16 bytes header. When an HyperLogLog using the sparse representation crosses
+# this limit, it is converted into the dense representation.
+#
+# A value greater than 16000 is totally useless, since at that point the
+# dense representation is more memory efficient.
+#
+# The suggested value is ~ 3000 in order to have the benefits of
+# the space efficient encoding without slowing down too much PFADD,
+# which is O(N) with the sparse encoding. The value can be raised to
+# ~ 10000 when CPU is not a concern, but space is, and the data set is
+# composed of many HyperLogLogs with cardinality in the 0 - 15000 range.
+hll-sparse-max-bytes 3000
+
+# Streams macro node max size / items. The stream data structure is a radix
+# tree of big nodes that encode multiple items inside. Using this configuration
+# it is possible to configure how big a single node can be in bytes, and the
+# maximum number of items it may contain before switching to a new node when
+# appending new stream entries. If any of the following settings are set to
+# zero, the limit is ignored, so for instance it is possible to set just a
+# max entires limit by setting max-bytes to 0 and max-entries to the desired
+# value.
+stream-node-max-bytes 4096
+stream-node-max-entries 100
+
+# Active rehashing uses 1 millisecond every 100 milliseconds of CPU time in
+# order to help rehashing the main Redis hash table (the one mapping top-level
+# keys to values). The hash table implementation Redis uses (see dict.c)
+# performs a lazy rehashing: the more operation you run into a hash table
+# that is rehashing, the more rehashing "steps" are performed, so if the
+# server is idle the rehashing is never complete and some more memory is used
+# by the hash table.
+#
+# The default is to use this millisecond 10 times every second in order to
+# actively rehash the main dictionaries, freeing memory when possible.
+#
+# If unsure:
+# use "activerehashing no" if you have hard latency requirements and it is
+# not a good thing in your environment that Redis can reply from time to time
+# to queries with 2 milliseconds delay.
+#
+# use "activerehashing yes" if you don't have such hard requirements but
+# want to free memory asap when possible.
+activerehashing yes
+
+# The client output buffer limits can be used to force disconnection of clients
+# that are not reading data from the server fast enough for some reason (a
+# common reason is that a Pub/Sub client can't consume messages as fast as the
+# publisher can produce them).
+#
+# The limit can be set differently for the three different classes of clients:
+#
+# normal -> normal clients including MONITOR clients
+# replica  -> replica clients
+# pubsub -> clients subscribed to at least one pubsub channel or pattern
+#
+# The syntax of every client-output-buffer-limit directive is the following:
+#
+# client-output-buffer-limit <class> <hard limit> <soft limit> <soft seconds>
+#
+# A client is immediately disconnected once the hard limit is reached, or if
+# the soft limit is reached and remains reached for the specified number of
+# seconds (continuously).
+# So for instance if the hard limit is 32 megabytes and the soft limit is
+# 16 megabytes / 10 seconds, the client will get disconnected immediately
+# if the size of the output buffers reach 32 megabytes, but will also get
+# disconnected if the client reaches 16 megabytes and continuously overcomes
+# the limit for 10 seconds.
+#
+# By default normal clients are not limited because they don't receive data
+# without asking (in a push way), but just after a request, so only
+# asynchronous clients may create a scenario where data is requested faster
+# than it can read.
+#
+# Instead there is a default limit for pubsub and replica clients, since
+# subscribers and replicas receive data in a push fashion.
+#
+# Both the hard or the soft limit can be disabled by setting them to zero.
+client-output-buffer-limit normal 0 0 0
+client-output-buffer-limit replica 256mb 64mb 60
+client-output-buffer-limit pubsub 32mb 8mb 60
+
+# Client query buffers accumulate new commands. They are limited to a fixed
+# amount by default in order to avoid that a protocol desynchronization (for
+# instance due to a bug in the client) will lead to unbound memory usage in
+# the query buffer. However you can configure it here if you have very special
+# needs, such us huge multi/exec requests or alike.
+#
+# client-query-buffer-limit 1gb
+
+# In the Redis protocol, bulk requests, that are, elements representing single
+# strings, are normally limited to 512 mb. However you can change this limit
+# here, but must be 1mb or greater
+#
+# proto-max-bulk-len 512mb
+
+# Redis calls an internal function to perform many background tasks, like
+# closing connections of clients in timeout, purging expired keys that are
+# never requested, and so forth.
+#
+# Not all tasks are performed with the same frequency, but Redis checks for
+# tasks to perform according to the specified "hz" value.
+#
+# By default "hz" is set to 10. Raising the value will use more CPU when
+# Redis is idle, but at the same time will make Redis more responsive when
+# there are many keys expiring at the same time, and timeouts may be
+# handled with more precision.
+#
+# The range is between 1 and 500, however a value over 100 is usually not
+# a good idea. Most users should use the default of 10 and raise this up to
+# 100 only in environments where very low latency is required.
+hz 10
+
+# Normally it is useful to have an HZ value which is proportional to the
+# number of clients connected. This is useful in order, for instance, to
+# avoid too many clients are processed for each background task invocation
+# in order to avoid latency spikes.
+#
+# Since the default HZ value by default is conservatively set to 10, Redis
+# offers, and enables by default, the ability to use an adaptive HZ value
+# which will temporarily raise when there are many connected clients.
+#
+# When dynamic HZ is enabled, the actual configured HZ will be used
+# as a baseline, but multiples of the configured HZ value will be actually
+# used as needed once more clients are connected. In this way an idle
+# instance will use very little CPU time while a busy instance will be
+# more responsive.
+dynamic-hz yes
+
+# When a child rewrites the AOF file, if the following option is enabled
+# the file will be fsync-ed every 32 MB of data generated. This is useful
+# in order to commit the file to the disk more incrementally and avoid
+# big latency spikes.
+aof-rewrite-incremental-fsync yes
+
+# When redis saves RDB file, if the following option is enabled
+# the file will be fsync-ed every 32 MB of data generated. This is useful
+# in order to commit the file to the disk more incrementally and avoid
+# big latency spikes.
+rdb-save-incremental-fsync yes
+
+# Redis LFU eviction (see maxmemory setting) can be tuned. However it is a good
+# idea to start with the default settings and only change them after investigating
+# how to improve the performances and how the keys LFU change over time, which
+# is possible to inspect via the OBJECT FREQ command.
+#
+# There are two tunable parameters in the Redis LFU implementation: the
+# counter logarithm factor and the counter decay time. It is important to
+# understand what the two parameters mean before changing them.
+#
+# The LFU counter is just 8 bits per key, it's maximum value is 255, so Redis
+# uses a probabilistic increment with logarithmic behavior. Given the value
+# of the old counter, when a key is accessed, the counter is incremented in
+# this way:
+#
+# 1. A random number R between 0 and 1 is extracted.
+# 2. A probability P is calculated as 1/(old_value*lfu_log_factor+1).
+# 3. The counter is incremented only if R < P.
+#
+# The default lfu-log-factor is 10. This is a table of how the frequency
+# counter changes with a different number of accesses with different
+# logarithmic factors:
+#
+# +--------+------------+------------+------------+------------+------------+
+# | factor | 100 hits   | 1000 hits  | 100K hits  | 1M hits    | 10M hits   |
+# +--------+------------+------------+------------+------------+------------+
+# | 0      | 104        | 255        | 255        | 255        | 255        |
+# +--------+------------+------------+------------+------------+------------+
+# | 1      | 18         | 49         | 255        | 255        | 255        |
+# +--------+------------+------------+------------+------------+------------+
+# | 10     | 10         | 18         | 142        | 255        | 255        |
+# +--------+------------+------------+------------+------------+------------+
+# | 100    | 8          | 11         | 49         | 143        | 255        |
+# +--------+------------+------------+------------+------------+------------+
+#
+# NOTE: The above table was obtained by running the following commands:
+#
+#   redis-benchmark -n 1000000 incr foo
+#   redis-cli object freq foo
+#
+# NOTE 2: The counter initial value is 5 in order to give new objects a chance
+# to accumulate hits.
+#
+# The counter decay time is the time, in minutes, that must elapse in order
+# for the key counter to be divided by two (or decremented if it has a value
+# less <= 10).
+#
+# The default value for the lfu-decay-time is 1. A special value of 0 means to
+# decay the counter every time it happens to be scanned.
+#
+# lfu-log-factor 10
+# lfu-decay-time 1
+
+############################## DEBUG COMMAND #############################
+
+enable-debug-command yes
+
+########################### ACTIVE DEFRAGMENTATION #######################
+#
+# What is active defragmentation?
+# -------------------------------
+#
+# Active (online) defragmentation allows a Redis server to compact the
+# spaces left between small allocations and deallocations of data in memory,
+# thus allowing to reclaim back memory.
+#
+# Fragmentation is a natural process that happens with every allocator (but
+# less so with Jemalloc, fortunately) and certain workloads. Normally a server
+# restart is needed in order to lower the fragmentation, or at least to flush
+# away all the data and create it again. However thanks to this feature
+# implemented by Oran Agra for Redis 4.0 this process can happen at runtime
+# in a "hot" way, while the server is running.
+#
+# Basically when the fragmentation is over a certain level (see the
+# configuration options below) Redis will start to create new copies of the
+# values in contiguous memory regions by exploiting certain specific Jemalloc
+# features (in order to understand if an allocation is causing fragmentation
+# and to allocate it in a better place), and at the same time, will release the
+# old copies of the data. This process, repeated incrementally for all the keys
+# will cause the fragmentation to drop back to normal values.
+#
+# Important things to understand:
+#
+# 1. This feature is disabled by default, and only works if you compiled Redis
+#    to use the copy of Jemalloc we ship with the source code of Redis.
+#    This is the default with Linux builds.
+#
+# 2. You never need to enable this feature if you don't have fragmentation
+#    issues.
+#
+# 3. Once you experience fragmentation, you can enable this feature when
+#    needed with the command "CONFIG SET activedefrag yes".
+#
+# The configuration parameters are able to fine tune the behavior of the
+# defragmentation process. If you are not sure about what they mean it is
+# a good idea to leave the defaults untouched.
+
+# Enabled active defragmentation
+# activedefrag no
+
+# Minimum amount of fragmentation waste to start active defrag
+# active-defrag-ignore-bytes 100mb
+
+# Minimum percentage of fragmentation to start active defrag
+# active-defrag-threshold-lower 10
+
+# Maximum percentage of fragmentation at which we use maximum effort
+# active-defrag-threshold-upper 100
+
+# Minimal effort for defrag in CPU percentage, to be used when the lower
+# threshold is reached
+# active-defrag-cycle-min 1
+
+# Maximal effort for defrag in CPU percentage, to be used when the upper
+# threshold is reached
+# active-defrag-cycle-max 25
+
+# Maximum number of set/hash/zset/list fields that will be processed from
+# the main dictionary scan
+# active-defrag-max-scan-fields 1000
+
+# Jemalloc background thread for purging will be enabled by default
+jemalloc-bg-thread yes
+
+# It is possible to pin different threads and processes of Redis to specific
+# CPUs in your system, in order to maximize the performances of the server.
+# This is useful both in order to pin different Redis threads in different
+# CPUs, but also in order to make sure that multiple Redis instances running
+# in the same host will be pinned to different CPUs.
+#
+# Normally you can do this using the "taskset" command, however it is also
+# possible to this via Redis configuration directly, both in Linux and FreeBSD.
+#
+# You can pin the server/IO threads, bio threads, aof rewrite child process, and
+# the bgsave child process. The syntax to specify the cpu list is the same as
+# the taskset command:
+#
+# Set redis server/io threads to cpu affinity 0,2,4,6:
+# server_cpulist 0-7:2
+#
+# Set bio threads to cpu affinity 1,3:
+# bio_cpulist 1,3
+#
+# Set aof rewrite child process to cpu affinity 8,9,10,11:
+# aof_rewrite_cpulist 8-11
+#
+# Set bgsave child process to cpu affinity 1,10,11
+# bgsave_cpulist 1,10-11

.ddev/redis/append.conf

@@ -0,0 +1,133 @@
+# #ddev-generated
+############################## APPEND ONLY MODE ###############################
+
+# By default Redis asynchronously dumps the dataset on disk. This mode is
+# good enough in many applications, but an issue with the Redis process or
+# a power outage may result into a few minutes of writes lost (depending on
+# the configured save points).
+#
+# The Append Only File is an alternative persistence mode that provides
+# much better durability. For instance using the default data fsync policy
+# (see later in the config file) Redis can lose just one second of writes in a
+# dramatic event like a server power outage, or a single write if something
+# wrong with the Redis process itself happens, but the operating system is
+# still running correctly.
+#
+# AOF and RDB persistence can be enabled at the same time without problems.
+# If the AOF is enabled on startup Redis will load the AOF, that is the file
+# with the better durability guarantees.
+#
+# Please check http://redis.io/topics/persistence for more information.
+
+appendonly yes
+
+# The name of the append only file (default: "appendonly.aof")
+
+appendfilename "appendonly.aof"
+
+# For convenience, Redis stores all persistent append-only files in a dedicated
+# directory. The name of the directory is determined by the appenddirname
+# configuration parameter.
+
+appenddirname "append"
+
+# The fsync() call tells the Operating System to actually write data on disk
+# instead of waiting for more data in the output buffer. Some OS will really flush
+# data on disk, some other OS will just try to do it ASAP.
+#
+# Redis supports three different modes:
+#
+# no: don't fsync, just let the OS flush the data when it wants. Faster.
+# always: fsync after every write to the append only log. Slow, Safest.
+# everysec: fsync only one time every second. Compromise.
+#
+# The default is "everysec", as that's usually the right compromise between
+# speed and data safety. It's up to you to understand if you can relax this to
+# "no" that will let the operating system flush the output buffer when
+# it wants, for better performances (but if you can live with the idea of
+# some data loss consider the default persistence mode that's snapshotting),
+# or on the contrary, use "always" that's very slow but a bit safer than
+# everysec.
+#
+# More details please check the following article:
+# http://antirez.com/post/redis-persistence-demystified.html
+#
+# If unsure, use "everysec".
+
+appendfsync no
+
+# When the AOF fsync policy is set to always or everysec, and a background
+# saving process (a background save or AOF log background rewriting) is
+# performing a lot of I/O against the disk, in some Linux configurations
+# Redis may block too long on the fsync() call. Note that there is no fix for
+# this currently, as even performing fsync in a different thread will block
+# our synchronous write(2) call.
+#
+# In order to mitigate this problem it's possible to use the following option
+# that will prevent fsync() from being called in the main process while a
+# BGSAVE or BGREWRITEAOF is in progress.
+#
+# This means that while another child is saving, the durability of Redis is
+# the same as "appendfsync none". In practical terms, this means that it is
+# possible to lose up to 30 seconds of log in the worst scenario (with the
+# default Linux settings).
+#
+# If you have latency problems turn this to "yes". Otherwise leave it as
+# "no" that is the safest pick from the point of view of durability.
+
+no-appendfsync-on-rewrite no
+
+# Automatic rewrite of the append only file.
+# Redis is able to automatically rewrite the log file implicitly calling
+# BGREWRITEAOF when the AOF log size grows by the specified percentage.
+#
+# This is how it works: Redis remembers the size of the AOF file after the
+# latest rewrite (if no rewrite has happened since the restart, the size of
+# the AOF at startup is used).
+#
+# This base size is compared to the current size. If the current size is
+# bigger than the specified percentage, the rewrite is triggered. Also
+# you need to specify a minimal size for the AOF file to be rewritten, this
+# is useful to avoid rewriting the AOF file even if the percentage increase
+# is reached but it is still pretty small.
+#
+# Specify a percentage of zero in order to disable the automatic AOF
+# rewrite feature.
+
+auto-aof-rewrite-percentage 100
+auto-aof-rewrite-min-size 64mb
+
+# An AOF file may be found to be truncated at the end during the Redis
+# startup process, when the AOF data gets loaded back into memory.
+# This may happen when the system where Redis is running
+# crashes, especially when an ext4 filesystem is mounted without the
+# data=ordered option (however this can't happen when Redis itself
+# crashes or aborts but the operating system still works correctly).
+#
+# Redis can either exit with an error when this happens, or load as much
+# data as possible (the default now) and start if the AOF file is found
+# to be truncated at the end. The following option controls this behavior.
+#
+# If aof-load-truncated is set to yes, a truncated AOF file is loaded and
+# the Redis server starts emitting a log to inform the user of the event.
+# Otherwise if the option is set to no, the server aborts with an error
+# and refuses to start. When the option is set to no, the user requires
+# to fix the AOF file using the "redis-check-aof" utility before to restart
+# the server.
+#
+# Note that if the AOF file will be found to be corrupted in the middle
+# the server will still exit with an error. This option only applies when
+# Redis will try to read more data from the AOF file but not enough bytes
+# will be found.
+aof-load-truncated yes
+
+# When rewriting the AOF file, Redis is able to use an RDB preamble in the
+# AOF file for faster rewrites and recoveries. When this option is turned
+# on the rewritten AOF file is composed of two different stanzas:
+#
+#   [RDB file][AOF tail]
+#
+# When loading, Redis recognizes that the AOF file starts with the "REDIS"
+# string and loads the prefixed RDB file, then continues loading the AOF
+# tail.
+aof-use-rdb-preamble yes

.ddev/redis/general.conf

@@ -0,0 +1,44 @@
+# #ddev-generated
+################################# GENERAL #####################################
+
+# By default Redis does not run as a daemon. Use 'yes' if you need it.
+# Note that Redis will write a pid file in /var/run/redis.pid when daemonized.
+daemonize no
+
+# If you run Redis from upstart or systemd, Redis can interact with your
+# supervision tree. Options:
+#   supervised no      - no supervision interaction
+#   supervised upstart - signal upstart by putting Redis into SIGSTOP mode
+#                        requires "expect stop" in your upstart job config
+#   supervised systemd - signal systemd by writing READY=1 to $NOTIFY_SOCKET
+#   supervised auto    - detect upstart or systemd method based on
+#                        UPSTART_JOB or NOTIFY_SOCKET environment variables
+# Note: these supervision methods only signal "process is ready."
+#       They do not enable continuous pings back to your supervisor.
+supervised no
+
+# Specify the server verbosity level.
+# This can be one of:
+# debug (a lot of information, useful for development/testing)
+# verbose (many rarely useful info, but not a mess like the debug level)
+# notice (moderately verbose, what you want in production probably)
+# warning (only very important / critical messages are logged)
+loglevel notice
+
+# Specify the log file name. Also the empty string can be used to force
+# Redis to log on the standard output. Note that if you use standard
+# output for logging but daemonize, logs will be sent to /dev/null
+logfile ""
+
+# Set the number of databases. The default database is DB 0, you can select
+# a different one on a per-connection basis using SELECT <dbid> where
+# dbid is a number between 0 and 'databases'-1
+databases 4
+
+# By default Redis shows an ASCII art logo only when started to log to the
+# standard output and if the standard output is a TTY. Basically this means
+# that normally a logo is displayed only in interactive sessions.
+#
+# However it is possible to force the pre-4.0 behavior and always show a
+# ASCII art logo in startup logs by setting the following option to yes.
+always-show-logo yes

.ddev/redis/io.conf

@@ -0,0 +1,98 @@
+# #ddev-generated
+################################ THREADED I/O #################################
+
+# Redis is mostly single threaded, however there are certain threaded
+# operations such as UNLINK, slow I/O accesses and other things that are
+# performed on side threads.
+#
+# Now it is also possible to handle Redis clients socket reads and writes
+# in different I/O threads. Since especially writing is so slow, normally
+# Redis users use pipelining in order to speed up the Redis performances per
+# core, and spawn multiple instances in order to scale more. Using I/O
+# threads it is possible to easily speedup two times Redis without resorting
+# to pipelining nor sharding of the instance.
+#
+# By default threading is disabled, we suggest enabling it only in machines
+# that have at least 4 or more cores, leaving at least one spare core.
+# Using more than 8 threads is unlikely to help much. We also recommend using
+# threaded I/O only if you actually have performance problems, with Redis
+# instances being able to use a quite big percentage of CPU time, otherwise
+# there is no point in using this feature.
+#
+# So for instance if you have a four cores boxes, try to use 2 or 3 I/O
+# threads, if you have a 8 cores, try to use 6 threads. In order to
+# enable I/O threads use the following configuration directive:
+#
+io-threads 1
+
+#
+# Setting io-threads to 1 will just use the main thread as usual.
+# When I/O threads are enabled, we only use threads for writes, that is
+# to thread the write(2) syscall and transfer the client buffers to the
+# socket. However it is also possible to enable threading of reads and
+# protocol parsing using the following configuration directive, by setting
+# it to yes:
+#
+io-threads-do-reads no
+
+#
+# Usually threading reads doesn't help much.
+#
+# NOTE 1: This configuration directive cannot be changed at runtime via
+# CONFIG SET. Aso this feature currently does not work when SSL is
+# enabled.
+#
+# NOTE 2: If you want to test the Redis speedup using redis-benchmark, make
+# sure you also run the benchmark itself in threaded mode, using the
+# --threads option to match the number of Redis threads, otherwise you'll not
+# be able to notice the improvements.
+
+############################ KERNEL OOM CONTROL ##############################
+
+# On Linux, it is possible to hint the kernel OOM killer on what processes
+# should be killed first when out of memory.
+#
+# Enabling this feature makes Redis actively control the oom_score_adj value
+# for all its processes, depending on their role. The default scores will
+# attempt to have background child processes killed before all others, and
+# replicas killed before masters.
+
+oom-score-adj no
+
+# When oom-score-adj is used, this directive controls the specific values used
+# for master, replica and background child processes. Values range -1000 to
+# 1000 (higher means more likely to be killed).
+#
+# Unprivileged processes (not root, and without CAP_SYS_RESOURCE capabilities)
+# can freely increase their value, but not decrease it below its initial
+# settings.
+#
+# Values are used relative to the initial value of oom_score_adj when the server
+# starts. Because typically the initial value is 0, they will often match the
+# absolute values.
+
+oom-score-adj-values 0 200 800
+
+################################## SLOW LOG ###################################
+
+# The Redis Slow Log is a system to log queries that exceeded a specified
+# execution time. The execution time does not include the I/O operations
+# like talking with the client, sending the reply and so forth,
+# but just the time needed to actually execute the command (this is the only
+# stage of command execution where the thread is blocked and can not serve
+# other requests in the meantime).
+#
+# You can configure the slow log with two parameters: one tells Redis
+# what is the execution time, in microseconds, to exceed in order for the
+# command to get logged, and the other parameter is the length of the
+# slow log. When a new command is logged the oldest one is removed from the
+# queue of logged commands.
+
+# The following time is expressed in microseconds, so 1000000 is equivalent
+# to one second. Note that a negative number disables the slow log, while
+# a value of zero forces the logging of every command.
+slowlog-log-slower-than 10000
+
+# There is no limit to this length. Just be aware that it will consume memory.
+# You can reclaim memory used by the slow log with SLOWLOG RESET.
+slowlog-max-len 128

.ddev/redis/memory.conf

@@ -0,0 +1,142 @@
+# #ddev-generated
+############################## MEMORY MANAGEMENT ################################
+
+# Set a memory usage limit to the specified amount of bytes.
+# When the memory limit is reached Redis will try to remove keys
+# according to the eviction policy selected (see maxmemory-policy).
+#
+# If Redis can't remove keys according to the policy, or if the policy is
+# set to 'noeviction', Redis will start to reply with errors to commands
+# that would use more memory, like SET, LPUSH, and so on, and will continue
+# to reply to read-only commands like GET.
+#
+# This option is usually useful when using Redis as an LRU or LFU cache, or to
+# set a hard memory limit for an instance (using the 'noeviction' policy).
+#
+# WARNING: If you have replicas attached to an instance with maxmemory on,
+# the size of the output buffers needed to feed the replicas are subtracted
+# from the used memory count, so that network problems / resyncs will
+# not trigger a loop where keys are evicted, and in turn the output
+# buffer of replicas is full with DELs of keys evicted triggering the deletion
+# of more keys, and so forth until the database is completely emptied.
+#
+# In short... if you have replicas attached it is suggested that you set a lower
+# limit for maxmemory so that there is some free RAM on the system for replica
+# output buffers (but this is not needed if the policy is 'noeviction').
+#
+maxmemory 512mb
+
+# MAXMEMORY POLICY: how Redis will select what to remove when maxmemory
+# is reached. You can select one from the following behaviors:
+#
+# volatile-lru -> Evict using approximated LRU, only keys with an expire set.
+# allkeys-lru -> Evict any key using approximated LRU.
+# volatile-lfu -> Evict using approximated LFU, only keys with an expire set.
+# allkeys-lfu -> Evict any key using approximated LFU.
+# volatile-random -> Remove a random key having an expire set.
+# allkeys-random -> Remove a random key, any key.
+# volatile-ttl -> Remove the key with the nearest expire time (minor TTL)
+# noeviction -> Don't evict anything, just return an error on write operations.
+#
+# LRU means Least Recently Used
+# LFU means Least Frequently Used
+#
+# Both LRU, LFU and volatile-ttl are implemented using approximated
+# randomized algorithms.
+#
+# Note: with any of the above policies, Redis will return an error on write
+#       operations, when there are no suitable keys for eviction.
+#
+#       At the date of writing these commands are: set setnx setex append
+#       incr decr rpush lpush rpushx lpushx linsert lset rpoplpush sadd
+#       sinter sinterstore sunion sunionstore sdiff sdiffstore zadd zincrby
+#       zunionstore zinterstore hset hsetnx hmset hincrby incrby decrby
+#       getset mset msetnx exec sort
+#
+# The default is:
+#
+maxmemory-policy allkeys-lru
+
+# LRU, LFU and minimal TTL algorithms are not precise algorithms but approximated
+# algorithms (in order to save memory), so you can tune it for speed or
+# accuracy. By default Redis will check five keys and pick the one that was
+# used least recently, you can change the sample size using the following
+# configuration directive.
+#
+# The default of 5 produces good enough results. 10 Approximates very closely
+# true LRU but costs more CPU. 3 is faster but not very accurate.
+#
+maxmemory-samples 4
+
+# Redis reclaims expired keys in two ways: upon access when those keys are
+# found to be expired, and also in background, in what is called the
+# "active expire key". The key space is slowly and interactively scanned
+# looking for expired keys to reclaim, so that it is possible to free memory
+# of keys that are expired and will never be accessed again in a short time.
+#
+# The default effort of the expire cycle will try to avoid having more than
+# ten percent of expired keys still in memory, and will try to avoid consuming
+# more than 25% of total memory and to add latency to the system. However
+# it is possible to increase the expire "effort" that is normally set to
+# "1", to a greater value, up to the value "10". At its maximum value the
+# system will use more CPU, longer cycles (and technically may introduce
+# more latency), and will tolerate less already expired keys still present
+# in the system. It's a tradeoff between memory, CPU and latency.
+#
+active-expire-effort 2
+
+############################# LAZY FREEING ####################################
+
+# Redis has two primitives to delete keys. One is called DEL and is a blocking
+# deletion of the object. It means that the server stops processing new commands
+# in order to reclaim all the memory associated with an object in a synchronous
+# way. If the key deleted is associated with a small object, the time needed
+# in order to execute the DEL command is very small and comparable to most other
+# O(1) or O(log_N) commands in Redis. However if the key is associated with an
+# aggregated value containing millions of elements, the server can block for
+# a long time (even seconds) in order to complete the operation.
+#
+# For the above reasons Redis also offers non blocking deletion primitives
+# such as UNLINK (non blocking DEL) and the ASYNC option of FLUSHALL and
+# FLUSHDB commands, in order to reclaim memory in background. Those commands
+# are executed in constant time. Another thread will incrementally free the
+# object in the background as fast as possible.
+#
+# DEL, UNLINK and ASYNC option of FLUSHALL and FLUSHDB are user-controlled.
+# It's up to the design of the application to understand when it is a good
+# idea to use one or the other. However the Redis server sometimes has to
+# delete keys or flush the whole database as a side effect of other operations.
+# Specifically Redis deletes objects independently of a user call in the
+# following scenarios:
+#
+# 1) On eviction, because of the maxmemory and maxmemory policy configurations,
+#    in order to make room for new data, without going over the specified
+#    memory limit.
+# 2) Because of expire: when a key with an associated time to live (see the
+#    EXPIRE command) must be deleted from memory.
+# 3) Because of a side effect of a command that stores data on a key that may
+#    already exist. For example the RENAME command may delete the old key
+#    content when it is replaced with another one. Similarly SUNIONSTORE
+#    or SORT with STORE option may delete existing keys. The SET command
+#    itself removes any old content of the specified key in order to replace
+#    it with the specified string.
+# 4) During replication, when a replica performs a full resynchronization with
+#    its master, the content of the whole database is removed in order to
+#    load the RDB file just transferred.
+#
+# In all the above cases the default is to delete objects in a blocking way,
+# like if DEL was called. However you can configure each case specifically
+# in order to instead release memory in a non-blocking way like if UNLINK
+# was called, using the following configuration directives.
+
+lazyfree-lazy-eviction no
+lazyfree-lazy-expire no
+lazyfree-lazy-server-del no
+replica-lazy-flush no
+
+# It is also possible, for the case when to replace the user code DEL calls
+# with UNLINK calls is not easy, to modify the default behavior of the DEL
+# command to act exactly like UNLINK, using the following configuration
+# directive:
+
+lazyfree-lazy-user-del no

.ddev/redis/network.conf

@@ -0,0 +1,85 @@
+# #ddev-generated
+################################## NETWORK #####################################
+
+# By default, if no "bind" configuration directive is specified, Redis listens
+# for connections from all available network interfaces on the host machine.
+# It is possible to listen to just one or multiple selected interfaces using
+# the "bind" configuration directive, followed by one or more IP addresses.
+#
+# Examples:
+#
+# bind 192.168.1.100 10.0.0.1
+# bind 127.0.0.1 ::1
+#
+# ~~~ WARNING ~~~ If the computer running Redis is directly exposed to the
+# internet, binding to all the interfaces is dangerous and will expose the
+# instance to everybody on the internet. So by default we uncomment the
+# following bind directive, that will force Redis to listen only on the
+# IPv4 loopback interface address (this means Redis will only be able to
+# accept client connections from the same host that it is running on).
+#
+# IF YOU ARE SURE YOU WANT YOUR INSTANCE TO LISTEN TO ALL THE INTERFACES
+# JUST COMMENT OUT THE FOLLOWING LINE.
+# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+bind 0.0.0.0
+
+# Protected mode is a layer of security protection, in order to avoid that
+# Redis instances left open on the internet are accessed and exploited.
+#
+# When protected mode is on and if:
+#
+# 1) The server is not binding explicitly to a set of addresses using the
+#    "bind" directive.
+# 2) No password is configured.
+#
+# The server only accepts connections from clients connecting from the
+# IPv4 and IPv6 loopback addresses 127.0.0.1 and ::1, and from Unix domain
+# sockets.
+#
+# By default protected mode is enabled. You should disable it only if
+# you are sure you want clients from other hosts to connect to Redis
+# even if no authentication is configured, nor a specific set of interfaces
+# are explicitly listed using the "bind" directive.
+protected-mode yes
+
+# Accept connections on the specified port, default is 6379 (IANA #815344).
+# If port 0 is specified Redis will not listen on a TCP socket.
+port 6379
+
+# TCP listen() backlog.
+#
+# In high requests-per-second environments you need a high backlog in order
+# to avoid slow clients connection issues. Note that the Linux kernel
+# will silently truncate it to the value of /proc/sys/net/core/somaxconn so
+# make sure to raise both the value of somaxconn and tcp_max_syn_backlog
+# in order to get the desired effect.
+tcp-backlog 4096
+
+# Unix socket.
+#
+# Specify the path for the Unix socket that will be used to listen for
+# incoming connections. There is no default, so Redis will not listen
+# on a unix socket when not specified.
+#
+# unixsocket /tmp/redis.sock
+# unixsocketperm 700
+
+# Close the connection after a client is idle for N seconds (0 to disable)
+timeout 0
+
+# TCP keepalive.
+#
+# If non-zero, use SO_KEEPALIVE to send TCP ACKs to clients in absence
+# of communication. This is useful for two reasons:
+#
+# 1) Detect dead peers.
+# 2) Force network equipment in the middle to consider the connection to be
+#    alive.
+#
+# On Linux, the specified value (in seconds) is the period used to send ACKs.
+# Note that to close the connection the double of the time is needed.
+# On other kernels the period depends on the kernel configuration.
+#
+# A reasonable value for this option is 300 seconds, which is the new
+# Redis default starting with Redis 3.2.1.
+tcp-keepalive 0

.ddev/redis/redis.conf

@@ -0,0 +1,26 @@
+# #ddev-generated
+################################## INCLUDES ###################################
+
+# Network
+include /etc/redis/conf/network.conf
+
+# General
+include /etc/redis/conf/general.conf
+
+# Snapshots
+include /etc/redis/conf/snapshots.conf
+
+# Security
+include /etc/redis/conf/security.conf
+
+# Memory management
+include /etc/redis/conf/memory.conf
+
+# CPU management
+include /etc/redis/conf/io.conf
+
+# Append mode
+include /etc/redis/conf/append.conf
+
+# Advanced config
+include /etc/redis/conf/advanced.conf

.ddev/redis/security.conf

@@ -0,0 +1,12 @@
+# #ddev-generated
+################################## SECURITY ###################################
+
+# Warning: since Redis is pretty fast, an outside user can try up to
+# 1 million passwords per second against a modern box. This means that you
+# should use very strong passwords, otherwise they will be very easy to break.
+# Note that because the password is really a shared secret between the client
+# and the server, and should not be memorized by any human, the password
+# can be easily a long string from /dev/urandom or whatever, so by using a
+# long and unguessable password no brute force attack will be possible.
+user default ~* &* +@all on >redis
+user redis ~* &* +@all on >redis

.ddev/redis/snapshots.conf

@@ -0,0 +1,66 @@
+# #ddev-generated
+################################ SNAPSHOTTING  ################################
+#
+# Save the DB on disk:
+#
+#   save <seconds> <changes>
+#
+#   Will save the DB if both the given number of seconds and the given
+#   number of write operations against the DB occurred.
+#
+#   In the example below the behavior will be to save:
+#   after 300 sec (5 min) if at least 1 key changed
+#   after 150 sec (2.5 min) if at least 10 keys changed
+#   after 30 sec if at least 10000 keys changed
+#
+#   Note: you can disable saving completely by commenting out all "save" lines.
+#
+#   It is also possible to remove all the previously configured save
+#   points by adding a save directive with a single empty string argument
+#   like in the following example:
+#
+#   save ""
+save 3600 1 300 100 60 10000
+
+# By default Redis will stop accepting writes if RDB snapshots are enabled
+# (at least one save point) and the latest background save failed.
+# This will make the user aware (in a hard way) that data is not persisting
+# on disk properly, otherwise chances are that no one will notice and some
+# disaster will happen.
+#
+# If the background saving process will start working again Redis will
+# automatically allow writes again.
+#
+# However if you have setup your proper monitoring of the Redis server
+# and persistence, you may want to disable this feature so that Redis will
+# continue to work as usual even if there are problems with disk,
+# permissions, and so forth.
+stop-writes-on-bgsave-error yes
+
+# Compress string objects using LZF when dump .rdb databases?
+# By default compression is enabled as it's almost always a win.
+# If you want to save some CPU in the saving child set it to 'no' but
+# the dataset will likely be bigger if you have compressible values or keys.
+rdbcompression no
+
+# Since version 5 of RDB a CRC64 checksum is placed at the end of the file.
+# This makes the format more resistant to corruption but there is a performance
+# hit to pay (around 10%) when saving and loading RDB files, so you can disable it
+# for maximum performances.
+#
+# RDB files created with checksum disabled have a checksum of zero that will
+# tell the loading code to skip the check.
+rdbchecksum no
+
+# The filename where to dump the DB
+dbfilename haikuatelier.fr.rdb
+
+# The working directory.
+#
+# The DB will be written inside this directory, with the filename specified
+# above using the 'dbfilename' configuration directive.
+#
+# The Append Only File will also be created inside this directory.
+#
+# Note that you must specify a directory here, not a file name.
+dir /data