Taking DFE for a first look
This applies to you if you want to see DFE actually work - on your laptop, a demo box, or a proof of concept - without committing to anything yet.
The goal here is narrow and worth stating: get one event in one end and see it come out the other. Everything else can wait.
What you need
- Docker Engine 26.0 and Docker Compose 2.34 or newer for the one-line installs, Compose 2.26 or newer for the rest
- make, git and Python 3 (standard library only), for a clone. Nothing under "With only Docker" needs them
- Network access to
ghcr.io/hyperi-io, where the images are public and pull with no login
With only Docker
docker compose -f oci://ghcr.io/hyperi-io/dfe-docker:compose up -d
That is the single-kafka stack, as Compose project dfe, from a compose file each release publishes beside the dfe-docker image (:compose-<version> keeps to one release). Point your browser to http://localhost:3000 and log in as admin with password dfe-first-login, which the console makes you change at first login. The file names no secret but that first-login password: the stack mints the rest at first start into a volume of its own, which down -v deletes. Every port it publishes listens on 127.0.0.1 only. docker compose -f oci://ghcr.io/hyperi-io/dfe-docker:compose down stops it and keeps the data.
docker compose -f oci://ghcr.io/hyperi-io/dfe-docker:demo up -d
The demo is the same stack as its own project, dfe-demo, and nothing to set up. At first start it seeds the demo's sources, dashboards and saved searches, then streams the Cisco ASA and FortiGate syslog below without stopping, beside two fetchers. It takes the same ports, so stop the stack above first. docker compose -f oci://ghcr.io/hyperi-io/dfe-docker:demo down -v removes all of it.
For a folder you can edit, the dfe-docker image sets one up holding the compose files, config and .env, which takes any profile and setting. In an empty folder. On Windows, use PowerShell: ${PWD} works there and in bash and zsh, but not in cmd.exe.
docker run --rm -v "${PWD}:/dfe" ghcr.io/hyperi-io/dfe-docker init
docker compose up -d
init copies the compose files, config and templates in, writes .env and env/ with fresh secrets, pins the newest published stack by digest and ends .env with what a plain docker compose needs. It sets up single-kafka, and --profile picks another. On a Linux host the files belong to the folder's owner. ghcr.io/hyperi-io/dfe-docker:<version> installs the stack that release was cut against, every time.
The same image runs the rest, in the same folder:
| Command | What it does |
|---|---|
login | Prints the access summary. With docker run -t it prints the admin password too |
init --upgrade | Copies the tree again and re-pins the stack, keeping every secret and setting. --stack X.Y.Z names the stack. Plain init refuses a folder that holds an install |
apply | Rewrites the compose settings after an edit to .env, or after the console adds or deletes a source. Run docker compose up -d --remove-orphans after it |
certs | Mints the console certificate DFE_PROXY_TLS=true needs |
Edit settings above the ## BEGIN dfe-docker block in .env. apply rewrites the block and --upgrade replaces config/. docker compose --profile '*' down stops everything, and -v deletes the data too.
The demo needs the stack up, the Docker socket and the folder at its own path, because compose in the container hands the Docker host the paths it sees. That is Linux, macOS or a WSL shell on Windows:
docker run --rm -v "${PWD}:${PWD}" -w "${PWD}" -v /var/run/docker.sock:/var/run/docker.sock ghcr.io/hyperi-io/dfe-docker demo
The same command with demo-stop takes it out, which docker compose down needs first.
Getting it running
make up # single-kafka, newest published stable stack
make up PROFILE=slim-grpc # another profile
make up VERSION=2.2.1 # an older stack
make up creates .env and env/, generates the secrets, pins every image from the DFE stack manifest, starts the stack and prints the console login. Its first line says the profile and stack in use. PROFILE= and VERSION= are written to .env, so the next make up keeps them.
The stack refuses to start on unpinned images rather than quietly pulling latest, which is why make up pins first. On something you might later deploy, "which image am I running?" should never have a vague answer. make init and make stack VERSION=X.Y.Z do the two steps by hand.
make ci finishes by running the power-on self test, which injects a few marked
events and proves they reached ClickHouse. If it prints PASS, the pipeline
works - you have already seen the thing you came to see.
Seeing your own data go through
Send an event to dfe-receiver, which every profile runs:
curl -X POST http://localhost:8080/ingest \
-H 'Content-Type: application/json' \
-d '{"_source":"main","message":"hello dfe"}'
make post reads the resolved profile and skips on one with no receiver, so if you are not sure which you have, run that instead.
Then look for it. make init gave ClickHouse's default user a generated
password, so the read needs it -- and a password on a command line is read back
out of ps and your shell history, so this reads it from .env and sends it as
a header:
python3 - <<'PY'
import urllib.request
from pathlib import Path
password = dict(
line.split("=", 1)
for line in Path(".env").read_text().splitlines()
if "=" in line and not line.startswith("#")
)["CLICKHOUSE_PASSWORD"]
query = "SELECT * FROM dfe.main ORDER BY _timestamp_load DESC LIMIT 5 FORMAT Vertical"
print(
urllib.request.urlopen(
urllib.request.Request(
"http://localhost:8123/",
data=query.encode(),
headers={"X-ClickHouse-User": "default", "X-ClickHouse-Key": password},
)
)
.read()
.decode()
)
PY
_source is what routes the event - the loader writes it to
<database>.<_source>, so "_source":"main" lands in dfe.main.
It will not appear instantly. The pipeline is asynchronous, Kafka most of all. A couple of seconds is normal.
Raw syslog, parsed per vendor
make demo streams Cisco ASA and FortiGate firewall logs into the running stack as raw syslog. dfe-transform-elastic works out which device sent each line, parses it and lands it in that vendor's own table. Palo Alto and Cisco IOS come back once dfe-receiver#212 and dfe-transform-elastic#133 land.
It needs a profile that runs dfe-transform-elastic per source, which is single-kafka (the default). On a clone with no stack running, make demo does the make up steps first. It refuses a profile without dfe-transform-elastic before it starts anything and never moves a running stack to another profile.
git clone https://github.com/hyperi-io/dfe-docker && cd dfe-docker
make demo # 20 lines a second over TCP, until you stop it or the receiver restarts
make demo DEMO_RATE=100 # replaces a running stream with a faster one
make demo-stop # removes the whole demo, as does `make down`
One pack
The demo is one set of pieces, listed in resources/demo/demo.json. make demo installs all of it and make demo-stop removes all of it. A re-run replaces the pieces and never duplicates them, and a piece that fails to install takes the rest out again. make up installs none of it.
| Piece | Where | What it is |
|---|---|---|
| Sources | resources/demo/sources/ | One POST /sources body per file: the demo-syslog intake, the cisco-asa and fortinet tables, and two fetchers |
| Fetchers | wikipedia-recentchanges, component-releases | Pull beside the receiver's push. wikipedia-recentchanges polls the MediaWiki recent changes API every 5 seconds, asking each window once (about 3 changes a second, with the first poll bringing in the last hour). component-releases takes the latest GitHub release of each public DFE component every 15 minutes, to stay inside GitHub's 60 unauthenticated requests an hour |
| Archive | demo-syslog has archive: true | On a Kafka profile dfe-archiver writes the raw syslog lines to the archiver-data volume (file:///var/lib/dfe-archiver/archive). dfe-archiver has no retention of its own, so the pack runs a pruner that keeps the archive to 15 minutes and 200 MB. A gRPC profile runs no archiver, so there the Source is created without archiving. The archiver has to read the DFE_ARCHIVER_ env names, which the archiver stack 2.2.1 pins (v1.7.39) does not, so on that stack the archive check fails and the demo removes itself |
| Console | resources/demo/console/ | A dashboard per source and one for the stack's health, and a saved search per source with a live tail. All are named demo- |
| Tables | dfe.cisco-asa, dfe.fortinet, dfe.demo-syslog, dfe.component-releases, dfe.wikipedia-recentchanges | make demo-stop leaves them, with their rows, because only the engine issues ClickHouse DDL and it never drops a table. The next make demo carries on in them, and make clean removes them with the volumes |
Each vendor replays about 6,000 sample lines from resources/demo/events/<source>/, ten minutes at the default rate before a line repeats, which python3 resources/demo/events/generate.py regenerates. The run turns on dfe-receiver's syslog listener (UDP and TCP on port 514) and recreates what that changes. It returns once every vendor table has gained rows and the archive holds a file, and leaves the stream running:
demo - console demo-cisco-asa: http://localhost:8090/dashboards/<id>
demo - console demo-wikipedia-live: http://localhost:8090/search/<id>?isLive=true
demo - dfe.cisco-asa: +N rows
demo - dfe.fortinet: +N rows
demo - dfe.demo-syslog: +0 rows
demo - dfe.main: +0 rows
demo - dfe.component-releases: 0 rows
demo - dfe.wikipedia-recentchanges: N rows
demo - dfe-archiver archive of demo-syslog: N files
demo - demo-syslog_land/default/2026/11/03/01-0001-<id>.jsonl.zst 77645 bytes
demo - first line of the newest: {"message":"%ASA-6-302014: Teardown TCP connection ...
demo - WARNING no rows in 'dfe.component-releases' yet. A fetcher's first poll waits 900s and none land when the stack has no egress to its upstream
demo - PASS every vendor table gained rows and the archiver wrote files, ready to query in the console's Search. The stream runs until `make demo-stop` or a receiver restart
dfe.component-releases fills about 15 minutes in, and the demo does not wait for it: an empty fetcher table only warns. A fetcher the profile cannot run or the engine cannot set up is skipped with a WARNING while the vendor demo runs on. A profile with no dfe-hyperdx gets no console pieces.
dfe.demo-syslog holds the lines no detector claimed. The replay script comes from the dfe-transform-elastic release the stack pins, so the demo needs a release with agentless detection and stops before changing anything on one without it. A make dev stack takes make demo DEV=1, which reads the script from DFE_SRC_ROOT when that is set.
What you are looking at
| Where | What |
|---|---|
| http://localhost:3000 | DFE UI |
| http://localhost:8081 | Kafka UI (topics, consumer groups, lag) |
| http://localhost:8123 | ClickHouse HTTP |
| http://localhost:8003 | dfe-engine API |
The console asks for a login; Kafbat, dfe-hyperdx and the ClickHouse port do not
authenticate you as a person. make creds prints the console login again.
The ingest ports bind all interfaces so anything can push to them. Everything
else -- every web UI included -- binds loopback by default, so the four links
above work on this box and nowhere else. DFE_BIND_SCOPE=all publishes the UIs
on every interface, and needs DFE_EXTERNAL_ORIGIN set to the address browsers
use -- make stops and says so otherwise. Read the auth section of
operating.md before you widen anything.
Stopping
make down # stop the containers, keep the data
make clean # stop everything and DELETE the volumes, including ClickHouse
make clean really does delete the warehouse. On a laptop that is usually what
you want; anywhere else, read it twice.
What this is and is not
It is the same image, from the same registry, that a Kubernetes deployment would run. There is no separate "demo build" - what you are evaluating is the real thing, packaged differently.
It is not secured, though it is not open either. make init mints two
logins -- admin for the console and the engine API, and breakglass for
recovery -- and generates ClickHouse's password with them. make creds prints
the admin one on a terminal and names the .env key holding the other;
access-summary.md, written beside .env and readable only by you, carries
both. Kafbat and dfe-hyperdx answer to anyone who can reach them on these profiles,
the opt-in auth profile puts an OIDC sign-in in front of both, and nothing here
serves TLS until you turn console TLS on.
That is fine on your machine and on a throwaway demo box. It is not
fine on anything reachable by people you have not met.
If the proof of concept goes well and the box becomes something real - even something small - read operating.md before it does. Small is still production, and the defaults here are tuned for a laptop.
Where next
| You want to | Read |
|---|---|
| Understand how the pieces fit | architecture.md |
| Run this where others depend on it | operating.md |
| Stand up a real deployment, or upgrade one | deploying.md |
| Know what the stack reports about itself | observability.md |
| Look up a variable or a port | configuration.md |
| Work on a DFE component | developing.md |
| Work out why something is broken | troubleshooting.md |