Improved SMTP Responses and Throttling Changes

SMTP Responses

The robustness of our SMTP server has been improved by providing better response codes.

  • Response code 553 when email is missing a recipient
  • Response code 421 when inbound email is being throttled and the server is unable to accept the message until a later time
  • Response code 554 with meaningful error message describing the cause (blacklisting or internal server error)

Throttling Improvements

Incoming SMTP connections will be queued based on system load. The connection will stay open while waiting for system resources. If the SMTP connection cannot be completed in a reasonable period of time the server will issue a response code of 421. This situation may be encountered while sending a large amount of email from a specific server or to Mailsac hosted email address.

We offer custom domains to get around throttling, in all but the heaviest DDOS scenarios. Also, Enterprise customers can visit mailsac.com/enterprise to view higher performance or dedicated deployments.

API Response Fixes

The status code for reserving an address on the API was returning a 302 in some situations, while the documentation said it was a 200. This has been resolved. This endpoint for reserving an address will also return the address object.

When deleting a private address, the API used to return { "ok": true } with a 200 status code. Now the API will return a 200 a copy of the address object which was deleted.

Official API documentation

Open Source Spam Processing

Mailsac has added a new spamminess indicator in the API.

New messages will have a spam property that’s a score between 0.0 and 1.0. 1.0 indicates a high likelihood of spam. The system will get smarter over time.

The main component of spam detection is a time tested approach called Naive Bayes Classifier. The core of the code is open source at github.com/mailsac/spam-classifier, though a little special sauce is applied, too. This classifier library is ready to use and includes a simple API server and a terminal training tool.

In the works are additional spam classification projects using three different deep learning techniques: random forest, a long short term neural network, and a combination recurrent network + liquid state machine with spike dependent plasticity. The goal is to open source the useful pieces of the coming spam classifiers.

docker logo horizontal

Introducing Docker Support

UPDATE:
The on-premise version of Mailsac has been ended. Contact [email protected] to learn more about our dedicated instances instead
, or visit mailsac.com/enterprise.


On-Premise Mailsac now comes with the Dockerfiles and docker-compose.yml to get up and running in seconds using Docker.

Each Mailsac microservice can be run independently with Docker. A convenient Makefile is included alongside the Dockerfile in each service, with a sample task for running in docker (make docker-run).

Frontend API+UI example:

$ cd frontend
$ make docker-run
docker build -t mailsac/frontend .
Sending build context to Docker daemon   4.34MB
Step 1/7 : FROM node:8-alpine
 ---> 406f227b21f5
Step 2/7 : RUN apk update && apk add git
 ---> Using cache
 ---> d4e543b7bbe6
Step 3/7 : COPY . /opt/frontend
 ---> c23657034aba
Step 4/7 : WORKDIR /opt/frontend
Removing intermediate container 776dfd90f8e7
 ---> 5558d5ac56ab
Step 5/7 : RUN npm i --production
 ---> Running in 3b4298ca4ae0
added 333 packages in 12.184s
Removing intermediate container 3b4298ca4ae0
 ---> 8adfac5691b0
Step 6/7 : EXPOSE 3000
 ---> Running in 3070214927bd
Removing intermediate container 3070214927bd
 ---> 199808362a19
Step 7/7 : CMD node app.js
 ---> Running in e5ceede43634
Removing intermediate container e5ceede43634
 ---> 3dafbb6f3f2e
Successfully built 3dafbb6f3f2e
Successfully tagged mailsac/frontend:latest
docker run --rm -d -p 0.0.0.0:3000:3000 --name=mailsac mailsac/frontend
9533f06a0751e1a7ebb67de93b563e14679fed634d567728d81681fc99d6211d
docker logs -f frontend

------ Mailsac ------

connecting to mongo
started message disk cache
connected to mongo

Inbound SMTP server:

$ make docker-run
go build -ldflags '-s -w -X main.gitversion=v15.0.1'
docker build --no-cache -t mailsac/inbound .
Sending build context to Docker daemon  4.619MB
Step 1/5 : FROM alpine
 ---> 3fd9065eaf02
Step 2/5 : COPY inbound /opt/inbound
 ---> 1d14457a75fc
Step 3/5 : WORKDIR /opt
Removing intermediate container a97ae6ac27e0
 ---> a4230e86d399
Step 4/5 : EXPOSE 25 587
 ---> Running in e43b166f773e
Removing intermediate container e43b166f773e
 ---> 4bdc6745ff78
Step 5/5 : ENTRYPOINT ["/opt/inbound"]
 ---> Running in b812c4442101
Removing intermediate container b812c4442101
 ---> 620d169d15f1
Successfully built 620d169d15f1
Successfully tagged mailsac/inbound:latest
docker run --rm -d -p 0.0.0.0:25:25 -p 0.0.0.0:587:587 --name=inbound mailsac/inbound
cef23b5af410f0f5663727ad1c16cda5d070d3232ad2d5ee94db5b64562ad513
docker logs -f inbound
syslog connected:127.0.0.1:514
Starting server on port 587
Starting server on port 25

A sample docker-compose.yml file is also included. As a result you can have a fully running set of Mailsac services without even deploying it, in seconds. It should serve as a good starting point for understanding how the services talk to each other, and setting up your own deployment using pure Docker, Docker + Ansible, or an orchestrator like Kubernetes.

$ docker-compose up --build
Building relay
Step 1/7 : FROM node:8-alpine
 ---> 406f227b21f5
Step 2/7 : RUN apk update && apk add git
 ---> Using cache
 ---> d4e543b7bbe6
Step 3/7 : COPY . /opt/relay
 ---> Using cache
 ---> bdd144f2089f
Step 4/7 : WORKDIR /opt/relay
 ---> Using cache
 ---> 58a37f36a693
Step 5/7 : RUN npm i --production
 ---> Using cache
 ---> c0be4245ebf6
Step 6/7 : EXPOSE 3007
 ---> Using cache
 ---> 88c4d2f6c6b9
Step 7/7 : CMD node server.js
 ---> Using cache
 ---> f5b8551d0fbd
Successfully built f5b8551d0fbd
Successfully tagged ms2_relay:latest
Building notifier
Step 1/4 : FROM alpine
 ---> 3fd9065eaf02
Step 2/4 : COPY notifier /opt/notifier
 ---> Using cache
 ---> 5ee53ef401f3
Step 3/4 : EXPOSE 8080
 ---> Using cache
 ---> 57fb8f8fe110
Step 4/4 : ENTRYPOINT /opt/notifier
 ---> Using cache
 ---> 35ac15e5cc01
Successfully built 35ac15e5cc01
Successfully tagged ms2_notifier:latest
Building frontend
Step 1/7 : FROM node:8-alpine
 ---> 406f227b21f5
Step 2/7 : RUN apk update && apk add git
 ---> Using cache
 ---> d4e543b7bbe6
Step 3/7 : COPY . /opt/frontend
 ---> 37b9ad50d96f
Step 4/7 : WORKDIR /opt/frontend
Removing intermediate container a2b4b26dbac3
 ---> 0d1c573b307b
Step 5/7 : RUN npm i --production
 ---> Running in 535408d85bd6
npm WARN deprecated [email protected]: This project is unmaintained
npm notice created a lockfile as package-lock.json. You should commit this file.
added 333 packages in 11.041s
Removing intermediate container 535408d85bd6
 ---> 95016c15e489
Step 6/7 : EXPOSE 3000
 ---> Running in 4879a888ecea
Removing intermediate container 4879a888ecea
 ---> a086e8e90f50
Step 7/7 : CMD node app.js
 ---> Running in 834c6bc77297
Removing intermediate container 834c6bc77297
 ---> 3a815540ed78
Successfully built 3a815540ed78
Successfully tagged ms2_frontend:latest
Building outbound
Step 1/5 : FROM alpine
 ---> 3fd9065eaf02
Step 2/5 : COPY outbound /opt/outbound
 ---> Using cache
 ---> 76eba650e12d
Step 3/5 : EXPOSE 587
 ---> Using cache
 ---> 15e317117cf7
Step 4/5 : WORKDIR /opt
 ---> Using cache
 ---> 8e337b87460e
Step 5/5 : ENTRYPOINT ["/opt/outbound"]
 ---> Using cache
 ---> 755c189ce229
Successfully built 755c189ce229
Successfully tagged ms2_outbound:latest
Building pop3
Step 1/4 : FROM alpine
 ---> 3fd9065eaf02
Step 2/4 : COPY pop3 /opt/pop3
 ---> Using cache
 ---> 23743111b4ae
Step 3/4 : EXPOSE 9090 110
 ---> Using cache
 ---> 757d6120f3c3
Step 4/4 : ENTRYPOINT /opt/pop3
 ---> Using cache
 ---> 4f9969d09d90
Successfully built 4f9969d09d90
Successfully tagged ms2_pop3:latest
Building inbound
Step 1/5 : FROM alpine
 ---> 3fd9065eaf02
Step 2/5 : COPY inbound /opt/inbound
 ---> fbf61d35f8af
Step 3/5 : WORKDIR /opt
Removing intermediate container 7ed35fdd8d8a
 ---> dbf3f6c46c4d
Step 4/5 : EXPOSE 25 587
 ---> Running in 0ffeb91b767e
Removing intermediate container 0ffeb91b767e
 ---> dffa069abe07
Step 5/5 : ENTRYPOINT ["/opt/inbound"]
 ---> Running in f1cf5e565847
Removing intermediate container f1cf5e565847
 ---> 841f16e95ee1
Successfully built 841f16e95ee1
Successfully tagged ms2_inbound:latest
Building filer
Step 1/4 : FROM alpine
 ---> 3fd9065eaf02
Step 2/4 : COPY filer /opt/filer
 ---> Using cache
 ---> a700eb91ac4d
Step 3/4 : EXPOSE 3005
 ---> Using cache
 ---> 8e2c5401bf0a
Step 4/4 : ENTRYPOINT /opt/filer
 ---> Using cache
 ---> 1b578459a892
Successfully built 1b578459a892
Successfully tagged ms2_filer:latest
Starting ms2_mongo_1 ... 
Starting ms2_mongo_1 ... done
Starting ms2_notifier_1 ... done
Recreating ms2_frontend_1 ... done
Recreating ms2_inbound_1 ... 
Recreating ms2_filer_1 ... 
Recreating ms2_pop3_1 ... 
Recreating ms2_inbound_1 ... done
Attaching to ms2_relay_1, ms2_mongo_1, ms2_notifier_1, ms2_frontend_1, ms2_filer_1, ms2_pop3_1, ms2_outbound_1, ms2_inbound_1
relay_1     | starting app server on port 3007
notifier_1  | 
mongo_1     | 2018-03-11T23:20:13.328+0000 I CONTROL  [initandlisten] MongoDB starting : pid=1 port=27017 dbpath=/data/db 64-bit host=d2b548e5f949
notifier_1  | ---- Mailsac Notifier Startup ----
notifier_1  |  
mongo_1     | 2018-03-11T23:20:13.328+0000 I CONTROL  [initandlisten] db version v3.6.2
relay_1     | verifyKeys failed Skipping default domain DKIM verificiation due to missing private key file
notifier_1  | Connecting to db at mongo:27017
mongo_1     | 2018-03-11T23:20:13.328+0000 I CONTROL  [initandlisten] git version: 489d177dbd0f0420a8ca04d39fd78d0a2c539420
mongo_1     | 2018-03-11T23:20:13.329+0000 I CONTROL  [initandlisten] OpenSSL version: LibreSSL 2.6.3
frontend_1  | No YAML parser loaded.  Suggest adding js-yaml dependency to your package.json file.
relay_1     | mailsac relay server listening on port 3007
mongo_1     | 2018-03-11T23:20:13.329+0000 I CONTROL  [initandlisten] allocator: system
filer_1     | syslog connected:127.0.0.1:514
pop3_1      | syslog connected: 127.0.0.1:514
mongo_1     | 2018-03-11T23:20:13.330+0000 I CONTROL  [initandlisten] modules: none
filer_1     | 
filer_1     | ---- Mailsac Filer Startup ----
filer_1     |  
outbound_1  | syslog connected:127.0.0.1:514
mongo_1     | 2018-03-11T23:20:13.330+0000 I CONTROL  [initandlisten] build environment:
mongo_1     | 2018-03-11T23:20:13.330+0000 I CONTROL  [initandlisten]     distarch: x86_64
pop3_1      | ---- Mailsac POP3 Server and HTTP Server Startup 0.0.0.0 ----
pop3_1      | mailsac base api is http://frontend:3000
pop3_1      | Started pop3 server on port 1100
inbound_1   | syslog connected:127.0.0.1:514
pop3_1      | starting metrics listening at 0.0.0.0:9090/metrics
mongo_1     | 2018-03-11T23:20:13.330+0000 I CONTROL  [initandlisten]     target_arch: x86_64
filer_1     | Starting up server 0.0.0.0:3005 using TLS=%!b(bool=false)  
outbound_1  | ---- Starting Mailsac Outbound SMTP Server 0.0.0.0:587 ----
inbound_1   | Starting server on port 587
filer_1     | will register availability as filer:3005
pop3_1      | 2018/03/11 23:20:16 Server listening on: 0.0.0.0:1100
mongo_1     | 2018-03-11T23:20:13.331+0000 I CONTROL  [initandlisten] options: { net: { bindIp: "0.0.0.0" } }
inbound_1   | Starting server on port 25
filer_1     | base data folder is /data/mailsac
filer_1     | cleanup start folder=/data/mailsac
mongo_1     | 2018-03-11T23:20:13.337+0000 I -        [initandlisten] Detected data files in /data/db created by the 'wiredTiger' storage engine, so setting the active storage engine to 'wiredTiger'.
filer_1     | cleanup found folder empty - done
mongo_1     | 2018-03-11T23:20:13.351+0000 I STORAGE  [initandlisten] wiredtiger_open config: create,cache_size=487M,session_max=20000,eviction=(threads_min=4,threads_max=4),config_base=false,statistics=(fast),log=(enabled=true,archive=true,path=journal,compressor=snappy),file_manager=(close_idle_time=100000),statistics_log=(wait=0),verbose=(recovery_progress),
filer_1     | failed constructing registration!! http://frontend:3000/api/fileserver-registration/filer%3A3005 Get http://frontend:3000/api/fileserver-registration/filer%3A3005: dial tcp 172.18.0.5:3000: connect: connection refused
mongo_1     | 2018-03-11T23:20:14.427+0000 I STORAGE  [initandlisten] WiredTiger message [1520810414:427265][1:0x7fbefc2d9730], txn-recover: Main recovery loop: starting at 17/5248
mongo_1     | 2018-03-11T23:20:15.204+0000 I STORAGE  [initandlisten] WiredTiger message [1520810415:204706][1:0x7fbefc2d9730], txn-recover: Recovering log 17 through 18
mongo_1     | 2018-03-11T23:20:16.173+0000 I STORAGE  [initandlisten] WiredTiger message [1520810416:172793][1:0x7fbefc2d9730], txn-recover: Recovering log 18 through 18
mongo_1     | 2018-03-11T23:20:16.480+0000 I CONTROL  [initandlisten] 
mongo_1     | 2018-03-11T23:20:16.481+0000 I CONTROL  [initandlisten] ** WARNING: Access control is not enabled for the database.
mongo_1     | 2018-03-11T23:20:16.481+0000 I CONTROL  [initandlisten] **          Read and write access to data and configuration is unrestricted.
mongo_1     | 2018-03-11T23:20:16.481+0000 I CONTROL  [initandlisten] 
mongo_1     | 2018-03-11T23:20:16.567+0000 I FTDC     [initandlisten] Initializing full-time diagnostic data capture with directory '/data/db/diagnostic.data'
mongo_1     | 2018-03-11T23:20:16.568+0000 I NETWORK  [initandlisten] waiting for connections on port 27017
mongo_1     | 2018-03-11T23:20:17.005+0000 I NETWORK  [listener] connection accepted from 172.18.0.4:50314 #1 (1 connection now open)
notifier_1  | Connected to db
notifier_1  | Starting up server 0.0.0.0:8080  using TLS= false  
frontend_1  | 
frontend_1  | ------ Mailsac ------
frontend_1  | 
frontend_1  | connecting to mongo
frontend_1  | started message disk cache
mongo_1     | 2018-03-11T23:20:17.398+0000 I NETWORK  [listener] connection accepted from 172.18.0.5:37510 #2 (2 connections now open)
mongo_1     | 2018-03-11T23:20:17.399+0000 I NETWORK  [listener] connection accepted from 172.18.0.5:37512 #3 (3 connections now open)
mongo_1     | 2018-03-11T23:20:17.407+0000 I NETWORK  [conn2] received client metadata from 172.18.0.5:37510 conn: { driver: { name: "nodejs", version: "2.2.35" }, os: { type: "Linux", name: "linux", architecture: "x64", version: "4.9.60-linuxkit-aufs" }, platform: "Node.js v8.9.4, LE, mongodb-core: 2.1.19" }
mongo_1     | 2018-03-11T23:20:17.408+0000 I NETWORK  [conn3] received client metadata from 172.18.0.5:37512 conn: { driver: { name: "nodejs", version: "2.2.35" }, os: { type: "Linux", name: "linux", architecture: "x64", version: "4.9.60-linuxkit-aufs" }, platform: "Node.js v8.9.4, LE, mongodb-core: 2.1.19" }
frontend_1  | connected to mongo
frontend_1  | starting app server on port 3000
frontend_1  | server listening 3000
mongo_1     | 2018-03-11T23:20:17.444+0000 I NETWORK  [listener] connection accepted from 172.18.0.5:37514 #4 (4 connections now open)
mongo_1     | 2018-03-11T23:20:17.449+0000 I NETWORK  [listener] connection accepted from 172.18.0.5:37516 #5 (5 connections now open)
mongo_1     | 2018-03-11T23:20:17.452+0000 I NETWORK  [listener] connection accepted from 172.18.0.5:37518 #6 (6 connections now open)
mongo_1     | 2018-03-11T23:20:17.455+0000 I NETWORK  [listener] connection accepted from 172.18.0.5:37520 #7 (7 connections now open)

The original Ansible based server deployment scripts are still included. After a few requests for Docker, it was decided to make it easier for prem customers to run themselves. Both Docker and non-Docker Ansible deployments will be supported for the foreseeable future.

Parsed Links on Messages API

Message metadata will now include pre-parsed links. This enhancement should make automation even easier.

 

For example, say you want to test email signup confirmations on your website. Normally you would need to request the inbox for the test inbox:

GET /api/addresses/[email protected]/messages
[{
  _id: 'y39sak29gaer-0',
  subject: 'Confirm your email address',
  from: [{ address: '[email protected]' }],
  to: [{ address: '[email protected]' }]
  // more fields
}]

then download the full email or body:

GET /api/dirty/[email protected]/y39sak29gaer-0
<div>
  <a href="https://www.sampleservice.com/email-confirmation/39349234">Confirm your email!</a>
</div>

then parse the contents and search for the link.

Now the message metadata from the first request will also include a links array of strings:

GET /api/addresses/[email protected]/messages
[{
  _id: 'y39sak29gaer-0',
  subject: 'Confirm your email address',
  from: [{ address: '[email protected]' }],
  to: [{ address: '[email protected]' }]
  links: ['https://www.sampleservice.com/email-confirmation/39349234']
}]

This feature should save you a roundtrip to the API and let you not worry about properly parsing HTML links.

 

API Reference

 

Faster response times on message routes

A LRU caching layer, active on each API, was added recently. Since email contents are stored separately from the database and every other microservice, many API requests will get faster. We expect faster response times for recently received messages, messages that are requested repeatedly, and any API request where the message is re-parsed in-flight.

Mailsac stores metadata about every message in MongoDB. In the interest of saving disk and RAM, the full email contents are stored across file servers. When a piece of the email is requested via the API, the full file is fetched and parsed into the desired format. Believe it or not, for Mailsac, CPU is far less resource constrained than disk and RAM, so this trade-off makes sense.

For example, when the email headers are requested, the API begins fetching the full message from the file server, parses the SMTP package, formats the headers, and sends them to the client. Fetching attachments is similar – when an attachment is requested, the API gets the original email from the file server where it is stored, extracts the attachment, and transfers it to the client.

This process involves a lot of disk IO and network latency. With the LRU cache, we seeing 80 ms – 600 ms faster requests, and the cache is used on about 45% of requests that re-parse the email.

Enhanced Outbound Sending API

Until now, all transactional messages sent through the Mailsac API only allowed text. With the latest release, the API supports HTML and attachments. Additionally supported is sending an entire raw SMTP message over the REST API.

New Transactional Email Fields

 

HTML

You can provide full HTML in the html field when doing a POST /api/outgoing-messages. This was not possible in previous versions of the API.

Attachments

Attachments can be sent and linked into the html by including an array of attachment objects in the attachments field.

Example Inline Attachment
{
  "contentDisposition": "attachment",
  "content": "3asfji32gia...93as==",
  "encoding": "base64",
  "filename": "2561a.jpg",
}
Example Attached File
{
  "cid": "[email protected].",
  "contentDisposition": "inline; filename=2561a.jpg",
  "content": "3asfji32gia...93as==",
  "encoding": "base64",
  "filename": "2561a.jpg",
}

Received Headers

Persisting received headers is now possible – send a single string or array of received headers. This allows you to receive SMTP in your application, pre-parse it, and pass along received information.

Raw SMTP over HTTP

 

If you want to test SMTP parsing or have an application that generates raw SMTP messages, put the entire SMTP contents into the raw field when doing a POST /api/outgoing-messages.

Mailsac will parse the headers, text, HTML, and attachments, then deliver it for you.

All other fields will be ignored when you send a raw message.

 

 

Read the API docs for sending transactional emails over HTTP