1. They provide a service to people around the world, yet they don't ensure that someone is available as an emergency contact on Sunday evening, when the first post-deployment usage happens.

2. They don't have a universal list of "this breaks, contact that guy".

3. They don't have a known instant rollback procedure for a release.

4. They don't have cross-component integration tests and they don't do them manually either.

5. They decide that since they can't do a release that doesn't break stuff and can't organise themselves to resolve it quickly during the weekend when it affects only a small number of people, they'll do releases in the middle of the day now, so that they hear customers complaining right away.

Is that for real? Is he serious? Here's what I would get out of that issue (even if it's basically reiterating the "wrong" things above):

They need to do more integration testing before a release. They need to know who to contact and have to make sure the person is on call and ready for action. The person handling the issue needs to have a simple, quick way to reverse the release without manual intervention (tweaking the code). Again, this specific issue should get regression tests right away. And the most important thing - NEVER treat your customers as a test suite.

Of course I'm aware not everyone can afford operating like that. But at least this could be their goal. "Let's make breakage affect more people, so we know about it earlier and when we're at work" is a really silly conclusion.

You have large numbers of paying customers to whom you're delivering a mission-critical system (source control isn't exactly optional), and your releases involve neither automated production monitoring/continuous deployment nor formal release procedures?

I think your problem is more than just weekend deployments!

My full comments here: http://swombat.com/2011/3/8/fog-creek-dont-do-cowboy-deploym...

Golden rule, Never launch on a Friday.

Personally i've found it easy to persuade clients to do this once you say it'll cost an extra ten grand just for the privilege of a friday launch.

One which has saved my bacon numerous times is investing a few hours into tweaking monitoring and alert systems. I hear PagerDuty exists to help with this. I use a bunch of scripts and bubblegum, and even that caught 10 of the last 12 big problems. Queuing systems dying has hosed me many times over the years, for example, and a borked deploy which causes that would have my phone ringing before I got my laptop closed.

- No deployment on Weekend

- No deployment on Friday

- No deployment after 4pm on Monday to Thursday

- Deployment is rolled out in stage: one server, 5%, 10%, 50%, 100% of servers.

- Rollback steps must be accompanied with deployment steps.

- Verification steps must be specified in the deployment ticket. Verification is done by QA or OPS, other than Dev.

- Common deployment and rollback steps are automated.

- Emergency deployment is an exception to the above but must take extra precaution to babysit the deployment process.

Stress level has gone down a lot and problems are resolved much faster once we have the above.

I've tried convincing many companies I've worked for that weekend deployments are a bad idea over the years.

Even with continuous integration tests, rolling deployments, and all the precautions in the world things can still happen.

You need live people available to handle a deployment.

Personally, I don't like working on weekends. I've worked for companies that refused to believe that this was a bad idea. I learned pretty fast that life is too short to work on a weekend.

If something does go wrong, it's better to have people on hand to correct the error and get back on track. It's much easier to schedule those people during the work week. It's not rocket science.

And best of all, Friday people are generally happy (it is last day of the week), respectively on Monday expect grumpy users.

When I began in my current role (managing QA/DBAs and app deploys) one of the first things I killed was the late Friday/weekend deploys. They are spirit-crushing and if they go south, they usually go south in a terminal-velocity nose dive.

We set up early Fridays for maintenance, to give us enough time in case something goes south. Aggressive Change Control Requests means the people impacted get a heads up (including Account Managers, who in turn inform clients) if there are any user-facing impacts, and we avoid trying to pack too much in at once.

Having QA, Engineering and the SOC team on hand is...helpful. Maybe its paranoid, but its been very solid so far. When things have gone south, I think the events -since everyone is "on deck" have actually helped build some cameraderie in the teams themselves.

The deployments that do not require DB changes are easy -- mirror the prod box(non db) onto a smaller box, , deploy upgrades/updates to prod box . If things go wrong, put mirror box online with a DNS/proxy configuration while apologizing to your customer who complain about slower performance .

When DB changes are involved , you need to have your DBAs do a dry run of backing out changes-- after all practice makes perfect. Communicate scheduled outage to customers, backup db . Mirror your production box. Roll put update -- if things go wrong, restore DB and bring the mirror box online.

I have always focused on DB aspect more -- loss of integrity of data can cause customers to look for your replacement.

But I am not sure if weekly upgrades of production environment with paying customers is advisable .

We deploy new versions side by side and then then the webserver points at the new application on restart.

Only time it takes any longer is when there are sweeping database changes(schedule the downtime, inspect snapshots incase of issues, etc.)

But no matter what systems you have in place or how many hundreds of deploys you've done, there's always a new way for things to break.

Blindly ignoring errors is a recipe for failure. You should always look at situation like that asking "how can we monitor this weak point?" Logging plus a service like Splunk work great.

Should always have a solid on call rotation. We have two rotations, and ops one which is first line, and dev in case deeper code changes or more eyes on it are needed.

Here is the old release process:

1. Monday morning, the version to be used for the next release is automatically built for the QA team, who begins running their test suites on it and doing soft checks.

2. By no later than Wednesday, the new version is leaked to testing an alpha accounts on Fog Creek On Demand. Tests are re-run at this point.

3. The leak is increased later in the week if the QA results look good, or the weekend release is canceled, depending on how testing goes.

4. Provided everything has been good, on Saturday night, the leak is increased to 100% of customers. This step does not have a full QA rundown, because the code has already been vetted several times by QA at this point. The sanity checks are truly sanity checks.

5. At the same time, we monitor that our monitoring system (Nagios) agrees that all accounts are online and that there are no major problems, such as massive CPU spikes.

So far, so good. The issue with this release is we had a bug that did not manifest for awhile, because Kiln had been deliberately designed to ignore the failure condition "as long as possible", which ended up just being too damn long. Once we started having failures, we noticed--that's why our sysadmin called us in--but those failures started happening 20 hours after the 100% release, and several days after testing and alpha accounts were upgraded.

I am not arguing our system is perfect, but I'm a nonplussed where the your-deployment-system-totally-sucks stuff is coming from. I'll ask our build manager to post an even more detailed rundown.

Back to the deploy process, nine minutes have elapsed and a commit has been greenlit for the website. The programmer runs the imvu_push script. The code is rsync’d out to the hundreds of machines in our cluster. Load average, cpu usage, php errors and dies and more are sampled by the push script, as a basis line. A symlink is switched on a small subset of the machines throwing the code live to its first few customers. A minute later the push script again samples data across the cluster and if there has been a statistically significant regression then the revision is automatically rolled back. If not, then it gets pushed to 100% of the cluster and monitored in the same way for another five minutes. The code is now live and fully pushed. This whole process is simple enough that it’s implemented by a handfull of shell scripts.

http://timothyfitz.wordpress.com/2009/02/10/continuous-deplo...

btw, props to Fog Creek and OP for airing their dirty laundry. They take some heat, but in the end we all learn from it.

I've seen all of Fog Creek's automated production monitoring courtesy of their sysadmins and devs as it was months ago, and it was very solid. I'm sure it's only gotten better.

This is a case of a specific deployment failure slipping through the cracks and being honestly explained, apologized for, and rectified. I'm obviously biased due to my history (and probably-justified guilt for this particular failure), but shotgun criticism about formal release procedures is very misguided.

2. Full-on, properly managed releases like they do in large IT corporations, such as banks, where a "release" is not something you kick off from home via SSH on a Saturday night, but a properly planned effort that involves critical members of the dev team as well as the QA team being present and ready to both test the production system thoroughly and fix any issues that may occur.

What you describe in #2 here sounds like a complete anti-pattern when compared with the idea of continuous deployment and automated verification. This 2nd approach sounds like a huge manual effort.

But I still find their lack of monitors... disturbing.

[1] http://status.fogcreek.com/2011/03/sunday-night-kiln-outage-...

During the day is usually preferred and never at 4:59PM on a Friday or right before everyone goes to lunch (ever had to clean up a downed cluster when some jerk pushed bad code and the whole team went to Sweet Tomatoes? yeah).

To help troubleshoot breaks, have a mailing list with changelogs showing who made a change, time/date, files touched. Also have your deploy tools mail it when there's a code push, rollback, server restart, etc. Have a simple tool someone can run to revert changes back to a time of day so if something breaks just "revert back to 6 hours ago" and debug while your old app is running (nice to take one broken box offline first to test on).