Release Management to different environments (Dev/QA/Integration/Stable) - deployment

I recently joined a company as Release Engineer where a large number of development teams develop numerous services, applications, web-apps in various languages with various inter-dependencies among them.
I am trying to find a way to simplify and preferably automate releases. Currently the release team is doing the following to "release" the software:
CURRENT PROCESS OF RELEASE
Diff the latest revision from SCM between QA and INTEGRATION branches.
Manually copy/paste "relevant" changes between those branches.
Copy the latest binaries to the right location (this is automated using a .cmd script).
Restart any services
MY QUESTION
I am hoping to avoid steps 1. and 2. altogether (obviously), but am running into issues where differences between the environments is causing the config files to be different for different environments (e.g. QA vs. INTEGRATION). Here is a sample:
IN THE QA ENVIRONMENT:
<setting name="ServiceUri" serializeAs="String">
<value>https://servicepoint.QA.domain.net/</value>
</setting>
IN THE INTEGRATION ENVIRONMENT:
<setting name="ServiceUri" serializeAs="String">
<value>https://servicepoint.integration.domain.net/</value>
</setting>
If you look closely then the only difference between the two <setting> tags above is the URL in the <value> tag. This is because the QA and INTEGRATION environments are in different data-centers and are ever so slightly not in sync (with them growing apart as development gets faster/better/stronger). Changes such as this where the URL/endpoint is different are TO BE IGNORED during "release" (i.e. these are not "relevant" changes to merge from QA to INTEGRATION).
Even in a regular release (about once a week) I have to deal with a dozen config files changes that have to released from QA to integration and I have to manually go through each config file and copy/paste non URL-related changes between the files. I can't simply take an entire package that the CI tool spits out from QA (or after QA), since the URL/endpoints are different.
Since there are multiple programming languages in use, the config file example above could be C#, C++ or Java. So am hoping any solution would be language agnostic.
SUMMARY OF ENVIRONMENTS/PROGRAMMING LANGUAGES/OS/ETC.
Multiple programming languages - C#, C++, Java, Ruby. Management is aware of this as one of the problems, since Release team is has to be king-of-all-trades and is addressing this.
Multiple OS - Windows 2003/2008/2012, CentOS, Red Hat, HP-UX. Management is addressing this too - starting to consolidate and limit to Windows 2012 and CentOS.
SCM - Perforce, TFS. Management is trying to move everyone to a single tool (likely TFS)
CI is being advocated, though not mandatory - Management is pushing change through but is taking time.
I have given example of QA and INTEGRATION, but in reality there is QA (managed by developers+testers), INTEGRATION (managed by my team), STABLE (releases to STABLE by my team but supported by Production Ops), PRODUCTION (supported by Production Ops). These are the official environments - others are currently unofficial, but devs or test teams have a few more. I would eventually want to start standardizing/consolidating these unofficial envs too, since devs+tests should not have to worry about doing this kind of stuff.
There is a lot of work being done to standardize how the binaries are being deployed using tools like DeployIT (http://www.xebialabs.com/products) which may provide some way to simplify these config changes.
The devs teams are agile and release often, but that just means more work diffing config files.
SOLUTIONS SUGGESTED BY TEAM MEMBERS:
Current mind-set is to use a LoadBalancer and standardize names across different environments, but I am not sure if "a process" such as this is the right solution. There must be a better way that can start with how devs write configs to how release environments meet dependencies.
Alternatively some team members are working on install-scripts (InstallShield / MSI) to automate find/replace or URLs/enpoints between envs. I am hoping this is not the solution, but it is doable.
If I have missed anything or should provide more information, please let me know.
Thanks
[Update]
References:
Managing complex Web.Config files between deployment environments - C# web.config specific, though a very good start.
http://www.hanselman.com/blog/ManagingMultipleConfigurationFileEnvironmentsWithPreBuildEvents.aspx - OK, though as a first look, this seems rather rudimentary, that may break easily.

Generally the problem isn't too difficult - you need branches for each of the environments and CI build setup for them. So a merge to the QA branch would trigger a build of that code and a custom deployment to QA. Simple.
Now managing multiple config files isn;t quite so easy (unless you have 1 for each environment, in which case you just call them Int.config, QA.config etc, store them all in the SCM, and pick the appropriate one to use in each branch's deployment script - eg, when the build for QA runs, it picks qa.config and copies it to the correct location and renames it to the correct name)(incidentally, this is the approach I tend to use as its very simple).
If you have multiple configs you need to use, then its always going to be a manual process - but you can help yourself by copying all the relevant configs to a build staging area that an admin will use to perform the deployment. Its a good first step in that the build they have in a staging directory will be the correct one for them, they just have to choose which config to use either during (eg as an option in the installer) or by manually copying the appropriate config over.
I would not try to manage some automated way of taking a single config file in source control and re-writing it with different data in the build, or pre-deploy steps. That way lies madness, and a lot of continual hassle trying to maintain the data and the tooling. Keep separate configs in place and make sure the devs know to update all of them when they make a change. (Or, you can hold 1 config in the SCM tree and make sure they know that merging their changes must not overwrite any existing modifications - multiple configs is easier)

I agree with #gbjbaanb. Have one config for each environment. Get your developers to write apps that read their properties (including their URLs) from config files and commit config files for each environment. Not only does this help you with deployment, but config files under revision control provides reproducibility, full transparency, and an audit trail of your environment specific settings.
Personally, I prefer to create a single deployable package that works on any environment by including all of the environment configs (even the ones you aren't using). You can then have some deployment automation that figures out which config files the apps should use and sets that up appropriately.

Thanks to #gman and #gbjbaanb for the the answers (https://stackoverflow.com/a/16310735/143189, https://stackoverflow.com/a/16246598/143189), but I felt that they didn't help me solve the underlying problem that I am facing, and restating just to make clear.
The code seems very aware of the environment in which they run. How to write environment-agnostic code?
The suggestions in the answers above are to store 1 config file for each environment (environment-config). This is possible, but any addition/deletion/edit of non-environment settings will have to be ported over to each environment-config.
After some study, I wonder if the following would work better?
Keep the config file's structure consistent/standardized e.g. XML. Try to keep the environment-specific endpoints in this config-file but store them in a way that allows easy access to the specific individual nodes/settings (e.g. using XPath).
When deploying to a specific environment, then your deployment tool should be able to parse (e.g. using XPath) and update the environment-specific endpoint to the value for the specific environment to which you are deploying.
The above is not a unique idea. There are some existing implementations that tackle the above solution already:
http://www.iis.net/learn/develop/windows-web-application-gallery/reference-for-the-web-application-package & http://www.iis.net/learn/publish/using-web-deploy/web-deploy-parameterization (WebDeploy)
http://docs.xebialabs.com/releases/3.9/deployit/packagingmanual.html#using-placeholders-in-ci-properties (DeployIt)
Home-spun solutions using XPath find and replace.
In short, while there are programming-language-specific solutions, and programming-language-agnostic solutions, I guess the big downfall is that Release Management needs to be considered during development too, else it will cause deployment headaches - I don't like that, since it sounds like "development should be aware of what tests will be designed". Is there a need AND a way to avoid this, is the big questions.

I'm working through the process of creating a "deployment pipeline" for a web application at the moment and am sifting my way through similar problems. Your environment sounds more complicated than ours, but I've got some thoughts.
First, read this book, I'm 2/3 the way through it and it's answering every question I ever had about software delivery, and many that I never thought to ask: http://www.amazon.com/Continuous-Delivery-Deployment-Automation-Addison-Wesley/dp/0321601912/ref=sr_1_1?s=books&ie=UTF8&qid=1371099379&sr=1-1
Version Control Systems are your best friend. Absolutely everything required to build a deployable package should be retrievable from your VCS.
Use a Continuous Integration server, we use TeamCity and are pretty happy with it so far.
The CI server builds packages that are totally agnostic to the eventual target environment. We still have a lot of code that "knows" about the target environments, which of course means that if we add a new environment, we have to modify all such code to make sure it will cope and then re-test it to make sure we didn't break anything in the process. I now see that this is error-prone and completely avoidable.
Tools like Visual Studio support config file transformation, which we looked at briefly but quickly realized that it depends on environment-specific config files being prepared with the code, by the developers in order to be added to the package. Instead, break out any settings that are specific to a particular environment into their own config mechanism (e.g. another xml file) and have your deployment tool apply this to the package as it deploys. Keep these files in VCS, but use a separate repository so that revisions to config don't trigger new builds and cause the build number to get falsely inflated.
This way, your environment-specific config files only contain things that change on a per-environment basis, and only if that environment needs something different to the default. Contrary to #gbjbaanb's recommendation, we are planning to do whatever is necessary to keep the package "pure" and the environment-specific config separate, even if it requires custom scripting etc. so I guess we're heading down the path of madness. :-)
For us, Powershell, XML and Web Deploy parameterization will be instrumental.
I'm also planning to be quite aggressive about refactoring the config files so that the same information isn't repeated several times in various places.
Good luck!

Related

How to properly manage .env files in a microservices architecture

I have been working for some time on a project with a microservices architecture where each service has its own environment variables which are handled with a .env file for each service/repository.
A great part of these variables are related to other services IPs and external resources keys which are different in each environment: Development, Staging, and Production so the .env is not a simple one.
Our development pace is fast and most of the time these variables change with new features and or changes implemented by teammates working on issues related to that service. This causes that almost every time others want to work with a service they get blocked and have to update the .env file before. Therefore we end up requesting and sharing .env files with each other all the time and there is a lack of a "Source of truth" for all the .env files.
I was wondering if someone else has had this problem or a similar one before and what approaches has followed to solve it or improve it.
Is there any application or framework for sharing and managing .env files in a team in an automated way?
Thanks in advance!
EDIT
Just to be clear, these are not being added to source control and they are properly handled on CI/CD.
I was talking more about local development, setting up services locally, and keeping the .env local files up to date in an easy way.
As a summary of all the feedback provided by some coworkers and the community in both: r/SoftwareEngineering and r/softwaredevelopment (Thank you all for it) some of the most useful resources are:
This post about Common Anti-Patterns when Managing Passwords and Application Secrets: https://blog.envkey.com/managing-passwords-and-secrets-common-anti-patterns-2d5d2ab8e8ca
This one with Secure Strategies For Managing Passwords, API Keys, and Other Secrets. https://blog.envkey.com/secure-strategies-for-managing-passwords-api-keys-and-other-secrets-4cc3b2758c02
This application to share API keys with your team self-hosting and managing them. https://envault.dev/
And I want to quote what u/nickthemagicman commented which I think is an important point to take in mind:
But due to the fact that ya'll are still using .env files for this long and it's been this chaotic and no one has fixed this by now, it sounds like your biggest hurdle is going to be to get the team buy in, since it sounds like there's no centralized management either.
Not sure what stack you're using but we're solving this with Infisical.
It provides a source of truth for your environment variables and supports different environments (development, staging, and production). Your team can either automatically inject those variables into your local process or manually pull back environment variables to update your .env file — whichever you're comfortable with most; it's end-to-end encrypted.
We ran into the same issues you're outlining and are finally solving them.

VSTS + Octopus Deploy? Why do I see a lot of CI/CD setups with both?

I'm a developer whose transitioning into Devops. By observation, I've noticed that a lot of dev shops have started using Octopus Deploy and Azure Devops Services (AzDo, formerly VSTS), or they are starting new projects to setup devops ci/cd pipelines AND they spec to use both tools.
I've been through some quick training for both tools and though they aren't perfectly the same, AzDo seems to offer all of the same features as Octopus Deploy.
So, my question is if a company is already using AzDo for much of their version control, or anything CI/CD pipeline-related, why would you use Octopus? What benefit does it offer to use Octopus for your build and deploys to AzDo?
Note, I am very, very new to Devops. I'm just asking because at the "10,000 feet view" there doesn't seem to be any reason for Octopus if you're already using AzDo. I mention Octopus Deploy by name because I see it come up frequently. However, I assume there could be other tools that serve the same purpose of automatic build and deploying that might also integrate with AzDo. However, AzDo offers build and deploy built in one. Why split out the work?
Let me preface why I like to both build and deploy with VSTS:
Same permissioning end to end
Line of sight from end to end build and deployment
Reasons I favor Octopus Deploy over VSTS Release:
Ability to upload packages/artifacts
External ones that are maybe one off packages to get deployed for a specific release
Target Definition
When you create Targets or servers you are deploying to, you are able to add a target to one or multiple environments and assign tags/roles to a target. What does this mean? More flexible server definition rather than defining strict Agents to a pool or servers to a Deployment Group, you can allow a target to span multiple (ie: a testing server that spans your Dev and Test environments and only gets triggered on steps that are defined for that role). I realize you can accomplish similar things to this in VSTS but in my opinion it's far more cumbersome.
Variable Definition
Variables can be grouped at a global level and grouped by a specific pipeline/process (that part is similar to VSTS). Variables can also be grouped or scoped by environments or roles (above) so you are able to have different variable values per role per environment; both super granular and flexible. Places this comes in handy is if you have a backend server with a connection string and maybe 2 content delivery nodes (role - content delivery) that get slightly different values than the backend server. At the moment, I do not know (other than creating new environments) how one would accomplish the same in VSTS.
Process Definition
All of the above comes together in the process definition of Octopus Deploy. The super flexible and granular variables and target definition allows you to focus on the actual deployment process rather than getting hung up on the nuances of the UI and its limitations. One example would be defining a process where the first step would be taking something out of a load balancer from a central server, step two deploy code to delivery server one, step three put back in lb, step 4 take out node two from lb called from a central server, step 5 deploy code to node two, and last step, back into load balancer. I realize it's a very simple hypothetical, but within Octopus Deploy, it's one steady process filtered to execute on specific roles, within VSTS you would have to break that down into different agent phases and probably pipelines.
Above are really the biggest points I see to use Octopus Deploy over VSTS Release. Now why would someone use VSTS to build and OD to release/deploy? There are a lot of different factors that go into it, some are corporate drivers like having an enterprise git client that has permissions handled thru MSDN. Sometimes it's a project management driver of having work items tied tightly to commit and builds, but with the added flexibility that OD brings to the table for free/minimal cost.
Hoping this help shine a little light into maybe why some people are crossing streams and using both VSTS and OD.
A lot of good points have been made already, but it really comes down to what you need. I would venture a lot of us started using Octopus before Release Management was really a thing.
We use VSTS for all our source control and builds and then all our deployments are handled through Octopus.
When we started evaluating tools, VSTS had nothing for deployments. Even now, they are still playing catch up to Octopus in feature set.
If you are doing true multi-tenanted and multi-environment deployments, I don't think VSTS really compares. We are using Octopus with around 30 tenants, some on Azure, some on premise. We deploy a mix of web and desktop apps. We are even using Octopus to deploy some legacy VB6 and winforms applications.
Multi-Tenancy (critical for us)
VSTS added Deployment Groups a while ago which sound pretty similar to Octopus Environments before multi-tenancy was implemented. Before Octopus had true multi-tenancy (it's been around a while now), people would work around it by creating different environments per tenant, like "CustomerA - Dev", "CustomerA - Prod", etc. Now you just have your Dev/Test/Prod environments and each tenant can have variables scoped to those individual environments.
Support
Documentation is excellent and it's really easy to get up and running.
The few times I've needed to contact someone at Octopus, they've answered very quickly and knowledgeably.
Usability
Having the Octopus dashboard giving us an overview of all our projects is amazing. I don't know of anyway to do this in VSTS, without going into each individual project.
Octopus works great on a mobile device for checking deployment status and even starting new deployments.
Community
Octopus works with their customers to understand what they want and they often release draft RFCs and have several times completely changed course based on customer feedback.
If we know what sort of applications you are deploying, and to what kinds of environments, we would be able to better tailor our responses.
The features you see today in VSTS weren't there a few years ago, so there might be an historical reason.
But I want to state here some non-opinionated reasons that may suggest an organization to opt for different tools instead of one.
Separate responsibility and access levels
Multiple CI tools in dev teams (orgs that are using also Jenkins or TeamCity or else) and need to standardize and control deployments
An org needs a feature available only in Octopus (maybe Multi-tenancy)
Octopus does a great job of focusing on deployments. Features reach octopus before vsts, support is local and responsive. That, and you never run out of build/release minutes!
Seriously though, I just like to support smaller companies where possible and if all features were equal, I'd still pick them.
The big reason in the past was that TFS On prem and early VSTS did NOT support non-Microsoft (.Net) code very well if at all. You could utilize the source control and work features of TFS and then use octopus/Jenkins etc... as the build release parts to cover code that TFS didn't really know what to do with.
Also the release pipelines used to be very simplistic and not that useful where the other products were all plugin based and could do (almost) anything you needed them to. Most of that has changed so that VSTS is much better at working with Non-Microsoft code bases then it used to be. Over time integrations get created inside a companies walls and undoing those decisions can be more painful then just having "too many" tools. Also I feel like there is just more people out there familiar with those tools since they have been mature longer and cover a larger part of the development world then VSTS has in the past.
To fully implement CD you need both. VSTS runs tests and is a build server. OD isn’t. VSTS is light on sophisticated application installations. And if you are provisioning environments, IaC style, you need Terraform in addition. Don’t try to shoehorn everything into a single tool. DevOps requires a whole ecosystem. The reasons are not historical.

How do you keep track of what you have released in production?

Tipically a deploy in production does not involve just a mere source code update (build) but requires a lot of other important tasks like, for example:
Db scripts
Configuration files (differents from test\production)
Batch to schedule
Executables to move to the correct path
Etc. etc.
In our company we just send an email to a "Release email address" describing the tasks in order, which changeset need to be published (TFS), which SP need to be updated, db scripts and so on.
I believe there's not a magic tool that does these tasks automagically in order, rollback included; but probably there's something better than email that helps to keep track of releases in production.
Do you have any tools to suggest or practices to share?
When multiple tasks are required to support a full project deployment (and that's frequently the case, in my experience), I'd suggest using a build/deployment tool. I've used Ant in the past with great success, but know others who swear by Capistrano, Maven and others.
Using Ant, I wrote a script that would:
Pull the specific revision I wanted from my VCS
Create a tarball of the target directory on the remote machine (in case a rollback was required)
Create a MySQL dump file of the database (also for rollback purposes)
Delete the remote directory and SSH the new content just pulled from the VCS
Perform various other logistical operations (setting file perms, ownership, etc.)
Create a release branch on the VCS itself
Create a tag with the appropriate version information so I always had a snapshot of the code base at that moment of deployment.
Hope that helps some. I've written a few blog posts about this that may (or may not) be useful. They're dated now, but the general information should still be solid enough.
Introductory thoughts
Details of how I use Ant for deploying--including scripts
You might be interested in the Team Foundation Build Recipes Website, that showcases some build scripts developed using SDC Tasks Library and the MSBuildTasks library
How about something like SVN? You can put all of your code in a repository, then when you are ready to release from production bring your stuff over from test. Then you'll have very specific revisions with information on what happened. SVN keeps track of all of it.

Managing a dev vs production environment for a web app?

I have finished developing the core of a web application I have been working on. Since I was the only developer I just developed locally (lamp stack) without using version control (probably stupid but anyway..). Now that it is getting close to production ready, I have a couple other developers working with me so I set up a repository for my code.
This is my question: I still want to be able to test any changes locally first before posting to production. How do I manage this with a repository without having to maintain 2 versions of my code (that I have to synch up manually)? For one, the production code has a few differences here in there (such as database constants etc.). I'd like to be able to change my code in my local repository, test it on my local apache server, then check the code directly into production (is this even possible using eclipse)?
I am using eclipse and subversion (php code). I know I asked many questions but hopefully you get the idea of what I am trying to do...and I assume its rather common. Thanks.
In addition to the excellent answers you've gotten already, I'd like to emphasize that if there are differences between your dev and production code, you're adding risk. You should be using the same, well-tested code in both locations; any difference between the environments should be expressed in configuration files. Any configuration files in source control should be samples only; your deployment script should not push new configuration files to production.
This, in combination with tagged releases and a staging environment that mimics production, should help you promote your code smoothly to the production environment.
I would suggest a few things
Use tags/branches in SVN. When the code is production ready, tag it with a unique name.
Set up a staging area for integration testing. After a release is tagged for staging, yank it from your vcs and copy it into the staging area. This can be as simple as a different directory tree or a second install of your server.
Put constants into separate files that can copied/merged over into the staging and deployment directories
Test the staged version against dev to insure everything works as it did in your dev environment. I would point staging to production databases when I am sure it is working and ready to be promoted. Test that it also works against prod.
Once everything works in staging, update the production copy. I would suggest you create a clean deployment directory then copy that entire deployment over to the production server after copying/merging config settings.
This was my approach is dealing with perl/cgi many years ago and it worked pretty well. SVN handles tags/branching much better so it should be easier to deal with. We had very few production problems once we started staging the files before pushing to prod.
It sounds like you haven't created any branches or tags, and probably have a "trunk" that isn't labeled as such. Best practices would dictate that you have a trunk for the current stable code, branches that you develop against, and tags that are actually used on the production site. There is a short description and diagram on Wikipedia.
Of course, that's just best practice. Your project sounds small enough that you could get away with splitting your code into a development/ directory and a production/ directory in your code repository. Checkin code to the development directory, and once a change is fully tested, merge it into the production directory.
Whether you do it the right way or the easy way, it's important to do something to separate your development code from your production code. As you add more developers, it will be increasingly unlikely that the development code base is stable because people are checking in code that hasn't been fully tested, isn't complete, whatever. Spending a little extra time on managing two branches of code will save you a lot of headaches later on.

Controlled Integration of Changes with Continuous Integration

I have a NSIS installer that we previously built using nAnt scripts that copy some files around and run makensis.exe via a exec task to build the installer exe. After the nant script completes, I have the compelte structure for our CD and also our download.
I was just doing a get from sourcesafe onto an unused desktop and using it as a build box, compiling there. Sometimes we would have a couple of files checked in that fix something critical. In those cases I would go to the build box, and very selectively get only those files, to avoid getting other changed files that we aren't ready to release yet. Basically I am able to allow development to continue and selectively include certain changed files into the installer for release.
Now we no longer have a free box, and need to build from our server. So I am setting up CI Factory so that the developer can kick the build off without remoting into the server. The one issue I am struggling with, is the best way to continue to allow this selective change control to occur. The default concept of CI that CI Factory implements is fine for internal development "head". However, I also want to setup a CCNet project that is run only on demand via a Force Build for this "public release" type of build.
This is what I've brain stormed so far, without being sure how well this will work, if at all(still figuring out what CCNet and CI Factory are all about). The "public release" CCNet project config/build would be setup such that it would not get latest. Modifications would not trigger a build. Since the other CCNet project that is using the default CI methodology(we'll call it the "CI project") of getting latest when changes are detected, then these two projects can't share the same working directory. So the "public release" would need a different working copy, so that its files won't get updated when the CI project's build is triggered. The developer would need to remote into the server, one VSS, selectively do a get into the "public release"'s working copy, and then force a build through CI Factory.
The disadvantage's I see with this is
1) Having to remote in to selectively do gets.
2) I have no idea how to allow a single CI Factory project to have two different working copies of the Product folder, so that each project configuration block has it's own.
3) I'm afraid of what kind of strangeness this might cause. I'm not quite sure yet how to specify a source control block in CCNet project config block, but prevent it from doing a get latest when it builds. I'm still gradually figuring out what things are in scripts and can be easily taken out without breaking other things, versus what is not meant to be mucked around with and/or is not configurable.
I would really like to hear about how others deal with this issue of selectively releasing changes, if you have a similar situation. I am constrained to VSS, so my immediate need is to solve this with that in mind, but at the same time I'd be interested in hearing how you manage this with other source control systems. I guess you would probably have a branch that is your latest developments branch, and then merge changes into the trunk whenever you want to release them? I really don't trust VSS for branching/merging, and I think the branching concepts might be a little too much overhead and learning curve for this shop. Like I said though, stories with other source control systems would be useful future knowledge for me.
Thanks in advance.
You need a branching structure in your repository to facilitate this. Something like the release branch method. Only select individuals can commit to this branch (or have a release/stable for that). Set up your manual CI launches to pull from the release branch as release nightly promote to milestone or final from there. I don't like the idea of manually modifying things on your build machine. Set up the changes in version control, in a safe place to prepare your release and let CI build from there, but manually triggered.
Check out these branching patterns. I suggested C3, codeline-per-release, often called release branching.
Heres an article on VSS branching that includes a link to merging.
This question looks similar.
Maybe you could move to another source control system with better support for this kind of thing. Any suggestions from MS people out there?