We are developing a complex system using scrum methodology with 1 week sprints and a team of 6 developers.
We continuously update the source code on every developer machine when the changes are tested and integrated on the development branches, and the developers daily integrate the changes to a test common server.
But the production system is critical enough for any issue or downtime to cause much $ lost, and the deployment process is slow, hard and delicate. Even if the system changes are tested and even deployed to a test server, sometimes problems arise when we try to publish the whole week progress as a lot. Thus, we have chose to have a previous deployment process which happens after all the week development is completed and deployed to the test server. We run full feature tests on the whole week changes on the test server, then publish the week work lot to a preproduction server, then sometimes everything goes fine but sometimes some new problems arise on the deployment process or the published changes, then we plan the highly delicate production process and execute it on the next night we can, avoiding any downtime for the customer work.
Now, we are having discussions with the customer since he defends this is not scrum because he isn't gettint the sprint result on the scrum day, but three days later. But obviously we can't start the pre-release and release process until the sprint completes totally - so, next day - and then the system complexity and criticality forces us to secure the deployment process to the top, and the customer production usage requires also some special operation scheduling.
Are we working against the scrum guidelines? Where is the deployment process on the scrum methodology? Is scrum appropiate for this project?
the deployment process is slow, hard and delicate.
When a deployment process is hard, it tends to mean organisations deploy less frequently. If they deploy less often then releases become bigger, more difficult and more critical. This tends to mean that there is even more reluctance to release.
This negative cycle works against Agile as it means organisations struggle to respond to change.
The best thing you can do is try and break out of this cycle by improving the release process. This may be difficult and consume time and resources, but the benefits are significant.
If you can automate your releases then you tend to reduce the risk. With the risk lowered then releasing more frequently becomes possible. Frequent releases means that the size of releases is reduced and you can quickly fix bugs if necessary.
Frequent releases also make the customer happier as they get more opportunities to provide feedback. The more feedback they give, the sooner the product will be what they want.
Perhaps a good place to start would be to automate the releases you currently make to the common test server. Once you have been doing this for a while you should have the confidence to use the same process on production.
Barnaby has the ideal answer. In the meantime, one possibility is to have a repeating story each sprint to release the approved stories from the previous sprint. Per the Scrum Guide, a team only delivers "a potentially releasable Increment of (a) 'Done' product at the end of each Sprint." The key word is "potentially." In addition to the problem you face, I have been in companies that only released once a quarter because that is what the customers wanted. If your customer wants a release every sprint, great, but nothing in the guide requires that to happen in the same sprint the stories are accepted in.
To clarify based on the comment, let's assume a team is using a traditional Dev-Test-Stage-Production architecture. The customer would review the changes in Stage (during the Demonstration Ceremony if not before). Accepted stories go into the release, which moves to Prod as part of the recurring "Release" story in the next sprint.
Closed. This question is opinion-based. It is not currently accepting answers.
Want to improve this question? Update the question so it can be answered with facts and citations by editing this post.
Closed 7 years ago.
Improve this question
I've been considering using Parse.com's service for my backend, but I'm skeptical about its scalability.
Can it really handle several thousand simultaneous users? If not, is their any good way transitioning away from it?
I know the question may be old, but wanted to provide my 2 cents for others out there who may be considering parse....
Under the simplest of scenarios, parse may work well. As soon as you need to scale up to more complex queries, I have personally found nothing but headaches.
Queries are limited to 1000 records. Initially, you may think this is not an issue, until you start dealing with sub queries, and realize weird data is returned because the sub query cuts records off without warning or error. (FYI, the default is 100 records unless you specify a limit up to 1000, so the problem is even worse if you are not paying attention).
For some strange reason there is a limit to the number of times you can issue a count query in a min. (and this limit appears to be really low). Be prepared to try and throttle your code so you don't hit this limit, otherwise errors are thrown.
Background Jobs do not run reliably. I have had a background job set to run every 5 min, and there are times it takes 20+ min before the job will kick in.
Lots of Timeouts. This is the one that gives me the most heartburn.
A. If you have a cloud function that takes a while to process, you have about 6 or 7 seconds to get it done or it will cut you off.
B. I get the feeling that there is a general instability with the system. Periodically, I run into issues which seems to last for about an hour or so where timeouts happen more frequently (and with relatively simple functions that should return immediately).
I fully regret my decision to use parse, and I am doing all I can to keep the app alive long enough for us to get funding, so we can move off the platform. If anyone has any better alternatives to parse, I am all ears.
[Edit: after three amazing years with the team, I've decided to move on and am no longer a Parse or Facebook employee. The team is in great hands and has done amazing things. The entire backend has been rewritten to increase performance and reliability dramatically. The roadmap is amazing, and I expect great things to come from the team. At the time of my departure, Parse powered over 600,000 applications and served a mind boggling number of requests each day. Were each Parse push to be sent to a unique person, they could form the world's fourth largest country in one day. For future help with Parse, please either post questions here with the parse.com tag or post to the parse-developers Google group.]
Full disclosure: I'm a Parse engineer.
Parse already hosts thousands of apps, let alone users. When we exited beta in late march, we announced over 10,000 applications running on Parse with a 40% month-over-month growth rate. Parse is staffed by a world-class team, many with years of experience in big data and high volume traffic.
We welcome your traffic with open arms; you will be in the company of great teams like Band of the Day and Hipmunk. We are so confident in our services that we built our One Click Export system so people like you can try Parse risk free. If you feel Parse does not meet your performance expectations, we will gladly send you off with all of your data intact.
We chose Parse as the backend for our app.
Conclusion: DON'T.
Stability is a disaster, performance is a disaster too, and so is support (probably because they can't really help you because all the issues are non-reproducible).
Running even the simplest of functions can lead to random timeouts inside Parse (I am talking about simple PFUser login calls for instance):
Error: Error Domain=NSURLErrorDomain Code=-1001 "The request timed out." UserInfo=0x17e42480 {NSErrorFailingURLStringKey=https://api.parse.com/2/client_events, NSErrorFailingURLKey=https://api.parse.com/2/client_events, NSLocalizedDescription=The request timed out., NSUnderlyingError=0x17d10e60 "The request timed out."} (Code: 100, Version: 1.2.20)
We encounter timeouts on a daily basis, and this is with an app we are testing with 10 users max!
This is the typical one we get back all the time, at completely arbitrary moments and impossible to reproduce. Calling a Cloud Code function that does a few queries and a few inserts:
{"code":124,"message":"Request timed out"}
Try the same 10 minutes later and it runs in less than a second. Try again 20 minutes later and it takes 30 seconds to execute.
Because there is no transactionality it is really a lot of fun when storing for instance 3 objects in 1 Cloud Code function, where Parse decides to bail out of the function randomly after let's say having saved 2 of the 3 objects. Great to keep your database consistent.
The "best" ones we got where these. Mind you, this is the actual data coming back from a Cloud Code function:
{"code":107,"message":"Received an error with invalid JSON from Parse: <!DOCTYPE html>\n<html>\n<head>\n <title>We're sorry, but something went wrong (500)</title>\n <style type=\"text/css\">\n body { background-color: #fff; color: #666; text-align: center; font-family: arial, sans-serif; }\n div.dialog {\n width: 25em;\n padding: 0 4em;\n margin: 4em auto 0 auto;\n border: 1px solid #ccc;\n border-right-color: #999;\n border-bottom-color: #999;\n }\n h1 { font-size: 100%; color: #f00; line-height: 1.5em; }\n </style>\n</head>\n\n<body>\n <!-- This file lives in public/500.html -->\n <div class=\"dialog\">\n <h1>We're sorry, but something went wrong.</h1>\n <p>We've been notified about this issue and we'll take a look at it shortly.</p>\n </div>\n</body>\n</html>\n"}
The stuff I describe here is not something that happens once in a blue moon in our project. Except for the 500 errors (which I encountered twice in a month) all the others are seen on a daily basis.
So yes, it's very easy to get started with, but you must take into account that you are working on an unstable platform, so make sure you got your retries and exponential backoff systems up and running, because you will need this!
What worries me the most is that I have no idea what would happen once 20.000 people start using my app on this backend.
edit:
Right now I have this when doing a PFUser login:
Error: Error Domain=PF_AFNetworkingErrorDomain Code=-1011 "Expected status code in (200-299), got 502" UserInfo=0x165ec090 {NSLocalizedRecoverySuggestion=<html><body><h1>502 Bad Gateway</h1>
The server returned an invalid or incomplete response.
</body></html>
, PF_AFNetworkingOperationFailingURLResponseErrorKey=<NSHTTPURLResponse: 0x16615c10> { URL: https://api.parse.com/2/get } { status code: 502, headers {
"Cache-Control" = "no-cache";
Connection = "keep-alive";
"Content-Length" = 107;
"Content-Type" = "text/html; charset=utf-8";
Date = "Mon, 08 Sep 2014 13:16:46 GMT";
Server = "nginx/1.6.0";
} }, NSErrorFailingURLKey=https://api.parse.com/2/get, NSLocalizedDescription=Expected status code in (200-299), got 502, PF_AFNetworkingOperationFailingURLRequestErrorKey=<NSMutableURLRequest: 0x166f68b0> { URL: https://api.parse.com/2/get }} (Code: 100, Version: 1.2.20)
Isn't it great?
If you're writing a small/simple app (or a throwaway prototype) with little to no logic on the backend then go for it, but for something larger/scalable it's best to avoid it, I can say that from first hand experience. It all sounds good with their user management, push notifications, abstracted storage and what not but in the end it's not worth the trouble. Namely I was developing the backend for an app on Parse, clients were so much into it because it sounded cool and promising (strong marketing I guess), being bought by Facebook and what not, but a few weeks into production major issues/limitations with the platform started arising, what should be a simple app turned out to be a nightmare to develop and scale.
The result/conclusion of the project:
- broke the time window for a relatively simple app - it should have lasted 2-3 months, it lasted almost a year and still isn't stable/reliable, if we used a custom stack it'd be done inside the time window for sure cause I made a similar demo project in 5-10 days with a custom node stack
- lost the client's trust, they're now remaking the app with another team who'll use a custom stack
- lost loads of cash for breaking the time window and trying to make it work
- did so much overtime cause of it that it started to reflect on my health
- never using some platform/solution that promises to have it all, always going with a custom/tried stack
First were the stability issues and constant failing of the platform like server downtimes and random errors, but they have all that sorted out (that was at the start-mid of 2014), but the following problems remain:
you can't debug your code, at least at the time being (there are ways you could make it work with an additional node server and some obscure lib)
the limits are ridiculous, a scalable platform which can do 50-60 API request per second (or more depending on your subscription), which isn't as low it sounds until you start to do strain testing, and when you hit it your code will constantly fail
API calls are measured like this: calling a server function (Parse job) - 1 call, querying the database - 1 call, another query (cause they don't have some advanced/complex query system in place, if you have a more complex database schema you'll realise very soon what I mean) - 1 call, if you need to get more than 1000 queries guess what - query again, etc., query for count (you need to do it as a separate query) which is unreliable (tends to return an approximation for a few thousand entries)
creating/saving ~1000+ simple objects is a strain on the platform/database, deleting 1000 or more objects, even more so, which is ridiculously fast for normal databases, but on Parse it tends to take 5-10 minutes (if you check it more closely it deletes 20 objects per batch)
no way to use most of the npm packages (only the pure JS ones by including the source directly)
if you go and read Parse forums you'll see users downvoting/roasting the Parse team constantly for the platform's lack of features and needing to jump through hoops for arbitrary logic implementation like fetching random entries and similar stuff
they support Stripe integration, but if you want to use Paypal or some other payment service (we decided to use Paypal cause it has a vastly superior country support over Stripe) you can't make it work on Parse, for Paypal integration I had to use a separate server to pull it off
no easy way to sync users and handle concurrency issues, you have to use hacks and some funny logic you wouldn't use or admit using nowhere never
want 100+, let alone 1000+ simultaneous users, good luck pulling that off
when you want to find out the number of entries in a table, you can hit the limit on calling the count query which it's funny, not documented and totally ridiculous, and in the end returns an approximate number
modularity is foreign to the platform, the functions you call from your jobs can't last more than a couple of seconds (7 seconds I think) and when you take into consideration the query time it's bound to happen a lot with more complex queries and some complex logic
You can have something like Cron jobs but they can't last more than 15 minutes (due to the low performance of the platform like multiple queries that's very, very short), they are limited to 2-3-4 simultaneous jobs depending on your subscription fee, and have a very limited/poor scheduling system in place (e.g. you can't edit it from your code, it's very limited so you have to use hacks to run the same job at 2 exact times during the day or something similar, it can't watch for time savings etc.)
When you get an error on the server it can be totally misleading, check the forums for that, can't remember anything from top of my mind
Push notifications are regularly late as much as 20-30 minutes
An arbitrary example: you want to fetch a random item from their database, your app makes the call to a job that'll provide it (1 API call), the job queries the database, but you have to make 2 calls, first to get the count of the items (1 API call) and then a second one to get a random item (1 API call), this is 3 API calls for that functionality, and with 60 requests per second, 20 users can make that call at a given time before hitting the request limit and the platform going haywire, after you include other users browsing through app screens and stuff, you see where this leads...
If it were any good wouldn't Facebook who bought it every mention using it for even some of their apps? I'd suggest 3 things:
- first - don't listen to the Parse guy, it's his platform so he has to promote it, listen to people who have been using it to make something using it
- second - if you need a serious and scalable platform and don't want to go fully custom, go for Amazon Cloud services or something similar that's tested and reliable
- third - stay away from the platform if you have any server side experience, if you don't then go and hire a backend dev for the project, it will be cheaper and you'll get a working solution in the end
I have spent the day looking into parse.com and here is my current opinion based on what I've found (Please bear in mind that I have only very brief experience of developing with the SDK as yet)..
Parse.com clearly has some very attractive positives which is why I found myself looking into it, but for the sake of debate I will concentrate on being critical as the great positives are all listed on their website. (Well done parse.com for attempting to solve such a great problem!)...
In the testimonials, Hipmunk is the biggest name I would say. It is listed as an app which uses the data portion of the SDK. Without approaching Hipmunk developers, I can't know for sure but I can't imagine them storing ALL their data in the parse.com cloud.
After trying and browsing most of the apps listed. None really stand out as being hugely dependent on a server back-end so I find it impossible to get an idea of whether or not scalability has been solved using parse.com based on these.
The website states 40,000 apps and counting. I feel (but do not know) that based on the app gallery, this figure is based on the amount of apps in their user-base, and not real live production apps in the app-stores. The app gallery would feature far more big names if that many apps were using parse.com.
Parse.com is a very new concept, and very different even to its closest rivals. So without concrete evidence on how scalable and stable (and all the rest) it is, then it is very hard for a developer on a project to consider committing to it as there is too much at stake.
I ran tests for my own answer to similar question and it can be VERY, VERY FAST. However , the results you get may depend on the details of your implementation...
Test compared Android SDK to Android using native HTTP stack making Parse/REST calls...
Test Details:
Test environment - newest Android version on 10 month old phone over fast WIFI connection.
( upload 63 pictures where avg filesize=80K )
test 1 using the android SDK RESULT=Slow performance
test 2 using native REST calls over android RESULT=VERT FAST
--EDIT-- as there is interest here....
Regarding http thruput , the parse SDK(android) and performance, it may be that parse.com has not optimized performance on the way that they implement android asyncTask() in the parse.android SDK? How the work that required 8 min. on parse.sdk could be done in 3 seconds on an optimized REST , DIY framework ( see links for details on implementations), i really do not know. If parse have not fixed their SDK implementation since these comparison tests ran, then you probably dont want their default SDK asnycTask stuff doing anything approaching a real workload on the network.
The great attraction about Parse (and similar SaaS) is that you can save tens of thousands on back-end development costs. Given that the back-end is often the most expensive aspect of a Web app; that head-ache is suddenly poof.
The problem with Parse and most (all) SaaS is that the region, power, memory, bandwidth, scalability, thresholds, alerts and various actions are out of your control.
Same with Shopify. It's a great Saas with comprehensive control over products, orders, inventory, and aesthetics -- but zero control over the machine. So, today's SaaS is not a heck of a lot different than godaddy. They invariably oversell or max-out their machines in order to make money; and you are stuck if you really care about ass-kicking performance. You cannot even buy that level of service.
I would like something AT LEAST as powerful and comprehensive as the AWS console. Most techies know and accept that Heroku and Parse are both hosted on AWS. Who cares. So charge more for the added service, but don't deny access to those critical low-level tools that make a Site and App and the user experience zing. Hint to those Parse employees.
At any rate, in answer to the question:
The Parse API is simple JSON. So you can pump out the data in the same JSON format that a Parse application expects.
You might even be able to utilize their PFObject (iOS). At some point, all that highlevel API goes to a common HTTP request/response. The good thing about REST's generality means common-of-the-shelf; things like http, url, strings, and utf. No funky Orb here.
Parse is great to start with especially helper functions/features about user management. But I started encountering issues ..
Long execution/ping times, 1000 object limit INCLUDING subqueries, no datacenters at europe (as far as I know)
It would've been a divine platform if they could sort performance and stability issues. I somehow regret developing with it, but I put 5000+ lines of code so I'm going to stick with it.
Maybe they should separate their DEV apps and PROD apps environments, and only allow PROD apps after some kind of supervision, or create a different environment with only paying customers?
We are in 2014, $20/month servers can handle unoptimized websites(60 not-cached db queries on homepage) with 1 million visits/month, this shouldn't be that hard come on Parse!
It's ok for prototyping the apps, especially if the iOS/Android developer doesn't know how to build a DB/API backend himself.
It's not ok at all, when it comes to developing an application with a logic that requires queries more complex than:
SELECT * FROM 'db' WHERE 'column' = 'value' LIMIT 100;
Related queries and inner joins do not exist on Parse. And good luck updating/removing 320 000 records if you need (that's the number I'm working with now).
The only thing that is really useful is handling the Users through the SDK. If I could find a good docs or even tutorial how to handle/create users through iOS/Android apps using Django and DRF/Tastypie, I'm instantly converting everything is being developed in our company to use that.
I am writting a django app and Iphone app, I need to keep them in sync.
Users can delete, update and create new objects in the web app, and in the iphone app.
When they get online with the iphone both app must be in sync.
Is there simple way to do this?
Thanks,
Joaquin
In general: There's no simple way. But I'll outline an approach.
If you don't care about changes being overwritten: Keep a timestamp of the most recent change to each record, and a timestamp of each sync. When syncing, you get a list of all updates on the iPhone since the last sync, and all updates on the server. You write from the iPhone to the server if the iPhone timestamp for that record is newer than the server one, and vice versa.
But you probably care. Say you've edited a note called "Where to meet up on Friday." It started out empty. Now, on the phone, you've written, "My house." Ten minutes later, your friend edits the same note on the server and writes, "The diner." Who wins out? Stack Overflow can't answer that for you; it's application-specific.
OK, so modify the approach above: if both the server version of a record and the local version have been edited since the last sync, then you have to ask the user what to do. That's the basic algorithm.
If you care a lot about changes not being overwritten, to the point that you want to merge changes to different places in the same documents, then your system will begin to approach the complexity of version control systems like Subversion or Git. Not at all simple.
There's no built in way to do this. You need to keep a server data store, and a local data store on the iPhone, and when online, check the differences manually, and see what action you should take on the server and the iPhone side (delete, update, etc.).
Sync is usually hard. I suggest you start laying out the server and iPhone data stores, and think how they relate, and how can the server or the iPhone know the status of their counterpart record, so to keep them in sync.
I'm working with 2 very different applications.
App #1 is a web app where I have direct access to the FTP, so fixing bugs is pretty easy. Cat A bugs are usually fixed within the next day. No problems here.
App #2 is an oil business document control app, where we have to go through two acceptancy test phases - end users test and system test. Any bugs discovered after this phase will retain until the next version, usually 2-3 months. Every new release package is a huge cost. It's really hard to explain to the end users that they have to live with some of the bugs until the next version.
How do you relate to critical bugs that can't be fixed immediately?
The faster I fix bugs the more bugs I find I need to fix.
In my personal opinion in your described situation is a very deep structural problem and it should have been dealt with before the project has started. Every programmer should know at least one person to directly push changes if needed and the procedure for this must be clear. Honestly what about security or database problems with potential data loss? I mean of course, if you can't fix it directly inform the staff and tell them to "please don't do this", but honestly the best way is to get this problem out of the world asap. I had a similar case in a terminal application where a program simply quit working after a button was pressed twice. The fix was trivial, but no one was allowed to fix it and it literally cost hours for all the people depending on this thing to run. Demand a shortcut for important changes!
The speed which management allows you to fix a bug is directly related to the cost management will endure until the bug is fixed.
I'm a 1-man team. Nothing stands between me and my bugs :)
It really depends on a combination of the organisation size, system size, importance of the system & impact of the bug eg:
One Man Shop or Low Impact System (quickest - App#1 above)
Time to fix bug = time to find bug + time to code fix + time to deploy to production
Large Organisation or Important System (longest - App#2 above)
Time to fix bug = time to find bug + time to document & prioritise bug + time to estimate cost + time to approve work on fix + time to design fix + time to document fix + time to code fix + time to document test plan + time to test fix + time to regression test + time to performance/load test + time to schedule & approve deployment + time to deploy fix
Edit: How many Microsoft employees does it take to change a lightbulb? is an interesting read on the topic.
1: See http://blogs.msdn.com/ericlippert/archive/2003/10/28/53298.aspx
The answer would be a ratio of how much access one has to the production environment to the quantity of lives or money at stake.
Workarounds.
I've had previous experience where a user deemed a functionality dead due to a bug, notified us, waited til the bug was fixed, then told us that during the downtime on that section that they've been entering information into their old excel version of the application (Oracle APEX migration from Excel) and then nicely asked us the turn around time on us dynamically inserting the data from their excel application again. The turn around for that was longer than the downtime for the original bug.
I just finished my first iPhone app. It's a little game and I want to launch it for 99 cents.
So my concerns is, how long usually does an app stay on the new released list. ALso, is there any launching tips on timing etc?
Thank you
These days apps stay on the new app list for hours rather than days. It used to be that updates gave you better visibility but but my last update caused barely a blip in sales so I don't think it is true anymore. This will probably depend on the categories you are in though.
The goldrush is sadly over. It used to be that merely being in the app store generated hundreds or thousands of sales. That is definitely not true any more. Now you need either luck or marketing.
Things you can do:
Provide review copies to as many
sites as you can find. Most will
have limited visibility but if you
can get onto a bigger site you may
get some sales out of it.
Provide a free limited version.
Build a mailing list on your website
Pimp it everywhere. In your sig, on your website
Start writing the second game
ASAP - why wait, right? In reality, your true launch date is going to be determined by Apple anyways depending on how long it takes them to review and approve your app.
One tip I've heard is to update reasonably often.
When you update, your app may reappear on some of the category lists as being recently added/updated. This can give you some extra visibility which might just be what gets you ahead.