Insight into Service Status, availability and performance - integration

Even if a PaaS solution abstracts the operational side of services for the consumer, me as the responsible guy in the enterprise for the application i need to have insight into the end-to-end view of the application. So in BM speak, into the runtime as well as into the service.
Is there any way to funnel back information from the BM (either through monitoring services in BM) to my entperise event management system?
I am asking here for funneling back information from runtimes as well as getting at least some status information from the services.
Thanks

I don't speak BM (insert joke here) or know what BM means.
There are Application Performance Monitoring (APM) tools which plug into PaaS solutions which provide the end to end view and performance of applications hosted on that kind of abstraction. Most of them will bridge apps and transactions which span both the PaaS components and non-PaaS components.
I have a background in monitoring these types of apps when I was an end user, I was also the expert at Gartner on this space for 4 years, and I've recently moved to a vendor who builds these tools. The company I work for (AppDynamics) does exactly this and we have a ton of PaaS integrations and capabilities (and customers). Feel free to reach out to me and/or the company if you have questions.
We also do have competitors, but you'll find we are the only solution which is both PaaS friendly and provides a full end to end transaction path visibility for every transaction. The challenges with PaaS systems is that they are highly dynamic and the PaaS itself handles scale up and scale down, we are designed for these specific use cases.

Related

Is BizTalk The Correct Solution?

We have about about six systems (they are all internal systems) that we need to send data between. Currently we do not have a consistent way of doing this. We use SSIS, SQL Server linked servers to directly update databases, ODBC connections to directly update databases, text files, etc..
Our goals are:
1) Have a consistent way of connecting applications.
2) Have a central way of monitoring and logging the connections between
applications.
3) For the applications that offer web services we
would like to start using them instead of connectiong directly with
the database.
Whatever we use will need to be able to connect to web services, databases, flat files, and should also be able to accept data via a tcp connection.
Is Biztalk a good solution for this, or is it is overkill?
It really depends. For the architecture you're describing, it would seem a good fit. However, you will need to validate wether biztalk can communicate whith the systems you are trying to integrate. For example; when these systems use webservices, message queues or file based communication, that may be a good fit.
When you start with biztalk, you have to be willing to invest in hardware, software, en most of all in learning to use it.
regarding your points:
1) yes, if you make sure to encapsulate the system connectors correctly
2) yes, biztalk supports this with BAM
3) yes, that would match perfectly
From what you've described (6 systems), it is definitely a good time to investigate a more formalized approach to integration, as you've no doubt found that in a point to point / direct integration approach will result in a large number of permutations / spaghetti as each new system is added.
BizTalk supports both hub and spoke, and bus type topologies (with the ESB toolkit), either of which will reduce the number of interconnects between your systems.
To add to oɔɯǝɹ:
Yes - ultimately BizTalk converts everything to XML internally and you will use either visual maps or xslt to transform between message types.
Yes. Out of the box there are a lot of WMI and Perfmon counters you can use, plus BizTalk has a SCOM management pack to monitor BizTalk's Health. For you apps, BAM (either TPE for simple monitoring, but more advanced stuff can be done with the BAM API).
Yes - BizTalk supports all the common WCF binding types, and basic SOAP web services. BizTalk's messagebox can be used as a pub / sub engine which can allow you to 'hook' other processes into messages at a later stage.
Some caveats:
. BizTalk should be used for messages (e.g. Electronic Documents across the organisation), but not for bulk data synchronisation. SSIS is a better bet for really large data transfers / data migration / data synchronisation patterns.
. As David points out, there is a steep learning curve to BizTalk and the tool itself isn't free (requiring SQL and BizTalk licenses, and usually you will want to use a monitoring tool like SCOM as well.). To fast track this, you would need to send devs on BizTalk training, or bring in a BizTalk consultant.
. Microsoft seem to be focusing on Azure Service Bus, and there is speculation that BizTalk is going merged into Azure Service Bus at some point in future. If your enterprise strategy isn't entirely Microsoft, you might also want to consider products like NServiceBus and FUSE for an ESB.
You problem is a typical enterprise problem. Companies start of building isolated applications like HR, Web, Supply Chain, Inventory, Client management etc over number of years and once they reach a point these application cannot be living alone and they need to talk to each other, typically they start some hacked solution like data migration at database level.
But very soon they realize the problems like no clear visibility, poor management, no standards etc and they create a real spaghetti. The biggest threat is applications will become dependant on one another and you lose your agility to change anything. Any change to system will require heavy testing and long release cycle.
This is the kind of problem a middleware platform like BizTalk Server will solve for you. Lot of replies in the thread focused on cost of BizTalk server (some of the cost mentioned are not correct BTW). It's not a cheap product, but if you look at the role it play in your organisation as a central middleware platform connecting all the applications together and number of non-functional benefits you get out of the box like adapters to most of the third party products like SAP, Oracle, FTP, FILE, Web Services, etc, ability to scale your platform easily, performance, long running work flows, durability, compensation logic for long running workflows, throttling your environment etc., soon the cost factor will diminish.
My recommendation will be take a look at BizTalk, if you are new then engage with local Microsoft office. Either they can help or recommend a parter who can come and analyse your situation.

B2B Application Building and Maintenance Cost

I've been considering for some time now to get into be b2b integration business. I've researched the tools available for doing this,
like Oragle's WebLogic Integration, IBM's WebSphere, or Microsoft's BizTalk. They all seem to do the job (each having their ups and downs).
I've also looked at some companies that already are doing this (ex: www.hubspan.com). It seems that b2b integration is very needed service.
Although my background is in integration of commercial products with open source software, I feel that concerning the b2b integration world,
I still feel that I need to feel some blanks.
So basically I'd like to clear a few things concerning all this:
All the frameworks that I previously mentioned are just that, frameworks. They allow to build an application ON TOP of the said frameworks,
they are not itendet ot be a final product. I assume that this is because the integration needs of different companies vary so much,
that an out-of-the-box solution is just not possible. So my question is, do the applications build with the said frameworks vary so much
from business to business, that it's not possible to reuse them?
Also, is it possible to build a single framework of Suppliers and Customers (build a Core of somekind), and connect new Costumers and/or
Suppliers as they come? (this is the way HubSpan did it, not counting the developing of custom Connectors to the Client ERP systems).
Or will I have to do a separate integration for each Customer?
How much work hours is required to complete a typical integration project, (assuming everything is planned and executed properly)?
(For the sake of simplicity, let's say that the integration includes only 'Query Product Price', 'Query Product Availability',
and 'Purchase Order Management'.
And finally, is this a job for a sigle person (can I do this myself?, assuming I have the knowledge to do it) or a team is required?
Thanks in advance for sharing your thoughs and oppinions.
Yes they can vary that much.
It depends on the business. Some will integrate easily while others will need custom modules and connectors
There isn't really a "typical" integration project.
Depends on the size of the project. If you're talking fortune 500 companies then no. If you're talking a local manufacturer and local supply house (presumably small) then maybe.
This is probably a question better asked on the programmers.stackexchange
I think it varies a lot. You should probably define what you mean by B2B, and there are a lot of different types these days. From a BizTalk perspective, it is possible to build an application service provider (ASP) version of B2B but it is hard to do.
The level of customization is one of the factors that drives up cost and the length of the project. I think it is difficult to do B2B alone, usually there is so much business domain knowledge specific to each company that you need those business people to help explain the existing systems.
Thanks,

In which domains are message oriented middleware like AMQP useful?

What problem do MOM (Message Oriented Middleware) solve? Scalability? Integration?
In which domain are they typically used and in which domains are they typically not used?
For example, say, is Google using such solution for it's main search engine or to power GMail?
What about big websites like Walmart, eBay, FedEx (pretty much a Java shop) and buy.com (pretty much an MS shop)? Does MOM solve a need there?
Does it make any sense when you're writing a Webapp where you control the server-side and have an homogenous environment (say tens of Amazon EC2 instances all running Linux + Java JVMs) there and where the clients are, well, Web browsers?
Does it make sense for desktop apps that need to communicate with a server?
Or is it 'only' for big enterprise stuff where you typically have a happy mix of countless of different systems that needs to communicate in a way or another?
I'm a bit confused as to what they're useful for and I think that with example of where they're appropriate and where they're not appropriate I could better understand their use.
This is a great question.
The main uses of messaging are: scaling, offloading work, integration, monitoring, event handling, routing, networking, push, mobility, buffering, queueing, task sharing, alerts, management, logging, batch, data delivery, pubsub, multicast, audit, scheduling, ... and more. Basically: anything where you need data but don't want to make a database request. (Caching is another, longer story).
Another way of looking at this is to notice that many applications used to be built by assuming that users (people) would perform actions that would be fulfilled by executing a transaction on a database (including reads, writes). But today, many actions are not user-initiated. Instead they are application-initiated. For example "tell me when the book that I want to buy is in stock". The best way to solve this class of problems is with messaging of some sort. Whether you call it middleware or web push or real time salad dressing does not matter. It's all messaging.
When you enable applications to initiate or react to events, then it is much easier to scale because your architecture can be based on loosely coupled components. It is also much easier to integrate those components if your messaging is based on a stable, scalable, serviceable tool, preferably using open standard APIs and protocols.
I hope this helps. We try to maintain a list of useful links about messaging here
Please get in touch with questions and comments on any of this, we are dead easy to find.
To address your specific questions:
In which domain are they typically used and in which domains are they typically not used?
Like databases, messaging systems crop up everywhere.
For example, say, is Google using such solution for it's main search engine or to power GMail?
Google uses a lot of home grown technology, but a lot of their open source contributions and known use cases suggest that messaging is (or should be) central to some of the main services.
What about big websites like Walmart, eBay, FedEx (pretty much a Java shop) and buy.com (pretty much an MS shop)? Does MOM solve a need there?
Very much so.
An example use case is scaling web page requests. When the user makes a web request, the web server puts it onto a queue for background processing. This means that the web server can keep working while the request is processed. It also means that the web server does not need to know how the request is handled, making system maintenance, upgrade and rollback much simpler because the main parts are 'decoupled'.
So, anyway, the web request gets processed by a back end service, or possibly by many services, eg 'look up book titles', 'draw shopping cart', 'get advertisement', 'check user account'... Finally all the results get put onto another queue, ready for collection and user response by the web server. Typically the system will include a timeout of around 100ms so that any late requests just get thrown away. The user sees anything that got processed in the time interval. This is one reason why some large ecommerce sites have pages that appear to load in stages.
There are many more use cases...
Does it make any sense when you're writing a Webapp where you control the server-side and have an homogenous environment (say tens of Amazon EC2 instances all running Linux + Java JVMs) there and where the clients are, well, Web browsers?
Definitely. If you have an unknown, or unbounded, number of users, server side instances, and application latencies, then it makes sense to use messaging, even if just as a scalable substrate for non-blocking RPC.
Does it make sense for desktop apps that need to communicate with a server?
In lots of cases. One very common case is when the server pushes events to the desktop app, eg game event, tweets, price feeds in finance, system alerts....
Or is it 'only' for big enterprise stuff where you typically have a happy mix of countless of different systems that needs to communicate in a way or another?
Definitely not only for those 'legacy integration' cases but they are important too. At RabbitMQ, the biggest customers we have in terms of pure scale or message volume are cloud providers and big web application providers.
I will answer only one answer, from prior experience - take a look at this middle-ware that is employed by big companies here - middle-ware has one purpose - to glue dis-connected systems (written in disparate languages) together so that they can interact with one another and streamline the business process - Entera as I have had experience with, creates a middle layer in which the unix box using processes written in C, interact with the mainframe system (DB2, COBOL) via a front-end written in PowerBuilder (I am not naming the company!).
From the description I have given, Entera is a middle-ware which hosts a number of things - smooth integration of the flow of data regardless of the endian format, ability for different languages to talk to the middle-ware broker (a broker is a CORBA or DCE like process, that conforms to 'The Open Group) that listens on a particular port) and is specified by an IDL which makes a process appear to be local - if you understand the terminology used in Remoting under Microsoft's .NET Framework, you are not far off the mark! The middle-ware generates stubs which are linked at compile-time and manages the creation of the process, hosting it off a port, multi-threading at run-time, and also, the modern front-ends (such as .NET, Java, PowerBuilder even the unspeakable VB6...ok...VB.NET for the purists out there) can interact by opening a connection to the specified port on a particular IP address, and using the stubs generated, can interact with it directly.
Obviously, from what was described you can see how the legacy systems can have new life breathed into it and thus scalability of the process, the major downside of this is the cost factor which can run into thousdands of dollars. Big companies who uses mainframes as their back-end processing systems for billing/invoicing, who generate a huge revenue can obviously afford such an expensive product - to them it would seem like throwing pennies into a pool of water...because of the use of middle-ware which prolongs the business process, and breathe new life into it, can extend the business by a good number of years into the future without worrying about 'legacy' tag attached to it.
Incidentally, I carried this out as part of my thesis for my BSc. in Information Systems which covered this commercial front-end. There was an open source version of the middle-ware available on sourceforge called FreeDCE, but development efforts have declined or stopped.
Edit:
#cocotwo: That is exactly what middle-ware does as you said it is a plumbing tool...message oriented middle-ware is not really heard of AFAIK because I would imagine, the processes (functions) would need to be called as if they are locally visible within the application domain of the front-end to make it easy to interact with.
Using messages may have its advantages over RPC calls in that the messages are queued in a safe-holding area in the event that a network disconnection occurs - there may be some data caching going on within that aspect to allow the front-end to continue regardless...it would be useful in the instances of 'updating a status of a particular billing/invoice number' - a one-way write-data to the back-end via the middle-ware.
Ok, big companies would have advanced systems infrastructure in that technicians are constantly around the clock to ensure a smooth delivery of data-flow so that would have to be factored in. The company that I worked with had IBM Global Support contract to fulfill in order to ensure a maximum uptime 99% with 6 nine's after the decimal point...with hot-swapping/balanced-clusters/mirroring systems in place...
Whereas with RPC, if the disconnection occurs, the front-end would have to be restarted or would have to handle the disconnection event. It really depends if the message-queueing middle-ware handles each message in real-time and pass back results to the front-end immediately...
This is where each (Message-queueing and RPC related middle-ware) have their strengths and weaknesses...and also the cost mitigation factor such as support, maximum up-time, development efforts and training - that's a biggie here as middle-ware are really proprietary (despite following the 'The Open Group' layout/standards) and complex to setup and to glue the whole thing together via scripts.
Good answers and discussion here. Our consulting team has two preferred "messaging" solutions: RabittMQ and NXTera a high speed RPC middleware, the contemporary version of Entera mentioned above. My partners and I have developed several solutions using RabittMQ, it is the best tool available in that space right now. Additionally, I happen to work for the company that makes NXTera/Entera.
From experience I can clearly say that both of these products meet the need for reliability and low maintenance as discussed above. There are situations where a messaging service, like RabittMQ, is the right choice -- where Publish and subscribe, certified delivery, Queuing or store-and-forward are required.
In other cases, RPC's (remote procedure calls) are the best and fastest solutions for transactional and distributed processing for enterprise or cloud-based applications. When it is right to use an RPC, but SOAP/.NET (yes these are RPC implementations) are too slow, expensive or complex, a lightwieght high speed RPC middleware like NXTera/Entera is the right choice for us.
There is some use case overlap between RPC middleware and message oriented middleware, and where there are you can use either successfully. But both are strong and dependable choices.
The large companies I work with use both RPC and MoM side-by-side. As far as Internet companies, Google (Protocol Buffers) and Facebook (Thrift) show that RPC's have a roll to play in modern web and cloud-based development.

Should I code for browser or PC? (fleet management)

I have to architect a commercial vehicle fleet tracking system.
Each vehicle (a few 100, max a few 1,000) will have a GPS and satellite transmitter and will periodically report its position. Positions will be stored in a database and used to create a Google Map.
There will of course be other functionalities. Security, log in, etc and probably lots of interaction with other corporate databses (drivers start/stop time for salary purposes, etc).
Question: pure GoogleMaps is probably best implemented as a browser based app (Php & MySql?), but with the additional functionality of a commercial vehicle fleet tracking system, would it be better doing something PC based (Windows/Linux)?
Any other advice? Thanks
I think with the capabilities of modern browsers, along with various mature client-side frameworks, we are witnessing an always thinning distinction between web and desktop interfaces.
You may want to take into consideration that a web application automatically solves some important problems for you:
Distribution: No need to distribute your application. Simply provide a URL.
Updates: Upgrading and fixing problems in your software will be easier and quicker if you distribute it through a web interface.
Security: Deriving from the above, you are able to fix security vulnerabilities more promptly.
Compatibility: Your application will be able to work on any operating system that can launch a web browser.
Last but not least, remember that the Google Maps API is not free for this type of application. Article 10.9.C of Google Maps API Terms and Conditions explicitly restrict using the standard Google Maps API for fleet management and asset tracking. You would need the Google Maps API Premier to legally use Google Maps for your application.
According to one unofficial source (dated April 2008), this would cost USD 10,000 per year, which entitles you to track 100 vehicles. If you exceed the 100 vehicles, you would need to add USD 24 per additional vehicle per year.
Implement solution for the domain problems first. It means data storage, data transmission between vehicles and your system, methods of data analysis, aggregation and visualisation.
These will likely to sit as a head-less system on a server and provide access to it remotely, in both directions: to input data and to query data.
Now, PC or Web is more related to presentation on a client side. You can make both if you like. Web client as well as desktop application can serve as a client to remote data and operational server.
Don't forget that you can always host a web control in a thick client app. This is actually trivial with .Net on the Windows platform with the IE control. You can also access the browser's DOM this way and do some neat things. So just because there's a strong web component to what you're doing you're not necessarily "stuck" writing a pure web app.
One big question is what kind of hardware you'll be able to put in the vehicles. Will they be laptops or small PCs with full fledged OSs or something more mobile like CE or a pared-down Linux distro?
Google Maps is JavaScript based so you can do most things with it, e.g browser based, widgets, etc. However due to the licensing Google won't allow you to use it in anything other than an Internet environment unless you use there Enterprise License.
In terms of integrating it into other systems, its really difficult to say what's best without knowing what other software you are using, what protocols they use, are web services available, etc. I agree with Daniel though in that any distributed system not implemented in a browser better have some good reasons not to, simply because the benefits are substantial. You'll need to weight them up though with a full break down of all the different systems you will need to interact with and work out what fits best.
The great thing is that with it being JavaScript based you have a lot of flexibility in what you can do with it.
This is more an extension to #Daniel Vassallo's answer. Although a web based application would solve most problems there may be the small potential issue of bandwidth usage and reception for internet access. This may or may not be an issue for the fleet management, depending on how that is tackled on the hardware side of things.
An offline solution may assist with this issue but then a clever architect could find a way to create an initial web based solution which can be accessed with an offline application which can pick up the slack and/or provide predictive reasoning until a connection is re-established.

Justification for using the cloud?

I'm currently writing a large scale ASP.Net web app.
One of the thngs I can't find out about is how to justify when to use the cloud. E.g. when should I use google app engine/azure?
Also, when would I want to use bigtable over a standard dbms such as Sql Server?
Thanks
Cloud computing is all about scalability. It allows you to scale up AND scale down without having to rework your designs.
It works well for small sites, since you are only paying for resources used, but if you need to scale up, it just happens automatically (provided your application was designed for the cloud).
Also, there are theoretically much better tools in place for maintaining uptime and reliability in the cloud. For example, a system upgrade can happen without stopping your service, since the cloud computing platforms can automatically take on or off servers to service your application.
There's been a lot of talk about that from the Azure devs.
Also, there can be a financial motivation for using the cloud. Using a hosted cloud architecture can be less expensive than managing the multiple servers (DB, web, etc) that would be required for a traditional site, at least up front. As your usage goes up, the cost follows, but in theory, it can be more cost effective.
I'm not too familiar with anything else except app engine and EC2.
I'll try to add something to the previous answers:
The best thing about app engine is it's free until you attract a certain amount of users and you are charged for what your application uses, idle time is not charged.
Big table may differ from an rdbms architecturaly but from a perspective of a developer using it it's not that different.
Another good thing is python is supported. The bad thing is the standard library is crippled.
Also, you don't have full control over your data on the cloud (appengine), what I mean is you can't completely restrict the people from google from taking a peek in what you store there.
This question is very closely related to another question asked today:
"When shouldnt-you-use-a-relational-database?"
Relational databases and non-relational databases (like BigTable) address different needs. Not only in scale and performance, but in the structure and usage of the data.
The "Cloud" as I understand it is about scalability primarily. That is, the architecture refers to a capability to increase capacity in a scalable way.
Also, the Cloud is used frequently in reference to the Software-as-a-Service (SaaS) model, where someone else takes care of the servers, but that's an independent issue from the Cloud architecture. I.e. you could operate your own set of servers in a Cloud architecture.
So the justification for using the Cloud architecture is that you have an application that has a variable need for computing capacity. So it would be overkill to have N servers dedicated to match your peak level of activity. The Cloud allows you to vary your usage of the servers as your level of activity grows (and diminishes) over time.
The justification for using a SaaS model is that you don't want to be in the business of operating a data center. You're willing to relinquish some control and pay for the service, so that you can leave operation details to the experts in that technology. They handle backups, hardware failures, upgrades, 24x7 operation, etc. You handle your application and your business.
I recommend you subscribe to and read the High Scalability blog, especially some of the most visited posts such as those about the architecture of various large sites, as you will learn a lot from it that may help you make a decision. There is no hard rule as to when you should or should not use a cloud service or move from a relational database to a keyvalue system like BigTable.
One upside of cloud services in any case is that if you build your application with them, it will be immediately scalable and require much less rework later on if you require that kind of performance. However, in view of premature optimisation, it would be wise to be sure that you need that kind of scalability before you decide to build your app on such a platform.
There are several concepts to wrap your head around when using a datastore system like BigTable as well, such as not being able to just slam out writes like you would in a relational database, and having to precalculate a lot of your data rather than just doing that based on info from the database.
Although again, you can learn a lot from reading the abovementioned blog and related posts about Youtube, Plentyoffish, Google, etc.
You say you are "currently writing a large scale ASP.NET app". If you have made significant progress on it, you are already pass the point where you can justify using Google app engine or Azure. Both require significantly different architectures than you have build with a traditional application due to language support, database differences, and maturity.
Google App Engine is Python only so switching to it would require a complete rewrite
Big table is not a relational database and requires very different coding patters. SQL Data Services originally announced to be non-relational as well, but is moving to be more relational. I have not seen how close to a standard MSSQL database it currently is.
I would consider Google app engine to be a relatively immature platform so far. Database functionality is limited, you cannot run background processes, profiling and performance tuning tools are limited at best. Azure is currently in limited community preview, and so is not even available to ship a product on today.
While there are many very valid reasons to use a cloud architecture, moving to it will require significantly different architectures. Think about what effect changing that architecture (and possibly waiting for platform availability) will do to your release date.
If you are early in your project, cloud vs. not cloud is a great question to ask. If you have well on your way, I think that the importance of getting to shipping code and leveraging the work you have already put in should trump any benefits to the cloud you may see.