2.5 bad ways to implement a server load balancing architecture
I'm in a bit of mood after reading a Javaworld article on server load balancing that presents some fairly poor ideas on architectural implementations. It's not the concepts that are necessarily wrong; they will work. It's the architectures offered as a method of load balancing made me do a double-take and say "What?" I started reading this article because it was part 2 of a series on load balancing and this installment focused on application layer load balancing. You know, layer 7 load balancing. Something we at F5 just might know a thing or two about. But you never know where and from whom you'll learn something new, so I was eager to dive in and learn something. I learned something alright. I learned a couple of bad ways to implement a server load balancing architecture. TWO LOAD BALANCERS? The first indication I wasn't going to be pleased with these suggestions came with the description of a "popular" load-balancing architecture that included two load balancers: one for the transport layer (layer 4) and another for the application layer (layer 7). In contrast to low-level load balancing solutions, application-level server load balancing operates with application knowledge. One popular load-balancing architecture, shown in Figure 1, includes both an application-level load balancer and a transport-level load balancer. Even the most rudimentary, entry level load balancers on the market today - software and hardware, free and commercial - can handle both transport and application layer load balancing. There is absolutely no need to deploy two separate load balancers to handle two different layers in the stack. This is a poor architecture introducing unnecessary management and architectural complexity as well as additional points of failure into the network architecture. It's bad for performance because it introduces additional hops and points of inspection through which application messages must flow. To give the author credit he does recognize this and offers up a second option to counter the negative impact of the "additional network hops." One way to avoid additional network hops is to make use of the HTTP redirect directive. With the help of the redirect directive, the server reroutes a client to another location. Instead of returning the requested object, the server returns a redirect response such as 303. I found it interesting that the author cited an HTTP response code of 303, which is rarely returned in conjunction with redirects. More often a 302 is used. But it is valid, if not a bit odd. That's not the real problem with this one, anyway. The author claims "The HTTP redirect approach has two weaknesses." That's true, it has two weaknesses - and a few more as well. He correctly identifies that this approach does nothing for availability and exposes the infrastructure, which is a security risk. But he fails to mention that using HTTP redirects introduces additional latency because it requires additional requests that must be made by the client (increasing network traffic), and that it is further incapable of providing any other advanced functionality at the load balancing point because it essentially turns the architecture into a variation of a DSR (direct server return) configuration. THAT"S ONLY 2 BAD WAYS, WHERE'S THE .5? The half bad way comes from the fact that the solutions are presented as a Java based solution. They will work in the sense that they do what the author says they'll do, but they won't scale. Consider this: the reason you're implementing load balancing is to scale, because one server can't handle the load. A solution that involves putting a single server - with the same limitations on connections and session tables - in front of two servers with essentially the twice the capacity of the load balancer gains you nothing. The single server may be able to handle 1.5 times (if you're lucky) what the servers serving applications may be capable of due to the fact that the burden of processing application requests has been offloaded to the application servers, but you're still limited in the number of concurrent users and connections you can handle because it's limited by the platform on which you are deploying the solution. An application server acting as a cluster controller or load balancer simply doesn't scale as well as a purpose-built load balancing solution because it isn't optimized to be a load balancer and its resource management is limited to that of a typical application server. That's true whether you're using a software solution like Apache mod_proxy_balancer or hardware solution. So if you're implementing this type of a solution to scale an application, you aren't going to see the benefits you think you are, and in fact you may see a degradation of performance due to the introduction of additional hops, additional processing, and poorly designed network architectures. I'm all for load balancing, obviously, but I'm also all for doing it the right way. And these solutions are just not the right way to implement a load balancing solution unless you're trying to learn the concepts involved or are in a computer science class in college. If you're going to do something, do it right. And doing it right means taking into consideration the goals of the solution you're trying to implement. The goals of a load balancing solution are to provide availability and scale, neither of which the solutions presented in this article will truly achieve.Why you still need layer 7 persistence
Tony Bourke of the Load Balancing Digest points out that mega proxies are largely dead. Very true. He then wonders whether layer 7 persistence is really all that important today, as it was largely implemented to solve the problems associated with mega-proxies - that is, large numbers of users coming from the same IP address. Layer 7 persistence is still applicable to situations where you may have multiple users coming from a single IP address (such as a small client base coming from a handful of offices, with each office using on public IP address), but I wonder what doing Layer 4 persistence would do to a major site these days. I’m thinking, not much. I'm going to say that layer 4 persistence would likely break a major site today. Layer 7 persistence is even more relevant today than it has been in the past for one very good reason: session coherence. Session coherence may not have the performance and availability ramifications of the mega-proxy problem, but it is essential to ensure that applications in a load-balanced environment work correctly. Where's F5? VMWorld Sept 15-18 in Las Vegas Storage Decisions Sept 23-24 in New York Networld IT Roadmap Sept 23 in Dallas Oracle Open World Sept 21-25 in San Francisco Storage Networking World Oct 13-16 in Dallas Storage Expo 2008 UK Oct 15-16 in London Storage Networking World Oct 27-29 in Frankfurt SESSION COHERENCE Layer 7 persistence is still heavily used in applications that are session sensitive. The most common example is shopping carts stored in the application server session, but it also increasingly important to Web 2.0 and interactive applications where state is important. Sessions are used to store that state and therefore Layer 7 persistence becomes important to maintaining that state in a load-balanced environment. It's common to see layer 7 persistence driven by JSESSIONID or PHPSESSIONID header variables today. It's a question we see in the forums here on DevCentral quite often. Many applications are rolled out, and then inserted into a load balanced environment, and subsequently break because sessions aren't shared across web application servers and the client isn't always routed to the same server or they come back "later" (after the connections have timed out) and expect the application to continue where they left it. If they aren't load balanced back to the same server, the session data isn't accessible and the application breaks. Application server sessions generally persist for hours as opposed to the minutes or seconds allowed for a TCP connection. Layer 4 (TCP) persistence can't adequately address this problem. Source port and IP address aren't always enough to ensure routing to the correct server because it doesn't persist once the connection is closed, and multiple requests coming from the same browser use multiple connections now, each with a different source port. That means two requests on the same page may not be load balanced to the same server, even though they both may require access to the application session data. These sites and applications are used for hours, often with long periods of time between requests, which means connections have often long timed out. Could layer 4 persistence work? Probably, but only if the time-out on these connections were set unreasonably high, which would consume a lot more resources on the load balancer and reduce its capacity significantly. And let's not forget SaaS (Software as a Service) sites like salesforce.com, where rather than mega-proxy issues cropping up we'd have lots-of-little-proxy issues cropping up as businesses still (thanks to IPv4 and the need to monitor Internet use) employ forward proxies. And SSL, too, is highly dependent upon header data to ensure persistence today. I agree with Tony's assessment that the mega proxy problem is largely a non-issue today, but session coherence is taking its place a one of the best reasons to implement layer 7 persistence over layer 4 persistence.Persistent and Persistence, What's the Difference?
The English language is one of the most expressive, and confusing, in existence. Words can have different meaning based not only on context, but on placement within a given sentence. Add in the twists that come from technical jargon and suddenly you've got words meaning completely different things. This is evident in the use of persistent and persistence. While the conceptual basis of persistence and persistent are essentially the same, in reality they refer to two different technical concepts. Both persistent and persistence relate to the handling of connections. The former is often used as a general description of the behavior of HTTP and, necessarily, TCP connections, though it is also used in the context of database connections. The latter is most often related to TCP/HTTP connection handling but almost exclusively in the context of load-balancing. Persistent Persistent connections are connections that are kept open and reused. The most commonly implemented form of persistent connections are HTTP, with database connections a close second. Persistent HTTP connections were implemented as part of the HTTP 1.1 specification as a method of improving the efficiency Related Links HTTP 1.1 RFC Persistent Connection Behavior of Popular Browsers Persistent Database Connections Apache Keep-Alive Support Cookies, Sessions, and Persistence of HTTP in general. Before HTTP 1.1 a browser would generally open one connection per object on a page in order to retrieve all the appropriate resources. As the number of objects in a page grew, this became increasingly inefficient and significantly reduced the capacity of web servers while causing browsers to appear slow to retrieve data. HTTP 1.1 and the Keep-Alive header in HTTP 1.0 were aimed at improving the performance of HTTP by reusing TCP connections to retrieve objects. They made the connections persistent such that they could be reused to send multiple HTTP requests using the same TCP connection. Similarly, this notion was implemented by proxy-based load-balancers as a way to improve performance of web applications and increase capacity on web servers. Persistent connections between a load-balancer and web servers is usually referred to as TCP multiplexing. Just like browsers, the load-balancer opens a few TCP connections to the servers and then reuses them to send multiple HTTP requests. Persistent connections, both in browsers and load-balancers, have several advantages: Less network traffic due to less TCP setup/teardown. It requires no less than 7 exchanges of data to set up and tear down a TCP connection, thus each connection that can be reused reduces the number of exchanges required resulting in less traffic. Improved performance. Because subsequent requests do not need to setup and tear down a TCP connection, requests arrive faster and responses are returned quicker. TCP has built-in mechanisms, for example window sizing, to address network congestion. Persistent connections give TCP the time to adjust itself appropriately to current network conditions, thus improving overall performance. Non-persistent connections are not able to adjust because they are open and almost immediately closed. Less server overhead. Servers are able to increase the number of concurrent users served because each user requires fewer connections through which to complete requests. Persistence Persistence, on the other hand, is related to the ability of a load-balancer or other traffic management solution to maintain a virtual connection between a client and a specific server. Persistence is often referred to in the application delivery networking world as "stickiness" while in the web and application server demesne it is called "server affinity". Persistence ensures that once a client has made a connection to a specific server that subsequent requests are sent to the same server. This is very important to maintain state and session-specific information in some application architectures and for handling of SSL-enabled applications. Examples of Persistence Hash Load Balancing and Persistence LTM Source Address Persistence Enabling Session Persistence 20 Lines or Less #7: JSessionID Persistence When the first request is seen by the load-balancer it chooses a server. On subsequent requests the load-balancer will automatically choose the same server to ensure continuity of the application or, in the case of SSL, to avoid the compute intensive process of renegotiation. This persistence is often implemented using cookies but can be based on other identifying attributes such as IP address. Load-balancers that have evolved into application delivery controllers are capable of implementing persistence based on any piece of data in the application message (payload), headers, or at in the transport protocol (TCP) and network protocol (IP) layers. Some advantages of persistence are: Avoid renegotiation of SSL. By ensuring that SSL enabled connections are directed to the same server throughout a session, it is possible to avoid renegotiating the keys associated with the session, which is compute and resource intensive. This improves performance and reduces overhead on servers. No need to rewrite applications. Applications developed without load-balancing in mind may break when deployed in a load-balanced architecture because they depend on session data that is stored only on the original server on which the session was initiated. Load-balancers capable of session persistence ensure that those applications do not break by always directing requests to the same server, preserving the session data without requiring that applications be rewritten. Summize So persistent connections are connections that are kept open so they can be reused to send multiple requests, while persistence is the process of ensuring that connections and subsequent requests are sent to the same server through a load-balancer or other proxy device. Both are important facets of communication between clients, servers, and mediators like load-balancers, and increase the overall performance and efficiency of the infrastructure as well as improving the end-user experience.4 Things You Need in a Cloud Computing Infrastructure
Cloud computing is, at its core, about delivering applications or services in an on-demand environment. Cloud computing providers will need to support hundreds of thousands of users and applications/services and ensure that they are fast, secure, and available. In order to accomplish this goal, they'll need to build a dynamic, intelligent infrastructure with four core properties in mind: transparency, scalability, monitoring/management, and security. Transparency One of the premises of Cloud Computing is that services are delivered transparently regardless of the physical implementation within the "cloud". Transparency is one of the foundational concepts of cloud computing, in that the actual implementation of services in the "cloud" are obscured from the user. This is actually another version of virtualization, where multiple resources appear to the user as a single resource. It is unlikely that a single server or resource will always be enough to satisfy demand for a given provisioned resource, which means transparent load-balancing and application delivery will be required to enable the transparent horizontal scaling of applications on-demand. The application delivery solution used to provide transparent load-balancing services will need to be automated and integrated into the provisioning workflow process such that resources can be provisioned on-demand at any time. Related Articles from around the Web What cloud computing really means How Cloud & Utility Computing Are Different The dangers of cloud computing Guide To Cloud Computing For example, when a service is provisioned to a user or organization, it may need only a single server (real or virtual) to handle demand. But as more users access that service it may require the addition of more servers (real or virtual). Transparency allows those additional servers to be added to the provisioned service without interrupting the service or requiring reconfiguration of the application delivery solution. If the application delivery solution is integrated via a management API with the provisioning workflow system, then transparency is also achieved through the automated provisioning and de-provisioning of resources. Scalability Obviously cloud computing service providers are going to need to scale up and build out "mega data centers". Scalability is easy enough if you've deployed the proper application delivery solution, but what about scaling the application delivery solution? That's often not so easy and it usually isn't a transparent process; there's configuration work and, in many cases, re-architecting of the network. The potential to interrupt services is huge, and assuming that cloud computing service providers are servicing hundreds of thousands of customers, unacceptable. The application delivery solution is going to need to not only provide the ability to transparently scale the service infrastructure, but itself, as well. That's a tall order, and something very rarely seen in an application delivery solution. Making things even more difficult will be the need to scale on-demand in real-time in order to make the most efficient use of application infrastructure resources. Many postulate that this will require a virtualized infrastructure such that resources can be provisioned and de-provisioned quickly, easily and, one hopes, automatically. The "control node" often depicted in high-level diagrams of the "cloud computing mega data center" will need to provide on-demand dynamic application scalability. This means integration with the virtualization solution and the ability to be orchestrated into a workflow or process that manages provisioning. Intelligent Monitoring In order to achieve the on-demand scalability and transparency required of a mega data center in the cloud, the control node, i.e. application delivery solution, will need to have intelligent monitoring capabilities. It will need to understand when a particular server is overwhelmed and when network conditions are adversely affecting application performance. It needs to know the applications and services being served from the cloud and understand when behavior is outside accepted norms. While this functionality can certainly be implemented externally in a massive management monitoring system, if the control node sees clients, the network, and the state of the applications it is in the best position to understand the real-time conditions and performance of all involved parties without requiring the heavy lifting of correlation that would be required by an external monitoring system. But more than just knowing when an application or service is in trouble, the application delivery mechanism should be able to take action based on that information. If an application is responding slowly and is detected by the monitoring mechanism, then the delivery solution should adjust application requests accordingly. If the number of concurrent users accessing a service is reaching capacity, then the application delivery solution should be able to not only detect that through intelligent monitoring but participate in the provisioning of another instance of the service in order to ensure service to all clients. Security Cloud computing is somewhat risky in that if the security of the cloud is compromised potentially all services and associated data within the cloud are at risk. That means that the mega data center must be architected with security in mind, and it must be considered a priority for every application, service, and network infrastructure solution that is deployed. The application delivery solution, as the "control node" in the mega data center, is necessarily one of the first entry points into the cloud data center and must itself be secure. It should also provide full application security - from layer 2 to layer 7 - in order to thwart potential attacks at the edge. Network security, protocol security, transport layer security, and application security should be prime candidates for implementation at the edge of the cloud, in the control node. While there certainly will be, and should be, additional security measures deployed within the data center, stopping as many potential threats as possible at the edge of the cloud will alleviate much of the risk to the internal service infrastructure. What are your plans for cloud computing? ( polls)HTTP Pipelining: A security risk without real performance benefits
Everyone wants web sites and applications to load faster, and there’s no shortage of folks out there looking for ways to do just that. But all that glitters is not gold, and not all acceleration techniques actually do all that much to accelerate the delivery of web sites and applications. Worse, some actual incur risk in the form of leaving servers open to exploitation. A BRIEF HISTORY Back in the day when HTTP was still evolving, someone came up with the concept of persistent connections. See, in ancient times – when administrators still wore togas in the data center – HTTP 1.0 required one TCP connection for every object on a page. That was okay, until pages started comprising ten, twenty, and more objects. So someone added an HTTP header, Keep-Alive, which basically told the server not to close the TCP connection until (a) the browser told it to or (b) it didn’t hear from the browser for X number of seconds (a time out). This eventually became the default behavior when HTTP 1.1 was written and became a standard. I told you it was a brief history. This capability is known as a persistent connection, because the connection persists across multiple requests. This is not the same as pipelining, though the two are closely related. Pipelining takes the concept of persistent connections and then ignores the traditional request – reply relationship inherent in HTTP and throws it out the window. The general line of thought goes like this: “Whoa. What if we just shoved all the requests from a page at the server and then waited for them all to come back rather than doing it one at a time? We could make things even faster!” Tada! HTTP pipelining. In technical terms, HTTP pipelining is initiated by the browser by opening a connection to the server and then sending multiple requests to the server without waiting for a response. Once the requests are all sent then the browser starts listening for responses. The reason this is considered an acceleration technique is that by shoving all the requests at the server at once you essentially save the RTT (Round Trip Time) on the connection waiting for a response after each request is sent. WHY IT JUST DOESN’T MATTER ANYMORE (AND MAYBE NEVER DID) Unfortunately, pipelining was conceived of and implemented before broadband connections were widely utilized as a method of accessing the Internet. Back then, the RTT was significant enough to have a negative impact on application and web site performance and the overall user-experience was improved by the use of pipelining. Today, however, most folks have a comfortable speed at which they access the Internet and the RTT impact on most web application’s performance, despite the increasing number of objects per page, is relatively low. There is no arguing, however, that some reduction in time to load is better than none. Too, anyone who’s had to access the Internet via high latency links can tell you anything that makes that experience faster has got to be a Good Thing. So what’s the problem? The problem is that pipelining isn’t actually treated any differently on the server than regular old persistent connections. In fact, the HTTP 1.1 specification requires that a “server MUST send its responses to those requests in the same order that the requests were received.” In other words, the requests are return in serial, despite the fact that some web servers may actually process those requests in parallel. Because the server MUST return responses to requests in order that the server has to do some extra processing to ensure compliance with this part of the HTTP 1.1 specification. It has to queue up the responses and make certain responses are returned properly, which essentially negates the performance gained by reducing the number of round trips using pipelining. Depending on the order in which requests are sent, if a request requiring particularly lengthy processing – say a database query – were sent relatively early in the pipeline, this could actually cause a degradation in performance because all the other responses have to wait for the lengthy one to finish before the others can be sent back. Application intermediaries such as proxies, application delivery controllers, and general load-balancers can and do support pipelining, but they, too, will adhere to the protocol specification and return responses in the proper order according to how the requests were received. This limitation on the server side actually inhibits a potentially significant boost in performance because we know that processing dynamic requests takes longer than processing a request for static content. If this limitation were removed it is possible that the server would become more efficient and the user would experience non-trivial improvements in performance. Or, if intermediaries were smart enough to rearrange requests such that they their execution were optimized (I seem to recall I was required to design and implement a solution to a similar example in graduate school) then we’d maintain the performance benefits gained by pipelining. But that would require an understanding of the application that goes far beyond what even today’s most intelligent application delivery controllers are capable of providing. THE SILVER LINING At this point it may be fairly disappointing to learn that HTTP pipelining today does not result in as significant a performance gain as it might at first seem to offer (except over high latency links like satellite or dial-up, which are rapidly dwindling in usage). But that may very well be a good thing. As miscreants have become smarter and more intelligent about exploiting protocols and not just application code, they’ve learned to take advantage of the protocol to “trick” servers into believing their requests are legitimate, even though the desired result is usually malicious. In the case of pipelining, it would be a simple thing to exploit the capability to enact a layer 7 DoS attack on the server in question. Because pipelining assumes that requests will be sent one after the other and that the client is not waiting for the response until the end, it would have a difficult time distinguishing between someone attempting to consume resources and a legitimate request. Consider that the server has no understanding of a “page”. It understands individual requests. It has no way of knowing that a “page” consists of only 50 objects, and therefore a client pipelining requests for the maximum allowed – by default 100 for Apache – may not be seen as out of the ordinary. Several clients opening connections and pipelining hundreds or thousands of requests every second without caring if they receive any of the responses could quickly consume the server’s resources or available bandwidth and result in a denial of service to legitimate users. So perhaps the fact that pipelining is not really all that useful to most folks is a good thing, as server administrators can disable the feature without too much concern and thereby mitigate the risk of the feature being leveraged as an attack method against them. Pipelining as it is specified and implemented today is more of a security risk than it is a performance enhancement. There are, however, tweaks to the specification that could be made in the future that might make it more useful. Those tweaks do not address the potential security risk, however, so perhaps given that there are so many other optimizations and acceleration techniques that can be used to improve performance that incur no measurable security risk that we simply let sleeping dogs lie. IMAGES COURTESTY WIKIPEDIA COMMONS8 things you can do with a proxy
After having recently discussed all the different kinds of proxies that exist, it occurred to me that it might be nice to provide some examples of what you can do with proxies besides the obvious web filtering scenario. This is by no means an exhaustive list, but is provided to show some of the more common (and cool, I think) uses of proxies. What's really awesome is that while some of these uses are available with only one type of proxy (reverse or forward), a full proxy can provide all these uses, and more, in a single, unified application delivery platform. 1. DATA SCRUBBING Data scrubbing is the process of removing sensitive information like credit card and social security numbers from web application responses. This is particularly useful in preventing data leaks, especially if you're subject to regulations like SOX, HIPPA, and PCI DSS where the penalties for divulging personally identifiable information can be harsh fines - or worse. Data scrubbing is is an implementation of a reverse proxy. 2. URL REWRITING Rewriting URLs is something everyone has likely had to do at one time or another if they've developed a web application. URL rewriting is used to refer web requests to new resources instead of sending out a redirect response in cases where resources have moved, renamed, or migrated to a new version. URL rewriting is an implementation of a reverse proxy. 3. LAYER 7 SWITCHING Layer 7 switching provides an organization with the ability to maximize their IP address space as well as architect a more efficient, better performing application architecture. Layer 7 switching routes specific web requests to different servers based on information in the application layer, like HTTP headers or application data. Layer 7 switching is an implementation of a reverse proxy. 4. CONTENT FILTERING The most common use of proxies is content filtering. Generally, content filtering allows or rejects requests for content based on organizational policies regarding content type, the existence of specific keywords, or based on the site itself. Content filtering is an implementation of a forward proxy. 5. REDIRECTION Redirection is the process of, well, redirecting a browser to a new resource. This could be a new instance of a requested resource or as part of application logic such as redirecting a failed login to the proper page. Redirection is generally implemented by a reverse proxy, but can also be implemented by a forward proxy as a means of redirecting rejected requests to an explanation page. 6. LOAD BALANCING Load balancing is one of the most common uses of a reverse proxy. Load balancing distributes requests for resources across a number of servers in order to provide scalability and availability services. Load balancing is an implementation of a reverse proxy. 7. APPLICATION FIREWALL An application firewall provides a number of functions including some in this list (data scrubbing and redirection). An application firewall sits in front of web applications and inspects requests for malicious content and attempts to circumvent security. An application firewall is an implementation of a reverse proxy. 8. PROTOCOL SECURITY Protocol security is the ability of a proxy to enforce protocol specifications on requests and responses in order to provide additional security at all layers of the OSI stack. Protocol security provides an additional layer of security atop traditional security mechanisms that focus on data. Protocol security is an implementation of a reverse proxy.Clickjacking Protection Using X-FRAME-OPTIONS Available for Firefox
But browser support is only half the solution, don’t forget to implement the server-side, too. Clickjacking, unlike more well-known (and understood) web application vulnerabilities, has been given scant amount of attention despite its risks and its usage. Earlier this year, for example, it was used as an attack on Twitter, but never really discussed as being a clickjacking attack. Maybe because aside from rewriting applications to prevent CSRF (adding nonces and validation of the same to every page) or adding framekillers there just haven’t been many other options to prevent the attack technique from being utilized against users. Too, it is one of the more convoluted attack methods out there so it would be silly to expect non-technical media to understand it let alone explain how it works to their readers. There is, however, a solution on the horizon. IE8 has introduced an opt-in measure that allows developers – or whomever might be in charge of network-side scripting implementations – to prevent clickjacking on vulnerable pages using a custom HTTP header to prevent them from being “framed” inappropriately: X-FRAME-OPTIONS. The behavior is described in the aforementioned article as: If the X-FRAME-OPTIONS value contains the token DENY, IE8 will prevent the page from rendering if it will be contained within a frame. If the value contains the token SAMEORIGIN, IE will block rendering only if the origin of the top level-browsing-context is different than the origin of the content containing the X-FRAME-OPTIONS directive. For instance, if http://shop.example.com/confirm.asp contains a DENY directive, that page will not render in a subframe, no matter where the parent frame is located. In contrast, if the X-FRAME-OPTIONS directive contains the SAMEORIGIN token, the page may be framed by any page from the exact http://shop.example.com origin. But that’s only IE8, right? Well, natively, yes. But a development version of NoScript has been released that supports the X-FRAME-OPTIONS header and will provide the same protections as are natively achieved in IE8. The problem is that this is only half the equation: the X-FRAME-OPTIONS header needs to exist before the browser can act on it and the preventive measure for clickjacking completed. As noted in the Register, “some critics have contended the protection will be ineffective because it will require millions of websites to update their pages with proprietary code.” That’s not entirely true as there is another option that will provide support for X-FRAME-OPTIONS without updating pages/applications/sites with proprietary code: network-side scripting. The “proprietary” nature of custom HTTP headers is also debatable, as support for Firefox was provided quickly via NoScript and if the technique is successful will likely be adopted by other browser creators. HOW-TO ADD X-FRAME-OPTIONS TO YOUR APPLICATION – WITH or WITHOUT CODE CHANGES Step 1: Add the custom HTTP header “X-FRAME-OPTIONS” with a value of “DENY” or “SAMEORIGIN” before returning a response to the client Really, that’s it. The browser takes care of the rest for you. OWASP has a great article on how to implement a ClickjackFilter for JavaEE and there are sure to be many more blogs and articles popping up describing how one can implement such functionality in their language-of-choice. Even without such direct “how-to” articles and code samples, it is merely a matter of adding a new custom HTTP header – examples of which ought to be easy enough to find. Similarly a solution can be implemented using network-side scripting that requires no modification to applications. In fact, this can be accomplished via iRules in just one line of code: when HTTP_RESPONSE { HTTP::header insert "X-FRAME-OPTIONS" “(DENY || SAMEORIGIN)”} I believe the mod_rewrite network-side script would be as simple, but as I am not an expert in mod_rewrite I will hope someone who is will leave an appropriate example as a comment or write up a blog/article and leave a pointer to it. A good reason to utilize the agility of network-side scripting solutions in this case is that it is not necessary to modify each application requiring protection, which takes time to implement, test, and deploy. An even better reason is that a single network-side script can protect all applications, regardless of language and deployment platform, without a lengthy development and deployment cycle. Regardless of how you add the header, it would be a wise idea to add it as a standard part of your secure-code deployment requirements (you do have those, don’t you?) because it doesn’t hurt anything for the custom HTTP header to exist and visitors using X-FRAME-OPTIONS enabled browsers/solutions will be a lot safer than without it. Stop brute force listing of HTTP OPTIONS with network-side scripting Jedi Mind Tricks: HTTP Request Smuggling I am in your HTTP headers, attacking your application Understanding network-side scripting 9 ways to use network-side scripting to architect faster, scalable, more secure applicationsTrue or False: Application acceleration solutions teach developers to write inefficient code
It has been suggested that the use of application acceleration solutions as a means to improve application performance would result in programmers writing less efficient code. In a comment on “The House that Load Balancing Built” a reader replies: Not only will it cause the application to grow in cost and complexity, it's teaching new and old programmers to not write efficient code and rely on other products and services on [sic] thier behalf. I.E. Why write security into the app, when the ADC can do that for me. Why write code that executes faster, the ADC will do that for me, etc., etc. While no one can control whether a programmer writes “fast” code, the truth is that application acceleration solutions do not affect the execution of code in any way. A poorly constructed loop will run just as slow with or without an application acceleration solution in place. Complex mathematical calculations will execute with the same speed regardless of the external systems that may be in place to assist in improving application performance. The answer is, unequivocally, that the presence or lack thereof of an application acceleration solution should have no impact on the application developer because it does nothing to affect the internal execution of written code. If you answered false, you got the answer right. The question has to be, then, just what does an application acceleration solution do that improves performance? If it isn’t making the application logic execute faster, what’s the point? It’s a good question, and one that deserves an answer. Application acceleration is part of a solution we call “application delivery”. Application delivery focuses on improving application performance through optimization of the use and behavior of transport (TCP) and application transport (HTTP/S) protocols, offloading certain functions from the application that are more efficiently handled by an external often hardware-based system, and accelerating the delivery of the application data. OPTIMIZATION Application acceleration improves performance by understanding how these protocols (TCP, HTTP/S) interact across a WAN or LAN and acting on that understanding to improve its overall performance. There are a large number of performance enhancing RFCs (standards) around TCP that are usually implemented by application acceleration solutions. Delayed and Selective Acknowledgments (RFC 2018) Explicit Congestion Notification (RFC 3168) Limited and Fast Re-Transmits (RFC 3042 and RFC 2582) Adaptive Initial Congestion Windows (RFC 3390) Slow Start with Congestion Avoidance (RFC 2581) TCP Slow Start (RFC 3390) TimeStamps and Windows Scaling (RFC 1323) All of these RFCs deal with TCP and therefore have very little to do with the code developers create. Most developers code within a framework that hides the details of TCP and HTTP connection management from them. It is the rare programmer today that writes code to directly interact with HTTP connections, and even rare to find one coding directly at the TCP socket layer. The execution of code written by the developer takes just as long regardless of the implementation or lack of implementation of these RFCs. The application acceleration solution improves the performance of the delivery of the application data over TCP and HTTP which increases the performance of the application as seen from the user’s point of view. OFFLOAD Offloading compute intensive processing from application and web servers improves performance by reducing the consumption of CPU and memory required to perform those tasks. SSL and other encryption/decryption functions (cookie security, for example) are computationally expensive and require additional CPU and memory on the server. The reason offloading these functions to an application delivery controller or stand-alone application acceleration solution improves application performance is because it frees the CPU and memory available on the server and allows it to be dedicated to the application. If the application or web server does not need to perform these tasks, it saves CPU cycles that would otherwise be used to perform them. Those cycles can be used by the application and thus increases the performance of the application. Also beneficial is the way in which application delivery controllers manage TCP connections made to the web or application server. Opening and closing TCP connections takes time, and the time required is not something a developer – coding within a framework – can affect. Application acceleration solutions proxy connections for the client and subsequently reduce the number of TCP connections required on the web or application server as well as the frequency with which those connections need to be open and closed. By reducing the connections and frequency of connections the application performance is increased because it is not spending time opening and closing TCP connections, which are necessarily part of the performance equation but not directly affected by anything the developer does in his or her code. The commenter believes that an application delivery controller implementation should be an afterthought. However, the ability of modern application delivery controllers to offload certain application logic functions such as cookie security and HTTP header manipulation in a centralized, optimized manner through network-side scripting can be a performance benefit as well as a way to address browser-specific quirks and therefore should be seriously considered during the development process. ACCELERATION Finally, application acceleration solutions improve performance through the use of caching and compression technologies. Caching includes not just server-side caching, but the intelligent use of the client (usually the browser) cache to reduce the number of requests that must be handled by the server. By reducing the number of requests the server is responding to, the web or application server is less burdened in terms of managing TCP and HTTP sessions and state, and has more CPU cycles and memory that can be dedicated to executing the application. Compression, whether using traditional industry standard web-based compression (GZip) or WAN-focused data de-duplication techniques, decreases the amount of data that must be transferred from the server to the client. Decreasing traffic (bandwidth) results in fewer packets traversing the network which results in quicker delivery to the user. This makes it appear that the application is performing faster than it is, simply because it arrived sooner. Of all these techniques, the only one that could possibly contribute to the delinquency of developers is caching. This is because application acceleration caching features act on HTTP caching headers that can be set by the developer, but rarely are. These headers can also be configured by the web or application server administrator, but rarely are in a way that makes sense because most content today is generated dynamically and is rarely static, even though individual components inside the dynamically generated page may in fact be very static (CSS, JavaScript, images, headers, footers, etc…). However, the methods through which caching (pragma) headers are set is fairly standard and the actual code is usually handled by the framework in which the application is developed, meaning the developer ultimately cannot affect the efficiency of the use of this method because it was developed by someone else. The point of the comment was likely more broad, however. I am fairly certain that the commenter meant to imply that if developers know the performance of the application they are developing will be accelerated by an external solution that they will not be as concerned about writing efficient code. That’s a layer 8 (people) problem that isn’t peculiar to application delivery solutions at all. If a developer is going to write inefficient code, there’s a problem – but that problem isn’t with the solutions implemented to improve the end-user experience or scalability, it’s a problem with the developer. No technology can fix that.Load Balancing on the Inside
Business critical internal processing systems often require high-availability and fault tolerance, too. Load balancing and application delivery is almost always associated with scaling out interactive, web-based applications. Rarely does anyone think about load balancing and application delivery in batch processing systems even when those systems might be critical to the business they are supporting. But scaling out non-interactive processing systems and providing high-availability to such critical systems is just as easily accomplished for an application delivery controller (ADC) as it is to scale out an interactive web-based application. Maybe easier. When that system also requires a bit more intelligence than just simple load balancing, it makes a lot of sense to look closer at a context-aware system that can support all the requirements in a single solution. THE SCENARIO A batch document processing system uses a document ID to match all related documents to the same “case.” The first time a document ID is encountered, it creates a new “case” and subsequent documents bearing that ID are attached to the original case. To ensure processing around the clock, a redundant set of application servers is configured to process the documents, and the vendor’s application server clustering solution is used to load balance documents (in simple round-robin fashion) across the two instances. A load test is conducted, ramping up to 2500 documents per hour (41 per minute, fewer than 1 per second). During the test it is discovered that in some situations two documents with the same ID will arrive at the clustering solution in order. They will each be load balanced to separate instances. There is no existing “case” for this document id. Because of processing times and load on the servers, both documents result in the creation of separate “cases.” The test is considered a failure. Because the system, while managing the load fine from a network perspective, executed incorrectly under load from a process perspective. The solution? Reconfigure the clustering solution to an active-standby configuration, thus introducing the process latency needed to ensure that the scenario does not occur. Retest. Success. The result? The investment in the second instance of the application server – hardware, software licenses, management, maintenance – is wasted. It is a “failover” node only and reduces the overall capacity – and ultimately performance at higher load levels – of the system. WHEN CONTEXT MATTERS This scenario is real; it was described to me by a program manager at a Fortune 500 with a great deal of frustration as it seemed, to her anyway, that the architects could not come up with a working solution other than wasting a perfectly good set of resources. Instinctively she described a solution that leveraged persistence to force all documents with the same ID to the same server as it had been proven repeatedly that if all documents with the same ID were processed by the same application server that the system processed them correctly and associated them with the right “case” in all situations. But the application server clustering solution, which can provide server affinity (persistence) based on a few variables, was for some reason not able to support affinity (persistence) based on the document ID. After a few questions regarding the overall system and processing times it became clear that a context-aware application delivery controller could indeed solve this problem. The solution is fairly simple, actually, and based on existing persistence-based load balancing solutions. It is a given that documents with the same ID are batch processed within minutes of each other. Thus, a persistence table with a life of an hour or even thirty-minutes would provide the proper context in which documents could be processed and directed to the “right” web application server. This requires context; it requires that the load balancing solution, the application delivery controller, be aware of not only what it is processing but what it has processed already, and where it’s been sent. Document ID Based Persistence Logic Extract the document ID from the document Check the persistence table for the document ID If the document ID already exists, route the document to the same server as the previous document(s) with that ID If the document ID does not exist, decide which server the document will be sent to for processing and create an entry in the persistence table Wash. Rinse. Repeat. This problem is really about process level execution; about enforcing a business requirement on the technological implementation. In order to achieve compliance with the business process expectations it is necessary to be able to view each request in the context of that process rather than as an individual request that needs to be executed. Thus each touch point in the architecture that needs to manipulate, transform, or perform some task with or on or to the request needs to be able to take into consideration the process; it needs to be context-aware so that its decisions are made within the context of the entire process and not just the individual request. Layer 7 switching, application load balancing, application delivery. Whatever you want to call it, it is the way in which load balancing becomes context-aware and becomes collaborative. It enables the business requirements to be not only taken into consideration but enforced while ensuring that CapEx and OpEx investments in additional systems are not left to sit idle; wasted. It improves capacity essentially by introducing process latency into the equation. By forcing the process to follow a particular path the application delivery controller assists in the technological implementation meeting the goals of the business. In order words, it aligns IT with the business. Sometimes the marketing fluff is more solid than it appears. To Boldly Go Where No Production Application Has Gone Before WILS: Network Load Balancing versus Application Load Balancing Sessions and Cookies and Persistence, oh my! Persistent and Persistence, What's the Difference? If Load Balancers Are Dead Why Do We Keep Talking About Them? A new era in application delivery Infrastructure 2.0: The Diseconomy of Scale Virus The Politics of Load Balancing Business-Layer Load Balancing Not all application requests are created equal
