How to get a sticky load balancer in Windows Azure #load #balancer #big #ip

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Windows Azure has a load balancer that you can use for free. It is used mostly to load balance port 80 (aka web traffic) across a group of identically configured web servers, although it can be used to load balance any TCP/UDP port. It is not a sticky load balancer.

Most load balancers in the corporate world have a setting called ‘sticky sessions.’ This feature will route a user back to the same web server over and over again. This is done with performance in mind. People think that if the same user goes to the same server, the application will run faster because their data is probably cached on that particular server.

I think this is a fallacy in most cases, and that sticky sessions in a load balancer is a bad smell hinting at some rotting architecture. When I see sticky sessions somewhere, it is usually because of one of the following is true:

To me this is a big crime in and of itself. You should not be using session state, and if you are, it must be kept to a minimum. Session state turns out to be a huge crutch that helps people get their heads around how the web is truly stateless. You will see this most often with people that don’t understand the web at a low level, and probably spent their early part of their careers architecting client/server applications. Or they are just lazy.

The second half to this first problem is that they aren’t sharing said evil session state across their servers. For crying out loud people! If you insist on having session state, please for the love of binary share that state amongst your servers.

This sharing is easy to do with the variety of providers available to you, most are ‘out of the box’. Sharing state means that ASP.NET will read/write the state to a central location, instead of the in-process on box memory. For example, you can share it in a SQL box, or in off box memory. You can share it in Azure storage, or even AppFabric. You can share it with a box. You can share it with a Fox. Ok, not a fox. All by easily changing a line of configuration in your application.

Avoid bloated session state, and share with your friends.

If you are sharing your state amongst the web server group, then you don’t need a sticky load balancer, since no matter which server the user goes to they can get their state.

2. They are trying to shoehorn a stateful application into the web

The web isn’t stateful. Embrace it and move on. Every time a browser makes a connection to a web server it’s starting from scratch. In a natural call (without any crutches) all the server has to go on is the user agent info (browser type, ip address, etc.) and the contents of the requested URL. That’s it.

Over the years, especially early on, our industry has adapted several crutches to help get us around this statelessness that bothers us so. All of them have lead to horror when over used, so a light touch goes a long way. Those are namely session state (see above) and cookies.

Cookies are in some ways the same as session state. They save state for the application between calls. But instead of the storing the state on the server, it is stored on the client. Many people wave this off. “Oh, it’s not state, just some bits of data.”

The Real Problem

The real problem with sticky sessions is that it leads to fragility in your web cluster/farm/group/collective. If user A is always going to Server x, and all of their evil state, and data is on that server, then you have introduced a single dependency on your user. All of our infrastructure efforts always lead us to high availability and reliability. This sticky load balancer throws it’s hat in our faces and says, with an outrageous accent, “I don’t think so!”

All of a sudden, all of our hard work in building our web farm is thrown out the window because of some lazy architecture decisions. Your group of super servers is reduced to a simple group of individual servers.

When that one server does go offline (and it will because failure happens, embrace it) you will lose all those users. They will lost their state, and data. They will hit that button on their screen, and when the browser round trips and refreshes (because if you’re doing this, you likely aren’t doing SPA) the browser will return an error. That person won’t get their star trek pizza cutter, will have a bad experience, and their day will spiral out of control. They will go home and likely kick their neighbors dog. All because you used a sticky load balancer. Note: please do not kick anyone’s dog.

A secondary issue is load leveling. A great use of a load balancer that many people aren’t aware of is sarcasm that it can level the load /sarcasm across several servers. In a sticky LB scenario, it is easy for server x to get really busy, while server n is lonely and sits idle and unused. This always leads to resentment on the part of the server doing all the work, so try to avoid this.

If you were running your load balancer in a normal way, your users and their requests would be flooding evenly (fairly so anyway) across all of those web servers you paid for, giving the user a great experience. A server could go down, and the users work would be picked up by any of the other servers on the next trip. Boom goes the dynamite.

Do you really hate state?

I didn’t mean for this post to turn into a hate piece on state (session or cookie). I will soon get to why I wrote this post, but I wanted to get off my chest how I have seen state be abused before. Like I mentioned above, I don’t think you are evil for using it. An experienced and critically thinking developer who knows when to break the rules is allowed to break the rules.

So, what does this have to do with Windows Azure?

Good question my good man! In Windows Azure, the load balance we started talking about is a non-sticky load balancer. Yes, if you start up the local simulator, and try some tests you won’t see that happening. If you start up a group of web roles in Cloud Services, and try hitting F5 really fast in IE you won’t see balancing either.

That’s because there is some intelligence in the balancer, and because you can’t cause enough traffic with your own keyboard. Nor my super awesome-backlit-mechanical-Cherry-MX-red-switch-keyboard-that-the-neighbors-can-hear-when-I-am-typing-keyboard.

But, some people NEED a sticky balancer. They just NEED it. Either they are migrating something that is built that way, and they just can’t make the investment to fix it yet, or… that’s the only reason I can come up with.

So, here is you escape hatch, IIS Application Request Routing. ARR adds a layer of load balancing in software at the server level, instead of lower down the network stack. This lets it use some intelligence as to what the software is doing.

The IIS ARR can be used on-premises, or in Windows Azure. Basically your front-end your application with servers running ARR. Officially, ARR is:

“IIS Application Request Routing (ARR) 2.5 enables Web server administrators, hosting providers, and Content Delivery Networks (CDNs) to increase Web application scalability and reliability through rule-based routing, client and host name affinity, load balancing of HTTP server requests, and distributed disk caching. With ARR, administrators can optimize resource utilization for application servers to reduce management costs for Web server farms and shared hosting environments.”

So, if you need sticky load balancing, or maybe some smarter session routing in your application, either on-premises, or in the cloud, check out ARR. You can read all about it at the IIS website.

ARR also has some great caching features included as well. ARR Cache would be a good alternative to AppFabric cache, if you don’t want to run that.

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What Is Elastic Load Balancing? Elastic Load Balancing #load #balancing #in #networking

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What Is Elastic Load Balancing?

Elastic Load Balancing distributes incoming application traffic across multiple EC2 instances, in multiple Availability Zones. This increases the fault tolerance of your applications.

The load balancer serves as a single point of contact for clients, which increases the availability of your application. You can add and remove instances from your load balancer as your needs change, without disrupting the overall flow of requests to your application. Elastic Load Balancing scales your load balancer as traffic to your application changes over time, and can scale to the vast majority of workloads automatically.

You can configure health checks, which are used to monitor the health of the registered instances so that the load balancer can send requests only to the healthy instances. You can also offload the work of encryption and decryption to your load balancer so that your instances can focus on their main work.

Features of Elastic Load Balancing

Elastic Load Balancing supports two types of load balancers: Application Load Balancers and Classic Load Balancers. Choose the load balancer type that meets your needs.

Classic Load Balancer

† Cross-zone load balancing is always enabled for an Application Load Balancer. For a Classic Load Balancer, it is disabled by default, but can be enabled and disabled as needed.

† † For an Application Load Balancer, you can specify the HTTP codes that indicate a successful health check response. An Application Load Balancer returns improved information about the cause of health check failures.

For more information about Application Load Balancers, see the Application Load Balancer Guide. For more information about Classic Load Balancers, see the Classic Load Balancer Guide.

Accessing Elastic Load Balancing

You can create, access, and manage your load balancers using any of the following interfaces:

AWS Management Console — Provides a web interface that you can use to access Elastic Load Balancing.

AWS Command Line Interface (AWS CLI) — Provides commands for a broad set of AWS services, including Elastic Load Balancing, and is supported on Windows, Mac, and Linux. For more information, see AWS Command Line Interface.

AWS SDKs — Provides language-specific APIs and takes care of many of the connection details, such as calculating signatures, handling request retries, and error handling. For more information, see AWS SDKs.

Query API — Provides low-level API actions that you call using HTTPS requests. Using the Query API is the most direct way to access Elastic Load Balancing, but it requires that your application handle low-level details such as generating the hash to sign the request, and error handling. For more information, see the following:

Related Services

Elastic Load Balancing works with the following services to improve the availability and scalability of your applications.

Amazon EC2 — Virtual servers that run your applications in the cloud. You can configure your load balancer to route traffic to your EC2 instances. For more information, see the Amazon EC2 User Guide for Linux Instances or the Amazon EC2 User Guide for Windows Instances.

Amazon ECS — Enables you to run, stop, and manage Docker containers on a cluster of EC2 instances. You can configure your load balancer to route traffic to your containers. For more information, see the Amazon EC2 Container Service Developer Guide.

Auto Scaling — Ensures that you are running your desired number of instances, even if an instance fails, and enables you to automatically increase or decrease the number of instances as the demand on your instances changes. If you enable Auto Scaling with Elastic Load Balancing, instances that are launched by Auto Scaling are automatically registered with the load balancer, and instances that are terminated by Auto Scaling are automatically de-registered from the load balancer. For more information, see the Auto Scaling User Guide.

Amazon CloudWatch — Enables you to monitor your load balancer and take action as needed. For more information, see the Amazon CloudWatch User Guide.

Amazon Route 53 — Provides a reliable and cost-effective way to route visitors to websites by translating domain names (such as www.example.com ) into the numeric IP addresses (such as 192.0.2.1 ) that computers use to connect to each other. AWS assigns URLs to your resources, such as load balancers. However, you might want a URL that is easy for users to remember. For example, you can map your domain name to a load balancer. For more information, see the Amazon Route 53 Developer Guide.

Pricing

For more information, see the following pricing pages:


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Load balancing with layer 7 or layer 4 – Stack Overflow #layer # #load #balancing

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I guess this could be a very strong discussion and anyway it’s not related to programming but.

The difference between them is where (which OSI layer) you do the balancing. In my opinion you should never do balancing only on layer 7 (then you should always use the layer 4).

Why? Layer 7 load balancing is good because you do not need any special hardware for it, it’s done at application level, but you pay this with many many other drawbacks:

  • Performances are not so good: load balancer will have to keep track of cookies and sessions (when needed), for this you will need a more powerful hardware. The right way should be to let the application to manage this properly. To override this you’ll need a more powerful hardware.
  • The load is distributed across servers but it’s not easy to have a true load balancing. Very often it’s simply something injected in the DNS server then it doesn’t have a true knowledge of how much a server is busy (imagine you have one intensive and two lightweight operations to dispatch to two servers, round robin may assign one intensive and one lightweight to the same server when the best could be assign both lightweight to the same server).
  • They are not scalable at all (they have to manage what your application should manage) and it’ll waste a lot of resources.

Why they are good? They could be a quick, easy, dirty solution to patch a non scalable application (for layer 4 balancing your ASP.NET application should be scalable by itself). They could be a temporary solution to a contingent problem, not The Solution. In the real world the layer 4 load balancing is preferred (and sometimes mixed with layer 7 balancing, Google for example uses a first level round robin dns load balancing).

Something I found funny, here (about advantages of layer 7 load balancing) they say:

While the use cases are still fairly limited, this functionality of layer 7 load balancing does open up many possibilities for future use. As this technology evolves, we will gain the ability to balance additional types of traffic more intelligently.

If use cases (of these advantages) are “still fairly limited ” and we have to wait that “as this technology evolves ” then I do not see any reason to base NOW any load balancing solution only on layer 7 (moreover it’s something really easy to add in any moment in the future).

Layer 4 load balancers act upon data found in network and transport layer protocols (IP, TCP, FTP, UDP).

Layer 7 load balancers distribute requests based upon data found in application layer protocols such as HTTP. It can also distribute requests based on specific data like HTTP headers, cookies, or data within the specific parameter of http.

So layer 4 load balancer is tcp load balancer, whereas layer 7 load balancer is http load balancer.


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Comparing Load Balancing Algorithms #round-robin #load #balancing

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Managed File Transfer and Network Solutions

Overview

So your load balancer supports multiple load balancing algorithms but you don’t know which one to pick? You will in a minute.

In this post, we compare 5 common load balancing algorithms, highlighting their main characteristics and pointing out where they’re best and not well suited for. Let’s begin.

Prefer to watch a video version of this post instead? Click or tap to play.

Round Robin

Round Robin is undoubtedly the most widely used algorithm. It’s easy to implement and easy to understand. Here’s how it works. Let’s say you have 2 servers waiting for requests behind your load balancer. Once the first request arrives, the load balancer will forward that request to the 1st server. When the 2nd request arrives (presumably from a different client), that request will then be forwarded to the 2nd server.

Because the 2nd server is the last in this cluster, the next request (i.e. the 3rd) will be forwarded back to the 1st server, the 4th request back to the 2nd server, and so on, in a cyclical fashion.

As you can see, the method is very simple. However, it won’t do well in certain scenarios.

For example, what if Server 1 had more CPU, RAM, and other specs compared to Server 2? Server 1 should be able to handle a higher workload than Server 2, right?

Unfortunately, a load balancer running on a round robin algorithm won’t be able to treat the two servers accordingly. In spite of the two servers’ disproportionate capacities, the load balancer will still distribute requests equally. As a result, Server 2 can get overloaded faster and probably even go down. You wouldn’t want that to happen.

The Round Robin algorithm is best for clusters consisting of servers with identical specs. For other situations, you might want to look at other algorithms, like the ones below.

Weighted Round Robin

For the 2nd scenario mentioned above, i.e. Server 1 having higher specs than Server 2, you might prefer an algorithm that assigns more requests to the server with a higher capability of handling greater load. One such algorithm is the Weighted Round Robin.

The Weighted Round Robin is similar to the Round Robin in a sense that the manner by which requests are assigned to the nodes is still cyclical, albeit with a twist. The node with the higher specs will be apportioned a greater number of requests.

But how would the load balancer know which node has a higher capacity? Simple. You tell it beforehand. Basically, when you set up the load balancer, you assign “weights” to each node. The node with the higher specs should of course be given the higher weight.

You usually specify weights in proportion to actual capacities. So, for example, if Server 1’s capacity is 5x more than Server 2’s, then you can assign it a weight of 5 and Server 2 a weight of 1.

So when clients start coming in, the first 5 will be assigned to node 1 and the 6th to node 2. If more clients come in, the same sequence will be followed. That is, the 7th, 8th, 9th, 10, and 11th will all go to Server1, and the 12th to Server 2, and so on.

Capacity isn’t the only basis for choosing the Weighted Round Robin (WRR) algorithm. Sometimes, you’ll want to use it if say you want one server to get a substantially lower number of connections than an equally capable server for the reason that the first server is running business-critical applications and you don’t want it to be easily overloaded.

Least Connections

There can be instances when, even if two servers in a cluster have exactly the same specs (see first example/figure), one server can still get overloaded considerably faster than the other. One possible reason would be because clients connecting to Server 2 stay connected much longer than those connecting to Server 1.

This can cause the total current connections in Server 2 to pile up, while those of Server 1 (with clients connecting and disconnecting over shorter times) would virtually remain the same. As a result, Server 2’s resources can run out faster. This is depicted below, wherein clients 1 and 3 already disconnect, while 2, 4, 5, and 6 are still connected.

In situations like this, the Least Connections algorithm would be a better fit. This algorithm takes into consideration the number of current connections each server has. When a client attempts to connect, the load balancer will try to determine which server has the least number of connections and then assign the new connection to that server.

So if say (continuing our last example), client 6 attempts to connect after 1 and 3 have already disconnected but 2 and 4 are still connected, the load balancer will assign client 6 to Server 1 instead of Server 2.

Weighted Least Connections

The Weighted Least Connections algorithm does to Least Connections what Weighted Round Robin does to Round Robin. That is, it introduces a “weight” component based on the respective capacities of each server. Just like in the Weighted Round Robin, you’ll have to specify each server’s “weight” beforehand.

A load balancer that implements the Weighted Least Connections algorithm now takes into consideration two things: the weights/capacities of each server AND the current number of clients currently connected to each server.

Random

As its name implies, this algorithm matches clients and servers by random, i.e. using an underlying random number generator. In cases wherein the load balancer receives a large number of requests, a Random algorithm will be able to distribute the requests evenly to the nodes. So like Round Robin, the Random algorithm is sufficient for clusters consisting of nodes with similar configurations (CPU, RAM, etc).

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Front Load Washers – Speed Queen – Home Laundry Equipment #load #balancing #appliance

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Front Load Washer

EXTREME-TESTED
ELECTRONIC CONTROLS

Many washers and dryers have “touch panel” controls. But, none have an industry-best five-year warranty backing them up like Speed Queen does. Our control panels are designed and manufactured to last 25 years and we back that up with rigorous testing to make sure our circuitry stands up to extreme moisture, temperature, vibration and power surges. So go ahead and push our buttons. You’ll experience the quality, dependability and durability we build into every Speed Queen machine.

Dynamic Balancing Technology

Possibly the greatest thing to happen to washing machines since the electric motor, Dynamic Balancing Technology is revolutionizing your expectations of front load washers. This groundbreaking technology uses sensing and algorithms to virtually eliminate vibration. The result is less residual moisture in your clothes, faster cycles, faster dry times and operation so silent, you’ll want to check to make sure it’s still running perfect for first- or second-floor laundry rooms.

Washability

Times change. Dirt doesn’t. As the experts in clean, we’ve been designing and building laundry equipment to clean clothes better and faster since 1908. Speed Queen front load washers feature patent-pending baffles and ideal tumble rhythms to perfectly lift your laundry and cascade water throughout the entire load, delivering the best possible clean.

Slide handle to see Speed Queen washability.

Durability

Built Better to Last Longer

Speed Queen front load washers are designed, tested and built to deliver 25 years of commercial-grade performance in your home. In fact, the Speed Queen front load washers that you put in your home are the same durable, long-lasting washing machines used in laundromats and other commercial applications, like hotels and military bases. Constructed with metal components where others use plastic and rigorously tested to ensure reliable performance, Speed Queen front load washers are built better to last longer.

Click and drag over machine to view its interior.

How long will your Speed Queen washer last?

How long will your Speed Queen washer last?

Warranty

THE LONGEST LASTING WASHERS WITH A WARRANTY TO MATCH

The best front load washer on the market also comes with the best warranty. Our industry-best 5-year warranty covers all parts and in-home labor on electronic control models*. That’s right. We stand behind both our product and your purchase.

Lifetime warranty on the stainless steel wash basket and outer drain tub.

*For complete warranty information, please review your warranty bond.

American Quality

Speed Queen washers and dryers are built on the same principles that built America. Proudly headquartered in Ripon, Wisconsin, for more than a century with more than 1,600 dedicated employees and more than 2,700 independent dealers across the country, we’re committed to American quality.

American Quality

There are certain indelible traits that make America what it is, like strength, leadership and quality. And these characteristics do more than define America—they define American products. The first Speed Queen ® laundry machine was built in Ripon, Wisconsin, in 1908, and we’ve been proudly headquartered there ever since. In fact, we’ve never produced home laundry equipment from anywhere else. It’s where we developed our Midwestern work ethic of putting quality before all else. It’s where more than 1,600 dedicated employees work side by side to deliver on our promise of customer satisfaction without exception. And it’s where the long-lasting machines sold by independent appliance dealers across the nation are born. Built better to last longer. It’s the American way.

More than 1,600 Dedicated Employees Made with a midwestern Work Ethic 2,700+ Independent Dealers Built Better To Last Longer

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What customers are saying


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Zeus load balancer #zeus #load #balancer

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iPhone / iPad mit mehreren Computern synchronisieren so geht s

Wie ihr sicherlich alle wisst, verheiraten sich das iPhone oder das iPad mit einem Computer und das Synchronisieren via iTunes kann folglich auch nur noch mit diesem Hauptcomputer vorgenommen werden. Dies empfand ich wie viele andere schon seit jeher als nervig und habe mich auf die Suche nach einer Lösung gemacht, um meine iDevices mit dem Desktop und auch mit dem Notebook synchronisieren zu können.

Hier findet ihr nun eine Anleitung um ein iPhone oder iPad mit mehreren Computern synchronisieren zu können:

Anleitung für Mac
Ganz wichtig: Zuerst solltet ihr euer iPhone bzw. iPad wie bisher mit iTunes synchronisieren, um im Fall der Fälle ein aktuelles Backup zu haben. Man weiß ja nie, ob beim ein oder anderen nicht doch etwas schief gehen kann und somit seid ihr in jedem Fall auf der sicheren Seite.

Danach müsst ihr auf dem Computer, mit dem bisher das Gerät synchronisiert wurde, in das Verzeichnis eurer iTunes Bibliothek wechseln (normalerweise in eurem Musik Ordner). In diesem befindet sich eine Datei namens iTunes Music Library.xml . Diese öffnet ihr mit einem beliebigen Texteditor und sucht darin nach der Library Persistent ID . Kopiert nun eure 16-stellige ID (siehe Bild) an einen sicheren Ort, oder schreibt sie auf einen Zettel auf.

Auf dem neuen Computer
Stellt zunächst sicher, dass iTunes beendet ist und wechselt dann ebenfalls in das Verzeichnis der iTunes Bibliothek. Legt nun ein Backup der Dateien iTunes Library.itl und iTunes Music Library.xml an. Danach befolgt ihr genau die selben Schritte wie zuvor: iTunes Music Library.xml im Texteditor öffnen, nach der ID suchen und diese kopieren bzw. abschreiben. Darauf ersetzt ihr die Library Persistent ID auf dem neuen Computer durch die von eurem Hauptrechner.

Nun geht es ans Eingemachte: Ihr benötigt einen Hex-Editor. Da meine letzte Hex-Editor Nutzung wohl 10-15 Jahre zurück liegt, musste ich auch erst danach suchen. Für den Mac könnt ihr HexEdit verwenden.

Ihr öffnet als nächstes die Datei iTunes Library.itl mit eben diesem Hex-Editor und sucht nach der Library Persistent ID. die an 2. Stelle auf eurem Zettel stehen sollte. Benutzt am besten die Suchen und Ersetzen -Funktion des Editors und beachtet, dass ihr einen Hex-Wert als Suchgrundlage ausgewählt habt. Auch in dieser Datei ersetzt ihr diese ID mit der von eurem Hauptcomputer .

Mit PhoneAble wird derzeit ein Programm entwickelt, das die einzelnen Schritte automatisch durchführt. Allerdings befindet sich PhoneAble für Mac OS noch in einer frühen Alpha-Version und daher empfehle ich euch die Schritte manuell durchzuarbeiten.

Anleitung für Windows
Der iTunes DB Cloner führt alle oben genannten Aktionen automatisch aus. Ihr müsst das Programm lediglich einmal auf eurem Hauptcomputer starten, per Read ID eure ID herausfinden und abschreiben/-speichern. Danach wechselt ihr zum anderen Computer, führt den iTunes DB Cloner erneut aus und ersetzt per Update ID die ID des zweiten Computers mit der zuvor abgespeicherten .

Das war s. Beide Computer sind nun mit der gleichen Library Persistent ID ausgestattet und das iPhone bzw. iPad meckern nicht mehr, dass sie an einem anderen Rechner angeschlossen wurden. Eigentlich ist die Anleitung hier zu Ende, nach einigen Testläufen ergaben sich bei mir allerdings ein paar Probleme. daher gibt es nachfolgend noch ein paar Tipps.

Weitere Vorgehensweise und Einschränkungen
Ab sofort könnt ihr also euer iPhone/iPad auch am anderen Computer, beispielsweise am Notebook, anschließen und synchronisieren. Vor dem ersten Sync empfehle ich euch die Einkäufe zu übertragen: Wählt dafür in iTunes euer angeschlossenes Gerät aus und wählt mit der rechten Maustaste Einkäufe übertragen aus. Dadurch werden alle per iTunes gekauften Songs und Apps von eurem Gerät in die neue iTunes Bibliothek kopiert .

Nun zu den Einschränkungen: Leider funktioniert die Synchronisation (zumindest bei mir) nicht ganz optimal. Wer Musik auf seinem iPhone/iPad hat, die nicht per iTunes gekauft wurde, kann diese nicht einfach über das Gerät auf den neuen Rechner übertragen. Bei einem Sync würden diese Songs vom iDevice gelöscht werden. Ebenso verhält es sich bei Bildern, was auch logisch erscheint: Diese Dateien sind keine iTunes Käufe und auf dem anderen Computer nicht vorhanden, also würden sie beim Sync auf dem Gerät gelöscht werden. Wer ausschließlich gekaufte Musik auf dem Gerät hat, sollte damit keine Probleme haben.

Abhilfe schafft das Umstellen in iTunes auf Musik und Videos manuell verwalten bzw. das Deaktivieren der automatischen Synchronisation von Musik/Podcasts/Fotos. Da ich auf meinem iPad weder Musik noch Podcasts gespeichert habe, reicht es z.B. aus lediglich das Synchronisieren der Fotos auf dem Notebook zu deaktivieren. Alles andere klappt einwandfrei und das iPad kann nun fröhlich zwischen Desktop und Notebook hin- und hergesynced werden.

Die Vorteile
Ihr könnt nun euer iPhone/iPad mit mehreren Computern synchronisieren. Ernsthaft, falls der Hauptrechner mal ausfällt, habt ihr somit immer noch einen Ersatz und könnt an die Apps und Musik auf eurem iPhone herankommen. Auch wer länger unterwegs ist und sein Gerät bisher immer mit dem Desktop-PC zuhause synchronisiert hat, wird sich freuen, dass er größere Updates oder ein neues iOS ab sofort auch über das Notebook einspielen kann. Auch eine fremde iTunes Installation lässt sich so auf die schnelle umwandeln .

Alternative
Als Alternative könnt ihr euch einen Account bei Dropbox erstellen. eure iTunes Bibliothek auf deren Server laden und auf verschiedenen Rechnern synchron halten. Unterschiedliche Computer greifen dadurch immer auf die selbe Bibliothek zu.

Ich hoffe dieser Workaround konnte euch etwas weiterhelfen. Der Dank hierfür geht an Andrew Grant. der die Sache mit der Library Persistent ID entdeckt hat.

Solltet ihr Fragen zur Anleitung oder Probleme haben, die hier nicht behandelt wurden ab damit in die Kommentare.


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Load balancer vendors #load #balancer #vendors

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WELCOME TO TRUTEQ

WORDS FROM OUR VALUED CUSTOMERS

Additionally, various external parties have integrated to our services via the USSD Gateway and all have commented on the high standards TruTeq upholds when delivering technology solutions that work well.

The company has consistently delivered on projects with a high degree of professionalism, expert understanding of our business needs and with results that have met our expectations in terms of time, cost and quality of product.

we are very pleased with the quality of service your company provides. We sincerely appreciate your responsiveness and timely completion on projects. We have always been able to rely on your flexibility and courteous service.

I am truly delighted with the performance of TruteqWireless to date. From the start the entire team has thrown their collective weight behind making this project a success. Their flexible approach and ‘can-do’ attitude has set them apart from other vendors I have dealt with (and currently deal with) in this space.

TruTeq Wireless are primarily responsible for this project meeting its product delivery timelines, despite the day to day hurdles that must be overcome in a project of this nature.

We are excited about the enhanced customer experience that will be achieved though these solutions provided by TruTeq Wireless.


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Application Delivery, Server Load Balancer, A10 Thunder ADC, A10 Networks, load balancer hardware.#Load #balancer #hardware

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LOAD BALANCING & APPLICATION DELIVERY

A10 Thunder® ADC (Application Delivery Controllers) are high-performance solutions to enable customer applications to be highly available, accelerated and secure.

FORM FACTORS

Load balancer hardware

Physical

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Virtual

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Bare Metal

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HYBRID

FEATURES BENEFITS

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ADVANCED SERVER

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GLOBAL SERVER

LOAD BALANCING (GSLB)

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APPLICATION DELIVERY

Load balancer hardware

SSL OFFLOAD

WITH PFS AND ECC

Load balancer hardware

APPLICATION ACCELERATION

Load balancer hardware

WEB AND DNS

Load balancer hardware

PER-APPLICATION ANALYTICS

Available in Q3 2017

Load balancer hardware

AXAPI® REST-BASED PROGRAMMABILITY

DEPLOYMENT SCENARIOS

Thunder ADC may be deployed at the core of an environment to deliver high-performance application delivery, load balancing and security.

Load balancer hardwareLoad balancer hardware

Thunder ADC may be deployed to optimize network efficiency and services via traffic-steering and service-chaining to multiple value-added services, such as video optimization. The solution includes carrier-grade networking (CGN) support for IPv4 address expansion and IPv6 migration.

Load balancer hardwareLoad balancer hardware

A10 Thunder ADC may be deployed in front of common applications used by internal users. The application delivery partitions (ADP) provide the ability to configure specific policies on a per-app basis — for both internal and external applications — and allow appliance consolidation.

Load balancer hardwareLoad balancer hardware

Thunder ADC may be deployed at the core of an environment to deliver high-performance application delivery, load balancing and security.

Load balancer hardwareLoad balancer hardware

Thunder ADC may be deployed to optimize network efficiency and services via traffic-steering and service-chaining to multiple value-added services, such as video optimization. The solution includes carrier-grade networking (CGN) support for IPv4 address expansion and IPv6 migration.

Load balancer hardwareLoad balancer hardware

A10 Thunder ADC may be deployed in front of common applications used by internal users. The application delivery partitions (ADP) provide the ability to configure specific policies on a per-app basis — for both internal and external applications — and allow appliance consolidation.

Load balancer hardwareLoad balancer hardware


Categories: News Tags: Tags: , ,

Intelligent WAN Management via UBM, Hybrid-WAN, WAN Optimization #xroads, #xroads #networks, #intelligent #wan, #iwan, #hybrid-wan,

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Testimonial

“Our main ISP went down for entire day last week and because we were running a second connection through XRoads our customers were still able to access critical business resources on our network. Your product worked great and saved us from being down.”

Sedona has been a valued customer since 2004. XRoads Networks is dedicated to delivering ROI for its customers.

Chad W.
IT Admin
Sedona Group
Testimonial

“The product does what it is supposed to do and we are very happy with our two devices. Certainly a very helpful staff and a great product make XRoads a great choice for our organization.”

JC has been a valued customer since 2008 and has multiple UBM appliances deployed within its network.

Chas B.
Director of Information Technology
Jonathan Club
Testimonial

“Your UBM appliances have given me insight in to how my network is being used and your support has been excellent! Whenever we need help with a configuration change, your team is there to provide same day assistance, that’s really appreciated.”

As an Internet Service Provider Bonzai demands 24/7 uptime for their end-users and has been a valued customer since 2005.

Greg B.
President
Bonzai Pipeline
Testimonial

“We switched from a competitive product and have been very happy with the change. The EdgeXOS appliances have worked well since installation and include a host of features not available in our old solution.”

AHAA replaced an existing MultiWAN solution with XRoads.

Jamie P.
Network Engineer
AHAA

Intelligent WAN Management

Utilize Hybrid SD-WAN
for Faster Remote Office Connectivity

Cloud Firewalls

Dynamic Bandwidth Management

Network
Visibility

XRoads’ News

2016-12-30: XRoads Networks annouces major SD-WAN customer wins in health care and hospitality

2016-11-15: XRoads Networks is a top SD-WAN vendor for TCG Partners

2016-10-30: XRoads Networks is a proud Gold Sponsor for Sandler Partners

2016-09-18: XRoads Networks annouces expanded agreement with national tech franchise

2016-08-04: XRoads Networks deploys brand name customers with ZeroOutages

2016-06-23: XRoads Networks signs contracts for several multi-hundred site deployments

2016-05-14: XRoads Networks releases case studies for new major accounts

2016-05-02: XRoads Networks rolls out latest ZOOM portal services

2016-03-26: XRoads Networks expands partnership with Sandler Partners and agent channel

2016-02-26: XRoads Networks creates separate management division for ZeroOutages

2016-01-10: XRoads Networks launches new agent program for ZeroOutages

2015-09-30: XRoads Networks wins patant lawsuit vs Fatpipe Networks

2015-07-08: XRoads Networks Discusses Outage Affecting United Airlines

2015-06-30: XRoads Networks Discusses Recent Internet Outage

2015-03-02: XRoads Networks Announces BGP Optimization Solutions

2015-01-28: XRoads Networks confirms XOS not susceptible to Ghost

2014-09-24: XRoads Networks launches international XOSv software platform

2014-09-10: ZeroOutages delivers comprehensive reliability services

2014-07-05: XRoads Networks announces BGP acceleration technology

2014-07-01: XRoads Networks granted latest patent on multi-session acceleration

2014-04-11: EdgeXOS platform is not susceptible to the HeartBleed Internet bug

2014-01-15: XRNS Web Acceleration for hospitality provider Jonathan Club


Barracuda Networks #load #balancer #ssl #offloading

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Barracuda Load Balancer ADC

Features – Administration

  • Role-Based Administration
  • Connection Logging
  • Enhanced Reporting
  • SNMP Monitoring
  • REST API
    • Features – Availability

    • Layer 4 Load Balancing
    • Direct Server Return
    • Layer 7 Load Balancing
    • High Availability Cluster
    • Global Server Load Balancing
    • VLAN
    • Link Bonding (LACP)
    • Features – Application Delivery

    • SSL Offloading
    • Content Routing
    • AD and Kerberos Integration
    • HTTP Compression
    • Content Caching
    • SSL Hardware Acceleration
    • Features – Application Security

    • Inbound Attack Prevention
    • Outbound Data Theft Protection
    • Protection Against DDoS Attacks
    Barracuda Load Balancer ADC

    640

    • 5 Gbps Maximum Throughput
    • 250 Real Servers Supported
    • 3.6 Gbps HTTP Throughput
    • 1.3 Gbps HTTPS (SSL) Throughput
    • 2 Gbps Max. Compression Throughput
    • 16,000,000 Layer 4 Concurrent TCP Connections
    • 165,000 Layer 4 TCP Connections per sec
    • 60,000 HTTP Connections per sec
    • 8,300 HTTPS (SSL) Terminations per sec (2K Keys)

    Hardware

    Features – Administration

  • Role-Based Administration
  • Connection Logging
  • Enhanced Reporting
  • SNMP Monitoring
  • REST API
    • Features – Availability

    • Layer 4 Load Balancing
    • Direct Server Return
    • Layer 7 Load Balancing
    • High Availability Cluster
    • Global Server Load Balancing
    • VLAN
    • Link Bonding (LACP)
    • Features – Application Delivery

    • SSL Offloading
    • Content Routing
    • AD and Kerberos Integration
    • HTTP Compression
    • Content Caching
    • SSL Hardware Acceleration
    • Features – Application Security

    • Inbound Attack Prevention
    • Outbound Data Theft Protection
    • Protection Against DDoS Attacks
    Barracuda Load Balancer ADC

    641

    • 10 Gbps Maximum Throughput
    • 250 Real Servers Supported
    • 8.5 Gbps HTTP Throughput
    • 60000 HTTPS (SSL) Throughput
    • 4 Gbps Max. Compression Throughput
    • 16,000,000 Layer 4 Concurrent TCP Connections
    • 165,000 Layer 4 TCP Connections per sec
    • 115,000 HTTP Connections per sec
    • 8,300 HTTPS (SSL) Terminations per sec (2K Keys)

    Hardware

    Features – Administration

  • Role-Based Administration
  • Connection Logging
  • Enhanced Reporting
  • SNMP Monitoring
  • REST API
    • Features – Availability

    • Layer 4 Load Balancing
    • Direct Server Return
    • Layer 7 Load Balancing
    • High Availability Cluster
    • Global Server Load Balancing
    • VLAN
    • Link Bonding (LACP)
    • Features – Application Delivery

    • SSL Offloading
    • Content Routing
    • AD and Kerberos Integration
    • HTTP Compression
    • Content Caching
    • SSL Hardware Acceleration
    • Features – Application Security

    • Inbound Attack Prevention
    • Outbound Data Theft Protection
    • Protection Against DDoS Attacks
    Barracuda Load Balancer ADC

    642

    • 10 Gbps Maximum Throughput
    • 250 Real Servers Supported
    • 8.5 Gbps HTTP Throughput
    • 60000 HTTPS (SSL) Throughput
    • 4 Gbps Max. Compression Throughput
    • 16,000,000 Layer 4 Concurrent TCP Connections
    • 165,000 Layer 4 TCP Connections per sec
    • 115,000 HTTP Connections per sec
    • 8,300 HTTPS (SSL) Terminations per sec (2K Keys)

    Hardware

    Features – Administration

  • Role-Based Administration
  • Connection Logging
  • Enhanced Reporting
  • SNMP Monitoring
  • REST API
    • Features – Availability

    • Layer 4 Load Balancing
    • Direct Server Return
    • Layer 7 Load Balancing
    • High Availability Cluster
    • Global Server Load Balancing
    • VLAN
    • Link Bonding (LACP)
    • Features – Application Delivery

    • SSL Offloading
    • Content Routing
    • AD and Kerberos Integration
    • HTTP Compression
    • Content Caching
    • SSL Hardware Acceleration
    • Features – Application Security

    • Inbound Attack Prevention
    • Outbound Data Theft Protection
    • Protection Against DDoS Attacks
    Barracuda Load Balancer ADC

    840

    • 10 Gbps Maximum Throughput
    • 500 Real Servers Supported
    • 3.6 Gbps HTTP Throughput
    • 4.2 Gbps HTTPS (SSL) Throughput
    • 4 Gbps Max. Compression Throughput
    • 20,000,000 Layer 4 Concurrent TCP Connections
    • 360,000 Layer 4 TCP Connections per sec
    • 100,000 HTTP Connections per sec
    • 24,000 HTTPS (SSL) Terminations per sec (2K Keys)

    Hardware

    Features – Administration

  • Role-Based Administration
  • Connection Logging
  • Enhanced Reporting
  • SNMP Monitoring
  • REST API
    • Features – Availability

    • Layer 4 Load Balancing
    • Direct Server Return
    • Layer 7 Load Balancing
    • High Availability Cluster
    • Global Server Load Balancing
    • VLAN
    • Link Bonding (LACP)
    • Features – Application Delivery

    • SSL Offloading
    • Content Routing
    • AD and Kerberos Integration
    • HTTP Compression
    • Content Caching
    • SSL Hardware Acceleration
    • Features – Application Security

    • Inbound Attack Prevention
    • Outbound Data Theft Protection
    • Protection Against DDoS Attacks
    Barracuda Load Balancer ADC

    841

    • 15 Gbps Maximum Throughput
    • 500 Real Servers Supported
    • 13 Gbps HTTP Throughput
    • 4.2 Gbps HTTPS (SSL) Throughput
    • 7 Gbps Max. Compression Throughput
    • 20,000,000 Layer 4 Concurrent TCP Connections
    • 360,000 Layer 4 TCP Connections per sec
    • 100,000 HTTP Connections per sec
    • 24,000 HTTPS (SSL) Terminations per sec (2K Keys)

    Hardware

    Features – Administration

  • Role-Based Administration
  • Connection Logging
  • Enhanced Reporting
  • SNMP Monitoring
  • REST API
    • Features – Availability

    • Layer 4 Load Balancing
    • Direct Server Return
    • Layer 7 Load Balancing
    • High Availability Cluster
    • Global Server Load Balancing
    • VLAN
    • Link Bonding (LACP)
    • Features – Application Delivery

    • SSL Offloading
    • Content Routing
    • AD and Kerberos Integration
    • HTTP Compression
    • Content Caching
    • SSL Hardware Acceleration
    • Features – Application Security

    • Inbound Attack Prevention
    • Outbound Data Theft Protection
    • Protection Against DDoS Attacks
    Barracuda Load Balancer ADC

    842

    • 15 Gbps Maximum Throughput
    • 500 Real Servers Supported
    • 13 Gbps HTTP Throughput
    • 4.2 Gbps HTTPS (SSL) Throughput
    • 7 Gbps Max. Compression Throughput
    • 20,000,000 Layer 4 Concurrent TCP Connections
    • 360,000 Layer 4 TCP Connections per sec
    • 100,000 HTTP Connections per sec
    • 24,000 HTTPS (SSL) Terminations per sec (2K Keys)

    Hardware


    Categories: News Tags: Tags: , , ,