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In an embodiment, the application firewall of the appliance provides HTML form field protection in the form of inspecting or analyzing the network communication for one or more of the following: 1 required fields are returned, 2 no added field allowed, 3 read-only and hidden field enforcement, 4 drop-down list and radio button field conformance, and 5 form-field max- length enforcement.

In some embodiments, the application firewall of the appliance ensures cookies are not modified. In other embodiments, the appliance protects against forceful browsing by enforcing legal URLs. In still yet other embodiments, the application firewall appliance protects any confidential information contained in the network communication. The appliance may inspect or analyze any network communication in accordance with the rules or polices of the policy engine to identify any confidential information in any field of the network packet.

In some embodiments, the application firewall identifies in the network communication one or more occurrences of a credit card number, password, social security number, name, patient code, contact information, and age.

The encoded portion of the network communication may include these occurrences or the confidential information. Based on these occurrences, in one embodiment, the application firewall may take a policy action on the network communication, such as prevent transmission of the network communication. In another embodiment, the application firewall may rewrite, remove or otherwise mask such identified occurrence or confidential information.

Although generally referred to as a network optimization or first appliance and a second appliance , the first appliance and second appliance may be the same type and form of appliance. In one embodiment, the second appliance may perform the same functionality, or portion thereof, as the first appliance , and vice-versa.

For example, the first appliance and second appliance may both provide acceleration techniques. In one embodiment, the first appliance may perform LAN acceleration while the second appliance performs WAN acceleration, or vice-versa.

In another example, the first appliance may also be a transport control protocol terminating device as with the second appliance IH, a block diagram depicts other embodiments of a network environment for deploying the appliance In one embodiment, as depicted on the top of FIG. IH, the appliance may be deployed as a single appliance or single proxy on the network For example, the appliance may be designed, constructed or adapted to perform WAN optimization techniques discussed herein without a second cooperating appliance ‘.

In another embodiment, as depicted on the bottom of FIG. IH, a single appliance may be deployed with one or more second appliances II, a block diagram depicts further embodiments of a network environment for deploying the appliance and the appliance In some embodiments, as depicted in the first row of FIG.

IL, a first appliance resides on a network ‘ on which a client resides and a second appliance ‘ resides on a network “‘ on which a server resides. In one of these embodiments, the first appliance and the second appliance ‘ are separated by a third network, such as a Wide Area Network. In other embodiments, as depicted in the second row of FIG.

II, a first appliance resides on a network ‘ on which a client resides and a second appliance ‘ resides on a network ‘” on which a server resides. In one of these embodiments, the first appliance and the second appliance ‘ are separated by a third network “, such as a Wide Area Network. In still other embodiments, as depicted in the third row of FIG.

II, a first appliance and a first appliance reside on a first network ‘ on which a client resides; a second appliance ‘ and a second appliance ‘ reside on a second network ‘”. In one of these embodiments, the first network ‘ and the second network “‘ are separated by a third network “. In further embodiments, the first appliance and the first appliance are symmetrical devices that are deployed as a pair.

In one of these embodiments, the appliance on a network ‘” resides between the appliance ‘ and a machine in the network “. In some embodiments, a server includes an application delivery system for delivering a resource – such as a computing environment, an application, a data file, or other resource – to one or more clients In brief overview, a client is in communication with a server via network and appliance For example, the client may reside in a remote office of a company, e.

The client has a client agent , and a computing environment The computing environment may execute or operate an application that accesses, processes or uses a data file. In one embodiment, a resource comprises a program, an application, a document, a file, a plurality of applications, a plurality of files, an executable program file, a desktop environment, a computing environment, or other resource made available to a user of the local machine The resource may be delivered to the local machine via a plurality of access methods including, but not limited to, conventional installation directly on the local machine , delivery to the local machine via a method for application streaming, delivery to the local machine of output data generated by an execution of the resource on a third machine ‘ and communicated to the local machine via a presentation layer protocol, delivery to the local machine of output data generated by an execution of the resource via a virtual machine executing on a remote machine , execution from a removable storage device connected to the local machine , such as a USB device, or via a virtual machine executing on the local machine and generating output data.

In some embodiments, the local machine transmits output data generated by the execution of the resource to another client machine ‘. In one embodiment, the appliance accelerates the delivery of the resource by the application delivery system In another example, the embodiments described herein may be used to accelerate delivery of a virtual machine image, which may be the resource or which may be executed to provide access to the resource In another embodiment, the appliance accelerates transport layer traffic between a client and a server In still another embodiment, the appliance controls, manages, or adjusts the transport layer protocol to accelerate delivery of the computing environment.

In some embodiments, the application delivery management system provides application delivery techniques to deliver a computing environment to a desktop of a user, remote or otherwise, based on a plurality of execution methods and based on any authentication and authorization policies applied via a policy engine With these techniques, a remote user may obtain a computing environment and access to server stored applications and data files from any network connected device In one embodiment, the application delivery system may reside or execute on a server In another embodiment, the application delivery system may reside or execute on a plurality of servers an.

In some embodiments, the application delivery system may execute in a server farm In one embodiment, the server executing the application delivery system may also store or provide the application and data file. In another embodiment, a first set of one or more servers may execute the application delivery system , and a different server n may store or provide the application and data file.

In some embodiments, each of the application delivery system , the application, and data file may reside or be located on different servers. In yet another embodiment, any portion of the application delivery system may reside, execute or be stored on or distributed to the appliance , or a plurality of appliances.

The client may include a resource such as a computing environment for executing an application that uses or processes a data file. The client via networks , ‘ and appliance may request an application and data file from the server In one embodiment, the appliance may forward a request from the client to the server For example, the client may not have the application and data file stored or accessible locally.

For example, in one embodiment, the server may transmit the application as an application stream to operate in an environment provided by a resource on client In one embodiment, the application delivery system may deliver one or more resources to clients or users via a remote-display protocol or otherwise via remote -based or server-based computing.

In another embodiment, the application delivery system may deliver one or more resources to clients or users via steaming of the resources. In one embodiment, the application delivery system includes a policy engine for controlling and managing the access to, selection of application execution methods and the delivery of applications. In some embodiments, the policy engine determines the one or more applications a user or client may access.

In another embodiment, the policy engine determines how the application should be delivered to the user or client , e. In some embodiments, the application delivery system provides a plurality of delivery techniques from which to select a method of application execution, such as a server-based computing, streaming or delivering the application locally to the client for local execution.

In one embodiment, a client requests execution of an application program and the application delivery system comprising a server selects a method of executing the application program. In some embodiments, the server receives credentials from the client In another embodiment, the server receives a request for an enumeration of available applications from the client In one embodiment, in response to the request or receipt of credentials, the application delivery system enumerates a plurality of application programs available to the client The application delivery system receives a request to execute an enumerated application.

The application delivery system selects one of a predetermined number of methods for executing the enumerated application, for example, responsive to a policy of a policy engine. The application delivery system may select a method of execution of the application enabling the client to receive application-output data generated by execution of the application program on a server The application delivery system may select a method of execution of the application enabling the client or local machine to execute the application program locally after retrieving a plurality of application files comprising the application.

In yet another embodiment, the application delivery system may select a method of execution of the application to stream the application via the network to the client In some embodiments, the application may be a server-based or a remote-based application executed on behalf of the client on a server In one embodiment the server may display output to the client using any thin-client or remote-display protocol, such as the Independent Computing Architecture ICA protocol manufactured by Citrix Systems, Inc.

In other embodiments, the application comprises any type of software related to VoIP communications, such as a soft IP telephone. In some embodiments, the server or a server farm 38 may be running one or more applications, such as an application providing a thin-client computing or remote display presentation application.

In one embodiment, the application is an independent computing architecture ICA client, developed by Citrix Systems, Inc. Also, the server may run an application, which for example, may be an application server providing email services such as Microsoft Exchange manufactured by the Microsoft Corporation of Redmond, Washington, a web or Internet server, or a desktop sharing server, or a collaboration server.

The architecture of the appliance in FIG. The appliance may include any type and form of computing device , such as any element or portion described in conjunction with FIGs. IF and IG above. The appliance also has a network optimization engine for optimizing, accelerating or otherwise improving the performance, operation, or quality of any network traffic or communications traversing the appliance The appliance includes or is under the control of an operating system.

As such, the appliance can be running any operating system such as any of the versions of the MICROSOFT Windows operating systems, the different releases of the Unix and Linux operating systems, any version of the MAC OS for Macintosh computers, any embedded operating system, any network operating system, any real-time operating system, any open source operating system, any proprietary operating system, any operating systems for mobile computing devices or network devices, or any other operating system capable of running on the appliance and performing the operations described herein.

The operating system of appliance allocates, manages, or otherwise segregates the available system memory into what is referred to as kernel or system space, and user or application space. The kernel space is typically reserved for running the kernel, including any device drivers, kernel extensions or other kernel related software.

As known to those skilled in the art, the kernel is the core of the operating system, and provides access, control, and management of resources and hardware -related elements of the appliance In accordance with an embodiment of the appliance , the kernel space also includes a number of network services or processes working in conjunction with the network optimization engine , or any portion thereof.

Additionally, the embodiment of the kernel will depend on the embodiment of the operating system installed, configured, or otherwise used by the device In contrast to kernel space, user space is the memory area or portion of the operating system used by user mode applications or programs otherwise running in user mode. A user mode application may not access kernel space directly and uses service calls in order to access kernel services. The appliance has one or more network ports for transmitting and receiving data over a network The type and form of network port depends on the type and form of network and type of medium for connecting to the network.

Furthermore, any software of, provisioned for or used by the network port and network stack may run in either kernel space or user space. In one embodiment, the network stack is used to communicate with a first network, such as network , and also with a second network ‘. In another embodiment, the appliance has two or more network stacks, such as first network stack A and a second network stack N.

The first network stack A may be used in conjunction with a first port A to communicate on a first network The second network stack N may be used in conjunction with a second port N to communicate on a second network ‘. In one embodiment, the network stack s has one or more buffers for queuing one or more network packets for transmission by the appliance The network stack includes any type and form of software, or hardware, or any combinations thereof, for providing connectivity to and communications with a network.

In one embodiment, the network stack includes a software implementation for a network protocol suite. The network stack may have one or more network layers, such as any networks layers of the Open Systems Interconnection OSI communications model as those skilled in the art recognize and appreciate.

As such, the network stack may have any type and form of protocols for any of the following layers of the OSI model: 1 physical link layer, 2 data link layer, 3 network layer, 4 transport layer, 5 session layer, 6 presentation layer, and 7 application layer. In some embodiments, the network stack has any type and form of a wireless protocol, such as IEEE In other embodiments, any type and form of user datagram protocol UDP , such as UDP over IP, may be used by the network stack , such as for voice communications or real-time data communications.

Furthermore, the network stack may include one or more network drivers supporting the one or more layers, such as a TCP driver or a network layer driver. The network drivers may be included as part of the operating system of the computing device or as part of any network interface cards or other network access components of the computing device In some embodiments, any of the network drivers of the network stack may be customized, modified or adapted to provide a custom or modified portion of the network stack in support of any of the techniques described herein.

In one embodiment, the appliance provides for or maintains a transport layer connection between a client and server using a single network stack In some embodiments, the appliance effectively terminates the transport layer connection by changing, managing or controlling the behavior of the transport control protocol connection between the client and the server.

In these embodiments, the appliance may use a single network stack In other embodiments, the appliance terminates a first transport layer connection, such as a TCP connection of a client , and establishes a second transport layer connection to a server for use by or on behalf of the client , e. The first and second transport layer connections may be established via a single network stack In other embodiments, the appliance may use multiple network stacks, for example A and N. In these embodiments, the first transport layer connection may be established or terminated at one network stack A, and the second transport layer connection may be established or terminated on the second network stack N.

For example, one network stack may be for receiving and transmitting network packets on a first network, and another network stack for receiving and transmitting network packets on a second network.

The network optimization engine , or any portion thereof, may include software, hardware or any combination of software and hardware. Furthermore, any software of, provisioned for or used by the network optimization engine may run in either kernel space or user space. For example, in one embodiment, the network optimization engine may run in kernel space. In another embodiment, the network optimization engine may run in user space. In yet another embodiment, a first portion of the network optimization engine runs in kernel space while a second portion of the network optimization engine runs in user space.

The network packet engine , also generally referred to as a packet processing engine or packet engine, is responsible for controlling and managing the processing of packets received and transmitted by appliance via network ports and network stack s The network packet engine may operate at any layer of the network stack In one embodiment, the network packet engine operates at layer 2 or layer 3 of the network stack In another embodiment, the packet engine operates at layer 4 of the network stack In other embodiments, the packet engine operates at any session or application layer above layer 4.

For example, in one embodiment, the packet engine intercepts or otherwise receives network packets above the transport layer protocol layer, such as the payload of a TCP packet in a TCP embodiment.

The packet engine may include a buffer for queuing one or more network packets during processing, such as for receipt of a network packet or transmission of a network packet.

Additionally, the packet engine is in communication with one or more network stacks to send and receive network packets via network ports The packet engine may include a packet processing timer. In one embodiment, the packet processing timer provides one or more time intervals to trigger the processing of incoming, i. In some embodiments, the packet engine processes network packets responsive to the timer.

The packet processing timer provides any type and form of signal to the packet engine to notify, trigger, or communicate a time related event, interval or occurrence. In many embodiments, the packet processing timer operates in the order of milliseconds, such as for example ms, 50ms, 25ms, 10ms, 5ms or lms. In some embodiments, any of the logic, functions, or operations of the encryption engine , cache manager , policy engine and multi-protocol compression logic may be performed at the granularity of time intervals provided via the packet processing timer, for example, at a time interval of less than or equal to 10ms.

In another embodiment, the expiry or invalidation time of a cached object can be set to the same order of granularity as the time interval of the packet processing timer, such as at every 10 ms. The cache manager may include software, hardware or any combination of software and hardware to store data, information and objects to a cache in memory or storage, provide cache access, and control and manage the cache.

The data, objects or content processed and stored by the cache manager may include data in any format, such as a markup language, or any type of data communicated via any protocol. In some embodiments, the cache manager duplicates original data stored elsewhere or data previously computed, generated or transmitted, in which the original data may require longer access time to fetch, compute or otherwise obtain relative to reading a cache memory or storage element.

Once the data is stored in the cache, future use can be made by accessing the cached copy rather than refetching or recomputing the original data, thereby reducing the access time. In some embodiments, the cache may comprise a data object in memory of the appliance In another embodiment, the cache may comprise any type and form of storage element of the appliance , such as a portion of a hard disk.

In some embodiments, the processing unit of the device may provide cache memory for use by the cache manager In yet further embodiments, the cache manager may use any portion and combination of memory, storage, or the processing unit for caching data, objects, and other content. Furthermore, the cache manager includes any logic, functions, rules, or operations to perform any caching techniques of the appliance In some embodiments, the cache manager may operate as an application, library, program, service, process, thread or task.

The policy engine ‘ includes any logic, function or operations for providing and applying one or more policies or rules to the function, operation or configuration of any portion of the appliance The policy engine ‘ may include, for example, an intelligent statistical engine or other programmable application s.

In one embodiment, the policy engine provides a configuration mechanism to allow a user to identify, specify, define or configure a policy for the network optimization engine , or any portion thereof. For example, the policy engine may provide policies for what data to cache, when to cache the data, for whom to cache the data, when to expire an object in cache or refresh the cache. In other embodiments, the policy engine may include any logic, rules, functions or operations to determine and provide access, control and management of objects, data or content being cached by the appliance in addition to access, control and management of security, network traffic, network access, compression or any other function or operation performed by the appliance In some embodiments, the policy engine ‘ provides and applies one or more policies based on any one or more of the following: a user, identification of the client, identification of the server, the type of connection, the time of the connection, the type of network, or the contents of the network traffic.

In one embodiment, the policy engine ‘ provides and applies a policy based on any field or header at any protocol layer of a network packet. In another embodiment, the policy engine ‘ provides and applies a policy based on any payload of a network packet.

For example, in one embodiment, the policy engine. In another example, the policy engine ‘ applies a policy based on any information identified by a client, server or user certificate.

In yet another embodiment, the policy engine ‘ applies a policy based on any attributes or characteristics obtained about a client , such as via any type and form of endpoint detection see for example the collection agent of the client agent discussed below.

In one embodiment, the policy engine ‘ works in conjunction or cooperation with the policy engine of the application delivery system In some embodiments, the policy engine ‘ is a distributed portion of the policy engine of the application delivery system In another embodiment, the policy engine of the application delivery system is deployed on or executed on the appliance In some embodiments, the policy engines , ‘ both operate on the appliance In yet another embodiment, the policy engine ‘, or a portion thereof, of the appliance operates on a server The compression engine includes any logic, business rules, function or operations for compressing one or more protocols of a network packet, such as any of the protocols used by the network stack of the appliance The compression engine may also be referred to as a multi-protocol compression engine in that it may be designed, constructed or capable of compressing a plurality of protocols.

In one embodiment, the compression engine applies context insensitive compression, which is compression applied to data without knowledge of the type of data.

In another embodiment, the compression engine applies context-sensitive compression. In this embodiment, the compression engine utilizes knowledge of the data type to select a specific compression algorithm from a suite of suitable algorithms. Happy coding! Everything you learned above for npm-installing existing modules also applies to custom modules that you create yourself.

Note that many, but not all, libraries can be statically linked this way. The following steps will walk you through updating your system, installing the required development libraries and tools, downloading nodejs and our sample library, OpenCV, and finally installing and testing the OpenCV module we create by running some basic facial detection code on a well-known face.

The NodeJS OpenCV module includes some sample facial detection code that we can use to validate that the module has been built correctly:. You can remove any test files and test output, write a real Lambda function, ZIP up your directory as before and deploy it to Lambda. In this article we discuss how Lambda creates and reuses these sandboxes, and the impact of those policies on the programming model.

The first time a function executes after being created or having its code or resource configuration updated, a new container with the appropriate resources will be created to execute it, and the code for the function will be loaded into the container.

In nodejs, initialization code is executed once per container creation, before the handler is called for the first time. Since context. Any other value will be interpreted as an error result. An error result may trigger Lambda to retry the function; see the S3 bucket notification and registerEventSource documentation for more information on retry semantics and the checkpointing of ordered event sources, such as Amazon DynamoDB Streams.

The second argument to done is an optional message string; if present, it will be displayed in the console for test invocations below the log output. The message argument can be used for both success and error cases.

For those encountering nodejs for the first time in Lambda, a common error is forgetting that callbacks execute asynchronously and calling context. PUT operation to complete, forcing the function to terminate with its work incomplete. Lambda may create a new container all over again, in which case the experience is just as described above.

Going Serverless with OpenWhisk. Alex Glikson. Next SlideShares. You are reading a preview. Activate your 30 day free trial to continue reading.

Continue for Free. Upcoming SlideShare. Serverless in production O’Reilly Software Architecture. Embed Size px. Start on. Show related SlideShares at end. WordPress Shortcode. Share Email. Top clipped slide. Going Serverless with OpenWhisk Feb. Download Now Download Download to read offline. Alex Glikson Follow. OpenWhisk Deep Dive: the action container model.

OpenWhisk – A platform for cloud native, serverless, event driven apps. More Related Content Slideshows for you Almost all media companies make use of cloud.

AWS has made moves to open up its offering to hybrid cloud users — introducing Snowball, a piece of hardware that can transfer data in and out of the cloud, for instance. It also introduced hybrid and cross-cloud management for its EC2 cloud less than a fortnight ago , making its Run Command tool work for on-premise server workloads as well as for EC2 instances. In order to address this very common use case, we are now opening up Run Command to servers running outside of EC2.

Can’t choose between public and private cloud? You don’t have to with IaaS.


 
 

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Referring ahead to FIG. In one embodiment, the first appliance may perform LAN acceleration while the second appliance performs WAN acceleration, or vice-versa. In other embodiments, the policy engine may include any logic, rules, functions or operations to determine and provide access, control and management of objects, data or content being cached by the appliance in addition to access, control and management of security, network traffic, network access, compression or any other function or operation performed by the appliance In another embodiment, the client executes a program neighborhood application to communicate with a server in a farm We hope you enjoy the new and improved AWS Lambda service. IB and 1C, a computing device includes a central processing unit , and a main memory unit A nonzero window size e. In some embodiments, the compression engine uses a hierarchy of cache-based, memory-based and disk-based data history. In one of these embodiments, the hypervisor controls the execution of at least one virtual machine

 

Going Serverless with OpenWhisk. Windows 10 pro download free softlayer serverless

 
In another embodiment, the flow control module may be configured to detect the bottleneck bandwidth or data associated therewith. IF, a first network optimization appliance is shown between networks and ‘ and a second network optimization appliance ‘ is also between networks ‘ and “. A nonzero window size e. In some embodiments, a hypervisor may create a virtual machine a-c generally in which an operating system executes. In still yet other embodiments, the application firewall appliance protects any confidential information contained in the network communication. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. In some embodiments, the processing unit of the device may provide cache memory for use by the cache manager ❿
 
 

AWS Lambda | AWS Compute Blog

 
 
code that, upon being triggered, are executed in an iso- term serverless as well as the first 10 unique fitting results. Resource policies. AWS Lambda now allows you grant cross-account access and to specify access to a Lambda function based on resources, such as. replace.me -to-mongodb-atlas–get-started-with-free-database-tier-on-microsoft-azure.

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