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Oracle Java Enterprise Edition 5

Oracle Java general version Runtime ambiance | Real Questions and Pass4sure dumps

Oracle Java normal version Runtime environment (also known as JRE SE, Java SE or Java SE Runtime ambiance) is a closed-source and freely dispensed computing device technology that offers an easy strategy to run Java courses on any Linux-primarily based working device.

Invented by sun Microsystems

at the beginning invented by means of sun Microsystems for interactive television, the software turned into prior to now called Java 2 Platform, average edition or J2SE. It became later obtained by way of the Oracle organisation that now actively develops and continues the supply code.

it's referred to as Java SE (common version) because the know-how is additionally allotted as a Micro edition (ME) and an commercial enterprise edition (EE), which are available handiest for embedded systems/cell contraptions and enterprise computing structures respectively.

disbursed as binary programs for all Linux distributions

The venture allows for clients to get pleasure from all the latest and greatest Java applied sciences from both the cyber web and Java functions which are usually allotted as JAR files. it is dispensed as binary archives that may also be deployed on any 64-bit or 32-bit GNU/Linux distribution.

moreover the typical binary files, Oracle also offers Linux users with binary programs for all RPM-based Linux distributions, together with pink Hat commercial enterprise Linux, Fedora, openSUSE and OpenMandriva.

Supported on a lot of working systems

The JRE (Java Runtime environment) and JDK (Java development package) platforms are platform-unbiased and suitable with many open supply and commercial operating techniques, similar to Linux, BSD, Solaris, Microsoft home windows and Mac OS X, helping the 64-bit, 32-bit and SPARC architectures.

whereas the Java Runtime atmosphere platform is used only for enjoying wealthy web content and Java classes, the Java development kit platform helps Java builders to create up to date content material for sites or function-rich applications that work on assorted structures.

Java development equipment includes Java Runtime ambiance

it's additionally critical to understand that JDK (Java development kit) consists of the JRE (Java Runtime environment) platform, so that you don’t should down load them one at a time if your leading purpose is to boost in Java.

Java Runtime environment Java commonplace version Oracle Java Oracle Java JRE SE

Eclipse releases GlassFish 5.1 for Java EE eight | Real Questions and Pass4sure dumps

moving forward with its building of enterprise Java, the Eclipse foundation will supply its personal version of the GlassFish software server, which historically has served as a reference implementation of the Java EE (Java commercial enterprise edition) platform.

Eclipse GlassFish 5.1 is appropriate with the Java EE 8 specification and represents the whole migration of GlassFish to the open source Eclipse basis. The GlassFish software server helps business technologies including JavaServer Faces, business JavaBeans, and Java Message provider.

From Oracle to Eclipse groundwork

Eclipse, which took over the evolution of enterprise Java from Oracle beginning in 2017, referred to the unencumber serves as a step towards making certain backward compatibility with Jakarta EE, which is Eclipse’s deliberate successor to Java EE. The next version of Eclipse GlassFish, Eclipse GlassFish 5.2, will serve as a Jakarta EE 8-compatible reference implementation.

The migration of GlassFish to Eclipse became an “colossal” engineering and felony problem, the groundwork pointed out. GlassFish and Oracle Java EE API contributions to Jakarta EE now are finished. Java EE TCK (test compatibility kits), previously personal and proprietary, now are open supply and hosted at Eclipse. additionally, the Eclipse GlassFish code base became re-licensed from the CDDL-GPL (normal building and Distribution License, GNU established Public License) and Classpath to the Eclipse Public License 2.0 plus GPL with the Classpath Exception.

From Java EE to Jakarta EE

Jakarta EE is a manufacturer and a group of requisites, simply as Java EE turned into a company and set of requisites. Java utility servers could be relocating from Java EE to Jakarta EE. however, the Jakarta EE specification method remains in building. the first release of Jakarta EE can be Jakarta EE eight, comparable to Java EE 8. Eclipse hopes to unlock Jakarta EE 8 through mid-yr. afterward, plans call for on the grounds that the addition of capabilities comparable to modularization, microservices, and a reactive, non-blocking model to Jakarta EE. Modularization would hold business Java in sync with Java SE (commonplace edition). Jakarta EE might be focused on cloud-native deplloyments. Eclipse also calls for distinctive, compatible reference implementations of Jakarta EE.

where to download Eclipse GlassFish 5.1

The production free up of Eclipse GlassFish 5.1 can be downloadable from Eclipse beginning Tuesday, January 29, 2019.

what's JSP? Introduction to JavaServer Pages | Real Questions and Pass4sure dumps

JavaServer Pages (JSP) is a Java usual know-how that allows you to write down dynamic, data-driven pages for your Java internet purposes. JSP is developed on correct of the Java Servlet specification. both technologies usually work together, in particular in older Java web applications. From a coding perspective, probably the most glaring difference between them is that with servlets you write Java code and then embed client-aspect markup (like HTML) into that code, whereas with JSP you start with the client-aspect script or markup, then embed JSP tags to join your web page to the Java backend.

JSP is additionally intently related to JSF (JavaServer Faces), a Java specification for building MVC (mannequin-view-controller) internet applications. JSP is a comparatively less complicated and older know-how than JSF, which is the general for Java internet frameworks like Eclipse Mojarra, MyFaces, and PrimeFaces. while it isn't distinguished to see JSP used as the frontend for older JSF functions, Facelets is the preferred view technology for contemporary JSF implementations.

while JSP may additionally not be your first choice for building dynamic web pages, it's a core Java internet know-how. JSP pages are pretty short and easy to construct, and that they engage seamlessly with Java servlets in a servlet container like Tomcat. you'll come across JSP in older Java internet purposes, and once in a while you might also discover it positive for building simple, dynamic Java internet pages. As a Java developer, you'll want to at least be familiar with JSP.

this article will be a quick introduction to JavaServer Pages, together with the JSP regular Tag Library (JSTL). Examples reveal you a way to write an easy HTML page, embed JSP tags to connect with a Java servlet, and run the web page in a servlet container.

See outdated articles during this collection to be taught more about Java servlets and JavaServer Faces.

Writing JSP pages

an easy JSP web page (.jsp) includes HTML markup embedded with JSP tags. When the file is processed on the server, the HTML is rendered because the software view, a web web page. The embedded JSP tags will be used to call server-aspect code and records. The diagram in figure 1 shows the interplay between HTML, JSP, and the web software server.

jsp overview Matthew Tyson

figure 1. JSP overview

record 1 indicates an easy JSP web page.

record 1. an easy JSP page <html> <physique> <p>$2 * 2 may still equal four</p> </body> </html>

In checklist 1, you see a block of HTML that contains a JSP expression, which is an instruction to the Java server written the usage of Expression Language (EL). within the expression "$2 * 2", the "$" is JSP syntax for interpolating code into HTML. When done, the JSP will output the effects of executing anything is inside the expression. in this case, the output should be the number 4.

JSP in the servlet container

JSP pages have to be deployed internal a Java servlet container. as a way to installation a Java net software in line with JSP and servlets, you will package your .jsp information, Java code, and utility metadata in a .war file, which is an easy .zip file with a standard structure for web purposes.

once you've loaded the JSP into your servlet container, it might be compiled right into a servlet. JSPs and Java servlets share an identical traits, including the skill to entry and reply to request objects. Apache Tomcat 9x is the reference implementation for the Servlet 4.0 and JSP 2.three standards. (notice that updates between JSP 2.2 and a couple of.3 are surprisingly minor.)

illustration app for JSP

we are going to use an instance utility in Tomcat to get you began with JavaServer Pages. in case you don't have already got Tomcat put in, browse over to the Tomcat down load web page and select the Tomcat setting up for your working gadget. As of this writing, Tomcat 9 is the latest unlock, suitable with Servlet 4.0 and JSP 2.three.

that you may install Tomcat as a home windows provider, or run it from the command line with /bin/ start or /bin/catalina.bat. both means, delivery up Tomcat, then go to localhost:8080 to look the Tomcat welcome web page proven in figure 2.

tomcat welcome 1 Matthew Tyson

determine 2. Tomcat welcome web page

Implicit Objects in Tomcat

On the Tomcat welcome web page, click on the Examples link, then click on JSP Examples.

next, open the Implicit Objects Execute web application. figure 3 indicates output for this utility. Take a minute to examine this output.

implicit jsp Matthew Tyson

determine 3. pattern JSP output

Request parameters

Implicit objects are built-in objects accessible by the use of a JSP web page. As an internet web page developer, you will use these objects to create access to things like request parameters, which might be the information sent over from the browser when issuing an HTTP request. trust the browser URL for Implicit Objects:


The param is ?foo=bar, and you may see it mirrored in the output on the net page, where the table suggests "EL Expression" and the cost is "bar." To examine this out, exchange the URL to http://localhost:8080/examples/jsp/jsp2/el/implicit-objects.jsp?foo=zork, hit Enter, and you'll see the alternate mirrored in the output.

This illustration is a really essential introduction to using JSP tags to entry server-aspect request parameters. during this case, the JSP page makes use of the built-in (implicit) object known as param to entry the web software's request parameters. The param object is obtainable inner the JSP expression syntax that you noticed in listing 1.

In that example, they used an expression to do some math: $2 * 2, which output 4.

during this illustration, the expression is used to access an object and a field on that object: $

JSP in an internet utility

On the Implicit Objects page, click on the lower back arrow, adopted by means of the supply link. this may lead you to the JSP code for the Implicit Objects internet app, which is proven in checklist 2.

record 2. JSP code for the Implicit Objects internet app <%@web page contentType="text/html; charset=UTF-eight" %> <%@ taglib prefix="fn" uri="" %> <html> <head> <title>JSP 2.0 Expression Language - Implicit Objects</title> </head> <physique> <h1>JSP 2.0 Expression Language - Implicit Objects</h1> <hr> This example illustrates some of the implicit objects attainable within the Expression Language. right here implicit objects are obtainable (no longer all illustrated right here): <ul> <li>pageContext - the PageContext object</li> <li>pageScope - a Map that maps page-scoped attribute names to their values</li> <li>requestScope - a Map that maps request-scoped attribute names to their values</li> <li>sessionScope - a Map that maps session-scoped attribute names to their values</li> <li>applicationScope - a Map that maps utility-scoped attribute names to their values</li> <li>param - a Map that maps parameter names to a single String parameter cost</li> <li>paramValues - a Map that maps parameter names to a String[] of all values for that parameter</li> <li>header - a Map that maps header names to a single String header cost</li> <li>headerValues - a Map that maps header names to a String[] of all values for that header</li> <li>initParam - a Map that maps context initialization parameter names to their String parameter price</li> <li>cookie - a Map that maps cookie names to a single Cookie object.</li> </ul> <blockquote> <u><b>exchange Parameter</b></u> <kind action="implicit-objects.jsp" formula="GET"> foo = <input type="text" name="foo" cost="$fn:escapeXml(param["foo"])"> <input classification="post"> </form> <br> <code> <desk border="1"> <thead> <td><b>EL Expression</b></td> <td><b>outcome</b></td> </thead> <tr> <td>\$</td> <td>$fn:escapeXml(param["foo"])&nbsp;</td> </tr> <tr> <td>\$param["foo"]</td> <td>$fn:escapeXml(param["foo"])&nbsp;</td> </tr> <tr> <td>\$header["host"]</td> <td>$fn:escapeXml(header["host"])&nbsp;</td> </tr> <tr> <td>\$header["accept"]</td> <td>$fn:escapeXml(header["accept"])&nbsp;</td> </tr> <tr> <td>\$header["user-agent"]</td> <td>$fn:escapeXml(header["user-agent"])&nbsp;</td> </tr> </desk> </code> </blockquote> </physique> </html> JSP functions

if you're regular with HTML, then listing 2 should still seem fairly familiar. you've got the anticipated HTML <td> facets, adopted with the aid of the $ JSP expression syntax delivered in listing 1. but word the cost for <td>$fn:escapeXml(param["foo"])&nbsp;</td>. The "fn:escapeXML()" is a JSP feature.

A JSP characteristic encapsulates a piece of reusable functionality. during this case, the performance is to escape XML. JSP offers a lot of capabilities, and you can additionally create services yourself. to use a characteristic, you import its library into your JSP page, then name the feature.

In list 2, the escapeXML feature is included with the road:

<%@ taglib prefix="fn" uri="" %>

The syntax is pretty clear: it imports the mandatory functions and assigns them a prefix (in this case "fn") that may also be used in all following expressions.

The JSP commonplace Tag Library (JSTL)

The import line in record 2 calls taglib, which is short for tag library, or (during this case) JSP commonplace Tag Library (JSTL). Tag libraries outline reusable bits of functionality for JSP. JSTL is the standard tag library, containing a set of taglibs that ship with every servlet and JSP implementation, together with Tomcat.

The "services" library is just one of the taglibs included with JSTL. yet another normal taglib is the core library, which you import by calling:

<%@ taglib uri = "" prefix = "c" %>

Like "fn", the "c" designation is well-known, and you will see it across most JSP pages.

Securing JSP pages

An instance tag from the core library is

<c:out value = "$'<div>'"/>

which outputs the <div> tag with the XML already escaped. This feature is vital as a result of outputting content material directly to an internet web page by means of $variable opens the door to script injection assaults. This standard function is used to offer protection to internet pages from such attacks.

The core library also includes a variety of tags for iteration and stream control (like IF/ELSE managing).

Calling taglibs in JSP pages

Now that you've got got a tackle on JSP basics, let's make a metamorphosis to the example utility. To start, locate the Implicit Object app to your Tomcat installing. The direction is: apache-tomcat-8.5.33/webapps/examples/jsp/jsp2/el.

Open this file and locate the services consist of:

<%@ taglib prefix="fn" uri="" %>

just under this line, add a new line:

<%@ taglib prefix="c" uri="" %>

Hit Return and add a different new line:

<c:out cost = "$'here is a test of the JSTL Core Library'"/>

Now reload the page at http://localhost:8080/examples/jsp/jsp2/el/implicit-objects.jsp?foo=bar.

make sure to see your updates mirrored in the output.

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Strategies for SAP ERP integration with other business applications | real questions and Pass4sure dumps

Enterprise resource planning (ERP) software works best when connected with a variety of other business applications...

across the organization. In this SAP Press book chapter excerpt, find an introduction to SAP ERP integration with other enterprise systems, and learn how SAP ERP can optimize a variety of business software.

So far in the first three chapters of this book they have studied an overview of SAP business suite applications and the NetWeaver Application Server ABAP and Java technology foundation that it runs on. In this chapter they will study the central role the SAP ERP system has in an organization and its network integration into the organization’s enterprise infrastructure, as well as to the external systems outside the organization and the SAP support infrastructure. This chapter covers various communication and integration technologies that “bind” different SAP ABAP and Java-based applications, along with the third-party enterprise solutions, external vendors, and SAP support organization into an enterprise-wide SAP solution adding value and driving the business needs of an organization. This chapter is also intended to give an overview to enterprise architects as to how a SAP solution would fit into an enterprise-wide architecture.

Figure 4-1 illustrates the integration scenarios that could come into play with the implementation and operations of a SAP ERP system for a hypothetical SAP customer. The remaining sections of this chapter will use this hypothetical scenario to explain the common integration scenario groupings and the underlying communication protocol and standards used by SAP.

Basic Communication in SAP Business Solutions

SAP business applications use the following protocols and standards for communication and data transfer between different systems. One of the following basic network and communication standards is at the heart of the different integration scenarios with the SAP ERP system. Let us look into the details of each of the following protocols and standards.


In SAP business applications, network communication is with the Transmission Control Protocol/Internet Protocol (TCP/IP) standards. During the system build phase, the required IP address is assigned to the host and necessary configuration is performed where a particular SAP business solution is planned to be installed.

ERP integration scenarios Figure 4-1 ERP integration scenarios Network Ports

SAP business applications listen at clearly defined port numbers for incoming network connections. Table 4-1 lists the most important port numbers and the naming conventions and rules used for defining them for ABAP-based SAP applications.

Service Default TCP Service Name Default Port # Range Dispatcher sapdp## where ## is the system number of the instance 3200 3200–3299 MessageServer sapms<SID> where SID = System Identifier 3600 Free Gateway sapgw## where ## is the system number of the instance 3300 3300–3399 ICM HTTP 80## where ## = system number of the instance 8000 Free ICM HTTPS 443## where ## = system number of the instance Not Active Free ICM SMTP 25 Not Active 25

Table 4-1 Network Ports in SAP ABAP Applications

Service Default TCP Service Name Default Port # Range HTTP 5##00 where ## is the system number ofthe instance 50000 50000–59900 HTTP over SSL 5##01 where ## is the system number ofthe instance 50001 50001–59901 Telnet 5##08 where ## is the system number ofthe instance 50008 50008–59908

Table 4-2 Network Ports in SAP Java Applications

SAP Java–based applications use a different set of network ports. Table 4-2 lists the most important ports and rules for using the SAP Java–based applications.

In UNIX operating systems, the services file maps port numbers to the named services.

This entry gets there during the time of the SAP installation of a given business solution. The services file location in a UNIX operating system is /etc/services. If, for any reason, the service file entry is missing, then the communication between the SAP applications will be lost and can be restored by adding an entry manually. Usually it requires a root user permission to make any changes to the etc/services file.


Remote Function Call (RFC) is SAP’s communication interface. RFC communication between SAP business solutions involves an RFC client and an RFC server. The RFC server provides function modules. RFC clients call one of the function modules, pass on the data, and get a reply (value) back from the RFC server.

Setting Up an RFC Connection

Transaction code SM59 is used to create new RFC connections or to alter an existing connection. Several types of RFC connections can be set up in SAP systems using SM59 transaction code. RFC connection types “3” (connects to another ABAP system) and “T” (TCP/IP Connection) are most often used.

The following procedure is used to set up an RFC connection type “3” in SAP systems. Use transaction code SM59 in the SAPGUI command line (see Figure 4-2). Select the connection type ABAP Connections, and click the Create icon. This will open the screen shown in Figure 4-3. Enter the following fields to complete the RFC destination configuration:

  • RFC Destination Name of the RFC destination of the target ABAP system.
  • Description Enter a text description.
  • Target Host Enter the hostname or the IP address of the target ABAP system.
  • System Number Enter the target ABAP system number.
  • Initial RFC creation screen Figure 4-2 Initial RFC creation screen

    Click the Logon & Security tab, and enter the logon information (Client, User, and Password).

    After this, save your connection entries by clicking the Save button, as in Figure 4-4.

    If you receive any message window saying the user can log in to the remote system, just click OK and continue. Your connection entries will be saved. The next step is to test if their RFC connection is working properly. Click the Connection Test button at the top of the screen. You will see the screen shown in Figure 4-5 if all of your connection entries are correct.

    This is a basic connection test. This does not test the authorizations of the user who initiated the connection. In order to test if this user has the authorizations to initiate an RFC connection and successfully log in to the target system, go back to your RFC connection parameters screen and use the menu option Utilities | Test | Authorization Test.

    This test should be successful as well before you can proceed with your work in the target ABAP system or use this connection for noninteractive login by application. You can use the similar procedure to create RFC connections to different ABAP systems in your SAP system landscape. Please note that a successful authorization test is mandatory, as this test executes a user login along with password verification and authorization test in the target RFC-connected system. A successful authorization test ensures that the RFC connection is completely ready for use in an application.

     RFC connection entries Figure 4-3 RFC connection entries

    Several other RFC connection types are used to integrate the SAP system landscape. The RFC connection type “T” refers to starting an external program using TCP/IP. One example of such need in a SAP system landscape integration scenario is within the SAP Process Integration application. In this scenario the Process Integration (PI) ABAP components integrate with the SAP PI Java component using this connection type.

    The SAP PI ABAP system integrates with the SAP Java–based PI component referred to as the System Landscape Directory (SLD) using an RFC connection called SAPSLDAPI. Figure 4-6 shows the details that have to be entered in setting up a TCP/IP RFC connection type. In this type of connection, a registered server program ID is entered in the RFC connection on the ABAP side, and the exact same entry is made in the JCO RFC provider service on the Java side. Once the settings are complete, the connection test can be executed.

    Login fields in maintaining an RFC connection Figure 4-4 Login fields in maintaining an RFC connection

    Table 4-3 lists all available RFC connection types that are used in the integration of SAP and different applications in an organization.

    One of the common problems encountered while integrating older SAP releases with SAP releases starting with NW 7.0 is the changes to the password rules. Starting with NW 7.0, SAP supports a password length up to 40 characters and differentiates between uppercase and lowercase passwords. Earlier SAP releases supported a password length of eight characters and any lowercase passwords were automatically converted to uppercase. In order to resolve this issue easily, it is recommended to use an uppercase password of up to eight characters in length where you are integrating a newer SAP release into older SAP releases in a system landscape. OSS Notes 1023437 and 862989 provide additional details and recommendations for passwords that will help with integrating older SAP releases into the newer release landscape.


    SAPconnect allows a SAP ABAP system to send external communication to systems such as a SAP-certified fax, page, and e-mail solutions. SAPconnect can be set up using transaction code SCOT. The following procedure is used to set up a Simple Mail Transport Protocol (SMTP) connection so that e-mails can be sent from SAP applications to external e-mailsystems. The integration settings are performed in transaction code SCOT. Enter transaction code SCOT, double-click the SMTP node, and enter the configuration as per Figure 4-7.

     Successful connection test Figure 4-5 Successful connection test RFC ConnectionType Description I ABAP systems connected to the same database 3 Connection to other R/3-based ABAP system 2 Connection to other R/2-based ABAP system L Logical connection referring to other physical RFC connection S Start external program using IBM SNA (System Network Architecture) X Connection via ABAP driver routines or ABAP device drivers M Asynchronous RFC connections to ABAP systems using CMC (X.400 protocol) H HTTP connection to an ABAP system G HTTP connection to an external server

    Table 4-3 SAP RFC Connection Types

    SAP RFC connection type T Figure 4-6 SAP RFC connection type T

    Change the mail host for your environment. Click the Set button beside the Internet address type, type an asterisk (*) in the address area, and click either the check mark icon or Enter. After this step click Continue. Next, schedule a send job by clicking the Job icon on the top or pressing shift–f7 and clicking and choosing the schedule job for all address types. Choose Schedule Immediately, leave the other defaults, and continue. This will schedule the send job. Next, make sure you maintain the e-mail address of the users in SU01 transaction. You can monitor the sent jobs by using the SOST transaction code.

    SCOT configuration Figure 4-7 SCOT configuration Application Link Enabling/Electronic Data Interchange (ALE/EDI)

    The basis of this ALE (SAP-to-SAP business data exchange) and EDI (SAP-to-EDI system business data exchange) communication mechanism is the Intermediate Documents (IDOC). An IDOC acts as a data container facilitating the exchange of business information between SAP systems and non-SAP systems. The basis of IDOC generation is the message types. Message types identify the usage of specific business data. One example of a SAP standard message type is “CREMAS.” CREMAS is the vendor master data distribution message type. Transaction code WE81 shows all the message types that have been delivered along with the SAP standard install and customer-created ones as well.


    SAProuter is an SAP program that is used to securely connect to the SAP support. There is a SAProuter program running on both the customer site and the SAP support organization site. The SAProuter program is installed inside the firewall and acts as an “application level gateway.” This adds another layer of network security for both the SAP customer and SAP. More specific details will be discussed in Chapter 20.

    SAP EPR Integration with Other Business Suite Applications

    This group of SAP business applications includes SAP Business Suite 7 (SAP ERP 6 with EhP4, SAP SRM 7.0, SAP CRM 7.0, SAP SCM 7.0, and SAP PLM 7.0). SAP ERP 6 integrates with the other SAP Business Suite applications, primarily with the RFC connections. Each of the Business Suite applications in this group has special interfaces, but the underlying communication mechanism is via RFC connection over TCP/IP protocol.

    SAP ERP Integration with Other NetWeaver Applications

    SAP ERP 6 integration with other NetWeaver applications, such as SAP BW 7.0, SAP NetWeaver Portal 7.0, and SAP PI 7.1, is based on RFC connections as well.

    SAP ERP Integration with Other Third-Party Enterprise Applications

    SAP ERP 6 integrates with a number of third-party solutions, each performing an enterprisewide service. RFC connections are used to integrate these tools with SAP ERP 6 systems, and SAP usually provides the interfaces to these third-party tools. Third-party vendors also work closely with SAP, who provides certification of their products. Some of the SAP-certified third-party products include

  • Tivoli This is an IBM product certified with SAP for performing activities such asbackup and monitoring capabilities.
  • Autosys This provides enterprise-wide job scheduling functions.
  • FileNet This provides archiving capabilities.
  • Open View This provides enterprise-wide monitoring and reporting capabilities.
  • Mercury ITG This provides change management capabilities.
  • uPerform This provides training solutions for SAP end users.
  • Topcall This provides faxing capabilities.
  • Taxware This provides sales and use tax calculation for SAP systems.
  • D&B This provides the business credit check capabilities for SAP systems.
  • This list is not comprehensive. Several hundreds of third-party enterprise-wide solutions are certified by SAP and can be integrated using one of the communication protocols discussed in this chapter. Table 4-4 provides the SAP certified partner directory link. This link will help SAP customers search for all SAP-certified third-party products. Some of the third-party tools require some additional configuration at setup before they can be used. Each of the third-party vendors publishes an install and configuration guide providing details of the third-party connector tool and the communication setup that is required before using the tool with the SAP solutions.

    Table 4-4 Links to SAP-Certified Third-Party Products

    SAP Business Suite Integration with Solution Manager

    With the growing number and complexity of SAP business applications, it is becoming difficult to administer and operate the solution in an effective manner. SAP Solution Manager is recommended as a central system for all administration and monitoring activities of the SAP system landscape of an organization. SAP has delivered a number of capabilities in the SAP Solution Manager such as change and transport management, service desk functionality, monitoring and reporting capabilities, Central User Administration (CUA), hosting central System Landscape Directory (SLD), enterprise-wide NetWeaver administration, and end-toend root cause analysis with tools such as Solution Manager Diagnostics (SMD) and Wily Introscope to help manage the entire landscape. More specific details will be discussed in Chapter 20.

    SAP Solution Integration with Enterprise-Wide Operations

    One of the key points from an operational perspective when integrating a complex system such as SAP is to integrate it effectively with existing enterprise solutions of a given organization so that the operations of the solution will be effectively managed by the enterprise-wide operations team. Different enterprise-wide third-party tools are integrated with the new SAP system, and the escalation procedures are documented and widely distributed so that the operations team can provide the agreed service level agreements (SLA) to the business side of the organization. Usually, the operations team is trained in the new SAP product’s basic operations, such as taking backups, resetting user passwords, scheduling jobs, and addressing printing issues. The operations team will escalate the issue to an in-house expert to resolve a reported SAP issue.

    SAP Solution Integration with SAP Support

    SAP is a complex business solution and needs support from SAP resources from time to time. SAP Solution Manager is integrated into the SAP support organization via a SAProuter connection. SAP support resources can be granted access to the customer’s SAP systems by the customer’s system administrators using this SAProuter connection. Usually, the support process starts with an internal help desk ticket logged by an end user reporting an SAP issue. Solution Manager service desk functionality or a third-party enterprise-wide help desk solution such as Unicenter is used for logging the help desk tickets. Internal SAP experts at the organization will first try and resolve the reported problem. If this is not possible, an SAP message is logged by the customer at the SAP portal (http// SAP resources log into client systems if required to resolve the reported issue.

    SAP Solution Integration with EDI and Other External Vendors

    SAP Solution Manager integrates and exchanges data with external vendors’ EDI systems using integration products such as Gentran. Gentran is one of the leading EDI and data translation solutions.

    SAP PI as an Enterprise Integration Hub

    SAP Process Integration is intended as an integration hub for all of the organization’s interfaces. PI 7.1 is the most current release and includes a number of performance improvements, with service-oriented architecture capabilities, and is well positioned to standardize and optimize all of the enterprise interface requirements. It avoids point-to-point interface connections and uses native integration capabilities between different SAP solutions, which helps reduce integration costs in a client’s landscape.

    Service-oriented architecture (SOA) is emerging as a standard for developing interfaces in an organization. In SOA, interfaces are developed as enterprise services so that they can be consumed by a number of other applications across the enterprise. SOA is an architectural standard that requires the functionality of the interfaces be published as a service in a platform-independent fashion.

    SAP provides a methodology referred to as Enterprise SOA to implement SOA projects that includes additional capabilities that help clients build business solutions that have a lot of reuse capabilities within an enterprise. Enterprise SOA includes the following stages in a service interface development lifecycle:

  • Business requirements gathering
  • Service modeling
  • Service definition
  • Service implementation
  • Service publishing
  • Service consumption
  • SAP PI provides SOA tools for facilitating organizations to build and consume enterpriseservices. Different components of the SAP PI 7.1 systems are shown in Figure 4-8.

    SAP PI 7.1 system and integration components Figure 4-8 SAP PI 7.1 system and integration components

    Enterprise Service Repository Enterprise Service Repository (ESR) is a repository for the enterprise service inventory of assets built by an organization over time. This includes tools such as Enterprise Services Builder and Services Registry. Enterprise Services Builder helps to build enterprise services based on enterprise SOA standards. The services are then published in the Services Registry for enterprise-wide consumption.

    System Landscape Directory (SLD) System Landscape Directory (SLD) is a central provider of all software product and component definitions to the ESR. New software product and component definitions are created in SLD and are exported to the ESR to begin the development of the service interfaces.

    Integration Directory Integration Directory is the central configuration tool that helps in configuring message processing, communication and security, and routing rules for message flow.

    Configuring and Monitoring Runtime Workbench and NetWeaver Administrator (NWA) are two tools provided by SAP for monitoring and administering the PI solution. SAP is moving more monitoring and administration capabilities to the NWA tool, consistent with centralizing these activities across the entire SAP solution in a client landscape.

    Integration Server Integration Server is the runtime environment for the service interfaces and is installed as an ABAP component. Other PI components, such as ESR, SLD, and ID, are installed as Java applications.

    Advanced Adapter Engine This component consists of a number of adapters, such as the file adapter, IDOC adapter and JMS adapter. Theses adapters provide built-in mediation, mapping, queuing, and other capabilities between provider and consumer business applications. Advanced Adapter Engine can be installed as a central adapter engine along with Integration Server, or as a separate installation.

    Enterprise Service Bus Enterprise Service Bus (ESB) is an enterprise SOA environment combining the different service providers and consumers on a single communication infrastructure that provides functions such as runtime services, thereby enabling service-based communication. The SAP PI solution with all the aforementioned capabilities is thus emerging as a central service interface hub for organizations.

    Kubernetes vs. Docker Swarm: A Complete Comparison Guide | real questions and Pass4sure dumps

    Learn how to migrate and modernize stateless applications and run them in a Kubernetes cluster.

    There are a countless number of debates and discussions talking about Kubernetes and Docker. If you have not dived deep, you would think that both of the open-source technologies are in the fight of the container supremacy. Let’s make it clear that, Kubernetes and Docker Swarm are not rivals! Both have their own pros and cons and can be used depending on your application requirements.

    Image title

    In this article, more light is shed upon these questions:

  • How have Kubernetes and Docker changed the era of software development?

  • How has it revolutionized the way of DevOps consulting?

  • Although they are different, how they can unify the processes of development and integration?

  • What restrictions come to the scenario?

  • If you are looking to develop for modern cloud infrastructure or looking for DevOps implementation, then understanding of the full concept ofs Kubernetes and Docker is a must. This comprehensive article will take you on the journey of Kubernetes vs. Docker Swarm from scratch and will help you to answer to each of the important questions.

    Container, Containerization and Container Orchestration – A Quick Intro

    A container is the software package that contains an application’s code, configurations, and dependencies which delivers operational efficiency and productivity. Here, you can know exactly how it will run which means it is predictable, repeatable, and immutable. The rise of containers has been a huge enabler for DevOps as a Service and can overcome the largest security hurdles faced today.

    Containerization makes the applications portable by virtualizing at the operating-system level, creating isolated, encapsulated systems which are kernel based. Containerized apps can be dropped in anywhere and run without dependencies or requiring an entire VM, eliminating dependencies.

    But what if there are multiple containers?

    Here container orchestration is needed!

    Container orchestration is the process that can typically deploy multiple containers to implement an application through automation. Platforms like Kubernetes and Docker Swarm are the container management and container orchestration engines that enable users to guide container deployment and automate updates, health monitoring, and failover procedures.

    This all sounds really nice, but how do you actually use tools and build a container?

    Let’s begin with Docker.


    “Build, Ship, and Run Any App Anywhere”

    Docker is a container management service which helps developers to design applications and make it easier to create, deploy and run applications by using containers. Docker has a built-in mechanism for clustering containers, called “swarm mode.” With swarm mode, you can use Docker Engine to launch application across multiple machines.

    Docker Swarm – Tool to Manage Docker Containers

    Docker Swarm is Docker’s own native clustering solution for Docker containers which has an advantage of being tightly integrated into the ecosystem of Docker and uses its own API. It monitors the number of containers spread across clusters of servers and is the most convenient way to create clustered docker application without additional hardware. It provides you with a small-scale but useful orchestration system for the Dockerized app.

    Pros of Using Docker Swarm
  • Runs at a faster pace: When you were using a virtual environment, you may have realized that it takes a long time and includes the tedious procedure of booting up and starting the application that you want to run. With Docker Swarm, this is no longer a problem. Docker Swarm removes the need to boot up a full virtual machine and enables the app to run in a virtual and software-defined environment quickly and helps in DevOps implementation.

  • Documentation provides every bit of information: The Docker team stands out when it comes to documentation! Docker is rapidly evolving and has received great applause for the entire platform. When a version gets released at a short interval of time, some platform don’t maintain documentation. But Docker Swarm never compromises with it. If the information only applies to the certain versions of Docker Swarm, the documentation makes sure that all information is updated.

  • Provides simple and fast configuration: One of the key benefits of Docker Swarm is that it simplifies the matter. Docker Swarm enables the user to take their own configuration, put it into a code and deploy it without any hassle. As Docker Swarm can be used in various environments, requirements are just not bound by the environment of the application.

  • Ensures that application is isolated: Docker Swarm takes care that each container is isolated from the other containers and has its own resources. Various containers can be deployed for running the separate application in different stacks. Apart from this, Docker Swarm cleans app removal as each application runs on its own container. If the application is no longer required, you can delete its container. It won’t leave any temporary or configuration files on your host OS.

  • Version control and component reuse: With Docker Swarm, you can track consecutive versions of a container, examine differences or rollback to the preceding versions. Containers reuse the components from the preceding layers which makes them noticeably lightweight.

  • Cons of Using Docker Swarm
  • Docker is platform dependent: Docker Swarm is a Linux-agonistic platform. Although Docker supports Windows and Mac OS X, it utilizes virtual machines to run on a non-Linux platform. An application which is designed to run in a Docker container on Windows can’t run on Linux and vice versa.

  • Doesn’t provide storage option: Docker Swarm doesn’t provide a hassle-free way to connect containers to storage and this is one of the major disadvantages. Its data volumes require a lot of improvising on the host and manual configurations. If you’re expecting Docker Swarm to solve the storage issues, it may get done but not in an efficient and user-friendly way.

  • Poor monitoring: Docker Swarm provides the basic information about the container and if you are looking for the basic monitoring solution than Stats command is suffice. If you are looking for the advanced monitoring then Docker Swarm is never an option. Although there are third-party tools available like CAdvisor which offers more monitoring, it is not feasible to collect more data about containers in real-time with Docker itself

  • To Avoid These Shortfalls, Kubernetes Can be Used

    Automated Container Deployment, Scaling and Management Platform

    When an application is developed with the diverse components across numerous containers on several machines, there is a need for the tool to manage and orchestrate the containers. This is only feasible with the help of Kubernetes.

    Kubernetes is an open source system for managing containerized application in a clustered environment. Using Kubernetes in a right way helps the DevOps as a Service team to automatically scale up-down the application and update with the zero downtime.

    Pros of using Kubernetes
  • Its fast: When it comes to continuously deploy new features without downtime, Kubernetes is a perfect choice. The goal of the Kubernetes is to update an application with a constant uptime. Its speed is measured through a number of features you can ship per hour while maintaining an available service.

  • Adheres to the principals of immutable infrastructure: In a traditional way, if anything goes wrong with multiple updates, you don’t have any record of how many updates you deployed and at which point error occurred. In immutable infrastructure, if you wish to update any application, you need to build container image with a new tag and deploy it, killing the old container with old image version. In this way, you will have a record and get an insight of what you did and in-case if there is any error; you can easily rollback to the previous image.

  • Provides declarative configuration: User can know in what state the system should be to avoid errors. Source control, unit tests etc. which are traditional tools can’t be used with imperative configurations but can be used with declarative configurations.

  • Deploy and update software at scale: Scaling is easy due to its immutable, declarative nature of Kubernetes. Kubernetes offers several useful features for scaling purpose:

  • Horizontal Infrastructure Scaling: Operations are done at the individual server level to apply horizontal scaling. The atest servers can be added or detached effortlessly.

  • Auto-scaling: Based on the usage of CPU resources or other application-metrics, you can change the number of containers that are running

  • Manual scaling: You can manually scale the number of running containers through a command or the interface

  • Replication controller: The Replication controller makes sure that cluster has a specified number of equivalent pods in a running condition. If there are too many pods, the replication controller can remove extra pods or vice-versa.

  • Handles the availability of the application: Kubernetes checks the health of nodes and containers as well as provides self-healing and auto-replacement if in-case pod crashes due to an error. Moreover, it distributes the load across multiple pods to balance the resources quickly during accidental traffic.

  • Storage Volume: In Kubernetes, data is shared across the containers, but if pods get killed volume is automatically removed. Moreover, data is stored remotely, so if the pod is moved to another node, the data will remain until it is deleted by the user.

  • Cons of Using Kubernetes
  • Initial process takes time: When a new process is created, you have to wait for the app to commence before it is available to the users. If you are migrating to Kubernetes, modifications in the code base need to be done to make a start process more efficient so that users don’t have a bad experience.

  • Migrating to stateless requires much effort: If your application is clustered or stateless, extra pods will not get configured and will have to rework on the configurations within your applications.

  • The installation process is tedious: It is difficult to set up Kubernetes on your cluster if you are not using any cloud provider like Azure, Google or Amazon.

  • Kubernetes vs. Docker Swarm: A Quick Summary  Docker Swarm Kubernetes Developed By Docker Inc Google Year Released 2013 2014 Companies using Bugsnag,  Bluestem Brands, Hammerhead, Code Picnic, Dial once etc. Asana, Buffer, CircleCI, Evernote, Harvest, Intel, Starbucks, Shopify etc. Controller Manager Master Storage Volumes Persistent and Ephermal Public Cloud Service Provider Google, Azure, AWS, OTC Azure Compatibility Less Extensive and Customizable More Extensive and highly customizable Installation Easy to set up Takes time for installation Tolerance ratio Low Fault Tolerance High fault tolerance Large Clusters Speed is considered for the strong cluster states Provides container deployment and scaling even in large clusters without considering the speed Load Balancing Provides load balancing when pods in the container are defined as service Provides automated internal load balancing through any node in the cluster Deployment unit Task Pod Port Published Port Endpoint Network Overlay Flat Networking space Community Active user base that regularly updates images for various application Enjoys strong support from open source communities and big companies like Google, Amazon, Microsoft, and IBM Weakness No certification plan for vendors. Most organization need commercially certified version Inclined towards developers than central IT Strengths Mostly controlled by a single vendor who can decide product direction Clear market leader; largest adoption and interest Slave Worker Nodes Container set up Functionality is provided and limited by Docker API Client API and YAML are unique in Kubernetes Scalability Quick container deployment and scaling even in large containers

    Provides strong guarantees to the cluster states at expense of speed

    Docker and Kubernetes Are Different, but Not Rivals

    As discussed earlier, Kubernetes and Docker both work at the different level but both can be used together. Kubernetes can be integrated with the Docker engine to carry out the scheduling and execution of Docker containers. As Docker and Kubernetes are both container orchestrators, both can help to manage the number containers and also help in DevOps implementation. Both can automate most of the tasks that are involved in running containerized infrastructure and are open source software projects, governed by an Apache License 2.0. Apart from this, both use YAML – formatted files to govern how the tools orchestrate container clusters. When both of them are used together, both Docker and Kubernetes are the best tools for deploying modern cloud architecture. With the exemption of Docker Swarm, both Kubernetes and Docker complement each other.

    Kubernetes uses Docker as the main container engine solution and Docker recently announced that it can support Kubernetes as the orchestration layer of its enterprise edition. Apart from this, Docker approves certified Kubernetes program, which makes sure that all Kubernetes API functions as expected. Kubernetes uses the features of Docker Enterprise like Secure Image management, in which Docker EE provides image scanning to make sure if there is an issue in the image used in the container. Another is Secure Automation in which organizations can remove inefficiencies such as scanning image for vulnerabilities.

    Kubernetes or Docker: Which is the Perfect Choice? Use Kubernetes if:
  • You are looking for mature deployment and monitoring option

  • You are looking for fast and reliable response times

  • You are looking to develop a complex application and requires high resource computing without restrictions

  • You have a pretty big cluster

  • Use Docker if,
  • You are looking to initiate with a tool without spending much time on configuration and installation;

  • You are looking to develop a basic and standard application which is sufficient enough with default docker image;

  • Testing and running the same application on the different operating system is not an issue for you;

  • You want zdocker API experience and compatibility.

  • Final Thoughts: Kubernetes and Docker are Friends

    Whether you choose Kubernetes or Docker, both are considered the best and possess considerable differences. The best way to decide between the two of them is probably to consider which one you already know better or which one fits your existing software stack. If you need to develop the complex app, use Kubernetes and if you are looking to develop the small-scale app, use Docker Swarm. Moreover, choosing the right one is a very comprehensive task and solely depends on your project requirements and target audience as well.


    kubernates ,docker ,devops ,devops solutions ,software development ,comparision ,cloud

    Installing Spark in Standalone Mode | real questions and Pass4sure dumps

    This chapter is from the book 

    In this section I will cover deploying Spark in Standalone mode on a single machine using various platforms. Feel free to choose the platform that is most relevant to you to install Spark on.

    Getting Spark

    In the installation steps for Linux and Mac OS X, I will use pre-built releases of Spark. You could also download the source code for Spark and build it yourself for your target platform using the build instructions provided on the official Spark website. I will use the latest Spark binary release in my examples. In either case, your first step, regardless of the intended installation platform, is to download either the release or source from:

    This page will allow you to download the latest release of Spark. In this example, the latest release is 1.5.2, your release will likely be greater than this (e.g. 1.6.x or 2.x.x).

    Installing a Multi-node Spark Standalone Cluster

    Using the steps outlined in this section for your preferred target platform, you will have installed a single node Spark Standalone cluster. I will discuss Spark’s cluster architecture in more detail in Hour 4, “Understanding the Spark Runtime Architecture.” However, to create a multi-node cluster from a single node system, you would need to do the following:

  • Ensure all cluster nodes can resolve hostnames of other cluster members and are routable to one another (typically, nodes are on the same private subnet).

  • Enable passwordless SSH (Secure Shell) for the Spark master to the Spark slaves (this step is only required to enable remote login for the slave daemon startup and shutdown actions).

  • Configure the spark-defaults.conf file on all nodes with the URL of the Spark master node.

  • Configure the file on all nodes with the hostname or IP address of the Spark master node.

  • Run the script from the sbin directory on the Spark master node.

  • Run the script from the sbin directory on all of the Spark slave nodes.

  • Check the Spark master UI. You should see each slave node in the Workers section.

  • Run a test Spark job.

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    Avaya [96 Certification Exam(s) ]
    AXELOS [1 Certification Exam(s) ]
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    CSP [1 Certification Exam(s) ]
    CWNA [1 Certification Exam(s) ]
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    Nokia [6 Certification Exam(s) ]
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    Novell [37 Certification Exam(s) ]
    OMG [10 Certification Exam(s) ]
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    PEOPLECERT [4 Certification Exam(s) ]
    PMI [15 Certification Exam(s) ]
    Polycom [2 Certification Exam(s) ]
    PostgreSQL-CE [1 Certification Exam(s) ]
    Prince2 [6 Certification Exam(s) ]
    PRMIA [1 Certification Exam(s) ]
    PsychCorp [1 Certification Exam(s) ]
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    SAP [98 Certification Exam(s) ]
    SASInstitute [15 Certification Exam(s) ]
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    SCO [10 Certification Exam(s) ]
    SCP [6 Certification Exam(s) ]
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    See-Beyond [1 Certification Exam(s) ]
    Siemens [1 Certification Exam(s) ]
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    SpringSource [1 Certification Exam(s) ]
    SUN [63 Certification Exam(s) ]
    SUSE [1 Certification Exam(s) ]
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    Teacher-Certification [4 Certification Exam(s) ]
    The-Open-Group [8 Certification Exam(s) ]
    TIA [3 Certification Exam(s) ]
    Tibco [18 Certification Exam(s) ]
    Trainers [3 Certification Exam(s) ]
    Trend [1 Certification Exam(s) ]
    TruSecure [1 Certification Exam(s) ]
    USMLE [1 Certification Exam(s) ]
    VCE [6 Certification Exam(s) ]
    Veeam [2 Certification Exam(s) ]
    Veritas [33 Certification Exam(s) ]
    Vmware [58 Certification Exam(s) ]
    Wonderlic [2 Certification Exam(s) ]
    Worldatwork [2 Certification Exam(s) ]
    XML-Master [3 Certification Exam(s) ]
    Zend [6 Certification Exam(s) ]

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