Croma Campus Pvt. Ltd.

? Performance Testing {Non Functional Testing Requirements} • Total User Base (Total Number of Users) • Concurrent User Load • Business Processes ( Performance Scenarios) • Service Level Agreement (Performance - Service Level Agreement) ? Understand Performance Acceptance Criteria • Response Time • Throughput • Resource utilization ? Understand Core Activities of Performance Tester using Load Runner • Identify the Test Environment • Performance Acceptance Criteria • Plan and Design Tests • Configure the Test Environment • Implement the Test Design • Execute the Test • Analyze Results, Report, and Retest ? Understand Key Types of Performance Testing • Performance Test • Load Test • Stress Test • Capacity Test ? Components of Load Runner Application Product Name Process Name Launcher LRLauncherApp.exe Virtual User Generator VuGen.exe Controller Wlrun.exe Analysis Analysisui.exe Load Generator Agent Magentservice.exe Magentservice.exe Mdrv.exe Tuning Console Protune.exe ? Understand How Load Runner Works ? Understand Load Runner Architecture ? Best Practice in Performance Testing using Load Runner ? Load Runner Framework ? How Does a Web Performance Test Tool Work with HTTP? Virtual User Generator – VuGenV11.5 ? Recording Options • HTML Recording Mode • URL Recording Mode • GUI Recording Mode ? VuGen Runtime Settings • Think Time • Pacing • Run Logic • Log • Automatic Transactions • Run each Vuser as a Thread • Run each Vuser as a Process ? Action files in LoadRunner • vuser_init • Action • vuser_end • Create multiple Actions for a Web Script • Configure Actions to achieve Load Testing Goals ? Introduction to Script View • Identify when Script view is necessary • Send customized output messages to the Replay Log • Identify basic C code including statements, variables and functions • Apply basic debugging techniques in VuGen ? Transaction Points • Transaction Response Time • Transaction Response Time encompass ? Processing Time on Web Server ? Processing Time on Application Server ? Processing Time on Database Server ? Network latency between the Servers and the Client • Functions used to calculate the Transaction Response Time ? lr_start_transaction("Variable Name"); ? lr_end_transaction(“Variable Name”, LR_AUTO); ? lr_end_transaction(“Variable Name”, LR_PASS); ? lr_end_transaction(“Variable Name”, LR_FAIL); • How do you add Tansactions in LoadRunner Vugen ? During Recording :Add Start Transactions and End Transactions ? After Recording : By Functions ? After Recording : By Tree view ? After Recording : By Script view ? Correlation : Correlation is the way handling "Dynamic Values" in Client Server Communication ? Correlation Techniques • Manual Correlation : web_reg_save_param("Param name", "LB=" , "RB=", LAST) • Automatic Correlation ? Correlation during Recording ? Correlation after Record and Replay (also know as Correlation Scan) ? Parameterization ? Objectives of Parameterization • Solve Date constraints that may occur during playback • Solve data caching that may occur during playback • Solve unique constraints that may occur during playback • Solve data dependency that may occur during playback • Emulate real user activity • Exercise the server ? How to Create Parameters ? Parameter Customization ? Checkpoints - Validating Response • Function to be used as Text Checkpoint : Web_reg_find("text=expected string on the page", LAST); ? Load Runner Protocol Bundle ? LoadRunner Environment-In general you can use one machine by installing all the components one box • One Machine: Installing all the components one box • Multiple Machine: Installing Load generators on multiple machines ? Rendezvous Point ? Difference between Standard and Extended Log ? Common Functions used in LR • web_reg_find • web_reg_save_param • lr_end_transaction • lr_start_transaction • lr_debug_message • lr_error_message • lr_log_message • lr_output_message • lr_think_time • lr_rendezvous Load Runner - Controller ? Introduction to Controller ? Introduction to Scenarios • Manual Scenario • Goal Oriented Scenario • How to choose the Scenario • How to design the Scenario ? Options in Goal Oriented Scenarios • Number of Vusers (Concurrent) • Number of Transactions/Second • Number of Hits/Second • Number of Pages/Minute • Transaction Response time ? Scenario Execution • Prepare for a Scenario Run • Identify Techniques to efficiently Run a Scenario ? Scenario Scheduling • Scheduling by Group and by Scenario • Configure Scenario Ramp Up and Ramp Down • Adding Monitors in Controller Load Runner - Analysis ? Introduction to Analysis ? How Analyze Client Side and Server Side Metrics ? Different options in graphs like Merging Graphs and Preparing PDF and HTML Reports ? How many types of graphs are available in LoadRunner and what are they ? How can Performance bottlenecks be identified ? Adding graphs in Analysis and Creating Reports ? Diagnose errors with LoadRunner ? How to Calculate 90th Percentile Response Time LoadRunner Analysis Report Performance Requirements : Application : BSE - 1000 Stock Brokers 10 AM sharp - 991 users in the Application What are the business processes that need to be tested for performance: Consider only 4 to 5 business process for performance testing. Critical functionalities - Buy Shares, Sell Shares, View Balance, Create Policy, Update Policy and View Policy What is expected Response time for application : 4 sec Exceptions : Running a Report: 12 sec Click on Checkout : 3 sec Login : 5 sec Max CPU it can reach in peak load: 80 % or 70 % Min available memory on Application Server and Database Server: 1 GB should be available Servers are in US Users are in India Network Latency - 4 Sec

Big Data & Apache Hadoop Developer Training Highlights: 01. Master the concepts of Hadoop Distributed File System and MapReduce framework 02. Setup a Hadoop Cluster 03. Understand Data Loading Techniques using Sqoop and Flume 04. Program in MapReduce (Both MRv1 and MRv2) 05. Learn to write Complex MapReduce programs 06. Program in YARN (MRv2) 07. Perform Data Analytics using Pig and Hive 08. Implement HBase, MapReduce Integration, Advanced Usage and Advanced Indexing 09. Have a good understanding of ZooKeeper service 10. New features in Hadoop 2.0 -- YARN, HDFS Federation, NameNode High Availability 11. Implement best Practices for Hadoop Development and Debugging 12. Implement a Hadoop Project 13. Work on a Real Life Project on Big Data Analytics and gain Hands on Project Experience Become a Certified Big Data Professional : Cloudera-Hadoop Certification (CCD-410) Training Hours : 40 Hrs. Please share your email address & contact number so that we can discuss on the same. Regards, Croma Campus Team