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My article “Database Performance by the Numbers” (in the January 2000 issue of MC) generated a lot of feedback. As I had hoped, many readers downloaded the code and ran the tests themselves and were kind enough to send me their results. This article addresses some of the criticisms raised about the benchmark and also gives a fresh perspective on the problems with AS/400 date and time stamp data types.

Your Test Table Is Too Small

I’ll admit that the WEBTEMP2 table used in the test did not have a lot of records, but that does not matter. I did the tests with 6,000 records, 12,000 records, 50,000 records, and 100,000 records; the records-per-second measurements were the same no matter how the table scaled. I was looking at the overhead of the programming environment and access method. Yes, the object was placed into memory, so I was looking at the overhead of the programming language mechanism and access method, not how fast the AS/400 read data from a disk drive. I did not care about disk I/O; I wanted to know how expensive the language and access method was.

RPG Can Do Calculated Fields Using OPNQRYF

Yes, that is true. However, Open Query File (OPNQRYF) does not support some of the calculations and scalar functions available in SQL. OPNQRYF is also a dead end: IBM will not allow access to views using new SQL features with OPNQRYF beyond what is available in V4R5. Also, in the test looking at the overhead of the access mechanism and programming language, calculated fields are going to be overhead of the database manger, not the programming language and access method. I would, however, like to test OPNQRYF against SQL in the future and welcome ideas from readers on the types of queries and functions they would like to see tested.

You Should Have Used an Access Path in Your Query

OK. But this was not a test of how fast the AS/400 can read data using an access path. This was a test of the overhead of a programming language and the access method used.


You Didn’t Read the REQTS Field in the RPG Program

One reader pointed out that the RPG SQL program was not reading the REQTS field into his result sets like all of the other programs in the benchmark. Yikes, this is true! I will be the first to admit that I am not an RPG programmer, but I should have caught that one. What’s funny is that several people at MC, IBM Rochester, and IBM Toronto looked at the code for this article, and no one caught that difference.

Both RPG programs were tasked to read the fields from the WEBTEMP2 file and load them into an array. Both programs were loading all fields except the REQTS time stamp field, so their numbers were not comparable to those of the other programs. So I modified the programs to retrieve the results: RPG using SQL, 24,377 records per second; RPG using record-level access (RLA), 13,244 records per second.

I found a lot of interesting things when I changed the program to grab the time stamp data into the array. The records-per-second times did fall, but SQL was still almost twice as fast as RLA. So I did additional tests in which I converted the time stamp field into a character representation of a time stamp. Guess what? SQL and RLA ran at almost the same speed. So there seems to be a problem with RLA reading time stamp fields, since it’s half the speed of SQL when doing so.

To explore these performance differences, I made several copies of the WEBTEMP2 table. In one copy, I changed the data type of the REQTS field from time stamp to char(27). In another copy, I changed the REQTS field from a time stamp to a date. Finally, I changed the REQTS field from a date into a char(10) column to hold the date value. I then made multiple copies of my SQL and RLA programs and modified them to read the various table copies, to test the performance of converting date and time stamp values. Figure 1 shows the results.

What’s interesting is that RLA is faster than SQL when the data is not a date or time stamp, and SQL is twice as fast as RLA when the field is a date or time stamp. Also, note that there is significant overhead associated with reading the time stamp and date columns in SQL. An SQL program reading a time stamp as a char(26) can read 50,000 records in 652 milliseconds. The same program reading the data as a time stamp field requires 1,910 milliseconds to do the same operation. It takes 2.9 times as long to read a time stamp as a character representation of a time stamp.

Now look at the record-level access times. Reading a char(26) representation of the time stamp, RLA reads 50,000 records in 487 milliseconds. It takes 7.5 times longer (using RLA) to read the same number of records if the data is stored in a time stamp column. This is “patheticsad,” which means it is both pathetic and sad at the same time.

Why does it take so much longer to read the time stamp and date columns? It has to be something in the way the AS/400 is converting the date and time stamp from the stored representation to the program representation of the data type. You see, the time stamp and date columns store the date portion as a 4-byte integer, called a Scaliger number. This type of date reckoning, called Julian Period, was invented by Joseph Justus Scaliger (1540-
1609). Scaliger named his dating scheme after his father, Julius, who was an Italian physician and scholar. Scaliger’s date system has day number one beginning at noon on January 1, 4713 B.C. This date represents when three major cycles began on the same day: the 28-year solar cycle, the 19-year lunar cycle, and the 15-year Roman tax calendar (called the indiction cycle).

Since the AS/400 uses the Scaliger dating system to store dates in the database, to format a Scaliger date into a string representation of the date requires several division operations. How well you write this conversion can significantly change the speed at which you can manipulate date and time stamp columns. Also affecting this is how well your machine can do integer arithmetic, since the AS/400 most likely stores this data as a 4-byte integer.

Figure 2 shows some simple programs I wrote to test the performance of packed, zoned, binary integer, and floating-point division on my AS/400 in RPG. Notice that there


is a huge difference between the division of floating-point numbers and decimal and binary integer numbers. To further complicate this, I did the test in C using a long, which is a 32- bit integer, and achieved a time of 636 milliseconds on 1,000,000 calculations. Then I tested casting the 32-bit integer into a double-precision number before performing the calculation, and the processor did the calculation in only 524 milliseconds. This points to two things. First, the RPG compiler is generating very slow integer division code. Second, even with the overhead of casting to floating point in the C program, the processor is very efficient for integer operations. With most chips, you would see a small performance penalty, not a gain, for the conversion I did in the C program. This points to the excellent architecture of the PowerPC chip and how well the C compiler exploits it. It also points that IBM has a lot of work to do on the RPG compiler and the way it handles division operations. This test might also be indicative of the problem in converting the time stamp data type in the RLA programs.

The only conclusion I can draw at this point is that I am not working with a processor limitation on the time required to format time stamp and date fields (as evidenced by the fine times turned in by the C programs and Java programs). I am working with non- optimized code generated by the RPG compiler. This needs to be addressed immediately by IBM. The PowerPC chip is an awesome chip; let’s get some of that performance into our RPG programs.

Another observation you might make from this information is that, even if you are not referencing a date or time stamp field in your code, if you access a file that contains these data types in its field collection, you still have to convert the time stamp and date data types once. This is a byproduct of reading the record using the RLA functions. RLA always buffers the entire record when reading, so conversion must be done at least once. You should consider SQL if you need to access large recordsets of information in a table that contains these data types, as SQL is faster at converting the time stamp and date columns; also, if your program is not accessing these columns in its read, you will avoid the overhead entirely.

Keep Those Letters Coming!

Some have complained that this is not a true benchmark, which is most definitely the case. I’m not IBM Rochester, and the folks at Rochester aren’t sending me any money to design the be-all end-all of performance tests. This is a simple set of programs I cooked up to test one aspect of the AS/400 and its operations: the overhead of the programming language and access method. I will be the first to admit that I am not an RPG programmer, nor a Java expert. I am a simple client/server C/VB/SQL/ODBC guy who wants to find the best way to do operations on the AS/400, because this is the question that I am asked by my customers and readers. This is the second in a series of articles on performance in which
I’m going to look for that information, and I’m going to put the code I use on the Web so that you can test it yourself and send in your tips, tricks, kudos, and admonitions. I don’t claim to have all of the answers, but I know that, if we continue to design simple tests and write them in multiple languages and put the code out to the midrange community, we can all find the answers—and have a lot of fun in the process.

REFERENCES AND RELATED MATERIALS

• The Julian Period information page: http://booksrv2.raleigh.ibm.com/cgi-bin/bookmgr/ bookmgr.exe/NOFRAMES/SCIENCE4.25.3


Method Data Type Seconds

RPG RLA time stamp 3.658 RPG RLA char(26) .487 RPG SQL time stamp 1.910 RPG SQL char(26) .652 RPG RLA date 1.777 RPG RLA char(10) .475 RPG SQL date .881 RPG SQL char(10) .648

Figure 1: These are the results of RPG RLA and SQL versus various data types, reading 50,000 records.

Type Compiler Seconds Ops/Second

Zoned RPG DIV 5.912 169,147 Packed RPG DIV 5.038 198,491 Integer RPG DIV 18.056 5,383 Float RPG DIV .406 2,463,052 Zoned RPG EVAL 37.502 26,665 Packed RPG EVAL 36.827 27,153 Integer RPG EVAL 46.453 21,527 Float RPG EVAL .405 2,469,133 Float C .136 7,352,934 Int C .636 1,572,352 Packed C .867 1,153,401 Float Java .374 2,673,794 Int Java .674 1,483,678

Figure 2: These are the results of RPG, C, and Java doing division with various data types 1,000,000 times.


My article “Database Performance by the Numbers” (in the January 2000 issue of MC) generated a lot of feedback. As I had hoped, many readers downloaded the code and ran the tests themselves and were kind enough to send me their results. This article addresses some of the criticisms raised about the benchmark and also gives a fresh perspective on the problems with AS/400 date and time stamp data types.

Your Test Table Is Too Small

I’ll admit that the WEBTEMP2 table used in the test did not have a lot of records, but that does not matter. I did the tests with 6,000 records, 12,000 records, 50,000 records, and 100,000 records; the records-per-second measurements were the same no matter how the table scaled. I was looking at the overhead of the programming environment and access method. Yes, the object was placed into memory, so I was looking at the overhead of the programming language mechanism and access method, not how fast the AS/400 read data from a disk drive. I did not care about disk I/O; I wanted to know how expensive the language and access method was.

RPG Can Do Calculated Fields Using OPNQRYF

Yes, that is true. However, Open Query File (OPNQRYF) does not support some of the calculations and scalar functions available in SQL. OPNQRYF is also a dead end: IBM will not allow access to views using new SQL features with OPNQRYF beyond what is available in V4R5. Also, in the test looking at the overhead of the access mechanism and programming language, calculated fields are going to be overhead of the database manger, not the programming language and access method. I would, however, like to test OPNQRYF against SQL in the future and welcome ideas from readers on the types of queries and functions they would like to see tested.

You Should Have Used an Access Path in Your Query

OK. But this was not a test of how fast the AS/400 can read data using an access path. This was a test of the overhead of a programming language and the access method used.


You Didn’t Read the REQTS Field in the RPG Program

One reader pointed out that the RPG SQL program was not reading the REQTS field into his result sets like all of the other programs in the benchmark. Yikes, this is true! I will be the first to admit that I am not an RPG programmer, but I should have caught that one. What’s funny is that several people at MC, IBM Rochester, and IBM Toronto looked at the code for this article, and no one caught that difference.

Both RPG programs were tasked to read the fields from the WEBTEMP2 file and load them into an array. Both programs were loading all fields except the REQTS time stamp field, so their numbers were not comparable to those of the other programs. So I modified the programs to retrieve the results: RPG using SQL, 24,377 records per second; RPG using record-level access (RLA), 13,244 records per second.

I found a lot of interesting things when I changed the program to grab the time stamp data into the array. The records-per-second times did fall, but SQL was still almost twice as fast as RLA. So I did additional tests in which I converted the time stamp field into a character representation of a time stamp. Guess what? SQL and RLA ran at almost the same speed. So there seems to be a problem with RLA reading time stamp fields, since it’s half the speed of SQL when doing so.

To explore these performance differences, I made several copies of the WEBTEMP2 table. In one copy, I changed the data type of the REQTS field from time stamp to char(27). In another copy, I changed the REQTS field from a time stamp to a date. Finally, I changed the REQTS field from a date into a char(10) column to hold the date value. I then made multiple copies of my SQL and RLA programs and modified them to read the various table copies, to test the performance of converting date and time stamp values. Figure 1 shows the results.

What’s interesting is that RLA is faster than SQL when the data is not a date or time stamp, and SQL is twice as fast as RLA when the field is a date or time stamp. Also, note that there is significant overhead associated with reading the time stamp and date columns in SQL. An SQL program reading a time stamp as a char(26) can read 50,000 records in 652 milliseconds. The same program reading the data as a time stamp field requires 1,910 milliseconds to do the same operation. It takes 2.9 times as long to read a time stamp as a character representation of a time stamp.

Now look at the record-level access times. Reading a char(26) representation of the time stamp, RLA reads 50,000 records in 487 milliseconds. It takes 7.5 times longer (using RLA) to read the same number of records if the data is stored in a time stamp column. This is “patheticsad,” which means it is both pathetic and sad at the same time.

Why does it take so much longer to read the time stamp and date columns? It has to be something in the way the AS/400 is converting the date and time stamp from the stored representation to the program representation of the data type. You see, the time stamp and date columns store the date portion as a 4-byte integer, called a Scaliger number. This type of date reckoning, called Julian Period, was invented by Joseph Justus Scaliger (1540-
1609). Scaliger named his dating scheme after his father, Julius, who was an Italian physician and scholar. Scaliger’s date system has day number one beginning at noon on January 1, 4713 B.C. This date represents when three major cycles began on the same day: the 28-year solar cycle, the 19-year lunar cycle, and the 15-year Roman tax calendar (called the indiction cycle).

Since the AS/400 uses the Scaliger dating system to store dates in the database, to format a Scaliger date into a string representation of the date requires several division operations. How well you write this conversion can significantly change the speed at which you can manipulate date and time stamp columns. Also affecting this is how well your machine can do integer arithmetic, since the AS/400 most likely stores this data as a 4-byte integer.

Figure 2 shows some simple programs I wrote to test the performance of packed, zoned, binary integer, and floating-point division on my AS/400 in RPG. Notice that there


is a huge difference between the division of floating-point numbers and decimal and binary integer numbers. To further complicate this, I did the test in C using a long, which is a 32- bit integer, and achieved a time of 636 milliseconds on 1,000,000 calculations. Then I tested casting the 32-bit integer into a double-precision number before performing the calculation, and the processor did the calculation in only 524 milliseconds. This points to two things. First, the RPG compiler is generating very slow integer division code. Second, even with the overhead of casting to floating point in the C program, the processor is very efficient for integer operations. With most chips, you would see a small performance penalty, not a gain, for the conversion I did in the C program. This points to the excellent architecture of the PowerPC chip and how well the C compiler exploits it. It also points that IBM has a lot of work to do on the RPG compiler and the way it handles division operations. This test might also be indicative of the problem in converting the time stamp data type in the RLA programs.

The only conclusion I can draw at this point is that I am not working with a processor limitation on the time required to format time stamp and date fields (as evidenced by the fine times turned in by the C programs and Java programs). I am working with non- optimized code generated by the RPG compiler. This needs to be addressed immediately by IBM. The PowerPC chip is an awesome chip; let’s get some of that performance into our RPG programs.

Another observation you might make from this information is that, even if you are not referencing a date or time stamp field in your code, if you access a file that contains these data types in its field collection, you still have to convert the time stamp and date data types once. This is a byproduct of reading the record using the RLA functions. RLA always buffers the entire record when reading, so conversion must be done at least once. You should consider SQL if you need to access large recordsets of information in a table that contains these data types, as SQL is faster at converting the time stamp and date columns; also, if your program is not accessing these columns in its read, you will avoid the overhead entirely.

Keep Those Letters Coming!

Some have complained that this is not a true benchmark, which is most definitely the case. I’m not IBM Rochester, and the folks at Rochester aren’t sending me any money to design the be-all end-all of performance tests. This is a simple set of programs I cooked up to test one aspect of the AS/400 and its operations: the overhead of the programming language and access method. I will be the first to admit that I am not an RPG programmer, nor a Java expert. I am a simple client/server C/VB/SQL/ODBC guy who wants to find the best way to do operations on the AS/400, because this is the question that I am asked by my customers and readers. This is the second in a series of articles on performance in which
I’m going to look for that information, and I’m going to put the code I use on the Web so that you can test it yourself and send in your tips, tricks, kudos, and admonitions. I don’t claim to have all of the answers, but I know that, if we continue to design simple tests and write them in multiple languages and put the code out to the midrange community, we can all find the answers—and have a lot of fun in the process.

REFERENCES AND RELATED MATERIALS

• The Julian Period information page: http://booksrv2.raleigh.ibm.com/cgi-bin/bookmgr/ bookmgr.exe/NOFRAMES/SCIENCE4.25.3


Method Data Type Seconds

RPG RLA time stamp 3.658 RPG RLA char(26) .487 RPG SQL time stamp 1.910 RPG SQL char(26) .652 RPG RLA date 1.777 RPG RLA char(10) .475 RPG SQL date .881 RPG SQL char(10) .648

Figure 1: These are the results of RPG RLA and SQL versus various data types, reading 50,000 records.

Type Compiler Seconds Ops/Second

Zoned RPG DIV 5.912 169,147 Packed RPG DIV 5.038 198,491 Integer RPG DIV 18.056 5,383 Float RPG DIV .406 2,463,052 Zoned RPG EVAL 37.502 26,665 Packed RPG EVAL 36.827 27,153 Integer RPG EVAL 46.453 21,527 Float RPG EVAL .405 2,469,133 Float C .136 7,352,934 Int C .636 1,572,352 Packed C .867 1,153,401 Float Java .374 2,673,794 Int Java .674 1,483,678

Figure 2: These are the results of RPG, C, and Java doing division with various data types 1,000,000 times.


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    SB_HelpSystems_WC_GenericWhile introducing Sequel Data Access, we’ll address common frustrations with Query/400, discuss major data access, distribution trends, and more advanced query tools. Plus, you’ll learn how a tool like Sequel lightens IT’s load by:

    - Accessing real-time data, so you can make real-time decisions
    - Providing run-time prompts, so users can help themselves
    - Delivering instant results in Microsoft Excel and PDF, without the wait
    - Automating the query process with on-demand data, dashboards, and scheduled jobs

  • How to Manage Documents the Easy Way

    SB_HelpSystems_WC_GenericWhat happens when your company depends on an outdated document management strategy?
    Everything is harder.
    You don’t need to stick with status quo anymore.
    Watch the webinar to learn how to put effective document management into practice and:

    • Capture documents faster, instead of wasting everyone’s time
    • Manage documents easily, so you can always find them
    • Distribute documents automatically, and move on to the next task

     

  • Lessons Learned from the AS/400 Breach

    SB_PowerTech_WC_GenericGet actionable info to avoid becoming the next cyberattack victim.
    In “Data breach digest—Scenarios from the field,” Verizon documented an AS/400 security breach. Whether you call it AS/400, iSeries, or IBM i, you now have proof that the system has been breached.
    Watch IBM i security expert Robin Tatam give an insightful discussion of the issues surrounding this specific scenario.
    Robin will also draw on his extensive cybersecurity experience to discuss policies, processes, and configuration details that you can implement to help reduce the risk of your system being the next victim of an attack.

  • Overwhelmed by Operating Systems?

    SB_HelpSystems_WC_GenericIn this 30-minute recorded webinar, our experts demonstrate how you can:

    • Manage multiple platforms from a central location
    • View monitoring results in a single pane of glass on your desktop or mobile device
    • Take advantage of best practice, plug-and-play monitoring templates
    • Create rules to automate daily checks across your entire infrastructure
    • Receive notification if something is wrong or about to go wrong

    This presentation includes a live demo of Network Server Suite.

     

  • Real-Time Disk Monitoring with Robot Monitor

    SB_HelpSystems_WC_GenericYou need to know when IBM i disk space starts to disappear and where it has gone before system performance and productivity start to suffer. Our experts will show you how Robot Monitor can help you pinpoint exactly when your auxiliary storage starts to disappear and why, so you can start taking a proactive approach to disk monitoring and analysis. You’ll also get insight into:

    • The main sources of disk consumption
    • How to monitor temporary storage and QTEMP objects in real time
    • How to monitor objects and libraries in real time and near-real time
    • How to track long-term disk trends

     

     

  • Stop Re-keying Data Between IBM I and Other Applications

    SB_HelpSystems_WC_GenericMany business still depend on RPG for their daily business processes and report generation.Wouldn’t it be nice if you could stop re-keying data between IBM i and other applications? Or if you could stop replicating data and start processing orders faster? Or what if you could automatically extract data from existing reports instead of re-keying? It’s all possible. Watch this webinar to learn about:

    • The data dilemma
    • 3 ways to stop re-keying data
    • Data automation in practice

    Plus, see how HelpSystems data automation software will help you stop re-keying data.

     

  • The Top Five RPG Open Access Myths....BUSTED!

    SB_Profound_WC_GenericWhen it comes to IBM Rational Open Access: RPG Edition, there are still many misconceptions - especially where application modernization is concerned!

    In this Webinar, we'll address some of the biggest myths about RPG Open Access, including:

    • Modernizing with RPG OA requires significant changes to the source code
    • The RPG language is outdated and impractical for modernizing applications
    • Modernizing with RPG OA is the equivalent to "screen scraping"

     

  • Time to Remove the Paper from Your Desk and Become More Efficient

    SB_HelpSystems_WC_GenericToo much paper is wasted. Attempts to locate documents in endless filing cabinets.And distributing documents is expensive and takes up far too much time.
    These are just three common reasons why it might be time for your company to implement a paperless document management system.
    Watch the webinar to learn more and discover how easy it can be to:

    • Capture
    • Manage
    • And distribute documents digitally

     

  • IBM i: It’s Not Just AS/400

    SB_HelpSystems_WC_Generic

    IBM’s Steve Will talks AS/400, POWER9, cognitive systems, and everything in between

    Are there still companies that use AS400? Of course!

    IBM i was built on the same foundation.
    Watch this recorded webinar with IBM i Chief Architect Steve Will and IBM Power Champion Tom Huntington to gain a unique perspective on the direction of this platform, including:

    • IBM i development strategies in progress at IBM
    • Ways that Watson will shake hands with IBM i
    • Key takeaways from the AS/400 days

     

  • Ask the RDi Experts

    SB_HelpSystems_WC_GenericWatch this recording where Jim Buck, Susan Gantner, and Charlie Guarino answered your questions, including:

    • What are the “hidden gems” in RDi that can make me more productive?
    • What makes RDi Debug better than the STRDBG green screen debugger?
    • How can RDi help me find out if I’ve tested all lines of a program?
    • What’s the best way to transition from PDM to RDi?
    • How do I convince my long-term developers to use RDi?

    This is a unique, online opportunity to hear how you can get more out of RDi.

     

  • Node.js on IBM i Webinar Series Pt. 2: Setting Up Your Development Tools

    Profound Logic Software, Inc.Have you been wondering about Node.js? Our free Node.js Webinar Series takes you from total beginner to creating a fully-functional IBM i Node.js business application. In Part 2, Brian May teaches you the different tooling options available for writing code, debugging, and using Git for version control. Attend this webinar to learn:

    • Different tools to develop Node.js applications on IBM i
    • Debugging Node.js
    • The basics of Git and tools to help those new to it
    • Using NodeRun.com as a pre-built development environment

     

     

  • Inside the Integrated File System (IFS)

    SB_HelpSystems_WC_GenericDuring this webinar, you’ll learn basic tips, helpful tools, and integrated file system commands—including WRKLNK—for managing your IFS directories and Access Client Solutions (ACS). We’ll answer your most pressing IFS questions, including:

    • What is stored inside my IFS directories?
    • How do I monitor the IFS?
    • How do I replicate the IFS or back it up?
    • How do I secure the IFS?

    Understanding what the integrated file system is and how to work with it must be a critical part of your systems management plans for IBM i.

     

  • Expert Tips for IBM i Security: Beyond the Basics

    SB PowerTech WC GenericIn this session, IBM i security expert Robin Tatam provides a quick recap of IBM i security basics and guides you through some advanced cybersecurity techniques that can help you take data protection to the next level. Robin will cover:

    • Reducing the risk posed by special authorities
    • Establishing object-level security
    • Overseeing user actions and data access

    Don't miss this chance to take your knowledge of IBM i security beyond the basics.

     

     

  • 5 IBM i Security Quick Wins

    SB PowerTech WC GenericIn today’s threat landscape, upper management is laser-focused on cybersecurity. You need to make progress in securing your systems—and make it fast.
    There’s no shortage of actions you could take, but what tactics will actually deliver the results you need? And how can you find a security strategy that fits your budget and time constraints?
    Join top IBM i security expert Robin Tatam as he outlines the five fastest and most impactful changes you can make to strengthen IBM i security this year.
    Your system didn’t become unsecure overnight and you won’t be able to turn it around overnight either. But quick wins are possible with IBM i security, and Robin Tatam will show you how to achieve them.

  • How to Meet the Newest Encryption Requirements on IBM i

    SB PowerTech WC GenericA growing number of compliance mandates require sensitive data to be encrypted. But what kind of encryption solution will satisfy an auditor and how can you implement encryption on IBM i? Watch this on-demand webinar to find out how to meet today’s most common encryption requirements on IBM i. You’ll also learn:

    • Why disk encryption isn’t enough
    • What sets strong encryption apart from other solutions
    • Important considerations before implementing encryption

     

     

  • Security Bulletin: Malware Infection Discovered on IBM i Server!

    SB PowerTech WC GenericMalicious programs can bring entire businesses to their knees—and IBM i shops are not immune. It’s critical to grasp the true impact malware can have on IBM i and the network that connects to it. Attend this webinar to gain a thorough understanding of the relationships between:

    • Viruses, native objects, and the integrated file system (IFS)
    • Power Systems and Windows-based viruses and malware
    • PC-based anti-virus scanning versus native IBM i scanning

    There are a number of ways you can minimize your exposure to viruses. IBM i security expert Sandi Moore explains the facts, including how to ensure you're fully protected and compliant with regulations such as PCI.

     

     

  • Fight Cyber Threats with IBM i Encryption

    SB PowerTech WC GenericCyber attacks often target mission-critical servers, and those attack strategies are constantly changing. To stay on top of these threats, your cybersecurity strategies must evolve, too. In this session, IBM i security expert Robin Tatam provides a quick recap of IBM i security basics and guides you through some advanced cybersecurity techniques that can help you take data protection to the next level. Robin will cover:

    • Reducing the risk posed by special authorities
    • Establishing object-level security
    • Overseeing user actions and data access

     

     

     

  • 10 Practical IBM i Security Tips for Surviving Covid-19 and Working From Home

    SB PowerTech WC GenericNow that many organizations have moved to a work from home model, security concerns have risen.

    During this session Carol Woodbury will discuss the issues that the world is currently seeing such as increased malware attacks and then provide practical actions you can take to both monitor and protect your IBM i during this challenging time.

     

  • How to Transfer IBM i Data to Microsoft Excel

    SB_HelpSystems_WC_Generic3 easy ways to get IBM i data into Excel every time
    There’s an easy, more reliable way to import your IBM i data to Excel? It’s called Sequel. During this webinar, our data access experts demonstrate how you can simplify the process of getting data from multiple sources—including Db2 for i—into Excel. Watch to learn how to:

    • Download your IBM i data to Excel in a single step
    • Deliver data to business users in Excel via email or a scheduled job
    • Access IBM i data directly using the Excel add-in in Sequel

    Make 2020 the year you finally see your data clearly, quickly, and securely. Start by giving business users the ability to access crucial business data from IBM i the way they want it—in Microsoft Excel.

     

     

  • HA Alternatives: MIMIX Is Not Your Only Option on IBM i

    SB_HelpSystems_WC_GenericIn this recorded webinar, our experts introduce you to the new HA transition technology available with our Robot HA software. You’ll learn how to:

    • Transition your rules from MIMIX (if you’re happy with them)
    • Simplify your day-to-day activities around high availability
    • Gain back time in your work week
    • Make your CEO happy about reducing IT costs

    Don’t stick with a legacy high availability solution that makes you uncomfortable when transitioning to something better can be simple, safe, and cost-effective.

     

     

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  • Backup and Recovery on IBM i: Your Strategy for the Unexpected

    SB HelpSystems SC 5413Robot automates the routine tasks of iSeries backup and recovery, saving you time and money and making the process safer and more reliable. Automate your backups with the Robot Backup and Recovery Solution. Key features include:
    - Simplified backup procedures
    - Easy data encryption
    - Save media management
    - Guided restoration
    - Seamless product integration
    Make sure your data survives when catastrophe hits. Try the Robot Backup and Recovery Solution FREE for 30 days.

  • Manage IBM i Messages by Exception with Robot

    SB HelpSystems SC 5413Managing messages on your IBM i can be more than a full-time job if you have to do it manually. How can you be sure you won’t miss important system events?
    Automate your message center with the Robot Message Management Solution. Key features include:
    - Automated message management
    - Tailored notifications and automatic escalation
    - System-wide control of your IBM i partitions
    - Two-way system notifications from your mobile device
    - Seamless product integration
    Try the Robot Message Management Solution FREE for 30 days.

  • Easiest Way to Save Money? Stop Printing IBM i Reports

    SB HelpSystems SC 5413Robot automates report bursting, distribution, bundling, and archiving, and offers secure, selective online report viewing.
    Manage your reports with the Robot Report Management Solution. Key features include:

    - Automated report distribution
    - View online without delay
    - Browser interface to make notes
    - Custom retention capabilities
    - Seamless product integration
    Rerun another report? Never again. Try the Robot Report Management Solution FREE for 30 days.

  • Hassle-Free IBM i Operations around the Clock

    SB HelpSystems SC 5413For over 30 years, Robot has been a leader in systems management for IBM i.
    Manage your job schedule with the Robot Job Scheduling Solution. Key features include:
    - Automated batch, interactive, and cross-platform scheduling
    - Event-driven dependency processing
    - Centralized monitoring and reporting
    - Audit log and ready-to-use reports
    - Seamless product integration
    Scale your software, not your staff. Try the Robot Job Scheduling Solution FREE for 30 days.

  • ACO MONITOR Manages your IBM i 24/7 and Notifies You When Your IBM i Needs Assistance!

    SB DDL Systems 5429More than a paging system - ACO MONITOR is a complete systems management solution for your Power Systems running IBM i. ACO MONITOR manages your Power System 24/7, uses advanced technology (like two-way messaging) to notify on-duty support personnel, and responds to complex problems before they reach critical status.

    ACO MONITOR is proven technology and is capable of processing thousands of mission-critical events daily. The software is pre-configured, easy to install, scalable, and greatly improves data center efficiency.