ConicIT is studying the normal behavior of your z/OS performance per day and per hour, and is using advanced machine-learning algorithms for recognizing and alerting about mainframe performance anomalies at early stage, much before the performance-problems reach the mainframe capacity
Instead of hopping between your different monitors, or having dozen of screens showing different data from different monitors, ConicIT is aggregating all of the z/OS mainframe performance data and presenting it in one friendly web-application with graphs and tables
ConicIT is reading the z/OS mainframe performance data from IBM OmegamonTM, ASG TMONTM, CA SysviewTM, BMC MainviewTM, RMF, TSO, and others
ConicIT is reading thousands of mainframe performance variables from your z/OS monitors, storing them, and applying calculations for achieving new insights and calculated metrics
The new synergistic solution combines the abilities of ConicIT to automatically recognize performance problems with the abilities of Strobe to investigate the problems and advice how to fix them. ConicIT is using advanced machine learning for recognizing performance anomalies, and whenever such anomaly occurs, it runs Strobe's deep investigation just in time. So the Strobe investigation will run at early stages when the problem exists, including when you're out of office. When Strobe finishes the investigation it sends you a mail with links to the results and the recommendations.
You're welcome to contact us about it, and to click here to get our short presentation.
Click here to see Compuware Strobe - ConicIT integration announcement
Different customers reported to us that only thanks to ConicIT they recognized situations in which jobs entered a loop (100% CPU), and caused huge load on their system. It's very hard to find these cases without ConicIT, because monitors like TMON, Omegamon, Mainview, and others only show the total-CPU-time since the job started (often it's since IPL). So it's hard for these monitors and for performance people to understand the real-time CPU at every moment. However, ConicIT calculates the real-time CPU based on the Delta of each job from minute to minute (the amount of CPU time that was changed during each minute). Thus, ConicIT recognizes the real-time CPU, stores its history, and makes statistics about the typical real-time-CPU consumption of each job at each day and hour. ConicIT recognized many situations of jobs with too-high CPU. In some of these cases the situations were extreme, and without ConicIT it could crash the mainframe.
Memory condition of CICS - We know about at least one case that ConicIT recognized a quickly rising memory consumption of CICS at some bank, due to a memory leak. ConicIT recognized it at an early stage (around 30-40% memory consumption, which was already abnormal for that CICS). Thanks to ConicIT early alert that bank succeed to fix the problem before the CICS crashed (it was already around 90% when they fixed it).
At few situations that we know of, ConicIT helped to identify situations of resource overload. For example, when CICS transactions-rate was too low because of DB2 problem, ConicIT sent alert about too-low-transactions-rate and also showed that many transactions were waiting for the same resource. That’s thanks to ConicIT not only following and studying the mainframe behavior, but also creating meaningful aggregations and calculations (in this case – aggregation of the number of transactions that are waiting for each resource).
There were many situations in which ConicIT sent alerts about DB2 errors and DB2 locks, which helped to identify DB2 problems on time and fix them.
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5. In one of the cases, thanks to ConicIT some bank recognized a problem in the procedure of sending data to a 3rd party. That bank has a periodical transfer of huge files to some insurance companies. The bank IT never noticed it, but this transfer caused a huge CPU consumption whenever activateTd. Thanks to ConicIT they found it, investigated it and quickly found that they used a too high compression level before sending these files, which is very expensive in CPU. So they reduced the compression level and the problem was solved
6. In a national branch of Mastercard, only thanks to ConicIT alert, they recognized a situation that their internet connection was too slow. In response they spoke with their internet service provider and found that actually one of two main servers of that internet service provider was down and nobody knew about it!... So Mastercard actually were the first ones to recognize the problem of that big internet service provider (thanks to ConicIT)...
MORE...ConicIT is an AIOps* software solution for protecting your mainframe from performance problems by automatically recognizing them at early stage. ConicIT doesn’t require you to set static thresholds for alerts, but rather implements dynamic thresholds based on statistics and also applies machine learning to give accurate alerts. The alerts are based on automatic recognition of performance anomalies of your z/OS.
ConicIT doesn’t replaces your monitors (TMON, Omegamon, Mainview, and others) but rather connects to them and smartly analyzes the information they provide. ConicIT is installed on Linux machine (either standalone or SystemZ-Linux), and connects to your monitors like a regular user. But while human users are limited by their capacity, ConicIT is checking thousands of performance metrics per minutes, creating statistics over them, and recognizing the normal behavior of your mainframe z/OS performance per each hour of each day. Once ConicIT recognizes substantial deviation from normal behavior it will send you alerts with the relevant information. Typically these alerts will arrive at a very early stage, much before your mainframe response times and availability are at risk.
ConicIT also provides web-interface which allows you to see the information, including aggregated information from different monitors and sources, and important calculated information which are very hard for human user to perform. These calculated variables provides unique information such as summary of CPU and transaction-times per CICS-groups or real time CPU of started-tasks in contrary to the CPU-time since IPL which the monitors provide.
ConicIT can and should be used by few groups in the organization: First it should be used by your performance analysts who will be able to analyze the data and the alerts from ConicIT and to gain quick recognition and analysis of z/OS performance problems. In addition it can serve as a mainframe tool for the operators – which will get 24/7 alerts whenever z/OS performance anomaly is recognized. Lastly, it can be used by the system programmers who can use the graphs and information provided by ConicIT in order to better analyze mainframe performance anomalies related to their applications.
* AIOps stands for Artificial Intelligence for IT Operations.
ConicIT presents an AIOps solution that automatically recognizes performance problems at their very early stages, allowing you to save valuable time, money, and most important helping you to keep performance within the required SLA levels. ConicIT is using state of the art technology in order to automatically…
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ConicIT is not only about alerts, but also a about great visualization of all performance-rated data which are processed and presented in the most clear and concise way. No more manual digging into monitor commands, no more manual comparison between dozens of metrics, no more wasting time on writing…
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ConicIT is not coming instead of system Z performance monitors (such as Sysview, TMON, Omegamon, and others). In fact ConicIT usually receives its data from such monitors, by sending them request once a minute, and parsing the required values out of their responses. You can think of ConicIT as your bright personal…
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In ConicIT we know that system resources are expensive, and we believe that software that aims to protect you from overload must not add load to your system. ConicIT is agent-less and virtually has no effect on the load of your mainframe. ConicIT can run on a separated Linux machine, and…
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ConicIT helps you to identify z/OS performance problems much sooner than before and helps you to dramatically reduce the time required for analyzing such problems once recognized. It has three implications:
– Wasting less hours per month in analyzing performance problems…
ConicIT is highly customizable. It’s not only that we configure ConicIT to adapt to the configuration of your Z system, but we can add new abilities and tailor ConicIT to support new types of variables and new types of calculation within few days from request. ConicIT comes with a very powerful configuration tool…
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In this example, ConicIT receives CICS performance from different monitors, summarizes them by groups of CICSes and shows the total CPU and transaction-rates of each group. The detailed information is also available for the user to see.
In this example, ConicIT receives CICS performance from different monitors, summarizes them by groups of CICSes and shows the total CPU and transaction-rates of each group. The detailed information is also available for the user to see.
In this example, ConicIT receives CICS performance from different monitors, summarizes them by groups of CICSes and shows the total CPU and transaction-rates of each group. The detailed information is also available for the user to see.
