Visit SDS at upcoming events! We will be attending:
SHARE St. Louis
August 12-17, 2018
St. Louis Convention Center
Booth #321 at the Technology Exchange Expo
St. Louis, MO
SHARE conference info
2 Important, consecutive sessions in Room #242 at SHARE St. Louis…
An Enterprises’ Experience Utilizing ConicIT:
Read the ConicIT datasheet for additional product features.
DevOps: User Experience-Monitoring Requirements for the Volatile DevOps World
Presenter: Nick Calvaruso, performance engineer
Tuesday, August 14, 2018, 3:15PM – 4:15PM
Room: 242, Session 22768, view session info
This presentation highlights an Enterprise’s use of an automated, expert mainframe performance monitoring system that proactively identifies existing and future mainframe issues through the performance data received from existing z/OS monitors. Then, the collected data is intelligently analyzed, which produces an extremely useful, first-fault warning whenever the expert monitoring system detects anything unexpected or if performance levels are negatively impacted. This automatic “early warning system” has the power to benefit organizations in many ways (including positive surprises), from decreasing costs/expenses to improving the entire process of identifying and fixing z/OS performance-related problems.
The company discussed in this session chose to use the z/OS performance monitoring system that deploys the first machine learning tool that also uses predictive artificial intelligence and analytics. By leveraging this industry-first combination, this solution has the ability to intelligently learn normal system operations, then detect anomalies, and predict future problems, cultivating the most efficient, dependable, and reliable alerts available from all similar z/OS performance monitoring solutions.
Description from SHARE Session Page:
Agile worlds change production code with updates that modify workload behavior. The challenge is to have comprehensive exception alerts from the mountains of data in order to be ahead of the curve with impactful workload behavior changes. How do you know how much a workload changed after development weekend changes? Does your monitor make allowances for and alert on low transaction rates during a normal time of high transaction rates? How can you identify problems early to find the root cause, not the late symptoms? We will look at how existing real-time monitoring (z/OS and zVM) and IT’s domain expertise can be enhanced to measure current state against history and help predict future performance. Smart monitoring operation examples will also be presented.
Mainframe’s missing link? File Integrity Monitoring/Verification for z/OS:
Read the FIM+ for z/OS datasheet for additional product features.
DevOps: The Missing Link in DevOps – How Lack of Post-Deployment Verification Can Cause Serious Errors
Presenter: Allen Saurette, security advisor
Tuesday, August 14, 2018, 4:30PM – 5:30PM
Room: 242, Session 23026, view session info
This session features the power and flexibility of this new mainframe FIM (File Integrity Monitoring) solution. Beyond providing complete z/OS file change awareness and passing newest mainframe compliance Requirements (PCI DSS, GDPR,…), Mainframe DevOps Teams can use this z/OS FIM solution. The implications and possibilities in the DevOps world for the z/OS mainframe are growing and very exciting.
Many of these features are likely fresh for mainframers; achieving enhanced security and complying with standards through FIM is a new concept for the mainframe but has been helping Distributed world for years now. Also, enterprise-wide, transparent file change verification and integrity monitoring is now possible with FIM+. This is definitely a session you need to attend!
Description from SHARE Session Page:
Mainframe DevOps, as continuous process of developing software solutions is severely lacking a post-deployment verification step. An on demand or scheduled audit process that ensures that what was deployed matches the desired state is critical to insure all files and components arrived as planned. This can identify accidental errors as well as malicious acts before they cause a system outage or even worse a data breach.
This session describes a validation process that utilizes Mainframe File Integrity Monitoring to detect problems in the deployment of applications on z/OS, USS, Unix, Linux and Windows systems.