IBM Z® IntelliMagic Vision for z/OS® is a performance analysis solution that helps organizations
monitor and optimize their mainframe environments. It enhances RMF and SMF data
with built-in expertise to prevent disruptions, improve performance, and
safeguard service availability. Key Features: Proactive Monitoring: Early warning
system that identifies risks before they impact operations.
Enhanced Performance: Fine-tunes
configurations…
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ScienceLogic SL1
Score 8.9 out of 10
Enterprise companies (1,001+ employees)
ScienceLogic is a system and application monitoring and performance management platform. ScienceLogic collects and aggregates data across and IT ecosystems and contextualizes it for actionable insights with the SL1 product offering.
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Pricing
IBM Z IntelliMagic Vision for z/OS
ScienceLogic SL1
Editions & Modules
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Pricing Offerings
IBM Z IntelliMagic Vision for z/OS
ScienceLogic SL1
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
Required
Additional Details
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ScienceLogic SL1 offers four tiers:
SL1 Advanced – Application Health, Automated Troubleshooting and Remediation Workflows
SL1 Base – Infrastructure Monitoring, Topology & Event Correlation
SL1 Premium – AI/ML-driven Analytics, Low-Code Automated Workflow Authoring
SL1 Standard – Infrastructure Monitoring – with Agents, Business Services, Incident Automation, CMDB Synchronization, Behavioral Correlation
To get pricing for each tier, please contact the vendor.
More Pricing Information
Community Pulse
IBM Z IntelliMagic Vision for z/OS
ScienceLogic SL1
Features
IBM Z IntelliMagic Vision for z/OS
ScienceLogic SL1
AIOps Features
Comparison of AIOps Features features of Product A and Product B
IntelliMagic Vision for z/OS is an excellent comprehensive mainframe reporting tool that can ingest raw SMF/RMF statistical data, tape management configuration (TMC) data, DCOLLECT data, and proprietary ISV SMF data (Hitachi Mainframe Analytics Reporter SMF records, Oracle VSM SMF data) unlike any other product on the market. The reporting capabilities of IntelliMagic Vision is also best-in-class across all mainframe domains. No other historical mainframe reporting tool in the market can compete with IntelliMagic vision in terms of health/exception reporting, the "Change Detection" reporting - i.e., the ability to compare performance data across data points in statistical terms, and in terms of easy-to-use out-of-the-box (OTB) reports, as well as user-customizable reporting capabilities. IntelliMagic Vision is not a 'real-time' reporter such as Omegamon in that IntelliMagic consumes IBM SMF/RMF data that is DUMPd of SMF log streams, compressed, and FTPd to IntelliMagic's cloud server environment. However, IntelliMagic Vision can be considered as a 'near real-time' reporting facility - as long as the client installation can build the necessary automated infrastructure to "feed" their statistical data to IntelliMagic over several shorter (e.g., 1/2-hour or one-hour) intervals. Our typical turnaround time is about 1.5 hours from the time we create/cut statistical data to the time we can see the statistical reports based on that data in the tool - sometime that lag is even less than 1.5 hours.
Appropriate if you are setting up a monitoring suite in new Infrastructure Environment. Definitely NOT suited for Migration Projects. ScienceLogic SL1 cannot cater to a lot of monitoring requirements which already would have been configured in old monitoring suite. Plus, limited support for customizations and having to go to "Feature Requests" route makes in extremely complicated.
The provision of hundreds of sample reports, combined with the ability to drill down from each report, is both powerful and a real time-saver.
I love the ability to take an existing report, customize it to my needs, and quickly export it to a PDF or Powerpoint, or spreadsheet.
The Health Insight reports are great for helping me quickly hone in on aspects of system performance that require further investigation, without having to browse through hundreds of reports that simply report that everything is 'normal'.
The voluminous data is a challenge for all tools. As always, improved response time is always appreciated.
I really appreciate reading the descriptions and field descriptions that are provided with the screens. All additional elaborations will be appreciated.
Creating powerpacks from scratch for new devices may be straightforward but will rarely be easy. Rewarding when completed, but not easy.
Developer documentation needs a rethink. While the information may be there (it isn't always) it is not easy to find. This is not helped by using different terms for the same things.
A developer console/dashboard for monitoring data collection from powerpacks instances without having to switch webpages or have to monitor multiple webpages.
In comparison to other products (even on IBM Z), IntelliMagic Vision for z/OS is really RAS (reliability, availability, and serviceability). The GUI is really stable; analyze/reduce jobs with detailed diagnostics; restart functions with Automator
We migrated away from our 20-year-old homegrown solution and have no back-tracking capability. ScienceLogic is demonstrating new capabilities that we would not have been able to do on our own using our legacy system. We understand the capabilities of competitors based on our bake-off selection where ScienceLogic won on capabilities and future near-term potential (expandability, platform growth). We know that those competitors are not really close to where we have been able to push ScienceLogic (as a partner).
with more than 12 years of experience in Mainframe performance tuning and analysis, it was much easier to translate and understand the tool. New college grads without Mainframe exposure struggled a bit to connect the dots, it might be good to have a recording from IM to go through mainframe basics before the staff start to use the tool covering mainframe concepts than tool itself.
We use ScienceLogic SL1 in our organization to serve effective monitoring solutions to our external customers. Our customers depend upon us for critical events/alerts related to their IT infrastructure gears and using SL1, we're able to provide them with a proactive monitoring solution that resolves an issue before an impact is noticed by the customer. There are very few monitoring solutions that can cater to a variety of Cloud platforms like Public Cloud (AWS, Azure) and private cloud simultaneously and SL1 addresses this business problem very well
Science Logic SL1 provides the option of Distributed deployment where multiple instances of each appliance can be deployed to manage the load and availability. SL1 provides a High Availability feature for Database Servers and Data Collection. If one of the Data Collectors in the collector group fails, it will automatically redistribute the devices from the failed Data Collector among the other Data Collectors in the Collector Group. The high availability feature for the Database server ensures that SL1 performs failover automatically to another server without causing the outage to the application.
The performance is entirely dependent on the complexity of the environment/network being used to host the platform. Outside of those factors, the platform runs very efficiently and quickly out of the box. We have integrations with other platforms and neither seem to take a hit from our moderate API usage. Any issues with performance would be experienced by choices made in infrastructure or complexity of things built by the customer to display in the GUI (overly complicated and cluttered dashboards for example)
So far, it's good as part of my overall experience, except for a couple of use cases. The support team is well knowledgeable, has technical sound, and is efficient. When support escalates to engineering, the issue gets stuck and takes months to resolve.
When I joined our company, I did not know about the in person training at firts. Logging onto the SL University, I realised that there were different sessions being held at different times throughout the year. The training itself was good, but being in a different time zone, made it difficult to attend, but the sessions that I attended was great!
There are a lot of educational materials and courses on the SL1 training site (Litmos university). However the recording quality is sometimes not very good - screen resolution is low. There is a lack of professional rather than user-oriented documents and there are mistakes in documentation and education is not well structured.
Along with the purchase of the solution, we purchased a statement of work with their Professional Services organization to meet our outcomes and fill our critical gaps. The PS team was outstanding, very professional and allowed us to screen share while they built our integrations. In many cases they would teach us how they did certain things within the platform.
There are many different, and powerful, tools on the market. However, we could not find any other product that supported such a broad range of SMF records, provided IntelliMagic Vision for z/OS' collaboration capabilities, and allowed us to delve into the SMF information from many products with a common set of skills. Additionally, and very importantly, the IntelliMagic Vision for z/OS support is first class. The 'IntelliMagicians' are both experts in the use of their product AND experts in the data that is being reported on. They have many years of experience, excellent relationships with their customers, and a real enthusiasm for analyzing and understanding what is happening in the z/OS systems they are analyzing. We couldn't ask for better partners.
We evaluated a couple of other competitive products in the IT infrastructure observability domain; however, we found that ScienceLogic has a slight edge over the others for us. We encountered a cost barrier, as managing too many customers with an MSP setup was a costly affair, and several solutions did not offer an MSP solution at that time.
Our deployment model is vastly different from product expectations. Our global / internal monitoring foot print is 8 production stacks in dual data centers with 50% collection capacity allocated to each data center with minimal numbers of collection groups. General Collection is our default collection group. Special Collection is for monitoring our ASA and other hardware that cannot be polled by a large number of IP addresses, so this collection group is usually 2 collectors). Because most of our stacks are in different physical data centers, we cannot use the provided HA solution. We have to use the DR solution (DRBD + CNAMEs). We routinely test power in our data centers (yearly). Because we have to use DR, we have a hand-touch to flip nodes and change the DNS CNAME half of the times when there is an outage (by design). When the outage is planned, we do this ahead of the outage so that we don't care that the Secondary has dropped away from the Primary. Hopefully, we'll be able to find a way to meet our constraints and improve our resiliency and reduce our hand-touch in future releases. For now, this works for us and our complexity. (I hear that the HA option is sweet. I just can't consume that.)