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PubSub+ Platform's main use case in our company is real-time data streaming using applications and API integrations. We are working on an IoT-based application, and our company handles most of the data streaming using our application to the sensors and IoT-optimized smart things. In this scenario, our application sends real data to the sensors and manages IoT things, which is the primary use for PubSub+ Platform in our company.
The best features of PubSub+ Platform are its real-time simulation, real-time event data streaming, and integration with any IoT applications. This capability makes it easy to connect and distribute applications while using this platform, and this is the most valuable feature for IoT.
In our company on a day-to-day basis, we are mainly using PubSub+ Platform for IoT applications. Our company works on most IoT-based things, and we use this platform daily. We are saving time by using this platform, and we require fewer people for seamless integrations and connectivity to data streaming for our IoT-based applications and sensors.
PubSub+ Platform could improve by simplifying some advanced configurations and providing better visualization for event flow.
Some advanced configurations in PubSub+ Platform could be made simpler so users can better understand them, and better visualization for event streaming is needed.
I have been using PubSub+ Platform for the last one year.
PubSub+ Platform is a very stable platform. Since I have been using it, I have not experienced any downtime, issues, or lagging performance.
PubSub+ Platform is highly scalable. Our team uses it as an enterprise solution, and it is a good fit for medium to large-scale organizations. It will be very scalable for any organization.
Customer support for PubSub+ Platform is very strong. The provided documentation is well-maintained, and if you have any issues or customer requirements, they will support you within 24 hours with a response on your feedback.
We achieved return on investment for PubSub+ Platform through time savings and the need for fewer employees.
The pricing and setup cost of PubSub+ Platform is very seamless and reliable for medium and large-scale enterprises. For small-sized enterprises, it may be a higher cost, or they may be looking for other options.
Regarding PubSub+ Platform's AI capabilities for governance and security, this provides a very good and well-managed experience.
Concerning PubSub+ Platform's AI capabilities regarding accuracy and reliability, it provides more accurate output and workflow, depending on what I have configured for these IoT applications and configurations. It is more accurate and more reliable.
I advise other organizations to adopt event-driven architectures, which are the main benefits of this platform. Organizations using PubSub+ Platform primarily for real-time data streaming and API integration should definitely try this platform. It will have a great impact on their organization and be very useful. I would rate this platform a 9 overall.
My main use case for BMC Helix Operations Management with AIOps is to identify the probable root cause whenever anything goes down. Noise reduction is also one of the main use cases. Additionally, it works as a manager of managers, integrating all the monitoring solutions which are working in silos and bringing all the data into one single pane so I can have complete visibility, leading to a very high level of observability. Another use case is business service models, which involves dynamic service modeling and service impact management, showing exactly where business services are impacted. I can also add one more use case related to automation and remediation, so whenever there is an incident, automation policies can be set up with the automation orchestrator tool ready, allowing commands to be sent via policies to run automation when a repeated incident occurs.
While working with one of my customers, we encountered a scenario where they had multiple monitoring solutions like Dynatrace and AppDynamics, as well as a network monitoring solution, Entuity, and another infrastructure monitoring solution, Microsoft SCOM, while also working with Azure and AWS. Although all these solutions are great, they were still working in silos, so no one had a clear picture of what was exactly going on. I integrated all the solutions with BMC Helix Operations Management with AIOps via intelligent integrations, fetching metrics and events from these solutions. In parallel, I built business models using the business service model blueprint from BMC Discovery. Once these business models were published to AIOps along with the collected metrics and events, AI baselining started working on these metrics, generating anomaly events. All the data collected from the third-party solutions started showing up in BMC Helix Operations Management, also known as BHOM. From here, I accessed all the data via AIOps, which clearly identified the causal node or causal host or causal entity causing the business impact. Additionally, I built interactive drill-down dashboards in BMC Helix Dashboards specifically for the CIOs, allowing them to view everything going on in one single dashboard without needing to log into multiple solutions.
BMC Helix Operations Management with AIOps has positively impacted my organization by reducing the number of incidents. There used to be a lot of incidents and noise at both the event and incident level, but now the noise has significantly decreased. As a result, people can focus more on solving problems efficiently, reducing the meantime to repair or resolve an issue. The time consumed is much less now, and I have more resources available, as previously manual troubleshooting and task performance consumed a lot of time. Now, I can run automation policies to handle events promptly, which accelerates issue resolution. The noise in incidents has also diminished, allowing resources to work on new project initiatives due to saved time. Additionally, the systems have much higher uptime now than before, as operations are functioning more proactively with regular alerts, enabling quick identification and resolution of customer issues.
The best features BMC Helix Operations Management with AIOps offers include its in-built AIML algorithm, which automatically groups all events into a single event and correlates them into a single event, referred to as situations, effectively reducing noise. Another beautiful feature I appreciate is anomaly detection. Once the data is collected, the system analyzes it for at least 14 days to set baselines, providing anomaly detections or alerts if anything deviates from the baseline. This is useful because the alerts are not static and help me work proactively rather than reactively. Third-party solution integration is another feature, allowing integration with any third-party solution, supported by REST API integration if no connector is available. Additionally, Helix GPT is a standout feature that adds meaningful content and context to situations, providing situation summaries and helping to run automations from the situations page. I can also ask Helix GPT about situations for post-mortem analysis, and it even integrates log insights for additional context. Helix GPT also assists in remediation by providing steps and code templates.
Whenever working in operations, there is always a lot of flow, and it is always demanding with many events. I recall working closely with one application team who had all their systems monitored in BHOM. During an outage, most of their applications stopped performing, generating a flood of alerts. However, AIOps correlated all these alerts into one single alert, creating a situation that included all related events and then identified the root cause of the catastrophic failure, which was linked to the disk's IOPS. This issue was significant for them but not easily identified, yet AIOps was able to pinpoint this problem.
One area where BMC Helix Operations Management with AIOps can improve is by integrating APM data. BMC Helix is already working on this feature called the OpenTelemetry collector, which collects traces, metrics, and logs from applications and other APM solutions.
Documentation needs some improvement, as I have often wasted a lot of time due to incorrect information in the documentation.
I have been using BMC Helix Operations Management with AIOps for approximately four years.
BMC Helix Operations Management with AIOps is very reliable if the foundation data, specifically the CMDB and discovery, is good. If the data is not good, BMC Helix Operations Management with AIOps may be unreliable, so it is crucial to ensure that foundation data is synchronized before implementing BMC Helix Operations Management with AIOps.
BMC Helix Operations Management with AIOps is highly scalable as it operates in a Kubernetes environment, allowing it to be scaled in the same manner as any other Kubernetes application.
Customer support is amazing. I can easily reach out by logging a case in the case portal, and depending on the severity I select, I will be contacted by one of their support engineers. I would rate the customer support an 8.
I evaluated Dynatrace before choosing BMC Helix Operations Management with AIOps, but found it had many features I may never use, and it was quite expensive. Other infrastructure monitoring solutions such as ServiceNow ITOM were unreliable and not on par with BMC Helix Operations Management with AIOps. I also tried MS SCOM, but it did not match up to BMC Helix Operations Management with AIOps standards. BMC Helix Operations Management with AIOps is superior because it synchronizes service management and operations management, sharing data effectively between BHOM and ITSM.
I have been able to reduce approximately 80% of noise.
My advice for those looking to use BMC Helix Operations Management with AIOps is to ensure that all prerequisites for BMC Helix Operations Management with AIOps are in place before implementation to avoid false positives and misattribution to the solution. It is essential to have foundation data, CMDB, and discovery in place and functioning correctly. Ensure the processes in the organization follow ITIL standards and decide on the monitoring strategy to avoid discrepancies before starting to implement BMC Helix Operations Management with AIOps.
BMC Helix Operations Management with AIOps is highly secure, as it uses API keys and access keys in encrypted form, allowing only one copy and no plain passwords anywhere, not even in agents. It is encouraged to integrate with LDAP for secure user access. I have given this product an overall rating of 8.5.
