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Micro Focus Operations Bridge 2017.08 Released

Micro Focus announced the launch of Operations Bridge 2017.08, its Autonomous Operations platform.

The latest version of Operations Bridge delivers:

- Google Cloud Platform monitoring with new the OMi Management Pack for Google Cloud. This adds to existing Amazon Web Services and Microsoft Azure support.

- Expanded Log collection content for Docker, Amazon Web Services and Windows event logs.

- Extended SAP HANA monitoring, now supporting new SAP HANA architecture, SAP HANA 2.0 and Tenant DB monitoring.

- Extended Oracle WebLogic monitoring, now offering new Performance Dashboards and monitoring Grid Link and JDK Garbage Collection Performance.

Operations Bridge is a suite of tools that monitor, analyze - using big data techniques, remediates issues and gives sub-second visualization of hybrid cloud and traditional IT environments.

Business Value Dashboard, the visualization component presents IT metrics in the context of business services. This allows line of business owners to understand what is happening in terms they understand and adapt to changing conditions with informed decisions.

Its Autonomous Operations capabilities collapse symptom events under root cause events reducing the number of events operators need to review. Customers have reported 25 to 40 percent reduction in events and up to 80 percent fewer critical incidents because of this correlation.

Operations Bridge monitoring automatically discovers new instances of containers and virtual machines (VM) and begins monitoring them. Monitors are stopped when the container or VM stops running. Analytics includes a time machine function which acts like a DVR allowing users to go back in time to see when metrics started to reflect the problem. The analytics engine also does predictive analysis, setting dynamic thresholds without any user defined rules.

Micro Focus Operations Bridge 2017.08 is available now.

The Latest

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

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AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...

In MEAN TIME TO INSIGHT Episode 21, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses AI-driven NetOps ... 

Enterprise IT has become increasingly complex and fragmented. Organizations are juggling dozens — sometimes hundreds — of different tools for endpoint management, security, app delivery, and employee experience. Each one needs its own license, its own maintenance, and its own integration. The result is a patchwork of overlapping tools, data stuck in silos, security vulnerabilities, and IT teams are spending more time managing software than actually getting work done ...

2025 was the year everybody finally saw the cracks in the foundation. If you were running production workloads, you probably lived through at least one outage you could not explain to your executives without pulling up a diagram and a whiteboard ...

Micro Focus Operations Bridge 2017.08 Released

Micro Focus announced the launch of Operations Bridge 2017.08, its Autonomous Operations platform.

The latest version of Operations Bridge delivers:

- Google Cloud Platform monitoring with new the OMi Management Pack for Google Cloud. This adds to existing Amazon Web Services and Microsoft Azure support.

- Expanded Log collection content for Docker, Amazon Web Services and Windows event logs.

- Extended SAP HANA monitoring, now supporting new SAP HANA architecture, SAP HANA 2.0 and Tenant DB monitoring.

- Extended Oracle WebLogic monitoring, now offering new Performance Dashboards and monitoring Grid Link and JDK Garbage Collection Performance.

Operations Bridge is a suite of tools that monitor, analyze - using big data techniques, remediates issues and gives sub-second visualization of hybrid cloud and traditional IT environments.

Business Value Dashboard, the visualization component presents IT metrics in the context of business services. This allows line of business owners to understand what is happening in terms they understand and adapt to changing conditions with informed decisions.

Its Autonomous Operations capabilities collapse symptom events under root cause events reducing the number of events operators need to review. Customers have reported 25 to 40 percent reduction in events and up to 80 percent fewer critical incidents because of this correlation.

Operations Bridge monitoring automatically discovers new instances of containers and virtual machines (VM) and begins monitoring them. Monitors are stopped when the container or VM stops running. Analytics includes a time machine function which acts like a DVR allowing users to go back in time to see when metrics started to reflect the problem. The analytics engine also does predictive analysis, setting dynamic thresholds without any user defined rules.

Micro Focus Operations Bridge 2017.08 is available now.

The Latest

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...

In MEAN TIME TO INSIGHT Episode 21, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses AI-driven NetOps ... 

Enterprise IT has become increasingly complex and fragmented. Organizations are juggling dozens — sometimes hundreds — of different tools for endpoint management, security, app delivery, and employee experience. Each one needs its own license, its own maintenance, and its own integration. The result is a patchwork of overlapping tools, data stuck in silos, security vulnerabilities, and IT teams are spending more time managing software than actually getting work done ...

2025 was the year everybody finally saw the cracks in the foundation. If you were running production workloads, you probably lived through at least one outage you could not explain to your executives without pulling up a diagram and a whiteboard ...