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BMC Helix SaaS Updated

BMC announced new innovations for the BMC Helix SaaS solution that help businesses better manage and automate complex IT operations and orchestrate application and data workflows across any hybrid environment to deliver an improved employee and customer experience.

Understanding the frequent changes and shifting contexts of business services and supporting environments across the enterprise requires a solution like BMC Helix ServiceOps. It brings service and operations management together with differentiated capabilities that provide a deep level of context and insight through benefits like:

- Protecting the business from the risk of outages and slow performance: The BMC Helix solution highlights problems related to business services in their entirety and not just individual components. Incidents, alerts, and data from operations and service requests are correlated to help cross-functional teams pinpoint root causes faster.

- Scaling capacity with AI: BMC's enhanced AIOps capabilities identify performance and root cause outages by applying pre-trained AI and ML to observability data and dynamic service models to assess service health, look for future service impacts, and provide proactive responses. This ensures teams can better keep pace with the sheer volume of metrics, events, and alerts.

- Personalizing employee and customer experience: The BMC Helix solution delivers a consumer-like, personalized service experience across traditional IT and business functions such as HR and customer service management through virtual agents, knowledge bases, live chat, and tickets that make it easy for customers and employees to request and get help.

- Propelling innovation: With enriched ServiceOps data and connections via working teams' tools of choice, the BMC Helix platform enables operational excellence to support agile DevOps to create new apps and services that enhance the business.

BMC Helix Control-M—the application and data workflow orchestration SaaS platform—responds to the demand to produce more with capabilities that help IT operations eliminate redundant, time-consuming tasks and risks. IT organizations can support decentralized product teams to orchestrate complex application and data workflows across disparate technologies and securely build, manage, and monitor these services in production to ensure SLAs are met and business services are delivered on time, every time.

Updates to the BMC Helix Control-M solution simplify complexity with:

- Advanced functionality and self-service interfaces that improve collaboration between IT operations, developers, data engineers, and business users to deliver new products into production quickly, securely, and at scale with a self-service SaaS experience.

- Strategic integration with Apache Airflow and cloud data services including AWS Glue, Azure Data Factory, GCP Dataflow, Databricks, and more that orchestrate application and data workflows, whether the data is on-premises or in the cloud.

- Single unified user view for all workflows and interfaces that provides operational efficiencies for multiple roles throughout the organization.

"The complexity and scale of today's IT environments require businesses to seek the highest level of integration and automation from their cloud tools to receive the information needed to prevent and resolve issues quickly," stated Ali Siddiqui, chief product officer at BMC. "As silos come down to drive more collaboration, the tools IT professionals use need to work seamlessly across groups to enable the innovation needed to become an Autonomous Digital Enterprise."

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

BMC Helix SaaS Updated

BMC announced new innovations for the BMC Helix SaaS solution that help businesses better manage and automate complex IT operations and orchestrate application and data workflows across any hybrid environment to deliver an improved employee and customer experience.

Understanding the frequent changes and shifting contexts of business services and supporting environments across the enterprise requires a solution like BMC Helix ServiceOps. It brings service and operations management together with differentiated capabilities that provide a deep level of context and insight through benefits like:

- Protecting the business from the risk of outages and slow performance: The BMC Helix solution highlights problems related to business services in their entirety and not just individual components. Incidents, alerts, and data from operations and service requests are correlated to help cross-functional teams pinpoint root causes faster.

- Scaling capacity with AI: BMC's enhanced AIOps capabilities identify performance and root cause outages by applying pre-trained AI and ML to observability data and dynamic service models to assess service health, look for future service impacts, and provide proactive responses. This ensures teams can better keep pace with the sheer volume of metrics, events, and alerts.

- Personalizing employee and customer experience: The BMC Helix solution delivers a consumer-like, personalized service experience across traditional IT and business functions such as HR and customer service management through virtual agents, knowledge bases, live chat, and tickets that make it easy for customers and employees to request and get help.

- Propelling innovation: With enriched ServiceOps data and connections via working teams' tools of choice, the BMC Helix platform enables operational excellence to support agile DevOps to create new apps and services that enhance the business.

BMC Helix Control-M—the application and data workflow orchestration SaaS platform—responds to the demand to produce more with capabilities that help IT operations eliminate redundant, time-consuming tasks and risks. IT organizations can support decentralized product teams to orchestrate complex application and data workflows across disparate technologies and securely build, manage, and monitor these services in production to ensure SLAs are met and business services are delivered on time, every time.

Updates to the BMC Helix Control-M solution simplify complexity with:

- Advanced functionality and self-service interfaces that improve collaboration between IT operations, developers, data engineers, and business users to deliver new products into production quickly, securely, and at scale with a self-service SaaS experience.

- Strategic integration with Apache Airflow and cloud data services including AWS Glue, Azure Data Factory, GCP Dataflow, Databricks, and more that orchestrate application and data workflows, whether the data is on-premises or in the cloud.

- Single unified user view for all workflows and interfaces that provides operational efficiencies for multiple roles throughout the organization.

"The complexity and scale of today's IT environments require businesses to seek the highest level of integration and automation from their cloud tools to receive the information needed to prevent and resolve issues quickly," stated Ali Siddiqui, chief product officer at BMC. "As silos come down to drive more collaboration, the tools IT professionals use need to work seamlessly across groups to enable the innovation needed to become an Autonomous Digital Enterprise."

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...