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BMC Helix Updated

BMC announced new operations management features and capabilities for the BMC Helix solution designed to increase decision-making accuracy and accelerate mean-time-to-repair (MTTR) through early detection, operational intelligence, and resource optimization.

- Increases Visibility and Management: The BMC Helix Discovery solution, allows customers to gain instant visibility into hardware, software, and service dependencies across multi-cloud, hybrid, and on-premises environments, including the ability to securely and efficiently identify Google Virtual Machines that do not have public IP addresses. Also, enterprises with mainframe assets can secure deeper insights into the dependencies and interactions between components and distributed resources for more effective modeling, leading to improved decision-making accuracy and service assurance. In addition, intelligent integrations augment discovery information with rich asset and dependency information from third-party data sources such as application performance monitoring (APM) tools and configuration management databases (CMDBs).

- Improves Performance and Availability: The new BMC Helix Operations Management solution’s integration capabilities enable AIOps to consume service models that enhance situational and root cause analysis to quickly resolve event alerts and accelerate MTTR. Additionally, service modeling reduces complexity and accelerates time-to-value with an innovative blueprint-based, automated capability.

- Predicts Future Resources for Business Demands: To improve resource right-sizing and align to future business needs, the BMC Helix Continuous Optimization solution uses advanced analytics that accurately forecast business driver growth with existing capacity. Dynamic service model integration increases visibility into business service health using a comprehensive consolidated view of application and infrastructure data. Additional functionality increases decision-making accuracy when planning for on-prem to cloud migrations to reduce time, complexity, and cost.

“With the adoption of cloud, containers, and DevOps processes, today’s IT environments are in constant flux,” said Margaret Lee, SVP and GM of Digital Service and Operations Management at BMC. “By bringing constant innovation to the BMC Helix platform, we’re helping customers in their ADE journey through improved visibility, management, and availability for more accurate decision-making and better performance.”

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BMC Helix Updated

BMC announced new operations management features and capabilities for the BMC Helix solution designed to increase decision-making accuracy and accelerate mean-time-to-repair (MTTR) through early detection, operational intelligence, and resource optimization.

- Increases Visibility and Management: The BMC Helix Discovery solution, allows customers to gain instant visibility into hardware, software, and service dependencies across multi-cloud, hybrid, and on-premises environments, including the ability to securely and efficiently identify Google Virtual Machines that do not have public IP addresses. Also, enterprises with mainframe assets can secure deeper insights into the dependencies and interactions between components and distributed resources for more effective modeling, leading to improved decision-making accuracy and service assurance. In addition, intelligent integrations augment discovery information with rich asset and dependency information from third-party data sources such as application performance monitoring (APM) tools and configuration management databases (CMDBs).

- Improves Performance and Availability: The new BMC Helix Operations Management solution’s integration capabilities enable AIOps to consume service models that enhance situational and root cause analysis to quickly resolve event alerts and accelerate MTTR. Additionally, service modeling reduces complexity and accelerates time-to-value with an innovative blueprint-based, automated capability.

- Predicts Future Resources for Business Demands: To improve resource right-sizing and align to future business needs, the BMC Helix Continuous Optimization solution uses advanced analytics that accurately forecast business driver growth with existing capacity. Dynamic service model integration increases visibility into business service health using a comprehensive consolidated view of application and infrastructure data. Additional functionality increases decision-making accuracy when planning for on-prem to cloud migrations to reduce time, complexity, and cost.

“With the adoption of cloud, containers, and DevOps processes, today’s IT environments are in constant flux,” said Margaret Lee, SVP and GM of Digital Service and Operations Management at BMC. “By bringing constant innovation to the BMC Helix platform, we’re helping customers in their ADE journey through improved visibility, management, and availability for more accurate decision-making and better performance.”

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Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...