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BMC Delivers DORA Metrics KPI Dashboard

BMC announced the delivery of the industry-standard DORA (DevOps Research and Assessment) metrics KPI Dashboard within the BMC Compuware zAdviser solution.

The BMC Compuware zAdviser KPI Dashboard for DORA provides insights designed to improve mainframe development team performance and efficiency.

BMC Compuware zAdviser KPI Dashboard for DORA Metrics provides objective data to measure mainframe software delivery team performance and drive development deployment frequency, lead time for changes, mean time to recovery (MTTR), and change failure rate. DevOps teams rely on the DORA metrics to evaluate their performance and discover whether they are low performers or elite performers.

In addition, the BMC Compuware Abend-AID solution adds automated webhook notifications with diagnostic and root cause analysis to resolve defects in test and production faster. These updates provide improved uptime for existing applications, with the ability to continuously improve the end-user experience by resolving issues and defects for new functions faster.

Through a new integration with Venafi, a pioneer in machine-identity management, the BMC AMI Enterprise Connector for Venafi solution automates certificate management, ensuring authorized access to mainframe applications to help enterprises protect the most critical data in their environment. The solution protects uptime by eliminating certificate-related outages and speeds operations for new and existing applications by automating key and certificate lifecycle.

“We’re continually innovating to deliver solutions to empower DevOps transformation for mainframes,” said John McKenny, senior vice president and general manager, Intelligent Z Optimization and Transformation at BMC. "These newly released updates in our 31st quarterly release offer DevOps leaders the ability to react faster to changing customer needs through modern development tools that increase velocity, quality, and efficiency."

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BMC Delivers DORA Metrics KPI Dashboard

BMC announced the delivery of the industry-standard DORA (DevOps Research and Assessment) metrics KPI Dashboard within the BMC Compuware zAdviser solution.

The BMC Compuware zAdviser KPI Dashboard for DORA provides insights designed to improve mainframe development team performance and efficiency.

BMC Compuware zAdviser KPI Dashboard for DORA Metrics provides objective data to measure mainframe software delivery team performance and drive development deployment frequency, lead time for changes, mean time to recovery (MTTR), and change failure rate. DevOps teams rely on the DORA metrics to evaluate their performance and discover whether they are low performers or elite performers.

In addition, the BMC Compuware Abend-AID solution adds automated webhook notifications with diagnostic and root cause analysis to resolve defects in test and production faster. These updates provide improved uptime for existing applications, with the ability to continuously improve the end-user experience by resolving issues and defects for new functions faster.

Through a new integration with Venafi, a pioneer in machine-identity management, the BMC AMI Enterprise Connector for Venafi solution automates certificate management, ensuring authorized access to mainframe applications to help enterprises protect the most critical data in their environment. The solution protects uptime by eliminating certificate-related outages and speeds operations for new and existing applications by automating key and certificate lifecycle.

“We’re continually innovating to deliver solutions to empower DevOps transformation for mainframes,” said John McKenny, senior vice president and general manager, Intelligent Z Optimization and Transformation at BMC. "These newly released updates in our 31st quarterly release offer DevOps leaders the ability to react faster to changing customer needs through modern development tools that increase velocity, quality, and efficiency."

The Latest

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 ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...