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GroundWork Open Source Releases GroundWork Monitor 7.2

GroundWork Open Source released GroundWork Monitor 7.2, offering organizations new dynamic visualization and analysis tools with integrations of InfluxDB and Grafana that enable better data access and understanding of variations in systems performance.

“The monitoring industry has become extremely cloudy as organizations incorporate larger data sets from the growing monitoring toolset,” commented Thomas Stocking, Director of Systems Engineering at GroundWork Open Source. “GroundWork Monitor 7.2 addresses the increasingly complex need for monitoring computing systems, applications, networks and storage system performance. Whether using modern open source or customized solutions, GroundWork unifies performance tools so IT can quickly identify and correct service interruptions, lags or losses.”

Key Enhancements to Groundwork Monitor 7.2

- InfluxDB to handle larger data sets and leverage time series data to identify performance trends.

- Grafana to quickly create dashboards and graphically display metrics, show data points from multiple sources on a single graph, and compare metrics from different time periods.

- Cloudera Connector for GroundWork Cloud Hub, enabling organizations to easily access the metrics published by Cloudera, a platform for big data analysis.

- Integration with more open source agents.

- User-configurable alerts and thresholds.

- Enhanced connectors to monitoring VMware and AWS.

GroundWork 7.2 is a standalone, on premise software package that is installed on organizations’ infrastructure to monitor everything connected to the IT environment whether it’s physical, virtual, cloud or hybrid infrastructures. IT administrators can start with monitoring a specific application and expand across systems, and have the confidence that GroundWork’s APIs will support the open source tools within the IT environment. GroundWork Monitor’s pricing is predictable, in that fees are based on the number of devices monitored.

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GroundWork Open Source Releases GroundWork Monitor 7.2

GroundWork Open Source released GroundWork Monitor 7.2, offering organizations new dynamic visualization and analysis tools with integrations of InfluxDB and Grafana that enable better data access and understanding of variations in systems performance.

“The monitoring industry has become extremely cloudy as organizations incorporate larger data sets from the growing monitoring toolset,” commented Thomas Stocking, Director of Systems Engineering at GroundWork Open Source. “GroundWork Monitor 7.2 addresses the increasingly complex need for monitoring computing systems, applications, networks and storage system performance. Whether using modern open source or customized solutions, GroundWork unifies performance tools so IT can quickly identify and correct service interruptions, lags or losses.”

Key Enhancements to Groundwork Monitor 7.2

- InfluxDB to handle larger data sets and leverage time series data to identify performance trends.

- Grafana to quickly create dashboards and graphically display metrics, show data points from multiple sources on a single graph, and compare metrics from different time periods.

- Cloudera Connector for GroundWork Cloud Hub, enabling organizations to easily access the metrics published by Cloudera, a platform for big data analysis.

- Integration with more open source agents.

- User-configurable alerts and thresholds.

- Enhanced connectors to monitoring VMware and AWS.

GroundWork 7.2 is a standalone, on premise software package that is installed on organizations’ infrastructure to monitor everything connected to the IT environment whether it’s physical, virtual, cloud or hybrid infrastructures. IT administrators can start with monitoring a specific application and expand across systems, and have the confidence that GroundWork’s APIs will support the open source tools within the IT environment. GroundWork Monitor’s pricing is predictable, in that fees are based on the number of devices monitored.

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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 ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...