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observIQ Expands Partnership with Google Cloud

observIQ expanded its partnership with Google Cloud and Google Cloud's Operations Suite, to improve telemetry for managing all business-critical applications and environments.

The partnership will increase visibility into workloads running on Google Compute Engine.

Google Cloud customers can now use OpenTelemetry logs and metrics collection with support from Google Cloud and observIQ to unify observability data from Google Cloud, on premise data centers, and other cloud environments. OpenTelemetry is a collection of open source telemetry tools, APIs, and SDKs. observIQ is a major contributor, developing high performance log and metric collection technology that can be easily configured and scaled to fit the monitoring needs of customers.

Many Google Cloud customers are already using OpenTelemetry to achieve significant cost savings to replace legacy telemetry and observability technologies. observIQ will integrate over 100 OpenTelemetry receivers into Google Ops Agent making it possible to collect logs and metrics for all of the major technologies customers wish to observe. Google Ops Agent is the primary agent for collecting telemetry from Compute Engine instances, while OpenTelemetry provides support for many other platforms. observIQ will also integrate other analysis layer components such as dashboards and alerts to provide customers with a true out-of-the-box observability experience.

Google Cloud Operations (GCO) Suite is an integrated monitoring, logging, and trace managed service in Google Cloud that businesses rely on to monitor their applications and systems. Google Cloud is expanding GCO to provide a greater level of insight into business-critical applications and environments. Currently, DevOps and ITOps teams must use legacy tools and approaches to achieve visibility into workloads.

The expanded collaboration positions both companies at the forefront of a shift towards open source in the observability industry and reflects the growth of hybrid and multi-cloud environments and the resulting complexity in monitoring performance across them.

Manvinder Singh, Director, IaaS/PaaS Partnerships, Google Cloud commented, "As organizations build out their multi-cloud or hybrid cloud environments, the need for solutions that help streamline telemetry collection for any cloud environment continues to rise. With OpenTelemetry available on Google Cloud alongside observIQ capabilities, customers will be able to easily unify their observability data across cloud environments."

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observIQ Expands Partnership with Google Cloud

observIQ expanded its partnership with Google Cloud and Google Cloud's Operations Suite, to improve telemetry for managing all business-critical applications and environments.

The partnership will increase visibility into workloads running on Google Compute Engine.

Google Cloud customers can now use OpenTelemetry logs and metrics collection with support from Google Cloud and observIQ to unify observability data from Google Cloud, on premise data centers, and other cloud environments. OpenTelemetry is a collection of open source telemetry tools, APIs, and SDKs. observIQ is a major contributor, developing high performance log and metric collection technology that can be easily configured and scaled to fit the monitoring needs of customers.

Many Google Cloud customers are already using OpenTelemetry to achieve significant cost savings to replace legacy telemetry and observability technologies. observIQ will integrate over 100 OpenTelemetry receivers into Google Ops Agent making it possible to collect logs and metrics for all of the major technologies customers wish to observe. Google Ops Agent is the primary agent for collecting telemetry from Compute Engine instances, while OpenTelemetry provides support for many other platforms. observIQ will also integrate other analysis layer components such as dashboards and alerts to provide customers with a true out-of-the-box observability experience.

Google Cloud Operations (GCO) Suite is an integrated monitoring, logging, and trace managed service in Google Cloud that businesses rely on to monitor their applications and systems. Google Cloud is expanding GCO to provide a greater level of insight into business-critical applications and environments. Currently, DevOps and ITOps teams must use legacy tools and approaches to achieve visibility into workloads.

The expanded collaboration positions both companies at the forefront of a shift towards open source in the observability industry and reflects the growth of hybrid and multi-cloud environments and the resulting complexity in monitoring performance across them.

Manvinder Singh, Director, IaaS/PaaS Partnerships, Google Cloud commented, "As organizations build out their multi-cloud or hybrid cloud environments, the need for solutions that help streamline telemetry collection for any cloud environment continues to rise. With OpenTelemetry available on Google Cloud alongside observIQ capabilities, customers will be able to easily unify their observability data across cloud environments."

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...