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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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IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...

Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...