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SignalFx Announces Comprehensive Global Monitoring for Google Cloud Platform

SignalFx announced an integration for comprehensive global monitoring for Google Cloud Platform.

This integration allows enterprise-class Google Cloud customers to leverage the real-time, end-to-end operational intelligence of the SignalFx solution. Global organizations can get alerts in real-time from SignalFx’s streaming analytics platform across their entire technology stack. From infrastructure to applications critical information will be uncovered every second of every day so unwanted issues can be instantly fixed. The integration currently is live across many Google Cloud Platform services.

If DevOps isn’t happening in real real-time, it’s not happening fast enough. SignalFx delivers a comprehensive view into an organization’s DevOps environment as it happens. Now enterprises can monitor the Google Cloud Platform in SignalFx using Google’s Stackdriver metrics, with built-in dashboards for Google Compute Engine, Google Container Engine, BigQuery, Cloud Pub/Sub, Cloud Bigtable, Cloud Router, Cloud Spanner, Cloud Storage, Cloud Functions, App Engine and Cloud Datastore.

“In a world where customer experience defines brands, there’s no room for error. SignalFx is for companies whose customers expect their products and services to perform 24X7,” said Karthik Rau, Founder and CEO of SignalFx. “Our operational-intelligence platform provides instant visibility into technology performance so companies can fix what needs fixing and uncover opportunities to keep customers engaged and happy. That’s what matters most.”

“SignalFx’s metrics, dashboards, and alerts are now available for a broad range of Google Cloud Platform services enabling developers with real time insights throughout their development lifecycle. This can help users of the SignalFx platform develop faster and more robust applications on Google Cloud,” said Adam Massey, Director of Strategic Technology Partnerships, Google Cloud.

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SignalFx Announces Comprehensive Global Monitoring for Google Cloud Platform

SignalFx announced an integration for comprehensive global monitoring for Google Cloud Platform.

This integration allows enterprise-class Google Cloud customers to leverage the real-time, end-to-end operational intelligence of the SignalFx solution. Global organizations can get alerts in real-time from SignalFx’s streaming analytics platform across their entire technology stack. From infrastructure to applications critical information will be uncovered every second of every day so unwanted issues can be instantly fixed. The integration currently is live across many Google Cloud Platform services.

If DevOps isn’t happening in real real-time, it’s not happening fast enough. SignalFx delivers a comprehensive view into an organization’s DevOps environment as it happens. Now enterprises can monitor the Google Cloud Platform in SignalFx using Google’s Stackdriver metrics, with built-in dashboards for Google Compute Engine, Google Container Engine, BigQuery, Cloud Pub/Sub, Cloud Bigtable, Cloud Router, Cloud Spanner, Cloud Storage, Cloud Functions, App Engine and Cloud Datastore.

“In a world where customer experience defines brands, there’s no room for error. SignalFx is for companies whose customers expect their products and services to perform 24X7,” said Karthik Rau, Founder and CEO of SignalFx. “Our operational-intelligence platform provides instant visibility into technology performance so companies can fix what needs fixing and uncover opportunities to keep customers engaged and happy. That’s what matters most.”

“SignalFx’s metrics, dashboards, and alerts are now available for a broad range of Google Cloud Platform services enabling developers with real time insights throughout their development lifecycle. This can help users of the SignalFx platform develop faster and more robust applications on Google Cloud,” said Adam Massey, Director of Strategic Technology Partnerships, Google Cloud.

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

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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Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

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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