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Elastic Announces General Availability of LLM Observability for Google Cloud Vertex AI

SREs can now monitor, analyze and optimize the performance of AI deployments using models from Vertex AI

Elastic announced the general availability of the Elastic Google Cloud Vertex AI platform integration in Elastic Observability. 

This integration offers large language model (LLM) observability support for models hosted in Google Cloud’s Vertex AI platform, providing insights into costs, token usage, errors, prompts, responses and performance. Site Reliability Engineers (SRE) can now optimize resource usage, identify and resolve performance bottlenecks, and enhance model efficiency and accuracy.

“Comprehensive visibility into LLM performance is crucial for SREs and DevOps teams to ensure that their AI-powered applications are optimized,” said Santosh Krishnan, general manager of Observability and Security at Elastic. “Google Cloud’s Vertex AI platform integration provides users robust LLM observability and detection of performance anomalies in real-time, giving them critical insights into model performance that help with bottleneck identification and reliability improvements.”

Support for the Elastic Google Cloud’s Vertex AI platform integration is available now.

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Elastic Announces General Availability of LLM Observability for Google Cloud Vertex AI

SREs can now monitor, analyze and optimize the performance of AI deployments using models from Vertex AI

Elastic announced the general availability of the Elastic Google Cloud Vertex AI platform integration in Elastic Observability. 

This integration offers large language model (LLM) observability support for models hosted in Google Cloud’s Vertex AI platform, providing insights into costs, token usage, errors, prompts, responses and performance. Site Reliability Engineers (SRE) can now optimize resource usage, identify and resolve performance bottlenecks, and enhance model efficiency and accuracy.

“Comprehensive visibility into LLM performance is crucial for SREs and DevOps teams to ensure that their AI-powered applications are optimized,” said Santosh Krishnan, general manager of Observability and Security at Elastic. “Google Cloud’s Vertex AI platform integration provides users robust LLM observability and detection of performance anomalies in real-time, giving them critical insights into model performance that help with bottleneck identification and reliability improvements.”

Support for the Elastic Google Cloud’s Vertex AI platform integration is available now.

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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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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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