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Observo AI Announces Distribution Partnership in Singapore

Observo AI announced a strategic distribution partnership with SIS Technologies, a premier value-added distributor in Singapore. 

This collaboration will address the rapidly growing demand for advanced security and observability solutions in the Singapore market, where enterprises face unprecedented growth in telemetry data volumes.

"Singapore represents a strategic market for Observo AI's expansion in the APAC region," said David Young, Chief Revenue Officer at Observo AI. "SIS Technologies' deep expertise in cybersecurity and their strong customer and partner ecosystem make them the ideal partner to bring our AI-powered data pipeline solutions to enterprises across Singapore. Together, we'll help organizations tackle their most pressing observability and security data challenges."

SIS Technologies will distribute Observo AI's complete suite of AI-powered data pipeline solutions, leveraging its three decades of experience in cybersecurity, infrastructure, and networking technologies. This partnership will provide Singapore enterprises with local access to technologies that significantly reduce security and observability costs while enhancing incident response capabilities.

Sam Chng, Managing Director at SiS Technologies, said: "The compounding growth of telemetry data is overwhelming traditional security and observability tools. Observo AI's technology addresses this challenge through intelligent, AI-driven optimization that delivers immediate value to our customers. Their approach aligns perfectly with our mission to provide cutting-edge solutions that drive business success for our partners and customers." 

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Observo AI Announces Distribution Partnership in Singapore

Observo AI announced a strategic distribution partnership with SIS Technologies, a premier value-added distributor in Singapore. 

This collaboration will address the rapidly growing demand for advanced security and observability solutions in the Singapore market, where enterprises face unprecedented growth in telemetry data volumes.

"Singapore represents a strategic market for Observo AI's expansion in the APAC region," said David Young, Chief Revenue Officer at Observo AI. "SIS Technologies' deep expertise in cybersecurity and their strong customer and partner ecosystem make them the ideal partner to bring our AI-powered data pipeline solutions to enterprises across Singapore. Together, we'll help organizations tackle their most pressing observability and security data challenges."

SIS Technologies will distribute Observo AI's complete suite of AI-powered data pipeline solutions, leveraging its three decades of experience in cybersecurity, infrastructure, and networking technologies. This partnership will provide Singapore enterprises with local access to technologies that significantly reduce security and observability costs while enhancing incident response capabilities.

Sam Chng, Managing Director at SiS Technologies, said: "The compounding growth of telemetry data is overwhelming traditional security and observability tools. Observo AI's technology addresses this challenge through intelligent, AI-driven optimization that delivers immediate value to our customers. Their approach aligns perfectly with our mission to provide cutting-edge solutions that drive business success for our partners and customers." 

The Latest

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...