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Middleware Raises $6.5 Million in Seed Funding

Middleware, an AI-based cloud observability platform provider, raised $6.5 million in seed funding to simplify and supercharge cloud observability.

The capital infusion will enable the company to revolutionize how businesses utilize observability stacks in the age of AI.

8VC led the round and was joined by Fin Capital, Vercel CEO and founder Guillermo Rauch and Tokyo Black. Additionally, several notable angel investors and other funds participated including Decent Capital, Begin Capital, Beat Venture and Gokul Rajaram.

The funding will enable Middleware to expand its team, develop new features and grow its customer base. The company also plans to build an advanced AI advisor based on generative AI to further improve the cloud observability stack.

"We are excited to have the support of all the investors as we continue to build out our platform and help our customers achieve greater visibility and control over their systems," said Laduram Vishnoi, CEO and founder of Middleware. "Our AI-based approach provides better insight into applications and infrastructure, making it easy for customers to debug issues faster and minimize downtime."

Middleware's cloud observability platform amalgamates data from various sources and leverages machine learning algorithms to identify patterns and anomalies that indicate performance issues and other problems. The platform also can provide recommendations for how to resolve issues and automate the resolution process.

Middleware's ultimate objective is to provide development and operations teams with effortless access to observability data throughout the entire software development lifecycle, reducing mean time to detection (MTTD) and mean time to resolution (MTTR).

"Our investment in Middleware reflects our confidence in its ability to deliver innovative cloud observability solutions that help development and operations teams identify and resolve issues quickly," said Bhaskar "BG" Ghosh, partner at 8VC. "Its AI-based approach is a game-changer for the industry, and we are excited to support the company's continued growth and success."

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Middleware Raises $6.5 Million in Seed Funding

Middleware, an AI-based cloud observability platform provider, raised $6.5 million in seed funding to simplify and supercharge cloud observability.

The capital infusion will enable the company to revolutionize how businesses utilize observability stacks in the age of AI.

8VC led the round and was joined by Fin Capital, Vercel CEO and founder Guillermo Rauch and Tokyo Black. Additionally, several notable angel investors and other funds participated including Decent Capital, Begin Capital, Beat Venture and Gokul Rajaram.

The funding will enable Middleware to expand its team, develop new features and grow its customer base. The company also plans to build an advanced AI advisor based on generative AI to further improve the cloud observability stack.

"We are excited to have the support of all the investors as we continue to build out our platform and help our customers achieve greater visibility and control over their systems," said Laduram Vishnoi, CEO and founder of Middleware. "Our AI-based approach provides better insight into applications and infrastructure, making it easy for customers to debug issues faster and minimize downtime."

Middleware's cloud observability platform amalgamates data from various sources and leverages machine learning algorithms to identify patterns and anomalies that indicate performance issues and other problems. The platform also can provide recommendations for how to resolve issues and automate the resolution process.

Middleware's ultimate objective is to provide development and operations teams with effortless access to observability data throughout the entire software development lifecycle, reducing mean time to detection (MTTD) and mean time to resolution (MTTR).

"Our investment in Middleware reflects our confidence in its ability to deliver innovative cloud observability solutions that help development and operations teams identify and resolve issues quickly," said Bhaskar "BG" Ghosh, partner at 8VC. "Its AI-based approach is a game-changer for the industry, and we are excited to support the company's continued growth and success."

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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 ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

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