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Logz.io Raises $23 Million Series C Funding

Logz.io has raised $23 million in Series C funding led by OpenView, with participation from investors 83North, Giza and new investor Vintage Investment Partners, bringing total capital raised to-date to $47 million.

The company also announced the release of two new capabilities - Logz.io Data Optimizer and Logz.io Application Insights - designed to help companies derive more value from machine data.

This latest funding round will support Logz.io’s go-to-market expansion and allow the company to continue aggressively investing in product innovation to serve the needs of its customer base, which has roughly tripled YoY to more than 400, and includes leading enterprises like Oracle, Intel, British Airways and Electronic Arts. The company also plans to double its current footprint in Boston, its US headquarters where 25 of its 100 employees are based, over the next 12 months.

Logz.io is an intelligent log analytics platform that combines advanced machine learning with the powerful open-source ELK (Elasticsearch, Logstash, Kibana) stack. The company enables the midmarket and enterprise alike to leverage ELK in a user-friendly and immensely scalable platform. Logz.io synthesizes machine data, user behavior, and community knowledge into actionable insights that help organizations take their operations to the next level.

Logz.io is committed to creating a log analysis platform that empowers customers to attain the most value from their data. Staying true to this mission, Logz.io has released two new features: Application Insights and Data Optimizer.

Application Insights enables faster incident detection and resolution of critical application issues. It uses machine learning to create and maintain a model of normal operations which it then uses to isolate new exceptions and critical errors which don’t fit the model and highlights these events for further investigation. Application Insights also integrates with CI/CD to put new exceptions and error messages in the context of changes to the environment such as a micro-service deployment.

Data Optimizer empowers enterprises to reduce the cost of data retention by determining which logs have value and how long they should be stored. The Data Optimizer summarizes critical logs and eliminates noisy and unnecessary logs which in turn enables significant efficiencies and reduces data noisiness. This enables long-term trend investigation and comparisons for greater insights into operations and completely changes the business model for companies operating in the log analytics space.

“We believe the rapid growth of our customer base and partner ecosystem is directly attributable to the type of outside-the-box thinking evidenced by our newest capabilities,” said Tomer Levy, CEO and co-founder, Logz.io. “We see a massive opportunity to help businesses of all sizes derive far more value from machine data than is currently possible under existing log analytics business models, and we’re excited and humbled by the opportunity to further invest the additional funds in bringing even more innovative capabilities and flexibility to the market.”

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Logz.io Raises $23 Million Series C Funding

Logz.io has raised $23 million in Series C funding led by OpenView, with participation from investors 83North, Giza and new investor Vintage Investment Partners, bringing total capital raised to-date to $47 million.

The company also announced the release of two new capabilities - Logz.io Data Optimizer and Logz.io Application Insights - designed to help companies derive more value from machine data.

This latest funding round will support Logz.io’s go-to-market expansion and allow the company to continue aggressively investing in product innovation to serve the needs of its customer base, which has roughly tripled YoY to more than 400, and includes leading enterprises like Oracle, Intel, British Airways and Electronic Arts. The company also plans to double its current footprint in Boston, its US headquarters where 25 of its 100 employees are based, over the next 12 months.

Logz.io is an intelligent log analytics platform that combines advanced machine learning with the powerful open-source ELK (Elasticsearch, Logstash, Kibana) stack. The company enables the midmarket and enterprise alike to leverage ELK in a user-friendly and immensely scalable platform. Logz.io synthesizes machine data, user behavior, and community knowledge into actionable insights that help organizations take their operations to the next level.

Logz.io is committed to creating a log analysis platform that empowers customers to attain the most value from their data. Staying true to this mission, Logz.io has released two new features: Application Insights and Data Optimizer.

Application Insights enables faster incident detection and resolution of critical application issues. It uses machine learning to create and maintain a model of normal operations which it then uses to isolate new exceptions and critical errors which don’t fit the model and highlights these events for further investigation. Application Insights also integrates with CI/CD to put new exceptions and error messages in the context of changes to the environment such as a micro-service deployment.

Data Optimizer empowers enterprises to reduce the cost of data retention by determining which logs have value and how long they should be stored. The Data Optimizer summarizes critical logs and eliminates noisy and unnecessary logs which in turn enables significant efficiencies and reduces data noisiness. This enables long-term trend investigation and comparisons for greater insights into operations and completely changes the business model for companies operating in the log analytics space.

“We believe the rapid growth of our customer base and partner ecosystem is directly attributable to the type of outside-the-box thinking evidenced by our newest capabilities,” said Tomer Levy, CEO and co-founder, Logz.io. “We see a massive opportunity to help businesses of all sizes derive far more value from machine data than is currently possible under existing log analytics business models, and we’re excited and humbled by the opportunity to further invest the additional funds in bringing even more innovative capabilities and flexibility to the market.”

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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

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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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