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Zebrium Joins the Vendor Forum

Pete Goldin
Editor and Publisher
APMdigest

Ajay Singh, Founder and CEO of Zebrium, has joined the APMdigest Vendor Forum.

Singh is a strong advocate for creating products that "just work" to address real-life customer needs. As Zebrium CEO, he is passionate about building a machine learning solution to find problems in logs so that humans don’t have to. Singh led Product at Nimble Storage from concept to annual revenue of $500M and over 10,000 enterprise customers. He started his career as an engineer and has also held senior product management roles at NetApp and Logitech.

Zebrium uses unsupervised machine learning to automatically catch software incidents and show the root cause. Zebrium technology works by finding hotspots of abnormally correlated anomalous patterns across logs and metrics.

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The perception of IT has undergone a remarkable transformation in recent years. What was once viewed primarily as a cost center has transformed into a pivotal force driving business innovation and market leadership ... As someone who has witnessed and helped drive this evolution, it's become clear to me that the most successful organizations share a common thread: they've mastered the art of leveraging IT advancements to achieve measurable business outcomes ...

Zebrium Joins the Vendor Forum

Pete Goldin
Editor and Publisher
APMdigest

Ajay Singh, Founder and CEO of Zebrium, has joined the APMdigest Vendor Forum.

Singh is a strong advocate for creating products that "just work" to address real-life customer needs. As Zebrium CEO, he is passionate about building a machine learning solution to find problems in logs so that humans don’t have to. Singh led Product at Nimble Storage from concept to annual revenue of $500M and over 10,000 enterprise customers. He started his career as an engineer and has also held senior product management roles at NetApp and Logitech.

Zebrium uses unsupervised machine learning to automatically catch software incidents and show the root cause. Zebrium technology works by finding hotspots of abnormally correlated anomalous patterns across logs and metrics.

The Latest

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 ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...

Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...

Despite the frustrations, every engineer we spoke with ultimately affirmed the value and power of OpenTelemetry. The "sucks" moments are often the flip side of its greatest strengths ... Part 2 of this blog covers the powerful advantages and breakthroughs — the "OTel Rocks" moments ...

OpenTelemetry (OTel) arrived with a grand promise: a unified, vendor-neutral standard for observability data (traces, metrics, logs) that would free engineers from vendor lock-in and provide deeper insights into complex systems ... No powerful technology comes without its challenges, and OpenTelemetry is no exception. The engineers we spoke with were frank about the friction points they've encountered ...

Enterprises are turning to AI-powered software platforms to make IT management more intelligent and ensure their systems and technology meet business needs for efficiency, lowers costs and innovation, according to new research from Information Services Group ...

The power of Kubernetes lies in its ability to orchestrate containerized applications with unparalleled efficiency. Yet, this power comes at a cost: the dynamic, distributed, and ephemeral nature of its architecture creates a monitoring challenge akin to tracking a constantly shifting, interconnected network of fleeting entities ... Due to the dynamic and complex nature of Kubernetes, monitoring poses a substantial challenge for DevOps and platform engineers. Here are the primary obstacles ...

The perception of IT has undergone a remarkable transformation in recent years. What was once viewed primarily as a cost center has transformed into a pivotal force driving business innovation and market leadership ... As someone who has witnessed and helped drive this evolution, it's become clear to me that the most successful organizations share a common thread: they've mastered the art of leveraging IT advancements to achieve measurable business outcomes ...