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Unravel Data Integrates with Microsoft Azure

Unravel Data has integrated with Microsoft Azure to improve performance and reliability for Big Data workloads in the cloud.

Unravel’s APM platform will be available on the Microsoft Azure Marketplace, enabling Azure customers to easily analyze, troubleshoot and optimize their Big Data deployments with a full-stack solution. As a result, enterprises will gain guaranteed reliability, improve productivity and reduce costs.

Big Data, artificial intelligence, machine learning and Internet of Things (IoT) all offer tremendous value for enterprises across all verticals, but each requires highly specialized experts to properly manage and drive ROI. Most major organizations, even Fortune 500 companies, struggle to hire enough talent to ensure Big Data projects succeed. Unravel’s intelligent APM platform enables enterprises to bridge this Big Data skills gap and easily optimize their applications and clusters.

Unravel’s end-to-end platform optimizes applications for both performance and utilization, collecting performance data across the full stack and automatically correlating all the data together. The solution leverages artificial intelligence and machine learning to provide automated insights and recommendations for solving performance issues, allowing any company to easily master their Big Data deployments.

“With Microsoft’s enduring strength in the enterprise, Azure has become the cloud of choice for many Fortune 500 organizations,” said Kunal Agarwal, CEO, Unravel Data. “The cloud is a great place for these enterprises to deploy Big Data because it’s easier and less costly to scale up and down there. But even with this added flexibility, enterprises still need help to manage, optimize and gain visibility into these deployments. Unravel is the only APM platform designed specifically for Big Data. It gives enterprises the chance to truly unlock the potential of Big Data, allowing them to rely on these mission-critical applications that boost their bottom line.”

“With Unravel, customers are able to run big data applications with Unravel’s APM solution, simplifying troubleshooting and optimization through its automatic capabilities,” said John Chirapurath, GM, Microsoft Azure Data.

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Unravel Data Integrates with Microsoft Azure

Unravel Data has integrated with Microsoft Azure to improve performance and reliability for Big Data workloads in the cloud.

Unravel’s APM platform will be available on the Microsoft Azure Marketplace, enabling Azure customers to easily analyze, troubleshoot and optimize their Big Data deployments with a full-stack solution. As a result, enterprises will gain guaranteed reliability, improve productivity and reduce costs.

Big Data, artificial intelligence, machine learning and Internet of Things (IoT) all offer tremendous value for enterprises across all verticals, but each requires highly specialized experts to properly manage and drive ROI. Most major organizations, even Fortune 500 companies, struggle to hire enough talent to ensure Big Data projects succeed. Unravel’s intelligent APM platform enables enterprises to bridge this Big Data skills gap and easily optimize their applications and clusters.

Unravel’s end-to-end platform optimizes applications for both performance and utilization, collecting performance data across the full stack and automatically correlating all the data together. The solution leverages artificial intelligence and machine learning to provide automated insights and recommendations for solving performance issues, allowing any company to easily master their Big Data deployments.

“With Microsoft’s enduring strength in the enterprise, Azure has become the cloud of choice for many Fortune 500 organizations,” said Kunal Agarwal, CEO, Unravel Data. “The cloud is a great place for these enterprises to deploy Big Data because it’s easier and less costly to scale up and down there. But even with this added flexibility, enterprises still need help to manage, optimize and gain visibility into these deployments. Unravel is the only APM platform designed specifically for Big Data. It gives enterprises the chance to truly unlock the potential of Big Data, allowing them to rely on these mission-critical applications that boost their bottom line.”

“With Unravel, customers are able to run big data applications with Unravel’s APM solution, simplifying troubleshooting and optimization through its automatic capabilities,” said John Chirapurath, GM, Microsoft Azure Data.

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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

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

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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