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Cracking the Code on APM Big Data

Anand Akela

Everyone agrees that IT is under pressure to deliver fast and reliable application performance and customer experiences that exceed expectations. And, if a customer-facing app goes down, the implications can be quite drastic as we can see in the article "5-minute outage costs Google $545,000 in revenue" or "WhatsApp experiences major outage". The ramifications include lost revenue, profits, and damaged reputation – not to mention resulting shake-ups in responsible IT departments.

The customer-facing applications that we as consumers rely on every single day have grown very complex, running on an infrastructure that consists of multiple tiers and platforms across physical, virtual and hybrid cloud environments. Ensuring the optimal end-user experience for the new Web, cloud, and mobile apps add to an already overburdened IT workload. The manual processes and transactional-monitoring tools of the past can't keep up with the complexity of these new mission-critical applications. They don't give IT staff the support they need to identify and solve problems quickly, and deliver against their service level objectives.

Application Performance Management (APM) software addresses these challenges in the complex, dynamic, and interconnected application environment. However, monitoring complex applications, business transactions and ensuring exceptional end user experience 24x7, generates a big pile of data.

A well-configured APM system points to root causes and enables technical investigations, but even the best configured system may still miss critical warning signs if operators rely only on simple thresholds and baselines. Complex application environments need good, out-of-the-box analysis of all available APM Big Data to complement the special configuration of dashboards, which serve particular purposes. This is how we can crack the code on big data.

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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) ...

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Cracking the Code on APM Big Data

Anand Akela

Everyone agrees that IT is under pressure to deliver fast and reliable application performance and customer experiences that exceed expectations. And, if a customer-facing app goes down, the implications can be quite drastic as we can see in the article "5-minute outage costs Google $545,000 in revenue" or "WhatsApp experiences major outage". The ramifications include lost revenue, profits, and damaged reputation – not to mention resulting shake-ups in responsible IT departments.

The customer-facing applications that we as consumers rely on every single day have grown very complex, running on an infrastructure that consists of multiple tiers and platforms across physical, virtual and hybrid cloud environments. Ensuring the optimal end-user experience for the new Web, cloud, and mobile apps add to an already overburdened IT workload. The manual processes and transactional-monitoring tools of the past can't keep up with the complexity of these new mission-critical applications. They don't give IT staff the support they need to identify and solve problems quickly, and deliver against their service level objectives.

Application Performance Management (APM) software addresses these challenges in the complex, dynamic, and interconnected application environment. However, monitoring complex applications, business transactions and ensuring exceptional end user experience 24x7, generates a big pile of data.

A well-configured APM system points to root causes and enables technical investigations, but even the best configured system may still miss critical warning signs if operators rely only on simple thresholds and baselines. Complex application environments need good, out-of-the-box analysis of all available APM Big Data to complement the special configuration of dashboards, which serve particular purposes. This is how we can crack the code on big data.

Hot Topics

The Latest

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 ...

Image
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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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 ...