AI Adoption Drives Observability in Media & Entertainment: New Relic Report Reveals Industry Trends

AI Adoption Drives Observability in Media & Entertainment

New Relic, the Intelligent Observability company, has released its State of Observability for Media and Entertainment report, offering valuable insights into the adoption and business value of observability in the media and entertainment industry. The report, based on data from the company's 2024 Observability Forecast, highlights the growing importance of AI in observability practices within the sector 1

1

2

2

.

Key Findings on AI and Observability

The report reveals that AI is becoming a core component of observability practices in the media and entertainment industry. Notably, 35% of respondents identified AI adoption as a key driver for observability 1

1

2

2

. This trend underscores the sector's commitment to leveraging AI for enhanced decision-making, customer insights, and operational efficiencies.

AI monitoring has emerged as the most widely used observability capability in the industry, with 60% of respondents reporting its adoption – the highest rate among all industries surveyed 2

2

. This highlights the sector's reliance on observability to ensure speed, uptime, and reliability in their operations.

AI's Role in Improving Observability Practices

Media and entertainment professionals see several ways AI can enhance their observability practices:

1. 35% believe AI-assisted generation of runbooks would be most beneficial
2. 33% favor AI-assisted remediation actions like rollbacks or configuration updates
3. 32% see value in automatic root cause analysis
4. 32% are interested in forecasting and predictive analytics 2

   2

Unique Technology Adoption Priorities

Compared to other sectors, the media and entertainment industry has distinct technology adoption priorities driving observability:

1. 30% cite containerization of applications and workloads as a key driver (34% higher than the overall average)
2. 33% mention adopting IoT technologies as a catalyst (23% higher than the overall average) 2

   2

Challenges in Outage Detection and Resolution

Despite the critical nature of uptime in the media and entertainment industry, the sector lags behind others in addressing outages. The median mean-time-to-detection (MTTD) for the industry is 56 minutes, 51% higher than the overall median and the highest among all industries surveyed 2

2

.

This is particularly concerning given that the sector experiences the most high-business-impact outages per week (63% compared to the 38% industry average) and has the highest median hourly outage cost ($2.1 million per hour) across all industries 2

2

.

The Push for Full-Stack Observability

Media and entertainment organizations are striving to achieve full-stack observability to enhance operational efficiency and drive business value. However, only 20% of organizations have reached this milestone, lower than the 25% overall rate across industries 2

2

.

The sector faces challenges in this pursuit, with 39% of respondents identifying tech stack complexity as the major hurdle 2

2

.

Preference for Integrated Observability Platforms

As the industry prioritizes observability strategies, there is a strong preference for comprehensive, affordable platforms that can link business outcomes to telemetry data in real-time:

1. 56% favor a single, integrated observability platform
2. However, only 27% planned to consolidate tools in the next year to maximize the value of their observability spend – the lowest rate among all industries 2

   2

The findings of this report emphasize the critical role of observability in the media and entertainment industry, particularly as AI adoption continues to grow. As the sector grapples with complex tech stacks and the need for perfect uptime, investing in robust observability practices becomes increasingly vital for success.