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Nobl9 Introduces Service Level Analyzer

Nobl9 announced Service Level Analyzer, a new product that allows the creation of Service Level Objectives (SLOs) in one-click using metrics and observability data from 24+ popular tools, including Prometheus, Datadog, New Relic, Dynatrace, Google Cloud Monitoring, Amazon Cloud Watch, Amazon Managed Service for Prometheus, Splunk, and many more.

“For over three years we’ve worked with organizations to improve their reliability and save them money by implementing Service Level Objectives (SLOs). We’ve seen ‘the blank spreadsheet’ come up as an obstacle to widespread internal adoption of SLOs,” said Brian Singer, co-founder and Chief Product Officer, Nobl9. “With the Service Level Analyzer, users immediately build meaningful, useful SLOs using past incidents and trends. The concepts behind SLOs become accessible to a much broader audience.”

With Service Level Analyzer, users can retrieve their historical data, set reliability targets and see how the system performed. Users can easily tweak the targets and view updated error budgets and error budget burn down. Once the right target is determined using the existing data, a new SLO can be immediately created in one click.

New capabilities allow users to:

- Create meaningful objectives in a couple of clicks based on real incident data;

- Perform quick “what-if” analysis to test out the impact of different targets and thresholds on error budgets; and,

- Quickly develop a better understanding of how incidents impact the customer experience.

“Companies often require clear data to understand potential customer impact from application and infrastructure issues, and Service Level Analyzer from Nobl9 provides actionable insights for organizations to optimize actions,” said Paul Nashawaty, principal analyst, Enterprise Strategy Group. “The use of historical data to create ‘what if’ scenarios and see what would have occurred using real data can provide organizations to set their SLOs, making them more proactive and productive.”

Service Level Analyzer is now available to all existing Nobl9 customers.

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Nobl9 Introduces Service Level Analyzer

Nobl9 announced Service Level Analyzer, a new product that allows the creation of Service Level Objectives (SLOs) in one-click using metrics and observability data from 24+ popular tools, including Prometheus, Datadog, New Relic, Dynatrace, Google Cloud Monitoring, Amazon Cloud Watch, Amazon Managed Service for Prometheus, Splunk, and many more.

“For over three years we’ve worked with organizations to improve their reliability and save them money by implementing Service Level Objectives (SLOs). We’ve seen ‘the blank spreadsheet’ come up as an obstacle to widespread internal adoption of SLOs,” said Brian Singer, co-founder and Chief Product Officer, Nobl9. “With the Service Level Analyzer, users immediately build meaningful, useful SLOs using past incidents and trends. The concepts behind SLOs become accessible to a much broader audience.”

With Service Level Analyzer, users can retrieve their historical data, set reliability targets and see how the system performed. Users can easily tweak the targets and view updated error budgets and error budget burn down. Once the right target is determined using the existing data, a new SLO can be immediately created in one click.

New capabilities allow users to:

- Create meaningful objectives in a couple of clicks based on real incident data;

- Perform quick “what-if” analysis to test out the impact of different targets and thresholds on error budgets; and,

- Quickly develop a better understanding of how incidents impact the customer experience.

“Companies often require clear data to understand potential customer impact from application and infrastructure issues, and Service Level Analyzer from Nobl9 provides actionable insights for organizations to optimize actions,” said Paul Nashawaty, principal analyst, Enterprise Strategy Group. “The use of historical data to create ‘what if’ scenarios and see what would have occurred using real data can provide organizations to set their SLOs, making them more proactive and productive.”

Service Level Analyzer is now available to all existing Nobl9 customers.

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Image
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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 ...

Image
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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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