Nobl9 announced Replay, providing new capabilities to its Service Level Objective (SLO) platform that significantly increase and optimize how enterprises can deploy, use and benefit from SLOs.
The new features allow customers to create SLOs with historical data from the last 30 days and pre-calculates error budgets.
“Our customers run mission-critical platforms that let enterprise developers quickly deliver software applications. Nobl9 makes the handshake-agreement between platform teams and application teams explicit in code,” said Brian Singer, co-founder and CPO at Nobl9. “Now with Replay, our customers can ask ‘what if we had set different goals for our service?’ and see the results based on accurate past data so they don’t have to guess or wait for new data to accumulate.”
With Replay, customers can instantly view their last 30 days of reliability data in context when they create their SLOs. Their historical Service Level Indicator (SLI) data will be retrieved alongside real time observability metrics and merged together to see an error budget within the time window they select.
Some roadblocks for customers starting with SLOs are knowing how they did previously and what their realistic expectations should be for reliability. Replay provides a window into that by retrieving and graphing their reliability up to 30 days before the creation of the SLO. Customers can then immediately see if their historical data met the reliability criteria they set and see what error budget is remaining once their SLO is created.
Instead of exporting data and reviewing the last 30 days of metrics in a spreadsheet, with Replay, Nobl9 enables automation to capture historical data, merge them with real time SLI data, and allows customers to view SLO charts and generate reports shortly after creating an SLO.
Replay supports Datadog, Prometheus, Amazon Managed Prometheus, Splunk, and Graphite metrics. Additional data sources will be added soon.
Replay is now available in beta to all existing Nobl9 customers.
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 ...
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 ...
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 ...