Nobl9 Introduces Replay to Set Service Level Objectives Based on Historical Data

Nobl9 Replay makes Service Level Indicator (SLI) data instantly available from historical data in popular observability and application performance monitoring systems.

Nobl9, the service level observability company, today announced 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.”

Create Realistic "What If" Scenarios for SLOs with Historical Data

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.

“Nobl9 has given us a practical way to derive engineering and operational insights by focusing our attention on interesting, actionable data,” said Zac Nickens, Global Reliability & Observability Engineering Manager, OutSystems. “We received early access to Replay, and were amazed by how fast we can create and iterate on our service level objectives (SLOs) across many data sources. Optimizing effort and impact is high on everyone’s list these days, and the payoff from having automated SLOs means we can leverage advanced reliability data more effectively and focus on optimizing observability data footprint expansion while expanding value and insight.”

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.

Product Availability

Replay is now available in beta to all existing Nobl9 customers. Replay supports Datadog, Prometheus, Amazon Managed Prometheus, Splunk, and Graphite metrics. Additional data sources will be added soon. New customers to Nobl9 can sign up for a free trial at app.nobl9.com/signup.

Supporting Resources

• Try SLOs with Nobl9’s 30-day free trial
• Learn more about SLOs at the Nobl9 resource center
• Checkout the Nobl9 blog
• Join the community conversation about SLOs with SLODLC

About Nobl9

Nobl9 is the first service level observability platform that accelerates software delivery by adding business context and eliminating data overload. Global enterprises in the financial services, ecommerce, and SaaS industries such as Bloom Credit, Trusted Shops and Procore choose Nobl9 to accelerate engineering, set clear software reliability goals, and ensure end user happiness. Nobl9 enriches data from popular enterprise observability systems and fits into developer workflows using popular DevOps and collaboration tools. Nobl9 is backed by Battery Ventures, CRV, Sorenson Capital, Harmony Partners, Bonfire and Resolute. Learn more at nobl9.com.

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