Product update: Announcing expansion of our end-to-end SLA and SLO management service

Announcing the launch of our new end-to-end SLA and SLO management service. Expanding on our existing AI-powered product suite, these new capabilities extend our core technology to proactively help site reliability engineers manage their critical benchmarks and service level indicators (SLIs).

Critical benchmarking

SLAs (service level agreements) and SLOs (service level objectives) are critical benchmarks companies use to ensure the delivery of high-quality services and maintain optimal system performance. SLAs outline the formal agreements between a service provider and its customers, while SLOs set internal performance goals for the provider to meet customer expectations, usually bounded by SLIs. 

For many companies, the process of managing SLAs and SLOs is fragmented, ad hoc, and reactive. DevOps and SRE leaders often report a lack of clarity on what metrics to track, creating frustration toward learning about service risks only once an SLA or SLO has been breached. 

For more on our SLA/SLO suite, visit our solutions page.

Benefits of our new SLO/SLA suite:

  • Single source of truth: Workflows to quickly import SLAs and SLOs from other systems for a single source of truth
  • Intelligent SLI generation: Automatic generation of SLIs based on service incidents, along with recommended benchmarks and alerting thresholds driven by ML-powered analysis of a customer’s environment
  • Predictive monitoring and alerting: Continuous tracking of performance and machine learning (ML)-powered predictive notifications when a customer is in danger of exceeding the error budget for a given SLA or SLO – along with automated root cause analysis pinpointing exactly what’s driving the variance

The bottom line

Many AIOps and DevOps teams heavily rely on SLAs and SLOs to run their business, but often find them to be scattered across multiple systems and reactively managed, rather than proactively monitored. And as organizations continue to add more and more helpful tools to their tech stack – adding efficiency – they also introduce a new level of complexity and distribution that makes it difficult to monitor and qualify critical benchmarks. Keeping DevOps aligned to meet SLOs makes it easier to optimize team efforts around priority issues. 

Read more about this latest expansion to our product suite here.