New Relic announced the general availability of service level management experience to empower developers, operators and executives to operationalize SRE best practices to maintain system uptime and reliability.
The new experience includes one-click Service Level Indicators (SLIs) and Service Level Objectives (SLOs) setup, powerful recommendations to customize metrics, unified health reports and alerting for SLO compliance, error budget tracking, and more.
New Relic customers can use service level management without any additional costs or licenses, as it is included with the all-in-one New Relic One observability platform.
This launch further improves upon the 3X+ more value that New Relic customers receive compared to other observability platforms, which require 13+ different SKUs with disjointed experiences and legacy host-based pricing models.
Enterprises are aggressively adopting agile development, DevOps, CI/CD, and pipeline automation practices to increase software delivery velocity. The consequence of speeding up, however, is that each software release comes with the risk of impacting an organization's goals of customer experience, availability, performance or other business KPIs. In order to sustainably increase release velocity and adopt SRE best practices, teams are faced with three main challenges.
First, teams are hindered by a lack of knowledge of which system metrics are most impactful to business performance.
Second, it takes months to get multiple teams to implement standardized SLO and SLI based monitoring.
Third, teams are often required to track service levels with manual processes and ad hoc tooling, rather than a comprehensive, easy-to-use product experience. New Relic service level management addresses these challenges by giving every development team a one-click option to set up and track their SLI and SLO metrics. Each team's setup is relevant to the services they manage, yet in a consistent report familiar to engineering leaders and executives who manage multiple teams.
“Our mission is to help every engineer do their best work based on data, not opinions. With service level management in New Relic One, we’re empowering engineers to adopt and operationalize the industry best practices in SRE and DevOps — making standardized reliability and uptime measurement a critical part of the entire software development lifecycle,” said New Relic CEO Bill Staples. “Feedback from developers, operations and even executives at companies who have used this capability in preview has been overwhelmingly positive. I look forward to all our customers adopting this capability and realizing more value from their investment in New Relic for all their observability needs.”
New Relic’s service level management experience includes:
- One-click setup: Create SLIs in one click and automatically establish a baseline of desired performance and reliability for SLO compliance.
- Guided configuration: Use recommendations powered by historical data to establish benchmarks and customize and configure SLIs and SLOs.
- SLO/SLI automation and organization: Set service boundaries and track reliability across teams based on automatic benchmarks, tags, reports, bespoke views for both service owners and business leaders, and automation via Terraform.
- Unified reporting and alerting: Monitor and alert on SLI attainment, SLO compliance metrics, and error budgets in a unified, transparent dashboard. Tie these measurements back to customer-facing SLAs to ensure compliance and reduce risk.
- Free access: All service level management capabilities are available for New Relic customers with full platform access for no additional cost.
Service level management in New Relic One is now generally available across all regions as part of the New Relic One platform — the only all-in-one observability platform with a secure telemetry cloud, powerful full-stack analysis tools and predictable consumption pricing instead of disjointed SKU bundles. All existing customers can access this new capability without any additional cost as part of their New Relic One account. New customers can sign up and start using the experience for free, no credit card needed.
The Latest
Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...
For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...
Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...
Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...
For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...
New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...
Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...
In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ...
In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...
When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...