OpsWorker vs. Cleric

Modern digital businesses rely on highly distributed cloud-native systems where even small incidents can impact revenue, customer experience, and engineering productivity. As infrastructure complexity grows, resolving production incidents requires correlating signals across multiple tools, services, and teams. OpsWorker helps technology and business leaders reduce operational risk, accelerate incident resolution, and enable engineering teams to focus on innovation instead of firefighting. Resolve production incidents and development issues with AI that understands your code, infrastructure, and telemetry — reducing MTTR by up to 80% and boosting engineering productivity by 50%. OpsWorker helps Software Developers, SREs, and DevOps Engineers reduce MTTR, resolve complex development issues, and manage high-incident environments. Through intelligent incident correlation, code-aware troubleshooting, and deep integration into your technical ecosystem, OpsWorker delivers actionable insights and autonomous remediation — ensuring resilient, high-performance operations across Kubernetes and Cloud workloads. Built as an AI SRE platform for modern AIOps, OpsWorker leverages AI Observability to analyze incidents across distributed systems, correlating signals from metrics, logs, traces, infrastructure state, and deployments to surface the most probable root cause within minutes. Designed with an EU-first approach, OpsWorker prioritizes data sovereignty, privacy, and enterprise-grade security while enabling engineering teams to investigate incidents faster and operate complex cloud-native environments with confidence. Recent platform capabilities include Resource Topology and Service Dependency mapping, providing full visibility into upstream and downstream service interactions across HTTP, TCP, and gRPC workloads. OpsWorker integrates with Grafana Alerting contact points and supports Bring Your Own LLM, enabling organizations to use their preferred AI models.

Cleric functions as a self-sufficient AI Site Reliability Engineer (SRE) that independently monitors, enhances, and resolves issues in software infrastructure without requiring human intervention. This collaborative AI partner integrates smoothly with a range of existing tools like Kubernetes, Datadog, Prometheus, and Slack, allowing it to investigate and troubleshoot production problems effectively. By autonomously handling alerts, Cleric allows engineers to focus their efforts on development tasks instead of repetitive duties. It has the capability to assess multiple systems at once, delivering insights in just minutes—an endeavor that would normally take hours if done manually. When confronted with new challenges, Cleric generates hypotheses and conducts real-time queries using its built-in tools, sharing its conclusions only when it is certain of its results. Each investigation further refines Cleric's abilities by learning from real-world outcomes and incidents. After just one month, Cleric can take on around 20–30% of on-call duties, allowing your team to emphasize solving complex issues rather than dealing with routine alert management. Consequently, this not only enhances the overall productivity of the engineering team but also fosters a work environment where creativity and innovation can thrive more freely.