Top mises à jour de 2026
octobre 2026
- Contentkomodor.com
Context Engineering for AI Agents: What to Feed an Agent and What to Leave Out
Komodor introduces 'context engineering' as a discipline for managing what information AI agents receive in operations, emphasizing shared memory, on-demand retrieval, and filtering to avoid distracti…
- komodor.com
Why We Built the Komodor Agentic Operations Platform: Q&A with CEO Ben Ofiri
Komodor unveiled its Agentic Operations Platform, allowing enterprises to build, run, govern, and optimize their own AI agents for SRE and operations tasks like incident response and cost optimization…
septembre 2026
- Contentkomodor.com
Self-Improving Agents: A Practical Guide to Continuous Learning
Komodor published a technical guide on building self-improving AI agents using a teacher-student model for continuous learning. The post outlines a four-role system (teacher, student, coach, evaluator…
- Launchkomodor.com
Introducing the Komodor Agentic Operations Platform
Komodor unveiled its Agentic Operations Platform, a new product enabling autonomous or human-gated incident remediation through customizable AI agents. The platform includes over 50 pre-built agents, …
- komodor.com
Komodor Launches Agentic Operations Platform Combining Ready-to-Run Automation With a Comprehensive Backbone for Custom Agents
Komodor introduced the Agentic Operations Platform, enabling teams to deploy autonomous workflows for AI SRE, software operations, and cost optimization. The platform offers over 50 pre-built speciali…
- Case Studykomodor.com
How Nelnet Transformed Multi-Cloud Kubernetes with Komodor
Nelnet Business Services (NBS) adopted Komodor to unify operations across 11 multi-cloud Kubernetes clusters, reducing support tickets by 75% and increasing platform adoption by 200%. Komodor’s AI-pow…
- Case Studykomodor.com
How Priceline Enhanced Kubernetes Reliability at Scale with Komodor
Priceline adopted Komodor’s Kubernetes troubleshooting platform to address operational delays caused by increased complexity in its Kubernetes environment. Komodor improved Priceline’s RTO and RPO, ac…
- Case Studykomodor.com
How Forter Reduced Cloud Native MTTR and Engineering Toil with AI SRE
Komodor's AI SRE solution helped Forter reduce cloud-native MTTR by 65%, cut costs by 35%, and save over 60 engineering hours monthly. The case study highlights Komodor's role in simplifying Kubernete…
- komodor.com
How OpenTable Optimized Kubernetes Troubleshooting with Komodor
OpenTable adopted Komodor to replace lost real-time deployment visibility after migrating from Singularity/Mesos to Kubernetes. Komodor enabled self-service troubleshooting, reduced platform team tick…
- Case Studykomodor.com
How Digibee Bridged the APM<>K8s Reliability Gap with Komodor
A Digibee case study shows Komodor reduced MTTR by 63%, escalations by 56%, and increased velocity by 24% while enabling developers to troubleshoot Kubernetes issues independently. Digibee replaced a …
- Case Studykomodor.com
How Sophos Reduced Kubernetes MTTR and Unlocked Developer Velocity
Sophos used Komodor’s platform to reduce Kubernetes MTTR by 67% and increase development velocity by 47% during a greenfield Kubernetes-native product launch. The solution provided unified observabili…
- Case Studykomodor.com
How ControlUp Scaled Kubernetes Adoption and Removed DevOps Bottlenecks with Komodor
ControlUp reduced Kubernetes MTTR by 74%, increased development velocity by 46%, and cut DevOps escalations by 81% after adopting Komodor, enabling non-experts to troubleshoot workloads independently.…
- Featurekomodor.com
Product Klip: Kubernetes Drift Management with Komodor
Komodor introduced automated Kubernetes drift management to detect configuration inconsistencies across multi-cluster environments in real time. The feature compares deployments, highlights discrepanc…
- Featurekomodor.com
Product Klip: Add-On Support for Workflow Automation Engines
Komodor introduced add-on support for workflow automation engines like Kubeflow, Airflow, and Apache Spark, enabling data teams to monitor, troubleshoot, and remediate pipeline issues directly within …
- Featurekomodor.com
Product Klip: Add-On Support for cert-manager & External-DNS
Komodor expanded its Kubernetes cluster health management platform to include proactive monitoring and troubleshooting for cert-manager and External-DNS add-ons. The update uses AI agent Klaudia to de…
- Featurekomodor.com
Product Klip: Cluster Health Management
Komodor introduced Cluster Health Management, a feature that provides holistic Kubernetes cluster monitoring with health scores, real-time issue detection, and reliability risk assessment. The system …
- Featurekomodor.com
Rawkode Academy | Complete Guide to Komodor
Komodor, a SaaS tool for Kubernetes debugging, announced a new free tier this week, removing paywall barriers for new users. The update enables immediate access to Komodor’s service overview, event fi…
- Featurekomodor.com
A Complete, Contextual Viewof Everything Cloud Native
Komodor introduced a unified visualization platform with AI-powered insights to provide contextual views of hybrid and multi-cloud Kubernetes environments. The tool aggregates data from logs, metrics,…
- Featurekomodor.com
Highly Accurate, Always onTroubleshooting
Komodor introduced AI-powered features to its SRE platform, including autonomous root cause analysis (>95% accuracy), self-healing remediation, and natural language chat for incident investigation. Th…
- Featurekomodor.com
Ensure Your Workloads Are Running as Intended.All the Time.
Komodor introduced an AI-powered SRE platform update featuring agentic AI for root cause analysis, autonomous remediation, and continuous standards validation across Kubernetes environments. The updat…
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