{"company":{"name":"Komodor","slug":"komodor","website":"https://komodor.com","category":"developer-tools"},"question":"What has Komodor shipped recently?","answer":"In the last 30 days, Komodor shipped 36 tracked updates. The most recent was \"Context Engineering for AI Agents: What to Feed an Agent and What to Leave Out\" on 2026-10-07.","window":{"days":30,"updateCount":36,"returned":36},"generatedAt":"2026-10-08T09:39:43.526Z","updates":[{"title":"Context Engineering for AI Agents: What to Feed an Agent and What to Leave Out","summary":"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 distractions and hallucinations. The post details Komodor’s Agentic Operations Platform’s shared context layer, which stores reviewed facts, change history, and tool-use outcomes to enable consistent agent performance across investigations.","date":"2026-10-07","dateIsEstimated":true,"signalType":"content_marketing","signalTypeLabel":"Content","sourceUrl":"https://komodor.com/blog/context-engineering-for-ai-agents/","publisher":"komodor.com"},{"title":"Why We Built the Komodor Agentic Operations Platform: Q&A with CEO Ben Ofiri","summary":"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. The platform leverages Komodor’s internal agentic engine, Klaudia, to address challenges in governance, visibility, and ROI at cloud scale.","date":"2026-10-06","dateIsEstimated":true,"signalType":null,"signalTypeLabel":null,"sourceUrl":"https://komodor.com/blog/ben-ofiri-interview-agentic-operations-platform/","publisher":"komodor.com"},{"title":"Self-Improving Agents: A Practical Guide to Continuous Learning","summary":"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) where agents iteratively refine prompts based on failure feedback without manual engineering intervention. A GitHub repo demonstrates the approach with a customer support use case.","date":"2026-09-23","dateIsEstimated":true,"signalType":"content_marketing","signalTypeLabel":"Content","sourceUrl":"https://komodor.com/blog/self-improving-agents-practical-guide-to-continuous-learning/","publisher":"komodor.com"},{"title":"Introducing the Komodor Agentic Operations Platform","summary":"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, fleet management for model and tool access control, and governance features like LLM-as-judge evaluations and shadow experiments for accuracy validation.","date":"2026-09-16","dateIsEstimated":true,"signalType":"product_launch","signalTypeLabel":"Launch","sourceUrl":"https://komodor.com/introducing-the-komodor-agentic-operations-platform/","publisher":"komodor.com"},{"title":"Komodor Launches Agentic Operations Platform Combining Ready-to-Run Automation With a Comprehensive Backbone for Custom Agents","summary":"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 specialist agents and integrations, while allowing custom agent development with shared governance, persistent memory, and cost controls. It addresses production challenges like context grounding, accuracy, and security, leveraging Komodor’s five years of AI SRE experience.","date":"2026-09-16","dateIsEstimated":false,"signalType":null,"signalTypeLabel":null,"sourceUrl":"https://komodor.com/blog/komodor-launches-agentic-operations-platform-combining-ready-to-run-automation-with-a-comprehensive-backbone-for-custom-agents/","publisher":"komodor.com"},{"title":"How Nelnet Transformed Multi-Cloud Kubernetes with Komodor","summary":"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-powered troubleshooting and unified UI enabled faster resolution times, cost savings through rightsizing, and improved developer autonomy.","date":"2026-09-16","dateIsEstimated":true,"signalType":"case_study","signalTypeLabel":"Case Study","sourceUrl":"https://komodor.com/customers/how-nelnet-transformed-multi-cloud-kubernetes-with-komodor/","publisher":"komodor.com"},{"title":"How Priceline Enhanced Kubernetes Reliability at Scale with Komodor","summary":"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, accelerated troubleshooting, and fostered a proactive shift-left culture, enabling faster feature releases and better customer experience.","date":"2026-09-15","dateIsEstimated":true,"signalType":"case_study","signalTypeLabel":"Case Study","sourceUrl":"https://komodor.com/customers/how-priceline-enhanced-kubernetes-reliability-at-scale-with-komodor/","publisher":"komodor.com"},{"title":"How Forter Reduced Cloud Native MTTR and Engineering Toil with AI SRE","summary":"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 Kubernetes operations and consolidating tooling for Forter's 200+ engineers.","date":"2026-09-15","dateIsEstimated":true,"signalType":"case_study","signalTypeLabel":"Case Study","sourceUrl":"https://komodor.com/customers/forter-case-study/","publisher":"komodor.com"},{"title":"How OpenTable Optimized Kubernetes Troubleshooting with Komodor","summary":"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 tickets, and improved operational efficiency for OpenTable’s 300+ engineers.","date":"2026-09-15","dateIsEstimated":true,"signalType":null,"signalTypeLabel":null,"sourceUrl":"https://komodor.com/customers/how-opentable-optimized-kubernetes-troubleshooting-with-komodor/","publisher":"komodor.com"},{"title":"How Digibee Bridged the APM<>K8s  Reliability Gap with Komodor","summary":"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 complex APM with Komodor despite a $3k/month cost increase, citing immediate adoption and ROI.","date":"2026-09-15","dateIsEstimated":true,"signalType":"case_study","signalTypeLabel":"Case Study","sourceUrl":"https://komodor.com/customers/how-digibee-bridged-the-apmk8s-reliability-gap-with-komodor/","publisher":"komodor.com"},{"title":"How Sophos Reduced Kubernetes MTTR and Unlocked Developer Velocity","summary":"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 observability, AI-driven RCA via Klaudia, and developer-friendly troubleshooting.","date":"2026-09-15","dateIsEstimated":true,"signalType":"case_study","signalTypeLabel":"Case Study","sourceUrl":"https://komodor.com/customers/how-sophos-reduced-kubernetes-mttr-unlocked-developer-velocity/","publisher":"komodor.com"},{"title":"How ControlUp Scaled Kubernetes Adoption and Removed DevOps Bottlenecks with Komodor","summary":"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. Komodor’s AI-powered platform provided unified visibility and contextual insights to scale operations without expanding DevOps headcount.","date":"2026-09-15","dateIsEstimated":true,"signalType":"case_study","signalTypeLabel":"Case Study","sourceUrl":"https://komodor.com/customers/how-controlup-scaled-kubernetes-adoption-and-removed-devops-bottlenecks-with-komodor/","publisher":"komodor.com"},{"title":"Product Klip: Kubernetes Drift Management with Komodor","summary":"Komodor introduced automated Kubernetes drift management to detect configuration inconsistencies across multi-cluster environments in real time. The feature compares deployments, highlights discrepancies like failed deployments or image pull errors, and helps teams maintain cluster consistency to prevent incidents.","date":"2026-09-14","dateIsEstimated":true,"signalType":"feature_update","signalTypeLabel":"Feature","sourceUrl":"https://komodor.com/resources/product-klip-kubernetes-drift-management-with-komodor/","publisher":"komodor.com"},{"title":"Product Klip: Add-On Support for Workflow Automation Engines","summary":"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 Komodor. The feature uses AI analysis (Klaudia) to pinpoint failures, explain root causes (e.g., scale-down events), and provide step-by-step remediation without escalating to MLOps teams.","date":"2026-09-14","dateIsEstimated":true,"signalType":"feature_update","signalTypeLabel":"Feature","sourceUrl":"https://komodor.com/resources/product-klip-add-on-support-for-workflow-automation-engines/","publisher":"komodor.com"},{"title":"Product Klip: Add-On Support for cert-manager & External-DNS","summary":"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 detect issues like expiring certificates or DNS rate limits, predict downstream failures, and provide step-by-step remediation guidance before outages occur.","date":"2026-09-14","dateIsEstimated":true,"signalType":"feature_update","signalTypeLabel":"Feature","sourceUrl":"https://komodor.com/resources/product-klip-add-on-support-for-cert-manager-external-dns/","publisher":"komodor.com"},{"title":"Product Klip: Cluster Health Management","summary":"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 uses AI agent Klaudia to correlate unrelated signals, identify root causes, and suggest remediations, including deployment rollbacks or resource adjustments.","date":"2026-09-14","dateIsEstimated":true,"signalType":"feature_update","signalTypeLabel":"Feature","sourceUrl":"https://komodor.com/resources/product-klip-cluster-health-management/","publisher":"komodor.com"},{"title":"Rawkode Academy | Complete Guide to Komodor","summary":"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 filtering, and best-practice recommendations without cost, while paid features remain available for advanced use cases.","date":"2026-09-14","dateIsEstimated":true,"signalType":"feature_update","signalTypeLabel":"Feature","sourceUrl":"https://komodor.com/resources/rawkode-academy-complete-guide-to-komodor-2/","publisher":"komodor.com"},{"title":"A Complete, Contextual Viewof Everything Cloud Native","summary":"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, and configurations to surface reliability issues, blind spots, and causal relationships across clusters.","date":"2026-09-14","dateIsEstimated":true,"signalType":"feature_update","signalTypeLabel":"Feature","sourceUrl":"https://komodor.com/platform/visualization-insights-cloud-native-infrastructure/","publisher":"komodor.com"},{"title":"Highly Accurate, Always onTroubleshooting","summary":"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. The updates reduce MTTR by 70% and integrate with existing workflows via Slack, Teams, and APIs.","date":"2026-09-14","dateIsEstimated":true,"signalType":"feature_update","signalTypeLabel":"Feature","sourceUrl":"https://komodor.com/platform/troubleshooting-cloud-native-infrastructure/","publisher":"komodor.com"},{"title":"Ensure Your Workloads Are Running as Intended.All the Time.","summary":"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 update adds drift detection, governance guardrails, and policy enforcement with OPA/Kyverno integrations to proactively mitigate risks like cascading failures and configuration drift.","date":"2026-09-14","dateIsEstimated":true,"signalType":"feature_update","signalTypeLabel":"Feature","sourceUrl":"https://komodor.com/platform/continuous-reliability/","publisher":"komodor.com"},{"title":"Autonomous, Reliability-First Cost Optimization","summary":"Komodor introduced autonomous cost optimization for Kubernetes, leveraging AI to reduce cloud spend by up to 80% without compromising reliability. Features include Capacity Intelligence, Predictive Placement, Continuous Workload Rightsizing, and Smart Headroom, all designed to proactively fix inefficiencies while maintaining production stability.","date":"2026-09-14","dateIsEstimated":true,"signalType":"feature_update","signalTypeLabel":"Feature","sourceUrl":"https://komodor.com/platform/cost-performance-optimization/","publisher":"komodor.com"},{"title":"Empower Developers withSelf Service K8s Troubleshooting","summary":"Komodor introduced KlaudiaAI, an AI-driven Kubernetes troubleshooting tool designed to simplify Day-2 operations for developers. The platform automates issue detection, provides contextual insights, and offers remediation advice via visual timelines, reducing resolution times from hours to minutes while maintaining platform team governance through granular RBAC and SSO integrations.","date":"2026-09-14","dateIsEstimated":true,"signalType":null,"signalTypeLabel":null,"sourceUrl":"https://komodor.com/solutions/developer-empowerment/","publisher":"komodor.com"},{"title":"Kubernetes Community Days UK - Edinburgh 2026","summary":"Kubernetes Community Days UK will return to Edinburgh on October 19-20, 2026, as a two-day event focused on cloud-native technologies, open-source projects, and workshops. Organized by community leaders and supported by the CNCF, the event aims to foster learning, networking, and collaboration among UK-based cloud-native professionals.","date":"2026-09-14","dateIsEstimated":true,"signalType":null,"signalTypeLabel":null,"sourceUrl":"https://community2.cncf.io/events/details/cncf-kcd-uk-presents-kubernetes-community-days-uk-edinburgh-2026/","publisher":"community2.cncf.io"},{"title":"KCD Porto 2026 | Collab with DevOps Days Portugal","summary":"KCD Porto 2026, a major Kubernetes and cloud-native event, will take place November 19–20, 2026, in Porto, Portugal, in collaboration with DevOps Days Portugal. The event expects 500+ attendees, features an open call for speakers until July 15, 2026, and offers sponsorship opportunities. Last year’s edition drew 330+ participants and 40+ talks.","date":"2026-09-14","dateIsEstimated":true,"signalType":null,"signalTypeLabel":null,"sourceUrl":"https://community2.cncf.io/events/details/cncf-kcd-porto-presents-kcd-porto-2026-collab-with-devops-days-portugal/","publisher":"community2.cncf.io"},{"title":"AWS Summit New York City","summary":"AWS Summit New York City unveiled new agentic AI capabilities aimed at accelerating development, security, and workflow automation. Highlights included an AI assistant for continuous work, AI-native development tools, and machine-speed security features like continuous vulnerability scanning. The event also featured 200+ sessions and industry-specific zones.","date":"2026-09-14","dateIsEstimated":true,"signalType":null,"signalTypeLabel":null,"sourceUrl":"https://aws.amazon.com/events/summits/new-york/","publisher":"aws.amazon.com"},{"title":"Kubernetes Community Days Helsinki 2026","summary":"Kubernetes Community Days (KCD) Helsinki 2026 will be held on May 20, 2026, at Aalto University, expanding capacity to 500 attendees. The event features 30 talks across 3 tracks, workshops, poster sessions, and a women’s community gathering, with ticket sales now open.","date":"2026-09-14","dateIsEstimated":true,"signalType":null,"signalTypeLabel":null,"sourceUrl":"https://community2.cncf.io/events/details/cncf-kcd-helsinki-presents-kubernetes-community-days-helsinki-2026/","publisher":"community2.cncf.io"},{"title":"Codifying Tribal Knowledge – How to Build Long Term Memory for AI Agents","summary":"Komodor’s AI Innovation Engineer detailed how to design long-term memory systems for AI agents to retain tribal knowledge in SRE workflows. The talk emphasized distilling raw session data into reusable playbooks, segmenting memories by operational categories, and maintaining active memory through consolidation and decay. Benchmarks showed ~110-second faster RCA resolution and 4.3% higher accuracy.","date":"2026-09-14","dateIsEstimated":true,"signalType":"content_marketing","signalTypeLabel":"Content","sourceUrl":"https://komodor.com/resources/codifying-tribal-knowledge-how-to-build-long-term-memory-for-ai-agents/","publisher":"komodor.com"},{"title":"Conquering the Complexity of Self-Hosted Apps with Agentic AI SRE","summary":"Komodor hosted a webinar introducing its Agentic AI SRE approach to address the complexities of deploying and monitoring self-hosted SaaS applications across diverse Kubernetes environments. The session highlighted the shift from traditional API-driven observability to autonomous AI troubleshooting, emphasizing lean agents, environment blueprints, and localized knowledge bases to enable proactive incident resolution.","date":"2026-09-14","dateIsEstimated":true,"signalType":"event","signalTypeLabel":"Event","sourceUrl":"https://komodor.com/resources/conquering-the-complexity-of-self-hosted-apps-with-agentic-ai-sre/","publisher":"komodor.com"},{"title":"Are AI SRE Agents Ready for Prime Time? Building Trust in Autonomous Operations","summary":"Komodor introduced Klaudia, its AI SRE agent designed to automate root cause analysis and remediation for Kubernetes issues. The company also unveiled a Failure Playground to simulate real-world failures for benchmarking AI tools and a model-as-judge evaluation system to ensure accuracy and reliability.","date":"2026-09-14","dateIsEstimated":true,"signalType":"product_launch","signalTypeLabel":"Launch","sourceUrl":"https://komodor.com/resources/are-ai-sre-agents-ready-for-prime-time-building-trust-in-autonomous-operations/","publisher":"komodor.com"},{"title":"Accelerate and OptimizeAI/ML Workloads on Kubernetes","summary":"Komodor expanded its Kubernetes management platform to better support AI/ML workloads, adding native integration with engines like ArgoWFs, Airflow, Kubeflow, and Strimzi, AI-powered troubleshooting, and resource optimization features. The update targets non-expert Kubernetes users, aiming to simplify workflows, reduce costs, and improve visibility for data scientists and engineers.","date":"2026-09-14","dateIsEstimated":true,"signalType":"feature_update","signalTypeLabel":"Feature","sourceUrl":"https://komodor.com/solution/ai-ml-workloads-kubernetes/","publisher":"komodor.com"},{"title":"Fix Cloud-Native IssuesFastwith Komodor","summary":"Komodor launched KlaudiaAI, a proprietary virtual SRE agent that automates root-cause analysis for Kubernetes issues using historical data and metrics. The update also highlights expanded developer self-service capabilities and proactive cluster scanning to reduce mean time to remediation (MTTR).","date":"2026-09-14","dateIsEstimated":true,"signalType":"feature_update","signalTypeLabel":"Feature","sourceUrl":"https://komodor.com/solutions/reduce-mttr/","publisher":"komodor.com"},{"title":"Accelerating Kubernetes Intelligence: Cisco’s Platform Evolution","summary":"Cisco’s Outshift incubation unit open-sourced CAIPE, a multi-agent system for Kubernetes platform engineering, built on LangGraph and standardized with A2A. The system integrates with Backstage, VS Code, CLI, and messaging tools to automate dev workflows like CI/CD setup, troubleshooting, and access management.","date":"2026-09-14","dateIsEstimated":true,"signalType":"product_launch","signalTypeLabel":"Launch","sourceUrl":"https://komodor.com/resources/accelerating-kubernetes-intelligence-ciscos-platform-evolution/","publisher":"komodor.com"},{"title":"Codifying Tribal Knowledge: How to Build Long-Term Memory for AI SRE Agents","summary":"Komodor introduced Klaudia Memory, a long-term operational memory system for its AI SRE agent, Klaudia, designed to retain and recall incident resolution knowledge over time. Built on PostgreSQL and pgvector, it uses hybrid retrieval (exact, lexical, and semantic search) to fuse episodic and semantic SRE knowledge, reducing multi-step derivations to one-line recalls. The system has processed 200K+ memories across 1,800+ clusters in production.","date":"2026-09-14","dateIsEstimated":true,"signalType":"feature_update","signalTypeLabel":"Feature","sourceUrl":"https://komodor.com/codifying-tribal-knowledge-how-to-build-long-term-memory-for-ai-sre-agents/","publisher":"komodor.com"},{"title":"AI SRESummit2026","summary":"The AI SRE Summit 2026, a virtual event held on May 12, 2026, gathered 2,000+ SREs, platform engineers, and DevOps leaders to discuss AI’s role in modern reliability engineering. Sessions focused on real-world AI SRE implementations, autonomous systems, cost optimization, and observability challenges.","date":"2026-09-14","dateIsEstimated":true,"signalType":"event","signalTypeLabel":"Event","sourceUrl":"https://komodor.com/ai-sre-summit-2026/","publisher":"komodor.com"},{"title":"Karpenter: Can’t Live With It, Can’t Live Without It","summary":"Komodor’s webinar compares Kubernetes node autoscaling tools, highlighting Cluster Autoscaler’s rigid node-group approach and Karpenter’s dynamic, pod-driven provisioning. It frames Karpenter as solving operational overhead, overprovisioning, and latency issues, while noting its own cost optimization layer addresses gaps in both systems.","date":"2026-09-14","dateIsEstimated":true,"signalType":"content_marketing","signalTypeLabel":"Content","sourceUrl":"https://komodor.com/resources/karpenter-cant-live-with-it-cant-live-without-it/","publisher":"komodor.com"},{"title":"Building Quality-Driven Agentic AI in Noisy Big Data Environments","summary":"Komodor’s CTO presented a webinar detailing their agentic AI system, Klaudia, designed to troubleshoot Kubernetes environments without hallucinations. The architecture uses a multi-agent system combining ML for data filtering and LLMs for reasoning, with a 93-94% accuracy rate validated through shadow agents and LLM-as-judge methods.","date":"2026-09-14","dateIsEstimated":true,"signalType":"content_marketing","signalTypeLabel":"Content","sourceUrl":"https://komodor.com/resources/building-quality-driven-agentic-ai-in-noisy-big-data-environments/","publisher":"komodor.com"}],"attribution":{"source":"Spyingbee","url":"https://spyingbee.com/updates/komodor","citation":"Spyingbee, \"Komodor updates\", https://spyingbee.com/updates/komodor (retrieved 2026-10-08)"}}