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Komodor Platform Updated

Komodor announced a new version of the Komodor platform that extends its existing Kubernetes management capabilities to support the full ecosystem of K8 add-ons (including popular CRDs and operators).

Komodor now enables Platform Engineering teams and developers to visualize, operate, detect, investigate, remediate and optimize all the components in Kubernetes clusters including workloads, native resources and its complex ecosystem of add-ons.

Komodor centralizes and automates the daily operation, health management and troubleshooting of issues associated with add-ons along with native Kubernetes resources, to prevent cascading failures, latency, and performance degradation and enhance long-term reliability.

One example is cert-manager (the leading certificate manager add-on), which is present in virtually every Kubernetes environment. When misconfigured, certificates can expire unnoticed, leading to application outages. Komodor’s automated detection and root cause analysis not only identifies these issues before they can impact operations, but also provides a clear path to remediation, saving hours of manual troubleshooting and avoiding downtime.

“Kubernetes has evolved from a container orchestration platform into a sprawling ecosystem that requires a multitude of add-ons—ranging from autoscaling and security to storage and networking—to meet modern operational demands,” said Itiel Shwartz, Co-Founder & CTO of Komodor. “Managing these essential add-ons can be cumbersome, and misconfigurations often lead to significant downtime or reliability risks. Komodor gives teams a powerful and automated way to handle add-ons so they add functionality but do not introduce operational headaches.”

Komodor now provides full-stack management of Kubernetes clusters including workloads, native resources as well as its ecosystem of add-ons. The Komodor platform automates visibility, health management, investigation, operations and cost optimization to maintain reliability, availability and resilience of applications. The new capabilities include:

- Centralized Visibility & Management: Komodor provides a central console for visibility and control over all Kubernetes add-ons. This single pane of glass simplifies daily operations and enables DevOps engineers to understand how each add-on interacts with other assets in their environment.

- Proactive Risk Discovery & Automated Troubleshooting: Using Komodor’s proprietary technology and AI-driven root cause analysis, the new capabilities provide out-of-the-box detection of pending issues before they impact operations with real-time alerts and actionable insights. Whether it's a misconfigured cert-manager causing certificate renewal failures or a failing autoscaler, Komodor rapidly pinpoints the root cause of issues and offers intuitive, automated remediation playbooks.

- Reduced Operational Complexity: By automating the root cause analysis of issues, Komodor reduces the complexity associated with manually maintaining multiple add-ons, shortens mean time to repair (MTTR), and enables developers to fix problems on their own.

The Komodor platform with full-stack management capabilities for Kubernetes and its add-ons ecosystem is available immediately from Komodor and its business partners worldwide.

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Komodor Platform Updated

Komodor announced a new version of the Komodor platform that extends its existing Kubernetes management capabilities to support the full ecosystem of K8 add-ons (including popular CRDs and operators).

Komodor now enables Platform Engineering teams and developers to visualize, operate, detect, investigate, remediate and optimize all the components in Kubernetes clusters including workloads, native resources and its complex ecosystem of add-ons.

Komodor centralizes and automates the daily operation, health management and troubleshooting of issues associated with add-ons along with native Kubernetes resources, to prevent cascading failures, latency, and performance degradation and enhance long-term reliability.

One example is cert-manager (the leading certificate manager add-on), which is present in virtually every Kubernetes environment. When misconfigured, certificates can expire unnoticed, leading to application outages. Komodor’s automated detection and root cause analysis not only identifies these issues before they can impact operations, but also provides a clear path to remediation, saving hours of manual troubleshooting and avoiding downtime.

“Kubernetes has evolved from a container orchestration platform into a sprawling ecosystem that requires a multitude of add-ons—ranging from autoscaling and security to storage and networking—to meet modern operational demands,” said Itiel Shwartz, Co-Founder & CTO of Komodor. “Managing these essential add-ons can be cumbersome, and misconfigurations often lead to significant downtime or reliability risks. Komodor gives teams a powerful and automated way to handle add-ons so they add functionality but do not introduce operational headaches.”

Komodor now provides full-stack management of Kubernetes clusters including workloads, native resources as well as its ecosystem of add-ons. The Komodor platform automates visibility, health management, investigation, operations and cost optimization to maintain reliability, availability and resilience of applications. The new capabilities include:

- Centralized Visibility & Management: Komodor provides a central console for visibility and control over all Kubernetes add-ons. This single pane of glass simplifies daily operations and enables DevOps engineers to understand how each add-on interacts with other assets in their environment.

- Proactive Risk Discovery & Automated Troubleshooting: Using Komodor’s proprietary technology and AI-driven root cause analysis, the new capabilities provide out-of-the-box detection of pending issues before they impact operations with real-time alerts and actionable insights. Whether it's a misconfigured cert-manager causing certificate renewal failures or a failing autoscaler, Komodor rapidly pinpoints the root cause of issues and offers intuitive, automated remediation playbooks.

- Reduced Operational Complexity: By automating the root cause analysis of issues, Komodor reduces the complexity associated with manually maintaining multiple add-ons, shortens mean time to repair (MTTR), and enables developers to fix problems on their own.

The Komodor platform with full-stack management capabilities for Kubernetes and its add-ons ecosystem is available immediately from Komodor and its business partners worldwide.

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

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 ...