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
We're at a critical inflection point in the data landscape. In our recent survey of executive leaders in the data space — The State of Data Observability in 2024 — we found that while 92% of organizations now consider data reliability core to their strategy, most still struggle with fundamental visibility challenges ...
From the accelerating adoption of artificial intelligence (AI) and generative AI (GenAI) to the ongoing challenges of cost optimization and security, these IT leaders are navigating a complex and rapidly evolving landscape. Here's what you should know about the top priorities shaping the year ahead ...
In the heat of the holiday online shopping rush, retailers face persistent challenges such as increased web traffic or cyber threats that can lead to high-impact outages. With profit margins under high pressure, retailers are prioritizing strategic investments to help drive business value while improving the customer experience ...
In a fast-paced industry where customer service is a priority, the opportunity to use AI to personalize products and services, revolutionize delivery channels, and effectively manage peaks in demand such as Black Friday and Cyber Monday are vast. By leveraging AI to streamline demand forecasting, optimize inventory, personalize customer interactions, and adjust pricing, retailers can have a better handle on these stress points, and deliver a seamless digital experience ...
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
