Komodor tracks changes across your entire K8s stack, analyzing their ripple effect and providing you with the context you need to troubleshoot efficiently and independently.
“Komodor is one of those tools that you can not stop and wonder how it didn’t exist before. From the insightful slack notifications, the high-level services view, and up to the finest details – like the actual K8s code diff. It is a complete game-changer for us”Yuri Yeshurin
Software Architect ,
Splitit
“After a five minutes installation, Komodor was able to show us exactly the info needed for troubleshooting – who changed what and when for any deployment in our cluster. It’s the most intuitive way to handle our system reliability.”Eran Bibi
R&D Director, DevOps & SaaS Platform ,
Aqua Security
“Komodor transforms our troubleshooting process completely. From a chaotic process, which involved far too many people and took far too much time, we can have one platform to troubleshoot fast and independently.“Amir Daniel
Cloud Operations Team Leader ,
Varonis
“Komodor has simplified our troubleshooting process substantially, and now our engineers can troubleshoot fast and independently on a single platform“Dudi Cohen
VP of Research and Development ,
Rookout
“Komodor provides the high visibility needed to troubleshoot efficiently. It is a valuable tool in the modern DevOps tool suite“Elhay Efrat
Advance Analytics DevOps Technical leader (ML expert) ,
Intel
Today’s microservices systems are complex, distributed and they are constantly changing. Keeping track of so many moving parts in so many places often seems nearly impossible!
Komodor is the missing piece in your DevOps tool chain – offering one unified platform from which you can gain a deep understanding of all of your system events, changes and their effect.
Make the knowledge and expertise that has traditionally been held by only a few, clear and visible to Dev and SRE teams.
Gain the K8s visibility you are lacking. See your deployments on a timeline with the relevant information: what changed, what code was pushed and by whom.
View data from your Git, config, infra, alerting and other tools, in one centralized and easy-to-understand display.
Troubleshoot your microservices based on the most relevant context, connections and dependencies.
Troubleshooting is HARD. Komodor provides you with the data you need, when you need it. For each service, Komodor displays a coherent view, including relevant deployments, config changes, and alerts.
Full activity timeline, including code and config changes, deployments and alerts
Blind spots that used to be impossible to find
A complete drill-down to your K8s diff
In a microservices-based environment, service and its dependencies are constantly changing and any code change in one service can break several other services. Komodor makes it easy to understand these connections and how the changes affect the system as a whole. With Komodor, you can slice service data and relations according to team, group, business unit and more, in order to see what’s really happening under the hood and to:
Uncover related services
Easily understand cross-service changes
View the data insights that are most relevant for troubleshooting
Komodor anticipates and identifies the hazardous situations that are just around the corner, helping you prevent them from disrupting your service and hurting your end users, such as:
Failed deployments
Unhealthy services
Kubernetes misconfigurations
We enrich alerts with details about the relevant changes that took place, severity levels & potential impact, helping you speed up response time. With Komodor you can:
Reduce alert noise
Triage instantly on Slack
Leverage Slackbot capabilities
Optimize the troubleshooting process and free your devs-on-call to focus on their daily strategic work. Innovate faster without increasing operational risk.
Detect and resolve issues to prevent escalation. Enable any on-call developer to quickly uncover root causes and get the right teams involved for rapid resolution.
Manage your ever-growing system complexity, change frequency and alert volume without having to grow headcount and without an increasing burnout rate. Boost resolution rates, involve fewer people in the process and release DevOps bottlenecks seamlessly.