A Kubernetes head with a travelling soul. Abhinav is a highly motivated and a lifelong learner with a passion for open-source software and cloud-native technologies.
TL;DR: Monitoring & observability is the core of software delivery. In this blog, we will see how easily you can set up the monitoring stack with Devtron and observe applications.
Kubernetes Deployment vs StatefulSet explained: Learn the key differences between stateless and stateful workloads, pod identity, storage, scaling, and best practices. Understand when to use each to ensure high availability and data consistency in Kubernetes clusters.
TL;DR: Kubernetes observability offers deep insights through logs, metrics, & traces, enabling teams to quickly diagnose and resolve issues. It ensures reliability, faster root cause analysis, and optimized resource use in dynamic, cloud-native environments.
TL;DR: AI-assisted development is no longer a futuristic concept; it’s the present reality. With AI accelerating the development velocity, can your legacy, fragmented tooling can help you sustain the frequent code deployments?
Xoxoday transformed its Kubernetes workflow, reducing time-to-market by 50%, improving production stability by 80%, and boosting developer productivity by 60%. Automation, multi-cluster support, and self-serve enablement empowered teams to scale efficiently and innovate faster.
Lemnisk transformed its Kubernetes workflows with Devtron, cutting MTTR by 80%, speeding time-to-market by 70%, and boosting developer productivity by 60%. By leveraging Devtron's Kubernetes-native CI/CD and software distribution hub, Lemnisk streamlined deployments and reduced DevOps dependencies.
Devtron enabled Cookr, a food tech startup, to achieve 70% faster builds and 60% faster time-to-market, showcasing how simplified Kubernetes management empowers small teams to scale efficiently and reduce operational overhead.
