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: 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.
TL;DR: A B2B travel tech company boosted developer productivity by 70% and reduced time-to-market by 50% by automating CI/CD pipelines and streamlining Kubernetes management with the Devtron platform.
TL;DR: 73 Strings, a global Fintech, streamlined software distribution in air-gapped environments by automating ~70% of manual processes with Devtron, reducing time-to-market by 60% and improving stability, efficiency and visibility.
TL;DR: The case study covers how Devtron streamlined software distribution across multiple tenants, reducing time-to-market, increased release accuracy with improved visibility in the entire release process. SDH improved deployment efficiency, version tracking, and client/environment segregation.
