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.
K8s observability offers deep insights through logs, metrics, and 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. Let’s dive into Kubernetes observability in this blog
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.
