Case Study
Awards
LogDNA and IBM find synergy in cloud
First published on www.ibm.com on October 7, 2019
Written by: Norman Hsieh, VP of Business Development, LogDNA
You know what they say: you can’t fix what you can’t find. That’s what makes log management such a critical element in the DevOps process. Logging provides key information for software developers on the lookout for code errors.
While working on their third startup in 2013, Chris Nguyen and Lee Liu realized that traditional log management was wholly inadequate for addressing data sprawl in the modern, cloud-native development stack. That epiphany was the impetus for LogDNA, a twist on a logging platform that could respond and scale in dynamic cloud environments.
What was straightforward when writing code for one server became unwieldy as virtualization, with multiple servers in a single machine, moved into the data center and exploded the amount of log files. As applications grow, so do code issues. And as pressure mounts on IT for zero downtime, developers need real-time visibility and an easy way to chase data activity. Containers help isolate issues, but they still largely depend on the IT infrastructure team who are unfamiliar with the applications to manage logging, and that can tax limited resources.
Building on top of the popular elasticsearch, LogDNA set out to create a solution modernized enough to provide DevOps intelligence and automatically organize all that data. Fortunately, the LogDNA team saw the writing on the wall: Kubernetes. The timing was perfect. Developers were starting to adopt the lightweight, open source platform for managing containerized workloads. LogDNA seized on the advanced orchestration capabilities of Kubernetes in cloud environments and spun out an integrated, managed software-as-a-service (SaaS) solution that began to gain traction.
What was straightforward when writing code for one server became unwieldy as virtualization, with multiple servers in a single machine, moved into the data center and exploded the amount of log files. As applications grow, so do code issues. And as pressure mounts on IT for zero downtime, developers need real-time visibility and an easy way to chase data activity. Containers help isolate issues, but they still largely depend on the IT infrastructure team who are unfamiliar with the applications to manage logging, and that can tax limited resources. Building on top of the popular elasticsearch, LogDNA set out to create a solution modernized enough to provide DevOps intelligence and automatically organize all that data. Fortunately, the LogDNA team saw the writing on the wall: Kubernetes. The timing was perfect. Developers were starting to adopt the lightweight, open source platform for managing containerized workloads. LogDNA seized on the advanced orchestration capabilities of Kubernetes in cloud environments and spun out an integrated, managed software-as-a-service (SaaS) solution that began to gain traction.
What was straightforward when writing code for one server became unwieldy as virtualization, with multiple servers in a single machine, moved into the data center and exploded the amount of log files. As applications grow, so do code issues. And as pressure mounts on IT for zero downtime, developers need real-time visibility and an easy way to chase data activity. Containers help isolate issues, but they still largely depend on the IT infrastructure team who are unfamiliar with the applications to manage logging, and that can tax limited resources. Building on top of the popular elasticsearch, LogDNA set out to create a solution modernized enough to provide DevOps intelligence and automatically organize all that data. Fortunately, the LogDNA team saw the writing on the wall: Kubernetes. The timing was perfect. Developers were starting to adopt the lightweight, open source platform for managing containerized workloads. LogDNA seized on the advanced orchestration capabilities of Kubernetes in cloud environments and spun out an integrated, managed software-as-a-service (SaaS) solution that began to gain traction.
What was straightforward when writing code for one server became unwieldy as virtualization, with multiple servers in a single machine, moved into the data center and exploded the amount of log files. As applications grow, so do code issues. And as pressure mounts on IT for zero downtime, developers need real-time visibility and an easy way to chase data activity. Containers help isolate issues, but they still largely depend on the IT infrastructure team who are unfamiliar with the applications to manage logging, and that can tax limited resources. Building on top of the popular elasticsearch, LogDNA set out to create a solution modernized enough to provide DevOps intelligence and automatically organize all that data. Fortunately, the LogDNA team saw the writing on the wall: Kubernetes. The timing was perfect. Developers were starting to adopt the lightweight, open source platform for managing containerized workloads. LogDNA seized on the advanced orchestration capabilities of Kubernetes in cloud environments and spun out an integrated, managed software-as-a-service (SaaS) solution that began to gain traction.
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