Operations | Monitoring | ITSM | DevOps | Cloud

Many organizations perform periodic data center asset audits to report accurate asset information by cabinet and U position. This information is needed to remotely plan moves, adds, and changes and to facilitate corporate reporting. Data center asset management is often a struggle due to the complex, distributed, and constantly changing environments of modern data centers. They are manual, time-consuming, and human error can result in inaccurate data.

For an application developer, there is certainly a long road between an idea/feature and getting deployed into production with Kubernetes. From a development perspective, having a low barrier of entry and the ability to iterate is key. From a platform engineering/DevOps perspective, creating gains in engineering efficiency all while creating and enforcing policies that do not stifle innovation is key.

Bringing the best software solutions to market as quickly as possible requires using automation to facilitate repetitive tasks (e.g., testing) so you can spend more time writing high-quality code. This is one of the main reasons why today’s top-performing dev teams build continuous integration (CI) and continuous delivery or continuous deployment (CD) pipelines, which enable them to ship new releases faster.