In today’s ever-changing business landscape, those that operate using a software-driven model will be the most successful. These businesses recognize the power of transforming enormous volumes of data generated by digital operations into real-time insights that propel further success. The ability to do this in real-time, all the time, across multiple functional disciplines, lies at the heart of continuous intelligence.
Kubernetes is an extremely intelligent technology, but without the right direction it can respond in unwanted or unexpected ways. As is true with most “smart” technologies, it is only as smart as the operator. In order to set teams up for peak success with Kubernetes, it is vital they have a pulse on their Kubernetes clusters. Here are 5 ways that engineers can best identify any loose ends when setting up a Kubernetes cluster and ensure the healthiest workloads possible.
With containers and Kubernetes now commanding a greater footprint, companies need new tools to manage and operate these dynamic workloads. Site Reliability Engineers (SREs) and Platform Engineers need to be able to successfully operate the Kubernetes orchestration layer. Developers must understand the impact of that layer on their microservices, and their Security Analysts need to have the visibility to secure the Kubernetes environment from external hackers. All parties need a way to ingest, observe, alert on, and understand the data streams exposed through Kubernetes.
Kubernetes is the platform of choice for implementing containerized microservices and accelerating cloud migration. However, it also introduces significant complexity and new security and operational risks. Sumo Logic’s Kubernetes solution provides the visibility your team needs to confidently and securely implement Kubernetes anywhere -- on AWS, Azure, GCP, and on-premise.