Operations | Monitoring | ITSM | DevOps | Cloud

Reduce node counts to drive down infrastructure costs (on-prem and in the cloud). Get an overview of common issues that drive excess cost and understanding the 3 core strategies for tackling them. Done right, you can reduce node counts, which in turn impacts infrastructure cost and potentially reduces expensive software licenses such as OpenShift. In this 20-min session we cover the 3 core strategies.

Aliaksandr Valialkin, #VictoriaMetrics CTO present "Strategies for Efficient hashtag#LogManagement in Large-Scale hashtag#Kubernetes Clusters" at hashtag#FrOSCon. Large #Kubernetes clusters can generate significant volumes of logs, especially when housing thousands of running pods. This may demand substantial CPU, RAM, disk IO, and disk space for storing and querying large log volumes. In this talk, we will look into different strategies of storing those logs in #ElasticSearch, Grafana Loki and #VictoriaLogs and examine how we can save 10x or more on infrastructure costs.

Data lake is a very large scale data processing paradigm that disrupts the conventional data warehousing model. Data lakes can offer greater flexibility whilst retaining the benefits and efficiency of centralised data governance. With Canonical OpenStack private cloud platform, Kubernetes and Charmed Spark solutions, your data lake architecture can also benefit from extended flexibility and scalability whilst remaining cost effective to operate.