Operations | Monitoring | ITSM | DevOps | Cloud

Kubernetes Optimization: Focus on the Highest Impact Actions

The ’80-20’ Rule Applied to Kubernetes Optimization. Watch this 20-min session to hear Densify’s experts discuss strategies for optimizing Kubernetes environments while minimizing the required work. During this session Densify will present an analysis of a large scale Kubernetes environment showing how 80% of optimization savings can be achieved by focusing on 20% of the container deployments.

Densify Named a Market Leader in GigaOm Radar Report for Cloud Resource Optimization

June 27, 2023 We were excited to learn last week that GigaOm named Densify as both a Leader and an “Outperformer” in its new report “Radar for Cloud Resource Optimization”. This was particularly meaningful to us for a few reasons.

Container Optimization Techniques that Cloud Providers Hate!

Watch this 20-min session to get an in-depth look at factors that must be considered when optimizing containers, and effective ways to optimize container density to make sure that they don’t get throttled or killed, while at the same time making sure that being safe doesn’t run up a huge cloud bill. We cover 3 critical factors that are key when optimizing.

Optimizing Your K8s Nodes Using FinOps Tools? Try This Instead...

June 7, 2023 It’s no secret that Kubernetes is one of the fastest-growing technologies in use today for deploying and operating applications of all types in the cloud. It’s also no secret that Kubernetes’ popularity is a significant contributor to fast-growing cloud bills. FinOps teams are constantly looking for ways to lower their cloud spend, in cooperation with the DevOps, Engineering and App owner teams that control this infrastructure.

Intel Optimization Hub

Cloud Service Providers (CSPs) offer an ever-expanding array of instance types, ensuring that for any given workload there exists the perfect hosting option that matches the exact needs of that app or business service. But with this expansion comes an ever-increasing challenge to match the workloads to the offerings – there are many things to consider.