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Densify

FinOps Tools: Supercharge Your Investment with Optimization

Cost analysis and allocation tools like CloudHealth, CloudCheckr, and Cloudability play an important role in many organizations’ FinOps journeys by assisting with keeping Finance informed, enabling forecasting, and driving accountability. These tools may also help provide visibility and direction around long-term purchases like Savings Plans and RIs. But, slicing and dicing your cloud costs is only the tip of the FinOps iceberg: 85%+ of your cloud savings potential lies beyond refining how you buy cloud services. You also need to optimize what you’re actually purchasing.

Forecasting Kubernetes Costs

The benefits of containerizing workloads are numerous and proven. But, during infrastructure transformations, organizations are experiencing common, consistent challenges that interfere with accurately forecasting the costs for hosting workloads in Kubernetes. Planning the proper reservations for CPU and memory before migrating to containers is a persistent issue Densify observes across our customers.

Bulletproofing Your Kubernetes Build

Most containers, pods, and namespaces in Kubernetes and OpenShift have been deployed with incorrect CPU and memory resource specifications. It isn’t just suboptimal DevOps—it’s dangerous from a service delivery perspective. Watch and see how managing capacity operationally prevents pods from swallowing unused capacity, frees nodes, and keeps the OOM killer away. This bulletproof strategy for maximizing utilization continuously integrates the optimal resources into the source code controlling your nodes and clusters.

FinOps Tools: Supercharge Your Investment with Optimization

Cost analysis and allocation tools like CloudHealth, CloudCheckr, and Cloudability play an important role in many organizations’ FinOps journeys by assisting with keeping Finance informed, enabling forecasting, and driving accountability. These tools may also help provide visibility and direction around long-term purchases like Savings Plans and RIs. But, slicing and dicing your cloud costs is only the tip of the FinOps iceberg: 85%+ of your cloud savings potential lies beyond refining how you buy cloud services. You also need to optimize what you’re actually purchasing.

Maximizing Your Reserved Instances (RIs) in AWS, Azure, and Google Cloud The Definitive Guide

Public cloud providers have introduced reserved capacity commitments as a way to take control of your cloud costs. These are branded RIs in AWS, Azure calls them Reserved VM Instances, and Google Cloud has a similar concept of Committed Use Discounts. With the hundreds of different instance types available and not knowing your workload's exact requirements, how can you possibly take advantage of the benefits of RIs?

CapOps: Capacity Operations

Download this whitepaper to understand the rise of capacity operations (CapOps), an online, operational discipline with the mandate of "continuous resource optimization." By refocusing on the new, more dynamic capabilities of cloud and container infrastructure, CapOps enables organizations to once again ensure that there are sufficient resources to meet the demands of applications (without allocating too much), filling a gap left by the evolution of DevOps and FinOps practices.

How to Optimize Your Cloud in the Era of Infrastructure as Code Complimentary Whitepaper

Infrastructure as code (IaC) is a method to provision and manage IT infrastructure through the use of source code, rather than through standard operating procedures and manual processes. Tools like HashiCorp Terraform, AWS CloudFormation, or Ansible help you automate the infrastructure deployment process in a repeatable and consistent manner, driving speed, simplicity, and efficiency.