Source: thenewstack.io
Use Monitoring Insights to Optimize CostCategory: Database, Data, Kubernetes, Infrastructure, Architecture, containerization, automation
http://cloudify.co One of the side effects of the “gold rush” to the public cloud is that many organizations are now facing rapidly growing cloud costs, including large and sudden spikes. About 55% of respondents to https://www.datanami.com/2021/06/09/cloud-costs-exploding-anodot-survey-finds/say they have been “surprised” by cloud costs or had an incident where cloud costs suddenly spiked.
Many hyperscale companies have surpassed the point at which 50% of their total COGS are allocated to cloud spend, making cloud infrastructure cost optimization a strategic imperative as I noted in my previous post, https://thenewstack.io/reducing-cloud-spend-need-not-be-a-paradox/. In this post, I’ll compare two methods for controlling our cloud cost: cost monitoring vs cost efficiency.
As we expected, the development environment cost was equal to the cost of a single VM and was 10x slower than the plain vanilla production stack.
Many hyperscale companies have surpassed the point at which 50% of their total COGS are allocated to cloud spend, making cloud infrastructure cost optimization a strategic imperative as I noted in my previous post, https://thenewstack.io/reducing-cloud-spend-need-not-be-a-paradox/. In this post, I’ll compare two methods for controlling our cloud cost: cost monitoring vs cost efficiency.
As we expected, the development environment cost was equal to the cost of a single VM and was 10x slower than the plain vanilla production stack.
Related Articles
Community Partners
DevOps Careers