In today's blog post, I talk about how you can use SimKube to do cost analysis and forecasting, something I've said is possible for a while, but I've never actually shown how to do it. I also show a brief teaser of how you can integrate KubeCost and SimKube together! (hopefully more on the latter subject in the future)

https://blog.appliedcomputing.io/p/howto-use-simkube-for-cost-forecasting

#kubernetes #k8s #kubecost #cost

HOWTO: Use SimKube for Cost Forecasting

Recently, I’ve had a number of folks ask for some more details about how SimKube can be used to predict or forecast your Kubernetes expenditures, and I realized that I’ve said you can do this several times, but I’ve never actually gone through the details!

Applied Computing Research Labs
IBM Acquires Kubecost to Broaden Hybrid Cloud Cost Management Capabilities

IBM is announcing the acquisition of Kubecost, a leading Kubernetes cost monitoring and optimization software company.

IBM Newsroom
Announcing Kubecost’s Acquisition by IBM!

We are excited to share that we are now part of the IBM family, joining Apptio and Turbonomic to build the leading platform for informing, optimizing and operating cloud investments

Kubecost Blog

🆕 #Kubecost 2.0 is here!

This major upgrade brings many new features to help organizations better monitor, manage, and optimize their Kubernetes-related cloud expenses.

For more details, read #InfoQ: https://bit.ly/4ayWUeF

#DevOps #Kubernetes #CloudComputing

Kubecost Launches Version 2.0 with Network Monitoring

Kubecost, a Kubernetes cost monitoring and management solution, recently announced the launch of Kubecost 2.0, a major upgrade that brings many new features to help organizations better monitor, manag

InfoQ

The #kubecost #helm chart is just insane :/

How is this even maintainable?!

#k8s #badpractice

Kubecost is a company that stands for the inclusion of all. We observe the newly recognized holiday, Juneteenth. Juneteenth is a significant milestone commemorating the emancipation of enslaved blacks' on June 19, 1865.

While you are observing the holiday, reflect on the importance of Juneteenth and the impact it may have played on your life. Cheers to freedom!

#HappyJuneteenth #kubecost

📢OpenObservability Talks episode is out!
FinOps Observability: Monitoring Kubernetes Cost with OpenCost, hosting @mattray
🎧 Spotify https://lnkd.in/dwRhitgf
🎧 Apple https://lnkd.in/djdPdz2k
🎧 Other https://lnkd.in/dC-DREHN
📺 YouTube https://lnkd.in/dd-QqsCT
#DevOps #opensource #finops #observability #Kubecost #podcast #kubernetes #cloudnative #cloud
FinOps Observability: Monitoring Kubernetes Cost with OpenCost - OpenObservability Talks S3E09

Listen to this episode from OpenObservability Talks on Spotify. Many organizations struggle in understanding and monitoring the costs of their Kubernetes workloads, cloud infrastructure and cloud native applications. Moreover, different cloud providers use different conventions, which makes it difficult to compare across vendors and to monitor cost in multi-cloud environments. The lack of cost observability and vendor-agnostic FinOps standardization can become a critical business challenge.   OpenCost is a vendor-neutral open source project for measuring and allocating infrastructure and container costs. It’s built for Kubernetes cost monitoring to power real-time cost monitoring, showback, and chargeback, across on-premises Kubernetes as well as cloud managed offering.   I discussed this topic with Matt Ray, Senior Community Manager for the OpenCost project. Matt  has been active in Open Source and DevOps communities for over two decades and has spoken at and helped organize many conferences and meetups. He is currently the Senior Community Manager at Kubecost for the CNCF Sandbox Project OpenCost. Matt also co-hosts the Software Defined Talk podcast. The episode was live-streamed on 14 February 2023 and the video is available at https://www.youtube.com/watch?v=mhqXQV2jsxo OpenObservability Talks episodes are released monthly, on the last Thursday of each month and are available for listening on your favorite podcast app and on YouTube. We live-stream the episodes on Twitch and YouTube Live - tune in to see us live, and chime in with your comments and questions on the live chat. https://www.twitch.tv/openobservability https://www.youtube.com/@openobservabilitytalks Have you got an interesting topic you'd like to share in an episode? Reach out to us and submit your proposal at https://openobservability.io/ Show Notes: FinOps and the FinOps Foundation Relevant stakeholders Understanding your public cloud bill How is Kubernetes spend different OpenCost project overview OpenCost roadmap and ecosystem How to join OpenCost convo News and updates Resources: https://www.cncf.io/blog/2022/12/06/opencost-a-new-cncf-sandbox-project-for-real-time-kubernetes-cost-monitoring/  https://www.opencost.io/ https://github.com/opencost/opencost  https://logz.io/blog/finops-distributed-tracing/ Socials: Twitter: https://twitter.com/OpenObserv Twitch: https://www.twitch.tv/openobservability YouTube: https://www.youtube.com/@openobservabilitytalks Website: https://openobservability.io/ Dotan Horovits ============ Twitter: horovits LinkedIn: https://www.linkedin.com/in/horovits/ Mastodon: @horovits@fosstodon Matt Ray =============== Twitter: mattray LinkedIn: https://www.linkedin.com/in/mhray/ Mastodon: @[email protected]

Spotify
@lili We use #kubecost for calculating how much running pods on #kubernetes cost to run and we have internal bi tools for how much our #azure or #aws instances cost to run. From there it's usually a basic spreadsheet of cpu/memory or a back of napkin math based on the estimates of what we think we'll need. Many times it isn't very accurate but it's better than nothing. It also gets people to think about it rather than just assuming it's free. :)
Kubecost vs. CAST AI: A Perfect Match for End-to-End Cloud Cost Optimization | HackerNoon

A detailed comparison of cost optimization features from two modern cloud-native solutions, Kubecost vs. CAST AI for optimizing cloud costs.

Kubecost vs. CAST AI: A Perfect Match for End-to-End Cloud Cost Optimization | HackerNoon

A detailed comparison of cost optimization features from two modern cloud-native solutions, Kubecost vs. CAST AI for optimizing cloud costs.