optimization with Flexsave
optimization with Flexsave
Resources
Tying Kubernetes costs back to the business with EKS Lens
As more companies undergo digital transformation and move more of their online offerings to cloud infrastructure, the
Using Web Components to enable faster Google Maps Platform application development
Exploring the capabilities and the advantages of the new Google Maps Web Components for faster maps development.
Spot instances decoded: Optimizing utilization and savings with Auto Scaling groups and Spot Scaling
We explore optimizing Spot instance utilization through Auto Scaling groups (ASGs), including strategies for different scenarios, while
Spot instances decoded: Understanding, implementing, and saving
You can save up to 90% on compute costs with Spot instances. We cover what Spot instances
Three Key Takeaways from AWS re:Invent 2023
With another AWS re:Invent in the books, it’s time to take stock about what we learned during
On the money: Making DoiT Anomaly Detection more precise and personalized
With SKU-level anomaly detection and targeted anomaly alerting, you can drive a culture of responsible cloud spending
Seven not-so-obvious cloud bill red flags (and what you should do about it)
We share 7 subtle red flags in your cloud bill that may be reflective of an anti-pattern
Three steps to establishing a cloud cost optimization culture in your company
The three foundational elements needed to build a cost optimization culture in your company — and a
How to use GKE cost allocation data for detailed insight into cloud spend
Learn about GKE cost allocation and how to use its data with cost allocation features in DoiT’s
Kubernetes custom metric autoscaling: almost great
Custom metrics tend to be more accurate and useful than CPU- and RAM-based autoscaling, but scaling based
Tying Kubernetes costs back to the business with EKS Lens
As more companies undergo digital transformation and move more of their online offerings to cloud infrastructure, the size, scope,
Using Web Components to enable faster Google Maps Platform application development
Exploring the capabilities and the advantages of the new Google Maps Web Components for faster maps development.
Spot instances decoded: Optimizing utilization and savings with Auto Scaling groups and Spot Scaling
We explore optimizing Spot instance utilization through Auto Scaling groups (ASGs), including strategies for different scenarios, while also covering maximizing savings with DoiT Spot Scaling.
Spot instances decoded: Understanding, implementing, and saving
You can save up to 90% on compute costs with Spot instances. We cover what Spot instances are, why you should use them, and when you should use them.
Three Key Takeaways from AWS re:Invent 2023
With another AWS re:Invent in the books, it’s time to take stock about what we learned during the four
On the money: Making DoiT Anomaly Detection more precise and personalized
With SKU-level anomaly detection and targeted anomaly alerting, you can drive a culture of responsible cloud spending while reducing the mean-time to resolve cost spike issues.
Seven not-so-obvious cloud bill red flags (and what you should do about it)
We share 7 subtle red flags in your cloud bill that may be reflective of an anti-pattern or overspending, and what you should do instead.
Three steps to establishing a cloud cost optimization culture in your company
The three foundational elements needed to build a cost optimization culture in your company — and a step by step guide to building one with DoiT’s products.
How to use GKE cost allocation data for detailed insight into cloud spend
Learn about GKE cost allocation and how to use its data with cost allocation features in DoiT’s product portfolio to get a granular view of your GKE spend.
Kubernetes custom metric autoscaling: almost great
Custom metrics tend to be more accurate and useful than CPU- and RAM-based autoscaling, but scaling based on custom and external metrics is still a bit of an untamed frontier that could use improvement.
Tying Kubernetes costs back to the business with EKS Lens
As more companies undergo digital transformation and move more of their online offerings to cloud infrastructure, the size, scope,
Using Web Components to enable faster Google Maps Platform application development
Exploring the capabilities and the advantages of the new Google Maps Web Components for faster maps development.
Spot instances decoded: Optimizing utilization and savings with Auto Scaling groups and Spot Scaling
We explore optimizing Spot instance utilization through Auto Scaling groups (ASGs), including strategies for different scenarios, while also covering maximizing savings with DoiT Spot Scaling.
Spot instances decoded: Understanding, implementing, and saving
You can save up to 90% on compute costs with Spot instances. We cover what Spot instances are, why you should use them, and when you should use them.
Three Key Takeaways from AWS re:Invent 2023
With another AWS re:Invent in the books, it’s time to take stock about what we learned during the four
On the money: Making DoiT Anomaly Detection more precise and personalized
With SKU-level anomaly detection and targeted anomaly alerting, you can drive a culture of responsible cloud spending while reducing the mean-time to resolve cost spike issues.
Seven not-so-obvious cloud bill red flags (and what you should do about it)
We share 7 subtle red flags in your cloud bill that may be reflective of an anti-pattern or overspending, and what you should do instead.
Three steps to establishing a cloud cost optimization culture in your company
The three foundational elements needed to build a cost optimization culture in your company — and a step by step guide to building one with DoiT’s products.
How to use GKE cost allocation data for detailed insight into cloud spend
Learn about GKE cost allocation and how to use its data with cost allocation features in DoiT’s product portfolio to get a granular view of your GKE spend.
Kubernetes custom metric autoscaling: almost great
Custom metrics tend to be more accurate and useful than CPU- and RAM-based autoscaling, but scaling based on custom and external metrics is still a bit of an untamed frontier that could use improvement.