What is the problem & how are we solving it?
With all the benefits of Kubernetes, there are also challenges. While Kubernetes allows teams to quickly deploy and scale applications, it presents a challenge for IT departments in understanding the costs of their workloads.
For software developers who want to reduce overspending on Kubernetes environments, native cloud providers by default does not provide visibility into cost incurred by running Kubernetes clusters. The main issue with Kubernetes cost allocation is a lack of visibility into how Kubernetes cluster resource usage relates to the cost of the underlying cloud infrastructure.
To be precise, software developers are not able to visualize the infrastructure costs in the context of native Kubernetes concepts such as deployment, namespace, labels, etc. Due to this lack of visibility- Cost Visualization and Monitoring around Kubernetes become a challenge.
OpsLyft’s Kubernetes cost visibility and monitoring solution will enable software developers to save time & effort in analyzing Kubernetes environments to find-
- The running applications on Kubernetes environments that are not providing any real business value- These kind of applications impact up to 20% of the total overspending in Kubernetes environments. These abandoned workloads are oftentimes caused by a lack of awareness of organizational changes. Common examples are Deprecated deployments, Outdated deployment configurations, Dev environments on nights & weekends.
- The externally provisioned cloud resources in the Kubernetes environments- Such resources are without an owner and are not being used. These are often caused during application teardowns or by the oversight of the software developers. Orphan resources you may most commonly see are Elastic IPs, load balancers, persistent volumes and Databases causing at least 10% of the total overspending in Kubernetes environments.
- Rogue deployments – Misconfigured deployments (e.g. 100s or replicas instead of 10s), Application bugs combined with improperly configured autoscaling, Malware (e.g. crypto-mining malware) usually behave in unexpected ways and may increase your Kubernetes bill by 20%.
- The incorrect selection between on-demand, reserved, and spot instances- The difficulty level to ensure perfect selection at all times is hard as it involves predicting the future usage of resources to a large extent and end up accounting for 70% of the overspending in Kubernetes environments.
- Overprovisioned resources that lead up to additional charges- In order to avoid the risk of downtimes, people allocate excess computes capacity far in excess of application needs. Most teams run at 60 – 80% idle capacity, when they typically need half of this amount.
As multiple teams and services use the same underlying infrastructure in this shared resources model, detailed visualization into resource allocation by Kubernetes will help- The IT managers and Finance departments to accurately allocate Kubernetes costs to different services, teams, departments, and applications.
What is the feature, how does it work?
What is the mechanism behind it? In a nutshell, we combine container utilization data, AWS/GCP cost data, and information about your business context to intelligently allocate expenses among your Kubernetes clusters using our own proprietary algorithms. There are no manual rules to follow or efforts to make.
The product is an analytics dashboard that can be used by software developers to do the following –
- View costs across multiple Kubernetes clusters in a single view.
- Breakdown costs by namespace, deployment, service, labels, pods, and containers across any major cloud provider or on-prem Kubernetes environment.
- View unified spend by joining real-time costs from the Kubernetes cluster (CPU, memory, storage, network, etc.) with outside costs e.g. tagged RDS, BigQuery warehouses, or S3 buckets.
- Associate the cost of dedicated cloud provider services back to components in a cluster (like namespace or deployment)
With its core features, this solution by OpsLyft gives organizations complete visibility into Kubernetes spend. Its Kubernetes cost visibility & monitoring will enable every software team to do Kubernetes-based deployments at large scales without worrying about cloud costs. It will help software developers to reduce Kubernetes spending without compromising on any kind of reliability and performance of the applications.
- Allows you to break down allocated costs across all native Kubernetes concepts, allowing you to offer transparent, precise cost data to your teams that is reconciled with your actual cloud bill.
- Development, operations, and security/governance teams can use dedicated dashboards to visualize and monitor modern apps and the underlying Kubernetes infrastructure.
- Automatically generates cost-saving recommendations you can use to save 30-50% or more on infrastructure spending.
We enable your DevOps and SRE teams to understand their costs in every Kubernetes cluster, providing them with the ability to optimize infrastructure and control costs.
Let’s track and save on billions of dollars of spending. Schedule a demo today!