nOps Business Contexts is replacing Cloud Resource Cost as your tool to continuously access and allocate 100% of your AWS cost in real time.

Cloud Resource Cost is currently found under Dashboard -> Cost -> Coud Resource Cost. Business Contexts is currently found under Dashboard -> Business Contexts.

What are the benefits of nOps Business Contexts?

• Massively scaleable and faster analysis for customers of all sizes. Now leveraging Apache Druid’s lightning processing and distributed architecture, the platform brings you real-time actionable insights in unprecedented detail.
• New hourly resolution of spend data for detailed analysis. Business Contexts ports all the best-loved features from Cloud Resource Cost, now with new hourly resolution.
• Deep integration with our Cost Allocation feature (showbacks, chargebacks, and tagging).  nOps is now a single repository, data-centralized platform, granting you the ability to break down your daily spend by engineering service, day by day and hour over hour, across your entire AWS organization.

• Powerful reporting to track expenses and share with stakeholders. Don’t settle for complex and static dashboards. Business Contexts provides up-to-the-moment, intuitive reports to visualize your cloud infrastructure and costs.

Cloud Resource Cost will be sunset on Monday, October 9, 2023.

Economic uncertainty is increasing the pressure to reduce cloud spend, and companies are looking for ways to optimize their resource management. As the industry shifts towards Kubernetes, EKS is one of the biggest expenses — and thus a low-hanging fruit for optimization.

Kubernetes configurations are often set once and not reassessed for months or until there is a problem, leading to waste and inefficiency. As a result, Engineering and DevOps leaders are increasingly turning to solutions that can automate decisions in real time, such as Vertical Pod autoscaler and AWS Karpenter. Karpenter is an open source solution that frees users from node groups and autoscaling constraints, allowing resources to be provisioned according to actual usage.  

The problem is that Karpenter is often tuned as a one-and-done exercise. However, your ecosystem is dynamic — and so is market pricing. 

That’s where nKS (nOps Karpenter Solution) comes in, automatically and constantly tuning your configuration for the best price and availability. It is the first, easy-to-use UI for Karpenter.

As a result, engineering teams can take advantage of Karpenter’s more effective and granular scaling functionalities with a fraction of the effort. nKS constantly ensures you are scheduled on the most cost-optimized and stable option — automatically updating your provisioning on the fly if not. Customers are saving 50% or more on EKS costs with nKS.

nKS now supports multiple provisioner configurations, in the latest update for even more flexibility and ease of use. In response to customer demand, this release offers:

More control over the environment. nKS can accommodate a wide variety of use cases —supporting existing constraints or the demands of complex, multi-cloud architectures.

(Manage and configure your provisioners directly from nOps).

Increased time savings. nKS makes it pain-free to import your current configurations, migrate to modern Karpenter, and put your node provisioning on autopilot.

Here’s more on why engineering teams are delegating their cloud provisioning to nKS. The tool:

• Automatically schedules EKS resources to available Reserved Instances, Savings Plans, and Spot
• Monitors pricing and your entire AWS ecosystem continually, ensuring maximum savings and availability
• Predicts Spot terminations 60 minutes in advance using ML

The best part? With nKS, you don’t spend — you only save. We are the first cloud management platform that charges based on a fraction of the customer’s savings.

Join our customers already using nKS to slash cloud costs and run Spot with complete confidence by booking a demo today!

One of the most prominent challenges our customers encounter revolves around understanding and managing their cloud expenses. This issue stems from inadequate visibility and intricate cost attribution, resulting in user confusion. While the cloud provides scalability and flexibility, it also presents new challenges, including limited resource visibility  into resource usage.

In a world where workloads constantly scale up and down, and cloud billing occurs hourly in units of milliseconds, effectively analyzing, forecasting, and optimizing your cloud environment based on daily spend is nearly impossible.

To address these challenges, we are thrilled to announce the launch of our new feature – “Hourly Granularity,” into cloud cost analysis of AWS data. This feature provides cloud users with access to hourly usage graphically, offering enhanced cost visibility, cost allocation, and predictive analysis.

The Hourly Granularity is set to revolutionize cloud visibility, offering businesses enriched monitoring capabilities, real-time insights, and resource optimization. An exceptional aspect of nOps' Hourly Granularity is its capacity to monitor costs on an hourly basis within a 30-day timeframe, contrasting with the traditional 14-day period on AWS. This expanded scope offers a richer and more comprehensive comprehension of your expenses, greatly improving your ability to monitor costs astutely and strategize effectively.

Moreover, nOps' "Cost Allocation" feature empowers users to establish filters that significantly enhance the efficiency of tracking various categories, far surpassing the manual approach. For instance, with specified filters, you can skillfully analyze the distinct services contributing to expenditures. Furthermore, the integration of "Cloud Cost Analysis" allows you to interactively view real-time costs directly on the nOps dashboard, delivering unparalleled insights.

To efficiently monitor costs on an hourly basis and allocate your cloud costs across suitable business units in nOps, see nOps Business Contexts

In addition, addressing underutilization stands as a paramount challenge at nOps. Given AWS' billing model, commitments are allocated in hourly segments, rendering a daily cost overview insufficient for grasping the dynamic commitment patterns that shift by the hour. By adopting an hourly resolution, users gain a magnified perspective into their resources, allowing for a more insightful analysis.

The visual depicts the "Daily View" of resource utilization spanning a two-day timeframe. The graph portrays a notably steady and elevated usage level, implying the feasibility of opting for a higher usage limit. However, it's essential to note that this portrayal does not precisely mirror the genuine usage pattern.

Whereas this visual depiction illustrates the hourly distribution of resource usage over the same two-day timeframe. The graphical representation vividly underscores the irregular patterns characterizing the usage trend. Opting for the elevated usage threshold recommended by the daily overview may lead to incurring avoidable cloud expenses during intervals of notably diminished usage that falls below the prescribed limit.

With an hourly perspective, gaining a comprehensive grasp of your overall EC2 usage and its hourly fluctuations becomes notably simpler. Consider this scenario: under the daily view, if a user commits to covering usage costs at a $2.75 per hour rate and later observes a decrease to $1.50 per hour, they remain bound by the higher rate, even during periods of lower usage. In contrast, the hourly view offers a finer understanding of resource consumption, leading to informed decisions and substantial savings.

The Hourly granularity serves as a foundation for data-driven decision-making, fostering enhancements in both performance and cost-effectiveness. This method ensures that each choice is rooted in a comprehensive understanding of the organization's financial well-being.
It empowers organizations with the precision to forecast expenditures, enabling seamless adoption of FinOps, curbing cloud waste, and fostering alignment between procurement and engineering teams.

It also functions as a robust troubleshooting tool for engineers, granting them the ability to delve into service usage, performance, cost allocation, and hourly-based cost concerns. It facilitates the identification of hourly resource usage cycles, thereby assisting in well-informed determinations about when to activate or pause resources based on usage patterns.

To read to know about how it works, click here. Try nOps Business Contexts today! 

For more information, visit the website

This week, nOps launched a new feature nSwtich Tag-Based Scheduling. Schedule-by-Tag empowers users to take full control of their cloud costs by aligning resource usage with demand.
This innovative feature allows you to schedule resources by adding a tag, empowering your developers to manage resource tags effortlessly using any Infrastructure-as-Code solution.

To access Tag-Based Scheduler in nOps and automatically pause resources during off-hours, explore nSwtich.

How Does It Work?

Tag-Based Scheduling leverages the power of AWS EventBridge to automatically pause instances such as EC2 instances, AutoScaling groups, RDS instances, RDS clusters, EKS node groups, or EKS clusters when they are not in use. 

With Schedule-by-Tag, managing your AWS resources becomes simplified. You can create schedules without initially attaching resources, making it a seamless process. The key lies in copying the tag value generated by our service and adding it to the desired resources using either the AWS console or popular Infrastructure-as-Code frameworks like Terraform.

nOps continuously monitors the tags assigned to your resources and automatically adds them to the Scheduler as soon as it detects them, ensuring optimal cost savings and resource utilization.

Take control of your costs by aligning resource usage with demand. Users can set up templates to automatically add dev, QA, or staging resources to a pre-defined schedule and ensure that they’re only being charged for resources when your global teams need to use them.

To learn more about nOps nSwtich Tag Based Scheduling and how it can help you optimize your cloud costs, you can explore Automatically Reduce Dev and QA Costs by Creating Tags Based Schedules. 


You can read more about nOps and its cloud cost management solutions at nOps.io. 

This week, nOps has launched an advanced Cost Analysis feature that offers flexible filters and a comprehensive view of your resource spending. With this feature, you can now gain greater visibility into the true cost of resources, including commitments like RI and Savings Plan, and analyze how your commitment impacts or contributes to your actual resource cost.

There are three cost types to choose from - Unblended, Blended, and Amortized - allowing users to switch between them effortlessly to enhance visibility. This means users can easily compare and contrast different cost types to get a better understanding of their cloud spend.

View your amotorized spending by resources so that you can see the true cost of resources including commitments like RI and Savings Plan. 

Amortized view provides a clear and accurate view of the true cost of a resource by factoring in reservations and savings plans. With this view, you can easily track your resource spending on a daily basis and gain insights into how your commitments impact your actual resource cost.

To efficiently allocate your cloud costs across suitable business units and business outcomes in nOps, see nOps Business Contexts

One of the key advancements of this feature is the elimination of limitations on the number of resources, making it possible to monitor all your resources without any restrictions. With nOps' Enhanced Cost Analysis, you can easily track your AWS spending, optimize your resource usage, and achieve greater cost savings.

Cloud spend analysis feature provides users with unparalleled control and customization options. With this feature, users can now easily include, exclude or match their cloud spend based on filter dimensions, such as support, marketplace, or RI fees, and gain a comprehensive view of their cloud costs. You can dive deeper into their spend data by leveraging various dimension filters and visualizing cost distribution across Daily, Weekly, Monthly, and Quarterly data resolutions. And, as a bonus, nOps will soon be adding Hourly data resolution

The nOps' Cost Allocation Showback Values feature, you can easily track your AWS expenses over time in the context of your business. With the ability to match, include, exclude, and use fuzzy or pattern matching, you can create custom filters that fit your specific needs.

Filter out costs such as Support and RI fees to gain a clearer picture of your expenses. Save and share customized reports with ease using any combination of filters and cost allocation showbacks.

Experience the convenience and flexibility of nOps' Cost Allocation Showback Values and streamline your AWS expense tracking today To learn more about nOps Cost Analysis cost visibility recommendations, Try nOps Business Contexts today! 

For more information, visit the website 

This week nOps launched a new feature that helps our users save time and effort while optimizing their cost savings and maximizing efficiency. With our new dynamic cost integration and metadata, you can now instantly see the savings opportunities while building or preparing your Resource nSwitch. 
With our dynamic cost integration and metadata, you can easily identify potential savings for each resource, regardless of location. This saves you time and effort while also providing you with valuable insights that help you optimize your cost savings and maximize efficiency.

nOps has developed this innovative feature that empowers you to identify savings opportunities in real-time while scheduling your resources. With our dynamic cost integration and metadata, you can instantly see the potential savings for each resource and make informed decisions that help you cut costs and maximize efficiency.

To see your own Dynamic Projection of Cost Savings in nOps, see Schedule Grid

The innovative feature has been developed by nOps to empower users to identify savings opportunities in real time while scheduling their resources. With the dynamic cost integration and metadata, users can instantly see the potential savings for each resource and make informed decisions that help them optimize their cost savings and maximize efficiency.

nOps nSwitch Dynamic Cost integration works by computing potential savings based on the "shutdown/stopped hours" selected in the nOps Schedule Grid. This ensures that you have accurate and up-to-date savings insights that reflect the current state of your resources.

To see your own Dynamic Projection of Cost Savings in nOps, simply check out the Schedule Grid. This new feature calculates the Resource nSwitch savings while you’re interacting with the Schedule Grid and the resources that are being added or removed from the nSwitch that is being created. This allows you to instantly understand the impact that your nSwitch schedule will have on your AWS bill!

The process works by averaging the costs for the last 30 days based on billing ingestion, using the unblended cost for each resource, and averaging it to hourly granularity. This allows for precise calculation of potential savings for each resource.

In addition to the instant savings insights, nSwitch also provides you with detailed reports and analytics that help you track your cost savings over time.  This feature provides advanced analytics that help you to identify potential savings opportunities. With this tool, you can see how much you are spending on your spot instances and even project potential savings based on different usage scenarios. 

If you're ready to start saving on your AWS EC2 spot instances, visit our website and sign up for ShareSave nOps nSwtich today.

This week, we are excited to announce our new "RI Utilization" feature at nOps. This feature is designed to provide our clients with a historic utilization view of their Reserved Instances (RI) by collecting their monthly RI usage data and storing it in a database. It enables AWS users to track, manage, and optimize their RI usage, ensuring that they are making the most of their investment. Collecting monthly RI usage data and storing it in a centralized database makes it easier than ever for clients to track and analyze their RI utilization

With this new feature, users can effortlessly access their RI utilization data and gain valuable insights into how effectively they're using their RIs. This enables customers to identify underutilized RIs and take action to reduce waste, such as modifying or selling unused RIs. Armed with this information, they can make informed decisions and take action to optimize their RI utilization, ultimately leading to cost savings and increased efficiency. By leveraging this powerful feature, AWS users can significantly reduce their cloud infrastructure costs while still maintaining the performance and availability of their workloads.

To manage your own RI Utilization recommendations in nOps, see Commitment Management Solutions

At nOps, our top priority is to ensure that our clients have access to the most effective tools and features available to manage their AWS infrastructure. With this goal in mind, we are proud to introduce the RI Utilization feature as an essential addition to our platform. This feature empowers our clients to maximize their AWS investment by optimizing Reserved Instance (RI) utilization and reducing unnecessary expenses. 

We strongly believe that this feature will enable our clients to achieve their cost optimization objectives more efficiently, providing them with greater financial flexibility and business agility. At nOps, we are committed to continuing to develop innovative solutions that meet the evolving needs of our clients and help them succeed in the cloud.

To learn more about nOps Reserved Instances Utilization, see website.

This week nOps launched an efficient way how you can schedule your idle EKS clusters idle time with nSwitch
If you're looking for a simple yet effective way to optimize your cloud infrastructure costs, nSwitch's workload-based scheduling feature could be just what you need. And now, nOps nSwitch has taken this functionality to the next level by introducing support for scheduling EKS cluster node groups to be scaled down during off-hours. This means you can now easily schedule your EKS cluster node groups to be powered down during non-essential hours, reducing your cloud infrastructure costs and optimizing your resources. By eliminating the need for manual scaling

nOps has made significant updates to its EKS cluster management tools, including new workload-based recommendations and the ability to create schedules for powering down idle clusters during off-peak hours.

To see your own EKS Cluster Scheduler recommendations in nOps, see Scheduler Recommendations

These new features are part of nOps ongoing efforts to help customers optimize their cloud infrastructure and reduce costs. By incorporating workload-based recommendations, nOps aims to simplify the process of optimizing EKS clusters by providing tailored recommendations based on real-time usage data.

Additionally, the ability to create schedules for powering down idle clusters during non-essential hours is a game-changer for companies looking to save on cloud infrastructure costs without sacrificing performance. Let's take a closer look at these new features and what they mean for EKS cluster management.

nSwitch's EKS schedules are perfect for a variety of workloads, including Dev and QA infrastructure, batch processing, and time-zone-specific workloads. By leveraging nSwitch's EKS schedules, you can maximize the efficiency and cost-effectiveness of your EKS clusters, without sacrificing performance or reliability. With customers reporting savings of up to 70% on EC2, RDS, and EKS spend, nSwitch has proven to be an effective cost-optimization tool

To learn more about nOps nSwtich EKS Cluster savings recommendations, see website.

Starting this week, nOps launched Business Contexts. With the improved cost allocation tool you can allocate every single dollar of AWS spend by handling untagged and miss-tagged resources.

Business Contexts gives users the unparalleled ability to access and allocate every dollar of their cloud spend in real-time. It continuously distributes AWS costs, handles tag misconfiguration, and spreads shared costs to multiple teams and business units. With multiple teams responsible for provisioning resources, it's common to encounter discrepancies in their approaches towards tagging. Additionally, certain costs, such as bandwidth and AWS business support expenses, are shared. 

• Does your organisation battle with teams taking ownership of their cloud bill?
• Do you need help keeping track of expenses and staying within your Cloud budget?

Well, no more! nOps helps you to allocate every dollar of your AWS bill. nOps ML continuously allocates AWS costs, handles tag misconfiguration, and spreads shared costs to multiple teams and business units. Build a culture of accountability by adding your business context to every dollar of AWS spend. Easily create dynamic allocation rules by region, tags, operation, accounts, and usage types. We allow users to access years worth of cloud billing data in an interactive environment, which could easily amount to millions or billions of rows of data across thousands of billing dimensions.

With nOps, you can efficiently allocate your cloud costs across suitable business units and business outcomes. Efficiently distribute shared costs like bandwidth or support across the right teams. These shared costs are distributed among teams based on fixed percentages or average weights. Handle untagged and miss-tagged resources to allocate every single dollar of AWS spend.

Try nOps Business Contexts today! 

This week nOps Scheduler page has been loaded with lots of new UI and feature enhancements. The latest version now contains a Schedule Grid that gives you the ability to quickly identify and schedule a group of resources with just one click right away from the schedule grid. It offers an easy to use UI which helps you achieve your scheduler needs right away without spending too much time exploring and setting up the schedules individually.

To see and explore this Recommended Schedules in nOps, see nOps Scheduler .