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 . 

This week, nOps launched grouped recommendations by EC2 resources. With this new feature, nOps provides multiple EC2 recommendations for a single EC2 resource as a group which comes directly from smart nOps AI engine. These robust recommendations help you see the maximum savings opportunities that can be availed with just a few clicks by setting up the desired schedule from the list of recommendations.  

The EC2 recommendations are a part of the nOps ShareSave program, and you can find the EC2 recommendations in the List of Opportunities section. Each EC2 recommendation consists of an Opportunity Name, Instance Type , Account Name, Region, Schedule (Not Scheduled or Scheduled), Total Savings, and an Action to schedule the recommendation.

To see your own EC2 Recommendations in nOps, see EC2 Recommendations.

This week, nOps launched RDS Cluster Scheduling. With this new feature, you can now schedule entire RDS clusters in just a few clicks. You can find the RDS clusters to schedule in the Create Schedule modal on the Scheduler page. In the last version, RDS recommendations only provided RDS instances recommendations.

The RDS recommendations are a part of the nOps ShareSave program, and you can find the RDS recommendation in the List of Opportunities section. Each RDS recommendation consists of an Opportunity Name, RDS Type (Single Instance and Cluster), Instance Size, Account Name, Region, Schedule (Not Scheduled or Scheduled), New Config (Recommended Configuration), Total Savings, and an Action to schedule the recommendation.

You can also click on the opportunity name to see the details of the usage and the recommendation in the form of line charts. To schedule a recommendation, simply click on the Schedule button, give your schedule a name and click create, all other fields are populated automatically.

To see your own RDS Recommendations in nOps, see RDS Recommendations. 

nOps RDS Scheduler now provides Metadata of Database Instances

nOps RDS Scheduler now provides nOps users the ability to see the metadata of the RDS database instances in the recommendations. To see the metadata of database instances, go to ShareSave > List of Opportunities > Amazon Relational Database Service > RDS Scheduler > [Database Instance] and click on any recommendation to see the metadata.

Alongside metadata, you can also see the details of the database connections, CPU utilization, and the recommendation in the form of line charts with Database Connections on the y-axis and the time of day on the x-axis. 

The RDS recommendations are a part of the nOps ShareSave program, and you can find the RDS recommendation in the List of Opportunities section on the ShareSave page.

To see your own RDS Recommendations in nOps, see RDS Recommendations.

nOps Scheduler for RDS Scheduling now Groups Recommendations by Database Instances

nOps RDS Scheduler now groups recommendations by database instances to allow greater visibility and control over the recommendation. nOps can offer multiple recommendations for the same instance or cluster, and you have the ability to choose which recommendation to implement. The grouping of recommendations based on database instances will allow you to quickly grasp the difference in recommendations and choose the best recommendation according to your requirements. 

The RDS recommendations are a part of the nOps ShareSave program, and you can find the RDS recommendation in the List of Opportunities section. Each RDS recommendation consists of an Opportunity Name, RDS Type (Single Instance and Cluster), Instance Size, Account Name, Region, Schedule (Not Scheduled or Scheduled), New Config (Recommended Configuration), Total Savings, and an Action to schedule the recommendation.

To see your own RDS Recommendations in nOps, see RDS Recommendations.

This week nOps launched a feedback model in nOps Resource Scheduler recommendations. With this new feature, you can mark Resource Scheduler recommendations as appropriate to implement or not.

The feedback will help you: point out recommendations that you want your team to implement right away, or block out recommendations that you feel are not ready to be implemented for any reason. Your feedback will also help nOps AI to improve the recommendations further.

To see your own Resource Scheduler recommendations in nOps, see Resource Scheduler Recommendations. To learn more about Resource Scheduler recommendations, visit the website.

nOps Announces ShareSave RDS Recommendations

nOps ShareSave now provides customers with RDS recommendations. The RDS recommendations clearly describe the optimization approach you should take and shows the recommendations to implement.

The RDS recommendations are a part of the nOps ShareSave program, and you can find the RDS recommendation in the List of Opportunities section. Each RDS recommendation consists of an Opportunity Name, RDS Type (Single Instance and Cluster), Instance Size, Account Name, Region, Schedule (Not Scheduled or Scheduled), New Config (Recommended Configuration), Total Savings, and an Action to schedule the recommendation.

You can also click on the opportunity name to see the details of the usage and the recommendation in the form of line charts. To schedule a recommendation, simply click on the Schedule button, give your schedule a name and click create.

To see your own RDS Recommendations in nOps, see RDS Recommendations.