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. 

Starting this week, nOps ShareSave Auto Scaling Group recommendations now also provide you the metadata of the Auto Scaling Group along with the recommendations. The metadata for each Auto Scaling Group includes the name, instances, region, maximum amount of instances, the minimum amount of instances, the desired capacity of instances, group creation date, and the associated tags.

nOps Auto Scaling Group Recommendations allow you to determine your group's idle resources using statistical analysis based on the group’s utilization data. It also allows you to automatically reconfigure your autoscaling group based on actual usage. With nOps Auto Scaling Group recommendation you also get the most optimal personalized configuration based on the historical utilization data that allows you to keep only the amount of resources you need running.

To learn more about nOps Auto Scaling Group Recommendations, visit the website.

nOps ShareSave Auto Scaling Groups Introduces Hot Recommendations

This week, nOps launched the Hot Recommendations feature in ShareSave Auto Scaling Groups recommendations. These recommendations are some of the most lucrative cost-cutting opportunities for nOps customers.

The addition of this new feature does not affect the functionality of the nOps ShareSave AutoScaling Groups Recommendations, it simply adds more variety to the existing recommendations and allows you to schedule resources with more confidence.

To learn more about nOps Auto Scaling Group Recommendations, visit the website.

nOps Scheduler now supports the scheduling of KMS Encrypted EBS Volumes with the help of EventBridge. To schedule KMS Encrypted resources with the nOps scheduler, all you need to do is to connect the KMS ARN with the EventBridge and nOps Scheduler will take care of the rest.

Trying to schedule encrypted resources without connecting a KMS ARN with the EventBridge can result in undesired effects.

To connect the KMS ARN with the EventBridge, Go to the nOps > Organization Settings > Integrations > EventBridge and click Add Key in KMS Stack. You will be redirected to the CloudFormation Stack creation page of your AWS console. Provide your KMS ARN and click Create Stack.

To learn more, see documentation.

nOps Unveils New Visualization for Auto Scaling Groups Recommendations in ShareSave

You can see One Time Configuration and Dynamic Configuration recommendations separately in Auto Scaling Group Recommendations. With this new visualization, you can easily keep track of the type of recommendations and your selected configurations. The new visualization also offers you the ability to see the number of schedules implemented on a resource. 

Each recommendation that you see in one configuration section will have an equivalent recommendation in the other configuration section, the only difference will be the configuration.

To learn more about nOps Auto Scaling Groups recommendations, see website.

nOps Now Provides a Feedback Model in Auto Scaling Groups Recommendation

This week nOps launched a feedback model in nOps Auto Scaling Groups recommendation. With this new feature, you can mark Auto Scaling Groups recommendation as appropriate to implement or not quite right.

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 further improve the recommendation.

To learn more about nOps Auto Scaling Groups recommendations, see website.

Starting this week, nOps Consolidated Weekly Report now also provides Autoscaler Recommendations. With this new feature, users get Autoscale Groups Recommendations directly in their inbox with estimated savings, opportunity name, and a breakdown of savings against each opportunity. Each opportunity is clickable and leads to the nOps Scheduler page where you can see more in-depth details.

With the help of this upgraded Consolidated Weekly Report, the users don't have to manually fetch these details by logging into the nOps, since at the start of every week they would get all of the important insights sent directly to them via email as soon as they start their week.

You can now access nOps ShareSave Dashboard without waiting for the rest of the cloud data to be ingested after completing the onboarding. Going forward, when nOps start ingesting data from your cloud accounts, the first thing it would do is ingest the data required to populate the ShareSave Dashboard and get it running. It only takes up to 5 minutes for the data to ingest and for you to start looking into the savings with ShareSave. 

You can access the ShareSave Dashboard from the menu at the top in the nOps platform. On the ShareSave Dashboard you will get a Savings Summary with the estimated total savings that you can get if you implement nOps recommendations. On the ShareSave Dashboard, nOps allows you to reduce costs and save money with a List of Risk-Free Commitments (EC2, RDS) that you can automate. ShareSave also provides a List of Graviton recommendations, Resource Scheduler recommendations in order to scheduler resources to stop automatically based on a schedule, and New Recommendations for Auto Scaling Groups.

To learn more about ShareSave, see documentation, ShareSave Risk-Free Commitment Management, ShareSave Scheduler, and ShareSave Container Optimization.

Workloads are your building blocks to manage and improve your infrastructure. 🌏 

With nOps workloads, you can validate and measure the effectiveness of workload resources. Now, you can even get more than that by integrating workloads features with your workflow using nOps APIs for workloads! ⚡  Learn more about how you can pull your workload

Click here for more info

nOps has enhanced the partner sign-up flow. Now partners can be on-boarded and using nOps in minutes. nOps has also added a new dashboard that highlights the major features available on the nOps Partner Portal.

Click to go to partner portal 🚀 

When you see a spike in your daily spend you probably will need to identify where and who caused this increase in cost. But going to your resources list doesn’t tell you a lot about it. But now you can get more into the root cause by grouping your resources by your own resources tag to understand which team, which project, or which user was responsible for the cost. However the tags structure you follow, you can group resources by those tags, and get a summarized list of resources related to that tag, and the cost they caused.