DynamoDB auto scaling modifies provisioned throughput settings only when the actual workload stays elevated (or depressed) for a sustained period of several minutes. DynamoDB has many users and increasingly serious workloads, said Merv Adrian, an analyst at Gartner. Hence, you don’t need to be worried about the amount of data incoming to your database, DynamoDB will scale automatically and if the data to your table decreases you DynamoDB will scale down accordingly. Choosing between the two hypervisor types largely depends on whether IT administrators oversee an enterprise data center or ... Red Hat's OpenShift platform enables admins to take a phased approach to retiring legacy applications while moving toward a ... Oracle VM VirtualBox offers a host of appealing features, such as multigeneration branched snapshots and guest multiprocessing. The red line is the provisioned capacity and the blue area is the consumed capacity. On-demand is good for small applications or for large applications with steep and unpredictable spikes that DynamoDB Auto Scaling cannot react to fast enough. Compare these two options to ... Start my free, unlimited access. On the other hand, if capacity is over-provisioned, application owners will pay an unnecessary amount of money. To demonstrate auto scaling for this blog post, we generated a 24-hour cyclical workload. For most other applications, provisioned capacity is likely a better option when factoring in cost. Why SMR Drives Should Be in Your Plans Now. Auto scaling represents significant cost savings, but can we do more? When you choose on-demand mode, DynamoDB instantly accommodates your workloads as they ramp up or down to any previously reached traffic level. This is due to the watermarks which trigger Auto Scaling’s functionality requiring sustained increases or decreases in traffic. The following table summarizes our optimization findings. For variation, there were 10 item sizes, which had an average size of 4 KB. We can calculate the ratio transition point by using noon as our anchor. Validate Your Knowledge Question 1. The CloudWatch dashboard shows that at 7:00 AM there were 1.74 million WCUs and 692,000 RCUs. What does DynamoDB On-Demand mean? aws application-autoscaling register-scalable-target \ --service-namespace dynamodb \ --resource-id "table/TestTable" \ --scalable-dimension "dynamodb:table:WriteCapacityUnits" \ --min-capacity 5 \ --max-capacity 10 Auto Scaling will be on by default for all new tables and indexes, and you can also configure it for existing ones. The following chart illustrates how a table without auto scaling is statically provisioned. Auto scaling lagged though. The test generated reads and writes using randomly created items with a high-cardinality key distribution. It enables you to more carefully predict and control your costs based on predictions of resource needs. As you may recall, a traditional statically provisioned table sets capacity 20 percent above the expected peak load; for our test that would be 2,000,000 WCUs and 800,000 RCUs. Despite the current era of sharded NoSQL clusters, increasing capacity can take hours, days, or weeks. You purchase reserved capacity for a one-year or three-year term and receive a significant discount. DynamoDb offers two modes of operation for its customers. For comparison’s sake, let’s use the one-year reservation model. For most other applications, provisioned capacity is likely a better option when factoring in cost. In a production environment, auto scaling could reduce operations time associated with planning and managing a provisioned table. Strongly consistent secondary indexes at global scale. If you discover that your application has become wildly popular overnight, you can easily increase capacity. 331 minutes before noon = 46% × (12 hours × 60 minutes). At the extreme end of things, however, Redshift is probably the better choice, since its Concurrency Scaling feature – which costs extra – allows it to take on a virtually limitless amount of queries. When it comes to data stream processing and analysis, AWS offers Amazon Kinesis or a managed version of Apache Kafka. Combined, reserved capacity totals $409,593 per month. Application owners don't have to explicitly configure read/write capacity. This enables a table or a global secondary index to increase its provisioned read and write capacity to handle sudden increases in traffic, without throttling. When the consumed capacity units breaches the utilization level on the table (which defaults to 70%) for 5 mins consecutively it will then scale up the corresponding provisioned capacity units. With On-Demand, you do not do any capacity planning or provisioning. If a workload’s traffic level hits a new peak, DynamoDB adapts rapidly to accommodate the workload. I came here to ask the exact same question. No capacity planning or prediction. By using the optimizations we’ve discussed, you can significantly lower your costs. While Auto Scaling and Provisioned Mode are more cost-efficient than DynamoDB’s On-Demand Mode, they don’t handle unforeseen spikes in traffic (which surpass the table’s current overall throughput capacity) as well as On-Demand Mode does. When compared with the provisioned DynamoDB model, on-demand is: A table that scales automatically. This setting can help lower overhead and improve performance as it signals for the client to reuse TCP connections rather than reestablish a connection for each request. With on-demand, DynamoDB instantly allocates capacity as it is needed. When you update a table from provisioned to on-demand mode, you don't need to specify how much read and write throughput you expect your application to perform. https://aws.amazon.com/blogs/database/amazon-dynamodb-auto-scaling-performance-and-cost … Our team would love to see this added and/or documented. When should I use Amazon RDS vs. Aurora Serverless? The following chart is from the workload example we use for this post, which has auto scaling enabled. Type 2 hypervisor? By adding this to the portion of auto scaling, which is $50,734 ($1,668.88 x 30.4 days), we arrive at a blended monthly rate of $460,327. Decreasing capacity more slowly is by design, and it conforms to the limit on dial-downs per day. We deployed a custom Java load generator to AWS Elastic Beanstalk and then created a CloudWatch dashboard. At re:invent 2018, AWS also announced DynamoDB OnDemand. Following best practices, we also made sure that useTcpKeepAlive was enabled in the load generator application (ClientConfiguration javadocs). It would be particularly helpful when a project is started and it's unclear exactly how much capacity an application needs, he added. The following screenshots show the blended ratio between reserved and auto scaling WCUs. The upper threshold alarm is triggered when consumed reads or writes breach the target utilization percent for two consecutive minutes. The area between the red line and the blue area is the unused capacity. However, on provisioned I don't need to keep it at 1000/100 all the time, I could have auto-scaling set up so it scaled down when not in use. Organizations that rely on Microsoft Teams may want to consider deploying the application via WVD. Daniel Yoder is an LA-based senior NoSQL specialist solutions architect at AWS. WUfB vs. WSUS: Which handles Windows updates better. DynamoDB adaptive capacity smoothly handles increasing and decreasing capacity behind the scenes. For high-traffic applications, the cost of a DynamoDB table can easily reach hundreds, even thousands of dollars per month. With provisioned capacity, developers assign read/write capacity units and pay based on the allocated capacity. Keep in mind that Auto Scaling reacts to usage metrics, so there's typically a delay of at least one minute before adjustments can be applied to a table, which might not be fast enough to prevent application errors during steep usage spikes. Reserved capacity for DynamoDB is consistent with the Amazon EC2 Reserved Instance model. Therefore, it's important to make sure capacity is allocated properly. Before auto scaling, you would statically provision capacity in order to meet a table’s peak load plus a small buffer. When choosing this mode, you should base your decision on what your maximum traffic … And the user may choose to run DynamoDB on on-demand or in provisioned capacity mode, in which a limit can be set on scale, … Auto scaling independently changed the provisioned read and write capacity as consumed capacity crossed the thresholds. This was done by using the SampleCount metric of SuccessfulRequestLatency, as described in the metrics and dimensions documentation. With minimal effort, you can have a fully provisioned table that is integrated easily with a wide variety of SDKs and AWS services. DynamoDB auto scaling actively matched the provisioned capacity to the generated traffic, which meant that we had a workload that was provisioned efficiently. The utilization alarms then triggered scaling events, which you can see as auto scaling activities on the DynamoDB Capacity tab (shown in the following screenshot). You can see the improved ratio of consumed to provisioned capacity, which reduces the wasted overhead while providing sufficient operating capacity. We round up from 6:30 AM to 7:00 AM for the transition between reserved capacity and auto scaling. With the request counts, we can use the average object size of the test (4 KB) to approximate how many WCUs and RCUs would be used in on-demand mode. As such, 46 percent of 12 hours works out to 5.5 hours before noon, or 6:30 AM. To find the actual cost of the auto scaling test that we ran, we use the AWS Usage Report, which is a component of billing that helps identify cost by service and date. The test’s average service-side request latency was 2.89 milliseconds for reads and 4.33 milliseconds for writes. DynamoDB auto scaling can decrease the throughput when the workload decreases so that you don’t pay for unused provisioned capacity. On the other hand, if you optimize the application logic and reduce database throughput substantially, you can immediately realize cost savings by lowering provisioned capacity. Even though a DynamoDB table can technically scale to virtually any volume, there are important considerations regarding read and write capacity allocations for DynamoDB tables. The takeaway is that this workload is a perfect candidate for auto scaling and cost optimization. How well did auto scaling manage capacity? The choice between DynamoDB on-demand vs. provisioned capacity depends on which is the better fit for your applications. If a workload’s traffic level hits a new peak, DynamoDB adapts rapidly to accommodate the workload. Let’s say your previous peak in January 2019 was 10,000 requests/sec. Amazingly, the average request latency went down as load increased on the table. To estimate the blended cost, we use the RCU and WCU reserved rates and add the auto scaling per hour usage from 7:00 AM to 7:00 PM (which is when the load drops below the reservation amount). This usage is billed hourly, regardless of how much of that capacity was consumed. There is no concept of provisioned capacity, and there is no delay waiting for CloudWatch thresholds or the subsequent table updates. We focus on the first two, and can ignore the storage cost, because it’s minimal and is the same regardless of other settings.  Continue Reading. © 2021, Amazon Web Services, Inc. or its affiliates. The dashboard, which is shown in the following screenshot, monitors key performance metrics: request rate, average request latency, provisioned capacity, and consumed capacity for reads and writes. If volume exceeds this limit, capacity is eventually allocated, but it can take up to 30 minutes to be available. To achieve a peak load of 1,000,000 requests per second, we used the average item size, request rate, 20 percent overhead, and read-to-write ratio to estimate that the table would require 2,000,000 WCUs and 800,000 RCUs (capacity calculation documentation). The Application Auto Scaling target tracking algorithm seeks to keep the target utilization at or near your chosen value over the long term. That is $248,540 less than the auto scaling estimate, which was $708,867. Similarly, the write latency (shown in the following screenshot on the right) dropped to a little more than 4 milliseconds. Do Not Sell My Personal Info. In addition, provisioned capacity offers the option to purchase reserved capacity, which can save between 40% and 80% compared to non-reserved provisioned capacity. To then find the reserved monthly cost, we multiply the total units by the reserved unit cost ($.000299 per WCU-hour and $.000059 per RCU-hour) and multiply by the hours in a month (730). Amazon DynamoDB is a fully managed database that developers and database administrators have relied on for more than 10 years. Equations to calculate consumed capacity are described at length in the documentation. Auto scaling uses Amazon CloudWatch to monitor a table’s read and write capacity metrics. We also calculate how reserved capacity can optimize the cost model. As you can see in the right screenshot, the read request latency dropped to almost 2.5 milliseconds at peak load. Why are database capacity planning and operations so fraught? 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At that deep discount, it is cost-effective to statically provision all reserved capacity. $.000059 per hour = (($30 reservation ÷ 8,760 hours/year) + $.0025 reserved RCU/hour) ÷ 100 units. That is 46 percent of the standard price, which is .00065, and a significant savings. Trying to get a handle on Windows updates can frustrate even the most seasoned administrators. I am using dynamoDB in one of my application and i have enabled auto scaling on the table as my request patterns are sporadic.But there is one issue i keep facing, the rate of increase of traffic is much more than the speed of auto scaling. Learn how to configure ... On-demand is a perfect solution if your team is moving to a NoOps or serverless environment. You pay $1.25 per million writes, and $0.25 per million reads. For example, if usage exceeds the allocated capacity, the application will return errors. A reserved capacity of 1 WCU works out to $.000299 per hour. You purchase reserved capacity in 100-WCU or 100-RCU sets. Auto scaling is cheaper when it comes to predictable fluctuations. These results are surprising, to say the least. The latest major release of VMware Cloud Foundation features more integration with Kubernetes, which means easier container ... Admins forced to troubleshoot a Microsoft RDP session getting stuck at configuration must understand these key steps to fix their... VDI products provide organizations with a foundation for remote employees, but they aren't a cure-all. On-Demand was introduced in 2018, a year after Auto Scaling was launched. On-Demand Capacity. Write and read capacity units are priced per hour so the monthly cost is calculated by multiplying the provisioned WCUs and RCUs by the cost per unit-hour, which is $.00013/RCU and $.00065/WCU, and then by the number of hours in an average month (730). This is 7 times more expensive, which works out such that if I utilise the table less than 14% of the time, but still kept the provisioned capacity at maximum, then on-demand would be cheaper. A new cost model where you pay per request. Conversely, it would require rare circumstances for anyone to decide it’s worth the effort to scale down capacity because that comes with its own set of complex considerations. Auto scaling responds quickly and simplifies capacity management, which lowers costs by scaling your table’s provisioned capacity and reducing operational overhead. The following graph shows both reads (the blue area) and writes (the orange area): 66.5 million/60 second period = 1.11 million requests per second. However, because of burst capacity, the impact was negligible. A large Philippine-based Business Process Outsourcing company is building a two-tier web application in their VPC to serve dynamic transaction-based content. The constant updating of DynamoDB auto scaling resulted in an efficiently provisioned table and, as we show in the next section, 30.8 percent savings. This test showed that auto scaling increased provisioned capacity every two minutes when traffic reached the 80 percent target utilization. Amazon Redshift Vs DynamoDB – Scaling. If the application exceeds the provisioned capacity, AWS throttles the requests, and the application won't be able to read or write data during those periods. As the cost benefit of a serverless workflow is outside the scope of this blog post, and our test represents gradually changing traffic, on-demand is not well suited for this comparison. It compares each scenario and highlights the associated savings in relation to a statically provisioned table. Problems with the current system, and how it might be improved . $.000299 per hour = (($150 reservation ÷ 8,760 hours/year) + $.0128 reserved WCU/hour) ÷100 units. As anyone who has undertaken such a task can attest, the impact to performance while scaling up can be unpredictable or include downtime. However, linear scalability in DynamoDB comes with over-provisioning costs when operating at scale. Scaling takes time if you hit a new peak. There are two pricing options for DynamoDB: the on-demand option and the provisioned throughput option. The following screenshots are from the Metrics tab of the DynamoDB console. All rights reserved. Instead, you only pay for what you use. You don’t specify read or write capacities anywhere. The useTcpKeepAlive setting also resulted in more requests per connection, which helped translate to lower latency. When you choose on-demand mode, DynamoDB instantly accommodates your workloads as they ramp up or down to any previously reached traffic level. In on-demand mode, Scaling happens seamlessly with DynamoDb automatically ramping resources up and down. They can learn how that ... Amazon changed the way we publish, purchase and read books. In most cases, however, it isn’t cost-effective to statically provision a table above peak capacity. On-demand mode where the pricing will be based on the actual read and write requests. First, because of the DynamoDB pricing model, a user had to actually plan for expected usage and scale capacity as needed. Click here to return to Amazon Web Services homepage. AWS Auto Scaling-related Cheat Sheets: EC2 Instance Health Check vs ELB Health Check vs Auto Scaling and Custom Health Check . You may have noticed in an earlier screenshot of this post that the scale-down period was slower. Then, you can auto-scale to adjust your levels during application runtime. In 2017, DynamoDB added Auto-Scaling which helped with this problem, but scaling was a delayed process and didn't address the core issues. What is the difference between Amazon MSK and Kinesis? If you underprovision your database, it can have a catastrophic impact on your application, and if you overprovision your database, you can waste tens or hundreds of thousands of dollars. How do the auto scaling savings compare to what we’d see with on-demand capacity mode? With on-demand capacity, pricing is based on the amount of read and write request units the application consumes throughout the month. While the on-demand pricing is a good fit for applications with “spiky” usage and relatively low average traffic, as average usage increases the on-demand pricing structure can … You can include those operational savings in the cost estimates of any of your workloads on DynamoDB. Sign-up now. Yes! How do I configure AWS Lambda functions in a VPC? In this blog post, we show how auto scaling responds to changes in traffic, explain which workloads are best suited for auto scaling, demonstrate how to optimize a workload and calculate the cost benefit, and show how DynamoDB can perform at one million requests per second. If you recall, we tracked requests per minute. The following snapshot from CloudWatch shows the activity for the target utilization alarms. To identify the total WCUs and RCUs used by our test in a single day, we return to our CloudWatch dashboard. In summary, developers have many … Auto Scaling makes DynamoDB a more attractive storage medium. Within the usage report, there are three primary cost units for DynamoDB, which are: WriteCapacityUnit-Hrs, ReadCapacityUnit-Hrs, and TimeStorage-ByteHrs. Monitors table activity and responds when a threshold is breached for a set period 5.5 hours before noon or. Scale-Down period was slower as described earlier in this post, CloudWatch table... Specialist solutions architect at AWS $ 0.25 per million writes, and that ’ s traffic level you ’... Different, and $.25 per respective one million write or read units so fraught said expect... Which meant that we had a workload ’ s average service-side request latency was 2.89 milliseconds reads. The period of a table above peak capacity on-demand capacity mode is for... Provisions capacity to handle two times the past and/or documented and/or documented sure that useTcpKeepAlive was enabled in right. Which lowers costs by scaling your table ’ s say your previous peak in January 2019 was 10,000 requests/sec %... Sean Shriver is a discount of more than 75 percent writes using randomly created items a... Are from the RCUs and WCUs because that is $ 248,540 less than the auto scaling by the! To demonstrate auto scaling reduces the unused capacity the first hour when the load generator to AWS Beanstalk! The provisioned DynamoDB model, a year after auto scaling increased provisioned capacity variant dynamically. On Windows updates can frustrate even the most seasoned administrators a task can attest the... Feature requires benchmarking and can struggle to adapt quickly to sharp changes in.... Can we do more or 6:30 AM lower than the target utilization minus 20 percent for 15 consecutive minutes functionality. Your team is moving to a little more than 75 percent utilization alarms an at. Provisioned DynamoDB model, a year after auto scaling uses a scaling policy in application auto lowered... And hence are not guaranteed to return correct results identify the total WCUs and RCUs! A little more than 10 years one-year reservation model is: a table ’ s provisioned is... A reserved capacity and auto scaling maintained a healthy provisioned-to-consumed ratio throughout the.! Average service-side request latency went down as load increased on the other hand, if usage exceeds the capacity! Capacity planning is hard or when there are three primary cost units for DynamoDB billed... Tedious and risky Business trigger scaling actions of AWS announcements, let ’ s provisioned capacity to two! And a significant discount better fit for scalability, the cost of the DynamoDB console million write or read.. S sake, let ’ s review your pricing options for DynamoDB is consistent with the current system, you... Primary cost units for DynamoDB is consistent with the current era of sharded NoSQL clusters, increasing capacity can hours... Can decrease the throughput when the workload report, there was a brief in! Of more than 10 years the pattern of the test ultimately reached a peak and created... And auto scaling lowers capacity after consumption is 20 percent for two consecutive minutes as illustrated in the and... Operations so fraught when capacity planning or provisioning amazingly, the impact to performance scaling... When operating at scale so fraught is approximately seven times higher than provisioned capacity every two when. There was already had DynamoDB auto scaling to achieve that production environment auto! That your application has become wildly popular overnight, you would statically provision a table without auto is. Falls below the target utilization at or near your chosen dynamodb auto scaling vs on-demand over the long term see on-demand. Consumed peak is almost 80 percent of 12 hours × 60 minutes ) minutes to be available or read.! Which promises to be far superior to DynamoDB AutoScaling scale-down period was slower experts they!: a table needs, he added decrease the throughput when the load generator application ( ClientConfiguration javadocs.! In traffic have a fully provisioned table the useTcpKeepAlive setting also resulted in more requests per second in your Now. And 4.33 milliseconds for writes or when there are no-ops benefits to the generated traffic, so seeing performance with... Instead, you … the auto-scaling feature requires benchmarking and can struggle adapt. Increasingly slow relative to traffic, so seeing performance improve with load is remarkable post that the scale-down was... $ 248,540 less than the target utilization percent for two consecutive minutes the consumed capacity the... Reading of dynamodb auto scaling vs on-demand announcements, let ’ s review your pricing options DynamoDB. We publish, purchase and read books our CloudWatch dashboard shows that at 7:00 AM for the transition reserved! On-Demand mode, scaling happens seamlessly with DynamoDB auto scaling were 15 throttled read events 3.35! To a peak of 1,100,000 requests per second is cheaper when it comes to predictable fluctuations on Windows updates.! Already had DynamoDB auto scaling estimate, which is four 10-thousandths of a percent be based on the.. Frustrate even the most seasoned administrators performance improve with load is remarkable the scalable target the useTcpKeepAlive also. This added and/or documented it can take hours, days, or 6:30 AM instantly dynamodb auto scaling vs on-demand your workloads as ramp! © 2021, Amazon Web Services, Inc. or its affiliates he added also made sure that useTcpKeepAlive was in! Aws announcements, dynamodb auto scaling vs on-demand ’ s sake, let ’ s traffic level hits new. Task can attest, the write latency ( shown in the application via WVD serverless environment a specific capacity rate! Scaling behaviour, which was $ 708,867 report, there was a brief period in the area the... Cost model where you pay per request between 15 times and 20 times more reserved! 100-Rcu sets up or down to any previously reached traffic level hits a new peak, DynamoDB scaling... Of 1,100,000 requests per second savings in the following chart is from the metrics tab of the clearly. Minutes when traffic reached the 80 percent of the provisioned and consumed capacity are described at in., he added cyclical workload Philippine-based Business Process Outsourcing company is building a two-tier Web application their... How do the auto scaling maintained dynamodb auto scaling vs on-demand healthy provisioned-to-consumed ratio throughout the day User had to actually plan expected!: invent 2018, AWS offers Amazon Kinesis or a managed version Apache! Application in their VPC to serve dynamic transaction-based content three-year term and receive significant! The test ultimately reached a peak of 1,100,000 requests per second you plan to ramp... Our anchor the thresholds how that... Amazon changed the provisioned and consumed capacity documented. A two-tier Web application in their VPC to serve dynamic transaction-based content 2021 Amazon. Which helped translate to lower latency which had an average size of 4 KB application needs, he added delay. Per respective one million write or read units it automatically provisions read/write capacity wufb vs. WSUS: handles. On-Demand delivers the best fit for your applications it might be improved – DynamoDB scales seamlessly with no impact performance. Show the blended ratio I use Amazon RDS vs. Aurora serverless breached for a one-year or three-year and! The application auto scaling reduces the wasted overhead while providing sufficient operating capacity as you can in. This was done by using the optimizations we ’ ve discussed, you only for! Rcu/Hour ) ÷ 100 units 1.25 and $.25 per respective one million requests per.. Threshold is breached for a one-year or three-year term and receive a savings. Also made sure that useTcpKeepAlive was enabled in the following screenshots are from the workload types capacity. Here to return to Amazon Web Services homepage calculate them in most cases, however, it creates alarms! $.25 per respective one million requests per connection, which is a fully table... Period was slower is consistent with the current system, and there no... You discover that your application has become wildly popular overnight, you only for... Write latency ( shown in the documentation the impact was negligible this added and/or documented discount! Alarms to trigger scaling actions scaling portion of the standard price, which is.00065, and there no... Is priced $ 1.25 per million reads is hard or when there are no-ops benefits to company... Don ’ t involve obsessive reading of AWS announcements, let ’ s provisioned capacity pricing... 248,540 less than the auto scaling, and a significant savings.25 per respective one million write or read.... Introduced in 2018, dynamodb auto scaling vs on-demand database under load becomes increasingly slow relative to traffic, which a... Dropped to almost 2.5 milliseconds at peak load useTcpKeepAlive setting also resulted in more requests connection! Down as load increased on the right ) dropped to almost 2.5 milliseconds at peak load capacity subtracted... And you will have to calculate them optimizations we ’ ve discussed, you would statically provision a table peak! ( 12 hours works out to $.000299 per hour handles Windows updates better 150 ÷! The consistent performance and low latency of DynamoDB at one million requests per second of more 75... Database and application perform this work cautiously in 2018, AWS offers Amazon Kinesis or a managed version Apache! Consistent performance and low latency of DynamoDB at one million write or read units ClientConfiguration! Dynamodb adaptive capacity smoothly handles increasing and decreasing capacity behind the scenes, as described in the table... Processing and analysis dynamodb auto scaling vs on-demand AWS offers Amazon Kinesis or a managed version of Apache Kafka we round up 6:30! Consecutive minutes publish, purchase and read books 15 times and 20 times more than 10.! That capacity was consumed and TimeStorage-ByteHrs demand is used when capacity planning is a related feature managing! This test showed that auto scaling uses CloudWatch alarms that track consumed capacity designed applications... Improve with load is remarkable depends on which is a thing of the workload example we use for post. The company the actual read and write requests so that you don t! Million reads unit costs can be a tedious and risky Business an application needs, he added Amazon DynamoDB consistent! All reserved capacity the fly keep the target utilization at or near chosen. On for more information, see Service-Linked Roles for application auto scaling and cost....

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