Q: Which Elasticsearch version does Amazon Elasticsearch Service support?
Amazon Elasticsearch Service currently supports Elasticsearch versions 6.3, 6.2, 6.0, 5.6, 5.5, 5.3, 5.1, 2.3, and 1.5.
Q: What is Amazon Elasticsearch Service?
Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch clusters in the AWS Cloud.
Q: What is an Amazon Elasticsearch Service domain?
Amazon Elasticsearch Service domains are Elasticsearch clusters created using the Amazon Elasticsearch Service console, CLI, or API. Each domain is an Elasticsearch cluster in the cloud with the compute and storage resources you specify. You can create and delete domains, define infrastructure attributes, and control access and security. You can run one or more Amazon Elasticsearch Service domains.
Q: What does Amazon Elasticsearch Service manage on my behalf?
Amazon Elasticsearch Service manages the work involved in setting up a domain, from provisioning infrastructure capacity in the network environment you request to installing the Elasticsearch software. Once your domain is running, Amazon Elasticsearch Service automates common administrative tasks, such as performing backups, monitoring instances and patching software. Amazon Elasticsearch Service integrates with Amazon CloudWatch to produce metrics that provide information about the state of the domains. Amazon Elasticsearch Service also offers options to modify your domain instance and storage settings to simplify the task of tailoring your domain based to your application needs.
Q: Does Amazon Elasticsearch Service support the open source Elasticsearch APIs?
Amazon Elasticsearch Service supports most of the commonly used Elasticsearch APIs, so the code, applications, and popular tools that you're already using with your current Elasticsearch environments work seamlessly. For a full list of supported Elasticsearch operations, see our documentation.
Setup and configuration
Q: Can I create and modify my Amazon Elasticsearch Service domain through the Amazon Elasticsearch Service console?
Yes. You can create a new Amazon Elasticsearch Service domain with the Domain Creation Wizard in the console with just a few clicks. While creating a new domain you can specify the number of instances, instance types, and EBS volumes you want allocated to your domain. You can also modify or delete existing Amazon Elasticsearch Service domains using the console.
Q: Does Amazon Elasticsearch Service support Amazon VPC?
Yes, Amazon Elasticsearch Service is integrated with Amazon VPC. When choosing VPC access, IP addresses from your VPC are attached to your Amazon Elasticsearch Service domain and all network traffic stays within the AWS network and is not accessible to the Internet. Moreover, you can use security groups and IAM policies to restrict access to your Amazon Elasticsearch Service domains.
Q: Does Amazon Elasticsearch Service support configuring dedicated master nodes?
Yes. You can configure dedicated master nodes for your domains. When choosing a dedicated master configuration, you can specify the instance type and instance count.
Q: Can I create multiple Elasticsearch indices within a single Amazon Elasticsearch Service domain?
Yes. You can create multiple Elasticsearch indices within the same Amazon Elasticsearch Service domain. Elasticsearch automatically distributes the indices and any associated replicas between the instances allocated to the domain.
Q: How do I ingest data into my Amazon Elasticsearch Service domain?
Amazon Elasticsearch Service supports three options for data ingestion:
- For large data volumes, we recommend Amazon Kinesis Firehose, a fully managed service that automatically scales to match the throughput of your data and requires no ongoing administration. It can also transform, batch and compress the data before loading it.
- Amazon Elasticsearch Service supports integration with Logstash. You can configure your Amazon Elasticsearch Service domain as the data store for all logs arriving from your Logstash implementation.
- You can use native Elasticsearch APIs, such as the index and bulk APIs, to load data into your domain.
Q: Does Amazon Elasticsearch Service support integration with Logstash?
Yes. Amazon Elasticsearch Service supports integration with Logstash. You can set up your Amazon Elasticsearch Service domain as the backend store for all logs coming through your Logstash implementation. You can set up access control on your Amazon Elasticsearch Service domain to either use request signing to authenticate calls from your Logstash implementation, or use resource based IAM policies to include IP addresses of instances running your Logstash implementation.
Q: Does Amazon Elasticsearch Service support integration with Kibana?
Yes. Amazon Elasticsearch Service includes a built-in Kibana install that is deployed with your Amazon Elasticsearch Service domain.
Q: What storage options are available with Amazon Elasticsearch Service?
You can choose between local on-instance storage or EBS volumes. During domain creation, if you select EBS storage, you can increase and decrease the size of the storage volume as necessary.
Q: What types of EBS volumes does Amazon Elasticsearch Service support?
You can choose between Magnetic, General Purpose, and Provisioned IOPS EBS volumes.
Q: Is there a limit on the amount of EBS storage that can be allocated to an Amazon Elasticsearch Service domain?
Yes. Amazon Elasticsearch Service supports one EBS volume (max size of 1.5 TB) per instance associated with a domain. With the default maximum of 20 data nodes allowed per Amazon Elasticsearch Service domain, you can allocate about 30 TB of EBS storage to a single domain. You can request a service limit increase up to 100 instances per domain by creating a case with the AWS Support Center. With 100 instances, you can allocate about 150 TB of EBS storage to a single domain.
Q: Can programs running on servers in my own data center access my Amazon Elasticsearch Service domains?
Yes. The programs with public Internet access can access Amazon Elasticsearch Service domains through a public endpoint. If your data center is already connected to Amazon VPC through Direct Connect or SSH tunneling, you can also use VPC access. In both cases, you can configure IAM policies and security groups to allow programs running on servers outside of AWS to access your Amazon Elasticsearch Service domains. Click here for more information about signed requests.
Q: How can I migrate data from my existing Elasticsearch cluster to a new Amazon Elasticsearch Service domain?
To migrate data from an existing Elasticsearch cluster you should create a snapshot of an existing Elasticsearch cluster, and store the snapshot in your Amazon S3 bucket. Then you can create a new Amazon Elasticsearch Service domain and load data from the snapshot into the newly created Amazon Elasticsearch Service domain using the Elasticsearch restore API.
Q: How can I scale an Amazon Elasticsearch Service domain?
Amazon Elasticsearch Service allows you to control the scaling of your Amazon Elasticsearch Service domains using the console, API, and CLI. You can scale your Amazon Elasticsearch Service domain by adding, removing, or modifying instances or storage volumes depending on your application needs. Amazon Elasticsearch Service is integrated with Amazon CloudWatch to provide metrics about the state of your Amazon Elasticsearch Service domains to enable you to make appropriate scaling decisions for your domains.
Q: Does scaling my Amazon Elasticsearch Service domain require downtime?
No. Scaling your Amazon Elasticsearch Service domain by adding or modifying instances, and storage volumes is an online operation that does not require any downtime.
Q: What options does Amazon Elasticsearch Service provide for node failures?
Amazon Elasticsearch Service automatically detects node failures and replaces the node. The service will acquire new instances, and will then redirect Elasticsearch requests and document updates to the new instances. In the event that the node cannot be replaced, customers will be able to use any snapshots they have of their cluster to restart the domain with preloaded data.
Q: Does Amazon Elasticsearch Service support cross-zone replication?
Yes. Customers can enable Zone Awareness for their Amazon Elasticsearch Service domains either at domain creation time or by modifying a live domain. When Zone Awareness is enabled, Amazon Elasticsearch Service will distribute the instances supporting the domain across two different Availability Zones. Then, if replication is enabled in the Elasticsearch engine, Elasticsearch will allocate replicas of the domain across these different instances enabling cross-zone replication.
Q: Does Amazon Elasticsearch Service expose any performance metrics through Amazon CloudWatch?
Yes. Amazon Elasticsearch Service exposes several performance metrics through Amazon CloudWatch including number of nodes, cluster health, searchable documents, EBS metrics (if applicable), CPU, memory and disk utilization for data and master nodes. Please refer to the service documentation for a full listing of available CloudWatch metrics.
Q: I wish to perform security analysis or operational troubleshooting of my Amazon Elasticsearch Service deployment. Can I get a history of all the Amazon Elasticsearch Service API calls made on my account?
Yes. AWS CloudTrail is a web service that records AWS API calls for your account and delivers log files to you. The AWS API call history produced by AWS CloudTrail enables security analysis, resource change tracking, and compliance auditing. Learn more about AWS CloudTrail at the AWS CloudTrail detail page, and turn it on via CloudTrail's AWS Management Console home page.
Q: What is a snapshot?
A snapshot is a copy of your Amazon Elasticsearch Service domain at a moment in time.
Q: Why would I need snapshots?
Creating snapshots can be useful in case of data loss caused by node failure, as well as the unlikely event of a hardware failure. You can use snapshots to recover your Amazon Elasticsearch Service domain with preloaded data or to create a new Amazon Elasticsearch Service domain with preloaded data. Another common reason to use backups is for archiving purposes. Snapshots are stored in Amazon S3.
Q: Does Amazon Elasticsearch Service provide automated snapshots?
Yes. By default, Amazon Elasticsearch Service will automatically create daily snapshots of each Amazon Elasticsearch Service domain. The daily snapshots are setup to occur between midnight and 1AM UTC. Customers will also be able to modify the timing of the automated snapshot to better suit their needs.
Q: Can I change the default settings for the automated daily snapshot provided by Amazon Elasticsearch Service?
Yes. You will be able to change the timing of the automated daily snapshot to suit your application schedule.
Q: How long are the automated daily snapshots stored by Amazon Elasticsearch Service?
Amazon Elasticsearch Service will retain the last 14 days worth of automated daily snapshots.
Q: Is there a charge for the automated daily snapshots?
There is no additional charge for the automated daily snapshots. The snapshots are stored for free in an Amazon Elasticsearch Service S3 bucket and will be made available for node recovery purposes.
Q: Can I create additional snapshots of my Amazon Elasticsearch Service domains as needed?
Yes. You can use the Elasticsearch snapshot API to create additional manual snapshots in addition to the daily-automated snapshots created by Amazon Elasticsearch Service. The manual snapshots are stored in your S3 bucket and will incur relevant Amazon S3 usage charges.
Q: Can snapshots created by the manual snapshot process be used to recover a domain in the event of a failure?
Yes. Customers can create a new Amazon Elasticsearch Service domain and load data from the snapshot into the newly created Amazon Elasticsearch Service domain using the Elasticsearch restore API.
Q: What happens to my snapshots when I delete my Amazon Elasticsearch Service domain?
The daily snapshots retained by Amazon Elasticsearch Service will be deleted as part of domain deletion. Before deleting a domain, you should consider creating a snapshot of the domain in your own S3 buckets using the manual snapshot process. The snapshots stored in your S3 bucket will not be affected if you delete your Amazon Elasticsearch Service domain.
Q: What types of Elasticsearch logs are exposed by Amazon Elasticsearch Service?
Amazon Elasticsearch Service exposes three Elasticsearch logs through Amazon CloudWatch Logs: error logs, search slow logs, and index slow logs. These logs are useful for troubleshooting performance and stability issues with one’s domain.
Q: What are slow logs?
Slow logs are log files that help track the performance of various stages in an operation. Elasticsearch exposes two kinds of slow logs:
- Index Slow Logs – These logs provide insights into the indexing process and can be used to fine-tune the index setup.
- Search Slow Logs – These logs provide insights into how fast or slow queries and fetches are performing. These logs help fine tune the performance of any kind of search operation on Elasticsearch.
For complete details on Elasticsearch slow logs, please refer to Elasticsearch documentation.
Q: Does turning on slow logs in Amazon Elasticsearch Service automatically enable logging for all indexes?
No. Turning on slow logs in Amazon Elasticsearch Service enables the option to publish the generated logs to Amazon CloudWatch Logs for indices in the given domain. However, in order to generate the logs you have to update the settings for one or more indices to start the logging process. For more details on setting the index configuration for enabling slow logs, please refer to our documentation.
Q: If I turn off the slow logs in Amazon Elasticsearch Service, does it mean that log files are no longer being generated?
No. The generation of log files are dependent on the index settings. To turn off generation of the log files you have to update the index configuration. For more details on setting the index configuration for enabling slow logs, see our documentation.
Q: Can I change the granularity of logging?
You can only change the granularity of logging for slow logs. Elasticsearch exposes multiple levels of logging for slow logs. You need to set the appropriate level in the configuration of your index. For more details on setting the index configuration for enabling slow logs, please refer to Elasticsearch documentation.
Q: Will enabling slow logs or error logs cost me anything?
When slow logs or error logs are enabled, Amazon Elasticsearch Service starts publishing the generated logs to CloudWatch Logs. Amazon Elasticsearch Service does not charge anything for enabling the logs. However, standard CloudWatch charges will apply.
Q: What kinds of error logs are exposed by Amazon Elasticsearch Service?
Elasticsearch uses Apache Log4j 2 and its built-in log levels (from least to most severe) of TRACE, DEBUG, INFO, WARN, ERROR, and FATAL. If you enable error logs, Amazon Elasticsearch Service publishes log lines of WARN, ERROR, and FATAL, and select errors from the DEBUG level to CloudWatch. For more details, refer our documentation.
Q: Can I enable error logs for only specific indices?
No, error logs are exposed for the entire domain. That is, once enabled, log entries from all indices in the domain will be made available.
Q: Are error logs available for all versions of Elasticsearch supported by Amazon Elasticsearch Service?
No, error logs are available only for Elasticsearch versions 5.x and above.
Q: Is there any limit on the size of each log entry?
Yes. Each log entry made into CloudWatch will be limited to 255,000 characters. If your log entry is bigger than that, it will be truncated to 255,000 characters.
Q: What is the recommended best practice for using slow logs?
Slow logs are only needed when you want to troubleshoot your indexes or fine-tune performance. The recommended approach is to only enable logging for those indexes for which you need additional performance insights. Also, once the investigation is done, you should turn off logging so that you don’t incur any additional costs on account of it. For more details, see our documentation.
Q: Are slow logs available for all versions of Elasticsearch supported by Amazon Elasticsearch Service?
Yes. slow logs can be enabled for all versions of Elasticsearch supported by Amazon Elasticsearch Service. However, there are slight differences in the way log settings can be specified for each version of Elasticsearch. Please refer to our documentation for more details.
Q: Will the cluster have any down time when logging is turned on or off?
No. There will not be any down-time. Every time the log status is updated, we will deploy a new cluster in the background and replace the existing cluster with the new one. This process will not cause any down time. However, since a new cluster is deployed the update to the log status will not be instantaneous.
Q: Which Elasticsearch versions does the in-place upgrade feature support?
Amazon Elasticsearch Service currently supports in-place version upgrade for domains with Elasticsearch versions 5.x and above. The target versions that we support for the upgrade are 5.6 and 6.3. For more details refer our documentation.
Q: Will my domain be offline while the in-place upgrade is in progress?
No. Your domain remains available throughout the upgrade process. However, part of the upgrade process involves relocating shards, which can impact domain performance. We recommend upgrading when the load on your domain is low.
Q: How can I check if my domain’s Elasticsearch version can be upgraded?
In-place version upgrade is available only for domains running Elasticsearch 5.x and above. If your domain is of version 5.x or above, you can run the upgrade eligibility check to validate whether your domain can be upgraded to the desired version. Please refer to our documentation to learn more.
Q: Can I update my domain configuration while the version upgrade is in progress?
No. Once the in-place version upgrade has been triggered, you cannot make changes to your domain configuration until the upgrade completes or fails. You can continue reading and writing data while the upgrade is in progress. Also, you can delete the domain, in which case the upgrade is terminated and the domain deleted.
Q: What happens to the automated system snapshot when the in-place version upgrade is in progress?
The version upgrade process automatically takes a snapshot of the system and only starts the actual upgrade if the snapshot succeeds. If the upgrade is in progress when the automated snapshot’s start time is reached, the automated snapshot is skipped for that day and continued on the next day.
Q: How does Amazon Elasticsearch Service safeguard against issues that can crop up during version upgrades?
Amazon Elasticsearch Service runs a set of tests before triggering the upgrade to check for known issues that can block the upgrade. If no issues are encountered, the service takes a snapshot of the domain and starts the upgrade process if the snapshot is successful. The upgrade is not triggered if there are any issues encountered with any of the steps.
Q: What happens if the system encounters issues while performing the in-place version upgrade?
If encountered issues are minor and fixable, Amazon Elasticsearch Service automatically tries to address them and unblock the upgrade. However, if an issue blocks the upgrade, the service reverts back to the snapshot that was taken before the upgrade and logs the error. For more details on viewing the logs from the upgrade progress, please refer to our documentation.
Q: Can I pause or cancel the version upgrade after it has been triggered?
No. After the upgrade has been triggered, it cannot be paused or cancelled until it either completes or fails.
Q: Can I run in-place version upgrade on multiple domains in parallel?
Yes. However, if you want to keep all of your domains on the same version, we recommend running the upgrade eligibility check on all domains before upgrading them. This extra step can help catch issues with one domain that might not be present on others.
Q: How long does the in-place version upgrade take?
Depending on the amount of data and the size of the cluster, upgrades can take anywhere from a few minutes to a few hours to complete.
Q: Can I just upgrade the domain quickly without retaining any of the data?
No. With in-place version upgrade, all the data in your cluster is also restored as part of the upgrade process. If you only wish to upgrade the domain alone, you can take a snapshot of your data, delete all your indexes from the domain and then trigger an in-place version upgrade. Alternatively, you can create a separate domain with the newer version and then restore your data to that domain.
Q: Can I downgrade to previous version if I’m not comfortable with the new version?
No. If you need to downgrade to an older version, you must take a snapshot of your upgraded domain and restore it to a domain that uses the older Elasticsearch version.
Q: How can I secure my Amazon Elasticsearch Service domain?
If you use VPC to secure your applications, data, and network traffic, you can set up VPC access for Amazon Elasticsearch Service, which allows you to control network access using your VPC security groups. You can also use IAM-based policies to provide fine-grained access control to which IAM roles can perform administrative tasks, use the Elasticsearch APIS and have access to the resources in the domain down to the index-level.
If you want to make your Amazon Elasticsearch Service domain accessible from the Internet, you can specify public access. With public access, you can control access to the endpoint by IP address and require authentication using IAM roles. IAM policies can control access to Amazon Elasticsearch Service domains and sub resources like indices within the domains.
With Amazon Cognito, you can also allow your end-users to log-in to Kibana through enterprise identity providers such as Microsoft Active Directory using SAML 2.0, and through social identity providers such as Google, Facebook, and Amazon. You can also set up a secure, scalable, and simplified sign-up experience using Amazon Cognito User Pools. Once you sign-in, Amazon Cognito establishes a session using the appropriate AWS Identity and Access Management (IAM) role, which provides access to the Amazon Elasticsearch Service domain.
IAM policies can also be set up to control access to the management API for operations such as creating and scaling clusters and Elasticsearch API for operations like uploading documents and executing Elasticsearch requests.
Q: Can I encrypt my data at rest while using Amazon Elasticsearch Service?
Amazon Elasticsearch Service provides an option that allows you to encrypt your data using keys you manage through AWS Key Management Service (KMS). If enabled, all of your data stored at rest in the underlying storage systems are encrypted, including primary and replica indices, log files, memory swap files, and automated S3 snapshots. Amazon Elasticsearch Service handles encryption and decryption seamlessly, so you don’t have to modify your application to access your data. You can choose to enable encryption when you create new domains via the AWS Management Console or API. Amazon Elasticsearch Service can create a KMS master key for you, or you can choose one of your own. Encryption at rest supports both Amazon Elastic Block Store (EBS) and instance storage.
For more information about the use of AWS KMS with Amazon Elasticsearch Service, see the Amazon Elasticsearch Service Developer Guide.
Q: Can I encrypt traffic in-flight including between nodes within the cluster?
Amazon Elasticsearch Service provides support for HTTPS for encrypting communications between the client and the domain endpoint. You can enable node-to-node encryption to get an additional layer of security by implementing TLS for all communications between instances in the Elasticsearch domain. Node-to-node encryption ensures that any data you send to your Amazon Elasticsearch Service domain over HTTPS remains encrypted in-flight while it is being distributed and replicated between the nodes. Node-to-node encryption complements the default network-level security and isolation the service provides for node-to-node communication. All certificates are deployed and rotated automatically throughout the life of the domain, without any additional operational overhead.
For more information about the use of node-to-node encryption, see the Amazon Elasticsearch Service Developer Guide.
Q: How can I set up the VPC access for Amazon Elasticsearch Service?
You configure VPC access when creating an Amazon Elasticsearch Service domain. The VPC access can be set up via a few clicks in the console or via our CLI and APIs. For more details, see the Amazon Elasticsearch Service developer guide.
Q: If I set up VPC access for my Amazon Elasticsearch Service domain, how can I access Kibana?
When VPC access is enabled, the endpoint for Amazon Elasticsearch Service is only accessible within the customer VPC. To use your laptop to access Kibana from outside the VPC, you need to connect the laptop to the VPC using VPN or VPC Direct Connect.
On-Demand Instance pricing
Q: How will I be charged and billed for my use of Amazon Elasticsearch Service?
You pay only for what you use, and there are no minimum or setup fees. You are billed based on:
- Amazon Elasticsearch Service instance hours – Based on the class (e.g. Standard Small, Large, Extra Large) of the Amazon Elasticsearch Service instance consumed. Partial Amazon Elasticsearch Service instance hours consumed are billed as full hours.
- Storage (per GB per month) – Amazon EBS Storage capacity you have provisioned to your Amazon Elasticsearch Service instance. If you scale your provisioned storage capacity within the month, your bill will be pro-rated.
- Provisioned IOPS per month – Amazon EBS Provisioned IOPS rate, regardless of IOPS consumed (for Amazon Elasticsearch Service Provisioned IOPS (SSD) Storage only).
- Data transfer – Regular AWS data transfer charges apply.
Please refer to the Amazon Elasticsearch Service pricing page for detailed pricing information.
Q: When does billing of my Amazon Elasticsearch Service domain begin and end?
Billing commences for an Amazon Elasticsearch Service instance as soon as the instance is available. Billing continues until the Amazon Elasticsearch Service instance terminates, which would occur upon deletion or in the event of instance failure.
Q: What defines billable instance hours for Amazon Elasticsearch Service?
Amazon Elasticsearch Service instance hours are billed for each hour your instance is running in an available state. If you no longer wish to be charged for your Amazon Elasticsearch Service instance, you must delete the domain to avoid being billed for additional instance hours. Partial Amazon Elasticsearch Service instance hours consumed are billed as full hours.
Reserved Instance pricing
Q: What is a Reserved Instance (RI)?
Amazon Elasticsearch Service Reserved Instances give you the option to reserve an instance for a one- or three-year term, and in turn receive significant savings compared to the On-Demand Instance pricing.
Q: How are Reserved Instances different from On-Demand Instances?
Functionally, Reserved Instances and On-Demand Instances are exactly the same. The only difference is how your instance(s) are billed. With Reserved Instances, you purchase a one- or three-year reservation and receive a lower effective hourly usage rate (compared to On-Demand Instances) for the duration of the term. Unless you purchase Reserved Instances in a Region, all instances in that Region are billed at On-Demand Instance hourly rates.
Q: What are the payment options for Reserved Instances?
Three options are available:
- No Upfront Reserved Instances (NURI) – NURIs offer significant savings compared to On-Demand Instance prices. You pay nothing upfront, but commit to paying for the Reserved Instance over the course of the one- or three-year term.
- Partial Upfront Reserved Instances (PURI) – PURIs offer higher savings than NURIs. You pay for a portion of the total cost upfront, and the remainder over the course of the term. This option balances payments between upfront and hourly.
- All Upfront Reserved Instances (AURI) – AURIs offer the highest savings of all of the Reserved Instance payment options. You pay for the entire reservation with one upfront payment, and pay nothing on an hourly basis.
Q: How do I purchase Reserved Instances?
You purchase Reserved Instances in the "Reserved Instance" section of the AWS Management Console for Amazon Elasticsearch Service. Alternatively, you can use the Amazon Elasticsearch Service API or AWS Command Line Interface to list and purchase Reserved Instances.
Once you purchase a Reserved Instance, you can use it just like an On-Demand Instance. As long as the purchased reservation is active, Amazon Elasticsearch Service applies the reduced hourly rate to it.
Q: Are Reserved Instances specific to an Availability Zone?
Amazon Elasticsearch Service Reserved Instances are purchased for a Region rather than for a specific Availability Zone. After you purchase a Reserved Instance for a Region, the discount applies to matching usage in any Availability Zone within that Region.
Q: How many Reserved Instances can I purchase?
You can procure up to 100 Reserved Instances in a single purchase. If you need more Reserved Instances, you need to place more purchase requests.
Q: Do Reserved Instances include a capacity reservation?
Amazon Elasticsearch Service Reserved Instances are purchased for a Region rather than for a specific Availability Zone. Hence, they are not capacity reservations. Even if capacity is limited in one Availability Zone, Reserved Instances can still be purchased in the Region. The discount applies to matching usage in any Availability Zone within that Region.
Q: What if I have an existing On-Demand Instance that I’d like to convert to a Reserved Instance?
Simply purchase a Reserved Instance of the same type as the existing On-Demand Instance. If the Reserved Instance purchase succeeds, Amazon Elasticsearch Service automatically applies the new hourly usage charge for the duration of your reservation.
Q: If I sign up for a Reserved Instance, when does the term begin? What happens to my Reserved Instance when the term ends?
Pricing changes and the reservation term associated with your Reserved Instance become active after your request is received and the payment authorization is processed. If the one-time payment (if applicable) or new hourly rate (if applicable) cannot be successfully authorized by the next billing period, the discounted price does not take effect and your term does not begin. You can follow the status of your reservation using the console, API, or CLI. For more details, refer our documentation.
When your Reserved Instance term expires, your Reserved Instance reverts to the appropriate On-Demand Instance hourly usage rate for your instance class and Region.
Q: How do I control which instances are billed at the Reserved Instance rate?
When computing your bill, our system automatically applies your reservation(s) such that all eligible instances are charged at the lower hourly Reserved Instance rate. Amazon Elasticsearch Service does not distinguish between On-Demand and Reserved Instances while operating Elasticsearch Service domains.
Q: If I scale my Reserved Instance up or down, what happens to my reservation?
Each Reserved Instance is associated with the instance type and Region that you picked for it. If you change the instance type in the Region where you have the Reserved Instance, you will not receive discounted pricing. You must ensure that your reservation matches the instance type you plan to use. For more details, please refer to Amazon Elasticsearch Service Reserved Instance Documentation.
Q: Can I move a Reserved Instance from one Region or Availability Zone to another?
Each Reserved Instance is associated with a specific Region, which is fixed for the lifetime of the reservation and cannot be changed. Each Reserved Instance can, however, be used in any of the Availability Zones within the associated Region.
Q: Are Reserved Instances applicable if I turn on zone awareness, which involves multi-Availability Zone deployments?
A Reserved Instance is for a Region and can be used in any of the Availability Zones in that Region.
Q: Are Reserved Instances available for both Master nodes and Data nodes?
Yes. Amazon Elasticsearch Service does not differentiate between Master and Data nodes when applying Reserved Instance discounts.
Q: Can I cancel a Reserved Instance?
No, you cannot cancel your Reserved Instances, and the one-time payment (if applicable) and discounted hourly usage rate (if applicable) are not refundable. Also, you cannot transfer the Reserved Instance to another account. You must pay for every hour during your Reserved Instance’s term, regardless of your usage.
Q: If AWS reduces prices of On-Demand Instances for Amazon Elasticsearch Service, will the amount I pay for my current Reserved Instances change?
No. The price you pay for already-purchased Reserved Instances does not change for the term of the reservation.
Q: Can I sell my Reserved Instances on the Reserved Instance Marketplace?
No. Reserved Instances purchased on Amazon Elasticsearch Service cannot be sold on the Reserved Instance Marketplace.
Q: Are volume discounts available for Reserved Instance purchase?
No. We do not offer volume discounts for Amazon Elasticsearch Service Reserved Instances.