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*[**Elastic Cloud**](/deploy-manage/deploy/elastic-cloud.md): Get a hosted solution up and running in minutes.
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*[**Elastic Cloud Hosted**](/deploy-manage/deploy/elastic-cloud/cloud-hosted.md): Our hosted Elastic Stack offering, deployed in the cloud with your provider of choice. Sign up for a [14-day free trial](https://cloud.elastic.co/registration).
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*[**Elastic Cloud Serverless**](/deploy-manage/deploy/elastic-cloud/serverless.md): Create serverless projects for autoscaled and fully managed Elastic deployments. Sign up for a [14-day free trial](https://cloud.elastic.co/serverless-registration).
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*[**Local development**](/solutions/search/run-elasticsearch-locally.md): Get started quickly with {{es}} and {{kib}} in Docker for local development and testing.
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**Advanced options**
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*[**Self-managed**](/deploy-manage/deploy/self-managed.md): Install, configure, and run Elastic on your own premises.
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*[**Elastic Cloud Enterprise**](https://www.elastic.co/guide/en/cloud-enterprise/current/Elastic-Cloud-Enterprise-overview.html): Deploy Elastic Cloud on public or private clouds, virtual machines, or your own premises.
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*[**Elastic Cloud on Kubernetes**](/deploy-manage/deploy/cloud-on-k8s.md): Deploy Elastic Cloud on Kubernetes.
Whether you're planning to use Elastic's pre-built solutions or Serverless projects, build your own applications with {{es}}, or analyze your data using {{kib}} tools, you'll need to deploy Elastic first.
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This page will help you understand your deployment options and choose the approach that best fits your needs.
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## Core components
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Every Elastic deployment requires {{es}} as its core data store and search/analytics engine.
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Additionally, {{kib}} provides the user interface for all Elastic solutions and Serverless projects. It is required for most use cases, from data exploration to monitoring and security analysis.
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Your choice of deployment type determines how you'll set up and manage these core components, plus any additional components you need.
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:::{tip}
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Learn more about the [{{stack}}](/get-started/the-stack.md) to understand the core and optional components of an Elastic deployment.
If you want to focus on using Elastic products rather than managing infrastructure, choose:
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-**Serverless**: Zero operational overhead, automatic scaling and updates, latest features
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-**Cloud hosted**: Balance of control and managed operations, choice of resources and regions
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#### Self-hosted options
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If you need to run Elastic on your infrastructure, choose between a fully self-managed deployment or using an orchestrator:
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-**Fully self-managed**: Complete control and responsibility for your Elastic deployment
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-**With orchestration**:
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-**Elastic Cloud on Kubernetes (ECK)**: If you need Kubernetes-native orchestration
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-**Elastic Cloud Enterprise (ECE)**: If you need a multi-tenant orchestration platform
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:::::{note}
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:::{dropdown} About orchestration
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An orchestrator automates the deployment and management of multiple Elastic clusters, handling tasks like scaling, upgrades, and monitoring.
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Consider orchestration if you:
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- Need to manage multiple Elastic clusters
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- Want automated operations at scale
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- Have a Kubernetes environment (ECK)
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- Need to build a multi-tenant platform (ECE)
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Orchestrators manage the lifecycle of your Elastic deployments but don't change how the core products work. When using ECK or ECE:
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- You'll still use the same Elasticsearch and Kibana features and configurations
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- Most product documentation remains applicable
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- You can add other Elastic products as needed
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- The orchestrator handles operational tasks while you focus on using and configuring the products
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::::{tip}
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Documentation will specify when certain features or configurations are not applicable to specific deployment types.
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::::
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:::
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:::::
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### Versioning and compatibility
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In {{serverless-full}}, you automatically get access to the latest versions of Elastic features and you don't need to manage version compatibility.
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With other deployment types ({{ecloud}} Hosted, ECE, and ECK), you control which {{stack}} versions you deploy and when you upgrade. The ECE and ECK orchestrators themselves also receive regular version updates, independent of the {{stack}} versions they manage.
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Consider this when choosing your deployment type:
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- Choose Serverless if you want automatic access to the latest features and don't want to manage version compatibility
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- Choose other deployment types if you need more control over version management
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:::{tip}
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Learn more about [versioning and availability](/get-started/versioning-availability.md).
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:::
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### Cost considerations
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The documentation team is working to combine content pulled from the following pages:
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-**Serverless**: Pay for what you use
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-**Cloud hosted**: Subscription-based with resource allocation
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-**Self-hosted options**: Infrastructure costs plus operational overhead mean a higher total cost of ownership (TCO)
For a detailed comparison of features and capabilities across deployment types, see the [Deployment comparison reference](./deploy/deployment-comparison.md).
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Operations that reduce the number of nodes in the cluster cannot make progress without user intervention, if the Elasticsearch index replica settings are incompatible with the intended downscale. Specifically, if the Elasticsearch index settings demand a higher number of shard copies than data nodes in the cluster after the downscale operation, ECK cannot migrate the data away from the node about to be removed. You can address this in the following ways:
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* Adjust the Elasticsearch [index settings](https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-indices-put-settings) to a number of replicas that allow the desired node removal.
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* Use [`auto_expand_replicas`](asciidocalypse://docs/elasticsearch/docs/reference/elasticsearch/index-settings/index.md#dynamic-index-settings) to automatically adjust the replicas to the number of data nodes in the cluster.
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* Use [`auto_expand_replicas`](asciidocalypse://docs/elasticsearch/docs/reference/elasticsearch/index-settings/index-modules.md) to automatically adjust the replicas to the number of data nodes in the cluster.
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## Advanced control during rolling upgrades [k8s-advanced-upgrade-control]
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For more information, check the Elasticsearch documentation on [Virtual memory](/deploy-manage/deploy/self-managed/vm-max-map-count.md).
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Optionally, you can select a different type of file system implementation for the storage. For possible options, check the [store module documentation](asciidocalypse://docs/elasticsearch/docs/reference/elasticsearch/index-settings/index-store-settings.md).
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Optionally, you can select a different type of file system implementation for the storage. For possible options, check the [store module documentation](asciidocalypse://docs/elasticsearch/docs/reference/elasticsearch/index-settings/store.md).
This reference provides detailed comparisons of features and capabilities across Elastic's deployment options: self-managed deployments, Elastic Cloud Hosted, and Serverless. For a high-level overview of deployment types and guidance on choosing between them, see the [overview](../deploy.md).
In {{es-serverless}}, you can only configure [index-level settings](asciidocalypse://docs/elasticsearch/docs/reference/elasticsearch/index-settings/index.md#index-modules-settings). Cluster-level settings and node-level settings are not required by end users and the `elasticsearch.yml` file is fully managed by Elastic.
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In {{es-serverless}}, you can only configure [index-level settings](asciidocalypse://docs/elasticsearch/docs/reference/elasticsearch/index-settings/index.md). Cluster-level settings and node-level settings are not required by end users and the `elasticsearch.yml` file is fully managed by Elastic.
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Available settings
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: **Index-level settings**: Settings that control how {{es}} documents are processed, stored, and searched are available to end users. These include:
@@ -146,24 +146,12 @@ The following features are planned for future support in all {{serverless-full}}
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* Clone index API
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* Traffic filtering and VPCs
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The following {{es-serverless}} project-specific features are planned for future support:
You can use the [self-managed web crawler](https://github.com/elastic/crawler) in the meantime.
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* Managed Search connectors
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You can use [self-managed Search connectors](asciidocalypse://docs/elasticsearch/docs/reference/ingestion-tools/search-connectors/self-managed-connectors.md) in the meantime.
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### Unplanned features [elasticsearch-differences-serverless-feature-unavailable]
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The following features are not available in {{es-serverless}} and are not planned for future support:
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*[Custom plugins and bundles](/deploy-manage/deploy/elastic-cloud/upload-custom-plugins-bundles.md)
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*[{{es}} for Apache Hadoop](asciidocalypse://docs/elasticsearch-hadoop/docs/reference/ingestion-tools/elasticsearch-hadoop/elasticsearch-for-apache-hadoop.md)
* Managed web crawler: You can use the [self-managed web crawler](https://github.com/elastic/crawler) instead.
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* Managed Search connectors: You can use [self-managed Search connectors](asciidocalypse://docs/elasticsearch/docs/reference/ingestion-tools/search-connectors/self-managed-connectors.md) instead.
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# Self-managed cluster [dependencies-versions]
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See [Elastic Stack Third-party Dependencices](https://artifacts.elastic.co/reports/dependencies/dependencies-current.md) for the complete list of dependencies for {{es}}.
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See [Elastic Stack Third-party Dependencices](https://artifacts.elastic.co/reports/dependencies/dependencies-current.md) for the complete list of dependencies for {{es}}.
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Continuing from the previous [point](max-size-virtual-memory-check.md), to use `mmap` effectively, Elasticsearch also requires the ability to create many memory-mapped areas. The maximum map count check checks that the kernel allows a process to have at least 262,144 memory-mapped areas and is enforced on Linux only. To pass the maximum map count check, you must configure `vm.max_map_count` via `sysctl` to be at least `262144`.
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Alternatively, the maximum map count check is only needed if you are using `mmapfs` or `hybridfs` as the [store type](asciidocalypse://docs/elasticsearch/docs/reference/elasticsearch/index-settings/index-store-settings.md) for your indices. If you [do not allow](asciidocalypse://docs/elasticsearch/docs/reference/elasticsearch/index-settings/index-store-settings.md#allow-mmap) the use of `mmap` then this bootstrap check will not be enforced.
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Alternatively, the maximum map count check is only needed if you are using `mmapfs` or `hybridfs` as the [store type](asciidocalypse://docs/elasticsearch/docs/reference/elasticsearch/index-settings/store.md) for your indices. If you [do not allow](asciidocalypse://docs/elasticsearch/docs/reference/elasticsearch/index-settings/store.md#allow-mmap) the use of `mmap` then this bootstrap check will not be enforced.
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Elasticsearch offers a deprecated setting that allows you to specify multiple paths in `path.data`. To learn about this setting, and how to migrate away from it, refer to [Multiple data paths](asciidocalypse://docs/elasticsearch/docs/reference/elasticsearch/index-settings/path-settings.md#multiple-data-paths).
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Elasticsearch offers a deprecated setting that allows you to specify multiple paths in `path.data`. To learn about this setting, and how to migrate away from it, refer to [Multiple data paths](asciidocalypse://docs/elasticsearch/docs/reference/elasticsearch/index-settings/path.md#multiple-data-paths).
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