Join us on YugabyteDB Community Slack
Star us on
Get Started
Slack
GitHub
Get Started
v2.13 (preview) v2.12 (stable) v2.8 (earlier version) v2.6 (earlier version) v2.4 (earlier version) Unsupported versions
  • YUGABYTEDB CORE
    • Quick start
      • 1. Install YugabyteDB
      • 2. Create a local cluster
      • 3. Explore distributed SQL
      • 4. Build an application
        • Java
        • Node.js
        • Go
        • Python
        • Ruby
        • C#
        • PHP
        • C++
        • C
        • Scala
        • Rust
    • Explore
      • SQL features
        • SQL Feature Support
        • PostgreSQL Compatibility
        • Foreign Data Wrappers
        • Schemas and Tables
        • Data Types
        • Data Manipulation
        • Queries and Joins
        • Expressions and Operators
        • Stored Procedures
        • Triggers
        • Advanced features
          • Cursors
          • Table Partitioning
          • Views
          • Savepoints
          • Collations
        • Going beyond SQL
          • Follower reads
          • Tablespaces
        • PostgreSQL extensions
      • Fault tolerance
      • Horizontal scalability
        • Scaling Transactions
        • Sharding Data
      • Transactions
        • Distributed Transactions
        • Isolation Levels
        • Explicit Locking
      • Indexes and Constraints
        • Primary keys
        • Foreign keys
        • Secondary indexes
        • Unique indexes
        • Partial indexes
        • Expression indexes
        • Covering indexes
        • GIN indexes
        • Other constraints
      • JSON support
      • Multi-region deployments
        • Sync replication (3+ regions)
        • Async Replication (2+ regions)
        • Row-Level Geo-Partitioning
        • Read replicas
      • Query tuning
        • Introduction
        • Get query statistics using pg_stat_statements
        • Viewing live queries with pg_stat_activity
        • Analyzing queries with EXPLAIN
        • Optimizing YSQL queries using pg_hint_plan
      • Cluster management
        • Point-in-time recovery
      • Change data capture (CDC)
        • Debezium connector
        • Java CDC console
      • Security
      • Observability
        • Prometheus Integration
        • Grafana Dashboard
    • Drivers and ORMs
      • Java
        • JDBC drivers
        • Hibernate ORM
        • Supported versions
      • Go
        • Go drivers
        • Go ORMs
        • Supported versions
      • C#
        • C# drivers
        • C# ORMs
        • Supported versions
      • NodeJS
        • NodeJS drivers
        • NodeJS ORMs
        • Supported Versions
      • Python
        • Python drivers
        • Python ORMs
        • Supported versions
    • Develop
      • Learn app development
        • 1. SQL vs NoSQL
        • 2. Data modeling
        • 3. Data types
        • 4. ACID transactions
        • 5. Aggregations
        • 6. Batch operations
        • 7. Date and time
        • 8. Strings and text
        • 9. TTL for data expiration
      • Real-world examples
        • E-Commerce app
        • IoT fleet management
      • Explore sample apps
      • Best practices
      • Cloud-native development
        • Codespaces
        • Gitpod
    • Migrate
      • Migration process overview
      • Migrate from PostgreSQL
        • Convert a PostgreSQL schema
        • Migrate a PostgreSQL application
        • Export PostgreSQL data
        • Prepare a cluster
        • Import PostgreSQL data
        • Verify Migration
    • Deploy
      • Deployment checklist
      • Manual deployment
        • 1. System configuration
        • 2. Install software
        • 3. Start YB-Masters
        • 4. Start YB-TServers
        • 5. Verify deployment
      • Kubernetes
        • Single-zone
          • Open Source
          • Amazon EKS
          • Google Kubernetes Engine
          • Azure Kubernetes Service
        • Multi-zone
          • Amazon EKS
          • Google Kubernetes Engine
        • Multi-cluster
          • Google Kubernetes Engine
        • Best practices
        • Connect Clients
      • Docker
      • Public clouds
        • Amazon Web Services
        • Google Cloud Platform
        • Microsoft Azure
      • Multi-DC deployments
        • Three+ data center (3DC)
        • Asynchronous Replication
        • Read replica clusters
    • Benchmark
      • TPC-C
      • sysbench
      • YCSB
      • Key-value workload
      • Large datasets
      • Scalability
        • Scaling queries
      • Resilience
        • Jepsen testing
      • Performance Troubleshooting
    • Secure
      • Security checklist
      • Enable Authentication
        • Enable User Authentication
        • Configure ysql_hba_conf_csv
      • Authentication Methods
        • Password Authentication
        • LDAP Authentication
        • Host-Based Authentication
        • Trust Authentication
      • Role-Based Access Control
        • Overview
        • Manage Users and Roles
        • Grant Privileges
        • Row-Level Security (RLS)
        • Column-Level Security
      • Encryption in Transit
        • Create server certificates
        • Enable server-to-server encryption
        • Enable client-to-server encryption
        • Connect to Clusters
        • TLS and authentication
      • Encryption at rest
      • Column-level encryption
      • Audit Logging
        • Configure Audit Logging
        • Session-Level Audit Logging
        • Object-Level Audit Logging
      • Vulnerability disclosure policy
    • Manage
      • Back up and restore
        • Back up data
        • Restore data
        • Point-in-time recovery
        • Snapshot and restore data
      • Migrate data
        • Bulk import
        • Bulk export
      • Change cluster configuration
      • Diagnostics reporting
      • Upgrade a deployment
      • Grow cluster
    • Troubleshoot
      • Troubleshooting
      • Cluster level issues
        • YCQL connection issues
        • YEDIS connection Issues
        • Recover tserver/master
        • Replace a failed YB-TServer
        • Replace a failed YB-Master
        • Manual remote bootstrap when a majority of peers fail
      • Node level issues
        • Check servers
        • Inspect logs
        • System statistics
        • Disk failure
        • Common error messages
    • Contribute
      • Core database
        • Contribution checklist
        • Build the source
        • Configure a CLion project
        • Run the tests
        • Coding style
  • YUGABYTEDB ANYWHERE
    • Overview
      • Install
      • Configure
    • Install YugabyteDB Anywhere
      • Prerequisites
      • Prepare the environment
      • Install software
      • Prepare nodes (on-premises)
      • Uninstall software
    • Configure YugabyteDB Anywhere
      • Create admin user
      • Configure the cloud provider
      • Configure the backup target
      • Configure alerts
    • Create deployments
      • Multi-zone universe
      • Multi-region universe
      • Multi-cloud universe
      • Read replica cluster
      • Asynchronous replication
    • Manage deployments
      • Start and stop processes
      • Eliminate an unresponsive node
      • Recover a node
      • Enable high availability
      • Edit configuration flags
      • Edit a universe
      • Delete a universe
      • Configure instance tags
      • Upgrade YugabyteDB software
      • Migrate to Helm 3
    • Back up universes
      • Configure backup storage
      • Back up universe data
      • Restore universe data
      • Schedule data backups
    • Security
      • Security checklist
      • Customize ports
      • LDAP authentication
      • Authorization
      • Create a KMS configuration
      • Enable encryption at rest
      • Enable encryption in transit (TLS)
      • Network security
    • Alerts and monitoring
      • Alerts
      • Live Queries dashboard
      • Slow Queries dashboard
    • Troubleshoot
      • Install and upgrade issues
      • Universe issues
    • Administer YugabyteDB Anywhere
      • Back up YugabyteDB Anywhere
      • Authenticate with LDAP
    • Upgrade YugabyteDB Anywhere
      • Upgrade using Replicated
  • YUGABYTEDB MANAGED
    • Overview
    • Quick start
      • Create a free cluster
      • Connect to the cluster
      • Explore distributed SQL
      • Build an application
        • Before you begin
        • Java
        • Go
        • Python
        • Node.js
        • C
        • C++
        • C#
        • Ruby
        • Rust
        • PHP
    • Deploy clusters
      • Planning a cluster
      • Create a free cluster
      • Create a standard cluster
      • VPC network
        • Overview
        • Set up a VPC network
        • VPCs
        • Peering Connections
    • Secure clusters
      • IP allow lists
      • Database authorization
      • Add database users
      • Encryption in transit
      • Audit account activity
    • Connect to clusters
      • Cloud Shell
      • Client shell
      • Connect applications
    • Alerts and monitoring
      • Alerts
      • Performance metrics
      • Live queries
      • Slow YSQL queries
      • Cluster activity
    • Manage clusters
      • Scale and configure clusters
      • Backup and restore
      • Maintenance windows
      • Create extensions
    • Administration and billing
      • Manage account access
      • Manage billing
      • Cluster costs
    • Example applications
      • Connect a Spring application
      • Connect a YCQL Java application
      • Hasura Cloud
      • Deploy a GraphQL application
    • Security architecture
      • Security architecture
      • Shared responsibility model
    • Troubleshoot
    • YugabyteDB Managed FAQ
    • What's new
  • INTEGRATIONS
    • Apache Kafka
    • Apache Spark
    • Debezium
    • Django REST framework
    • Entity Framework
    • Flyway
    • GORM
    • Hasura
      • Application Development
      • Benchmarking
    • JanusGraph
    • KairosDB
    • Liquibase
    • Metabase
    • Presto
    • Prisma
    • Sequelize
    • Spring Framework
      • Spring Data YugabyteDB
      • Spring Data JPA
      • Spring Data Cassandra
    • SQLAlchemy
    • WSO2 Identity Server
    • YSQL Loader
    • YugabyteDB JDBC driver
  • REFERENCE
    • Architecture
      • Design goals
      • Key concepts
        • Universe
        • YB-TServer Service
        • YB-Master Service
      • Core functions
        • Universe creation
        • Table creation
        • Write IO path
        • Read IO path
        • High availability
      • Layered architecture
      • Query layer
        • Overview
      • DocDB transactions layer
        • Transactions overview
        • Transaction isolation levels
        • Explicit locking
        • Read Committed
        • Single-row transactions
        • Distributed transactions
        • Transactional IO path
      • DocDB sharding layer
        • Hash & range sharding
        • Tablet splitting
        • Colocated tables
      • DocDB replication layer
        • Replication
        • xCluster replication
        • Read replicas
        • Change data capture (CDC)
      • DocDB storage layer
        • Persistence
        • Performance
    • APIs
      • YSQL
        • The SQL language
          • SQL statements
            • ABORT
            • ALTER DATABASE
            • ALTER DEFAULT PRIVILEGES
            • ALTER DOMAIN
            • ALTER FOREIGN DATA WRAPPER
            • ALTER FOREIGN TABLE
            • ALTER GROUP
            • ALTER POLICY
            • ALTER ROLE
            • ALTER SEQUENCE
            • ALTER SERVER
            • ALTER TABLE
            • ALTER USER
            • ANALYZE
            • BEGIN
            • CALL
            • COMMENT
            • COMMIT
            • COPY
            • CREATE AGGREGATE
            • CREATE CAST
            • CREATE DATABASE
            • CREATE DOMAIN
            • CREATE EXTENSION
            • CREATE FOREIGN DATA WRAPPER
            • CREATE FOREIGN TABLE
            • CREATE FUNCTION
            • CREATE GROUP
            • CREATE INDEX
            • CREATE MATERIALIZED VIEW
            • CREATE OPERATOR
            • CREATE OPERATOR CLASS
            • CREATE POLICY
            • CREATE PROCEDURE
            • CREATE ROLE
            • CREATE RULE
            • CREATE SCHEMA
            • CREATE SEQUENCE
            • CREATE SERVER
            • CREATE TABLE
            • CREATE TABLE AS
            • CREATE TRIGGER
            • CREATE TYPE
            • CREATE USER
            • CREATE USER MAPPING
            • CREATE VIEW
            • DEALLOCATE
            • DELETE
            • DO
            • DROP AGGREGATE
            • DROP CAST
            • DROP DATABASE
            • DROP DOMAIN
            • DROP EXTENSION
            • DROP FOREIGN DATA WRAPPER
            • DROP FOREIGN TABLE
            • DROP FUNCTION
            • DROP GROUP
            • DROP MATERIALIZED VIEW
            • DROP OPERATOR
            • DROP OPERATOR CLASS
            • DROP OWNED
            • DROP POLICY
            • DROP PROCEDURE
            • DROP ROLE
            • DROP RULE
            • DROP SEQUENCE
            • DROP SERVER
            • DROP TABLE
            • DROP TRIGGER
            • DROP TYPE
            • DROP USER
            • END
            • EXECUTE
            • EXPLAIN
            • GRANT
            • IMPORT FOREIGN SCHEMA
            • INSERT
            • LOCK
            • PREPARE
            • REASSIGN OWNED
            • REFRESH MATERIALIZED VIEW
            • RELEASE SAVEPOINT
            • RESET
            • REVOKE
            • ROLLBACK
            • ROLLBACK TO SAVEPOINT
            • SAVEPOINT
            • SELECT
            • SET
            • SET CONSTRAINTS
            • SET ROLE
            • SET SESSION AUTHORIZATION
            • SET TRANSACTION
            • SHOW
            • SHOW TRANSACTION
            • TRUNCATE
            • UPDATE
            • VALUES
          • WITH clause
            • WITH clause—SQL syntax and semantics
            • recursive CTE
            • case study—traversing an employee hierarchy
            • traversing general graphs
              • graph representation
              • common code
              • undirected cyclic graph
              • directed cyclic graph
              • directed acyclic graph
              • rooted tree
              • Unique containing paths
              • Stress testing find_paths()
            • case study—Bacon Numbers from IMDb
              • Bacon numbers for synthetic data
              • Bacon numbers for IMDb data
        • Data types
          • Array
            • array[] constructor
            • Literals
              • Text typecasting and literals
              • Array of primitive values
              • Row
              • Array of rows
            • FOREACH loop (PL/pgSQL)
            • array of DOMAINs
            • Functions and operators
              • ANY and ALL
              • Array comparison
              • Array slice operator
              • Array concatenation
              • Array properties
              • array_agg(), unnest(), generate_subscripts()
              • array_fill()
              • array_position(), array_positions()
              • array_remove()
              • array_replace() / set value
              • array_to_string()
              • string_to_array()
          • Binary
          • Boolean
          • Character
          • Date and time
            • Conceptual background
            • Timezones and UTC offsets
              • Catalog views
              • Extended_timezone_names
                • Unrestricted full projection
                • Real timezones with DST
                • Real timezones no DST
                • Synthetic timezones no DST
              • Offset/timezone-sensitive operations
                • Timestamptz to/from timestamp conversion
                • Pure 'day' interval arithmetic
              • Four ways to specify offset
                • Name-resolution rules
                  • 1 case-insensitive resolution
                  • 2 ~names.abbrev never searched
                  • 3 'set timezone' string not resolved in ~abbrevs.abbrev
                  • 4 ~abbrevs.abbrev before ~names.name
                  • Helper functions
              • Syntax contexts for offset
              • Recommended practice
            • Typecasting between date-time and text-values
            • Semantics of the date-time data types
              • Date data type
              • Time data type
              • Plain timestamp and timestamptz
              • Interval data type
                • Interval representation
                  • Ad hoc examples
                  • Representation model
                • Interval value limits
                • Declaring intervals
                • Justify() and extract(epoch...)
                • Interval arithmetic
                  • Interval-interval comparison
                  • Interval-interval addition and subtraction
                  • Interval-number multiplication
                  • Moment-moment overloads of "-"
                  • Moment-interval overloads of "+" and "-"
                • Custom interval domains
                • Interval utility functions
            • Typecasting between date-time datatypes
            • Operators
              • Test comparison overloads
              • Test addition overloads
              • Test subtraction overloads
              • Test multiplication overloads
              • Test division overloads
            • General-purpose functions
              • Creating date-time values
              • Manipulating date-time values
              • Current date-time moment
              • Delaying execution
              • Miscellaneous
                • Function age()
                • Function extract() | date_part()
                • Implementations that model the overlaps operator
            • Formatting functions
            • Case study—SQL stopwatch
            • Download & install the date-time utilities
            • ToC
          • JSON
            • JSON literals
            • Primitive and compound data types
            • Code example conventions
            • Indexes and check constraints
            • Functions & operators
              • ::jsonb, ::json, ::text (typecast)
              • ->, ->>, #>, #>> (JSON subvalues)
              • - and #- (remove)
              • || (concatenation)
              • = (equality)
              • @> and <@ (containment)
              • ? and ?| and ?& (key or value existence)
              • array_to_json()
              • jsonb_agg()
              • jsonb_array_elements()
              • jsonb_array_elements_text()
              • jsonb_array_length()
              • jsonb_build_object()
              • jsonb_build_array()
              • jsonb_each()
              • jsonb_each_text()
              • jsonb_extract_path()
              • jsonb_extract_path_text() and json_extract_path_text()
              • jsonb_object()
              • jsonb_object_agg()
              • jsonb_object_keys()
              • jsonb_populate_record()
              • jsonb_populate_recordset()
              • jsonb_pretty()
              • jsonb_set() and jsonb_insert()
              • jsonb_strip_nulls()
              • jsonb_to_record()
              • jsonb_to_recordset()
              • jsonb_typeof()
              • row_to_json()
              • to_jsonb()
          • Money
          • Numeric
          • Range
          • Serial
          • UUID
        • Functions and operators
          • Aggregate functions
            • Informal functionality overview
            • Invocation syntax and semantics
            • grouping sets, rollup, cube
            • Per function signature and purpose
              • avg(), count(), max(), min(), sum()
              • array_agg(), string_agg(), jsonb_agg(), jsonb_object_agg()
              • bit_and(), bit_or(), bool_and(), bool_or()
              • variance(), var_pop(), var_samp(), stddev(), stddev_pop(), stddev_samp()
              • linear regression
                • covar_pop(), covar_samp(), corr()
                • regr_%()
              • mode(), percentile_disc(), percentile_cont()
              • rank(), dense_rank(), percent_rank(), cume_dist()
            • case study—percentile_cont() and the "68–95–99.7" rule
            • case study—linear regression on COVID data
              • Download the COVIDcast data
              • Ingest the COVIDcast data
                • Inspect the COVIDcast data
                • Copy the .csv files to staging tables
                • Check staged data conforms to the rules
                • Join the staged data into a single table
                • SQL scripts
                  • Create cr_staging_tables()
                  • Create cr_copy_from_scripts()
                  • Create assert_assumptions_ok()
                  • Create xform_to_covidcast_fb_survey_results()
                  • ingest-the-data.sql
              • Analyze the COVIDcast data
                • symptoms vs mask-wearing by day
                • Data for scatter-plot for 21-Oct-2020
                • Scatter-plot for 21-Oct-2020
                • SQL scripts
                  • analysis-queries.sql
                  • synthetic-data.sql
          • currval()
          • lastval()
          • nextval()
          • Window functions
            • Informal functionality overview
            • Invocation syntax and semantics
            • Per function signature and purpose
              • row_number(), rank() and dense_rank()
              • percent_rank(), cume_dist() and ntile()
              • first_value(), nth_value(), last_value()
              • lag(), lead()
              • Tables for the code examples
                • table t1
                • table t2
                • table t3
                • table t4
            • case study—analyzing a normal distribution
              • Bucket allocation scheme
              • do_clean_start.sql
              • cr_show_t4.sql
              • cr_dp_views.sql
              • cr_int_views.sql
              • cr_pr_cd_equality_report.sql
              • cr_bucket_using_width_bucket.sql
              • cr_bucket_dedicated_code.sql
              • do_assert_bucket_ok
              • cr_histogram.sql
              • cr_do_ntile.sql
              • cr_do_percent_rank.sql
              • cr_do_cume_dist.sql
              • do_populate_results.sql
              • do_report_results.sql
              • do_compare_dp_results.sql
              • do_demo.sql
              • Reports
                • Histogram report
                • dp-results
                • compare-dp-results
                • int-results
          • yb_hash_code()
        • Keywords
        • Reserved names
      • YCQL
        • ALTER KEYSPACE
        • ALTER ROLE
        • ALTER TABLE
        • CREATE INDEX
        • CREATE KEYSPACE
        • CREATE ROLE
        • CREATE TABLE
        • CREATE TYPE
        • DROP INDEX
        • DROP KEYSPACE
        • DROP ROLE
        • DROP TABLE
        • DROP TYPE
        • GRANT PERMISSION
        • GRANT ROLE
        • REVOKE PERMISSION
        • REVOKE ROLE
        • USE
        • INSERT
        • SELECT
        • EXPLAIN
        • UPDATE
        • DELETE
        • TRANSACTION
        • TRUNCATE
        • Simple expressions
        • Subscripted expressions
        • Function call
        • Operators
        • BLOB
        • BOOLEAN
        • Collection
        • FROZEN
        • INET
        • Integer and counter
        • Non-integer
        • TEXT
        • DATE, TIME, and TIMESTAMP
        • UUID and TIMEUUID
        • JSONB
        • Date and time
        • BATCH
    • CLIs
      • yb-ctl
      • yb-docker-ctl
      • ysqlsh
      • ycqlsh
      • yb-admin
      • yb-ts-cli
      • ysql_dump
      • ysql_dumpall
    • Configuration
      • yb-tserver
      • yb-master
      • yugabyted
      • Default ports
    • Drivers and ORMs
      • JDBC Drivers
      • C# Drivers
      • Go Drivers
      • Python Drivers
      • Client drivers for YSQL
      • Client drivers for YCQL
    • Connectors
      • Kafka Connect YugabyteDB
    • Third party tools
      • Apache Superset
      • Arctype
      • DBeaver
      • DbSchema
      • pgAdmin
      • SQL Workbench/J
      • TablePlus
      • Visual Studio Code
    • Sample datasets
      • Chinook
      • Northwind
      • PgExercises
      • SportsDB
      • Retail Analytics
  • RELEASES
    • Releases overview
      • v2.13 series (preview)
      • v2.12 series (stable)
      • v2.11 series
      • v2.9 series
      • v2.8 series
      • v2.7 series
      • v2.6 series
      • v2.5 series
      • v2.4 series
      • v2.3 series
      • v2.2 series
      • v2.1 series
      • v2.0 series
      • v1.3 series
      • v1.2 series
    • Release versioning
  • FAQ
    • Comparisons
      • Amazon Aurora
      • Google Cloud Spanner
      • CockroachDB
      • TiDB
      • Vitess
      • MongoDB
      • FoundationDB
      • Amazon DynamoDB
      • Azure Cosmos DB
      • Apache Cassandra
      • PostgreSQL
      • Redis in-memory store
      • Apache HBase
    • General FAQ
    • Operations FAQ
    • API compatibility FAQ
    • YugabyteDB Anywhere FAQ
  • MISC
    • YEDIS
      • Quick start
      • Develop
        • Build an application
        • C#
        • C++
        • Go
        • Java
        • NodeJS
        • Python
      • API reference
        • APPEND
        • AUTH
        • CONFIG
        • CREATEDB
        • DELETEDB
        • LISTDB
        • SELECT
        • DEL
        • ECHO
        • EXISTS
        • EXPIRE
        • EXPIREAT
        • FLUSHALL
        • FLUSHDB
        • GET
        • GETRANGE
        • GETSET
        • HDEL
        • HEXISTS
        • HGET
        • HGETALL
        • HINCRBY
        • HKEYS
        • HLEN
        • HMGET
        • HMSET
        • HSET
        • HSTRLEN
        • HVALS
        • INCR
        • INCRBY
        • KEYS
        • MONITOR
        • PEXPIRE
        • PEXPIREAT
        • PTTL
        • ROLE
        • SADD
        • SCARD
        • RENAME
        • SET
        • SETEX
        • PSETEX
        • SETRANGE
        • SISMEMBER
        • SMEMBERS
        • SREM
        • STRLEN
        • ZRANGE
        • TSADD
        • TSCARD
        • TSGET
        • TSLASTN
        • TSRANGEBYTIME
        • TSREM
        • TSREVRANGEBYTIME
        • TTL
        • ZADD
        • ZCARD
        • ZRANGEBYSCORE
        • ZREM
        • ZREVRANGE
        • ZSCORE
        • PUBSUB
        • PUBLISH
        • SUBSCRIBE
        • UNSUBSCRIBE
        • PSUBSCRIBE
        • PUNSUBSCRIBE
    • Legal
      • Third party software
>

YugabyteDB Anywhere FAQ

Report a doc issue Suggest new content
  • What is YugabyteDB Anywhere?
  • How are the build artifacts packaged and stored for YugabyteDB Anywhere?
  • How does YugabyteDB Anywhere installation work?
  • What are the OS requirements and permissions to run YugabyteDB Anywhere?
  • What are the requirements to run YugabyteDB data nodes?
  • How does the YugabyteDB Anywhere UI interact with YugabyteDB data nodes?
  • Can I access the database machines that get spawned in public clouds?
  • How many machines do I need to try out YugabyteDB Anywhere against my load?
  • Can I control the properties (such as VPC, IOPS, tenancy, and so on) of the machines YugabyteDB Anywhere spins up?
  • How do I report a security vulnerability?

What is YugabyteDB Anywhere?

YugabyteDB Anywhere (previously known as Yugabyte Platform and Yugaware) is a private database-as-a-service, used to create and manage YugabyteDB universes and clusters. YugabyteDB Anywhere can be used to deploy YugabyteDB in any public or private cloud.

You deploy and manage your YugabyteDB universes using the YugabyteDB Anywhere UI.

See also YugabyteDB Anywhere at yugabyte.com.

How are the build artifacts packaged and stored for YugabyteDB Anywhere?

YugabyteDB Anywhere software is packaged as a set of Docker container images hosted on the Quay.io container registry and managed by the Replicated management tool. Replicated ensures that YugabyteDB Anywhere remains highly available, and allows for instant upgrades by simply pulling the incremental container images associated with a newer YugabyteDB Anywhere release. If the host running the YugabyteDB Anywhere UI does not have the Internet connectivity, a fully air-gapped installation option is also available.

The data node (YugabyteDB) software is packaged into the YugabyteDB Anywhere application.

How does YugabyteDB Anywhere installation work?

YugabyteDB Anywhere first needs to be installed on a machine. The next step is to configure YugabyteDB Anywhere to work with public and/or private clouds. In the case of public clouds, YugabyteDB Anywhere spawns the machines to orchestrate bringing up the data platform. In the case of private clouds, you add the nodes you want to be a part of the data platform into YugabyteDB Anywhere. YugabyteDB Anywhere needs SSH access into these nodes to manage them.

Installation of YugabyteDB Anywhere starts with installing Replicated on a Linux host. Replicated installs the docker-engine, the Docker container runtime, and then pulls its own container images from the Replicated.com container registry. YugabyteDB Anywhere then becomes a managed application of Replicated, which starts by pulling the YugabyteDB Anywhere (yugaware) container images from Quay.io for the very first time. YugabyteDB Anywhere then distributes and installs YugabyteDB on the hosts identified to run the data nodes. Since the YugabyteDB software is already packaged into existing artifacts, the data node does not require any Internet connectivity.

For instructions on installing YugabyteDB Anywhere, refer to Install YugabyteDB Anywhere.

What are the OS requirements and permissions to run YugabyteDB Anywhere?

YugabyteDB Anywhere requires Replicated; currently, Replicated only supports Linux-based operating systems. The Linux OS should be 3.10+ kernel, 64-bit, and ready to run docker-engine 1.7.1 - 17.06.2-ce (with 17.06.2-ce being the recommended version).

For a complete list of operating systems supported by Replicated, see Supported Operating Systems.

Note

This requirement applies only to YugabyteDB Anywhere. For a list of OSs supported by YugabyteDB, see the Deployment checklist for YugabyteDB.

YugabyteDB Anywhere also requires the following:

  • Connectivity to the Internet, either directly or via an HTTP proxy.
  • Ability to install and configure docker-engine.
  • Ability to install and configure Replicated, which is a containerized application itself and needs to pull containers from its own Replicated.com container registry.
  • Ability to pull Yugabyte container images from the Quay.io container registry (this will be done by Replicated automatically).
  • The following ports open on the platform host: 8800 (replicated ui), 80 (http access to the YugabyteDB Anywhere UI), 22 (ssh).
  • Attached disk storage (such as persistent EBS volumes on AWS): 100 GB SSD minimum.
  • A YugabyteDB Anywhere license file from Yugabyte.
  • Ability to connect from the YugabyteDB Anywhere host to all YugabyteDB data nodes via SSH.

For a complete list of prerequisites, refer to Prerequisites.

What are the requirements to run YugabyteDB data nodes?

Prerequisites for YugabyteDB data nodes are listed in the YugabyteDB Deployment checklist.

How does the YugabyteDB Anywhere UI interact with YugabyteDB data nodes?

The YugabyteDB Anywhere UI creates a passwordless SSH connection to interact with the data nodes.

Can I access the database machines that get spawned in public clouds?

Yes, you have access to all machines spawned. The machines are spawned by YugabyteDB Anywhere. YugabyteDB Anywhere runs on your machine in your region/data center. If you have configured YugabyteDB Anywhere to work with any public cloud (such as AWS or GCP), it will spawn YugabyteDB nodes using your credentials on your behalf. These machines run in your account, but are created and managed by YugabyteDB Anywhere on your behalf. You can log on to these machines any time. The YugabyteDB Anywhere UI additionally displays metrics per node and per universe.

How many machines do I need to try out YugabyteDB Anywhere against my load?

You need the following:

  • One server to install YugabyteDB Anywhere on.
  • A minimum number of servers for the data nodes as determined by the replication factor (RF). For example, one server for RF=1, and 3 servers in case of RF=3.
  • A server to run the load tests on.

Typically, you can saturate a database server (or three in case of RF=3) with just one large enough test machine running a synthetic load tester that has a light usage pattern. YugabyteDB ships with some synthetic load-testers, which can simulate a few different workloads. For example, one load tester simulates a time series or IoT-style workload and another does a stock-ticker like workload. But if you have a load tester that emulates your planned usage pattern, you can use that.

Can I control the properties (such as VPC, IOPS, tenancy, and so on) of the machines YugabyteDB Anywhere spins up?

Yes, you can control what YugabyteDB Anywhere is spinning up. For example:

  • You can choose if YugabyteDB Anywhere should spawn a new VPC with peering to the VPC on which application servers are running (to isolate the database machines into a separate VPC) AWS, or ask it to reuse an existing VPC.

  • You can choose dedicated IOPs EBS drives on AWS and specify the number of dedicated IOPS you need.

YugabyteDB Anywhere also allows creating these machines out of band and importing these as an on-premises install.

How do I report a security vulnerability?

Follow the steps in the vulnerability disclosure policy to report a vulnerability to our security team. The policy outlines our commitments to you when you disclose a potential vulnerability, the reporting process, and how Yugabyte will respond.

  • What is YugabyteDB Anywhere?
  • How are the build artifacts packaged and stored for YugabyteDB Anywhere?
  • How does YugabyteDB Anywhere installation work?
  • What are the OS requirements and permissions to run YugabyteDB Anywhere?
  • What are the requirements to run YugabyteDB data nodes?
  • How does the YugabyteDB Anywhere UI interact with YugabyteDB data nodes?
  • Can I access the database machines that get spawned in public clouds?
  • How many machines do I need to try out YugabyteDB Anywhere against my load?
  • Can I control the properties (such as VPC, IOPS, tenancy, and so on) of the machines YugabyteDB Anywhere spins up?
  • How do I report a security vulnerability?
Ask our community
  • Slack
  • Github
  • Forum
  • StackOverflow
Yugabyte
Contact Us
Copyright © 2017-2022 Yugabyte, Inc. All rights reserved.