Package 'starburst' reference manual

Title:	Seamless AWS Cloud Bursting for Parallel R Workloads
Description:	A 'future' backend that enables seamless execution of parallel R workloads on 'Amazon Web Services' ('AWS', <https://aws.amazon.com>), including 'EC2' and 'Fargate'. 'staRburst' handles environment synchronization, data transfer, quota management, and worker orchestration automatically, allowing users to scale from local execution to 100+ cloud workers with a single line of code change.
Authors:	Scott Friedman [aut, cre]
Maintainer:	Scott Friedman <[email protected]>
License:	Apache License 2.0
Version:	0.3.8
Built:	2026-06-03 03:06:15 UTC
Source:	https://github.com/scttfrdmn/starburst

Create a Future using Starburst Backend

Description

This is the entry point called by the Future package when a plan(starburst) is active

Usage

## S3 method for class 'starburst'
future(
  expr,
  envir = parent.frame(),
  substitute = TRUE,
  lazy = FALSE,
  seed = FALSE,
  globals = TRUE,
  packages = NULL,
  stdout = TRUE,
  conditions = "condition",
  label = NULL,
  ...
)
## S3 method for class 'starburst'
future(
  expr,
  envir = parent.frame(),
  substitute = TRUE,
  lazy = FALSE,
  seed = FALSE,
  globals = TRUE,
  packages = NULL,
  stdout = TRUE,
  conditions = "condition",
  label = NULL,
  ...
)

Arguments

expr

Expression to evaluate

envir

Environment for evaluation

substitute

Whether to substitute the expression

lazy

Whether to lazily evaluate (always FALSE for remote)

seed

Random seed

globals

Globals to export (TRUE for auto-detection, list for manual)

packages

Packages to load

stdout

Whether to capture stdout (TRUE, FALSE, or NA)

conditions

Character vector of condition classes to capture

label

Optional label for the future

...

Additional arguments

Value

A StarburstFuture object

Launch a future on the Starburst backend

Description

Launch a future on the Starburst backend

Usage

## S3 method for class 'StarburstBackend'
launchFuture(backend, future, ...)
## S3 method for class 'StarburstBackend'
launchFuture(backend, future, ...)

Arguments

backend

A StarburstBackend object

future

The future object to launch

...

Additional arguments

Value

The future object (invisibly)

List futures for StarburstBackend

Description

List futures for StarburstBackend

Usage

## S3 method for class 'StarburstBackend'
listFutures(backend, ...)
## S3 method for class 'StarburstBackend'
listFutures(backend, ...)

Arguments

backend

A StarburstBackend object

...

Additional arguments

Value

List of futures (empty for this backend)

Number of workers for StarburstBackend

Description

Number of workers for StarburstBackend

Usage

## S3 method for class 'StarburstBackend'
nbrOfWorkers(evaluator)
## S3 method for class 'StarburstBackend'
nbrOfWorkers(evaluator)

Arguments

evaluator

A StarburstBackend object

Value

Number of workers

staRburst Future Backend

Description

A future backend for running parallel R workloads on AWS (EC2 or Fargate)

Usage

## S3 method for class 'starburst'
plan(
  strategy,
  workers = 10,
  cpu = 4,
  memory = "8GB",
  region = NULL,
  timeout = 3600,
  auto_quota_request = interactive(),
  launch_type = "EC2",
  instance_type = "c7g.xlarge",
  use_spot = TRUE,
  warm_pool_timeout = 3600,
  detached = FALSE,
  ...
)
## S3 method for class 'starburst'
plan(
  strategy,
  workers = 10,
  cpu = 4,
  memory = "8GB",
  region = NULL,
  timeout = 3600,
  auto_quota_request = interactive(),
  launch_type = "EC2",
  instance_type = "c7g.xlarge",
  use_spot = TRUE,
  warm_pool_timeout = 3600,
  detached = FALSE,
  ...
)

Arguments

strategy

The starburst strategy marker (ignored, for S3 dispatch)

workers

Number of parallel workers

cpu

vCPUs per worker (1, 2, 4, 8, or 16)

memory

Memory per worker (supports GB notation, e.g., "8GB")

region

AWS region (default: from config or "us-east-1")

timeout

Maximum runtime in seconds (default: 3600)

auto_quota_request

Automatically request quota increases (default: interactive())

launch_type

Launch type: EC2 or FARGATE (default: EC2)

instance_type

EC2 instance type when using EC2 launch type (default: c7g.xlarge)

use_spot

Use EC2 Spot instances for cost savings (default: TRUE)

warm_pool_timeout

Timeout for warm pool in seconds (default: 3600)

detached

Use detached session mode (deprecated, use starburst_session instead)

...

Additional arguments passed to future backend

Value

A future plan object

Examples


if (starburst_is_configured()) {
  future::plan(starburst, workers = 50)
  results <- future.apply::future_lapply(1:100, function(i) i^2)
}

if (starburst_is_configured()) {
  future::plan(starburst, workers = 50)
  results <- future.apply::future_lapply(1:100, function(i) i^2)
}

Print method for session status

Description

Print method for session status

Usage

## S3 method for class 'StarburstSessionStatus'
print(x, ...)
## S3 method for class 'StarburstSessionStatus'
print(x, ...)

Arguments

x

A StarburstSessionStatus object

...

Additional arguments (ignored)

Value

Invisibly returns x.

Check if StarburstFuture is Resolved

Description

Checks whether the future task has completed execution

Usage

## S3 method for class 'StarburstFuture'
resolved(x, ...)
## S3 method for class 'StarburstFuture'
resolved(x, ...)

Arguments

x

A StarburstFuture object

...

Additional arguments

Value

Logical indicating if the future is resolved

Get Result from StarburstFuture

Description

Retrieves the result from a resolved future

Usage

## S3 method for class 'StarburstFuture'
result(future, ...)
## S3 method for class 'StarburstFuture'
result(future, ...)

Arguments

future

A StarburstFuture object

...

Additional arguments

Value

A FutureResult object

Run a StarburstFuture

Description

Submits the future task to AWS Fargate for execution

Usage

## S3 method for class 'StarburstFuture'
run(future, ...)
## S3 method for class 'StarburstFuture'
run(future, ...)

Arguments

future

A StarburstFuture object

...

Additional arguments

Value

The future object (invisibly)

Detached Session API

Description

User-facing API for creating and managing detached sessions

Starburst strategy marker

Description

This function should never be called directly. Use plan(starburst, ...) instead.

Usage

starburst(...)
starburst(...)

Arguments

...

Arguments passed to StarburstBackend()

Value

Does not return a value; always signals an error if called directly. This object exists as a strategy marker for plan.

Monitor quota increase request

Description

Monitor quota increase request

Usage

starburst_check_quota_request(case_id, region = NULL)
starburst_check_quota_request(case_id, region = NULL)

Arguments

case_id

Case ID from quota increase request

region

AWS region

Value

Invisibly returns the quota request details, or NULL on error.

Examples


if (starburst_is_configured()) {
  starburst_check_quota_request("case-12345")
}

if (starburst_is_configured()) {
  starburst_check_quota_request("case-12345")
}

Clean up staRburst ECR images

Description

Manually delete Docker images from ECR to save storage costs. Images will be rebuilt on next use (adds 3-5 min delay).

Usage

starburst_cleanup_ecr(force = FALSE, region = NULL)
starburst_cleanup_ecr(force = FALSE, region = NULL)

Arguments

force

Delete all images immediately, ignoring TTL

region

AWS region (default: from config)

Value

Invisibly returns TRUE on success or FALSE if not configured.

Examples


if (starburst_is_configured()) {
  # Delete images past TTL
  starburst_cleanup_ecr()

  # Delete all images immediately (save $0.50/month)
  starburst_cleanup_ecr(force = TRUE)
}

if (starburst_is_configured()) {
  # Delete images past TTL
  starburst_cleanup_ecr()

  # Delete all images immediately (save $0.50/month)
  starburst_cleanup_ecr(force = TRUE)
}

Create a Starburst Cluster

Description

Creates a cluster object for managing AWS Fargate workers using Future backend

Usage

starburst_cluster(
  workers = 10,
  cpu = 4,
  memory = "8GB",
  platform = "X86_64",
  region = NULL,
  timeout = 3600
)
starburst_cluster(
  workers = 10,
  cpu = 4,
  memory = "8GB",
  platform = "X86_64",
  region = NULL,
  timeout = 3600
)

Arguments

workers

Number of parallel workers

cpu

CPU units per worker

memory

Memory per worker

platform

CPU architecture (X86_64 or ARM64)

region

AWS region

timeout

Maximum runtime in seconds

Value

A starburst_cluster object

Examples


if (starburst_is_configured()) {
  cluster <- starburst_cluster(workers = 20)
  results <- cluster$map(data, function(x) x * 2)
}

if (starburst_is_configured()) {
  cluster <- starburst_cluster(workers = 20)
  results <- cluster$map(data, function(x) x * 2)
}

Configure staRburst options

Description

Configure staRburst options

Usage

starburst_config(
  max_cost_per_job = NULL,
  cost_alert_threshold = NULL,
  auto_cleanup_s3 = NULL,
  ...
)
starburst_config(
  max_cost_per_job = NULL,
  cost_alert_threshold = NULL,
  auto_cleanup_s3 = NULL,
  ...
)

Arguments

max_cost_per_job

Maximum cost per job in dollars

cost_alert_threshold

Cost threshold for alerts

auto_cleanup_s3

Automatically clean up S3 files after completion

...

Additional configuration options

Value

Invisibly returns the updated configuration list.

Examples


if (starburst_is_configured()) {
  starburst_config(
    max_cost_per_job = 10,
    cost_alert_threshold = 5
  )
}

if (starburst_is_configured()) {
  starburst_config(
    max_cost_per_job = 10,
    cost_alert_threshold = 5
  )
}

Estimate Cloud Performance and Cost

Description

Runs a small sample of tasks locally to estimate cloud execution time and cost. Provides informed prediction before spending money on cloud execution.

Usage

starburst_estimate(
  .x,
  .f,
  workers = 10,
  cpu = 2,
  memory = "8GB",
  platform = "X86_64",
  sample_size = 10,
  region = NULL,
  ...
)
starburst_estimate(
  .x,
  .f,
  workers = 10,
  cpu = 2,
  memory = "8GB",
  platform = "X86_64",
  sample_size = 10,
  region = NULL,
  ...
)

Arguments

.x

A vector or list to iterate over

.f

A function to apply to each element

workers

Number of parallel workers to estimate for

cpu

CPU units per worker (1, 2, 4, 8, or 16)

memory

Memory per worker (e.g., "8GB")

platform

CPU architecture: "X86_64" (default) or "ARM64" (Graviton3)

sample_size

Number of items to run locally for estimation (default: 10)

region

AWS region

...

Additional arguments passed to .f

Value

Invisible list with estimates, prints summary to console

Examples


if (starburst_is_configured()) {
  # Estimate before running
  starburst_estimate(1:1000, expensive_function, workers = 50)

  # Then decide whether to proceed
  results <- starburst_map(1:1000, expensive_function, workers = 50)
}

if (starburst_is_configured()) {
  # Estimate before running
  starburst_estimate(1:1000, expensive_function, workers = 50)

  # Then decide whether to proceed
  results <- starburst_map(1:1000, expensive_function, workers = 50)
}

Check if staRburst is configured

Description

Returns TRUE if starburst_setup() has been run, the configuration file exists, and AWS credentials are available. Useful for guarding example code that requires AWS credentials.

Usage

starburst_is_configured()
starburst_is_configured()

Value

TRUE if configured and credentials are available, FALSE otherwise.

Examples

starburst_is_configured()
starburst_is_configured()

List All Sessions

Description

List all detached sessions in S3

Usage

starburst_list_sessions(region = NULL)
starburst_list_sessions(region = NULL)

Arguments

region

AWS region (default: from config)

Value

Data frame with session information

Examples


if (starburst_is_configured()) {
  sessions <- starburst_list_sessions()
  print(sessions)
}

if (starburst_is_configured()) {
  sessions <- starburst_list_sessions()
  print(sessions)
}

View worker logs

Description

View worker logs

Usage

starburst_logs(task_id = NULL, cluster_id = NULL, last_n = 50, region = NULL)
starburst_logs(task_id = NULL, cluster_id = NULL, last_n = 50, region = NULL)

Arguments

task_id

Optional task ID to view logs for specific task

cluster_id

Optional cluster ID to view logs for specific cluster

last_n

Number of last log lines to show (default: 50)

region

AWS region (default: from config)

Value

Invisibly returns the list of log events, or NULL if no events were found.

Examples


if (starburst_is_configured()) {
  # View recent logs
  starburst_logs()

  # View logs for specific task
  starburst_logs(task_id = "abc-123")

  # View last 100 lines
  starburst_logs(last_n = 100)
}

if (starburst_is_configured()) {
  # View recent logs
  starburst_logs()

  # View logs for specific task
  starburst_logs(task_id = "abc-123")

  # View last 100 lines
  starburst_logs(last_n = 100)
}

Map Function Over Data Using AWS Fargate

Description

Parallel map function that executes on AWS Fargate using the Future backend

Usage

starburst_map(
  .x,
  .f,
  workers = 10,
  cpu = 4,
  memory = "8GB",
  platform = "X86_64",
  region = NULL,
  timeout = 3600,
  .progress = TRUE,
  ...
)
starburst_map(
  .x,
  .f,
  workers = 10,
  cpu = 4,
  memory = "8GB",
  platform = "X86_64",
  region = NULL,
  timeout = 3600,
  .progress = TRUE,
  ...
)

Arguments

.x

A vector or list to iterate over

.f

A function to apply to each element

workers

Number of parallel workers (default: 10)

cpu

CPU units per worker (1, 2, 4, 8, or 16)

memory

Memory per worker (e.g., 8GB)

platform

CPU architecture (X86_64 or ARM64)

region

AWS region

timeout

Maximum runtime in seconds per task

.progress

Show progress bar (default: TRUE)

...

Additional arguments passed to .f

Value

A list of results, one per element of .x

Examples


if (starburst_is_configured()) {
  # Simple parallel computation
  results <- starburst_map(1:100, function(x) x^2, workers = 10)

  # With custom configuration
  results <- starburst_map(
    data_list,
    expensive_function,
    workers = 50,
    cpu = 4,
    memory = "8GB"
  )
}

if (starburst_is_configured()) {
  # Simple parallel computation
  results <- starburst_map(1:100, function(x) x^2, workers = 10)

  # With custom configuration
  results <- starburst_map(
    data_list,
    expensive_function,
    workers = 50,
    cpu = 4,
    memory = "8GB"
  )
}

Show quota status

Description

Show quota status

Usage

starburst_quota_status(region = NULL)
starburst_quota_status(region = NULL)

Arguments

region

AWS region (default: from config)

Value

Invisibly returns a list with quota information including current limit, usage, and any pending requests.

Examples


if (starburst_is_configured()) {
  starburst_quota_status()
}

if (starburst_is_configured()) {
  starburst_quota_status()
}

Rebuild environment image

Description

Rebuild environment image

Usage

starburst_rebuild_environment(region = NULL, force = FALSE)
starburst_rebuild_environment(region = NULL, force = FALSE)

Arguments

region

AWS region (default: from config)

force

Force rebuild even if current environment hasn't changed

Value

Invisibly returns NULL. Called for its side effect of rebuilding and pushing the Docker environment image.

Examples


if (starburst_is_configured()) {
  starburst_rebuild_environment()
}

if (starburst_is_configured()) {
  starburst_rebuild_environment()
}

Request quota increase (user-facing)

Description

Request quota increase (user-facing)

Usage

starburst_request_quota_increase(vcpus = 500, region = NULL)
starburst_request_quota_increase(vcpus = 500, region = NULL)

Arguments

vcpus

Desired vCPU quota

region

AWS region (default: from config)

Value

Invisibly returns TRUE if the increase was requested, FALSE if already sufficient or cancelled.

Examples


if (starburst_is_configured()) {
  starburst_request_quota_increase(vcpus = 500)
}

if (starburst_is_configured()) {
  starburst_request_quota_increase(vcpus = 500)
}

Create a Detached Starburst Session

Description

Creates a new detached session that can run computations independently of your R session. You can close R and reattach later to collect results.

Usage

starburst_session(
  workers = 10,
  cpu = 4,
  memory = "8GB",
  region = NULL,
  timeout = 3600,
  session_timeout = 3600,
  absolute_timeout = 86400,
  launch_type = "EC2",
  instance_type = "c7g.xlarge",
  use_spot = TRUE,
  warm_pool_timeout = 3600
)
starburst_session(
  workers = 10,
  cpu = 4,
  memory = "8GB",
  region = NULL,
  timeout = 3600,
  session_timeout = 3600,
  absolute_timeout = 86400,
  launch_type = "EC2",
  instance_type = "c7g.xlarge",
  use_spot = TRUE,
  warm_pool_timeout = 3600
)

Arguments

workers

Number of parallel workers (default: 10)

cpu

vCPUs per worker (default: 4)

memory

Memory per worker, e.g., "8GB" (default: "8GB")

region

AWS region (default: from config or "us-east-1")

timeout

Task timeout in seconds (default: 3600)

session_timeout

Active timeout in seconds (default: 3600)

absolute_timeout

Maximum session lifetime in seconds (default: 86400)

launch_type

"FARGATE" or "EC2" (default: "FARGATE")

instance_type

EC2 instance type for EC2 launch (default: "c6a.large")

use_spot

Use spot instances for EC2 (default: FALSE)

warm_pool_timeout

EC2 warm pool timeout in seconds (default: 3600)

Value

A StarburstSession object with methods:

submit(expr, ...) - Submit a task to the session
status() - Get progress summary
collect(wait = FALSE) - Collect completed results
extend(seconds = 3600) - Extend timeout
cleanup() - Terminate and cleanup

Examples


if (starburst_is_configured()) {
  # Create detached session
  session <- starburst_session(workers = 10)

  # Submit tasks
  task_ids <- lapply(1:100, function(i) {
    session$submit(quote(expensive_computation(i)))
  })

  # Close R and come back later...
  session_id <- session$session_id

  # Reattach
  session <- starburst_session_attach(session_id)

  # Collect results
  results <- session$collect(wait = TRUE)
}

if (starburst_is_configured()) {
  # Create detached session
  session <- starburst_session(workers = 10)

  # Submit tasks
  task_ids <- lapply(1:100, function(i) {
    session$submit(quote(expensive_computation(i)))
  })

  # Close R and come back later...
  session_id <- session$session_id

  # Reattach
  session <- starburst_session_attach(session_id)

  # Collect results
  results <- session$collect(wait = TRUE)
}

Reattach to Existing Session

Description

Reattach to a previously created detached session

Usage

starburst_session_attach(session_id, region = NULL)
starburst_session_attach(session_id, region = NULL)

Arguments

session_id

Session identifier

region

AWS region (default: from config)

Value

A StarburstSession object

Examples


if (starburst_is_configured()) {
  session <- starburst_session_attach("session-abc123")
  status <- session$status()
  results <- session$collect()
}

if (starburst_is_configured()) {
  session <- starburst_session_attach("session-abc123")
  status <- session$status()
  results <- session$collect()
}

Setup staRburst

Description

One-time configuration to set up AWS resources for staRburst

Usage

starburst_setup(
  region = "us-east-1",
  force = FALSE,
  use_public_base = TRUE,
  ecr_image_ttl_days = NULL,
  build_image = TRUE
)
starburst_setup(
  region = "us-east-1",
  force = FALSE,
  use_public_base = TRUE,
  ecr_image_ttl_days = NULL,
  build_image = TRUE
)

Arguments

region

AWS region (default: "us-east-1")

force

Force re-setup even if already configured

use_public_base

Use public base Docker images (default: TRUE). Set to FALSE to build private base images in your ECR.

ecr_image_ttl_days

Number of days to keep Docker images in ECR (default: NULL = never delete). AWS will automatically delete images older than this many days. This prevents surprise costs if you stop using staRburst. Recommended: 30 days for regular users, 7 days for occasional users. When images are deleted, they will be rebuilt on next use (adds 3-5 min).

build_image

Build the worker environment image during setup (default: TRUE). Set to FALSE to provision AWS resources (S3/ECR/ECS/VPC), write config, and check quotas without triggering the multi-minute Docker image build. The image is then built lazily on first worker launch via ensure_environment(). Useful for CI / connectivity checks.

Value

Invisibly returns the configuration list.

Examples


if (starburst_is_configured()) {
  # Default: keep images forever (~$0.50/month idle cost)
  starburst_setup()

  # Auto-delete images after 30 days (saves money if you stop using it)
  starburst_setup(ecr_image_ttl_days = 30)

  # Use private base images with 7-day cleanup
  starburst_setup(use_public_base = FALSE, ecr_image_ttl_days = 7)

  # Provision resources without building the image (fast; CI / connectivity checks)
  starburst_setup(build_image = FALSE)
}

if (starburst_is_configured()) {
  # Default: keep images forever (~$0.50/month idle cost)
  starburst_setup()

  # Auto-delete images after 30 days (saves money if you stop using it)
  starburst_setup(ecr_image_ttl_days = 30)

  # Use private base images with 7-day cleanup
  starburst_setup(use_public_base = FALSE, ecr_image_ttl_days = 7)

  # Provision resources without building the image (fast; CI / connectivity checks)
  starburst_setup(build_image = FALSE)
}

Setup EC2 capacity providers for staRburst

Description

One-time setup for EC2 launch type. Creates IAM roles, instance profiles, and capacity providers for specified instance types.

Usage

starburst_setup_ec2(
  region = "us-east-1",
  instance_types = c("c7g.xlarge", "c7i.xlarge"),
  force = FALSE
)
starburst_setup_ec2(
  region = "us-east-1",
  instance_types = c("c7g.xlarge", "c7i.xlarge"),
  force = FALSE
)

Arguments

region

AWS region (default: "us-east-1")

instance_types

Character vector of instance types to setup (default: c("c7g.xlarge", "c7i.xlarge"))

force

Force re-setup even if already configured

Value

Invisibly returns TRUE on success or FALSE on failure or cancellation.

Examples


if (starburst_is_configured()) {
  # Setup with default instance types (Graviton and Intel)
  starburst_setup_ec2()

  # Setup with custom instance types
  starburst_setup_ec2(instance_types = c("c7g.2xlarge", "r7g.xlarge"))
}

if (starburst_is_configured()) {
  # Setup with default instance types (Graviton and Intel)
  starburst_setup_ec2()

  # Setup with custom instance types
  starburst_setup_ec2(instance_types = c("c7g.2xlarge", "r7g.xlarge"))
}

Show staRburst status

Description

Show staRburst status

Usage

starburst_status()
starburst_status()

Value

Invisibly returns a list with current configuration and quota information.

Starburst Future Backend

Description

A future backend for running parallel R workloads on AWS ECS

Usage

StarburstBackend(
  workers = 10,
  cpu = 4,
  memory = "8GB",
  region = NULL,
  timeout = 3600,
  launch_type = "EC2",
  instance_type = "c6a.large",
  use_spot = FALSE,
  warm_pool_timeout = 3600,
  ...
)
StarburstBackend(
  workers = 10,
  cpu = 4,
  memory = "8GB",
  region = NULL,
  timeout = 3600,
  launch_type = "EC2",
  instance_type = "c6a.large",
  use_spot = FALSE,
  warm_pool_timeout = 3600,
  ...
)

Arguments

workers

Number of parallel workers

cpu

vCPUs per worker (1, 2, 4, 8, or 16)

memory

Memory per worker (supports GB notation, e.g., "8GB")

region

AWS region (default: from config or "us-east-1")

timeout

Maximum runtime in seconds (default: 3600)

launch_type

"EC2" or "FARGATE" (default: "EC2")

instance_type

EC2 instance type (e.g., "c6a.large")

use_spot

Use spot instances (default: FALSE)

warm_pool_timeout

Pool timeout in seconds (default: 3600)

...

Additional arguments

Value

A StarburstBackend object

Package 'starburst'

Help Index

Create a Future using Starburst Backend

Description

Usage

Arguments

Value

Launch a future on the Starburst backend

Description

Usage

Arguments

Value

List futures for StarburstBackend

Description

Usage

Arguments

Value

Number of workers for StarburstBackend

Description

Usage

Arguments

Value

staRburst Future Backend

Description

Usage

Arguments

Value

Examples

Print method for session status

Description

Usage

Arguments

Value

Check if StarburstFuture is Resolved

Description

Usage

Arguments

Value

Get Result from StarburstFuture

Description

Usage

Arguments

Value

Run a StarburstFuture

Description

Usage

Arguments

Value

Detached Session API

Description

Starburst strategy marker

Description

Usage

Arguments

Value

Monitor quota increase request

Description

Usage

Arguments

Value

Examples

Clean up staRburst ECR images

Description

Usage

Arguments

Value

Examples

Create a Starburst Cluster

Description

Usage

Arguments

Value

Examples

Configure staRburst options

Description

Usage

Arguments

Value

Examples

Estimate Cloud Performance and Cost