AWS Lambda IronPDF on Amazon Linux 2
Curtis Chau
Updated: 2026年4月24日
AWS Lambda / Amazon Linux 2 (以管理員/根使用者身份安裝 IronPdf.Linux)
本資訊也顯示在我們的網站上 - AWS Lambda IronPDF 指南
AWS 指南
- 查看 AWS .NET 5 Lambda 支援容器映像
- 建立並使用以下的 Dockerfile：
# Use the .NET 5 AWS Lambda runtime as the base image
FROM public.ecr.aws/lambda/dotnet:5.0
WORKDIR /var/task
# Install the necessary dependencies for IronPDF
RUN yum install -y pango.x86_64 \
libXcomposite.x86_64 \
libXcursor.x86_64 \
libXdamage.x86_64 \
libXext.x86_64 \
libXi.x86_64 \
libXtst.x86_64 \
cups-libs.x86_64 \
libXScrnSaver.x86_64 \
libXrandr.x86_64 \
GConf2.x86_64 \
alsa-lib.x86_64 \
atk.x86_64 \
gtk3.x86_64 \
ipa-gothic-fonts \
xorg-x11-fonts-100dpi \
xorg-x11-fonts-75dpi \
xorg-x11-utils \
xorg-x11-fonts-cyrillic \
xorg-x11-fonts-Type1 \
xorg-x11-fonts-misc \
glibc-devel.x86_64 \
at-spi2-atk.x86_64 \
mesa-libgbm.x86_64
# This COPY command copies the .NET Lambda project's build artifacts from the host machine into the image.
COPY "bin/Release/lambda-publish" .Text
- 在您的解決方案中新增 IronPdf.Linux 套件。
- 修改
_FunctionHandler程式碼 - 此範例將從網頁 (IronPDF) 建立一個 PDF 並將其保存到/tmp。 為了查看這個 PDF，必須將其上傳到另一個服務，如 S3。（官方的 AWS 範例於此提供 - AWS S3 基礎）
// Define the function handler for AWS Lambda
public Casing FunctionHandler(string input, ILambdaContext context)
{
try
{
// Start logging the function process with input details
context.Logger.LogLine($"START FunctionHandler RequestId: {context.AwsRequestId} Input: {input}");
var awsTmpPath = @"/tmp/"; // AWS temporary storage path
// Optional: Enable debugging for IronPdf
// IronPdf.Logging.Logger.EnableDebugging = true;
// IronPdf.Logging.Logger.LogFilePath = awsTmpPath;
// IronPdf.Logging.Logger.LoggingMode = IronPdf.Logging.Logger.LoggingModes.All;
// Set your license key for IronPDF
IronPdf.License.LicenseKey = "YOUR_LICENSE_KEY";
// Configuration for IronPDF rendering
IronPdf.Installation.ChromeGpuMode = IronPdf.Engines.Chrome.ChromeGpuModes.Disabled;
IronPdf.Installation.DefaultRenderingEngine = IronPdf.Rendering.PdfRenderingEngine.Chrome;
Environment.SetEnvironmentVariable("TEMP", awsTmpPath, EnvironmentVariableTarget.Process);
Environment.SetEnvironmentVariable("TMP", awsTmpPath, EnvironmentVariableTarget.Process);
IronPdf.Installation.TempFolderPath = awsTmpPath;
IronPdf.Installation.CustomDeploymentDirectory = awsTmpPath;
IronPdf.Installation.LinuxAndDockerDependenciesAutoConfig = true;
context.Logger.LogLine($"Creating IronPdf.ChromePdfRenderer");
// Create instance of ChromePdfRenderer and render PDF from URL
var renderer = new IronPdf.ChromePdfRenderer();
context.Logger.LogLine($"Rendering PDF");
using var pdfDoc = renderer.RenderUrlAsPdf("https://ironpdf.com/");
var guid = Guid.NewGuid();
var fileName = $"/tmp/{input}_{guid}.pdf"; // Name for the PDF file
// Save the rendered PDF document
context.Logger.LogLine($"Saving PDF name : {fileName}");
pdfDoc.SaveAs(fileName);
// Here you can upload the saved PDF file to anywhere such as AWS S3.
context.Logger.LogLine($"COMPLETE!");
}
catch (Exception e)
{
// Log errors if any occur
context.Logger.LogLine($"[ERROR] FunctionHandler : {e.Message}");
}
// Return a new instance of Casing with lower and upper case input strings
return new Casing(input?.ToLower(), input?.ToUpper());
}
// Casing record to hold lower and upper case strings
public record Casing(string Lower, string Upper);' Define the function handler for AWS Lambda
Public Function FunctionHandler(ByVal input As String, ByVal context As ILambdaContext) As Casing
Try
' Start logging the function process with input details
context.Logger.LogLine($"START FunctionHandler RequestId: {context.AwsRequestId} Input: {input}")
Dim awsTmpPath = "/tmp/" ' AWS temporary storage path
' Optional: Enable debugging for IronPdf
' IronPdf.Logging.Logger.EnableDebugging = true;
' IronPdf.Logging.Logger.LogFilePath = awsTmpPath;
' IronPdf.Logging.Logger.LoggingMode = IronPdf.Logging.Logger.LoggingModes.All;
' Set your license key for IronPDF
IronPdf.License.LicenseKey = "YOUR_LICENSE_KEY"
' Configuration for IronPDF rendering
IronPdf.Installation.ChromeGpuMode = IronPdf.Engines.Chrome.ChromeGpuModes.Disabled
IronPdf.Installation.DefaultRenderingEngine = IronPdf.Rendering.PdfRenderingEngine.Chrome
Environment.SetEnvironmentVariable("TEMP", awsTmpPath, EnvironmentVariableTarget.Process)
Environment.SetEnvironmentVariable("TMP", awsTmpPath, EnvironmentVariableTarget.Process)
IronPdf.Installation.TempFolderPath = awsTmpPath
IronPdf.Installation.CustomDeploymentDirectory = awsTmpPath
IronPdf.Installation.LinuxAndDockerDependenciesAutoConfig = True
context.Logger.LogLine($"Creating IronPdf.ChromePdfRenderer")
' Create instance of ChromePdfRenderer and render PDF from URL
Dim renderer = New IronPdf.ChromePdfRenderer()
context.Logger.LogLine($"Rendering PDF")
Dim pdfDoc = renderer.RenderUrlAsPdf("https://ironpdf.com/")
Dim guid As System.Guid = System.Guid.NewGuid()
Dim fileName = $"/tmp/{input}_{guid}.pdf" ' Name for the PDF file
' Save the rendered PDF document
context.Logger.LogLine($"Saving PDF name : {fileName}")
pdfDoc.SaveAs(fileName)
' Here you can upload the saved PDF file to anywhere such as AWS S3.
context.Logger.LogLine($"COMPLETE!")
Catch e As Exception
' Log errors if any occur
context.Logger.LogLine($"[ERROR] FunctionHandler : {e.Message}")
End Try
' Return a new instance of Casing with lower and upper case input strings
Return New Casing(input?.ToLower(), input?.ToUpper())
End Function
' Casing record to hold lower and upper case strings
'INSTANT VB TODO TASK: C# 'records' are not converted by Instant VB:
'public record Casing(string Lower, string Upper)- 增加記憶體和超時時間 - IronPDF 需要比 Lambda 的預設值更多的時間和記憶體。 這可以在
aws-lambda-tools-defaults.json中配置。 調整這些值以符合您的功能需求。
在此範例中，我們設置為 512 (MB) 和 330 (秒)：
"function-memory-size": 512,
"function-timeout": 330,JSON
也可以使用 Lambda 控制台更新配置 - AWS Lambda 記憶體配置。 6. 請遵循文件的最後部分來發布並嘗試 Lambda 功能 AWS .NET 5 Lambda 支援容器映像 7. Lambda 功能也可以使用 Lambda 控制台呼叫，AWS Lambda 控制台 或通過使用 AWS Toolkit for Visual Studio 在 Visual Studio 中呼叫。
如果您收到"GPU process isn't usable"的訊息，可能是因為安裝時未使用管理員權限。 請嘗試以管理員/根權限重新運行該軟體。 或者，將以下內容新增到您的 Dockerfile：
RUN chmod 755 "runtimes/linux-x64/native/IronCefSubprocess"Text
技術作家
Curtis Chau擁有Carleton大學的電腦科學學士學位，專精於前端開發，擁有Node.js、TypeScript、JavaScript和React的專業知識。Curtis熱衷於建立直觀且美觀的使用者介面，喜愛使用現代框架並建立結構良好、視覺吸引力的手冊。
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