Skip to content

Home

  • in zh
  • 1 min read

對Terraform的CDK採取實用方法

基礎設施即代碼（IaC）已經使我們管理和提供雲端資源的方式進行了革命性的改變。由HashiCorp開發的Terraform在這個領域中一直領先，允許用戶通過聲明性配置文件來定義基礎設施。然而，隨著Terraform的雲端開發套件（CDKTF）的出現，開發者現在可以利用他們已經熟悉的程式設計語言的力量，例如TypeScript、Python、Java、C#和Go，來定義他們的基礎設施。

Terraform CDK的構建塊

Terraform的CDK是建立在AWS的雲端開發套件（CDK）之上的，並使用JSII（JavaScript Interop Interface）來啟用在多種程式設計語言中可用的構建塊的發佈。這種多語言方式為基礎設施管理打開了新的可能性。

構建CDKTF應用的基礎類別包括：

  • 應用類別：這是您的基礎設施配置的容器。它初始化CDK應用並充當根構建塊。
  • 堆棧類別：一個堆棧代表一個包含了一系列相關資源的單一可部署單位。
  • 資源類別：這個類別代表單個基礎設施組件，如EC2實例或S3存储桶。
  • 構建塊：構建塊是CDK應用的基本構建塊。他們封裝邏輯並可以組合創建更高級別的抽象。

何時使用Terraform的CDK

Terraform的CDK是一個強大的工具，但並非每個項目都是最好的選擇。以下是一些CDKTF可能適合的情況：

  • 偏好程序式語言：如果您的團隊更熟悉如Python或TypeScript等程序式程式設計語言，CDKTF允許您使用這些語言而不是學習新的特定領域語言（DSL）如HCL（HashiCorp配置語言）來定義基礎設施。
  • 需要抽象：隨著您的基礎設施變得越來越複雜，創建更高級別的抽象可以幫助管理這種複雜性。CDKTF使您能夠創建封裝常見模式的可重用構建塊。
  • 對前沿工具的熟悉：CDKTF在Terraform生態系統中是一個相對新的工具。如果您的團隊樂於接受新技術並處理可能的重大變化，CDKTF可以提供一種更動態和靈活的基礎設施即代碼方法。

結論

Terraform的CDK為希望利用他們現有程式設計技能來定義和管理雲端基礎設施的團隊提供了一種實用的方法。通過提供熟悉的語言界面並啟用創建可重用構建塊的功能，CDKTF可以幫助簡化開發流程並管理大規模部署中的複雜性。然而，評估您的團隊是否準備好採用這種前沿工具，以及它是否與您的項目需求相符，這是至關重要的。

  • 2 min read

Centralized TLS Certificate Management with HashiCorp Vault PKI and Cert Manager

Embracing Zero Trust Security with HTTPS

In the era of zero-trust security, HTTPS has become a non-negotiable requirement for securing web traffic. It ensures that data transferred between users and websites is encrypted and authenticated, protecting against eavesdropping and man-in-the-middle attacks.

Understanding Public Key Infrastructure (PKI)

PKI is a framework that manages digital certificates and public-key encryption, enabling secure communication over the internet. It involves the creation, distribution, and management of digital certificates, which are used to verify the identity of entities and encrypt data.

Challenges with Traditional PKI Management

Managing PKI manually can be cumbersome and error-prone. The process typically involves:

  1. Generating a key pair and Certificate Signing Request (CSR).
  2. Submitting a support request for certificate issuance, which can take 1-10 days.
  3. Receiving and configuring the service with the returned certificate.
  4. Regularly rotating certificates to maintain security.

This manual approach is not only time-consuming but also increases the risk of misconfigurations and security breaches.

Simplifying PKI with HashiCorp Vault

HashiCorp Vault offers a solution to these challenges by automating the certificate management process. With Vault's PKI Secret Engine, certificates can be automatically requested and updated, streamlining the management of TLS certificates.

Vault PKI Secret Engine Configuration

To set up centralized TLS certificate management using HashiCorp Vault PKI and Cert Manager, follow these steps:

  1. Mount the PKI Secret Engine: Enable the PKI secret engine in Vault to start issuing certificates.

shell vault secrets enable pki

  1. Configure the Root CA: Set up a root Certificate Authority (CA) or an intermediate CA to sign certificates.

shell vault write pki/root/generate/internal \ common_name="example.com" \ ttl=87600h

  1. Enable Kubernetes Authentication: Configure Vault to authenticate Kubernetes service accounts, allowing Cert Manager to interact with Vault.

shell vault auth enable kubernetes

  1. Configure Cert Manager: Set up Cert Manager in your Kubernetes cluster to automatically request and renew certificates from Vault.

yaml apiVersion: cert-manager.io/v1 kind: Issuer metadata: name: vault-issuer spec: vault: path: pki/sign/example-dot-com server: https://vault.example.com auth: kubernetes: role: cert-manager secretRef: name: vault-auth key: token

By integrating HashiCorp Vault PKI with Cert Manager, you can achieve automated and centralized management of TLS certificates, reducing manual effort and enhancing security. This setup ensures that your services are always secured with up-to-date certificates, aligning with zero-trust security principles.

  • in podcast
  • 2 min read

Centralized TLS Certificate Management with HashiCorp Vault PKI and Cert Manager

Welcome to Continuous Improvement. I’m Victor Leung, and today we’re diving into a topic that is fundamental to secure digital communications: the role of HTTPS and Public Key Infrastructure, or PKI, in the era of zero-trust security. We'll also explore how automating PKI with HashiCorp Vault can transform the management of digital certificates, making our systems more secure and less prone to human error.

In our current digital landscape, HTTPS is not just a nice-to-have; it’s a must-have. It encrypts the data transferred between users and websites, safeguarding it against eavesdropping and man-in-the-middle attacks. This is the first line of defense in a zero-trust security approach, where trust is never assumed, regardless of the network's location.

But managing the backbone of HTTPS, the Public Key Infrastructure, comes with its own set of challenges. PKI manages digital certificates and keys, ensuring secure communication over the internet. Traditionally, this involves generating key pairs, creating Certificate Signing Requests, and manually rotating these certificates. It’s a labor-intensive process that’s ripe for automation.

This is where HashiCorp Vault steps in. Vault simplifies PKI management by automating the entire process of certificate handling. With Vault's PKI Secret Engine, you can issue, renew, and revoke certificates without manual intervention, streamlining operations and reducing the risk of errors.

Let's break down how you can set this up. First, you'll enable the PKI secret engine and configure a root or intermediate Certificate Authority in Vault. This step is crucial as it establishes the authority that will issue and manage your certificates.

vault secrets enable pki
vault write pki/root/generate/internal common_name="example.com" ttl=87600h

Next, integrating Vault with Kubernetes through Cert Manager plays a pivotal role. By configuring Vault to authenticate Kubernetes service accounts, Cert Manager can automatically request and renew certificates from Vault, ensuring your applications are always secured with valid certificates.

apiVersion: cert-manager.io/v1
kind: Issuer
metadata:
  name: vault-issuer
spec:
  vault:
    path: pki/sign/example-dot-com
    server: https://vault.example.com
    auth:
      kubernetes:
        role: cert-manager
        secretRef:
          name: vault-auth
          key: token

By automating these processes, organizations not only adhere to the zero-trust model but also enhance their operational efficiency. This setup reduces the manual workload and minimizes the risks associated with human errors in certificate management.

Thanks for tuning in to Continuous Improvement. Today we’ve unpacked how HTTPS and PKI fit into the zero-trust security model and how tools like HashiCorp Vault can automate the painstaking process of certificate management. For more insights into leveraging technology to improve business and security practices, make sure to subscribe. I’m Victor Leung, reminding you that in the world of technology, continuous improvement isn’t just a goal—it’s a necessity.

  • in zh
  • 1 min read

使用HashiCorp Vault PKI和Cert Manager進行集中式TLS證書管理

擁抱零信任安全的HTTPS

在零信任安全的時代，HTTPS已成為保護網路流量的必要條件。它確保用戶與網站之間傳輸的數據被加密並被認證，防止監聽和中間人攻擊。

理解公鑰基礎建設 (PKI)

PKI是一個管理數字證書和公鑰加密的架構，使得網路上的通訊更安全。它包含創建、分發和管理數字證書的過程，這些證書用於驗證實體的身份以及加密資料。

傳統PKI管理的挑戰

手動管理PKI可能很繁瑣且容易出錯。該過程通常包括：

  1. 產生一對鍵和證書簽名請求 (CSR)。
  2. 提交支援請求以進行證書發行，這可能需要1到10天。
  3. 接收並配置返回的證書到服務。
  4. 定期旋轉證書以維護安全性。

這種手動方法不僅花費時間，而且增加了配置錯誤和安全違規的風險。

使用HashiCorp Vault簡化PKI

HashiCorp Vault通過自動化證書管理過程，為這些挑戰提供了解決方案。有了Vault的PKI Secret Engine，可以自動請求並更新證書，簡化了TLS證書的管理。

Vault PKI Secret Engine配置

要使用HashiCorp Vault PKI和Cert Manager設置集中式TLS證書管理，請按照以下步驟操作：

  1. 安裝PKI Secret Engine：在Vault中啟用PKI secret engine以開始發行證書。

shell vault secrets enable pki

  1. 配置Root CA：設置一個根證書授權(CA)或一個中間CA來簽證書。

shell vault write pki/root/generate/internal \ common_name="example.com" \ ttl=87600h

  1. 啟用Kubernetes身分驗證：配置Vault以驗證Kubernetes服務帳戶，允許Cert Manager與Vault互動。

shell vault auth enable kubernetes

  1. 配置Cert Manager：在您的Kubernetes集群中設置Cert Manager，以自動請求並更新來自Vault的證書。

yaml apiVersion: cert-manager.io/v1 kind: Issuer metadata: name: vault-issuer spec: vault: path: pki/sign/example-dot-com server: https://vault.example.com auth: kubernetes: role: cert-manager secretRef: name: vault-auth key: token

通過整合HashiCorp Vault PKI和Cert Manager，您可以實現TLS證書的自動和集中管理，減少手工作業並提高安全性。此配置確保您的服務始終使用最新的證書進行保護，符合零信任安全原則。

  • 2 min read

Securing Your Applications Anywhere with F5 and Hashicorp Vault

In today's rapidly evolving digital landscape, the deployment and security of applications have become more crucial than ever. Traditional application deployment methods, which can take weeks or even months, are no longer sufficient. Modern applications require modern solutions that provide consistent security controls and policies regardless of where they are deployed.

The Evolving Security Landscape

The security landscape has been changing dramatically, with the number of Common Vulnerabilities and Exposures (CVEs) found in the last four years surpassing the total of the previous decade. This surge in vulnerabilities has led to increased investments in addressing CVEs, with a significant focus on protecting applications from these threats.

CVEs can have a profound impact on organizations, leading to an increase in alerts, risk analysis, and the need for standby resources. Additionally, they often result in unplanned or out-of-band patches, further straining IT resources and budgets.

Addressing the Challenge with F5 and Hashicorp

To stay ahead of the curve in this evolving landscape, organizations need a robust framework for patch management, golden images, and hardening. This is where F5 and Hashicorp come into play, offering solutions that can address these challenges effectively.

Centralized Management with BIG-IP Next

F5's BIG-IP Next provides centralized management of instances, acting as a Single Source of Truth and enabling control access from anywhere. This simplifies the management of application delivery and security, ensuring consistent policies across all environments.

Enhancing Workflows with Terraform

F5 BIG-IP Solutions for Terraform support customers in their digital transformation journey. However, one challenge is the high domain knowledge required for BIG-IP. By leveraging Terraform, organizations can improve their workflows through automation, using it as a layer of abstraction to simplify the management of BIG-IP configurations.

Dynamic Certificate Management with Vault

Hashicorp Vault plays a crucial role in dynamic certificate management, offering a cloud-agnostic solution that is fully automated. This ensures that there are no downtime or outages caused by expiring certificates. Additionally, Vault enhances security by enabling the use of short-lived certificates, reducing the risk of exposure.

Conclusion

In summary, securing applications in today's ever-changing landscape requires a modern approach. By leveraging the combined strengths of F5 and Hashicorp Vault, organizations can ensure consistent security controls and policies, streamline their workflows, and stay ahead of emerging threats. This not only protects their applications but also supports their digital transformation initiatives.

  • in podcast
  • 2 min read

Securing Your Applications Anywhere with F5 and Hashicorp Vault

Welcome back to Continuous Improvement. I'm your host, Victor Leung, bringing you the latest in technology and business strategies. In today's episode, we're tackling a critical topic for every tech professional: the deployment and security of modern applications in our fast-evolving digital landscape.

As the digital threats grow more sophisticated, the methods we used a decade ago to deploy and secure applications simply don’t cut it anymore. The surge in Common Vulnerabilities and Exposures, or CVEs, in recent years has put a strain on organizations, pushing them to rethink their strategies to stay ahead of threats.

Let's dive into how modern solutions like F5’s BIG-IP Next and Hashicorp’s Vault are revolutionizing the way we manage application security.

First, let’s talk about F5’s BIG-IP Next. This platform is a game changer for centralized management of application instances. It acts as a Single Source of Truth and allows you to control access from anywhere, simplifying the management of application delivery and security policies across all environments.

But managing these solutions requires specific domain knowledge, especially with something as complex as BIG-IP. That’s where Terraform comes in. Terraform by Hashicorp helps organizations automate and streamline their workflows. It serves as a layer of abstraction that simplifies the management of BIG-IP configurations, making the digital transformation journey a bit smoother for everyone involved.

Now, let's talk about a crucial aspect of security—certificate management. Hashicorp Vault offers dynamic certificate management, which is cloud-agnostic and fully automated. This means no more downtime due to expiring certificates. Moreover, Vault supports the use of short-lived certificates, which dramatically reduces the risk of exposure.

These tools are essential in today's security landscape, where the ability to quickly adapt and respond to new threats is crucial. With F5 and Hashicorp, organizations can ensure consistent security controls and policies, no matter where their applications are deployed.

In conclusion, the combination of F5 and Hashicorp Vault provides a robust framework that not only enhances security but also supports broader digital transformation initiatives. It's about more than just protecting against threats—it's about enabling businesses to thrive in a digital-first world.

Thank you for tuning into Continuous Improvement. If you’re looking to deepen your understanding of modern technology solutions or to enhance your company’s digital strategy, keep us on your list. Subscribe and stay up to date with the latest trends and strategies. Until next time, keep improving, and remember, every step forward is a step toward achieving something bigger and better.

  • in zh
  • 1 min read

使用F5和Hashicorp Vault在任何地方保護您的應用程序

在今天迅速變化的數字化環境中，應用程序的部署和安全性比以往任何時候都更為重要。傳統的應用程序部署方法，可能需要幾週甚至幾個月的時間，已經不再足夠。現代的應用程序需要提供一致的安全控制和策略的現代解決方案，無論它們部署在何處。

不斷發展的安全景觀

安全性景觀的變化劇烈，過去四年中發現的常見漏洞和暴露（CVE）的數量超過了前十年的總數。這種漏洞的激增已經導致了在處理CVE方面的投資增加，其中重點放在保護應用程序不受這些威脅的影響上。

CVE可能對組織產生深遠的影響，導致警報增加，風險分析和待命資源的需求增加。此外，它們通常導致計劃外或超出頻寬的修補，進一步壓迫IT資源和預算。

使用F5和Hashicorp應對挑戰

為了在這個不斷變化的環境中領先一步，組織需要一個強大的用於修補管理、金像和強化的框架。這就是F5和Hashicorp發揮作用的地方，他們提供的解決方案可以有效地解決這些挑戰。

使用BIG-IP Next進行中心化管理

F5的BIG-IP Next 提供實例的中心化管理，充當唯一真理來源（Single Source of Truth），並能從任何地方控制訪問。這簡化了應用程序交付和安全的管理，確保所有環境的政策一致。

通過Terraform增強工作流程

F5 BIG-IP解決方案支援Terraform為客戶的數字化轉型之旅。然而，一個挑戰是 BIG-IP所需的高領域知識。通過利用Terraform，組織可以通過自動化改善其工作流程，將其作為一種抽象層來簡化BIG-IP配置的管理。

使用Vault進行動態證書管理

Hashicorp Vault在動態證書管理中發揮了關鍵作用，提供了一種完全自動化的，不受雲依賴的解決方案。 這確保了由證書到期引起的停機或損壞都不會發生。此外，Vault通過實現短期證書的使用，增強了安全性，降低了暴露的風險。

結論

總的來說，保護今天不斷變化的環境中的應用程序需要一種現代化的方法。 通過利用F5和Hashicorp Vault的組合優勢，組織可以確保一致的安全性控制和政策，簡化他們的工作流程，並在新的威脅面前保持領先地位。這不僅可以保護他們的應用程序，而且還可以支援他們的數字化轉型計劃。

  • 3 min read

Observability in GraphQL - Navigating the Complexities of Modern APIs

GraphQL has revolutionized the way we build and interact with APIs, offering a more flexible and efficient approach to data retrieval. However, with its advantages come new challenges in ensuring the reliability and performance of our systems. In this blog post, we'll explore the critical role of observability in managing and troubleshooting GraphQL-based architectures, focusing on three common issues: N+1 problems, cyclic queries, and the limitations of API gateways.

The Three Big Challenges of GraphQL

  1. N+1 Problem: This occurs when a single GraphQL query leads to multiple, sequential requests to a database or other data sources, resulting in inefficient data fetching and potential performance bottlenecks.
  2. Cyclic Queries: GraphQL's flexibility allows for complex queries, including those that unintentionally create cycles, leading to infinite loops and server crashes if not properly handled.
  3. API Gateways: While API gateways can provide a layer of security and abstraction, they can also obscure the underlying issues in GraphQL queries. They often return a generic 200 OK status, making it difficult to debug and troubleshoot specific problems.

The Evolution from Monitoring to Observability

Monitoring has traditionally been about answering the "what" - what's happening in our system? However, as our systems grow in complexity, simply knowing what's happening is no longer enough. We need to understand the "why" behind the issues. This is where observability comes in. It's an evolution of monitoring that provides deeper insights into the internal state of our systems, allowing us to diagnose and address problems that we might not have anticipated beforehand.

Leveraging Observability with Telemetry

One of the key components of observability is telemetry, which involves collecting and analyzing data about the operation of a system. OpenTelemetry has emerged as the new open-source standard for exposing observability data, offering a unified approach to collecting traces, metrics, and logs.

Traces in GraphQL

Traces are particularly useful in the context of GraphQL. They allow us to follow a request as it travels through a distributed system, providing a detailed view of how data is fetched and processed. This visibility is crucial for identifying and resolving issues like the N+1 problem or cyclic queries.

The Magic of Context Propagation and Instrumentation

The real magic of observability in GraphQL lies in two concepts: context propagation and instrumentation.

  • Context Propagation: This ensures that the metadata associated with a request is carried throughout the entire processing pipeline, allowing us to maintain a continuous trace of the request's journey.
  • Instrumentation: This involves adding monitoring capabilities to our codebase, enabling us to capture detailed information about the execution of GraphQL queries, including errors and performance metrics.

Instrumenting GraphQL for Error Capture

By instrumenting our GraphQL servers, we can capture errors and log them in a structured format. This data can then be fed into monitoring tools like Prometheus, allowing us to set up alerts and dashboards to track the health of our API.

Leveraging Open Source Tools for Observability

There are several open-source tools available that can enhance the observability of GraphQL systems. Jaeger, for example, is a popular tool for tracing distributed systems. It provides a visual representation of how requests flow through the system, making it easier to diagnose issues and understand the "why" behind the problems.

Conclusion

Observability is crucial for managing the complexities of modern GraphQL-based APIs. By leveraging telemetry, context propagation, and instrumentation, we can gain deeper insights into our systems, allowing us to proactively address issues and ensure the reliability and performance of our APIs. Open-source tools like OpenTelemetry and Jaeger play a vital role in this process, providing the necessary infrastructure to monitor and troubleshoot our systems effectively.

  • in podcast
  • 3 min read

Observability in GraphQL - Navigating the Complexities of Modern APIs

Welcome back to Continuous Improvement, the podcast where we explore how technology shapes our businesses and lives. I'm Victor Leung, and today, we're diving into a topic that's crucial for developers and IT professionals alike: the observability of GraphQL architectures. As we push the boundaries of API flexibility with GraphQL, we also encounter new challenges that can impact the reliability and performance of our systems. Let's unpack these issues and explore how we can manage them effectively.

GraphQL has certainly revolutionized the way we interact with APIs, offering a more efficient approach to data retrieval. However, it's not without its pitfalls. Today, we'll focus on three major challenges: the N+1 problem, cyclic queries, and the limitations posed by API gateways.

The N+1 problem is a common issue where a single GraphQL query causes an explosion of backend requests, each fetching data sequentially. This can slow down your system significantly. Then there's the issue of cyclic queries, where the flexibility of GraphQL allows for queries that can go in loops, potentially crashing your servers. And of course, API gateways—while they provide essential security and abstraction, they can sometimes mask underlying problems with generic status codes.

As our systems grow more complex, traditional monitoring techniques fall short. We need to move from simply monitoring our systems to observing them. Observability isn't just about knowing what's happening; it's about understanding why things happen. This deeper insight allows us to diagnose and resolve issues before they affect our system's performance.

A key component of observability is telemetry. OpenTelemetry, for instance, has set a new standard in this field, offering a unified way to collect traces, metrics, and logs. This is especially useful in GraphQL environments, where understanding how data flows through the system can help pinpoint issues like the N+1 problem or cyclic queries.

Tracing is particularly effective. It allows us to follow a request as it travels through our services, providing a detailed path of the query execution. This is crucial for spotting where things might be going wrong. And with context propagation and instrumentation, we can ensure that every piece of metadata in a request is carried through the entire process, giving us a complete picture of the transaction.

Instrumenting our GraphQL service to capture errors and log them systematically can transform how we manage APIs. Tools like Prometheus can then use this data to help us set up alerts and create dashboards that keep us informed about the health of our systems.

Let's not forget about the open-source community, which has provided tools like Jaeger for tracing distributed systems. Jaeger helps visualize request flows, making it easier to understand complex interactions and debug effectively.

In conclusion, as we navigate the complexities of GraphQL, embracing observability is key. By utilizing advanced telemetry, tracing, and open-source tools, we can ensure our APIs are not only flexible but also robust and reliable. Thank you for joining me on Continuous Improvement. If you’re interested in more insights on leveraging technology to enhance business processes and systems, don’t forget to subscribe. Until next time, keep evolving, keep improving, and remember—every line of code counts.

  • in zh
  • 1 min read

在GraphQL中的可觀察性 - 瀏覽現代API的複雜性

GraphQL已經徹底改變了我們建立和與API互動的方式，提供了更靈活和高效的數據檢索方法。然而，其優勢也帶來了新的挑戰，以確保我們系統的可靠性和性能。在這篇博客文章中，我們將探討在管理和排除GraphQL基礎架構問題中可觀察性的重要角色，著重於以下三個常見問題：N+1問題，循環查詢，以及API閘道的限制。

GraphQL的三大挑戰

  1. N+1問題：當一個GraphQL查詢導致對資料庫或其他數據源的多個連續請求時，就會發生這種問題，導致數據獲取效率低下並可能產生性能瓶頸。
  2. 循環查詢：GraphQL的靈活性允許複雜的查詢，包括那些無意間創建的循環，如果沒有適當處理，可能會導致無窮迴圈和伺服器崩潰。
  3. API閘道：雖然API閘道可以提供一層安全和抽象的層次，但它們也可能掩蓋GraphQL查詢中的原始問題。它們通常返回一個通用的200 OK狀態，使得難以調試和排出具體的問題。

從監控到可觀察性的演變

監視傳統上是關於回答"什麼"的問題 - 我們的系統發生了什麼？然而，隨著我們的系統變得越來越複雜，僅僅知道發生了什麼已經不再足夠。我們需要理解問題背後的"為什麼"。這就是可觀察性的用途。它是監控的進化，提供了對我們系統內部狀態的深入理解，使我們能夠診斷和解決我們可能事先未能預見的問題。

利用遙測進行可觀察性

可觀察性的一個關鍵組件是遙測，涉及收集和分析系統操作的數據。OpenTelemetry已經成為公開觀察性數據的新開源標準，提供了一種統一的方法來收集追蹤，指標和日誌。

在GraphQL中的追蹤

在GraphQL的上下文中，追蹤特別有用。它們讓我們能夠在分散的系統中跟蹤一個請求，提供了一種關於如何獲取和處理數據的詳細視圖。這種能見度對於識別和解決像N+1問題或循環查詢這類問題至關重要。

上下文傳播和儀器化的魔力

GraphQL中的可觀察性真正的魔力在於兩個概念：上下文傳播和儀器化。

  • 上下文傳播：確保與請求相關的元數據在整個處理流程中被攜帶，使我們能維護對請求旅程的連續追蹤。
  • 儀器化：這涉及向我們的代碼庫添加監控功能，使我們能夠捕獲GraphQL查詢執行的詳細信息，包括錯誤和性能指標。

為錯誤捕獲進行GraphQL的儀器化

通過對我們的GraphQL服務器進行儀器化，我們可以捕捉以結構化格式記錄的錯誤。隨後，這些數據可以餵給像Prometheus之類的監控工具，使我們能設定警告和展板以跟蹤API的健康狀況。

利用開源工具進行可觀察性

有許多開源工具可以增強GraphQL系統的可觀察性。例如，Jaeger是一種用於追蹤分散系統的受歡迎的工具。它提供了一種在系統中請求流動的視覺化表示，使得診斷問題並理解問題背後的"為什麼"變得更為簡單。

結論

可觀察性對於管理現代基於GraphQL的API的複雜性至關重要。通過利用遙測，上下文傳播，以及儀器化，我們可以對我們的系統獲得更深入的理解，使我們能夠主動解決問題並確保我們的API的可靠性和性能。像OpenTelemetry和Jaeger這樣的開源工具在此過程中起著至關重要的角色，提供了監控和有效排除我們系統的必要基礎設施。