Essential Tools and Java Libraries for Startups: A Deep Dive
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Chapter 1: Introduction to Startup Tools
Navigating the landscape of tools and libraries can be overwhelming, given the multitude available today. This article aims to highlight some of the most prevalent tools and libraries utilized by startups, particularly those with over 50 million daily users.
A bit about myself:
I'm Shubham, a Team Lead and Senior Software Developer at PayPay. My background includes experience at well-known companies like Amazon, providing me with a unique perspective on the tools favored in startups compared to established firms.
Let’s dive straight into the discussion.
Section 1.1: Kibana Discover
Kibana stands out as a leading tool for visualizing and querying data from Elasticsearch. Its seamless integration with Elasticsearch and the ELK Stack allows it to transform vast amounts of data into searchable, indexed, and visually insightful information in real-time. A common use case is analyzing application logs for debugging purposes. This tool is indispensable for software developers in their daily tasks.
Kibana Discover is notably efficient, capable of querying millions of records in mere seconds. Its user-friendly querying system employs KQL (Kibana Query Language) and LQS (Lucene Query Syntax) to extract the necessary data.
If you’re interested, let me know in the comments, and I’ll create a detailed guide on setting up Kibana locally or utilizing a cloud-hosted Kibana service (like AWS).
This video, "How to explore and query your data with Discover," provides an in-depth look at using Kibana Discover for efficient data querying and visualization.
Section 1.2: Docker
Docker has gained immense popularity, being adopted by nearly every organization. This open-source platform facilitates application development by encapsulating applications within isolated environments called containers.
A container operates as a sandbox, maintaining its own defined resources and dependencies, thus eliminating reliance on the host operating system.
For Gradle users, there's a noteworthy library that aids in composing Docker containers during runtime for integration tests and local executions. It's beneficial for integrating Docker within Gradle's environment.
Section 1.3: Sleuth and Zipkin
Spring Cloud Sleuth offers APIs for distributed tracing within Spring Cloud, integrating with OpenZipkin Brave. This library is essential for any Spring project, providing distributed tracing and data visualization capabilities.
Why is tracing necessary? In complex architectures, tracking the flow of requests across multiple microservices can be challenging, especially when each microservice generates extensive logs. Tracing with a common trace value allows for easier debugging by bundling logs related to specific requests.
Recent updates in Spring Boot 3.x have migrated key components of the Sleuth library into Micrometry Tracing.
Section 1.4: Terraform
Terraform is a powerful tool that serves as the backbone for any technology startup's infrastructure. In essence, it embodies "Infrastructure as Code," enabling the creation, modification, and versioning of infrastructure safely and effectively.
This includes managing resources like Docker instances, networking, and cloud services across platforms such as AWS and GCP. Its user-friendly documentation makes it a preferred choice among DevOps engineers.
In the video "Finding insights and taking action in Discover," learn how to leverage Terraform for effective infrastructure management and insights.
Conclusion
This concludes Part #1 of our exploration into essential tools and libraries for startups. I appreciate you taking the time to read through this article and hope you’ve gained valuable insights. Stay tuned for more technical content in the future.
Shubham Matta (voidcoder) - Medium
Read more from Shubham Matta (voidcoder) on Medium.