Atatus

Chennai, India
2014
  |  By Sujitha Sakthivel
AWS Lambda has become a cornerstone of serverless architecture, enabling developers to run code without provisioning or managing servers. However, as applications grow, managing shared code, dependencies, and runtime configuration across multiple Lambda functions becomes challenging. This is where Lambda Layers step in to streamline development and deployment. In this blog we will explore what Lambda Layers are, why they are needed, how they work, and much more.
  |  By Pavithra Parthiban
Releasing a beta version of a Node.js package is a common practice when you want to share a new feature or a breaking change with testers or early adopters without affecting your stable users. Beta releases are tagged with a special version identifier (like 1.0.0-beta.0), making it clear that the version is pre-release and not production-ready. In this guide, we will cover the steps to release a beta version of your package using npm, ensuring a smooth and controlled release process.
  |  By Pavithra Parthiban
The sed command in Linux is a stream editor and a versatile text-processing tool. It allows users to efficiently transform text by parsing and modifying data from files or input streams. Whether you need to replace words, remove lines, or handle patterns, sed simplifies repetitive tasks and boosts productivity. In this blog, we will explore the basics of sed command, understand its syntax, and share practical examples to show how it makes text processing easier.
  |  By Pavithra Parthiban
Hashing is a cornerstone of computer science, used extensively in data structures, cryptography, and distributed systems. Among various hashing algorithms, MurmurHash stands out for its speed, efficiency, and suitability for non-cryptographic applications. In this blog, we will delve into what MurmurHash is, when to use it, and how it compares to other hashing techniques, along with practical examples.
  |  By Pavithra Parthiban
PostgreSQL's EXPLAIN command is a powerful tool that provides insights into how a query will be executed. It helps developers and database administrators identify potential performance issues in their queries. In this blog, we will explore what EXPLAIN is, when to use it, how to interpret its output, and techniques for optimizing queries based on the insights it provides.
  |  By Pavithra Parthiban
Logs play a vital role in understanding how applications and systems perform, but unstructured log data can be hard to analyse. The Grok parser helps by converting raw logs into structured, readable formats. It is widely used for extracting information such as timestamps, error codes, and IP addresses from logs, making them easier to analyse and query.
  |  By Pavithra Parthiban
When building applications with Docker Compose, it's common to encounter duplicate configurations across services, especially as projects grow and configurations become more complex. The benefits of using aliases in Docker Compose are crucial in this scenario. Docker Compose aliases provide a way to streamline this setup, reduce redundancy, and simplify logging configuration.
  |  By Pavithra Parthiban
ClickHouse is a high-performance, columnar database designed for analytics and big data applications. One of ClickHouse's standout features is its ability to perform filtering directly on compressed data, enabling faster results compared to traditional relational databases. While working with ClickHouse, you will often encounter the WHERE and PREWHERE clauses, both of which are used to filter data. But what is the difference between WHERE and PREWHERE, and when should you use one over the other?
  |  By Pavithra Parthiban
Node.js is a powerful runtime environment that allows you to handle asynchronous I/O operations efficiently using its event-driven architecture. Asynchronous operations in Node.js rely heavily on the event loop, and understanding how certain functions like process.nextTick() and setImmediate() interact with the event loop is essential for building fast, responsive applications.
  |  By Pavithra Parthiban
Rounding numbers in Python is an important concept that simplifies calculations and improves the accuracy of results. It helps you adjust numbers by changing them to the nearest whole number or to a specific number of decimal places. Whether you are working with financial data, scientific measurements, or just everyday calculations, rounding ensures that your results are easy to interpret and use.

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