Our digital world is brimming with an infinite number of gadgets that operate on multiple operating systems. So, how do you go about creating a mobile app for your business that can reach broader audiences efficiently and effectively without any glitches? Well, that’s a tough nut to crack! As the resources necessary to develop applications for multiple platforms and choosing the best mobile app development company may be cumbersome for small businesses.

REST and SOAP are two critical web services technologies that revolutionize how businesses use APIs. Since APIs are so common, it's important to test them regularly to find vulnerabilities or potential operating problems within the web service. To test a SOAP or REST service, you can use tools like SoapUI or Postman to send requests to the service endpoint, validate responses, and verify that the service behaves as expected under various conditions.

API rate limiting involves using a mechanism to control the number of requests an API can handle in a certain time period. It's a key process for ensuring that APIs perform to a high level, provide a quality user experience, and protect the system from overload.

As a developer working with microservices architectures, you may find yourself facing numerous challenges. Managing multiple services, each with its own potential points of failure, can be complex. Issues such as communication difficulties, security concerns, and lack of visibility are common in these environments. These challenges are not unique. As microservices architectures expand, they often introduce complexities that can be demanding for development teams to handle.

Do you write Elixir but sometimes miss the benefits of type safety we have in other languages? If the answer is "yes", you may want to take a look at Gleam. It is a relatively young language that runs on top of the BEAM platform, which means it can be added as an enhancement to an Elixir codebase without you having to rewrite everything. In this article, we will add Gleam code to an Elixir project.

Today, Snowflake is excited to announce that the Llama 3.1 collection of multilingual large language models (LLMs) are now available in Snowflake Cortex AI, providing enterprises with secure, serverless access to Meta’s most advanced open source model. Snowflake offers the largest context window of any vendor, at 128k, for the Llama 3.1 collection of models.

Python is renowned for its simplicity and readability, making it a favorite among both beginners and seasoned developers. However, even the most experienced programmers encounter syntax errors that can bring their code to a screeching halt. These pesky errors can be frustrating, but understanding their nature and how to resolve them is essential for any Python coder.

Having strong security testing services are crucial, as demonstrated by the recent incident involving top cybersecurity service CrowdStrike, which rocked the industry. A global outage hurting companies, airlines, and government institutions throughout the globe was caused by a defective upgrade to their Falcon Sensor software. This terrible episode serves as a clear warning of the possible repercussions when security updates, intended to protect systems, contain undetected flaws.

MotherDuck’s co-founder and CEO Jordan Tigani sat down with Fivetran’s co-founder and CEO George Fraser to discuss the evolutions in data processing, data lakes and more.

Legacy databases often come with numerous challenges, such as limited scalability, outdated security measures, and compatibility issues with modern applications. These constraints can hinder business agility and increase maintenance costs. Modernizing your database infrastructure is crucial for leveraging advanced features, enhancing security, and ensuring seamless integration with contemporary software.