Systems | Development | Analytics | API | Testing

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What Happens When You Ignore Quality

Is speed more important than quality in software development? While getting products to market quickly is tempting, cutting corners on quality can lead to costly bugs and system failures that may result in a large-scale failure and damage your reputation. The real solution? Investing in more QA professionals to ensure your software is both fast and flawless. QA is not just about finding bugs; it's about ensuring the overall health and success of a software project.

11 Mobile App Testing Trends: What to Watch Out For in 2024?

Did you know that 90% of mobile users abandon an app because of bugs or performance issues? Smooth app functionality is key nowadays. Without it, users leave quickly. But with technology constantly changing, how do you stay ahead? This blog focuses on solving that problem. It explores 11 mobile app testing trends you need to know for 2024. Trends like AI-powered testing, scriptless automation, and IoT testing.

Koyeb Launch Week: Round 2

Welcome to our second launch week! After the success of our very first Launch Week in June, we’re back with another batch of announcements! Last Launch Week, we released: We had a blast rolling out so many new features and announcements at once, we decided we wanted to do it again! So here we are, gearing up for our second launch week in 3 months. If you follow our changelog updates on the Koyeb Community, you’ve seen what we’ve been working on and delivering since then.

Speedscale vs Coder: Ephemeral Developer Environments for Different Needs

Speedscale and Coder are two distinct tools that, while both aim to increase developer productivity, serve fundamentally different purposes. Both provide software development environments for enhancing productivity and collaboration in software development teams.

Databricks Data Lakehouse Versus a Data Warehouse: What's the Difference?

Businesses today rely heavily on data to inform decisions, predict trends, and optimize operations. However, more data volume and complexity has led to growing pressure to find scalable, cost-effective solutions for data storage while staying within IT budgets. Companies want to handle both structured and unstructured data efficiently, while supporting advanced data analysis and machine learning use cases.

New research from Confluent sees IT leaders share their biggest AI implementation challenges

12th September 2024 - Skills shortages are the #1 challenge facing IT leaders looking to implement artificial intelligence in 2024. That's according to research from Confluent, released ahead of this year's BigData LDN event. The research, which surveyed over 500 UK IT leaders, explores the top challenges facing IT departments when it comes to adopting and implementing AI.

SaaS Application Testing Common Challenges and Its Solutions

In the current software market, products are being introduced in the market at a very fast rate, with new versions being brought out almost every month, if not weekly. This is a good thing as it keeps the products evolving, but at the same time, it is not without its problems, and the most evident of these is the existence of problems and bugs.

Using DreamFactory for High-Performance API Needs

As applications increasingly rely on APIs to drive critical functionalities, the demand for high-performance, scalable, and secure API management solutions has never been greater. DreamFactory, an on-premise API generation and management platform, is designed to meet these needs by providing robust features such as rate limiting, caching, SQL function integration, and multi-tier architecture.