Systems | Development | Analytics | API | Testing

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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.

The What, Why, and How of Flaky Tests

Flaky tests are the bane of every developer and quality assurance engineer’s existence. One day, they pass, the next they fail—without any changes to the code. They are unreliable and hinder trust in automation. A study by Mabl found that as much as 50% of test failures are caused by flakiness. So what exactly is a flaky test, what causes it, and how can you fix it? Our article has the answers to these questions and more. Read on to find out.

Revolutionize Digital Experiences: Unleashing the Power of WSO2 Identity Server 7.0

Watch our online meetup to learn how to implement seamless, secure access, and engage with industry experts. Whether you're a developer or architect, this session will provide valuable insights and practical guidance. Key Topics: Optimizing developer experiences API-driven, app-native/browserless authentication experiences Organization management for B2B SaaS applications Creating frictionless, secure access for your employees, consumers, and business customers.

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.

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.

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.

Data Actionability: Boost Productivity with Unravel's New DataOps AI Agent

Right now, 88% of companies surveyed are turning to AI to improve bug-fixing effectiveness. Why? Troubleshooting modern data stacks is typically a toilsome and manual process. The good news – data teams that use DataOps practices and tools will be 10 times more productive (Gartner). With this in mind, Unravel introduces the new DataOps AI Agent. Learn how this new AI agent enables teams to go beyond observing data pipelines and errors to taking immediate action with purpose-built AI and automation.

How GenAI early adopters gain a competitive advantage in analytics

With generative AI, you have the opportunity to deliver a data strategy that helps business people answer their most pressing data questions—providing unprecedented value to your internal teams, partners, and customers. Hype around GenAI has overwhelmed people with too many use cases and too little focus on achievable value. That’s why we sponsored a first-of-its-kind survey with MIT SMR Connections, asking 1k global data and business leaders questions.