With 2023 behind us, it's time to predict new trends for the upcoming year. In 2024, we can expect to see an increase in fast and gradual releases powered by an Agile and DevOps approach, as well as a stronger reliance on automation, AI, and machine learning. An overarching theme this year is the focus on 'quality of speed', as developers look for new ways to test software quickly without compromising on quality.

As the world grapples with the escalating climate crisis, many industries are re-examining their operations to identify and implement sustainable practices. The telecommunications industry is no exception. Telecom companies face growing pressure from consumers, investors and regulators to reduce their carbon footprint and achieve net-zero emissions. This shift towards sustainability aligns with environmental responsibility and presents lucrative business opportunities for telecoms.

Sifting through vast amounts of data for usable information is both challenging and time-consuming for independent software vendors (ISV) in today’s fast-paced market. But without a continuous search for timely insights, you risk your end-users missing critical business opportunities, or failing to address emerging issues in their data promptly, potentially leading to dissatisfaction and churn.

Data is often described with cliches like, it's "the new oil" or “the new air.” No matter how you describe it, there is no denying the increasing importance of data monetization across every industry. Forward-thinking organizations recognize data apps as both a revenue stream and a differentiated service to increase customer loyalty.

Gen AI is quickly reshaping industries, and the pace of innovation is incredible to witness. The introduction of ChatGPT, Microsoft Copilot, Midjourney, Stable Diffusion and many more incredible tools have opened up new possibilities we couldn’t have imagined 18 months ago. While building gen AI application pilots is fairly straightforward, scaling them to production-ready, customer-facing implementations is a novel challenge for enterprises, and especially for the financial services sector.

Imagine you’re a miner with a canary in a cage. If the air is toxic, the canary reacts first, giving you a heads-up. Canary testing works in a similar fashion for your software. Instead of releasing the whole flock (users) into a potentially toxic or buggy environment, you release just one canary (a small subset of users) to test the waters.

We are thrilled to announce the public beta release of Multiplayer, a platform created to transform the way teams design, develop, and manage distributed software.

The most significant relief from performance issues and costly technical liabilities comes from resolving architectural technical debt. This blog post delves into the best strategies to achieve that.

Snowflake and Oracle Autonomous Data Warehouse are two cloud data warehouses that provide you with a Single Source Of Truth (SSOT) for all the data that exists in your organization. You can use either of these warehouses to run data through business intelligence (BI) tools and automate insights for decision-making. But which one should you add to your tech stack?

Do you have a ton of data sources and do not know how to expose them? Do you know you need a Microsoft SQL Server API but don’t know where to begin to build it? Look no further, DreamFactory can take any database and generate a fully documented and secure REST API faster than making a sandwich. All you need is your database credentials and DreamFactory will handle the rest, instantly generating Swagger API documentation and securing your API by way of API keys.