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.

At Databox, we put our company values at the forefront of everything we do. Prioritizing customer impact is one of the values we focus on the most, so taking the time to really understand our customers is paramount and we employ multiple strategies, frameworks, and initiatives on a daily basis to achieve this. One of those strategies is our Customer Lifecycle Framework (CLF), which reflects our dedication to prioritizing the needs of our customers at every stage of their interaction with us.

In the modern IT stack, API gateways act as the first line of defense against attacks on backend services by enforcing authentication/authorization policies and validating and transforming requests. When backend services are protected with a token-based approach, client applications must obtain an access token to access the protected resource.

After getting our Konnect Data Planes vertically and horizontally scaled, with VPA and HPA, it's time to explore the Kubernete Node Autoscaler options. In this post, we start with the Cluster Autoscaler mechanism. (Part 4 in this series is dedicated to Karpenter.)

Today, Site Reliability Engineering (SRE) emerges as the key player in the fast-paced modern industries, where the demand for seamless software delivery collides with the need for reliability, maintaining this delicate equilibrium. It’s not merely a role; it’s a strategic position that safeguards system health while strategically mitigating the financial pitfalls associated with downtime.