Systems | Development | Analytics | API | Testing

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Data Platform Economics: Measuring and Improving Cost-per-App in Databricks

80% of data management experts struggle to forecast data-related cloud costs with precision (Forrester). The root causes? A critical shortage of granular visibility needed for accurate cost allocation, fragmented data siloed away from those who need it most, and a notable absence of AI-driven tools and automated processes capable of predicting future expenditures. Learn how to get granular costs with ease using Unravel Data. Join this Weekly Walkthrough series, FinOps Metrics that Matter, to understand the critical benefits of drilling down into your costs at the most detailed levels.

Navigate the New Era of Data Management in Mid-Sized Enterprises

In the modern digital landscape, data grows at an astonishing rate. Mid-sized enterprises struggle to manage its volume and velocity, let alone its value. Today’s complex data environments must span hybrid and multicloud setups. And as transformative technologies like generative AI (GenAI) matter more to business operations, they must manage skyrocketing demand for sophisticated, flexible and scalable data solutions.

Tricentis NeoLoad 2024.3: Elevating legacy performance testing with remote terminal emulation (RTE)

We are thrilled to announce the release of Tricentis NeoLoad 2024.3, the latest update to our industry-leading performance testing platform. This release brings with it significant advancements, most notably support for Remote Terminal Emulation (RTE) — allowing organizations to performance test legacy systems.

SAP S/4HANA Cloud Public Edition: Top Migration Challenges and Solutions

Your organization has decided to make the leap to SAP S/4HANA Cloud Public Edition, a strategic choice that offers improved performance, advanced analytics, and more efficient support for your business operations. While this cloud ERP offers streamlined processes and improved scalability, it also limits the level of customization that finance teams have come to rely on for tailored, actionable insights. The result post-migration?

How claims processing automation can streamline your work?

Have you ever wondered why claim processing often takes so long? Or why so many errors happen in what should be a simple process? In fact, research shows that manual claim processing can lead to up to 30% errors and 50% higher costs due to inefficiencies. These delays don’t just frustrate customers- they also slow down business operations and impact revenue.

Expert Q&A: Hybrid vs native development, which is best?

Speed is everything in today's fast-moving business world. For software developers, this means the race is on to get new apps to market faster and better than competitors. In light of this constant pressure to deliver, it's no surprise that the demand for hybrid development continues to rise. After all, with one codebase that runs on multiple platforms, how can you go wrong? In reality the choice is not always so clear-cut.

How to Track Errors in Oban for Elixir Using AppSignal

When developing an Elixir app, you'll often need to handle tasks in a way that does not interrupt the normal user request-response cycle. Tasks like sending emails are great examples of jobs that should be delegated to a capable background job processing service. In the Elixir ecosystem, Oban is one such background job processing library. In this article, we'll learn what Oban is, how it works, and how to instrument it using AppSignal.

How To Upgrade Legacy Applications in Your Organization

Legacy applications pose multiple problems for data-driven organizations like yours. Outdated software might no longer receive support and maintenance from its vendor or might not integrate with modern technologies like cloud computing. Still, these applications are essential for day-to-day business tasks, and replacing them could impede productivity and profitability.

What are Ephemeral Environments?

Development teams and product managers have many variables that affect their daily processes, but perhaps the most impactful is the nature of their development environment. Having a proper development environment can fundamentally change the efficacy of an entire engineering team, unlocking incredible productivity and iterative development at scale.

Snowflake Simplifies Data Architecture, Data Governance and Security to Accelerate Value Across All Workloads

It’s easy these days for an organization’s data infrastructure to begin looking like a maze, with an accumulation of point solutions here and there. While some businesses find ways to stitch together many tools with complex pipelines, wouldn’t it be better if you could remove some of the steps? What if you could streamline your efforts while still building an architecture that best fits your business and technology needs?