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Drive Flexible Infrastructure Consumption, Automation and Orchestration for All

Platform Savings for Hybrid Cloud In today’s dynamic business landscape, agility, scalability, and efficiency are prized possessions. Yet, organizations still face numerous challenges including tightening budgets, IT enablement of new pop-up business opportunities, rising costs, cyberattacks, new technology adoption, such as Gen AI, lack of technical knowledge and increasing demand for innovation.

Our methods and challenges of integrating 100+ SaaS APIs

In the era of big data, where information serves as the lifeblood of digital interconnectedness, the ability to seamlessly harness and analyze data is paramount. Data, with its transformative potential, connects the world, enables deep analysis, and underpins critical decision-making processes. At Databox, our mission is to empower businesses to enhance their performance through robust data analytics.

A New Kind of Hybrid Cloud, Built for Partner Simplicity

In light of tightening budgets, rising costs, and heightened demand for compliance and innovation, there’s no doubt that many companies are increasingly relying on hybrid cloud environments to modernize their current infrastructure and IT operations. But, according to a recent survey, nearly half of businesses are struggling due to the rapid integration of cloud technologies, the complexity of integration processes, a lack of skilled personnel, and the need for comprehensive cybersecurity measures.

Top Trends in AI for Federal Government

AI is emerging as an important tool for meeting the mission at federal government agencies. It can add efficiency and aid decision-making by: Many government agencies are already using AI processes. Below are some important use cases for AI in federal government: And that’s just a small sample of the ways federal agencies are using AI. Thousands more use cases have been identified related to national security, healthcare, transportation, and more.

An Introduction to Testing with Django for Python

In a world of ever-changing technology, testing is an integral part of writing robust and reliable software. Tests verify that your code behaves as expected, make it easier to maintain and refactor code, and serve as documentation for your code. There are two widely used testing frameworks for testing Django applications: In this article, we will see how both work. Let's get started!

Streams Replication Manager Prefixless Replication

Replication is a crucial capability in distributed systems to address challenges related to fault tolerance, high availability, load balancing, scalability, data locality, network efficiency, and data durability. It forms a foundational element for building robust and reliable distributed architectures. It is also important to have multiple options (like normal and prefixless replication) to do the replication process, since every solution has its own advantages.

Introducing the New and Improved TrueTest From Katalon

Dear Katalon Community, I'm thrilled to share with you the latest updates on TrueTest, Katalon's innovative product designed to revolutionize the way you approach regression testing. As the Product Manager for TrueTest, I've seen firsthand the evolution of this tool, and I'm excited to share our journey and the major improvements we've incorporated in our new release.