Systems | Development | Analytics | API | Testing

Three thought leaders explore how cloud technology is reshaping data architecture and revolutionizing analytics.

Enterprises are quickly evolving from a posture that approached the cloud as a kind of playground to one that goes all in to achieve cloud-first, cloud-native IT. With this transition from free-for-all to mature-business-service architecture, usually involving multiple public cloud providers, comes the need to answer some thorny questions. It’s no longer sufficient to endlessly pile on additional cloud services to a growing hybrid or distributed cloud infrastructure.

The cloud is a hot topic for everyone from small companies to multinational corporations, but it's also a vast term that covers a lot of online ground. It's more important than ever to appreciate the differences and benefits of the different cloud providers when you consider moving your company to the cloud, whether for application or infrastructure deployment. Infrastructure-as-a-service (IaaS) is a cloud-based service that provides virtualized computing resources to businesses over the internet.

The move to cloud computing has been a no-brainer for many enterprise companies. But cloud computing is an expense that, unlike many other operating costs, is largely variable. Many companies — including the fastest-growing startups, largest enterprises, and leading government agencies — choose AWS to help them streamline fragmented processes, reduce costs, become more agile, and innovate faster.

Data migration seems simple from a high-level point of view. After all, you’re simply moving data between two or more locations. In practice, however, migrating data can be one of your IT department’s trickiest data management initiatives. According to LogicWorks, 90 percent of CIOs in charge of data migrations moving from on-premises to the cloud have encountered problems during this process, with 75 percent missing planned deadlines.

As the amount of data companies are faced with snowballs, the need for efficient data governance grows. An increasing number of organizations are turning to cloud service providers for data management. In this context, data as a service, often referred to as DaaS, is becoming an essential tool for managing data integration, data storage, and data analytics.

As we've discussed in our previous Service Discovery post, decoupled services in a microservice architecture communicate via APIs. But what about the communication between clients outside of your system and the services within your application? How does that communication work? An API gateway is a powerful component in a microservice architecture. Pairing its functionality with a serverless platform like Koyeb saves engineering teams time and maximizes computing resources efficiency.

One of the most powerful capabilities provided by Kong Konnect Enterprise is the support for Hybrid deployments. In other words, it implements distributed API Gateway Clusters with multiple instances running on several environments at the same time. Moreover, Kong Enterprise provides a new topology option, named Hybrid Mode, with a total separation of the Control Plane (CP) and Data Plane (DP).

BDQ is a Zephyr Expert Partner and Atlassian Solution Partner based in London, England. Our core focus is ensuring that the Atlassian technology stack and Zephyr agile test management products deliver value to our customers through digital transformation. We provide consultancy, training, and workshops on implementing Zephyr Squad (previously known as Zephyr for Jira). Our goal is to empower teams to test effectively in agile scrum.