Systems | Development | Analytics | API | Testing

Learn how these trends highlight the growing importance and adoption of cloud-based solutions for businesses of all sizes.

Today Snowflake is officially launching the Telecom Data Cloud. Snowflake’s newest Data Cloud helps telecommunications service providers break down data silos within the business and across the ecosystem, allowing organizations to easily and securely access data in near real time, enrich it with machine learning models, and then share and analyze it to drive better decision-making.

When thinking about a product analytics solution, an essential component of the process lies in deciding between two types of data storage: cloud or on-premise. Each has its advantages and disadvantages depending on a number of factors, such as the stage or size of a business, budget, etc. Before we can tackle these variables, we should understand what each option entails.

Today, we are glad to release the Koyeb Terraform Provider and announce that we are a Hashicorp Technology partner. Terraform has become an essential tool for many developers who manage infrastructure and applications running in the cloud. We are excited to offer our users a way to manage their Koyeb resources using Terraform.

Streaming analytics in AWS gives enterprises the ability to process and analyze log data in real time, enabling use cases that range from delivering personalized customer experiences to anomaly and fraud detection, application troubleshooting, and user behavior analysis. In the past, real-time log analytics solutions could process just a few thousand records per second and it would still take minutes or hours to process the data and get answers.

Uncontrolled cloud costs pose an enormous risk for any organization. The longer these costs go ungoverned, the greater your risk. Volatile, unforeseen expenses eat into profits. Budgets become unstable. Waste and inefficiency go unchecked. Making strategic decisions becomes difficult, if not impossible. Uncertainty reigns.

Most software projects leverage synthetic tests to verify functionality early on, but physical devices are the ultimate form of quality assurance. While a few smartphones may suffice early on, a growing user base means quality assurance teams must ensure support for a broad range of devices, operating systems, and browsers with public or private device clouds. Device clouds make it easier to manage devices and run automated tests from anywhere.