We've just rolled out new trigger controls and enhanced YAML syntax so you can initiate your builds with unmatched precision.

There are several ways to handle load spikes on a service. However, these methods are not cost-effective: you either pay for resources you don't use, or you risk not having enough resources to handle the load. Fortunately, there is a third way: horizontal autoscaling. Horizontal autoscaling is the process of dynamically adjusting the number of instances of a service based on the current load. This way, you only pay for the resources you use, and you can handle load spikes without any manual intervention.

Since Snowflake’s Dynamic Tables went into preview, we have worked with hundreds of customers to understand the challenges they faced producing high-quality data quickly and at scale. The No. 1 pain point: Data pipelines are becoming increasingly complex. This rising complexity is a result of myriad factors.

Have you ever come across a website that made you scroll over it again just to see the motions and transitions and made you GASP, thinking how hard it must be to create these amazing animations, One such animation I saw on keploy website, the parallax effect which made me go through there Developer section twice!

Snowflake is dedicated to providing customers with intuitive solutions that streamline their operations and drive success. As part of our ongoing commitment to helping customers in this way, we’re introducing updates to the Cost Management Interface to make managing Snowflake spend easier at an organization level and accessible to more roles.

Geopolitical Instability Raises Threat of ‘Catastrophic Cyberattack in Next Two Years’- Global Cybersecurity Outlook 2023 – World Economic Forum As the world’s attention remains fixated on the unfolding events in Taiwan, Ukraine & Iran, it’s crucial to recognize that the theater of battle extends far beyond physical borders into the shadowy area of cybersecurity.

When you’re ready to make the transition from manual testing to test automation, it’s natural to consider hiring. A QA engineer — who has the technical skills to write and maintain automated tests in an open-source framework — can take the burden of end-to-end test management off of your development team, allowing them to ship more code, faster. But hiring a good QA engineer is — often prohibitively — expensive.

Unlocking the power of AI within SAP for your team requires overcoming a significant hurdle: data accessibility. SAP data’s complexity, spread across various modules, creates silos of information that your team might struggle to understand and utilize effectively. Inaccessible or misaligned SAP data will hinder your AI system’s ability to learn and deliver valuable results specific to your organization.