Campaign Group metrics for LinkedIn Ads are now available in Databox, giving you more granular insights into the performance of your campaigns.

Previously Loadero had the same amount of compute power assigned to each participant in every test, but applications that our customers test are different and have different demands for end user machine resources. That is why we added compute units to give our customers better flexibility in test creation. This also allows to run much larger load tests as well as optimize cost of running the tests for the applications that don’t use much compute power.

After having announced Kuma 1.0 GA with over 70+ new features and improvements (and Kuma 1.0.1 this week), we are finally happy to announce a new major version of Kong Mesh that includes all the latest Kuma features – and more – in a fully supported enterprise package. With Kong Mesh 1.1 we can now deploy the most advanced enterprise service mesh in production across every cloud and private datacenter, on both Kubernetes and virtual machines.

As many countries face another wave of COVID-19 cases, organizations around the world are planning new ways to keep their workforces safe. Leading companies have made huge strides in managing coronavirus while keeping their workplaces open. But despite how far we’ve come, many employees still doubt that their organizations are ready to respond to COVID-19.

Retaining customers is more important for survival than ever. For businesses that rely on very high user volume, like mobile apps, video streaming, social media, e-commerce and gaming, fighting churn is an existential challenge. Data scientists are leading the fight to convert and retain high LTV (lifetime value) users.

With the complexity of data growing across the enterprise and emerging approaches to machine learning and AI use cases, data scientists and machine learning engineers have needed more versatile and efficient ways of enabling data access, faster processing, and better, more customizable resource management across their machine learning projects.

Learn the how and what of analytics and data integration. This is the first in a two-part abridged version of The Essential Guide to Data Integration. Read Part 2 here, and get the full book for free here! You can also watch the webinar. What is data analytics How do you integrate data? Should you build or buy a data analytics solution? What are some business and technical considerations for choosing a data analytics tool, and how can you get started? Let’s start with the first two questions.

Without an overarching company data culture, even the best technology tools won’t get you where you want to go, say the co-founders of Data Culture. Data isn’t just a tech solution. For Gabi Steele and Leah Weiss, founders of the consultancy Data Culture, it’s also a “people” solution. Even within companies that enthusiastically embrace a cloud-based modern data stack, a substantial gap often exists between the business and data sides of the organization.

Leaving movie quotes aside, load testing helps you understand how your application behaves under both normal and peak conditions, and discover what is causing the degradation. But truly, the main goal of load testing is not to lose customers. You don’t do load testing for the sake of doing load testing.

We are happy to announce the release of Kuma 1.0.1 with a few improvements and fixes, and we suggest to upgrade to start using the greatest and latest. This is a minor update on top of Kuma 1.0 that shipped last week with over 70+ features and improvements. For a complete list of features and updates, take a look at the full changelog. Join us on our community channels to learn more about Kuma, including our official Slack chat.