Systems | Development | Analytics | API | Testing

From now on, you can check code coverage and use the Test Reports add-on with your Flutter apps as well. Woo-hoo! 🎉

The Industry Transformation category at the Data Impact Awards has never been more timely. While the business world is mostly focused on digital transformation, Cloudera and our customers know that true, data-driven change is reshaping whole enterprises and entire industries.

Not sure why your audience isn’t spending time on your pages? Try these 25 proven tips to improve dwell today and get more people to stay on your site.

The traditional definition of API monitoring has been around for years from companies like SmartBear, APIMetrics, and Runscope and useful to check API correctness and performance. An API monitoring tool initiates API calls against your chosen endpoints and then records the response received. Additional checks can be added such as create a slack alert on a 500 error or timeout.

You know the feeling. You’ve just deployed a new version to production and are monitoring the Rollbar dashboard for any new errors or looking out for any Slack notifications. You’re keeping an eye on the number of new or reactivated errors, their severity level, and triaging to see which errors need to be assigned and to whom. Now what if you could automate these tasks?

For many companies, cloud costs are among the top investments these days. With a growing number of services, instances and regions, cloud cost optimization is becoming increasingly painful. Companies use cloud management platforms to optimize costs and increase cloud visibility and security. But staying on top of AWS budgets requires proficiency, agility and time—especially when any glitch can result in massive cost bleeds.

Cloud for analytics may be the biggest bait and switch in recent history. Until now. Not long ago, cloud was billed as the promised land – a mystical paradise of flexibility, scalability, performance and, best of all, lower costs than we ever thought possible.

Few things are more frustrating than slow, flaky test suites. You're ready to deploy, wait 20 minutes for CI to run, only to find that a test failure in code you've never touched is blocking you. You dig into the source and find the problem: an external API call. It works (slowly) most of the time. But sometimes the network glitches and it fails. What do you do? In this article, José Manuel shows us several techniques for removing external API dependencies from our tests.

Appian, in cooperation with Defense Information Systems Agency (DISA) engineers and the United States Marine Corps, now supports mobile access to Appian applications within the Department of Defense Information Network (DODIN). This enables access to the Appian platform, as well as Appian applications and solutions deployed in a DODIN Cloud-approved enclave (AWS, GovCloud, Azure, etc.) via any DOD-approved iOS or Android mobile device.

Today’s public sector organizations and government agencies demand a new standard for communicating and sharing information. That includes data-rich content that moves through environments, networks and locales. From being stored, analyzed and shared, to quickly and effectively moving between environments, to spinning up in clusters and informing endless applications—data is more critical than ever.