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10 Reasons Why Test Automation Fails

We know that test automation is expected to make processes faster and easier in software organizations and also to enhance the quality of the software significantly. However, in reality, test automation fails around 64% of the time to deliver according to the expectations as per Cigniti. Here are some of the main reasons why test automation fails for your web automation:

TomTom migrates to Xray from HP ALM for better efficiency

TomTom is the leading independent location technology specialist. Their non-stop innovation keeps the world moving forward – freely, efficiently, safely. Their maps for automated and autonomous driving, navigation software and real-time traffic and travel information provide a better way forward. That’s why 100’s of millions of people, leading car manufacturers, cities, governments, technology companies and developers rely on TomTom’s products and services every day.

What is the Difference between API Observability vs API Monitoring

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.

Introducing Versions API to Automate Error Response for New Code Versions

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?

Real-Time Cost Alerts and Forecasts for AWS

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.