DevOps has become the dominant software development and deployment methodology over the past decade. In Atlassian’s DevOps Trends Survey, over half of the respondents said that their organizations had a dedicated DevOps team and 99% of respondents indicated that DevOps had a positive impact on their organization. In addition to DevOps teams, many have implemented Platform Engineering as a discipline, or designing technology platforms as a foundation for developers to build and deploy applications.

Downtime can be a nightmare for any online business. As the digital landscape continues to expand, the importance of maintaining a reliable and stable online presence has never been greater. While most businesses recognize the direct costs associated with downtime, such as lost revenue and productivity, there are hidden costs that can have a lasting impact on your business.

Monitoring an enterprise network is challenging for two reasons: the size of the network and the distributed architecture it follows. In the distributed model, branches spread across the globe, requiring a centralized monitoring solution. As the business grows, more devices will be added to the network, meaning your enterprise monitoring tool must be able to scale to match the performance requirements.

Logs often contain sensitive data, including personally identifiable information (PII) such as names, email addresses, and phone numbers. To maintain security and comply with data protection regulations, it’s crucial to mask this data before storing it in your log analytics tool. BindPlane OP streamlines this process with the Mask Sensitive Data processor, ensuring your logs are safe and compliant.

Deciding what metrics to measure leads to the next big issue: How to Measure. Often the problem is not so much in the measuring but in the comparison. Measuring the revenue is only useful if you can compare it to a baseline of revenue to know whether the result is good or not. Summarized, there are four basic techniques, each with advantages and disadvantages: Test and Control: Typically execute new pricing in some locations while using the legacy process in others.

The first person to coin the term “Artificial Intelligence” predicted that someday people would buy software as a utility. The year was 1961 and that person was Professor John McCarthy, a computer scientist at Stanford University. After Salesforce began selling software programs this way in the late-1990s, the good professor witnessed his prophecy come true for over 12 years before his passing in 2011. Yet this is only one aspect of computing in the cloud as we know it today.