Metrics are closely associated with cloud infrastructure monitoring or application performance monitoring – we monitor metrics like infrastructure CPU and request latency to understand how our services are responding to changes in the system, which is a good way to surface new production issues. As many teams transition to observability, collecting metric data isn’t enough.
If you’re sick with a cold then measuring your body temperature is a wise move or maybe if things are really bad a visit to a doctor might result in testing vs. what are considered “normal” levels in order to diagnose the issue; seasonal flu or infection? To improve our health after picking up a bad bug, we do things that affect our situation back to normal levels once again where we can then declare ourselves healthy.
The intersection of economic uncertainty and digital transformation presents a unique challenge for businesses. With the fear of a recession looming overhead, there’s no doubt that choppy waters await, but what does this mean for IT when tech spending can significantly impact the bottom line? While IT spending is a priority for many, businesses are still seeking ways to reduce non-essential spending and upgrade outdated infrastructure.
While some smaller companies may only need to use standard access controls to shore up systems, large organizations — particularly those with strict security, confidentiality, and compliance requirements — often require advanced functionality that gives them more authority over which users can access what systems and when.
Only 52% of workers felt satisfied with their latest employee onboarding experience, according to a Paychex survey. That means just under half of new hires are dissatisfied and feel unprepared to start their new jobs. Nearly 40% of survey respondents found onboarding clear, 32% said it was confusing, and 22% said it was disorganized. Four out of five (80%) new hires who feel undertrained due to poor onboarding plan to quit. Poor onboarding experiences aren’t new for HR teams.
Kubernetes has been around for nearly 10 years now. In the past five years, we’ve seen a drastic increase in adoption by engineering teams of all sizes. The promise of standardization of deployments and scaling across different types of applications, from static websites to full-blown microservice solutions, has fueled this sharp increase.