Operations | Monitoring | ITSM | DevOps | Cloud

5 Reasons Why Monitoring Teams Rooms is Hard in the Modern Workplace

Monitoring Teams Rooms can be challenging for IT teams because it involves keeping track of so many different technologies working together – or not, as the case may be – all at once. This has become increasingly difficult for many businesses over the past few years as workforces become more distributed. But will it always be like that?

Next Play 2023 - A New Stage of Leadership at Auvik

As the old adage goes “the only constant is change.” This is certainly true in any growth-stage tech company. It’s a very exciting time here at Auvik as we continue to accelerate our growth and take market share. To that end, today we announced that we’ve expanded our leadership team as we embark on this next chapter of growth.

Forbes Names Cribl as One of America's Best Startup Employers 2023

Values led culture. Meaningful work. Remote-first environment. Massive growth. A love of Goats. These are just some of the ingredients that make Cribl a place where employees can do their best work. And we’re honored to be recognized by Forbes as one of America’s Best Startup Employers 2023 with a top 10 ranking! Not all awards are created equal, and this recognition by Forbes is particularly meaningful because it’s based on extensive data research and social listening analysis.

Datadog On Reliability Engineering

There are many different ways to implement Site Reliability Engineering (SRE). From team structures to roles and responsibilities to planning and prioritization flows, there’s no golden path for how to organize things. As Datadog has shifted from a startup to a quickly-growing public company, we’ve seen our own SRE practice evolve. With over 22,000 customers sending trillions of data points each day, keeping Datadog reliable is critical to our business.

Pepperdata Capacity Optimizer for Amazon EMR

Running your infrastructure in the cloud can lead to wasted resources and ultimately overspending. Pepperdata Capacity Optimizer for Amazon EMR operates dynamically in real time to optimize performance without the need to model your workloads ahead of time, change application code, or platform settings. It provides autonomous optimization continuously, improving resource utilization at both the instance level and with the EMR autoscaler. Watch the full video for a deep-dive on how Pepperdata solves the problem of cloud overspending and resource waste without manual intervention.