Operations | Monitoring | ITSM | DevOps | Cloud

In March 2019, Facebook experienced a 14-hour outage that cost the company $90 million. In July 2018, Amazon lost up to $99 million on Prime Day after experiencing downtime. While these critical financial crises greatly impacted these industry leaders, both companies were able to recover from them eventually; however, many smaller organizations may not have the means to overcome a similar incident. As per Gartner, downtime costs on average $ 5,600 per minute; since IT operations vary from business to business, downtime could cost $140,000 per hour on the lower end or $540,000 per hour on the higher end.

It's not for nothing that Kubernetes is a popular choice for running a cloud workload. It can be a powerful tool for orchestrating your applications. However, one thing that can often be a last thought in a production workflow, or maybe forgotten altogether, is load testing. It might be tempting to think that Kubernetes can handle it all. In many cases it can, but it's always smart to know how much your application can take. After reading this article, you'll be equipped to determine which tools would best serve you for load testing your application.

When downtime strikes any distributed software deployment or platform, it's all hands on deck until the lights are green and service is restored. This process, from the recognition of a problem to a deployed solution, has most commonly been defined as MTTR - mean time to resolution. In just the last few years, DevOps and site reliability (SRE) professionals have developed sophisticated new models for how they work and audit their successes. In 2022, MTTR is one of the most widely-used software performance success metrics.

Most companies take their integration infrastructure for granted. I'm talking about middleware such as IBM MQ, Kafka, Solace, ActiveMQ, RabbitMQ. These form the basis of most enterprise-level businesses. One of our electronic manufacturing customers was building products worth $40K per minute. A failure in one of the factory floor's automated systems brought manufacturing operations to a complete halt.

Which cultural values empower businesses to thrive today? That's an open question, of course. But I suspect most employees, managers, and analysts would include items like collaboration, transparency, and creativity on the list of essential ingredients in business success. Indeed, you could argue that these values are at the core of a variety of modern organizational and technical innovations, from DevOps (which is all about collaboration) to open source software (which centers on collaboration and transparency) and the creator/maker movement (which is, of course, all about creativity).

I hate to say this, but #Omicron is at the doorstep. According to the CDC website, there have been over 60M cases in the US so far. As a result, companies like Google and Apple are delaying returning to the office while some call the return date as now 'history'. Although we cannot predict the nature of the virus, we have some best practices to help our customers and IT manage their employee experience in a hybrid distributed environment.

This blog outlines how the ScienceLogic SL1 platform kick starts your automation journey with automated workflows - your next step toward AIOps.