Giving maintenance on time is incredibly significant. If maintenance is not done on time, it can increase your maintenance expenditure by 15 percent to 40 percent. However, if you provide maintenance proactively you can save maintenance expenses up to 40 percent. Therefore, investing in an automated predictive maintenance tool is essential for organizations, especially when they have hundreds of assets and pieces of equipment.
In the first podcast episode of 2022, Avi welcomes Ron Winward to Network AF! Ron is the vice president of network services at INAP, global provider of secure, performance-oriented, hybrid infrastructure. Like Avi, Ron also grew up in Pennsylvania and is a member of the East Coast Access of Infrastructure.
TL;DR: Use auto-instrumentation from OpenTelemetry. Traces will happen. Then your code can use global library functions to customize those traces with your specific important data.
In today’s highly competitive and volatile business environment, service outages can result in the loss of customers. Because of those high stakes, it’s imperative that companies take action to avoid outages. But how can you prevent them before they happen? Enter artificial intelligence (AI). AI and machine learning can run in the background to monitor systems and detect anomalies before humans can spot them. ServiceNow Predictive AIOps was designed with this purpose in mind.
Production delays or stoppages are the bane of any manufacturer. When you’re a global automaker like Volvo, even the smallest delays can have significant ripple effects. But not even global leaders are immune to IT issues. This was the situation Volvo faced several years ago. It had a legacy DevOps monitoring solution in place for the previous 15–20 years, but that system no longer met the company’s needs. On the surface, it seems like a robust system.
Talk about performance — and about how to make website content load faster — has increasingly been centered around optimizing web experiences leading to higher end-user engagement. More specifically, around metrics leading to website speed, greater conversions and ROI. Seeing what slows down your website and taking action will lead to better results overall.
These are heady times to be in the big data business, with big growth predicted for the foreseeable future across several measures, including data generation and storage, market spending, and data analytics hiring. First, the growth of data shows no signs of slowing down. In fact, data creation leaped forward in 2020 thanks to the COVID-19 pandemic, according to IDC’s DataSphere and StorageSphere reports.
