When the coronavirus pandemic hit Asia-Pacific back in January, no one knew what to expect. As the first region to grapple with the questions and uncertainties that the virus presented, leaders had to process the new reality and spring into action at record speed. While navigating the shifting landscape has been a unique journey for all organizations, a few things have proven to be consistent.
In today’s digital world, every transaction is logged to give businesses endless amounts of functional data, and there is near-universal agreement that data insights will be integral to the success of businesses in the future. There is undoubtedly a need for a more data literate workforce.
Elasticsearch powers search experiences for so many tools and apps used today, from operational analytics dashboards to maps showing the closest restaurants with patios so you can get out of the house. And in all of those implementations, the connection between application and cluster is made via an Elasticsearch client. Optimizing the connection between the client and the Elasticsearch cluster is extremely important for the end user’s experience.
When you want to spot hosts, applications, containers, plant equipment, or sensors that are behaving differently from others, you can use the Median Absolute Deviation (MAD) algorithm to identify when a time series is “deviating from the pack”. In this tutorial, we’ll identify anomalous hosts using mad() — the Flux implementation of MAD — from a Third Party Flux Package called anaisdg/anomalydetection.
In a post-pandemic world, we must use data in new ways. This in turn will require new discussions about, and practices creating, trust and transparency. The necessity of data and its benefits will be weighed against legitimate concerns of misuse of data.
With the new normal adding several more challenges and variables to the security layer, how do you ensure your data is safeguarded without increasing the workload or the headcount of your security team? Using advanced analytics, in tandem with endpoint monitoring applications such as ManageEngine’s Mobile Device Manager Plus and Desktop Central, will help you better visualize and analyze your endpoint data, identify patterns, and establish correlations.
The fleet management industry has been quick to embrace technology. They want to understand the current state of vehicles and drivers to improve operations and safety. Data privacy laws are especially important as fleet managers expand their reach into new territories. WayKonnect is using InfluxDB Enterprise to improve the fleet management industry.
It’s a mystery why the film community felt an iconic movie like “Grease” needed a reprise. But alas, “Grease 2” hit the big screen and ushered in new teen angst themes around bowling and the talent show.
June was the month where many of us stretched our legs, glad to be out of quarantine — and then immediately went back inside due to fears of a second wave. “One step forward, one step back,” offers an adequate summary of life in a pandemic. It’s also a sentiment that applies to the ongoing challenge in mitigating glitches and outages.
