Frequent logouts are a frustrating experience for users, especially on servers with short session lengths configured. In v5.24 and later, you can enable the configuration setting for extending session length with activity to automatically extend sessions and keep users logged in as long as they are active in their Mattermost apps.
New feature release offers tighter integration with Office 365 and Active Directory and an improved end-user search and session experience. Mattermost Release v5.24 is generally available today. The new feature release offers tighter integration with enterprise tools such as Office 365 and Active Directory and an improved end-user experience for search and session management.
Over the past several months, the world has changed as we know it. The COVID-19 pandemic has transformed the way many companies do business, with more virtual events, video calls, and curbside pickups than ever before. Although challenging at times—we miss attending live events and other social activities—this pandemic has forced many companies to think outside of the box. The traditional ways of doing business were no longer feasible or even legal in some cases.
In this Tip of the Day installment, we look at Catchpoint’s latest telemetry point: user sentiment. Last month, we announced this new kid on the block to the Catchpoint platform. During the mid-summer timeframe, we’ll be offering our commercial customers the ability to collect and analyze user sentiment alongside Synthetic, Network, Endpoint and RUM data.
Today, the AWS Lambda platform has added a new arrow to its quiver – the ability to integrate with Amazon Elastic File System (EFS) natively. Until now, a Lambda function was limited to 512MB of /tmp directory storage. While this is sufficient for most use cases, it’s often prohibitive for use cases such as Machine Learning, as Tensorflow models are often GBs in size and cannot fit into the limited /tmp storage.
Hi Yangsters, I hope everyone is staying safe during these unpredictable times. As a fellow professional in technology, I’m guessing your workload has either remained the same or you’re now extra busy since more people are moving to doing everything online. I’ve been so busy that I haven’t been able to provide a proper update on the ongoings of Bikini Bottom—until now. But don’t worry! We’ll get through this together!
This 2020 is perfect to check our beloved Pandora FMS server and precisely a very important component is the database (BD). As our loyal readers already know (and if you visit us for the first time you can read the introduction to architecture on our Wiki), MariaDB is one of the databases chosen by Pandora FMS to keep all your information about your device monitoring: Let’s see how to optimize MariaDB!
Pretty much every organization of any size is paying close attention to the adoption of security practices in order to manage and protect their most sensitive data, including personal identifiable information (PII), personal health information (PHI), or other customer and financial data. For any team using SaaS tools, data protection is a table-stakes requirement. For compliance regulated industries — banking, financial services, healthcare.
When viewing and analysing data with Elasticsearch, it is not uncommon to see visualizations and monitoring and alerting solutions that make use of timestamps that have been generated on remote/monitored systems. However, using remote-generated timestamps may be risky.
What if you could get your hands on a force multiplier that got rid of the repetitive, routine work that was tying down your team, got more productivity out of your assembled work force, and gave everyone a more challenging, meaningful to-do list that made better use of their knowledge, experience, and passion?
