The recent announcements by the Docker corporation regarding pricing has prompted some organizations to consider moving to alternatives such as Podman which is - at its core - still Docker. Docker solved many problems in the industry related to distribution of software via encapsulation, but also created software supply chain problems.

Learn about the some of the quality of life improvements for mmctl in Mattermost 6.0.

Learn more about changes to mmctl for Mattermost 6.0 in this overview from the Documentation team.

Meet the hottest data trend. Time-stamped data is an ever-present aspect of our lives. Medical sensors, autonomous vehicles, financial fluctuations, your refrigerator... These days anything can be connected, and the data flow can be astronomical. No matter what you throw at them... time series databases are built to handle the heat of modern data. In fact, they’re so hot... they’re cool! Want to know more?

Imagine a universe of data. A place where every star, every planet, is a byte of information...dispersed through eons of time. Could anything handle all that data? Time series databases are built for astronomically huge amounts of information. When you’re wrestling with near infinite data, a time series database – like Aiven for M3 – will help you make sense out of chaos. Want to know more? Check out Aiven’s guide to time series data – and transform a universe of data into something awesome.

With soaring demand on digital infrastructures, increasing deployment of B2B and B2C custom applications, and ever-tightening budget constraints, it’s more important than ever to ensure service delivery in a cost-effective manner. Delays experienced by your business partners and customers mean higher costs, lost revenue, and lost market share at a time when you can least afford it. In effect, slow is the new down.

Chaos Engineering can help you improve your incident response workflows. Don’t wait until an event happens to flex your response muscles, create real-world scenarios with Gremlin and practice your response with PagerDuty.

Customer Experience is at the heart of ScienceLogic product design, especially making the power of the SL1 platform easy to use. The latest release brings a slew of user interface (UI) and workflow improvements, as well as significant enhancements to the SL1 Global Manager. In this video you’ll learn how Global Manager allows teams to consolidate operations across multiple environments a single dynamic view. You’ll also discover how supporting distributed operations, regional data homing to support regulatory requirements like GDPR, multitenancy, and specialist team support is easier than ever with ScienceLogic SL1.

When problems occur, IT Operations must often address a recurring challenge first: wasted time. Before they can resolve the actual issue, they must manually collect critical diagnostic data from a variety of tools, open tickets, and finally route fully populated incidents details to the correct team for resolution. These delays extend service outages, increase operational costs, and worst, frustrate customers. In this video you’ll learn how ScienceLogic SL1 shrinks MTTR by automatically opening tickets, populating critical troubleshooting details, and route them to the right person at the right time.