Operations | Monitoring | ITSM | DevOps | Cloud

I am making a digital transformation during this novel work-from-home (WFH) era due to a COVID-19 quarantine. Many of you are going through the same and distractions abound while sharing a workspace with housemates, children, and pets. Moreover, we have to contend with an increased risk to cybersecurity, given recent attacks on work-related software such as Slack and Zoom.

Here at Mattermost, our team of developers and quality assurance analysts are proud of what we build and work hard to ship a quality product on the 16th of each month. However, maintaining our high bar for quality month over month isn’t without its challenges!

Mattermost Release v5.25 is generally available today. The new Extended Support Release offers many bug fixes for increased stability (see changelog for details) as well as the following new features.

Over five million people work in the U.K. public sector, representing over 16% of all people in paid work, according to government figures. And mobile working is a reality of daily life for many of us. A report from Deloitte revealed of the 32.3 million people in work in the U.K., the majority (51%) spend some time away from a fixed location in the course of their work.

At this year’s swamUP 2020 conference, we were fortunate to have several customers who showcased their skillful use of our products for achieving ambitious goals. One such session presentation was delivered by Navin Ramineni, Director of Infrastructure Engineering at Salesforce.

It would not be wrong to say that Observability is the new buzz word for the last couple of years at least and often we find organizations burden themselves with questions like – The answer to these questions lies in understanding the concept of Observability and how it ties in with the digital experience monitoring strategy of your organization and only then can you determine where you stand in terms of Observability.

Think of orgs with lots of data and it’s impossible to not think of Netflix. In a new Netflix Technology Blog, titled "Byte Down: Making Netflix’s Data Infrastructure Cost-Effective", their Platform Data Science & Engineering team describe their data infrastructure "which is composed of dozens of data platforms, hundreds of data producers and consumers, and petabytes of data.” At this scale, cost-effectiveness is a critical matter of success and failure.