The concept of Continuous Delivery (CD) has been around for over a decade. Early adopters of CD have reaped the benefits of reduced cycle times coupled with greater stability and reliability. Yet CD is far from a “solved problem” with many organizations struggling to implement CD at scale (or at all!) due to organizational, process and technology challenges.

Our customers are always looking for ways to work faster and more effectively inside Mattermost. As a remote-first company, we spend most of our time collaborating inside Mattermost, and we’d like to think we’ve learned a thing or two about how to use Mattermost productively over the years. Here are some of our favorite tips and tricks for getting things done on Mattermost. We hope these examples help your team achieve similar productivity gains.

Gartner says when COVID-19 hit the United States in March, 88% of businesses mandated or strongly encouraged employees to work from home. Sales, marketing, human resources, and most other business operations were all conducted from somewhere outside of the office. This drastic move required IT to accommodate employees in an entirely new way than what they had become accustomed to.

Debugging and resolving incidents in nodeless environments can be difficult, time-consuming, and most of all, frustrating. Exporting your logs from these ephemeral and disparate services to a centrally aggregated log is a great way to correlate information, quickly resolve incidents, and make your life a little easier.

In a prior blog post, we explained how to install or update Artifactory through the Azure Marketplace in the amount of time it takes for your coffee order to arrive on the counter. Now you can add to your self-managed (BYOL) Artifactory deployment Xray, the cream of software component analysis (SCA) tools, through the Azure Marketplace as well.

Previous articles in our series have introduced the Splunk App for Infrastructure (SAI) and provided getting-started guidance for Linux and Windows using native metric-collection tools such as collectd and perfmon. But did you know you can also use your existing Splunk Universal Forwarders (UF’s), together with the Splunk Add-on for Unix and Linux (TA-Nix) to send both the metrics and logs without the need of additional agents?

AIOps is one of the fastest-growing categories in the IT operations management (ITOM) software space. With increasing demands on IT, the ability to leverage AI is critical to successful operations. The adoption statistics are quite staggering. Gartner reports that by 2022, 40% of large enterprises will use AIOps tools to support or replace monitoring and service desk tasks.

Log analysis helps organizations determine the best way to optimize application functionality while giving development teams a leg up in root cause analysis. With that said, it’s not feasible to scroll through thousands of lines of log entries in a text editor. Instead, development teams need modern tools that enable them to centralize, filter, and analyze their logs in a way that allows them to glean valuable insights in a time-efficient manner.

15th October 2020: Canonical today announced autonomous high availability (HA) clustering in MicroK8s, the lightweight Kubernetes. Already popular for IoT and developer workstations, MicroK8s now gains resilience for production workloads in cloud and server deployments. High availability is enabled automatically once three or more nodes are clustered, and the data store migrates automatically between nodes to maintain quorum in the event of a failure.

Just in case you haven’t heard, last week Microsoft experienced a huge outage that prevented users from accessing its Office 365 cloud-based subscription service which serves 200 million active monthly users. This latest outage was the third in ten days, causing the company to receive a deluge of customer complaints about a 'something went wrong' message that popped up when they tried to access their accounts.