Operations | Monitoring | ITSM | DevOps | Cloud

Earlier this week, I wrote a blog stating our intention to fork Kibana and Elasticsearch. This was a huge decision on our end, one that we did not take lightly. A few days have passed since this announcement and I wanted to share how humbled and excited we are with the responses from companies and individuals who are eager to participate and contribute.

In my position, I get to work with a wide variety of organizations that each have a different level of monitoring maturity. But I’ve noticed an emerging pattern that I’ll call the ‘Critical Service Offering’ or ‘Executive Level Status’ dashboard. At their most basic level, these dashboards should communicate the current health of the application, provide some historical context and, most importantly, not be tied to infrastructure monitoring.

Kubernetes work queues are a great way to manage the prioritization and execution of long-running or expensive menial tasks. DigitalOcean managed Kubernetes services makes deploying a work queue straightforward. But what happens when your work queues don’t operate the way you expect? SolarWinds® Papertrail™ advanced log management complements the monitoring tools provided by DigitalOcean and simplifies both the debugging and root cause analysis process.

Microsoft Internet Information Services (IIS, formerly known as Internet Information Server) is an extensible web server software created by Microsoft for use with the Windows family. IIS supports various protocols, including HTTP, HTTP/2, HTTPS, FTP, FTPS, SMTP, and NNTP. According to the most recent ranking by W3Techs, Microsoft IIS is the second most popular web server technology behind Apache.

Although AWS Lambda is a blessing from the infrastructure perspective, while using it, we still have to face perhaps the least-wanted part of software development: debugging. In order to fix issues, we need to know what is causing them. In AWS Lambda that can be a curse. But we have a solution that could save you dozens of hours of time. TL;DR: Dashbird offers a shortcut to everything presented in this article.

One of our most exciting new projects at Splunk is coming to life. Over the past year, we have been hard at work putting together our vision: a place where Splunk admins, NOC/SOC teams, data analysts, and data scientists can collaborate, experiment, and operationalize their work, all in a single environment inside the Splunk ecosystem. We call it Splunk Machine Learning Environment (SMLE).