Operations | Monitoring | ITSM | DevOps | Cloud

Artificial intelligence refers to the machine's ability to learn and think. Given that it sort of mimics how humans think and reason, AI's application is virtually endless. AI reduces human error, do a task that is risky for humans to do, help humans solve complex, and so much more. With the emergence of artificial intelligence, concerns about data privacy have been brought into the light. Artificial intelligence relies on our personal information to learn.

There’s nothing worse than turning on your computer to start the work day and discovering the internet is down. We all know the frustration of tediously trying to figure out what’s wrong before finally breaking down and calling our service provider and waiting on hold, only to discover that it’s a known issue and it’s being addressed. What if there was a better way?

OpenTelemetry — the merger of OpenCensus and OpenTracing — appeared in May of 2019, led by companies like Omnition (now a part of Splunk), Google, Microsoft, and others who are pushing the curve on observability. OpenTelemetry is a project within the Cloud Native Computing Foundation (CNCF) that has gathered contributors and supporters far and wide, becoming one of the most active projects found in open source today. It’s currently #2 behind only Kubernetes!

Driven by digital market shifts, organizations are adopting cloud and cloud-native technologies to deliver a better end-user experience, scale efficiently — both up and down —and increase innovation velocity. While distributed cloud architecture brings agility, it also brings operational complexity. Therefore, developing effective observability practices is all the more important for delivering a flawless end-user experience for cloud applications.

I can tell you the day I knew I would be a Systems Administrator (the term SRE hadn’t been invented yet.) My Linux professor, a brilliant engineer at NASA, said: "The best system administrators are the laziest." He went on to qualify that statement but I had stopped listening. My fate was sealed.

Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. With the rising concern over cybersecurity in remote work, this week we explore the concept of the Zero Trust model in cybersecurity.

In the second part of our "SLOs for AWS-based infrastructure" blog , Gigi Sayfan dives deeper into understanding the landscape of AWS compute by using the lens of Kubernetes to compare and contrast & covers in detail setting of SLOs for ECS, EKS, Fargate, and Lambda based services.

RE-POST: This blog is bought to you by Lydia Shu – Content Writer @Squaredup To our SCOM Community – thank you for making the first worldwide virtual SCOM event such a huge success! As co-hosts of SCOMathon 2020 that took place last week, we are happy to have provided a platform for the SCOM community to get together, learn and connect.

No, this isn’t physics news; hold that Nobel Prize. This is about downtime; the dark matter of the web. It’s invisible to most of us, but its gravity has huge effects on commerce, companies, and markets. For everybody who does business online, unplanned website or service outages drag down their revenue, drag down their profits, and drag down their brand.

In the Azure Monitor Learning Path, we talked about metrics and collecting data in a Log Analytics workspace to be operated on with KQL. As a part of it, we also talked about Monitoring Solutions and how they help you collect data into the workspace that is more focused for specific purposes. In that series, our main focus was on the Log Analytics Agent and I briefly talked about Diagnostics extension.