Totally agree. Observability is just another dataset and should be modeled, managed and governed as other datasets. Data quality controls should be equal or of higher standard than regular data sets.
Monitoring, dashboarding and alerting should leverage other BI-class tooling.
I thought this was already well known. A study in 2021 [1] found this relationship. However, it is good to keep people informed because it seems we are letting a potentially severely disrupting disease shred our society to bits.
From 2021: “Biological markers of brain injury, neuroinflammation and Alzheimer’s correlate strongly with the presence of neurological symptoms in COVID-19 patients.”
For cloud providers, security is their raison d’etre. On the cloud you can have confidentiality, integrity and availability that was unheard of two decades ago.
No, it's not. Cloud provider's raison d'etre is selling access to compute resources. That confidentiality and integrity are resources they can also sell does mean that they might spend more on those things than would otherwise be expected but if their single and sole purpose was security, they would't be selling networked access to computer systems at all because that is objectively less secure than physical terminal access. But no cloud company that requires their customers to staff a physical presence at a terminal in the data center is going to be as successful as one that allows you to remote into your cloud from anywhere, even though tht is objectively less secure.
Security management services balance confidentiality, integrity and availability. Spending more on security means you can have great availability despite the measures on integrity and confidentiality.
Look at any cloud provider. They get it right because they employ the best security management systems.
Look at any cloud provider except Microsoft. I remember three breaches where hackers got to the control plane relatively easily in the last years alone.
If you dive into: [wine, jazz, modern art, craft beer, tennis, …] (pick one), you’d also appreciate it more.
Thing is, if I decide not to do that, the impact on my life is relatively minor. What gives graffiti artists the right to impose their personal predilection unto others?
In other words, given your reasoning, what’s stopping me from playing John Coltrane at 110dBA the whole day and night?
It was never about no-schema it was about schema-on-read.
And it came about because companies were wasting millions doing pointless up front schema design for data that were never queried. As well as the ongoing challenge of trying to keep schemas up to date for systems they don't control e.g. SaaS.
Monitoring, dashboarding and alerting should leverage other BI-class tooling.