Operations | Monitoring | ITSM | DevOps | Cloud

The net result of an AI-powered optimization process is not only a better data experience, but also increased developer productivity. Once the teams are aware of what can be automated, the improvements can not only speed things up but reduce costs.

Editor’s Note: This blog is the first of a two-part series that recaps our first-ever “Ask Me Anything (AMA)” session. Part 2, to include questions 5-9, is set to publish next Tuesday. Seems like there’s an overload of burning, tough questions surrounding IT automation and orchestration, doesn’t it?

Is SNMP on life support, or is it as relevant today as ever? The answer is more complicated than a simple yes or no. SNMP is reliable, customizable, and very widely supported. However, SNMP has some serious limitations, especially for modern network monitoring — limitations that streaming telemetry solves. In this post, learn about the advantages and drawbacks of SNMP and streaming telemetry and why they should both be a part of a network visibility strategy.

Like physical architecture, the architecture running your business data — any and compute-intensive AI projects — is important. This data architecture governs a very important part of your business: how well users can translate raw information into real knowledge and actionable insights. Today, your data architecture is getting perhaps more attention than ever before. And that’s all thanks to usable AIs that now exist.

This is not another abstract post about what the ramifications of the cookieless future might be; Sentry actually removed cookies from our website a few months ago. Here’s how it impacted us positively and negatively, in both expected and unexpected ways. I hope this can serve as a guide or inspire others who are considering making this change.

While companies tout the importance of user privacy, few put their money where their mouth is – or in our case, actually live and breathe the concept the way we do as a company. From how we think about our Product to the way we implement our Marketing, Sentry’s take on privacy is rooted in three key fundamentals: Don’t make me choose, think like your customer, and build for tomorrow today.

The term High Performance Computing, HPC, evokes a lot of powerful emotions whenever mentioned. Even people who do not necessarily have vocational knowledge of hardware and software will have an inkling of understanding of what it’s all about; HPC solves problems at speed and scale that cannot be achieved with standard, traditional compute resources. But the speed and the scale introduce a range of problems of their own.

In the ever-evolving landscape of cloud computing, the concept of a sovereign cloud has recently emerged in response to data management challenges. As governments increasingly recognise the importance of safeguarding their data, ensuring compliance with local regulations, and asserting digital autonomy, sovereign cloud solutions have gained prominence. This blog will explore this concept in detail.

Monitoring your systems is like having a superhero keeping an eye on your digital realm. And when it comes to superheroes in the world of monitoring, Icinga takes center stage. But did you know that Icinga becomes even mightier with the help of components? In this post, we’re going to unveil the top three Icinga components that are not just cool but downright essential for your monitoring game.

I first learned about Home Assistant when my previous job’s manager shared that he charms his wife by using home automation to have Alexa announce the weather as she starts getting ready for the day. After that, he showed us the cool Grafana dashboards where he visualizes his entire home automation setup on a screen in his basement. As fate would have it, I got a chance to work for Grafana Labs soon after that, and I started building my own home automation setup using Grafana Cloud.