A selection of live questions and answers from the audience of our recent webinar on how site reliability engineers can best leverage intelligent observability to monitor SLIs and SLOs, prioritize reliability over functionality, and more.
IT Operations teams are often the bedrock of the digital business, ensuring that processes and services continue humming smoothly as developers continue to evolve and increase customer value. But increasingly complex systems can flood them with alerts that get in the way of operators from doing their best work and paving the way for new, innovative services.
After we’d fixed Aparna’s network issue, James came to see me at my desk. Masks on, socially distanced and all that, but it was nice to have some face-to-face time. James is cool – that dry British humor and not your classic IT Ops dude. He’s been here forever and mentored me when the CIO, Charlie, hired me as the first SRE here a year or so ago. I lucked out really.
What precisely are the requirements of a DevOps practitioner, as opposed to an SRE, legacy developer, or operations manager? And do those specific requirements require a different approach to monitoring?
Amidst the nonstop pace of work to constantly evolve today’s digital business, we can forget to take a moment out to think about how it is that we’re doing that work. A new series of ‘coffee break’ webinars aim to provide that opportunity by pausing to look at the ways humans can best work with observability data. In particular, Coffee Break with Helen Beal looks at improving the work done by different types of software engineers that leverage artificial intelligence.
This is the second in a series of blog posts exploring the role that intelligent observability plays in the day-to-day life of smart teams. In this post, meet our clever ITOps engineer, James, as he reduces noise and distraction using intelligent observability.
Nobody will dispute that a common goal of DevOps pros and SREs, and really any company today, is to delight their customers more by disappointing them less. This was the theme of a recent live webinar focused on announcing a new game-changing partnership between Datadog and Moogsoft. The live session combined remarks by Moogsoft CEO Phil Tee and CTO Dave Casper on bringing together the best of these two technologies with a new seamless integration.
Thursday morning, and I’ve done some yoga, a ten-minute meditation and am at my desk in my hastily thrown up garden office with a mug of green tea by 08:30am. I’m really not missing the commute to our old HQ (now permanently closed, thanks to the pandemic) in the heart of Seattle and am enjoying an extra few minutes in bed and getting mindful before logging in.
Context is king, they say, and anything you can do to improve context both makes decisions and assessments more reliable and speeds up the decision process. A new, bi-directional integration between Moogsoft Observability Cloud and Datadog does just that. Many SRE teams rely on Datadog to provide comprehensive information about their application stacks.
The shift to Observability Over the last six months, unified monitoring, log management, and event management vendors have reoriented their technology portfolios (often without any change to the underlying functionality) towards Observability. In so doing, a fair amount of confusion has been generated in the market.
