Operations | Monitoring | ITSM | DevOps | Cloud

As the world continues to adapt to the new normal, the shift to digital customer experience has accelerated. And with this change comes an urgency to bolster and secure networks, systems and digital capabilities. More and more customers are moving to digital-first experiences. With about two-thirds of the buyer’s journey taking place in the digital realm, it’s imperative that businesses invest in their digital capabilities.

Site Reliability Engineering (SRE) is a growing practice essential for enterprises to ensure service delivery, reliability, and access for users. Many companies only choose to invest in SRE when they have a raging operational fire on their hands. As a result, SREs often start out as firefighters, desperately trying to keep the service online for one more day.

ICYMI, this year’s Monitorama marks a return to the in-person event following a pandemic hiatus. In Part 1 of this series, I shared what it was like to navigate a tech conference in the post-pandemic world and the most engaging themes of the conference including tracing, SLIs, OpenTelemetry, and more. Now for Part 2, let’s dive into the talks. As usual the Monitorama talk selection team did a bang-up job. Every talk was interesting, but a few jumped out at me for some very specific reasons.

Every company is a software company and every company wants to get better at it. That’s why Sumo Logic built a set of integrations with Atlassian DevOps solutions. Leveraging data from Atlassian, Sumo Logic now enables you to visualize the key, actionable insights behind the DevOps Research Assessment (DORA) metrics to continuously improve your software delivery performance. Sumo Logic’s observability platform presenting Atlassian data brings the following benefits, to name a few.

The summer of 2022 is a strange time to be attending a tech conference. The “Pandemic Pause” has left us all hungry for connection and a little awkward about it. While the world is largely returning to a semblance of comfort with larger public events, COVID is still a real and present threat, something we keep in the backs of our minds all the time.

Enterprises are increasingly adopting Kubernetes for the value that it brings to their organizations, from IT cost savings to improved time to market for application development. But with this shift comes a fundamental challenge: how to gain comprehensive visibility into your Kubernetes applications, when most existing monitoring tools are hard to scale or provide little or no visibility into Kubernetes? This challenge stems from two unique characteristics of Kubernetes. One, it is ephemeral.

This blog is about how to communicate changes in your application monitoring process as your operations, environments and services evolve. Approaching your operations with a “monitoring as code” mindset - which means automating as much of the entire observability lifecycle, including automated diagnosis, alerting and incident management, and even automated remediation - is foundational to the success of your operational technology.

This essay explores AIOps and investigates if machine intelligence applies to IT operations (ITOps). I will dive into objection handling around artificial intelligence (AI) in pop culture and address the limitations around data sets and implicit bias coded into machines. Then, I will delve into what this means for ITOps and the ways AI-based parsing utilities can help operators and developers alike. How does Sumo Logic enable anomaly detection and identify threats?

As the applications we support evolve, so too must the services that keep them reliable and secure. And, evolve they have! Sumo Logic started life over a decade ago by solving the difficult problem of log management. Our cloud-native architecture eliminated the hassle of managing on-premise log management solutions while scaling on-demand to handle a significant volume of high-cardinality data. Powerful search made exploratory investigation fast and efficient for customers. This was a game changer!

Node.js is an established platform for developing server-side applications in JavaScript. One of the most fundamental concerns that arise during the development of Node.js apps is how to carry out proper logging that will be safe, secure and performant. While there are several options for configuring Node.js logging, a few specific engineering best practices still apply, no matter which option you choose.