Welcome back once again! This is the third and final part of this series on using the Elastic Stack with ServiceNow for incident management. In the first blog, we introduced the project and set up ServiceNow so changes to an incident are automatically pushed back to Elasticsearch. In the second blog, we implemented the logic to glue ServiceNow and Elasticsearch together through alerts and transforms as well as some general Elasticsearch configuration.

Canadian Pacific (CP) is a historic Canadian Class I railroad incorporated in 1881. It was CP that connected the country and became Canada’s first transcontinental railway. Headquartered in Calgary, Alberta, it owns approximately 13,000 miles of track across Canada and the United States. Canadian Pacific initially introduced Enterprise Alert in 2016 to increase speed and effectiveness of incident callouts to information workers, and staff in various departments.

Metrics are the golden ticket to knowing what’s going on with your system… or so everyone thinks. But there can be too much of a good thing. Are your metrics really doing you any favors? Are they letting you see into what your customers truly want from you? If not, you might have a problem. You might be fetishizing your metrics. The good news is you’re definitely not alone.

Today, we are excited to announce PagerTree has added support for public calendars! Public calendars allow you to share a team’s on-call calendar with the rest of the world. Public Calendars are available on our Pro and Elite pricing plans. If you don’t already have an account, sign up for a free-trial now. By default, all calendars are private, so to make use of this feature you must enable it.

Mattermost is a platform based on collaboration — not built simply for facilitating team and asynchronous communication, but built on the philosophy that having the ability to collaborate efficiently makes the world safer and more productive for everyone. This is true in many day-to-day situations in an organization, but it is especially true in the world of DevOps. When an emergency arises, information needs to be moved from person to person and team to team as quickly as possible.

It’s not everyday we are given a chance to get a first-hand look at how one of today’s leading and most advanced enterprises operates its IT stack. That’s why we were very excited when three senior IT executives from Expedia accepted our invitation to participate in a webinar discussing the company’s IT modernization journey.

Blameless recently had the pleasure of interviewing Yury Niño Roa, Site Reliability Engineer, Solutions Architect and Chaos Engineering Advocate at ADL Digital Labs. She’s worked in roles ranging from solutions architect, to software engineering professor, to DevOps engineer, to SRE. Additionally, Yury is an avid blogger and conference speaker who regularly presents at events such as Chaos Conf, DevOpsDays Bogotá, and more.

Imagine the following scenario: A large retailer experiences a major IT incident that impacts their point-of-sale systems. Their on-call engineers are alerted to the issue and begin their work to resolve it immediately. Behind the scenes, teams are collaborating on a fix, but in the storefront, frustration and tension are growing. Customers are complaining about not being able to check out, and in-store personnel have no good answers as to why the outage happened—or when it will be resolved.

Digitalization of business has transformed the world and its industries. Software that upkeep digital initiatives are no longer categorized as a support function. Rather, they are integral to every business process. Modern organizations require infrastructure monitoring tools to detect anomalies and alerting systems to automate remediation processes.

Today, more than ever, mobilizing remote teams to triage and resolve outages separates is separating enterprises able to accelerate their digital initiatives from those who don’t. Observability has elevated our ability to quickly detect problems and ask questions in our system to triage and reduce “time to clue” — an increasingly important metric.