Operations | Monitoring | ITSM | DevOps | Cloud

Alerting

Enterprise Alert's Automation Engine: Creating BMC Incidents

Recently we have received a lot of requests for Enterprise Alert to not only alert on critical situations but to also take a proactive approach to initiate, record and track those situations through ITSM tools such as ServiceNow and BMC Remedy. This post will center around what happens when critical systems fail and tickets are not being created in BMC due to a break in the workflow.

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Accelerate & Automate Incident Recovery with AIOps

Automating incident recovery has inculcated rhythm to systems. But ITOps need more than automation. And, that is the acceleration of automated incident recovery. 79% reported in a survey that adding more IT staff to address IT incident management is not an effective strategy. Incident recovery needs accelerated intelligent automation. The two core outputs when accelerated are better and faster Incident Diagnosis and Resolution.

xMatters Lunar Lander Release - New Product Features - xMatters Demo

xMatters Lunar Lander release is here! Join Sr. Director of Customer Success, Kerin Munro, and Product Manager, Daniel Reich as they discuss some of the latest and greatest product features that went live with the Lunar Lander release. These updates include new possibilities in xMatters Flow Designer with a create alert step and an incident severity step, updates to Event Flood Control, and more!

Threat Stack and Squadcast Integration Streamlines Alerts with Greater Context

This is a guest post collaboration between Squadcast & Threat Stack. The move to the cloud has rapidly expanded the cyber threat surface of modern cloud apps. This blog in partnership with Threat Stack, outlines how you can stay on top of your game with help of context-rich alerting & resolve security incidents rapidly along with few best practices to follow for faster incident response.

AIOps Has a Data(Ops) Problem

Modern complex systems are easy to develop and deploy but extremely difficult to observe. Their IT Ops data gets very messy. If you have ever worked with modern Ops teams, you will know this. There are multiple issues with data, from collection to processing to storage to getting proper insights at the right time. I will try to group and simplify them as much as possible and suggest possible solutions to do it right.

Put a Stop to Data Swamps with Event-Driven Data Testing

Ensure data quality in your S3 data lake using Python, AWS Lambda, SNS, and Great Expectations. Data lakes used to have a bad reputation when it comes to data quality. In contrast to data warehouses, data doesn’t need to adhere to any predefined schema before we can load it in. Without proper testing and governance, your data lake can easily turn into a data swamp.