Operations | Monitoring | ITSM | DevOps | Cloud

There’s an increasingly high cost to poor data quality today. Poor customer data costs companies six percent of their total sales, as per a UK Royal Mail study. And, as per IBM, bad data costs U.S. businesses $3.1 trillion per year. As companies transform into data-driven businesses, we witness a sharp interest in data observability.

In the previous blog in our root cause analysis with logs series, we explored how to analyze logs in Elastic Observability with Elastic’s anomaly detection and log categorization capabilities. Elastic’s platform enables you to get started on machine learning (ML) quickly. You don’t need to have a data science team or design a system architecture. Additionally, there’s no need to move data to a third-party framework for model training.

Datacom and ScienceLogic have partnered to accelerate digital transformation efforts across the public sector.

If you’re in IT operations or manage NOC, SRE, and DevOps teams, chances are your IT environment is growing complex for you and your teams to manage. Any enterprise, large or small, around the globe, is continuously changing its IT stack due to evolving business requirements and significant industry trends. But digital transformation, hybrid infrastructure, DevOps adoption, and continuous integration and continuous delivery (CI/CD) pipelines are all causing major headaches.

The Cloud Native Computing Foundation (CNCF) is a non-profit organization dedicated to advancing the adoption of cloud-native technologies and practices. Established in 2015 as a part of the Linux Foundation, the CNCF has become a prominent open-source organization that aims to develop a standardized and vendor-neutral cloud-native stack. The CNCF seeks to enable the use of cloud-native computing for building scalable and resilient applications in dynamic environments.

Thanks so much Meenakshi Srinivasan! We are honored to be chosen over the competition and are excited and looking forward to helping our joint enterprise and cloud-native customers. Thanks to the IBM Consulting team for the joint Proof of Technology and joint GTM team.

More data for data’s sake doesn’t help anyone. What organizations need is more information–actionable insight. With data coming from incoming streams of events and alerts, teams don’t have enough time to look at each one. And they struggle to parse and consolidate this data in order to figure out what they need to do next to resolve an incident.

Hybrid computing is the reality of most federal agencies today.

PagerDuty’s Global Event Orchestration is now generally available. Global Event Orchestration’s powerful decision engine enriches events, controls their routing, and triggers self-healing actions based on event data. Teams can use this functionality across any or all services within PagerDuty. This feature is a continued investment in Event Orchestration, demonstrating PagerDuty’s commitment to providing customers with best-in-class automation capabilities.