Operations | Monitoring | ITSM | DevOps | Cloud

AIOps

The latest News and Information on AIOps, alerting in complex systems and related technologies.

The Journey to Autonomic IT: Progressing to Machine-Assisted IT

So far, we’ve detailed the Autonomic IT maturity model and discussed the characteristics of the early stages of that journey, progressing from “Siloed IT” to “Coordinated IT” and then to “Machine-Assisted IT in recent blog posts.” Wherever your organization is on this journey, there is likely still work to be done.

Unified observability Maximize visibility & control of multi cloud environments

In today’s multi-cloud world, gaining real-time visibility across complex infrastructure is vital for business resilience and IT efficiency. However, traditional observability tools often fall short, leaving gaps in data collection and actionable insights. This is where unified observability comes in. Unified observability is Digitate’s unique approach, enabling organizations to monitor and control their business, applications, and infrastructure layers from a single pane of glass.

Work Flow Management

Streamline your workflow from start to finish with the Selector platform. From receiving alerts to filing incident reports, Selector simplifies the process by offering real-time insights, including probable root causes, directly in your favorite collaboration tools. No more manual event correlations—Selector automates everything for you. With just a click, access detailed insights and investigate the specific changes that triggered the issue. Leverage Selector’s GenAI-powered query interface to explore observability data and file incidents on your chosen ticketing system.

Log Miner

Learn how Selector’s Log Analytics simplifies log management by enabling direct ingestion from various sources, including network, infrastructure, cloud, and applications. With real-time analysis, it filters and clusters log data, detects anomalies, and surfaces actionable insights automatically. Explore how users can select specific time periods, search and filter logs easily with intuitive controls. Using Named Entity Recognition (NER), Selector extracts key metadata from logs for searching and correlation with other telemetry.

AI-Powered Observability: Picking Up Where AIOps Failed

GenAI promises evolutionary changes in how we use observability tools, but meeting expectations means heeding the lessons of our AIOps mistakes. The emergence of generative AI in observability tools was inevitable, but there’s already been an extreme degree of hype in the market. Monitoring, DevOps and ITOps have never been immune to trends, and with GenAI capabilities, the propagandahype machine is running out of control.

Improve your observability strategy with AIOps

Change is the only constant in the IT landscape. These changes might involve adding new observability tools, retiring existing monitoring systems, establishing new business units, or integrating IT systems from acquisitions. Managing these changes can challenge even expert ITOps teams. Organizing your monitoring setup can seem overwhelming, especially with issues like monitoring gaps, observability redundancy, complex toolsets, or significant technical debt.