Operations | Monitoring | ITSM | DevOps | Cloud

resolve

Beyond Drag-and-Drop: What Sets AI Workflow Tools Apart

Oct 27, 2026 By Zack Austin In Resolve
“AI workflow tool” now describes products with very different build models. One may generate an executable workflow from a plain-language request. Another may add a chat panel or autocomplete to the same drag-and-drop experience it has offered for years. That difference matters to buyers because teams choose workflow tools to reduce automation backlogs, eliminate repetitive work, and extend orchestration across ITSM, cloud, network, identity, and infrastructure systems.
Read Post
circleci

What are decision models? Uses, examples, and tradeoffs

Oct 27, 2026 By Jacob Schmitt In CircleCI
A decision model is a specialized AI model that evaluates inputs against predefined outcomes, returning a structured choice, classification, or score. Unlike large language models (LLMs), which handle a broad range of generative and reasoning tasks, decision models are optimized for tasks like routing requests, selecting agent actions, and evaluating AI outputs.
Read Post
pagerly

Jira Round Robin Assignment: Automation and Slack Setup

Oct 27, 2026 By Falit Jain In Pagerly
Jira round robin assignment hands each new issue to the next person on a list, so incoming work spreads evenly instead of piling up on whoever happens to be watching the queue. Jira Cloud can do this natively with Jira Automation, and for most teams that takes ten minutes to set up. The hard part is everything around it: people on leave, triage that happens in Slack instead of Jira, and the gap between "evenly assigned" and "actually picked up".
Read Post
onpage

6 Best Agentic NOC Platforms in 2026: AI Investigation, Network Automation, and Incident Response

Oct 27, 2026 By Ritika Bramhe In OnPage
Quick Summary: NetBrain is our lead pick for enterprise teams evaluating agentic network operations because it combines live network context, AI-assisted investigation, and governed workflows across multi-vendor infrastructure. Other platforms worth considering include Cisco AgenticOps, HPE Juniper Mist with Marvis AI, IBM Network Intelligence, Arista AVA, and Nokia Network Services Platform. Disclosure: This guide is published by OnPage, a provider of incident alerting and on-call management software.
Read Post
onpage

10 Best AI ITSM Tools in 2026 (Compared)

Oct 27, 2026 By Michelle Chua In OnPage
Artificial intelligence (AI) is changing how IT teams manage service requests, troubleshoot technical issues, and respond to incidents. As IT environments become increasingly complex, traditional service management processes can struggle to keep up with growing ticket volumes, recurring incidents, and rising expectations for faster resolutions.
Read Post
appsignal

Optimize Database Performance in Rails and ActiveRecord (Rails 8.1)

Oct 27, 2026 By Daniel Lempesis In AppSignal
To optimize database performance in Ruby on Rails, fix N+1 queries with includes, preload, or eager_load; index the columns your WHERE and JOIN clauses filter on; load only the columns you use with select and pluck; batch large reads and writes with find_each and insert_all; and move to read replicas or sharding only once query-level fixes run out.
Read Post
Bizally Review 2026: Accounting Packages, Bookkeeping Add-Ons and 3 Melbourne Alternatives

Bizally Review 2026: Accounting Packages, Bookkeeping Add-Ons and 3 Melbourne Alternatives

Oct 27, 2026 By OpsMatters In OpsMatters
Bizally earns its fee if you want a long-running Blackburn South firm that bundles your annual returns, tax planning and a Xero subscription into one published monthly fee, with SMSF accounting under the same roof. It suits established owners who are happy in Xero; it suits you less if you need BAS and payroll included in the base price. Bizally's add-ons, not its headline package prices, set the real monthly cost for most employers, and the three Melbourne alternatives below structure their fees in quite different ways.
Read Post

Copyright © 2026 OpsMatters™. All rights reserved.