Operations | Monitoring | ITSM | DevOps | Cloud

Use This OTel Processor to Prevent Your Dashboards From Breaking

A semantic-convention rename (http.method → http.request.method) can silently break your RED metrics — no errors, just gaps in dashboards and alerts. The OpenTelemetry Collector's schema processor fixes it: put it first in your pipeline and it normalizes attribute names no matter what each service emits. Migration mode writes BOTH the old and new names, so you get zero-downtime upgrades while queries keep working.

How Zero Trust is Reshaping Federal IT Strategy

Zero trust sparked a paradigm shift for federal agencies, changing the way they approach IT and data management as they "assume breach" from threat actors. Brian Chamberlain, Public Sector Business Development Lead at SolarWinds, explains how starting with observability helps federal agencies lay critical groundwork for meeting zero trust directives.

Anthropic Fable 5 & Mythos 5 Suspended AI Risk Revealed!

Your entire AI stack ran on a model that disappeared in three days. The US government issued a directive suspending all access — a few hours' notice, no deprecation window, no roadmap. Launched Tuesday. Gone by Friday. And every enterprise that had built workflows on top of it just found out what the real risk was: not the model itself, but the absence of a governance layer underneath it.

New Pipeline Triggers | Bitbucket Blitz | Atlassian

Bitbucket Pipelines already supports triggering on repository pushes and pull request pushes. But if you wanted to react to other events like a deployment finishing, a build failing, or a PR getting merged, you had to wire that up yourself with webhooks or external glue code. New trigger types let you define those conditions directly in your YAML. You can fire custom pipelines on events like pipeline-completed, deployment-completed, pullrequest-created, pullrequest-fulfilled, and more.

dbForge - AI-Powered Database Ecosystem for Developers & DBAs

Managing different databases, tools, and environments can slow down your workflow… but dbForge brings everything together. Work with SQL Server, MySQL, MariaDB, PostgreSQL, Oracle, and cloud databases Use AI to generate, explain, fix, and optimize SQL queries Design, develop, test, manage, and automate databases Choose from dbForge Edge, dedicated Studios, standalone tools, and SSMS/Visual Studio add-ins.

dbForge: AI-Powered Multi-Database Tools for SQL Development & Management

dbForge is an AI-powered multi-database ecosystem for SQL development, database design, data management, testing, administration, reporting, and automation. In this video, you will see how dbForge helps database developers, DBAs, and technical teams reduce tool switching and work across SQL Server, MySQL, MariaDB, PostgreSQL, Oracle, cloud databases, and on-premises environments from one connected ecosystem.

Avantra + SAP Cloud ALM Demo: Two-way Cloud ALM sync in action across your entire hybrid estate.

An SAP Cloud ALM Silver Partner, Avantra 26 delivers a production-ready SAP Cloud ALM integration — two-way sync of system data and alerts, multi-tenant Cloud ALM visibility, and the ability to act on Cloud ALM systems directly within Avantra. One platform for RISE, hybrid, and everything beyond.

Avantra 26 next-gen automation: self-service SAP workflows with full guardrails

Avantra 26's next-gen automation experience puts SAP automations in the hands of your users — through guided wizards with scoped permissions, lifecycle notifications, and a full audit trail. Watch this demo of SAP client settings (SCC4) change on a RISE with SAP S/4HANA system: configured in five steps, executed automatically, documented end to end. Avantra customers reduce manual operational effort by up to 70%. Now you're really running.