Observability stories
SBS reported no major technical issues during its busiest digital World Cup yet, after 146 million streams and a 1.5 million peak.
The expanded APJ leadership team comes as Riverbed seeks to help customers adopt AI and simplify IT operations across a diverse regional market.
Large organisations can now centralise oversight of AI agents in production as NeuBird's new platform logs approvals, costs and actions.
The new tool is aimed at cutting incident triage from hours to minutes by analysing logs and metrics for likely causes automatically.
The revised edition reflects how AI, microservices and multi-cloud deployments have made keeping production systems reliable more complex for engineers.
Exchanges and trading firms can now run latency-sensitive workloads in Google Cloud private regions, as it targets co-location-like timing predictability.
Adoption has climbed to more than 6,500 customers as businesses shift from AI pilots to on-premise production and weigh rising costs.
Telecoms operators could soon let AI agents handle sales and billing tasks across live systems without losing human oversight or control.
As AI workloads spread across cloud and on-premises systems, network teams need more context to spot shadow AI and govern traffic.
AI is driving a surge in automated traffic, with Cloudflare saying more than half of internet requests were non-human for the first time this year.
A compliance gap is leaving 22% of financial services firms running AI agents in production without monitoring, a New Relic study warns.
Engineering teams can now search logs far faster as AI systems flood observability stacks with more telemetry and query demands.
The update gives customers broader controls, governance and data context for AI agents, while extending SAP's tools into enterprise and space use.
The cloud-native product is aimed at helping IT teams spot call and meeting problems before they trigger support tickets in distributed workforces.
The update gives enterprise IT teams earlier warning of GPU and cooling faults that could throttle AI workloads or trigger outages.
Only 31% of organisations can see their AI software costs, leaving finance teams struggling to govern spending as adoption accelerates.
UK IT teams are cutting data coverage and facing surprise bills as telemetry expenses increasingly outstrip infrastructure budgets.
The update is designed to help engineers trace faults from infrastructure issues to affected services and customers, cutting time to resolution.
Teams can now monitor AI agents and let them flag anomalies, diagnose issues and draft fixes as Grafana expands its cloud tools.
Grafana Cloud users can now trial and subscribe to vetted commercial plugins, giving developers a paid route into the platform's catalog.