Telemetry stories
Rising Australian demand is driving wider take-up of OpenAI's Codex, as the coding agent gains Chrome access for signed-in work across web apps.
The shift to autonomous IT is stalling because teams will only let AI act when its decisions are transparent, explainable and controlled.
Security teams can now watch Windows Server workloads in real time across AWS, Google Cloud and Azure, reducing blind spots in mixed estates.
Automatic remediation and capacity tuning in HPE Mist and HPE Aruba Central aim to cut outages and lighten IT teams’ workload.
Security teams could cut investigation times as the new platform triages alerts and embeds threat intelligence into existing workflows.
It aims to cut outage investigation time for engineers by combining live telemetry with incident history, changes and service context.
The funding will help OpenObserve expand as more firms seek unified monitoring for AI-heavy systems and growing telemetry volumes.
The switch is meant to cut downtime and sharpen data flows across factory, office and trackside operations under Formula 1's cost cap.
Rising AI use is widening attack surfaces, while most organisations still need nearly a month to recover from cyber incidents.
It aims to cut manual work for IT teams by unifying multivendor infrastructure management through natural language prompts and human oversight.
SREs can now keep PromQL workflows intact as Elastic Observability brings metrics, logs and traces into one environment.
Pressure is mounting on platform teams to prove AI can cut outage risk and costs without adding fresh complexity to production systems.
Businesses racing to scale AI could slash cloud bills after the tool exposed idle GPUs, bottlenecks and waste across workloads.
Businesses are turning to observability software to govern AI traffic and secure hybrid systems, as IDC sees the market rising to USD $4.39 billion by 2029.
Rising AI infrastructure bills are pushing teams to hunt for idle chips and bottlenecks, as GPUs account for 14 per cent of compute costs.
Its new fabric promises lower latency and more bandwidth for training, as Google links up to 134,000 TPU 8t chips across sites.
The split design could help firms train larger AI models faster while cutting costs and response times for production workloads.
The new tools aim to help firms spot faulty AI outputs and data risks sooner as production deployments outpace monitoring methods.
Fraud teams can now feed mobile threat histories into server-side checks as Appdome expands IDAnchor with risk APIs and persistent identifiers.
The funding will help the stealth start-up scale real-time defence as enterprises face faster, AI-driven attacks and rising security costs.
