Infrastructure monitoring stories
A new Deloitte study says wider use of Earth observation data could add GBP £491 billion to Asia Pacific GDP by 2030.
Trust is emerging as the main hurdle as enterprises weigh AI systems that can safely act on live incidents, not just flag them.
Small businesses can now automate on-premise network checks with AI agents, without exposing monitoring data to outside cloud services.
As Kubernetes deployments spread, operators are under pressure to cut incident times and pin down faults across complex cloud estates.
Enterprises using Kyndryl Bridge have seen fewer outages and lower maintenance costs as AI flags IT risks before systems fail.
The free cloud service gives Veeam users and service providers a single view of scattered backup clusters as ransomware risk grows.
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.
It aims to cut outage investigation time for engineers by combining live telemetry with incident history, changes and service context.
The tie-up could cut downtime for enterprises by letting AI detect incidents, generate playbooks and trigger fixes across hybrid estates.
The funding will help OpenObserve expand as more firms seek unified monitoring for AI-heavy systems and growing telemetry volumes.
The new hires should help SatVu turn HotSat-2 data into more US defence and intelligence work as it scales its constellation.
Enterprises could cut outage risk as new governance controls let AI spot, explain and act on IT issues across complex digital estates.
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.
Rising hardware costs and scarce GPUs are pushing providers towards integrated AI stacks that can cut complexity and TCO, Virtuozzo says.
Enterprises could cut outages and speed troubleshooting as the update unifies middleware monitoring and analyses petabyte-scale telemetry.
Many US enterprises still cannot trace AI failures across infrastructure, leaving costly GPU bottlenecks and hidden risks unresolved.
Log bills are rising fast as cloud-native systems swamp legacy tools and drag incident resolution, and Australian firms are paying over USD $1 million a year.
Payment failures now surface in seconds for Modulus Labs after it unified monitoring and security, cutting resolution time by more than 40 per cent.