Microservices stories
Enterprise users are turning to Azul to cut Java cloud costs and compliance risks as finance, healthcare and telecoms demand jumped sharply.
Users of Loki should see far quicker searches for rare log values, after Logline’s indexing tech cut one UUID scan from 3.5 TB to 8 GB.
Businesses deploying multi-agent AI can now monitor costs, traffic and audit trails in one place as Kong broadens its governance tools.
AI agents are set to erode ad-funded web traffic, forcing businesses to pivot from screen-based funnels to metered API revenue.
The release aims to ease log searching and dashboard management as engineering teams wrestle with rising telemetry volumes and system complexity.
Enterprises could gain tighter control over AI deployments as the new stack combines governance, security and on-premise data sovereignty.
Enterprise buyers are turning to Azul to cut Java costs and risks, with finance, healthcare and telecoms driving a 43% bookings rise.
Almost half of AI-written fixes still need manual debugging in live systems, with developers spending about two days a week on troubleshooting.
Developers may cut the cost of running AI agents at scale as the update adds short-lived execution, storage and Linux sandboxes.
AI tools are making more firms reassess SaaS, but Thoughtworks says legacy systems and enterprise risk will keep custom builds selective.
Most firms are not ready for AI-driven API attacks, with Salt saying 92% have yet to reach advanced security maturity.
Enterprises scaling AI are finding that reliable, real-time data pipelines and governance now matter more than model choice for ROI and control.
Businesses face growing exposure to API and AI-driven attacks as Check Point’s web application firewall earns top marks for accuracy.
The cash will fund a new release, cloud rollout and expansion in North America and Europe as enterprise demand for orchestration grows.
Rising AI and hybrid cloud traffic is fuelling demand for tools that spot security blind spots, with the market growing 18 per cent in 2025.
The ranking reflects rising demand for tighter control over AI links to legacy systems, with APIs now central to security and compliance.
Rising data volumes and AI are forcing Australian firms to cut storage waste, tighten governance and test backups before breaches hit.
Many firms still lack recoverable copies of critical data as ransomware increasingly targets cloud and SaaS systems, experts warn.
Outages and opaque AI decisions are pushing APAC firms to use observability to keep automated systems reliable, accountable and compliant.
Many enterprises still cannot prove they can restore data quickly enough as cloud, container and AI systems outpace traditional backup plans.
