Operations | Monitoring | ITSM | DevOps | Cloud

By benchmarking five GCP machine types across both Logstash and Kafka, LivePerson's observability team found that infrastructure selection (not just pipeline configuration) is one of the highest-leverage cost optimization decisions at scale.

Focusing on GenAI and logs for IT efficiency Efficiency is everything for managing today’s digital systems. Technology is constantly transforming and expanding operations are driving an explosion in data. Consequently, data ingest and storage costs have soared. But it’s not just storage data costs that keeps teams behind.The challenge of managing all that observability data forces IT teams to choose between efficiency and the bottom line.

How do you make search faster, smarter, and more scalable? During our recent webinar, I sat down with Luke Patterson, senior product manager at WP Engine, and Delphin Barankanira, independent software vendor partner engineering lead and data & AI specialist at Google Cloud, to answer that question. We dug into the mechanics behind WP Engine’s ability to deliver near-instant updates to over 2 million users.

AI is moving fast. Enterprise adoption needs to move with purpose. Over the past year, one thing has become clear: Organizations are not looking for more AI hype. They are looking for a path to production — one that connects infrastructure, data, and intelligence in a way that delivers real business value. That is exactly what the Elastic AI Ecosystem is built to do. At Elastic, we believe AI is only as powerful as the data foundation behind it. Great models matter.

The demands on financial services companies are intensifying rapidly. They must not only deliver seamless system performance but also control costs, secure sensitive data, and maximize the value of their observability investments. To navigate these converging pressures, leaders are evolving their approach to system monitoring and telemetry. The 2026 State of Observability in Financial Services research report reveals a fundamental shift in how organizations manage their digital infrastructure.

TL;DR: Customer Zero proves a unified observability model—ingest → detect → investigate → automate response—on a single platform for faster, end-to-end operations.

TL;DR: Autonomous IT platforms combine observability data and AI to automatically detect, diagnose, and resolve issues—shifting operations from reactive monitoring to predictive, self-healing systems.

Seamlessly vectorize high-volume data and accelerate your time to production with the new gold standard for GPU-accelerated vector search.

New Australian research reveals poor website search is costing businesses revenue as AI raises the bar.

The world is transforming, and artificial intelligence, especially agentic AI, is quickly becoming embedded across private and public sectors. For government agencies, law enforcement, and mission-critical organizations, embracing this new reality is uniquely challenging. On the one hand, agentic AI promises measurable improvements: modernized IT workflows, faster analysis, improved citizen services, and operational efficiency.