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The obvious use case is incident investigation: Ask a question, get a summary, identify a suspicious deployment, find the slow endpoint, maybe save an engineer a few minutes during an incident.

BYOC Observability Platform Brings Production-Grade Agentic Experience to Azure Customers

Industry-wide survey of 500 U.S. technology professionals also reveals 42% experience overages in observability spend as it evolves from a monitoring tool into AI decision infrastructure

Eleven companies spanning AI, cybersecurity, fintech and health tech are shaping Israel’s next wave of growth-stage innovation.

New capabilities deliver proactive testing, real-time user insights and full-stack visibility without compromising data ownership

An observability company CEO discusses the shifting requirements – and growing role -- for such tools in AI development. From Shahar Azulay's point of view, observability has evolved from a post-production downtime prevention system to "the source of truth for everything from code creation to shipping and testing code, remediation and production."

groundcover expands AI Observability with agentic AI support, Google Vertex AI integration, and eBPF-powered tracing — no instrumentation required.

AI-native companies can now deploy the first observability platform designed for LLM scale directly to their Google Cloud environments

Now in its 17th year, Calcalist and CTech’s Top 50 list showcases Israel’s most promising private tech companies, selected with input from leading investors, entrepreneurs, and industry advisors, and curated by the publication’s editorial team, reflecting the sector’s shift toward AI-native platforms, deep tech, and scalable, revenue-driven innovation.

AI failures don't look like errors anymore. Shahar Azulay, CEO at groundcover, explains why traditional observability fails for AI workloads and what enterprises need.

Agent Mode Now Powered by Google Vertex AI, Bringing In-Cloud, AI-Powered Production Analysis Natively to GCP Environments

How can enterprise devops teams improve the resiliency of their mission-critical apps, integrations, and data pipelines? Look to the practices of SaaS providers.