Observability Market Reorg

Observability vendors are no longer selling only dashboards for software outages; they are moving into tools that watch, test, and steer artificial intelligence agents. (blogs.cisco.com, datadoghq.com, snowflake.com) Observability is the business of collecting logs, metrics, and traces — the machine records that show what software did, how fast it ran, and where it failed. Snowflake said on January 8 that those records have become harder to manage as companies generate terabytes to petabytes of telemetry and try to run more autonomous systems. (snowflake.com, financialcontent.com) The shift became explicit on April 9, when Cisco said it planned to acquire Galileo Technologies and fold it into Splunk Observability Cloud. Cisco said Galileo adds real-time visibility, evaluation, and guardrails across the full agent development lifecycle, including prompt optimization, model selection, production monitoring, and failure detection before users see errors. (blogs.cisco.com, networkworld.com) Datadog made a parallel move on April 2 with Datadog Experiments, a product for designing and measuring A/B tests inside the same platform that already tracks application performance. The company said the tool links each product change to user behavior, application performance, and business outcomes instead of treating experimentation as a separate workflow. (finance.yahoo.com, markets.financialcontent.com) Datadog pushed further on March 23 with Bits AI Security Analyst, an artificial intelligence agent inside its Cloud Security Information and Event Management product. Datadog said the tool can cut investigations from hours to as little as 30 seconds and reduce threat investigation time by up to 98% by combining security data with observability signals. (nasdaq.com) Snowflake took the acquisition route in January, saying Observe would bring artificial intelligence-powered observability directly into the Snowflake AI Data Cloud. Snowflake said Observe’s site reliability engineer agent correlates logs, metrics, and traces, and can resolve production issues up to 10 times faster while letting customers retain 100% of telemetry data at lower cost. (snowflake.com, financialcontent.com) The common thread is that vendors are climbing from measurement into action. Cisco is buying evaluation and guardrails for agents, Datadog is tying product tests and security investigations to live telemetry, and Snowflake is pitching observability as a data-and-automation layer for operating agents at scale. (blogs.cisco.com, datadoghq.com, snowflake.com) That push reflects a new problem inside enterprise software: agents do not fail like ordinary web servers. Cisco said teams now need visibility into hallucinations, bias, cost, usage, and security risks, while Snowflake said customers have been forced into sampling and short retention windows because artificial intelligence systems generate too much telemetry to store cheaply. (blogs.cisco.com, snowflake.com) Datadog also framed the market this way on March 9, when it launched a Model Context Protocol server to give artificial intelligence agents secure, real-time access to unified observability data. The company said developers can use that feed to debug inside coding agents or integrated development environments while keeping governance controls in place. (datadoghq.com, markets.financialcontent.com) Cisco said the Galileo deal is expected to close in the fourth quarter of its fiscal 2026 year. By then, three of the sector’s biggest names will have spent the first four months of 2026 turning observability from a system-monitoring category into a control layer for artificial intelligence work. (futurumgroup.com, blogs.cisco.com, snowflake.com)