Data storage cloud Snowflake buys ITOM platform Observe

Snowflake has agreed to acquire telemetry and observability platform Observe, a startup that raised $156 million in July 2025 (with Snowflake as an investor) and said it processed 150 petabytes of telemetry data while tripling revenue and doubling its enterprise customer base year-over-year. Snowflake did not disclose the purchase price or closing timeline; the deal is framed as a move to help customers predict and mitigate downtime but was announced the same day Snowflake suffered two customer-impacting incidents (a Snowsight performance degradation and an Azure West outage), each resolved in under two hours. The acquisition strengthens Snowflake’s observability offering amid competition from Databricks, Splunk and Datadog and addresses growing monitoring needs as AI services and agents proliferate.

Analysis

Market structure: Snowflake (SNOW) buying Observe tilts the telemetry stack toward data-platform bundling — winners are platform-integrated vendors (SNOW, MSFT to an extent) and large cloud providers; losers are standalone observability pure-plays (DDOG, SPLK, ELASTIC) who face 1–3 percentage-point share risk in enterprise telemetry over 12–24 months. This deal tightens Snowflake's pricing power for add-on services and could compress subscription ARPU mix for specialist vendors; expect pricing pressure on standalone log/metrics ingestion over the next 12 months.

Risk assessment: Immediate risk is sentiment/volatility — further Snowflake outages can cause 3–8% stock swings and accelerate customer churn; medium-term (3–12 months) tail risks include failed integration or data-privacy/regulatory pushback that could materially reduce expected synergies (10–20% of deal thesis). Hidden dependency: Snowflake’s outage exposure to hyperscalers (Azure) remains a systemic operational risk; catalysts to watch in next 30–90 days: closing announcement, SNOW post-mortem details, and customer migration wins/losses.

Trade implications: Tactical trade is a small asymmetric long in SNOW funded by trimming pure-play observability names. Use option structures to express this: buy a 6‑month SNOW call spread (ATM buy / ~+30% OTM sell) sized 2% portfolio to cap cost; hedge by buying 3‑month DDOG puts 10–15% OTM (1% portfolio) or a 1.5% short equity position in DDOG. Rotate overweight to infrastructure software (MSFT, AMZN cloud exposure) and underweight DDOG/SPLK over next 3–9 months.

Contrarian angles: Consensus underestimates Snowflake’s ability to upsell observability and raise ARPU — a successful integration could drive 3–6% incremental ARR within 12–18 months, re-rating SNOW by 5–15% absent more outages. Conversely, the market may be underpricing the operational risk: if incident frequency exceeds 4 in 90 days or a single outage >4 hours, downside could be >15% as SLAs and renewals are impacted.

Key Decisions for Investors

• Establish a 2% portfolio long position in SNOW expressed via a 6‑month call spread: buy ATM call / sell ~30% OTM call to limit cash outlay; target +25–35% return or exit after an integration milestone (customer win announced) within 6–12 months, stop-loss if SNOW falls >12% on fresh outage news.
• Reduce benchmark exposure to pure-play observability vendors (DDOG, SPLK) by 20–30% over the next 30 days; redeploy proceeds into SNOW/MSFT/AMZN cloud exposure to reflect bundling risk.
• Establish downside protection on DDOG: buy 3‑month 10–15% OTM puts sized ~1% portfolio (delta ~0.25) to profit from near-term share loss or volatility spikes tied to this announcement.
• Monitor KPIs for 90 days: if SNOW records >4 incidents or any outage >4 hours, cut SNOW exposure by 50%; if Observe acquisition closes within 90 days with clear roadmap and at least one enterprise migration case, add another 1% to SNOW long.