Understand New Sentinel Pricing Model with Sentinel Data Lake Tier
Introduction on Sentinel and its New Pricing Model Microsoft Sentinel is a cloud-native Security Information and Event Management (SIEM) and Security Orchestration, Automation, and Response (SOAR) platform that collects, analyzes, and correlates security data from across your environment to detect threats and automate response. Traditionally, Sentinel stored all ingested data in the Analytics tier (Log Analytics workspace), which is powerful but expensive for high-volume logs. To reduce cost and enable customers to retain all security data without compromise, Microsoft introduced a new dual-tier pricing model consisting of the Analytics tier and the Data Lake tier. The Analytics tier continues to support fast, real-time querying and analytics for core security scenarios, while the new Data Lake tier provides very low-cost storage for long-term retention and high-volume datasets. Customers can now choose where each data type lands—analytics for high-value detections and investigations, and data lake for large or archival types—allowing organizations to significantly lower cost while still retaining all their security data for analytics, compliance, and hunting. Please flow diagram depicts new sentinel pricing model: Now let's understand this new pricing model with below scenarios: Scenario 1A (PAY GO) Scenario 1B (Usage Commitment) Scenario 2 (Data Lake Tier Only) Scenario 1A (PAY GO) Requirement Suppose you need to ingest 10 GB of data per day, and you must retain that data for 2 years. However, you will only frequently use, query, and analyze the data for the first 6 months. Solution To optimize cost, you can ingest the data into the Analytics tier and retain it there for the first 6 months, where active querying and investigation happen. After that period, the remaining 18 months of retention can be shifted to the Data Lake tier, which provides low-cost storage for compliance and auditing needs. But you will be charged separately for data lake tier querying and analytics which depicted as Compute (D) in pricing flow diagram. Pricing Flow / Notes The first 10 GB/day ingested into the Analytics tier is free for 31 days under the Analytics logs plan. All data ingested into the Analytics tier is automatically mirrored to the Data Lake tier at no additional ingestion or retention cost. For the first 6 months, you pay only for Analytics tier ingestion and retention, excluding any free capacity. For the next 18 months, you pay only for Data Lake tier retention, which is significantly cheaper. Azure Pricing Calculator Equivalent Assuming no data is queried or analyzed during the 18-month Data Lake tier retention period: Although the Analytics tier retention is set to 6 months, the first 3 months of retention fall under the free retention limit, so retention charges apply only for the remaining 3 months of the analytics retention window. Azure pricing calculator will adjust accordingly. Scenario 1B (Usage Commitment) Now, suppose you are ingesting 100 GB per day. If you follow the same pay-as-you-go pricing model described above, your estimated cost would be approximately $15,204 per month. However, you can reduce this cost by choosing a Commitment Tier, where Analytics tier ingestion is billed at a discounted rate. Note that the discount applies only to Analytics tier ingestion—it does not apply to Analytics tier retention costs or to any Data Lake tier–related charges. Please refer to the pricing flow and the equivalent pricing calculator results shown below. Monthly cost savings: $15,204 – $11,184 = $4,020 per month Now the question is: What happens if your usage reaches 150 GB per day? Will the additional 50 GB be billed at the Pay-As-You-Go rate? No. The entire 150 GB/day will still be billed at the discounted rate associated with the 100 GB/day commitment tier bucket. Azure Pricing Calculator Equivalent (100 GB/ Day) Azure Pricing Calculator Equivalent (150 GB/ Day) Scenario 2 (Data Lake Tier Only) Requirement Suppose you need to store certain audit or compliance logs amounting to 10 GB per day. These logs are not used for querying, analytics, or investigations on a regular basis, but must be retained for 2 years as per your organization’s compliance or forensic policies. Solution Since these logs are not actively analyzed, you should avoid ingesting them into the Analytics tier, which is more expensive and optimized for active querying. Instead, send them directly to the Data Lake tier, where they can be retained cost-effectively for future audit, compliance, or forensic needs. Pricing Flow Because the data is ingested directly into the Data Lake tier, you pay both ingestion and retention costs there for the entire 2-year period. If, at any point in the future, you need to perform advanced analytics, querying, or search, you will incur additional compute charges, based on actual usage. Even with occasional compute charges, the cost remains significantly lower than storing the same data in the Analytics tier. Realized Savings Scenario Cost per Month Scenario 1: 10 GB/day in Analytics tier $1,520.40 Scenario 2: 10 GB/day directly into Data Lake tier $202.20 (without compute) $257.20 (with sample compute price) Savings with no compute activity: $1,520.40 – $202.20 = $1,318.20 per month Savings with some compute activity (sample value): $1,520.40 – $257.20 = $1,263.20 per month Azure calculator equivalent without compute Azure calculator equivalent with Sample Compute Conclusion The combination of the Analytics tier and the Data Lake tier in Microsoft Sentinel enables organizations to optimize cost based on how their security data is used. High-value logs that require frequent querying, real-time analytics, and investigation can be stored in the Analytics tier, which provides powerful search performance and built-in detection capabilities. At the same time, large-volume or infrequently accessed logs—such as audit, compliance, or long-term retention data—can be directed to the Data Lake tier, which offers dramatically lower storage and ingestion costs. Because all Analytics tier data is automatically mirrored to the Data Lake tier at no extra cost, customers can use the Analytics tier only for the period they actively query data, and rely on the Data Lake tier for the remaining retention. This tiered model allows different scenarios—active investigation, archival storage, compliance retention, or large-scale telemetry ingestion—to be handled at the most cost-effective layer, ultimately delivering substantial savings without sacrificing visibility, retention, or future analytical capabilities.McasShadowItReporting / Cloud Discovery in Azure Sentinel
Hi! I´m trying to Query the McasShadowItReporting Table, for Cloud App DISCOVERYs The Table is empty at the moment, the connector is warning me that the Workspace is onboarded to Unified Security Operations Platform So I cant activate it here I cant mange it via https://security.microsoft.com/, too The Documentation ( https://learn.microsoft.com/en-us/defender-cloud-apps/siem-sentinel#integrating-with-microsoft-sentinel ) Leads me to the SIEM Integration, which is configured for (for a while) I wonder if something is misconfigured here and why there is no log ingress / how I can query themCrowdStrike API Data Connector (via Codeless Connector Framework) (Preview)
API scopes created. Added to Connector however only streams observed are from Alerts and Hosts. Detections is not logging? Anyone experiencing this issue? Github has post about it apears to be escalated for feature request. CrowdStrikeDetections. not ingested Anyone have this setup and working?How to Prevent Workspace Details from Appearing in LAQueryLogs During Cross-Workspace Queries
I’ve onboarded multiple workspaces using Azure Lighthouse, and I’m running cross-workspace KQL queries using the workspace() function. However, I’ve noticed that LAQueryLogs records the query in every referenced workspace, and the RequestContext field includes details about all other workspaces involved in the query. Is there any way to run cross-workspace queries without having all workspace details logged in LAQueryLogs for each referenced workspace?
need to create monitoring queries to track the health status of data connectors
I'm working with Microsoft Sentinel and need to create monitoring queries to track the health status of data connectors. Specifically, I want to: Identify unhealthy or disconnected data connectors, Determine when a data connector last lost connection Get historical connection status information What I'm looking for: A KQL query that can be run in the Sentinel workspace to check connector status OR a PowerShell script/command that can retrieve this information Ideally, something that can be automated for regular monitoring Looking at the SentinelHealth table, but unsure about the exact schema,connector, etc Checking if there are specific tables that track connector status changes Using Azure Resource Graph or management APIs Ive Tried multiple approaches (KQL, PowerShell, Resource Graph) however I somehow cannot get the information I'm looking to obtain. Please assist with this, for example i see this microsoft docs page, https://learn.microsoft.com/en-us/azure/sentinel/monitor-data-connector-health#supported-data-connectors however I would like my query to state data such as - Last ingestion of tables? How much data has been ingested by specific tables and connectors? What connectors are currently connected? The health of my connectors? Please helpDevice Tables are not ingesting tables for an orgs workspace
Device Tables are not ingesting tables for an orgs workspace. I can confirm that all devices are enrolled and onboarded to MDE (Microsoft defender for endpoint) I had placed an EICAR file on one of the machine which bought an alert through to sentinel,however this did not invoke any of the device related tables . Workspace i am targeting Workspace from another org with tables enabled and ingesting data Microsoft Defender XDR connector shows as connected however the tables do not seem to be ingesting data; I run the following; DeviceEvents | where TimeGenerated > ago(15m) | top 20 by TimeGenerated DeviceProcessEvents | where TimeGenerated > ago(15m) | top 20 by TimeGenerated I receive no results; No results found from the specified time range Try selecting another time range Please assist As I cannot think where this is failingData Connectors Storage Account and Function App
Several data connectors downloaded via Content Hub has ARM deployment templates which is default OOB experience. If we need to customize we could however I wanted to ask community how do you go about addressing some of the infrastructure issues where these connectors deploy storage accounts with insecure configurations like infrastructure key requirement, vnet intergration, cmk, front door etc... Storage and Function Apps. It appears default configuration basically provisions all required services to get streams going but posture configuration seems to be dismissing security standards around hardening these services.
Log Ingestion Delay in all Data connectors
Hi, I have integrated multiple log sources in sentinel and all the log sources are ingesting logs between 7:00 pm to 2:00 am I want the log ingestion in real time. I have integrated Azure WAF, syslog, Fortinet, Windows servers. For evidence I am attaching a screenshots. I am totally clueless if anyone can help I will be very thankful!
Microsoft Sentinel Query History not updating
Hello, Apologies if this isn't the correct place for this but I know I will likely retire before I get any traction with Microsoft support. Has anyone experienced issues with their Sentinel Query History not updating with the latest queries? I run a lot of queries each day and any time I open a new browser window and go to the logs tab, the latest query it shows in my history is 7/29/2025. If I run any new queries in that browser tab, they show in my query history but the moment I open a new browser tab and access sentinel logs, they are gone and it shows the latest query as 7/29/2025. My colleague has the exact same issue except their latest query date is 8/7/2025... Yes I do have the "Save query history" setting set to On. I have toggled it of and back on just to see if it would do anything but no luck. Does anyone know what could be causing this?
