Operations | Monitoring | ITSM | DevOps | Cloud

Sizing infrastructure has always required a balance between performance, capacity, and risk. What has changed is the level of precision required to make those decisions. Hardware timelines are less predictable. Costs are under closer review. Decisions that were once routine now require clear justification. In many cases, the question is no longer just how much capacity is needed, but whether that capacity can be delivered when it is needed and whether the investment will hold up under scrutiny.

If you're sending security data to Microsoft Sentinel, you now have a faster path. A new ASIM mode lands your logs directly in Sentinel's native ASIM tables: no custom tables to predefine, no schema to design before data flows. We added ASIM mode to the Microsoft Sentinel destination, backed by a new ASIM standardization processor that converts raw logs to ASIM in the pipeline and routes each record to the table it belongs in. Here's how it works, and why we built it this way.

Organizations invest heavily in cybersecurity tools, yet many still struggle to confidently understand what is actually protected across their environment. This blog explores how disconnected systems, unknown assets, and inconsistent data create blind spots, and how Teneo’s Cyber Asset Attack Surface Management (CAASM), powered by ThreatAware, helps organizations gain a trusted view of security coverage.

Security teams today are managing growing volumes of cybersecurity data across increasingly complex environments. This blog explores the hidden operational cost of disconnected tools, manual data reconciliation, and fragmented reporting, and how Teneo’s Cyber Asset Attack Surface Management (CAASM), powered by ThreatAware, helps organizations create a more unified and trusted view across their security estate. Most organizations are not short of security tools.

Predictive maintenance is one of the most compelling use cases for time series data. Instead of waiting for equipment to fail or servicing it on a fixed calendar regardless of condition, you watch the live sensor data and act when it indicates that a failure is coming. That “watch the data and act” loop is exactly what the InfluxDB 3 Processing Engine was built for.

No matter how fast we build, we'll never integrate with every tool. There are too many, new ones appear constantly, and some are too niche to ever reach the top of our roadmap. So if the tool you care about isn't supported yet, your options have been to wait for us to get to it, or build it yourself with our Web API plugin — a powerful, flexible option, though one that asks you to map out the endpoints, authentication and paging yourself.