ScienceLogic

ScienceLogic provides federal Skylar One customers with a supported Oracle Linux 9 direction, deployment-specific migration workflows, validation gates, and clear ownership before Oracle Linux 8 is retired. Federal Operations Cannot Pause for a Platform Transition Federal agencies cannot suspend monitoring, service visibility, or operational response while the security standards beneath their platforms change.

A credible FIPS 140-3 transition does more than replace an operating system. It protects authorization timelines, service continuity, rollback options, and accountability across the operational boundary. Start With the Outcome the Transition Must Protect Understanding the September 2026 FIPS 140-2 transition and identifying cryptographic dependencies are necessary first steps.

Federal teams need more than a system setting. They need defensible evidence that the cryptography protecting federal information is validated, correctly configured, and actually used. For platforms such as ScienceLogic, that product-level evidence should come from the vendor, not be reconstructed by the customer. The Compliance Gap Sits Between the Setting and the Workload Enabling FIPS mode is important, but it does not make an entire product, platform, or application FIPS compliant by itself.

The Deadline Changes Validation Status, Not System Availability The September 2026 transition from FIPS 140-2 to FIPS 140-3 is often framed as though affected systems will suddenly stop operating. They will not. For environments that rely on Oracle Linux 8 FIPS 140-2 validated cryptographic modules, the issue is that the validations supporting compliance move from Active to Historical status. The issue is not system availability.

ScienceLogic has been named a 2026 TrustRadius Tech Cares Award winner, marking our third time receiving the recognition. The Tech Cares Awards recognize B2B technology companies demonstrating meaningful corporate social responsibility through their support of employees, communities, and the environment.

MTTD, MTTA, and MTTR help teams understand where time is lost across the incident lifecycle. (Not sure what the difference between these terms is? Read our guide to incident management metrics.) But improving those metrics requires more than asking people to work faster. IT operations teams need observability to understand what is happening, service context to assess its impact, and trusted guidance or automation to act with confidence.

Compliance is often treated as a governance responsibility. But many of the conditions that determine whether controls continue to hold are created inside day-to-day IT operations. Operations teams manage the devices, configurations, changes, dependencies, and remediation activities where compliance can either remain aligned or begin to drift. Governance defines the requirements. Operations manages much of the environment where those requirements must remain true.

Compliance Has Moved Into the Operating Environment For CIOs, compliance is no longer simply a box to check at audit time. It has become part of the operating standard for resilient, accountable, and well-managed enterprise IT. The reason is straightforward: enterprise technology environments change continuously. Infrastructure scales. Configurations change. Cloud resources move. Exceptions accumulate. Dependencies evolve across hybrid and distributed architectures.

As intelligence becomes increasingly accessible, competitive advantage shifts to the operational capabilities that transform insight into consistent, confident action. As AI makes operational insight easier to generate, competitive advantage is shifting to the platforms, workflows, and operational foundations that turn intelligence into trusted action. For most of enterprise IT’s history, operational advantage was tied to capabilities that were difficult to build.

Two Organizations, Two Different Experiences It is common to find two organizations running the same platform, staffed by people of similar skill, operating under comparable budgets, and arriving at completely different relationships with the technology they depend on. For enterprise IT teams, this often shows up in how they manage platform releases, integrations, upgrades, and ongoing maintenance.