Noise-heavy tools overwhelm engineers with non-actionable alerts, increasing the risk that genuine incidents are missed.
How Observability helps: Built-in intelligence reduces thousands of tickets down to a single, actionable item — delivering faster resolution, higher NPS, a happier service desk, and reduced downtime.
Many tools monitor devices rather than services, making it difficult to understand user impact or identify root causes quickly.
How Observability helps: Designed to provide clear, actionable visibility from the end user through to the application and everything in between — regardless of OS, vendor, or node type.
IT teams often juggle multiple platforms that don’t integrate, creating workflow friction and unnecessary manual effort.
How Observability helps: Integrates natively with HALO as the ITSM within Essentials, and supports any ITSM tool in Advanced — reducing context-switching and the need to work across multiple windows.
Reports can lack clarity, customisation, or business-friendly formats, making it harder to demonstrate value to clients and stakeholders.
How Observability helps: Observability Essentials includes best-practice reporting packs for day-to-day IT operations. Built by a UK MSP with over 16 years’ experience, we’ve designed reporting around what teams actually need. Advanced adds simple custom reporting for even greater clarity.
Per-feature pricing becomes expensive at scale and difficult to forecast — and even pricing a simple switch can feel unnecessarily complex.
How Observability helps: Pricing is simple: a device is a node. So, a switch is a node regardless of how many line cards or power supplies. A server is a node regardless of operating system. Each node has a clear price, and we publish pricing for the next five years so you can forecast costs with confidence.
Data is often delayed or sampled, meaning issues aren’t detected until after users and clients are already impacted.
How Observability helps: Real-time data, real-time automation, and the ability to draw service teams to the information that is most pertinent at any one time. No delays, no sampling, and the ability to have up to 7 years of data at your fingertips.
Many tools can detect issues, but they can’t remediate automatically or orchestrate workflows effectively.
How Observability helps: Automation and orchestration is the bedrock of our Advanced Observability service. Your teams can quickly and simply add custom automations, prioritising assets at times of year, month, day, hour, minute and second — depending on the needs of the business.
Some platforms aren’t designed with larger service desks in mind, making it difficult to separate customer environments cleanly and manage them centrally.
How Observability helps: Observability Advanced has multi-tenancy built in — so you can report across companies, departments, or asset types with ease.
Older architectures require heavy maintenance, slow down updates, and don’t take advantage of cloud scalability or AI-driven capabilities.
How Observability helps: Built on a cloud-first architecture with no maintenance or upgrades required by your teams. Built-in scalability, simplicity, and (soon) the addition of AI capabilities via Microsoft Copilot.
Older tools do not allow IT functions to see at a glance how an IT or OT asset is linked to a business process. Therefore, it is difficult to see how important that technical asset is to the business.
How Observability helps: In Advanced, Observability links IT/OT assets to business services and groups, enabling dynamic alert severity (P1/P2) based on real business impact — including time-based criticality down to the hour or minute.
Legacy network monitoring is noisy, siloed, and hard to run creating alert fatigue, poor end-to-end visibility, weak ITSM integration, clunky reporting, and costly complexity—while observability reduces noise through correlation, shows service impact across the full stack, integrates better with workflows, and offers simpler, more scalable, cloud-first operations.
Legacy network monitoring is noisy, siloed, and hard to run creating alert fatigue, poor end-to-end visibility, weak ITSM integration, clunky reporting, and costly complexity—while observability reduces noise through correlation, shows service impact across the full stack, integrates better with workflows, and offers simpler, more scalable, cloud-first operations.
Traditional monitoring was built for a simpler world: assets checked in isolation, severities set once, and the same alert treated the same way at 2am as it is during peak trading. Observability closes that gap by linking technology to business services, showing upstream/downstream dependencies, and enabling “business-aware” and even time-aware criticality—so teams can instantly see what’s affected, who will feel it, and what to do first.
Mixed estates aren’t the exception anymore—they’re the norm. But siloed tools mean siloed answers. Observability helps teams unify IT + IoT + OT signals, correlate symptoms into real incidents, and explain impact in business terms. Start small with one critical journey, instrument the choke points, and build a shared view of “what depends on what.” Faster fixes, fewer surprises, better decisions.
