Simplifying Hybrid Cloud Observability

IT operations (ITOps) teams seeking to improve hybrid cloud observability face enormous challenges today. While the concept of “migrating to the cloud” sounds like a simple proposition, the reality is that hybrid cloud environments are extraordinarily complex.

Hybrid clouds frequently require teams to manage an unwieldy mix of legacy and modern applications and infrastructure. As if the challenge of monitoring and optimizing this complicated infrastructure wasn’t big enough, the sheer volume of data produced by hybrid environments makes it incredibly difficult to pinpoint cause and remediate services when faltering services cause business disruption. To make matters worse, teams are often saddled with vendor-specific observability and monitoring tools that only offer coverage of certain domains, technologies, or cloud instances, severely limiting hybrid cloud observability.

ScienceLogic offers an easy way to navigate this chaos. The ScienceLogic S AI Platform solves the challenges of observability in hybrid clouds with a single platform that lets you collect, consolidate, and see your data in one place, allowing your ITOps teams to quickly drill into problematic services or devices and easily correlate events business impact with automated root cause analysis.

The challenges of monitoring hybrid clouds

When monitoring and managing service levels to minimize business disruption, ITOps teams face some serious hurdles. With technological advances and rapidly expanding IT footprints, hybrid IT estates have created massive increases in the volume, variety, and velocity of data that ITOps teams must manage.

Even when teams can overcome the limitations of existing tools to visualize and aggregate data received from sources throughout the IT ecosystem, they still must find ways to transform this information into meaningful insights and actionable intelligence. To discern trends, patterns, and events that may potentially impact business services, they must continually infuse context into a veritable fire hose of performance data.

Without an automated solution for hybrid cloud observability, ITOps teams will have difficulty identifying and understanding the relationships between IT system components. As a result, they’ll be consigned to managing incidents retroactively rather than proactively. They will continue to struggle with visibility gaps, limited awareness of service status, inconsistent processes, difficult integrations, and time-consuming workflows.

The impact on the business can be substantial. Manual root cause analysis is time-consuming and challenging, with human-powered log analysis consuming up to 70% of the time required to restore service operations after an incident. Lacking hybrid cloud observability tools, teams will have difficulty supporting new services, meeting the rapidly evolving demands of the digital business, and delivering a consistent and reliable customer experience.

Fortunately, the ScienceLogic AI Platform makes the tools for hybrid cloud observability easily available, enabling ITOps teams to remediate service-impacting issues as early as possible.

Hybrid cloud observability with ScienceLogic

As a leading infrastructure monitoring and AIOps platform, ScienceLogic lets ITOps teams see everything across multi-cloud and distributed hybrid cloud architectures, contextualize data through relationship mapping, and use integration and automation to act on insights.

See everything in one place 
The ScienceLogic AI Platform surpasses the capacity of human ITOps teams by creating a real-time operational data lake. The platform automatically collects and consolidates performance data from every layer of the technology stack, providing full-stack observability with a comprehensive view of what’s happening in the IT environment. With the ability to quickly sift through massive volumes of data, ScienceLogic lets ITOps team stay one step ahead of constantly changing IT environments.

Gain actionable, human-friendly service insights 
SL1, part of the ScienceLogic AI Platform, leverages AI/ML capabilities to automatically correlate and analyze operational telemetry and contextual information, producing actionable insights into system health. Generative AI/ML algorithms proactively detect rare or anomalous service behavior in increasingly automated systems, correlating those anomalies and events within a service context to uncover critical issues and diagnose root cause up to 10x faster.

Unify hybrid cloud observability tools on one platform 
With ScienceLogic, ITOps teams can stop jumping between disparate monitoring tools. The ScienceLogic AI Platform delivers a seamless experience with a single user interface and at-a-glance insights. This unified solution for hybrid cloud observability reduces the time spent troubleshooting performance issues in complex IT environments. Teams can also quickly onboard new assets without risking visibility gaps. Low/no-code tools allow teams to build custom monitoring solutions 8x faster to ensure complete monitoring of new devices services.

The benefits of hybrid cloud observability

With ScienceLogic, IT operations teams can:

• Accelerate troubleshooting to identify and fix issues before they impact users. SL1 provides predictions in an easy-to-interpret format, using relevant context to help understand outcomes and prioritize work based on service impact.
• Anticipate issues. Rather than learning as it goes—like other large language models—SL1 uses unsupervised AI to identify novel issues and events even without prior knowledge.
• Speed mean time to repair (MTTR). SL1 automatically analyzes and determines root causes in real time with 95% accuracy. With SL1, teams can reduce noise, consolidate tools, and eliminate the manual tasks of sifting through logs.

Why ScienceLogic

Thousands of organizations across the globe trust ScienceLogic for the tools they need to empower ITOps teams, speed innovation, and drive better business outcomes. Our platform delivers deeper visibility and improves the availability of business services by monitoring an organization’s digital footprint, wherever it resides.

With ScienceLogic, you can:

• See everything: ScienceLogic enables ITOps teams to see everything from one location, consolidating data throughout the organization with support for traditional data centers, hyperscalers, and cloud-native services.
• Avoid downtime: The ScienceLogic AI Platform leverages tools for artificial intelligence observability, speeding diagnosis and remediation of issues by providing real-time visibility into the impact of IT infrastructure on business services.
• Automate root cause analysis: By automatically correlating events and anomalies within a business service context, ScienceLogic accelerates analysis of service impact and root cause.
• Automate IT workflows: ScienceLogic’s library of best practices for triage and remediation helps ITOps to automate workflows and routine processes.
• Scale quickly: As businesses and their IT environments continue to expand in size and complexity, ScienceLogic’s platform grows right along with them to deliver vital IT solutions today and tomorrow.