Eliminate Visibility Gaps with Hybrid Cloud Monitoring Software

As your business moves to the cloud, your IT environment becomes a rapidly shifting collection of on-premises infrastructure and public and private clouds. This hybrid cloud environment—containing both monolithic and containerized, microservice-based application architectures—creates real obstacles for your IT teams when it comes to infrastructure monitoring.

Your existing monitoring tools are likely inadequate for cloud infrastructure monitoring. Yet, adding more domain-focused hybrid cloud monitoring software to the mix only complicates things further, as disconnected tools and data sets create visibility gaps and costly delays in resolving issues that impact business services and user experiences.

ScienceLogic can help. The ScienceLogic AI Platform offers a unified approach to hybrid cloud monitoring and enables intelligent, automated operations. By consolidating all your monitoring tools in a single platform, ScienceLogic lets you simplify monitoring tasks while eliminating gaps with full-service visibility.

The three stages of hybrid cloud monitoring

Hybrid cloud monitoring software enables your IT teams to easily perform the three essential tasks of monitoring data in your cloud environments.

Visualizing the data 
Hybrid cloud environments generate enormous amounts of data. At the same time, your IT teams may have less visibility into certain aspects of your cloud infrastructure. Your hybrid cloud monitoring software must deliver 100% visibility of your IT environment while also normalizing data into an operational data lake. This produces data you can trust as you mine it for actionable insights.

Understanding the problem 
Raw data and alerts generated by a vast hybrid cloud infrastructure can easily overwhelm IT teams and lead to alert fatigue. Attempting to address each alert manually consumes too much time, and individual point solutions can’t isolate the problem fast enough. To help you understand a problem—and to understand the relationships and dependencies involved—your hybrid cloud monitoring software must detect anomalous service behavior, correlate anomalies with impact on services, and cut through the noise to quickly establish the root cause of an issue.

Acting on insights 
After identifying issues, a superior hybrid cloud monitoring solution will enable you to automate a wide range of IT workflows. By automating ticketing and routing, you can solve problems faster to ensure better customer experiences. And by automating troubleshooting and remediation, you can accelerate root cause analysis and improve mean time to repair (MTTR).

Hybrid cloud monitoring software from ScienceLogic

SL1, part of the ScienceLogic AI Platform delivers everything you need from your hybrid cloud monitoring software. As a unified IT operations platform, SL1 gives you visibility across your entire IT footprint—from public clouds to private clouds and data centers. SL1 collects and stores all your data in a clean and normalized data lake. It provides context that lets you see how each component works together to support your applications and business services. When you can see what’s being used by whom, you can more easily optimize your cloud resources. SL1 also makes it easy to integrate and share data across your entire infrastructure in real time through bi-directional integrations that automate manual data and process workflows.

With SL1, you can:

• Monitor any technology or vendor—anywhere: SL1 hybrid cloud monitoring software lets you combine data sets from 500+ out-of-the-box technologies across your hybrid cloud infrastructure and extend the integration to other technologies, using a low-code design environment. To avoid blind spots, SL1 monitors all your technologies and vendors—from public clouds, serverless, and micro services-based technologies to software-defined networks, servers, storage, virtualization solutions, IoT, unified communications, and more.
• Create a real-time operational data lake: Discover, collect, merge, and normalize a broad range of data and metrics, including performance, logs, config, availability, events, change, and topology from apps, infrastructure, network, and third-party systems.
• Maintain complete visibility: Configurable dashboards, maps, and reports deliver real-time operational insights. With SL1, you can quickly assess impact, drill down on root causes, and remediate incidents with automated workflows. SL1 also synchronizes data from your operational data lake with your CMDB, CI/CD, provisioning, BI/analytics, and other solutions in your IT management ecosystem.

The benefits of consolidating hybrid cloud monitoring software

When you consolidate all your hybrid cloud monitoring efforts with the ScienceLogic AI Platform, you can achieve significant results.

• Reduce operational costs: Save up to 80% on IT tool expenses with a unified tool that reduces the cost of licensing and ongoing support contracts.
• Increase efficiency: Fewer vendor products to learn enables your IT staff to complete monitoring tasks up to 96% faster.
  Minimize downtime: Eliminating tool sprawl centralizes alerting and root cause analysis, reducing downtime by achieving faster mean time to repair (MTTR).
• Avoid hidden risk: Consolidated monitoring delivers 100% availability of IT assets from edge to cloud, eliminating hidden risks and helping IT teams quickly spot issues.
• Standardize globally: Standardize operating policies globally while meeting data sovereignty rules.
• Find issues quickly: With SL1, it takes just seconds to determine how extensive an issue is and to identify which experts to bring in.
• Simplify post-incident reporting: Consolidate incident data to quickly build read-outs and eliminate analysis gaps that occur when using multiple tools.
• Focus response: Improve support team collaboration to prevent conflicting changes that extend repair time.
• Future-proof visibility: Reduce the risk of observability gaps and support new technology with no/low code builders that make it easy to monitor practically any asset.
• Manage more AIOps use cases: Simplify your AIOps strategy and do more with less, using a single platform to monitor, analyze, and automate IT operations.

Why ScienceLogic?

IT operations (ITOps) teams in organizations and governments around the world trust ScienceLogic to provide actionable insights that predict and resolve problems faster. Combining solutions for AIOps and observability with IT automation software and network automation tools, ScienceLogic accelerates digital transformation by removing the difficulties of managing complex, distributed IT services.

The ScienceLogic AI Platform uses patented technology to find everything within an IT environment, delivering visibility across all technologies, vendors, data centers, and clouds. Digital experience monitoring capabilities enable teams to monitor and manage infrastructure through the lens of IT’s impact on business services and customer experiences. With ScienceLogic, ITOps can manage IT environments at speed, at scale, and in real-time.