Improve performance with cloud network monitoring tools

With the rise of hybrid cloud and multi-cloud infrastructure, maintaining visibility of your IT environment is more difficult than ever. Legacy monitoring tools simply can’t deliver insight into today’s mix of clouds, microservices, and containers straddling both traditional infrastructure and the cloud. But without the ability to see every part of your IT environment, your IT teams can’t possibly know whether your cloud services, cloud apps, virtual machines, and infrastructure are well-used and working properly.

That’s why cloud network monitoring tools must be an essential part of your monitoring technology stack. With the right solution, your teams can understand how critical workloads are performing and ensure the availability, performance, and security of your cloud environments in a way that empowers everyone to leverage the same set of data.

As a leader in IT Operations Management (ITOM) and AIOps technology, ScienceLogic delivers a cloud network monitoring solution that gives you the ability to see and monitor everything that’s going on in your cloud environment. The ScienceLogic AI Platform provides visibility across multi-cloud and distributed architectures, contextualizes data through relationship mapping, and integrates with your IT ecosystem to share data across technologies in real-time.

The challenges of network monitoring in cloud environments

Today’s hybrid cloud environments are an extraordinarily complex mix of interconnected technologies. Encompassing public or private clouds infrastructure, on-premises hardware, and software-defined solutions, hybrid cloud environments can minimize cost, improve performance, enhance agility, and enable your IT infrastructure to scale as needed.

However, cloud infrastructure introduces several critical challenges for IT teams.

Lack of visibility  
The complexity of hybrid cloud infrastructure makes it harder to gain visibility into all parts of an IT environment. That’s a problem when any one of the interconnected technologies in a cloud environment fail or experience performance issues. Troubleshooting becomes even more difficult when transient components like serverless and microservices are continuously introduced into the environment.

Lack of unified tools  
While cloud network monitoring solutions offer visibility and insight into cloud environments, many solutions are limited to observing specific elements of the infrastructure stack. To gain complete visibility with these point solutions, IT teams must adopt multiple technologies, which only compounds their hybrid cloud monitoring difficulties with tool sprawl.

Lack of integration 
When cloud network monitoring solutions can’t integrate easily with legacy systems, lack of standardized data formats can complicate data collection and analysis. IT teams must often resort to time-consuming workarounds, hindering the ability to get real-time insights into the health and performance of cloud environments.

ScienceLogic SL1: a premier cloud monitoring platform

SL1, part of the ScienceLogic AI Platform provides cloud network monitoring capabilities that overcome the challenges of legacy monitoring tools. With SL1, you can view service health across your entire IT estate—on-premises, in the cloud, and everything in between. With 500+ pre-build integrations spanning over 100 vendors and thousands of device types, ScienceLogic supports the most commonly deployed infrastructure, application, and cloud technologies.

With cloud network monitoring solutions on the ScienceLogic AI Platform, you can:

• See everything. Dynamically discover public, private, hybrid, and multi-cloud resources within your IT environment.
• Identify relationships. SL1’s machine learning (ML) technology automatically maps dependencies to help you understand the relationships between infrastructure, applications, and business services.
• Improve performance. A unified view of all your clouds simplifies the task of ensuring optimal performance.
• Avoid outages. SL1 lets you shift from device-centric to service-centric monitoring to proactively avoid service-impacting outages.
• Troubleshoot faster. Identify root cause quickly with ML-based behavioral correlation. Automatically detect strange and anomalous patterns and shapes of performance data, and quickly assess and isolate the root cause of any issue.
• Improve mean time to repair (MTTR). SL1 lets your teams accelerate troubleshooting and repair by automatically capturing real-time diagnostic data and running recommended triage and remediation actions from a single command center.
• Share data. SL1 lets you integrate and share data across technologies and your IT estate in real-time.
  Simplify cloud monitoring. SL1 delivers a single system for monitoring multiple clouds, letting you avoid multiple tools and interfaces.

The benefits of cloud monitoring with ScienceLogic

The ScienceLogic AI Platform consolidates multiple cloud network monitoring functions on one platform. This provides some remarkable benefits for your IT team and your business.

• Reduced costs. Consolidating cloud network monitoring tools on one platform may help you save up to 80% on IT tool costs.
• Increased efficiency. With only one cloud infrastructure monitoring tool to learn, your IT team can complete monitoring tasks up to 96% faster.
• Less risk. Consolidating monitoring tasks on SL1 provides 100% visibility of your environment from edge to cloud. By limiting visibility gaps, your IT teams can quickly uncover issues and mitigate risk.
• Minimal downtime. With hybrid cloud monitoring tools that centralize alerting and root-cause analysis on one platform, you can reduce MTTR by up to 60%.
• Easy standardization. With one platform for cloud monitoring, it’s easier to standardize operating policies globally and to comply with data sovereignty rules.
• Instant insights. SL1 cloud network monitoring provides a real-time view of all assets related to a business service and shows the status of each.
• Simpler reporting. Using a single cloud network monitoring solution lets your IT teams quickly build read-outs and eliminate analysis gaps that occur when data is collected from multiple tools.

Why choose ScienceLogic?

ScienceLogic is a leader in automated IT operations, providing organizations with actionable insights to predict and resolve problems faster in a digital, ephemeral world. Our AIOps and Observability solutions empower IT operations, free up IT talent, and accelerate innovation and transformation to drive business outcomes.

The ScienceLogic AI Platform relies on innovative technologies to process trillions of data points and transform data into actionable insights for IT teams. Trusted by thousands of organizations around the world, ScienceLogic’s technology meets the rigorous security standards of the U.S. Department of Defense (DoD) and has delivered proven performance at scale for the world’s largest service providers.