ScienceLogic vs VMware Tanzu Observability by Wavefront comparison

ScienceLogic is a hybrid IT infrastructure monitoring tool that is designed to help organizations digitally transform their companies by making the management of complex, distributed IT services easier. Using the solution’s discovery techniques, users can find everything they need in a network, gaining visibility across all vendors and technologies that are run in the cloud or data centers. In addition, the ScienceLogic solution can help users seamlessly monitor and manage cloud environments, monitor network resources, manage storage, and monitor app health and performance.

By implementing ScienceLogic, organizations can:

• Act on data that is shared across technologies and IT ecosystems in real time.
• Apply multi-directional integrations to automate workflows at cloud scale.
• View everything across cloud and distributed architectures.
• Discover all IT components across physical, virtual, and cloud.
• Collect, merge, and store a variety of data in a clean, normalized data lake.
• Contextualize data through relationship mapping and machine learning (ML) for actionable insights.
• Understand the impact of infrastructure and applications on business service health and risk.
• Accelerate root cause analysis and execute recommended actions.

ScienceLogic Features

ScienceLogic has many valuable key features. Some of the most useful ones include:

• Visibility
• Collaboration
• Monitor internet of things
• Monitor key applications
• Storage management
• Bandwidth monitoring
• CPU monitoring
• Virtual machine monitoring
• Video conference monitoring
• IP address monitoring
• Data migration
• Prevent unused capacity
• Monitor public and private cloud
• Monitor services
• View performance of server environment

ScienceLogic Benefits

There are many benefits to implementing ScienceLogic. Some of the biggest advantages the solution offers include:

• Single console: ScienceLogic allows you to monitor the performance of services, apps, and other resources - whether they are private, public, hybrid, or multi-cloud - from a single console. In addition, the solution makes it possible for you to also contextualize the resources and determine dependencies.

• Spot unused resources: With ScienceLogic’s platform, you can spot unused resources so you can decommission them or distribute them to avoid congestion.

• Unified view of interdependencies: ScienceLogic is capable of mapping relationships between infrastructure components and storage environments, giving users a unified view of the interdependencies. This enables users to determine the root causes of problems that come from their storage assets.

• Easier app health and performance monitoring: ScienceLogic can help you identify components of apps that are vital to business operation, apply the best practice monitoring policies to well-known applications, and track where infrastructures are deployed.

• Voice, video, and collaboration capabilities: ScienceLogic makes it easy for you to monitor call quality, collaboration stack, and endpoints.

Reviews from Real Users

Below are some reviews and helpful feedback written by PeerSpot users currently using the ScienceLogic solution.

A Senior Infrastructure Architect says, “ScienceLogic can offer both serverless connectivity and agent connectivity. The stability of ScienceLogic is great.”

A Senior Consultant at a tech services company mentions, “It is very easy to configure because we are using an agent-less version. You can very quickly implement a collector for monitoring device servers.”

VMware Tanzu Observability is a high-performance streaming analytics platform. It enables observability for metrics, counters, histograms, and traces/spans. Because it scales to very large data ingestion rates and query loads, the product is unique in its field. You can collect data from a variety of services and sources across your entire application stack, as well as examine details for earlier ingested data. After sending your data to your Wavefront instance, you may examine your data on custom dashboards, receive alerts on problem values, and do anomaly detection and forecasting.

VMware Tanzu Observability can support over 200 integrations, including cloud providers, DevOps tools, big data, and others. You can utilize the platform’s sophisticated Graphical User Interface to connect with the Wavefront service, which includes several pre-built dashboards, charts, and alerts. SDKs, the Wavefront REST API, and CLIs are also accessible on our Github website. Additionally, there are tight integrations with Spring Boot, Kubernetes, and Tanzu Mission Control.

VMware Tanzu Observability Features

VMware Tanzu Observability has many valuable key features. Some of the most useful ones include:

• Analytics: Advanced query language helps you save time and money.

• API: API with a lot of flexibility for effective alerting and visualization.

• Architecture: Enterprise-scale performance in real time.

• Dashboards and charts: Use dashboards and charts to visualize the data. Filters and functions can help you find exactly what you're looking for. Use aggregation functions like sum() or average to combine multiple time series. Use dashboard variables to adjust the focus of a dashboard or combine functions to show or hide some of the information. A variable, for example, could be used to display the production or development environment. Choose from a variety of chart types (line plot, point plot, table, etc.)

• Alerts: You can build alerts directly from charts and customize them to detect problems. The solution will send you alert notifications with details and a chart graphic if you've set up an alert with customized information.

• Queries: You can extract exactly the information you need using the Wavefront query language (WQL). You can personalize your charts with filters and functions so that the signal stands out among the noise.

• Distributed Tracing tool: Use Distributed Tracing to interact with a service map, inspect traces and spans, and drill down into problematic areas.

• Various setup methods:
  
  
• Cloud: Perform the bare minimum of configuration to allow the Wavefront service to access data in your cloud environment. As a result, data from cloud services can be directly ingested.
  
  
• Integrations: VMware Tanzu Observability supports more than 200 integrations with different data sources. You just need to change a single configuration file and you're ready to go.
  
  
• Start from where you are: If your environment already has a metrics infrastructure, you can pre-process the data to match the Wavefront Data Format and transmit it to the Wavefront proxy directly.
  
  
• Direct Ingestion: Direct ingestion is the best option in some circumstances.
  
• Histograms: Wavefront histograms may be the best answer for high-velocity measures.
  
• App monitoring with distributed tracing: For traces, the product supports Jaeger and Zipkin, as well as any OpenTracing-instrumented applications. You can also use one of our SDKs to transmit custom traces. The Application Map GUI makes it simple to explore trace data, RED metrics, and other metrics.