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VMware Tanzu Observability by Wavefront OverviewUNIXBusinessApplication

VMware Tanzu Observability by Wavefront is #5 ranked solution in top Container Monitoring tools, #15 ranked solution in top Cloud Monitoring Software, #17 ranked solution in APM tools, and #23 ranked solution in Infrastructure Monitoring tools. PeerSpot users give VMware Tanzu Observability by Wavefront an average rating of 9.0 out of 10. VMware Tanzu Observability by Wavefront is most commonly compared to Datadog: VMware Tanzu Observability by Wavefront vs Datadog. VMware Tanzu Observability by Wavefront is popular among the large enterprise segment, accounting for 68% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 24% of all views.
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What is VMware Tanzu Observability by Wavefront?

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.

VMware Tanzu Observability by Wavefront was previously known as Wavefront, Wavefront by VMware, VMware Tanzu Observability .

VMware Tanzu Observability by Wavefront Customers

Box, Intuit, Workday, Groupon, British Gas, SpaceApe, Marketo, DoordDash, Lyft

VMware Tanzu Observability by Wavefront Video

VMware Tanzu Observability by Wavefront Pricing Advice

What users are saying about VMware Tanzu Observability by Wavefront pricing:
  • "I don't have the details. In our case, there is a mixture in place. We have production usage, and we are also doing training for VMware. So, we also have a training instance. It is worth the money you would spend on it. That's because if you were to build all of this yourself by using some of the open source tools, then you would need a lot of time."
  • "The licensing costs are very high, particularly when you consider that we have to purchase a level 1 license for every integration, such as the load balancer, HAProxy, and the MSSP. And if you want to use vSAN, that's another license. Then, of course, Tanzu Observability has its own separate license."
  • VMware Tanzu Observability by Wavefront Reviews

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    Yves Sandfort - PeerSpot reviewer
    CEO & Majority Shareholder at Comdivision Consulting GmbH
    Real User
    Top 10
    Easy to deploy, worth the money, and helpful for uptime monitoring and performance insights
    Pros and Cons
    • "For us, the ease of deployment in combination with TMZ was the most important part because we don't have to manually deploy a complex monitoring solution. We can more or less do that with the click of a button, and we are not dependent on the developers to provide us with all the necessary features and functions to make that work. We can just deploy it on a workload cluster and monitor at least a good part of the workload. If we want to go into detail, we clearly need to make changes, but for a good part of application monitoring, it gives us good insights."
    • "Its billing model is consumption-based. I understand the consumption-based model, but it is not necessarily easy to estimate and guess how many points or how much we are going to consume on a specific application up until we get to that point. So, for us, it would be helpful to have more insights or predictability into what we can expect from a cost perspective if we are starting to use specific features. This can potentially also drive our consumption a bit more."

    What is our primary use case?

    We use it to monitor not only whether applications and services are up and running but also to get some insights into the applications such as how many transactions are being processed, if there is any downtime, or if a specific transaction is taking longer than normal. So, it is not only about availability but also about the actual performance of applications within our Kubernetes deployments.

    It is a cloud service. It doesn't have a version number.

    What is most valuable?

    For us, the ease of deployment in combination with TMZ was the most important part because we don't have to manually deploy a complex monitoring solution. We can more or less do that with the click of a button, and we are not dependent on the developers to provide us with all the necessary features and functions to make that work. We can just deploy it on a workload cluster and monitor at least a good part of the workload. If we want to go into detail, we clearly need to make changes, but for a good part of application monitoring, it gives us good insights.

    What needs improvement?

    Its billing model is consumption-based. I understand the consumption-based model, but it is not necessarily easy to estimate and guess how many points or how much we are going to consume on a specific application up until we get to that point. So, for us, it would be helpful to have more insights or predictability into what we can expect from a cost perspective if we are starting to use specific features. This can potentially also drive our consumption a bit more.

    The other thing for us is that while it is great that we have all these standard metrics, it would be good if we can also more easily define standard metrics to be consumed for our own application. At the moment, for a lot of applications, we have to reinvent the wheel every time. If there was something so that we can build our own packaging of metrics, it would be helpful. In the future, we might be deploying our software to other customers as well. So, they should make it easier to redeploy that.

    There should be more customizable dashboards. The Wavefront dashboards are very technical and a more business-oriented dashboard design would definitely help.

    For how long have I used the solution?

    We have been working with this solution for about a year and a half.

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    What do I think about the stability of the solution?

    It is a stable solution. We didn't have any major outages or anything.

    What do I think about the scalability of the solution?

    It works perfectly fine. We have 10 to 15 people who use this solution. Its users are all across the board.

    How are customer service and support?

    I have not yet needed any support, which is a good thing.

    How was the initial setup?

    It is very easy to set up. Getting the contract and everything else done with VMware was complex, but deploying the actual application and getting it up and running was a matter of hours, if not minutes.

    What's my experience with pricing, setup cost, and licensing?

    I don't have the details. In our case, there is a mixture in place. We have production usage, and we are also doing training for VMware. So, we also have a training instance.

    It is worth the money you would spend on it. That's because if you were to build all of this yourself by using some of the open source tools, then you would need a lot of time. That's always the question. Are you willing to invest money or time? We typically don't have that much time. So, we decide more for the money part, but that depends on each customer individually.

    Which other solutions did I evaluate?

    The primary reason for going for this solution was that we were anyways committed to the Tanzu space. With that, it was just a natural addition. We are using other VMware products. For monitoring, we are using vRealize Operations, and we also have other VMware products in many other areas. So, for us, it was just a natural addition. Any other application would've had to provide us with a very good reason for why we would even think about changing.

    What other advice do I have?

    To first-time users, my advice would be to start monitoring an application that you fully understand, also from a performance perspective, and customize that one fully to your needs and understand it before you actually start investigating applications about which you might not have all the details. So, you really need to understand Wavefront/Observability before you go into any unknown territory with it.

    I would rate it a 10 out of 10 because from our perspective, it is easy to deploy, and it is easy to consume. The main caveats we have with it are understanding the billing, et cetera. That is something that is easy to solve and not necessarily a product issue. It is more of a license and organizational issue. Everything else is pretty easy and straightforward, and we can easily deploy it, whether it is for on-prem or cloud technologies. So, from that perspective, we are more than happy with it.

    Disclosure: My company has a business relationship with this vendor other than being a customer: customer/partner
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    PeerSpot user
    Nagaraju Kandula - PeerSpot reviewer
    Hybrid Cloud consultant at NCS
    Consultant
    Bestows support and security for container platforms, with easy integrations
    Pros and Cons
    • "Tanzu itself, integrated with multiple solutions, bestows support and security upon a container platform, especially when it comes to managing open-source container platforms such as Kubernetes."
    • "The main problem I have is that the license cost is very high."

    What is our primary use case?

    I am a hybrid cloud consultant and developer acting as a primary service provider at my organization and I handle multiple integration configurations between all our VMware products, including vRealize Automation, vRealize Orchestrator, and Tanzu.

    As VMware partners, we are capable of deploying Tanzu Observability anywhere with vSphere, including on-premises and cloud deployments, and we can integrate it with an MSSP. We also install and use HAProxy, then integrate with the VM Orchestrator. For our clients, we release the automation and provide services such as creating the control plane with multiple nodes. We currently have multiple installations based on this type of environment.

    Tanzu enhances any container platform that we use such as Kubernetes but it is also integrated with multiple other container solutions.

    What is most valuable?

    Tanzu itself, integrated with multiple solutions, bestows support and security upon a container platform, especially when it comes to managing open-source container platforms such as Kubernetes.

    As a separate operating system, it lets you easily add packages for these aspects of container management (e.g. for updating and automation of SaaS apps, in addition to increasing security and support), and with Tanzu you can integrate with an MSSP to provide even more security without using a proxy.

    What needs improvement?

    The main problem I have is that the license cost is very high.

    Another thing is that, MSSP-wise, it would be better if we can add an MSSP as a separate product, to provide a security console integrated with Tanzu Observability, much like how the load balancer is integrated with Tanzu.

    For how long have I used the solution?

    I have been using Tanzu Observability for nearly two years.

    What do I think about the stability of the solution?

    It's a stable solution.

    What do I think about the scalability of the solution?

    It is scalable. 

    How are customer service and support?

    We have faced some issues with their support, but I wouldn't be too hard on them because the product is fairly new to them as well. For some issues, they are able to provide solutions quickly, but for others they do tend to take a while.

    How was the initial setup?

    The initial setup is very easy. We had no problems there. The deployment takes around three hours, based on the network bandwidth.

    What about the implementation team?

    We only have two people, one junior researcher and one senior researcher, for deployment and implementation.

    What's my experience with pricing, setup cost, and licensing?

    The licensing costs are very high, particularly when you consider that we have to purchase a level 1 license for every integration, such as the load balancer, HAProxy, and the MSSP. And if you want to use vSAN, that's another license. Then, of course, Tanzu Observability has its own separate license.

    With Tanzu Observability itself, a minimum of three clusters is required with the standard vSphere license, which we have to procure. Overall, with Tanzu, the MSSP, integrations and add-ons, it can cost up to a $100,000 for all these multiple solutions together, for a two-year license period with full technical support.

    What other advice do I have?

    The biggest piece of advice I can give to others is to look into the Tanzu Advanced license, especially when going with Kubernetes Grid.

    In all, I would rate Tanzu Observability an eight out of ten.

    Which deployment model are you using for this solution?

    Hybrid Cloud
    Disclosure: My company has a business relationship with this vendor other than being a customer: Partner
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    PeerSpot user
    Buyer's Guide
    Download our free Cloud Monitoring Software Report and find out what your peers are saying about VMware, Datadog, Amazon, and more!
    Updated: September 2022
    Buyer's Guide
    Download our free Cloud Monitoring Software Report and find out what your peers are saying about VMware, Datadog, Amazon, and more!