Top Observability Tools & Platforms 2022

    Observability tools and platforms exist at the center of a distributed application architecture. They help DevOps and site reliability engineering (SRE) teams actively debug their systems rather than passively waiting for a customer, employee, or partner to report an outage. In the long run, successful observability helps reduce downtime and aids with continuous integration and continuous delivery/deployment (CI/CD), thus improving customer experience overall.

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    What are Observability Tools?

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    Observability tools measure system outputs to help IT teams understand what’s happening internally at any given time. To accomplish this, these platforms aggregate three types of system-wide telemetry data:

    • Metrics, which are performance-related KPI measurements such as memory usage and transactions per second
    • Logs, which are unstructured, qualitative records of events taking place within a system
    • Traces, which connect the dots between sequential events

    However, observability is greater than the sum of its parts. You must be able to view all of the information in one place for it to have any significant meaning. That’s where an observability platform provides value. With an observability platform in place, you can identify what the issue is, where it’s happening, and which systems are impacted. It can also tell you what caused the issue in the first place and what you can do to fix it. 

    Continue reading about the future of observability: Observability’s Growth to Evolve into Automation Solutions in 2022

    Observability vs Monitoring: What are the Differences? 

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    Observability and monitoring are closely related, but they are distinct concepts. Monitoring tools like application performance monitoring (APM) software have historically been used to record information about events as they happen. For example, they alert DevOps and SRE teams if an application is down or if any problems need to be resolved. However, they fall short of providing a holistic view of an enterprise’s distributed application environment. 

    This is where observability solutions come into play. Observability platforms take the information gathered from monitoring tools and help identify patterns that would be otherwise obscured. Observability also makes it easier to pinpoint the root cause of a system-wide problem, whereas monitoring only provides the basis for a trial-and-error strategy. In many ways, monitoring tools are like a patient’s pulse oximeter, and observability platforms are like the patient’s team of doctors that use the blood oxygen information to diagnose broader health issues.

    In summary, monitoring answers questions about what’s happening at any given time; observability takes this one step further to identify the why. In the context of this relationship, better monitoring leads to better observability, and unreliable monitoring makes observability impossible.

    Learn more about monitoring: Best System Monitoring Software & Tools 2022

    Top Observability Tools Comparison

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    Intuitive user interfaceReal-time insightsForever free versionEasy integrationsFast query responses
    New RelicNoYesYesYesYes

    New Relic

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    New Relic is a veteran in the observability market, and it’s stayed on pace with evolving tech trends and enterprise needs. The platform offers straightforward instrumentation and easily customizable dashboards. Plus, you can choose from more than 400 “quickstarts” that provide one-click integrations, dashboards, and alerts with the top software tools you use day-to-day.

    Several users have commented that New Relic’s interface has a very clean and modern design that presents information in a visually appealing way. However, a nice GUI isn’t always intuitive or easy to navigate. In fact, some users have mentioned that clicking into different areas of the platform may lead to calls and emails from the sales team if the particular feature requires an upgrade.

    Screenshot of New Relic interface.
    Source: New Relic


    • Easy to use for tech teams
    • Real-time reporting
    • Fast query processing


    • Less-than-desirable navigation
    • Lack of streamlined documentation and tutorials
    • Confusing pricing structure


    New Relic offers four pricing plans. All plans include unlimited basic users, 100 GB of data, and one free full platform user.

    • Free: $0, with limited data and users
    • Standard: 
      • $0.25/GB beyond included 100 GB 
      • $99/full platform user (1 included for free, maximum 5 total)
      • $49/Core User
    • Pro: Contact sales for customized pricing
    • Enterprise: Contact sales for customized pricing


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    Honeycomb was built with an observability-first approach, which means it’s supremely positioned to help Dev, DevOps, and SRE teams operate more efficiently. No matter how complex your system is, Honeycomb provides a single view of all business events. One of the most impactful features is BubbleUp, Honeycomb’s tool that points you toward the correct dimension of an outlier event that’s causing issues.

    Some users have noted that the Honeycomb interface can be a bit clunky or overwhelming when you’re starting out, but the platform offers extensive step-by-step tutorials to get up and running. On a similar note, a few users have commented that Honeycomb’s approach to observability lacks some of the traditional monitoring capabilities like live reporting and long-term data retention. Depending on your needs, this may be a drawback or a non-issue.

    Screenshot of Honeycomb interface.
    Source: Honeycomb


    • Automatic outlier detection
    • Guided tutorials
    • Query history


    • Lacks traditional monitoring capabilities
    • Clunky UI
    • Fewer integrations than competitors


    Honeycomb’s pricing is more straightforward than most observability platforms on the market. There are three pricing plans you can choose from:

    • Free: $0, with limited support, event volume, and triggers
    • Pro: Starting at $100/month
    • Enterprise: Contact sales for customized pricing


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    Splunk has been a giant in the APM market for nearly two decades, and it currently offers a smorgasbord of observability apps. There are individual solutions for infrastructure monitoring, APM, logging, front-end user monitoring, synthetic monitoring, and automated incident response. You can choose to add each of these apps à la carte, or you can bundle them for one monthly fee under the Splunk Observability Cloud.

    One of the biggest benefits of Splunk is that its instrumentation features natively support OpenTelemetry, an open-source observability framework. This advantage means the whole platform is completely vendor-agnostic and provides a consistent structure for collecting telemetry data across applications. With this simplicity in your backend, you and your teams can spend more time improving app features and performance.

    Screenshot of Splunk interface.
    Source: Splunk


    • OpenTelemetry-native
    • Scalable
    • Full-stack support


    • Steep learning curve
    • Observability is an afterthought
    • Interface could use refinement


    There are many different ways you can slice and dice the Splunk Observability Cloud platform, but the top packages come down to full-stack observability or end-to-end observability:

    • Standard (full-stack observability): starts at $95/host/month
    • Plus (end-to-end observability): starts at $110/host/month


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    Similar to Splunk, Dynatrace is an all-in-one platform for full-stack observability, application monitoring and security, digital experience, business analytics, and cloud automation. However, what makes Dynatrace unique is its AI engine, Davis. Davis provides precise, automated insights about your system data instantly and continuously. These insights include dependency detection, anomaly detection, root cause analysis, and business impact analysis.

    One drawback of the platform, however, is that Dynatrace’s pricing structure means it can get pretty expensive to implement. Several users have noted how high the total cost of ownership can get, especially if you want a truly all-in-one solution. The AI capabilities are unique, though, so it may be worth the extra cost in the long run.

    Screenshot of Dynatrace interface.
    Source: Dynatrace


    • AI-driven analytics
    • Easy to implement
    • Accessible customer support


    • Total monthly cost can get pricey
    • Complex implementation
    • Needs better documentation


    Dynatrace’s pricing is modular-based:

    • Full-stack monitoring: Starting at $69/month
    • Infrastructure monitoring: Starting at $21/month
    • Digital experience monitoring: Starting at $11/month
    • Application security: Starting at $12/month
    • Open ingestion: Starting at $25/month
    • Cloud automation: Starting at $0.12/Cloud Automation Unit


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    Lightstep is a relatively new player in the observability market, but its features are competitive with many of the market leaders. It uses the same OpenTelemetry framework as Splunk, plus a unique change intelligence tool that correlates events and anomalies then provides context for all alerts. Many users have also praised Lightstep for its ease of use and clean, intuitive design.

    Because Lightstep is newer, though, many of the features are still maturing. The search functionality leaves much to be desired at times, and some users have reported slow performance. However, the Lightstep team releases new updates frequently, so they’re constantly evaluating where they have room for improvement. 

    Screenshot of Lightstep interface.
    Source: New Relic


    • Uses dynamic sampling rather than traditional triggers
    • Open-source libraries
    • Intuitive user interface


    • Slow data processing
    • Many features still in development
    • Documentation for satellite deployment could be better


    Lightstep offers three pricing plans:

    • Community: Free
    • Teams: Starting at $100/month
    • Enterprise: Contact sales for volume discounts

    How to Choose the Right Observability Tool

    The perfect observability tool will offer the features you need, integrate with the tools you use to develop and manage your applications, and stay within your budget. More importantly, though, it will help your DevOps and SRE teams operate more efficiently. In turn, this helps improve customer experience and drive broader business goals.

    After reviewing the observability tools on this list, you still might be unsure which solution is the best for your organization. The best way to narrow it down is to read testimonials from customers like you, so you can get a better understanding of how each platform will meet your needs. Then, explore the free editions of your top picks or consider starting a free trial to test drive them for yourself before committing to one.

    Read next: AI and Observability Platforms to Alter DevOps Economics

    Kaiti Norton
    Kaiti Norton
    Kaiti Norton is a Nashville-based Content Writer for TechnologyAdvice, a full-service B2B media company. She is passionate about helping brands build genuine connections with their customers through relatable, research-based content. When she's not writing about technology, she's sharing her musings about fashion, cats, books, and skincare on her blog.

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