My 7 Picks for Greatest Software Efficiency Monitoring Instruments

I’m no stranger to functions crashing, freezing, or throwing errors on the worst attainable occasions. However relating to software monitoring itself, I needed to take a more in-depth take a look at what works.

Working at G2 means I get entry to one thing even higher than advertising and marketing claims: actual suggestions from IT operations groups, DevOps engineers, and SREs who use these instruments daily.

So, I dug into a whole bunch of evaluations to search out the greatest software efficiency monitoring instruments that customers constantly belief to maintain their methods working easily. 

The end result? This listing of the highest 7 APM software program instruments, all backed by real-world experiences (not simply product guarantees).

7 greatest software efficiency monitoring instruments as per G2 evaluations

Recognizing a difficulty is one factor. Fixing it earlier than it impacts customers is one other. Actual groups care about that distinction, and I centered on it whereas evaluating these instruments.

I wasn’t on the lookout for platforms that simply throw dashboards on the drawback. I paid shut consideration to how briskly customers might hint points throughout companies, how clear the foundation causes turned, and the way a lot pointless noise bought filtered out.

Some instruments packed in infinite metrics, however left groups guessing. Others helped customers repair what mattered with out including new points. Those that made this listing stood out as a result of they didn’t simply monitor apps; they helped individuals keep forward of issues.

What I prioritized when evaluating APM instruments

I thought-about the next elements when evaluating the very best software efficiency monitoring instruments.

• Finish-to-end distributed tracing: I prioritized instruments that might hint transactions throughout each a part of the applying stack, from frontend experiences to backend companies and databases. With the ability to comply with a consumer journey or API name in real-time throughout all dependencies is essential for diagnosing slowdowns and failures shortly.
• Actual consumer monitoring (RUM): Seeing how actual customers expertise software efficiency, not simply simulated check site visitors, provides essential context. I gave further weight to platforms that built-in RUM alongside backend metrics for an entire image of app well being.
• Clever alerting and noise discount: Nothing feels pressing when every part generates an alert. I centered on instruments that provided sensible, context-driven alerting, surfacing significant points with out overwhelming groups with false positives or minor fluctuations.
• Software dependency mapping: In complicated, cloud-native environments, understanding how companies join (and the place bottlenecks emerge) is significant. I seemed intently at how every platform mechanically (and precisely) mapped service dependencies with out tons of handbook setup.
• Ease of setup and integration: Monitoring should not require months of onboarding or customized engineering work. I prioritized instruments that customers mentioned had been comparatively simple to deploy, configure, and combine with CI/CD pipelines, cloud suppliers, and third-party observability stacks.
• Log and metric correlation: Leaping between logs, metrics, and traces wastes time. The most effective APM platforms unify these indicators, permitting groups to troubleshoot quicker with out searching throughout a number of instruments.
• Scalability for high-volume environments: Lastly, I paid shut consideration to suggestions from bigger groups working huge environments. The most effective instruments scaled simply, with out lagging, shedding hint knowledge, or crashing beneath heavy hundreds.

The listing under accommodates real consumer evaluations from the APM software program class web page. To be included on this class, an answer should:

*This knowledge was pulled from G2 in 2025. Some evaluations could have been edited for readability.

Dynatrace is a full-stack software efficiency monitoring platform designed to assist groups troubleshoot complicated methods quicker and extra clearly. Based mostly on what I noticed in G2 evaluations, Dynatrace stood out for a way a lot it automates from tracing consumer journeys to detecting anomalies throughout giant, dynamic apps.

One of many greatest strengths customers referred to as out was PurePath, Dynatrace’s distributed tracing engine. It stands out as a result of it mechanically traces each consumer transaction from begin to end throughout microservices, databases, APIs, and exterior dependencies with out handbook tagging or customized configuration. Which means groups get quick context round what occurred and the place issues slowed down with out leaping between instruments. It helped scale back the time spent constructing and sustaining hint logic.

One other widespread theme was the Davis AI engine, which analyzes telemetry knowledge to floor potential issues and recommend seemingly root causes. Customers talked about that it helped filter out noise and gave them a centered start line for investigations, particularly throughout essential incidents. As an alternative of simply getting alerts, groups mentioned they had been getting insights. Whereas not each suggestion was excellent, it was sufficient to shift how groups approached problem-solving.

Regardless of its depth, many evaluations talked about that Dynatrace was comparatively simple to make use of, particularly for primary monitoring and visualization. The onboarding course of is well-documented, and a number of other customers famous that auto-discovery of companies labored out of the field with minimal setup. Dashboards and metrics had been out there nearly instantly, which helped groups get early wins.

That mentioned, the deeper you go, the steeper the training curve turns into. Customized dashboards, superior metric evaluation, and creating customized alerts had been all talked about as areas that required both trial-and-error or assist from documentation and help. Some individuals mentioned that the interface bought tougher to navigate when you began fine-tuning the device.

Pricing additionally got here up as a frequent ache level. Some reviewers talked about that whereas Dynatrace provided clear worth, the fee scaled shortly relying on what number of companies or containers you monitored. Others mentioned the pricing construction wasn’t very clear, which made it onerous to forecast bills over time. Just a few evaluations talked about shock payments or decreasing utilization to remain inside price range. It appeared extra manageable for enterprise groups, however each purchaser ought to pay attention to it early on.

What I dislike about Dynatrace:

• As soon as customers began customizing dashboards and metrics, the training curve jumped considerably. A number of evaluations identified that the platform wasn’t as intuitive on the deeper ranges.
• Pricing stood out as a barrier for smaller groups. Many customers mentioned the platform had worth, however as utilization grew, it turned costly to take care of.

What G2 customers dislike about Dynatrace:

“They know the worth they supply and cost you accordingly. It may be very tough to digest the price of the device, and it may be tough to handle your group’s consumption of licensing.”

– Dynatrace Evaluation, Andrew H.

LogRocket helps groups perceive precisely how customers expertise their functions. It’s particularly in style with product and engineering groups seeking to replay consumer classes, monitor efficiency metrics, and catch bugs that conventional APM instruments usually miss.

Essentially the most praised characteristic by far was session replay. Reviewers constantly talked about how invaluable it was to observe a visible playback of what customers truly did earlier than encountering a bug, whether or not that meant misclicks, type errors, or UI glitches. As an alternative of counting on obscure consumer suggestions or guessing what might need gone improper, groups might see the issue precisely because it occurred. Whereas session replay isn’t new, the way in which LogRocket ties it on to community logs and console errors made a noticeable distinction.

One other energy that got here up usually was how properly LogRocket handles frontend efficiency metrics. It tracks key indicators like time-to-interactive, format shifts, and web page load delays from the angle of actual customers. Customers appreciated that efficiency and habits knowledge had been offered side-by-side, making it simpler to correlate slowdowns with real-world impression.

LogRocket additionally earned reward for surfacing actionable insights, not simply knowledge. Critiques highlighted the way it flagged irregular consumer behaviors or utilization patterns, making it simpler to identify when one thing within the product wasn’t working as meant. Some talked about utilizing these insights to enhance onboarding flows, clear up complicated UI parts, or catch failed conversions. Throughout use instances, it appeared to supply extra than simply error monitoring; it helped groups perceive why customers had been getting caught.

However not every part got here simple. The session filtering and search expertise was probably the most steadily talked about challenges. Some customers mentioned discovering a particular session or isolating a difficulty took too many steps. Others needed extra superior filtering choices to slim issues down by consumer kind, occasion, or movement. Whereas the info was there, the interface generally made it really feel buried. Just a few evaluations famous that the dashboards might be complicated with out prior expertise or documentation.

Pricing was one other widespread theme within the suggestions. Smaller corporations, specifically, mentioned LogRocket felt costly as soon as they began utilizing it at scale. Customers felt that whereas the device delivered worth, the pricing mannequin didn’t supply sufficient flexibility. There have been additionally mentions of options being locked behind greater pricing tiers, which made the entry-level expertise really feel restricted.

What I dislike about LogRocket:

• A number of customers mentioned filtering classes felt sluggish, particularly when making an attempt to isolate particular flows or consumer varieties.
• Pricing was a recurring subject for smaller groups, these scaling utilization, or making an attempt to unlock superior options.

What G2 customers dislike about LogRocket:

“LogRocket can get a bit dear, particularly as your app scales and session quantity will increase. Whereas the insights are top-notch, the pricing mannequin primarily based on classes slightly than customers could make it tougher to foretell prices. Nonetheless, if in case you have the price range, the worth it offers by way of quicker debugging and higher product choices is completely price it.”

– LogRocket Evaluation, Iván Sebastián M.

IBM Instana is designed to offer groups complete visibility into software efficiency. It’s usually utilized in environments the place pace issues, from fast-moving DevOps groups to giant enterprises working microservices.

One of the constant factors of reward was Instana’s capacity to mechanically monitor efficiency throughout the complete software stack. Customers steadily highlighted how the platform detects companies, dependencies, and points with little handbook configuration. As an alternative of spending time tagging companies or creating complicated guidelines, groups mentioned Instana dealt with most of that work behind the scenes.  

One other theme was real-time monitoring. Many reviewers mentioned that the most effective issues about Instana was how shortly it surfaced efficiency issues. In contrast to instruments that depend on batch knowledge or delayed alerts, Instana streams metrics with second-level granularity, which helps groups catch anomalies as they occur. I additionally seen a number of evaluations that mentioned they relied on Instana throughout deployments to validate efficiency in close to real-time.

Customers additionally appreciated that the setup was comparatively painless. Many evaluations talked about how shortly they might get visibility into their methods after deploying the agent. Instana’s auto-discovery course of was a major time-saver, particularly when working with complicated architectures like Kubernetes or multi-cloud environments. Even for groups with out a lot expertise in APM instruments, onboarding wasn’t a main hurdle.

The most typical downside I got here throughout was across the consumer interface. Whereas it’s practical, a number of customers mentioned the UI felt unintuitive, significantly as they began diving deeper into options. Some discovered it tough to filter or visualize the particular knowledge they wanted with out leaping by way of a number of steps. Others talked about that customizing dashboards wasn’t as versatile as they’d hoped, and that discovering related traces or metrics required extra clicks than vital. There have been additionally a couple of mentions of sluggish load occasions in sure views. Whereas none of this appeared like a dealbreaker, it did impression total usability.

The second large problem was the training curve when you transcend the fundamentals. Regardless that the setup is simple, mastering the device takes time. A lot of customers talked about struggling to configure customized alerts or perceive the best way to interpret a few of the extra technical metrics. Documentation helped in some instances, however not all reviewers discovered it intuitive or thorough. Just a few additionally mentioned they needed to lean on IBM help to get solutions.

What I dislike about IBM Instana:

• The UI doesn’t at all times sustain with the remainder of the platform; filtering and navigation had been generally flagged as difficult.
• A number of groups talked about that whereas setup was simple, configuring alerts or making customizations afterward concerned extra of a studying curve than anticipated.

What G2 customers dislike about IBM Instana:

“I feel the flexibleness of alerting and customized metrics is perhaps enhanced. I would want extra exact management as a CRO to set risk-specifc thresholds and customise alerts for our specific enterprise setting.”

– IBM Instana Evaluation, Marawan E.

New Relic offers groups perception into software efficiency, infrastructure, and consumer expertise in a single place. Based mostly on what I noticed in G2 evaluations, New Relic made the listing for a way shortly groups can begin monitoring what issues.

Many reviewers praised New Relic’s full-stack observability. It’s clear from the info that customers worth with the ability to monitor every part from software traces and frontend efficiency to server well being and infrastructure metrics inside a single device. This consolidation helped scale back context switching, particularly for groups juggling a number of companies and environments. Just a few evaluations talked about how useful it was to hint points throughout companies with out counting on a number of distributors or stitched-together tooling. Whether or not customers had been troubleshooting backend slowdowns or monitoring third-party API latency, New Relic appeared to ship a constant view of the complete system.

Actual-time monitoring was additionally steadily talked about. Many reviewers appreciated how shortly knowledge appeared in dashboards, making it simpler to answer points as they occurred. The second-level granularity allowed groups to catch efficiency dips and slowdowns with out ready for batch stories. Just a few customers additionally highlighted that alerts kicked in quick, giving them sufficient context to behave with out digging by way of logs manually.

The third standout characteristic was the customizable dashboard expertise. G2 evaluations mentioned New Relic’s interface felt clear, versatile, and user-friendly. Customers appreciated how they might tailor views primarily based on their workflows, whether or not infrastructure well being, service efficiency, or frontend UX. Some individuals additionally referred to as out the power to arrange dashboards for particular groups or parts, which helped make the info extra actionable.

Nevertheless, configuration complexity was mentioned in quite a lot of evaluations. Whereas the platform presents a variety of energy, customers mentioned it took time to grasp the best way to configure every part accurately. Some reviewers talked about that organising alerts, tuning thresholds, or constructing exact queries required a little bit of trial and error. The depth is there, but it surely’s not at all times simple. A number of groups identified that whereas the fundamentals had been simple, unlocking the complete potential took extra effort than anticipated.

As with different instruments on this class, pricing was a priority with New Relic, too. I learn evaluations that whereas the platform delivered worth, the pricing restrictions for smaller groups had been actual. There have been additionally mentions of key options being locked behind higher-tier plans, which added friction throughout analysis. In comparison with some options, customers mentioned they needed to make tradeoffs or scale back utilization to remain inside price range.

What I dislike about New Relic:

• A number of evaluations talked about that configuring alerts, queries, and views might be irritating with out steering, particularly for customized use instances.
• Pricing got here up repeatedly, with groups flagging considerations about scalability, retention, and have entry in decrease tiers.

What G2 customers dislike about New Relic:

“Some integrations are tougher to arrange than they need to be. Whereas New Relic helps a variety of instruments, the documentation can really feel outdated or assume an excessive amount of prior information. I’ve needed to do extra troubleshooting than anticipated simply to get primary metrics working.”

– New Relic Evaluation, Viren L.

Datadog is a full-stack observability platform that helps groups monitor infrastructure, functions, logs, and extra from a central location. It’s broadly utilized by DevOps, SRE, and IT operations groups seeking to unify their monitoring workflows throughout complicated, cloud-native environments.

One of the complimented options within the evaluations was Datadog’s customizable and efficient dashboards. Customers highlighted how they might tailor visualizations to their actual wants, whether or not they had been monitoring service efficiency, system metrics, or software well being. The dashboards had been described as versatile, combining a number of knowledge sources into clear, actionable views.  

Log administration was one other standout energy that got here up throughout many evaluations. Customers valued how Datadog integrates log knowledge straight into the monitoring expertise, making correlating occasions, metrics, and traces in a single place simpler. A number of groups talked about that this integration saved them time investigating incidents as a result of they didn’t depend on separate logging instruments. The power to look, filter, and analyze logs alongside real-time metrics made Datadog particularly helpful for incident response workflows.

The third benefit I seen in G2 evaluations was the ease of integration. Datadog connects with numerous companies, cloud suppliers, and third-party instruments. Integrations labored easily out of the field, with useful documentation and prebuilt templates to get began. This integration depth was a significant win for groups working throughout a number of platforms, serving to them centralize their observability.

Nevertheless, for a lot of customers, the problem wasn’t getting Datadog related; it was studying the best way to benefit from its superior capabilities. G2 reviewers mentioned that organising complicated alerts, fine-tuning dashboards, or absolutely leveraging all of the out there instruments wasn’t at all times intuitive. Many leaned closely on documentation or reached out to help when navigating superior workflows. 

Pricing is a standard theme amongst most of the merchandise I’ve listed up to now, and it additionally confirmed up for Datadog. Whereas the platform presents sturdy performance, prices can add up shortly at scale. Whereas this wasn’t distinctive to Datadog, each purchaser ought to hold it in thoughts when evaluating observability instruments.

What I dislike about Datadog:

• Critiques steadily flagged the training curve for superior options. It’s simple to begin, but it surely takes time to completely grasp dashboards, alerts, and configurations.
• Pricing was a recurring concern, with a number of groups mentioning that prices elevated shortly as they scaled their use.

What G2 customers dislike about Datadog:

“As our utilization grows and we monitor extra hosts and companies, processing prices additionally improve. There’s a studying curve concerned in creating customized queries throughout the log administration interface.”

– Datadog Evaluation, Bikash S.

Rakuten SixthSense Observability offers IT groups with a centralized place to trace points, perceive efficiency patterns, and act on alerts.

Many reviewers underlined monitoring capabilities as considered one of Rakuten SixthSense’s strongest factors. The device successfully tracks software efficiency and surfaces points throughout distributed methods. Critiques famous that the platform helped them shortly spot bottlenecks or irregular habits. The power to observe a number of functions and companies in actual time was mentioned to be a key energy.

One other generally highlighted facet was how user-friendly the platform is. Reviewers famous that the dashboard and interface had been simple to navigate, even for groups new to observability instruments. Many customers talked about that SixthSense made it easy to floor the fitting data with out overwhelming them with noise. The visible readability of the dashboards was usually referred to as out, serving to groups get a fast sense of total well being at a look. Individuals appreciated that the training curve was comparatively light, with primary workflows feeling intuitive straight away.

The alerting system additionally stood out as a optimistic. Many customers appreciated how the device surfaced real-time alerts, permitting their groups to reply shortly to rising points. Some reviewers famous that the alerts had been well-integrated with their workflows, making it simpler to coordinate responses and keep away from downtime. There have been additionally optimistic mentions of how the alerting system helped groups prioritize points by severity or urgency.

Regardless of the appreciation the alert characteristic will get, a number of evaluations identified that it might be improved. Some customers famous working into false positives or noisy alerts. Just a few reviewers additionally mentioned they wanted to spend further time fine-tuning thresholds or filters to get the alerts to work as meant. Others expressed a want for extra superior alerting choices or integrations that will assist scale back handbook triage work.

One other space the place reviewers noticed potential was within the documentation. Whereas many customers praised the help staff’s responsiveness, some famous that stronger documentation might assist them navigate superior configurations and troubleshooting extra independently. Just a few additionally talked about that having deeper guides or extra detailed examples would make it simpler to tailor the platform to their distinctive environments.

What I dislike about Rakuten SixthSense Observability:

• I learn throughout evaluations that the alerting nonetheless wanted refinement, with occasional false positives or restricted customization.
• Documentation was additionally recognized as an space for enchancment, significantly concerning superior configurations and troubleshooting.

What G2 customers dislike about Rakuten SixthSense Observability:

“ There are sometimes some false optimistic alerts, and for log monitoring, you want to set up further dependencies.”

– Rakuten SixthSense Observability Evaluation, Nimesh D.

Google Cloud Console isn’t a specialised APM device, but it surely offers customers centralized entry to handle and monitor functions working on Google Cloud Platform (GCP).

One of the constant strengths customers emphasised was real-time monitoring. Reviewers appreciated with the ability to see dwell efficiency knowledge for his or her GCP companies, observe useful resource utilization, and spot system points as they emerged. A number of evaluations famous that the platform made it simple to remain on prime of system well being with out counting on separate monitoring instruments. Whereas it’s not a full-featured APM platform, the monitoring it presents nonetheless offered many groups with important operational insights.

Consumer-friendliness got here up as one other benefit. Many reviewers mentioned they discovered the console intuitive and straightforward to navigate, even when juggling a number of companies. The visible design of the dashboards and efficiency views made it simpler for groups to shortly perceive what was occurring with no need to dive deep into logs or metrics.

The third standout level was buyer help. A number of reviewers referred to as out Google’s help staff as responsive and useful when points did come up. Whether or not it was assist organising monitoring workflows or troubleshooting system alerts, customers felt they’d dependable backup once they wanted it.

That mentioned, GSC isn’t a purpose-built APM device. Whereas it offers stable monitoring for GCP companies, it doesn’t supply the deep software tracing, superior alerting, or fine-grained efficiency analytics you’d discover in devoted APM platforms. Customers on the lookout for full-stack observability would want to pair GSC with extra specialised options.

One other space the place some reviewers needed enchancment was the UI. Whereas the console was usually seen as user-friendly, there have been mentions of inconsistent parts, particularly when navigating throughout complicated service architectures. Whereas these weren’t dealbreakers, they added some friction to day-to-day use.

What I dislike about Google Cloud Console:

• Whereas it presents sturdy GCP monitoring, it isn’t as APM-focused, requiring further instruments for deep software insights.
• Some customers identified inconsistent UI parts that added friction when managing complicated environments.

What G2 customers dislike about Google Cloud Console:

“Its documentation continues to be bettering, and so they should scale their area and availability zones.”

– Google Cloud Console Evaluation, Ankur V.

Able to act in your APM insights? Discover the greatest incident administration instruments to assist your staff reply quicker, coordinate fixes, and scale back downtime.