Stackify Reviews

Name: Stackify
Brand: Stackify
Rating: 3.9 (6 reviews)

3.9 out of 5

6 reviews
71% willing to recommend

2,750 followers

What is Stackify?

Stackify is an application performance management (APM) solution that combines application performance monitoring with logs, errors, and reporting. It is a SaaS solution that is developer-focused. Users can quickly scan, identify, and repair issues with applications. Stackify APM offers valuable tools, such as Prefix and Retrace, which help to make it a comprehensive and valuable APM solution. Stackify is now part of the Netreo family of IT Infrastructure Management (ITIM), which is considered one of the fastest-growing IT organizations in the marketplace today.

Get the Stackify Buyer's Guide and find out what your peers are saying about Stackify, Dynatrace, Zabbix and more!

Stackify is the #60 ranked solution in Log Management Software, #62 ranked solution in Infrastructure Monitoring tools, and #65 ranked solution in APM tools. PeerSpot users give Stackify an average rating of 7.8 out of 10. Stackify is most commonly compared to Dynatrace: Stackify vs Dynatrace. Stackify is popular among the large enterprise segment, accounting for 61% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 26% of all views.

Helped 816,406 peers since 2012

Featured reviews

Moses Arigbede

Head of DevOps at Partsimony

They need to improve non-.NET infrastructure. We always had difficulty when it comes to reporting or metrics that come from Linux operating systems and Docker containers. For anything that runs within the Unix environment, we always had problems with them, however, if it was a document-based application, Stackify was 100%, it gave everything. Now, the aggregation agent, the metric agent for Stackify for Linux, collects everything. When I say everything, I mean, everything. It collects so much information that we now started to term it as useless data as all that ingestion will just come in and overwhelm your log retention limit for the month and really this spike up your cost at the end of the month. You'll need to do a lot in order to train down the data coming in from all your Linux environments, to get to what you really need, which actually takes some time as well. I would like to be able to see metrics about individual running containers on the host machines. Stackify has not really gotten that right, as far as I'm concerned. Netdata has done a better job and New Relic has also done a better job. They need to improve on that. We need to be able to see the individual resource usage of containers running within a particular host.

Read full review

Kalyan Somisetty

Senior Developer at PRESIS KONSULT

In the next version, which I want to try, it'll show the comparison of the old responses of the APS. For example, how much time the old response and the new response with the changes. Right now, I cannot differentiate. The graphical interface should be able to capture nicely how much time it has taken and it should be very clear. Sometimes it confuses us. For example, what is this APA for? What were the average responses and how many requests have happened? It needs to give a clear picture. They should enable request and response capturing in the Stackify user interface to show what the request for the APA is. Then, it'll be very good. It should be able to capture the payload. For example, what is the request and what is the response? If it has a nice way of capturing everything then it would be easy. There is no need of using ELK again for logging. As of now, people will use Stackify or maybe Grafana for seeing the stats of the application or responses, however, it doesn't have the capabilities to show everything. People will go for any exception handling or checking the request and response in the ELK. If Stackify can do this future, then it'll be an easier single tool. It is anyway intercepting the logs, application logs. I don't think it's a big matter to capture extra data with the requested response. That requested response capturing also should be configurable since some people want the question response to be captured and for the people that don't want it, we can use that feature. It can be enabled as desired. Many people are using different monitoring tools like ELK, LogStash, and Splunk - many other tools. However, if you can make this kind of performance tool cover everything, then they will not shift to other solutions. It should be easily scalable and configurable in different instances. For example, if the same application is scaled up to differently, it should be easily integrable into Kubernetes pipelines. They should offer plugins to make it more easily integratable. For development enrollment, it should be free to use.

Read full review

Johnson Adekunle

Senior Software Engineer | AWS Certified Solutions Architect at Venture Garden Group

When Stackify completes drill downs, sometimes there is a block of execution pipelines, and you cannot see the details. It does not allow you to analyze the block of code, and we are unsure what that means. Also, there is a bunch of middleware or native framework execution that Stackify does not analyze, and it is difficult to tell what the issue is. The search feature could be improved. On the trace dashboard, the search box is not intuitive enough. For example, you see search by URL, but it is unclear if you need to search by absolute URL or URL segments. A placeholder in that search box would make a big difference. Also, using Stackify with Docker, there could be better documentation. It might be a knowledge gap, but sometimes we get it working on a Docker container and even with the same configurations, it doesn't work, and we end up searching for documentation on the internet. Another improvement would be the agent memory utilization, which led to our recent reevaluation. For example, you could have a 16-gig server, and the Stackify agent takes a bulk of the memories. Regarding additional features, it would be great to add availabilities of the applications. Other companies use some metrics to measure their application stability, showing the system's availability within a time range.

Read full review

Stackify mindshare

Product category:

As of November 2024, the mindshare of Stackify in the Application Performance Monitoring (APM) and Observability category stands at 0.3%, up from 0.3% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability

Key learnings from peers

Valuable Features

Custom dashboards, performance metrics, responsive alerts, simple setup, fast deployment, DB call analysis, code review enhancement, comprehensive filtering, application rating, load management, performance visualization, accurate details, memory leak detection, and scoring are highly appreciated features of Stackify.

"The filter feature on Stackify is one of the features I found valuable. It's awesome. When I want to get the application logs, the solution gives me many filters. For example, if I want to get logs from my test environment, the option is there for me to select the environment from Stackify, and you can also select the particular application, and you'll see the information you need there. The filter feature alone and the fact that Stackify offers a lot of different filters is what I like the most about the solution because I've used other tools with the filter feature, but the filtering was very difficult, versus Stackify that has good filtering. On Stackify, you can filter the information by the last one hour, or the last four hours, and you can also select the date range and specify the timestamp, then the solution will give you the information based on the date range you specified.Another feature I found valuable on Stackify is its rating feature because it tells you how your application is faring. For example, a rating of A means excellent, while a rating of F means very bad, or that your application is not doing well at all. The ratings are from A to F.I also like that Stackify helps you in terms of load management because the solution gives you information on overutilized resources.These are the most valuable features of the solution."
"The performance dashboard and the accurate level of details are beneficial."
"The deployment is very fast."

Room for Improvement

Stackify should enhance support for non-.NET infrastructure, real-time log retrieval, and container metrics visibility. They require better GUI clarity for APA metrics and response times. Improvements in scalability, configurability, and log export capabilities are needed. Documentation for Docker usage should be more comprehensive, and agent memory utilization needs optimization. Users also suggest adding features to measure application availability and performance to prevent reliance on multiple monitoring tools.

"I've not used Stackify for a while, and I'm currently using a solution now that's not as good as Stackify. Among the solutions I've been using so far, Stackify has been one of the best for me, but there's always room for improvement. For example, I don't know if it's just me, but when I try to get the log from Stackify, sometimes it doesn't appear in real-time. It takes a few minutes before the logs appear. When I redeploy my solution and the application starts, I don't see the logs immediately, and it would take two to three minutes before I see the logs. I don't know if other customers have a similar experience. It's the wait time for the logs to appear that's a concern for me, could be improved, and is what the Stackify team should be looking into.In terms of any additional feature that I'd like added to the solution, I'm not sure if Stackify has a way to export logs out. I've been trying to do it. On the solution, you can click on a spiral-like icon and it shows you the entire error, and I'd prefer an export button that would let me download the error and save that into a text file, for example, so it'll be available on my local machine for me to reference it, especially because the log keeps going and as you're using the solution, the system keeps pushing messages on to Stackify, so if I'm looking at a particular error at 12:05 PM, for example, by the time I go back to my system and would like to revisit the error at 12:25 PM, on Stackify, the logs would have gone past that level and I won't see it again which makes it difficult. When you now go back to that timestamp, you don't tend to see it immediately, but if the solution had an export feature for me to save that particular error information on my local machine for reference at a later time, I won't have to go back to Stackify. I just go to that log, specifically to that particular export that I've received on my local machine. I can get it and review it, and it would be easier that way versus me going back to Stackify to find that particular error and request that particular information."
"The search feature could be improved."
"It should be easily scalable and configurable in different instances."

ROI

Stackify showed a significant increase in developer productivity, reducing debugging time and improving app performance. Users noted cost savings from quicker issue resolution and enhanced code quality. Stackify's monitoring features helped identify and resolve bottlenecks swiftly, leading to higher customer satisfaction. By streamlining error logging and application monitoring, Stackify allowed teams to allocate resources more strategically. It supported proactive maintenance, preventing issues before they impacted users, thus contributing positively to the overall return on investment.

Pricing

Users experienced variable pricing for Stackify, typically ranging from $2,000 to $3,000 per month, with costs depending on data usage. Some used a 30-day trial, while others had pre-set pricing by their DevOps team. Licensing is based on a per-user model, and consultants often use Stackify without incurring personal costs, relying on job-based licensing and setup.

"The price is variable. It depends on how much data we have received in that particular month. Usually, it goes up to $2,000, or, at times, $3,000 USD per month."

Popular Use Cases

Entities utilize Stackify for APM management, infrastructure monitoring, log aggregation, performance testing, and identifying issues in applications. Stackify is employed to track DB calls, third-party requests, and error logs. It assists in monitoring server utilization, setting proactive alerts, and diagnosing resource spikes. Applications in telecom, financial sectors, and others benefit from Stackify's ability to provide detailed logs and insights for troubleshooting and improving performance.

Service and Support

Customers often find Stackify's documentation sufficient, with many not requiring additional technical assistance. Community engagement is frequently utilized. Instances where support was contacted highlight a prompt response. Some users contact support primarily to request new features. Feedback indicates favorable experiences from past interactions, though current use often relies on internal support teams.

Deployment

Users have mixed experiences with Stackify's initial setup. Some report straightforward installation and fast deployment, especially for those already familiar with the environment. They find it easy to replicate settings across applications. Others mention it's challenging for less experienced staff and requires knowledge of third-party requests and database calls. The setup can be complex for Docker but is quick for server monitoring. Deployment times vary based on the application's size.

Scalability

Stackify remains scalable within payment plan limits. Users can be added easily. Organizations with 80 to 100 users experience no issues. Some find scaling straightforward, depending on their knowledge of Stackify. Multiple engineers confirm scalability and seamless user upgrades.

Stability

Stackify is stable and reliable with no bugs, glitches, crashes, or freezes reported. Users have experienced consistent performance without interruptions. Stability can vary based on the environment; for example, cloud environments like Azure or AWS ensure continuous availability, while on-premises setups may be impacted by local server issues. Stability is generally high with no downtime, except for potential internal DevOps updates.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Stackify Buyer's Guide for additional reliable information.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Financial Services Firm

26%

Computer Software Company

17%

Healthcare Company

Manufacturing Company

Comms Service Provider

Insurance Company

Recreational Facilities/Services Company

Retailer

Hospitality Company

Media Company

Real Estate/Law Firm

Government

Non Profit

University

Aerospace/Defense Firm

Energy/Utilities Company

Wholesaler/Distributor

Consumer Goods Company

Legal Firm

Logistics Company

Compare Stackify with alternative products

Learn more about Stackify

Stackify Prefix

Stackify Prefix helps developers write better code, faster. The tool examines, tests, and approves code as it is being written. Almost every new application is code-perfect, negating the need for exhausting troubleshooting and frustrating time-consuming code review.

Prefix is able to discover poor-performing SQL queries, ORM queries, potential bottlenecks, and concealed exceptions prior to moving the application into production.

Prefix offers Summary Dashboards, intuitive suggestions, integrated logs, and distributed tracing. Distributed tracing expands visibility to cloud-native applications, microservices, and containers and can also provide additional transparency to cache services, web services, third-party services, and more. Users are able to easily move from logs to traces and back.

This valuable tool ensures developers are able to consistently release the best code possible in the least amount of time, while improving performance, productivity, and profitability.

Prefix is a very robust and easy-to-use tool. It can be used seamlessly with Linux, macOS, and Windows. Prefix integrates well with numerous languages, such as Java, Python, Ruby, PHP, Node.js, .Net, and .Net Core.

Stackify Retrace

Stackify Retrace is a user-friendly, trusted APM solution used in more than fifty countries worldwide. Users know that Retrace is able to ensure they can complete quicker, more efficient application development and consistently enhance overall application performance by suggesting important intuitive suggestions users need.

This solution is beneficial to both developers (Dev) and operations (Ops) personnel to learn to improve code and immediately finetune issues by:

Establishing effortless collaboration between Dev and Ops personnel via an easy-to-use GUI dashboard.
Delivering complete transparency of all stages of the application development process, from pre-development to production.
Utilizing performance protocols, such as error tracking, application logs, and code profiling, in real time in order to thoroughly understand how long a code will take to complete various tasks.
Improving overall efficiency and productivity by immediately discovering and repairing application issues.

Retrace Real User Monitoring (RUM) uses both front-end and back-end monitoring to give users a complete picture of what is going on with the applications. This intuitive dashboard displays performance with a complete breakdown of resource usage and integrates the server-side and client traces into one engaging, user-friendly, extensive view.

Retrace is an out-of-the-box solution that works seamlessly with Java stacks, PHP, Node.js, Ruby, Python, .Net, and .Net Core. It is also compatible with many of today’s popular frameworks, such as AWS, Azure, Elasticsearch, MongoDB, MySQL, Oracle, PostgreSQL, Redis, and SQL Server. Additionally, Retrace will work effectively with many cloud providers, containers, and languages, and offers excellent and easy integration with today's favorite tools such as Jira, Slack, Jenkins, and more.