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Figuring out how to monitor a large tech stack requires a robust solution. The best software will provide insight into the overall health of the infrastructure, and you're running, providing visibility where none previously existed.
Not only will the right solution help you monitor a large tech stack effectively, but it will offer intelligent alerts, telling you if something is up or down and letting you dive into important metrics that reveal day-to-day performance.
Let's dive into how to monitor a large tech stack, why it matters, and the best solutions to help you pull it off with ease.
To monitor a large tech stack, your business requires a full-stack monitoring solution.
These solutions combine;
All in one tool to increase visibility and help you improve performance.
The software you use to monitor a large tech stack will act as the single source of truth for IT teams, allowing them to check various aspects of their systems in a streamlined and efficient manner.
Monitoring a large tech stack means;
By tracking countless metrics about so many different aspects of your tech stack, a robust monitoring solution can introduce observability where it didn't exist before.
When trying to monitor a large tech stack, most solutions come with a core set of features, but you'll need to compare each solution side-by-side to understand precisely what you're getting.
Observability is a concept in IT and development that helps teams understand why a system or application behaves in a specific way.
Without observability, you merely know the effect and not the cause, making fitting an appropriate, sustainable solution difficult.
Usually, in the absence of observability, teams have no choice but to use a band-aid solution, which allows them to manage or minimize the effect of the problem even while the situation itself persists.
Observability tells you why an issue is occurring to begin with and helps you remedy it properly so it won't be an issue in the future.
Gaining observability should be a primary goal when trying to monitor a large tech stack.
These days, just about every tool promises to offer advanced analytics or reporting tools, but these features only matter if they reveal helpful metrics.
Fortunately, your full-stack solution will most certainly provide insights that you can't find elsewhere.
By correlating information from transactions, applications, and infrastructure, full-stack analytics will tell you a lot about what's happening in your tech stack (and business as a whole).
An intuitive analytics dashboard with appropriate sorting features must-have once you find a solution to monitor a large tech stack. The insights you gain will prove invaluable.
Both artificial intelligence (AI) and machine learning (ML) have a growing presence in the tech industry, especially relating to monitoring and reporting.
The tool you choose should leverage both of these technologies to help you analyze behavior patterns in your apps and proactively alert you to issues.
With the combined powers of AI and ML, you can use predictive analytics and algorithms that can help you plan for increased capacity and other changes, aiding scalability and supporting business growth, flexibility, efficiency, and competitiveness.
If you want to stay competitive, finding a solution that uses AI and ML to monitor a large tech stack is the right move.
Consider these leading tools to help you monitor a large tech stack effectively.
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Dynatrace is an all-in-one platform for monitoring mainframes and multi-cloud environments. It hits all the essential aspects, tracking everything from infrastructure to end-user experience.
As a monitoring tool, Dynatrace captures data, provides insight into individual components, and shows things within contexts, such as the relationships between components and layers.
The best features of Dynatrace include the ability to replay sessions, monitor users, and monitor synthetic transactions.
With a 360-degree view of every action performed in your stack, you can optimize customer experience, analyze customer behavior, and visualize how potential issues impact users.
New Relic opens the doors to analyzing and troubleshooting your entire tech stack. With this platform, you can quickly pinpoint the cause of problems and efficiently find a resolution thanks to real-time monitoring of infrastructure, application performance, and end-user interactions.
With New Relic, they take a "pay for what you need approach," with a platform that scales as you do. You get up to 100GB free each month, and you can get started without a credit card.
The best features of New Relic include the ability to combine monitoring methods and achieve observability without making any code chages.
You can also benchmark user experience metrics with each deployment. New Relic even gives you Logs in Context alongside standard log management tools, which correlates context alongside logs to speed up problem-solving.
Zenoss is driven by artificial intelligence, optimizing application performance even in the most complex environments with support for multi-cloud infrastructure. Analyze data from dependencies, streams, agents, logs, events, and more using AIOps.
Historical information combines with real-time data to help you understand the state and performance of apps and systems at any point in time. With machine learning, you can manipulate real-time models of your services to identify issues and potential improvements.
The best features in Zenoss include the ability to instantly isolate issues and perform root-cause analysis with machine learning.
You can also dive into in-depth dashboards to improve service health visibility and investigative processes.
Are you looking for the best full-stack monitoring tool for your business? Adservio has helped countless companies achieve observability at scale through advanced monitoring and reporting solutions.
Contact our team today to discuss your full-stack monitoring needs, and we'll help you get on the right path to flexible and sustainable growth.
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