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Observability platforms are the tools that let you efficiently monitor your systems with the power of observability.
The success of your modern business is highly impacted by data-driven decisions.
Having a proper observability platform enables you to understand performance bottlenecks, improve processes, and solve problems faster.
Now lets take a look at the best observability platforms below.
BrowserStack
BrowserStacks Test Observability has emerged as a strong solution for enhancing testing processes through advanced monitoring and analytics.
Datadog
Datadog provides you with a unified observability platform designed for the cloud age.
Collect and correlate data from more than 600 vendor-backed technologies.
Powered by AI, you get cutting-edge automated anomaly detection.
Additionally, machine learning helps you detect performance issues.
Integrate.io
Integrate.io provides a fully automated, flexible, and real-time data observability platform.
With this, you might focus on your business rather than worrying about your data.
All you better give is the minimum access required to understand and observe your data systems.
If you have a data warehouse, then you only need to provide read-only access.
You cantry it outfor free before making your choice.
you’re free to check out the Standard version and all its offerings for free.
All you better do issign upto get started, with no credit card required.
Then, the Edge Delta platform can come to your aid.
You get transparency, control, and simplicity.
it’s possible for you to also try it for free for up to 10GB/day.
Bigeye
What sets Bigeye apart is its developer-focused tools and API-first approach.
You get the power of deep customization that lets you integrate data observability on any stack.
You canrequest a demofor a 30-minute briefing where you’re free to see it in action.
Acceldata
Acceldata is an enterprise data observability solution that looks after your entire stack.
With ML-driven automation, Acceldata helps you make the most out of your data while reducing your data costs.
you could use spend intelligence to proactively manage your costs while maximizing business value.
Powered by hypermodal AI at its core, this observability platform efficiently breaks down your data silos.
Additionally, you get proactive prevention of issues before they affect your systems.
Additionally, with the help of data observability, your software development processes can be 4x faster.
it’s possible for you to also reduce time spent on security vulnerabilities by 95%.
Post that, you get hourly pricing with infrastructure monitoring for $0.04/hour for any size host.
The full-stack monitoring comes for $0.08/hour for 8 GiB hosts.
Reduce major IT incidents by over 50% and gain a complete understanding of your infrastructure and applications.
You getAIOpsas a part of the solution, making it easy to detect changes instantly.
Moreover, theres AI-assisted troubleshooting that provides guidance on where to look for issues.
Splunk has two main observability products Splunk tool Performance Monitoring and Splunk Infrastructure Monitoring.
Or you’re able to try out Splunk Enterprise and index up to 500MB/day for 60 days.
The ML-powered incident model helps you quickly get to the root cause.
Thereafter, you have a Starter plan, which you could try with their 30-day free trial.
In case youre looking for enterprise pricing, then their Enterprise plan can get you a custom quote.
StackState
If most of your workload is on Kubernetes, then StackState can be your best solution.
You get pre-configured Kubernetes troubleshooting best practices, which can be easily applied to help spot issues immediately.
Additionally, you might visualize all your Kubernetes dependencies so that you might keep track of any change.
you’re free to sign up for a 14-dayfree trial.
If youre looking for more features, then the Pro version starts at $130 per month.
Then, theres also an Enterprise version with custom pricing for company-wide large-scale applications.
What Are the Pillars of Observability?
Metrics are the numeric values generated by your system.
This includes things like CPU utilization and API response times.
Metrics are a great indicator to quickly find if everything is running fine.
They are very good for looking up historical data and tracking trends.
When you need granular details of your program and its logic, logs come into play.
Think of logs as records of events to discover unpredictable behaviors.
So, youll get comprehensive system details like what the error has happened and when it took place.
How to Choose the Right Platform
Catching bad data before it impacts your system is crucial.
Hence, you need an all-rounder data observability platform that meets your specific business needs.
Moreover, there should be real-time visibility into monitored applications and actionable insights that support critical business decisions.
