Amazon CloudWatch is a native AWS monitoring tool for AWS programs. It provides data collection and resource monitoring capabilities.
$0
per canary run
IBM Instana
Score 8.2 out of 10
N/A
Instana, an IBM company since the December 2020 acquisition, provides APM services for SOA, microservices, containerized applications and Kubernetes, and cloud native applications, as well as discovery and monitoring for IT assets.
$75
per month per Managed Virtual Server (MVS)
Pricing
Amazon CloudWatch
IBM Instana
Editions & Modules
Canaries
$0.0012
per canary run
Logs - Analyze (Logs Insights queries)
$0.005
per GB of data scanned
Over 1,000,000 Metrics
$0.02
per month
Contributor Insights - Matched Log Events
$0.02
per month per one million log events that match the rule
Logs - Store (Archival)
$0.03
per GB
Next 750,000 Metrics
$0.05
per month
Next 240,000 Metrics
$0.10
per month
Alarm - Standard Resolution (60 Sec)
$0.10
per month per alarm metric
First 10,000 Metrics
$0.30
per month
Alarm - High Resolution (10 Sec)
$0.30
per month per alarm metric
Alarm - Composite
$0.50
per month per alarm
Logs - Collect (Data Ingestion)
$0.50
per GB
Contributor Insights
$0.50
per month per rule
Events - Custom
$1.00
per million events
Events - Cross-account
$1.00
per million events
CloudWatch RUM
$1
per 100k events
Dashboard
$3.00
per month per dashboard
CloudWatch Evidently - Events
$5
per 1 million events
CloudWatch Evidently - Analysis Units
$7.50
per 1 million analysis units
Essentials
$18
per month per Managed Virtual Server (MVS)
Standard
$75
per month per Managed Virtual Server (MVS)
Self-Hosted
$93.80
per month per Managed Virtual Server (MVS)
Offerings
Pricing Offerings
Amazon CloudWatch
IBM Instana
Free Trial
Yes
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
With Amazon CloudWatch, there is no up-front commitment or minimum fee; you simply pay for what you use. You will be charged at the end of the month for your usage.
Instana is better at call tracing than the previous ones and is cost effective as well. But AppD can do a better job at constructing customised metrics, alert profiles and alert conditions as well, but it misses a lot of important details while tracing a call. At the same time, …
For out business we find that AWS Cloudwatch is good at providing real-time metrics for monitoring and analysing the performance and usage of our platform by customers. It is possible to create custom metrics from log events, such people adding items to a basket, checking out or abandoning their orders.
With enterprise IT assets in a multitude of ecosystems, cloud infrastructures and sometimes still left stuck in a legacy on prem architecture, IBM Instana makes it easy to get the right data to drive development and / or DevSecOps processes with tangible input from the target environment itself.
It provides lot many out of the box dashboard to observe the health and usage of your cloud deployments. Few examples are CPU usage, Disk read/write, Network in/out etc.
It is possible to stream CloudWatch log data to Amazon Elasticsearch to process them almost real time.
If you have setup your code pipeline and wants to see the status, CloudWatch really helps. It can trigger lambda function when certain cloudWatch event happens and lambda can store the data to S3 or Athena which Quicksight can represent.
Can monitor application(s) and system(s) with very large throughput of transactions by the second ( it gets everything !!!)
Provide strong drill down for your applications and will tell you where the points of failure of an application's is ( servers , network , Databases , etc you name it )
Very easy to set up and have it up and running when using the SaaS solution. There's an on premise solution which works just as well but requires more effort and preparation from an infrastructure point of view for your teams to implement.
Continuously improve their features and their agents auto-update and keep up. All while not interfering with your applications.
Let's you create your own dashboards and visualizations that can be tailored for different kind of users with the data collected.
Create your own events and smart alerts so you can know on the spot if something is happening or is likely to happen that needs addressing on your applications / systems
Memory metrics on EC2 are not available on CloudWatch. Depending on workloads if we need visibility on memory metrics we use Solarwinds Orion with the agent installed. For scalable workloads, this involves customization of images being used.
Visualization out of the box. But this can easily be addressed with other solutions such as Grafana.
By design, this is only used for AWS workloads so depending on your environment cannot be used as an all in one solution for your monitoring.
It's very difficult to create custom dashboards, only a handful of scenarios can be visualized to dashboards.
Extracting information from Instana to further analysis into excel for example is something that can be improved. Using an API to get data is very limiting.
Open telemetry features which allow to send application data to Instana is not working as documented.
Instana has been able to fulfill our all requirement and provide out of box solution for multiple component like AWS RDS Monitoring and real time alerting setup on basis of that. it is also easy to integrate with other open-source alerting and monitoring tools which makes it easier to incorporate into our solutions
It's excellent at collecting logs. It's easy to set up. The viewing & querying part could be much better, though. The query syntax takes some time to get used to, & the examples are not helpful. Also, while being great, Log Insights requires manual picking of log streams to query across every time.
IBM Instana totally alters our monitoring approach since it increases the stability of the system and simplifies the process of problem solving. And since it helps to lower the degree of alert exhaustion that we experience, it is a total game changer for us.
Support is effective, and we were able to get any problems that we couldn't get solved through community discussion forums solved for us by the AWS support team. For example, we were assisted in one instance where we were not sure about the best metrics to use in order to optimize an auto-scaling group on EC2. The support team was able to look at our metrics and give a useful recommendation on which metrics to use.
Grafana is definitely a lot better and flexible in comparison with Amazon CloudWatch for visualisation, as it offers much more options and is versatile. VictoriaMetrics and Prometheus are time-series databases which can do almost everything cloudwatch can do in a better and cheaper way. Integrating Grafana with them will make it more capable Elasticsearch for log retention and querying will surpass cloudwatch log monitoring in both performance and speed
As a DevOps engineer, I've explored various Application Performance Monitoring (APM) tools, including New Relic for real-time insights, AppDynamics for code-level visibility, Dynatrace for AI-driven monitoring, Datadog for comprehensive observability, Splunk for log management, Stackify Retrace for error tracking, and Raygun for crash reporting. Each tool offers distinct features, and the choice depends on specific use cases, technology stacks, and organizational needs. Thorough evaluations, considering factors like ease of use, integration capabilities, and scalability, help in selecting the most suitable APM solution for effective application monitoring in a DevOps environment.
