The Oracle Management Cloud is a PaaS combining a suite of IT infrastructure and application performance monitoring solutions. On the standard edition the Oracle Management Cloud includes Oracle Application Performance Monitoring and Infrastructure Monitoring. On the Enterprise Edition the Management Cloud also includes Oracle IT Analyics and Oracle Orchestration. The Management Cloud is also available in a Log Analytics edition.
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Splunk Infrastructure Monitoring
Score 8.3 out of 10
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SignalFX is Real-Time Cloud Monitoring and Observability for Infrastructure, Microservices and Applications. SignalFX was acquired by Splunk in August 2019. SignalFX Infrastructure Monitoring provides real-time cloud monitoring and observability platform for infrastructure, microservices and DevOps. A new SignalFX product, SignalFx Microservices APM, was released March 2020 to detect issues, provide real-time app troubleshooting, and future-proof expectations.
Ideal for a complex organization with requirements to build very complex reports. Especially useful for organizations that already have numerous Oracle products and need to pull information from them. This tool works best when plugged in with other Oracle tools and databases. If you're a larger company, and/or if you're managing a lot of data, Oracle IT Analytics Cloud Service is the perfect tool to manage your Oracle deployment. It provides a number of different options for intelligent analysis while not being too overwhelming to manage. Companies that want a robust tool to manage all data and present it in a visually appealing way to users will greatly benefit from this tool. The tool is very customizable and can be tailored to meet the needs of different users.
Splunk Infrastructure Monitoring is well suited for any complicated environment where you have apps and servers across multiple clouds and platforms and products. If you have a data centre where all your apps and servers are in one single network, you could probably get away with older solutions. But for any modern, complex, hybrid-cloud microservices environment, Splunk Infrastructure Monitoring is a must-have.
SignalFX handles historical metric aggregation exceptionally well, providing a multifaceted approach to event detection based on anomalies.
SignalFX's cost is incredibly flexible with their pricing model of DPM (data-point per minute) vs the traditional "per host" model that most monitoring SaaS use.
SignalFX support is responsive and knowledgeable, very eager to help solve your immediate problems.
SignalFX integrations is vast and constantly growing, making adoption easy even when multiple different open-source technologies are used in your stack.
There's a pretty steep learning curve that needs to be overcome in order to properly deploy this tool. So, unless you're a seasoned IT administrator, you may have a fair amount of homework to do. Implementation and maintenance of this takes a bucket of consulting hours from outside consultants to come in and set up the tool and regularly maintain it, in the long run, this could be costly.
The dashboard is not as easy to set up as I would like, however, after setup it will serve your purpose in the best possible way. You may not be able to find out how some data related to another and you can create a report that you think has all the details you need, but it comes up blank because the data really is not connected.
There aren't enough self-learning materials available like tutorials and how-to videos. I would like to have access to more e-tutorials from inside the tool. A steep learning curve for most. It would be nice to have a robust learning portal within the application where users can access self-learning material directly from the application and step to spet guides on how to perform different tasks.
Does not provide the ease of adding additional data sources without lots of complications. Even though it can handle large data sets, rendering of reports can take a fairly long time if the parameter set is large. For some time it seems like processing takes a bit of time when large data sets are being used. This is not the case with other competing tools.
Comprehensive Monitoring and Observability: Splunk Infrastructure Monitoring offers a comprehensive solution for monitoring and observability of modern, distributed applications and infrastructure. With the ability to monitor metrics, traces, and logs in real-time, organizations can gain deep insights into the health and performance of their systems.Real-Time Alerting and Anomaly Detection: Splunk Infrastructure Monitoring provides real-time alerting and anomaly detection, enabling organizations to proactively identify and address issues before they impact users. This can help improve the reliability and availability of critical systems, reducing downtime and minimizing the impact of incidents.Cloud-Native Monitoring: Splunk Infrastructure Monitoring is designed to support cloud-native architectures and environments, including Kubernetes and serverless platforms. This makes it an ideal solution for organizations that are adopting cloud technologies and need to monitor and manage complex, dynamic systems.Easy to Use and Configure: Splunk Infrastructure Monitoring is easy to use and configure, with an intuitive user interface and out-of-the-box integrations with many popular tools and platforms. This can help organizations get up and running quickly and minimize the time and resources required to implement and maintain monitoring and observability solutions.
I find that learning the interface can take some time. We need a better show-and-tell on how the Teams pages, Dashboard Groups, Dashboards and charts delay. Advance SignalFlow is sometimes hard to build. Some better samples of advanced SignalFlow would be helpful. For example, Splunk SPL has a vast resource of examples.
Splunk Infrastructure Monitoring provides an excellent support experience for customers, offering a range of resources to ensure that users get the most out of their monitoring solution. The support team is knowledgeable and responsive, providing quick and effective assistance to resolve any issues that may arise.One of the key strengths of Splunk Infrastructure Monitoring support is the extensive documentation and online resources available to customers. The Splunk documentation library is comprehensive and well-organized, providing detailed information on every aspect of the product. In addition, the Splunk community is active and engaged, providing a wealth of user-generated content, including tips, tricks, and best practices for using the product.In addition to the extensive documentation and community resources, Splunk Infrastructure Monitoring provides a range of support options to meet the needs of different customers. These include email and phone support, as well as a web-based support portal where customers can submit and track support requests. The support team is responsive and knowledgeable, providing timely and effective assistance to ensure that customers get the most out of their monitoring solution.
Oracle Analytics Cloud is an enterprise solution and can't be compared apple-to-apple with a data visualization tool like Tableau. This is not the same use at all. Before selecting Oracle Analytics Cloud, it is most important to consider the data you are looking to collect and how you plan to visualize it. Other tools like Tableau and microstrategy feel smoother to work with, have better UI's and are quicker when processing data. It is also important to think through how you will use the data across your organizations. Can have a steep learning curve but once you are well trained on this tool, the possibilities are endless. The tool is highly customizable and will generate what you design it to generate. If you are having issues with reports and analytics, it is most likely due to data quality issues. Oracle Analytics Cloud also benefits by adding Essbase in it, to perform multi-dimensional analytics.
They’re not for the same purpose but we’re using NewRelic and Honeycomb for monitoring purposes. NewRelic is used for HTTP client monitoring for system related throughput, error, database and external client monitoring. Honeycomb is used to monitor actual HTTP request/response values. Splunk [Infrastructure Monitoring] is used for real-time application related throughout and error monitoring.
Caused us to get a lot of spam when we redeployed apps and old instances stopped sending metrics. Muting alerts solves this, but people often forget to do it or do it incorrectly.
Helped us find historical info about instances/apps.
