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Don't Get Caught in the Splunk vs ELK Trap

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Don't Get Caught in the Splunk vs ELK Trap

The two most often discussed choices for log management and data analysis are Splunk and ELK, but there's more out there...

· Performance Zone ·
Free Resource

SignalFx is the only real-time cloud monitoring platform for infrastructure, microservices, and applications. The platform collects metrics and traces across every component in your cloud environment, replacing traditional point tools with a single integrated solution that works across the stack.

Being able to interrogate data about transactions that take place in your IT applications is critical when you need to ensure performance, availability, security, and the desired user experience.

Many companies have considered the two choices that are most often discussed, namely Splunk and the Elastic Stack. Both of these choices offer a pathway to desired outcomes, but with some caveats.

With Splunk the pathway starts with bright, glossy shiny marketing delivered through huge events on large stages, but many who have considered this path grow concerned about the costs of unfettered volumes of data that must be collected, curated, and analyzed. If you can afford infinite storage, then you can afford Splunk.

The other oft' considered choice is ELK (Elasticsearch, Logstash, and Kibana)
also known as the elastic stack. ELK is open source, so the software costs are very low, but the complexity of implementation can be immense. A great mind once said "you end up paying twice as much for what you get for free", and the experience of many indicates this is true with ELK.

Both Splunk and ELK provide powerful toolsets for log management and data analysis, but powerful tools demand experts to operate, and this is both a cost and process concern. Experts are expensive and translating a data request into a query can be very time-consuming. If the data being analyzed holds knowledge which is only of value immediately, sometimes the effort can be wasted.

There are other choices!

One such choice is Nastel AutoPilot Insight, which delivers a very cost-effective method of capturing, storing and analyzing data. As well as analyzing historical data within data lakes (like ELK and Splunk), Nastel AutoPilot Insight also continually learns from streams of new data, using everything it touches to update its A.I. (Artificial Intelligence) using innovative machine learning techniques. In this way unusual patterns or previously identified situations can both be identified as signals in the data in real time, allow immediate alerts and actions to be automated. This model allows you to reduce your storage costs while delivering real-time analysis.

Nastel AutoPilot Insight also includes a natural language query language that allows business and technical staff to directly query the data with the need to always go through data scientists.

Lower costs, faster results are things we (and you) know you need to consider.

To find out more please visit https://www.nastel.com/it-operational-analytics/ or contact Nastel today!

SignalFx is built on a massively scalable streaming architecture that applies advanced predictive analytics for real-time problem detection. With its NoSample™ distributed tracing capabilities, SignalFx reliably monitors all transactions across microservices, accurately identifying all anomalies. And through data-science-powered directed troubleshooting SignalFx guides the operator to find the root cause of issues in seconds.

performance ,splunk ,elk ,nastel autopilot insight

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