Imagine yourself with a folder containing millions of gigabytes of data. If you were asked to process it with an Excel spreadsheet, you wouldn’t need to be a data expert to know that’s impossible. We refer to that amount of data as “big data”. Big data requires advanced techniques, tools, and methods beyond what regular data analytics entails, which is where big data analytics comes in.

Whatever the size of your network, as an engineer you will often notice a significant amount of log data being generated. This data will require centralizing for further analysis and management, which can be particularly challenging if you have varying log formats, such as plain text or HTML.

Splunk has become one of several players in the observability industry, offering a set of features and a specific focus on legacy and security use cases. That being said, how does Splunk compare to Coralogix as a complete full-stack observability solution? Let’s dive into the key differences between Coralogix vs Splunk, including customer support, pricing, cost optimization, and more.

When it comes to observability, your organization will have no shortage of options for tools and platforms. Between open source software and proprietary vendors, you should be able to find the right tools to fit your use case, budget and IT infrastructure. Observability should be cost-efficient, easy to implement and customers should be provided with the best support possible.

Observability solutions can easily and rapidly get complex — in terms of maintenance, time and budgetary constraints. But observability doesn’t have to be hard or expensive with the right solutions in place. The future of your observability can be a bright one.

Last October, Splunk Observability Evangelist Jeremy Hicks wrote a great piece here about the Four Golden Signals of monitoring. Jeremy’s blog comes from the perspective of monitoring distributed cloud services with Splunk Observability Cloud, but the concepts of Four Golden Signals apply just as readily to monitoring traditional on-premises services and IT infrastructure.

Grafana Loki is an open source logs database built on object storage services in the cloud. These services are an essential component in enabling Loki to scale to tremendous levels. However, like all SaaS products, object storage services have their limits — and we started to crash into those limits in Grafana Cloud Logs, our SaaS offering of Grafana Loki.

When Dolly Parton sang about “Workin’ 9-5”, she almost seemed to understand the very specific pain of sitting at an IT help desk and getting one last call at 4:59 in the afternoon. When you pick up that last call of the day, the last thing you want is to begin a long, arduous investigation.