Systems | Development | Analytics | API | Testing

Companies who develop software products generate massive quantities of product performance and user engagement data that can be analyzed to support decision-making about everything from feature planning and UX design to sales, marketing, and customer support.

As fraud continues to grow in prevalence, SecOps teams are increasingly investing in fraud prevention capabilities to protect themselves and their customers. One approach that’s proved reliable is the use of log analytics and telemetry data for fraud prevention. By collecting and analyzing data from various sources, including server logs, network traffic, and user behavior, enterprise SecOps teams can identify patterns and anomalies in real time that may indicate fraudulent activity.

Data is the heart of business operations. And much of that data is sensitive or regulated. Cyber threat actors know they can benefit financially from your data by holding it for ransom or selling it on the dark web. The most recent Cost of a Data Breach Report 2022 from Ponemon Institute and IBM clocks the average data breach cost at $4.35 million USD (that’s $164 USD per data record). The stakes are high. Your security must be too.

The practice of DevOps — development operations — has taken organizations by storm. According to a 2021 report by Redgate Software, 74 percent of enterprises surveyed say they now use DevOps in some form or fashion, compared with just 47 percent in 2016. DevOps practitioners seek to improve the software development lifecycle by fostering closer collaboration between developers and IT operations teams.

Now that we have explored monitoring apis with Prometheus, let’s take a look at monitoring our APIs with Grafana. You may have noticed from the previous blog that Prometheus is awesome, but takes some time to fully flesh out and their dashboards aren’t easy to read or very eye-catching. Luckily for us, Grafana specializes in data visualization. We won’t even have to configure all our Prometheus queries, so let’s get started.

AIOps is an emerging technology that applies machine learning and analytics techniques to IT operations. AIOps enables IT teams to leverage advanced algorithms to identify performance issues, predict outages, and optimize system performance. Nodesource sees significant advantages for developers and teams to increase software quality by leveraging AIOPS.

Have you ever wanted a quick and easy way to monitor your Docker environment? Do you want to have an API monitor with minimal configuration? Well it looks like there has never been a better time to monitor your API as there are currently a plethora of awesome tools out there to help us with monitoring, such as Prometheus and Grafana.