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Machine data analytics is the process of parsing data generated by software from a wide variety of sources including servers, networks, applications and financial records. These, and many other similar sources, produce massive amounts of data including from local operating systems, identity/access management tools, cloud consoles and their associated log files, alerts, scripts and profiles. The goal of machine data analytics is to make this data more understandable by converting it into useful insights to monitor security events.

As a DevOps, SecOps, or IT operations manager, you're surrounded by all the technology for the systems running the entire organization. This means legacy infrastructure, multi-cloud environments, services, tools, and applications.

AWS spot instances are a great way to optimize AWS costs, however, you risk an increase in service disruptions. See how we tested and monitored AWS spot instances to get the best of both worlds.

As a result of the pandemic, we are all navigating an unpredictable mix of virtual, hybrid, and in-person conditions in our business and personal lives. This situation isn’t going away any time soon.

Managing the security of your Amazon Web Services (AWS) environment requires constant vigilance. Your strategy should include identifying potential threats to your environment and proactively monitoring for vulnerabilities and system weaknesses that malicious actors might exploit. In a complex environment – such as your AWS account with a multitude of services, coupled with various architectures and applications – the ideal solution should be both comprehensive and straightforward.

Delivering value to customers quickly and efficiently is critical to the success of modern businesses. Understanding the process and timeframe during which an organization generates new ideas and then designs, develops and deploys them is vital to success.

We are living in a data world. Data describes and controls almost every aspect of our life, from the president's elections to everyday grocery shopping. Data grows exponentially and so does the complexity of applications that manage that data.