Gathering logs that contain IP addresses are quite common across your infrastructure. Your firewalls, web servers, wireless infrastructure and endpoints can contain IP addresses outside your organization. Having additional data on those logs that gives you the Geolocation of the IP address helps in your investigations and understanding of your traffic patterns. For Example, if you can see logs on a World Map, you know if you are communicating to a country you don’t normally talk to.

Web server logs and other access logs from technologies such as NGINX, Apache, and AWS Elastic Load Balancing (ELB) provide a wealth of key performance indicators (KPIs) for monitoring the health and performance of your application and understanding your users’ experience. These logs tell you how long pages take to load, where errors are occurring, which parts of your application are requested the most, and much more.

2020 is finally here — and with the dawn of this new decade comes cutting-edge advancements to our platform as well as more opportunities to meet up and receive feedback from customers and community members at events around the world.

Cloud computing has changed the way we think about software, and opened up many new possibilities in both business and software development. Log management tools have also been affected by this, which begs the question – what are the pros and cons of cloud log management when compared to on-premises solutions? There are several key things you should consider before opting for either one, so here is a brief overview of the most important aspects that will help you make an informed decision.

Today’s post covers yet another log-related concept: log forensics. What’s this, and why should your organization care about it? Well, this is a topic related to logs, which are ubiquitous in the technology field. An IT organization that doesn’t generate many MBs worth of logs each day would be a rare occurrence nowadays. Even though logs are omnipresent, specific terms might not be so well-known. Not long ago, we covered log analytics, and today it’s log forensics time.

Cloud migration is more than just a buzzword. According to several reports released at the beginning of 2019, almost 70% of enterprise organizations are moving their applications and infrastructure from local, self-managed hardware to one of the big cloud providers. Multiple case studies have been written about companies like Spotify, Dropbox, Gitlab, and Waze, all of which have replaced their core business infrastructures with cloud data centers.

The volume and ambiguity of log files makes them impossible for humans to process. The promise of logs is revealed when AIOps is applied to analyze their deep structure.

With 2020 around the corner, we’re entering a new decade in the cybersecurity landscape. What does the future hold for security professionals? We’d like to ring in the new year with good news, but the truth is that hackers will become smarter and breaches will grow in scale and number, creating an even greater pressure for security teams to keep up. Read our five predictions for 2020 to understand what to look out for and how to prepare for the new decade.

What a year for CHAOSSEARCH. Last April we announced our new cutting edge platform that reimagined how analytics is delivered at scale. A big data platform, we inverted how analytics should be consumed. A solution without the proverbial issues of time, cost and complexity forever associated with big data.

AWS is a popular destination for IaaS that offers quickly saleable resources to meet even the largest customer demands. Cloud scalability like this can generate a large amount of logs you need to monitor to keep up with your cybersecurity goals. Getting those logs into a SIEM or centralized log management platform such as Graylog is key to have proactive monitoring and alerting.