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.

If you work in IT, especially on the decision-making side, then you should be aware of how vital logging is. When things go wrong with software in production, a solid logging approach often is the difference between hours of fruitless troubleshooting and an easy fix. Today, we’re here to talk about logging by covering a specific angle. Namely, we’ll answer the question, “What is log collection?”

Wow, it's finally here! After 25 fantastic articles we've reached the end of the 2019 Elastic Advent series. We've covered Elasticsearch and Python, Auditbeat, ECS, data transform, jvm options, anomaly detector models, Maps, SSL configuration, Smart query cancellation, data transforms, SLM, the new enrich processor, App Search, and so much more. In the topics we've spoken in German, Greek, English, French, Finish, Spanish and Swedish.

Prometheus and Grafana are two monitoring tools that, when combined, provide all of the information DevOps and Dev teams need to build and maintain applications. Prometheus collects many types of metrics from almost every variety of service written in any development language, and Grafana effectively queries, visualizes, and processes these metrics.

Logs are a wealth of information containing meta-data from IP addresses, User Names, and error codes. While this is all extremely helpful, the task of understanding all this can seem overwhelming at times to an untrained eye. Other times, corporations might have additional resources they would like to enrich their logs with, i.e., adding a department name to a log message that depends on the username in the log.