Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here.
Coralogix, which analyzes software logs with AI, today announced $25 million in new funding and launched a real-time analytics solution that allows customers to pay according to data priority instead of volume. This allows them to get queries, alerts, and machine learning capabilities without using storage.
About 50% of logging statements don’t include any information about critical things like variable state at the time of an error, according to GitHub and OverOps surveys. That may be why developers spend an estimated half of their time on troubleshooting and bug-fixing.
Founded in 2014, San Francisco-based Coralogix provides AI analytics solutions for a host of software development challenges. Its suite automatically clusters log records back to their patterns and identifies connections among those patterns, forming baseline flows for comparison and future study. Scaling from hundreds to millions of logs — with integrations for popular languages and platforms like Docker, Python, Heroku, .NET, Kubernetes, and Java — Coralogix spotlights anomalies and affords developers access to a suite of identification, visualization, and remediation tools.
Coralogix is hosted as an Amazon Web Services app, and it hooks into Jenkins and other popular continuous integration/continuous delivery tools to ingest updates pushed to production systems. A query in Coralogix pulls up grouped results — highlighting when and where something occurred, any associated parameters, and the total percentage of those occurrences within the logs.
MetaBeat will bring together thought leaders to give guidance on how metaverse technology will transform the way all industries communicate and do business on October 4 in San Francisco, CA.
It also creates “component-level” insights from log data, in part by applying machine learning to software releases to spot quality issues. The service can enrich weblogs with IP blacklists to identify suspicious activity while issuing alerts when errors or critical log entries occur. In addition, Coralogix has an integrated security information and event management and intrusion detection system that taps machine learning to pinpoint anomalies within network packets, server events, and audit logs.
Coralogix claims to analyze over 1 million events per second in real time. Moreover, the company says it has automatically benchmarked over 100,000 software versions to date.
The log management market is expected to reach $1.2 billion by 2022, according to Research and Markets, and Coralogix isn’t the only one leveraging AI to surface abnormalities. Mountain View-based LogDNA raised $25 million last December to further develop its AI-powered tools that surface data to mitigate outages. And Anandot, which is based in Israel, claims it analyzed over 5.2 billion data points per day over six months to launch its log-monitoring platform.
But Coralogix — which has 60 employees and expects to reach 100 by the end of the year — has already managed to grow its client base to over 1,800 brands, among them Lufthansa, BioCatch, Fiverr, KFC, and Caesars Entertainment. (500 customers came onboard in the last six months alone.) In August, it expanded to India with an onsite team to offer customers based in the country regional server and data storage capabilities.
This latest investment brings Coralogix’s total raised to $41.2 million. New investors Red Dot Capital partners and O.G. Tech Partners co-led the round, with participation from Aleph, StageOne Ventures, Janvest Capital Partners, and 2B Angels.
VentureBeat's mission is to be a digital town square for technical decision-makers to gain knowledge about transformative enterprise technology and transact. Discover our Briefings.