Logz.io has raised $23 million in Series C funding led by OpenView, with participation from investors 83North, Giza and new investor Vintage Investment Partners, bringing total capital raised to-date to $47 million.
The company also announced the release of two new capabilities - Logz.io Data Optimizer and Logz.io Application Insights - designed to help companies derive more value from machine data.
This latest funding round will support Logz.io’s go-to-market expansion and allow the company to continue aggressively investing in product innovation to serve the needs of its customer base, which has roughly tripled YoY to more than 400, and includes leading enterprises like Oracle, Intel, British Airways and Electronic Arts. The company also plans to double its current footprint in Boston, its US headquarters where 25 of its 100 employees are based, over the next 12 months.
Logz.io is an intelligent log analytics platform that combines advanced machine learning with the powerful open-source ELK (Elasticsearch, Logstash, Kibana) stack. The company enables the midmarket and enterprise alike to leverage ELK in a user-friendly and immensely scalable platform. Logz.io synthesizes machine data, user behavior, and community knowledge into actionable insights that help organizations take their operations to the next level.
Logz.io is committed to creating a log analysis platform that empowers customers to attain the most value from their data. Staying true to this mission, Logz.io has released two new features: Application Insights and Data Optimizer.
Application Insights enables faster incident detection and resolution of critical application issues. It uses machine learning to create and maintain a model of normal operations which it then uses to isolate new exceptions and critical errors which don’t fit the model and highlights these events for further investigation. Application Insights also integrates with CI/CD to put new exceptions and error messages in the context of changes to the environment such as a micro-service deployment.
Data Optimizer empowers enterprises to reduce the cost of data retention by determining which logs have value and how long they should be stored. The Data Optimizer summarizes critical logs and eliminates noisy and unnecessary logs which in turn enables significant efficiencies and reduces data noisiness. This enables long-term trend investigation and comparisons for greater insights into operations and completely changes the business model for companies operating in the log analytics space.
“We believe the rapid growth of our customer base and partner ecosystem is directly attributable to the type of outside-the-box thinking evidenced by our newest capabilities,” said Tomer Levy, CEO and co-founder, Logz.io. “We see a massive opportunity to help businesses of all sizes derive far more value from machine data than is currently possible under existing log analytics business models, and we’re excited and humbled by the opportunity to further invest the additional funds in bringing even more innovative capabilities and flexibility to the market.”
The Latest
In the heat of the holiday online shopping rush, retailers face persistent challenges such as increased web traffic or cyber threats that can lead to high-impact outages. With profit margins under high pressure, retailers are prioritizing strategic investments to help drive business value while improving the customer experience ...
In a fast-paced industry where customer service is a priority, the opportunity to use AI to personalize products and services, revolutionize delivery channels, and effectively manage peaks in demand such as Black Friday and Cyber Monday are vast. By leveraging AI to streamline demand forecasting, optimize inventory, personalize customer interactions, and adjust pricing, retailers can have a better handle on these stress points, and deliver a seamless digital experience ...
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...