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Tomer Levy, Co-founder & CEOLogz.io—a Software as a Service (SaaS) platform—simplifies the process of data analysis by accumulating and creating a unified view of data for the client. “Logz.io has the ability to analyze gathered log information and search patterns adopted by engineers while exploring critical incidences,” says Levy. “Small and medium businesses have a billion events every day, and the engineers have to check millions of events to zero-in on critical events.” The extensive database of Logz.io plays a crucial role in machine learning and expediting the process of event search. The platform garners rich insights about the events from various sources and labels the incidences to alert the clients. “We have a powerful learning system that becomes smarter along with the rapid growth of users in the system,” states Levy. “And it helps the clients and engineers with troubleshooting the problem.”
“We leverage open source technologies and the latest technological trends to empower our solutions,” says Levy. The company harnesses and enables technological trends such as microservices, Docker containers, and Lambda.
Logz.io has the ability to analyze gathered log information and search patterns adopted by engineers while exploring critical incidences
“The use of microservices and containers amplifies the need to constantly gather event data and provide insights to this data,” states Levy. The company helps clients to use Lambda to troubleshoot machine data from server-less code execution and allows them to monitor the systems.
“We provide additional capabilities around ELK as an enterprise-grade solution,” states Levy. Logz.io provides a solution enterprises can rely on to run their business with additional features which are not included in the open source version. “Users can monitor, troubleshoot, and gain visibility into complex and scalable web applications. Within the content library, they have pre-configured dashboards that ensure visibility,” says Levy. “Logz.io not only bestows the customers with visibility into their environments but also empowers them to tackle challenges related to security, compliance, and privacy,” says Levy. The company is aware of subtler transformations pertinent to security architecture and application stacks when clients migrate applications to the cloud. The SOC2 compliant solution endows users with robust security integration stack such as single sign-in, multi-factor authentication, and role-based access. Logz.io helps clients with an AI engine that finds critical events.
“We see more organizations requiring an enterprise-grade log analytics solution that is based on open source, so we aim to make Logz.io an industry standard,” states Levy. “At the end of the day, we have to add business value through our analytical prowess,” concludes Levy.
Logz.io Leverages AI to Identify Anomalies in Real-Time
Monday, April 01, 2024
Logz.io this week revealed it has added a real-time anomaly detection capability to its observability platform that makes it simpler to correlate the impact IT events will have on business processes.
This capability is based on artificial intelligence (AI) models trained using historical data collected via the Logz.io Open 360 platform.
Logz.io CTO Asaf Yigal said this addition to the Open 360 platform enables DevOps teams to employ machine learning algorithms to identify anomalies in mission-critical processes that warrant further investigation. Armed with insights that go beyond simple IT infrastructure consumption metrics, it becomes possible to significantly reduce mean time to resolution, he added.
Logz.io has been embedding AI models within its platform since last year. Still, this latest capability will enable organizations to further bridge a divide between IT and the business that has long plagued many organizations, noted Yigal.
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The ultimate goal is to make it simpler for DevOps teams to instantly identify any anomalous application behavior that represents a risk to the business, including cybersecurity events, he added.
The AI capabilities that Logz.io has been steadily adding to its observability platforms are largely transparent to DevOps teams, said Yigal. Instead, Logz.io is embedding multiple types of AI models into its platform that can be invoked in much the same way any other capability is provided, he added. DevOps teams are not necessarily going to need to build their own models to take advantage of AI to observe application behavior at scale, noted Yigal.
The goal is to surface those capabilities consistently at a level of cost organizations can afford, added Yigal.
It’s not likely AI will replace the need for DevOps teams any time soon, said Yigal. After all, there is a reason AI models are referred to as co-pilots versus an automatic pilot, he noted.
It’s not clear to what degree organizations today can correlate the impact an IT event is going to have on the business. But as organizations continue to realize how dependent they are on applications to drive digital processes, the need to bridge the historic divide between IT and the rest of the business has become more urgent. In fact, many of the product and brand champions that organizations now rely on to manage a business unit often have a background in DevOps.
Of course, business professionals that are steeped in IT are still relatively rare but as advances in AI continue to make it simpler to understand how complex application environments function the number of users of an observability platform will naturally expand beyond IT. The challenge is presenting each stakeholder with a view into the IT environment that meets their specific requirements.
It may take a yet before the divide between IT and the rest of the business is permanently bridged but with each passing year it gets narrower. The challenge and the opportunity now is making sure everyone on both sides of that divide understands the art of the possible today that only a few short years ago would have seemed impossible to achieve.
Company
Logz.io
Management
Tomer Levy, Co-founder & CEO
Description
Provides enterprise-grade ELK as a service with alerts, unlimited scalability, and predictive fault detection through data analytics
