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Tomer Levy, CEO of Logz.io: ‘We help Unlocking Observability with the Power of Open Source’

Tomer Levy, CEO of Logz.io: ‘We help Unlocking Observability with the Power of Open Source’

Many people in IT operations wonder how cloud observability differs from the monitoring tools and approaches enterprises already have in place. Some speculate that observability is just another attempt to stir industry interest with yet another buzzword. Cloud observability, is essentially an attribute of a well-run system. It's about determining the health of an application by interpreting and assessing the state, or status, of a workload based on its externally visible properties. In the context of the cloud, a system is observable if its operating state can be deduced from what can be measured. Without observability, you can't fully support lifecycle management. It provides visibility and machine learning-driven actionable insights to ease management across all layers of the stack deployed on any technology, anywhere. A top priority today is increasing automation to drive scale and predictable results.

Logz.io is one such cloud observability platform for modern engineering teams. The Logz.io platform consists of four products—Log Management, Infrastructure Monitoring, Distributed Tracing, and Cloud SIEM — that work together to unify the jobs of monitoring, troubleshooting, and security. It empowers engineers to deliver better software by offering the world's most popular open-source observability tools in a single, easy to use, and powerful tool purpose-built for monitoring distributed cloud environments. With Logz.io you can have the best-of-breed open source monitoring tools on a fully managed cloud service. One unified SaaS platform to collect and analyze logs, metrics, and traces, plus human-powered AI/ML features to improve troubleshooting, reduce response time and help you manage costs.

Driving Factors that Makes Logz.io Unique

Use the open source tools you love: Monitor your cloud deployment using the world’s most popular open source monitoring software - the ELK Stack and Prometheus without the headache of deploying and maintaining these systems. Scalability, availability and security assured.

Get started in minutes: Logz.io was designed for the cloud, offering seamless integration with public cloud providers such as AWS, Azure and GCP. Hit the ground running using pre-made dashboards for various data types. Use one centralized tool for analyzing both your logs and your metrics.

Scale to infinity: Data spikes and ever expanding workloads are part and parcel of cloud-based environments. Logz.io provides automatic scalability so you can build your applications and services without worrying about scaling the underlying storage backend.

Identify threats faster: Logz.io provides a unified solution, allowing you to use the same tool and dataset for both monitoring and troubleshooting your cloud deployment, and securing it. Logz.io provides threat detection, correlation rules, security dashboards and compliance reports to help you comply with a variety of regulatory standards.

Top-Grade Cloud Monitoring and Observability Platform Offered

Log Management: It is the best open source for log management, the ELK Stack, delivered as a fully managed cloud service. Minimal set up, no maintenance, any scale. The high-powered Kibana helps engineers quickly find the information they need. Users leverage the most familiar log searching syntaxes like Lucene and KQL, rich visualization capabilities offered by Kibana, and premade dashboards built to monitor popular cloud technologies. Log Patterns clusters similar logs together so you can quickly understand the log data generated by your environment. Hitting ‘Patterns’ turns millions of records into tens and can easily filter log patterns in or out of your search query. Insights uses ML to identify logs that indicate oncoming production issues which can automatically cross reference incoming logs with forums like StackOverflow and GitHub to identify critical logs and correlate application exceptions with recent deployments. Users can immediately identify high-priority production incidents on your favorite notification system and build advanced alerts based on multiple queries and trigger conditions to determine frequency to combat alert fatigue and stay notified via Slack, Opsgenie, PagerDuty, email, and other channels.

Cloud SIEM: Powerful threat detection and investigation on the open source you know: the ELK Stack. It is delivered as an easy-to-use cloud service at a fraction of the cost of other SIEMs. Leverage security rules and dashboards dedicated to identifying threats based on log data generated by getting AWS services like CloudTrail, CloudFront, and EC2, Azure services like Microsoft Active Directory and Microsoft Defender, and other security tools like HashiCorp Vault, Okta, and Palo Alto Networks. Cross reference incoming logs with a variety of threat feeds to find malicious IP addresses. Users can start with a high-level overview of users from malicious IPs and investigate user activity, geography, and other data associated with each IP address; they can also separate IPs by attacker and log type to identify concentrations of suspicious activity. One can start with a bird’s eye view of your system and quickly drill down into granular user data. You can even break down and explore attacks by broad categories like country or severity for high-level information, attack type and log type to understand the nature of most common threats, and specific user data to investigate those threats. Stay ahead and notified of high-priority attacks on your favorite notification system. Consolidate security alerting across your cloud environment in one centralized platform by using multiple trigger conditions to configure advanced alerts and stay notified via slack, PagerDuty, email, and other channels.

Infrastructure Monitoring: Monitor with open source Prometheus - the best cloud-native tools for metrics storage and analytics. It is provided on an easy-to-use cloud service, integrated with logs and traces. Add just three lines of code to your Prometheus configuration files to begin forwarding your metrics to Logz.io. From there, they will be stored in Logz.io’s managed service for 18th months, out-of-the-box. You can easily configure alerts to monitor data visualizations as alerts are automatically triggered once specific data crosses thresholds for a defined period of time. Drag and drop thresholds to configure alerts and send alerting notifications to Slack, PagerDuty, OpsGenie, ServiceNow, Jira, and many more endpoints. Give your dashboards context by adding Deployment Markers to indicate recent deployments. Deployment Markers are added automatically every time code is pushed, and one can understand how specific deployments and configuration changes affect pods.

Distributed Tracing: It is based on Jaeger, the popular open source for distributed tracing chosen for CNCF and provided as an easy-to-use, fully managed solution, integrated with log and metrics analytics. Send your traces with common tracing standards such as Jaeger, Zipkin, OpenTracing, and OpenTelemetry Leverage the rich ecosystem of instrumented frameworks, databases and programming languages supported by the standards. Immediately identify high-priority production incidents on your favorite notification system by getting alert on sudden slow-down in service execution, alert on endpoints with high invocation rate and you can stay notified via Slack, PagerDuty, email, and other channels. One can send trace data with OpenTelemetry standard backed by a rich ecosystem of instrumented frameworks annnd can use a built-in powerful alerting engine to get notified on critical events via email, Slack, or PagerDuty.

Meet the Valiant Leader

Tomer Levy is theCo-Founder, Board Member, and Chief Executive Officer of Logz.io. Before founding Logz.io, Tomer co-founded and was the CTO of Intigua, a company that developed innovative, Docker-like containers designed for large enterprises. Prior to Intigua, Tomer spent six years at CheckPoint, where he led its Intrusion Prevention System (IPS) product from concept to market, generating $100M in revenue in the second year. Tomer has an M.B.A. from Tel Aviv University and a B.A. in computer science and is an enthusiastic kite surfer

“We know how time consuming it can be to monitor your complex cloud-native environment. As your environment grows, your data explodes, and you need a more scalable monitoring system. That’s why we built our easy-to-use, open source-based Observability platform to help.”


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