Cognitive insights | Logz.io
Cognitive Insights combines machine learning and crowdsourcing to automatically uncover critical issues in your log data together with actionable information to help you troubleshoot them faster.
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
Introduction to Kibana Best Practices for Log Search and Visualizations
Kibana is a powerful and flexible tool to search and visualize your logs in Elasticsearch – but only if you know how to use it! Zach Hamilton, a Sales Engineer at Logz.io, has enabled hundreds to be successful with Kibana and will provide his insights for best practices in this webinar. Understanding Kibana’s strengths and quirks can help you more efficiently explore your log data so you can quickly understand what’s happening in your environment.
How to Control Logging Costs with Logz.io
You don’t have to choose between cost management and full observability. With Logz.io features Log Patterns, Drop Filters, and Archive & Restore add to cost efficiency. These features are designed to easily identify and filter out that data before indexing it, and then reingest that data if necessary later.
Automating Security on Your Observability Platform: Cortex XSOAR & Logz.io
Managing a complex microservice-based architecture requires defending multiple endpoints. Automating security covers a vast amount of tools and methodologies, so making sure they all communicate is critical. Additionally, tool sprawl in any aspect of DevOps requires putting automation to good use. The Logz.io Cloud SIEM focuses on identifying threats. To optimize its effectiveness, we have negotiated and built out multiple integrations tying complementary tools together.
The Evolution of Open Source Observability
On May 27, the first OpenObservability Conference was held to bring together leaders, practitioners, and users of leading open source observability tools for sessions on the experiences, strategies, and future of the industry. For the Logz.io team, as long-time proponents of open source, it was rewarding to see everyone come together to explore the challenges and opportunities of open source observability.
Designing an Opensource Observability Stack for Distributed Environments - Tech Strong Conf.
Observability teams today are facing increasing challenges in achieving visibility into the systems they monitor. Kubernetes adds significant complexity to achieving this goal. Open source provides powerful options and comes with serious advantages in cost, agility, and speed. Join Logz.io co-founder Asaf Yigal to learn how you can gain observability into Kubernetes projects with open source tools.
Peaking into your container and infrastructure
Containers get shipped by the thousand, but how do you keep track of the health and status of all those individual compute units? You can do it following the principles behind observability, you can see what’s happening with the infrastructure and the applications using open source tools. In this talk, we’ll describe how easy it is to implement the OSS tools required to get full observability and how that’ll improve your operations and your development cycles.
Deploying a Containerized App in Google GKE
Because of its popularity and widespread adoption, Kubernetes has become the industry’s de facto for deploying a containerized app. Google Kubernetes Engine (GKE) is Google Cloud Products’ (GCP) managed Kubernetes service. It provides out-of-the-box features such as auto-scaling nodes, high-availability clusters, and automatic upgrades of masters and nodes. In addition, it offers the most convenient cluster setup workflow and the best overall developer experience.
