Operations | Monitoring | ITSM | DevOps | Cloud

Every business transformation needs a data strategy and the ability to manage increasingly complex environments. And while companies all over the globe are embracing the cloud, this shift has only exacerbated the associated complexity, compounded by the uncertainty brought about by the current global pandemic. You’ve got more data centers and attack surfaces to monitor and secure, in addition to greater unpredictability and risk.

Logs provide valuable information for troubleshooting application performance issues. But as your application scales and generates more logs, sifting through them becomes more difficult. Your logs may not provide enough context or human-readable data for understanding and resolving an issue, or you may need more information to help you interpret the IDs or error codes that application services log by default.

Surveys show that developers spend roughly 25% of their time troubleshooting issues, amounting to over one working day per week! Let’s examine the solutions that will guide your developers to the log insights they need to efficiently troubleshoot issues.

Your log analysis solution works through millions of lines of logs, which makes implementing a machine learning solution essential. Organizations are turning to machine learning log alerts as a replacement or enhancement of their traditional threshold alerts. As service uptime becomes a key differentiator, threshold alerts are only as good as your ability to foresee an issue.

Trend Micro Cloud One is a strong enterprise data security solution for data centers and cloud environments. Trend Micro’s advantages, like most other security tools, lie in its pairing with other security resources. That’s where Logz.io comes in. It brings together disparate data that Trend Micro tracks to create fully summarized dashboards and extremely detailed ones with specific focuses.

This post will help you write effective Snort Rules to materially improve your security posture. We’ll begin with a breakdown of how a Rule is constructed and then explore best practices with examples in order to capture as many malicious activities as possible while using as few rules as possible. Snort is an open-source network intrusion detection system (NIDS) that provides real-time packet analysis and is part of the Coralogix STA solution.

Security log management is the process of collecting, storing, and correlating the network data that details all activity in your systems and networks. Every action in an organization’s network generates event data, including records produced by operating systems, applications, devices, and users. The Center for Internet Security (CIS) identifies log management as a basic control for detecting malicious actors and software hiding in networks and on machines.

Previous articles in our series have introduced the Splunk App for Infrastructure (SAI) and provided getting-started guidance for Linux and Windows using native metric-collection tools such as collectd and perfmon. But did you know you can also use your existing Splunk Universal Forwarders (UF’s), together with the Splunk Add-on for Unix and Linux (TA-Nix) to send both the metrics and logs without the need of additional agents?

As the leading log management and analytics platform, we’re proud to announce that we’ve been recognized in the Gartner “2020 Cool Vendors in Performance Analysis” report by Padraig Byrne. Gartner, Inc. is the world’s leading information technology research and advisory company. They offer world-class, objective insights on a wide variety of IT solutions.

While Spring Boot provides everything developers need build applications, it leaves operational aspects of debugging issues to the developers and third-party services. If up until now all you had was log aggregation, where you can browse and filter through a web UI, prepare to have your mind blown with Sentry’s automatic error grouping, alerting, breadcrumbs, and much more. Sentry has recently launched a major update to the Java SDK. In the post, we’ll focus on Spring Boot and Logback.