Operations | Monitoring | ITSM | DevOps | Cloud

Logging

The latest News and Information on Log Management, Log Analytics and related technologies.

Cloud Native Application Observability - Trace-Logs Correlation

There is a brand new feature for Cloud Native Application Observability (formerly known as AppDynamics Cloud) that will reduce the effort it takes to resolve performance issues within business transactions. We are improving modern application troubleshooting by aligning traces that are performing sub-optimally with their associated logs so one can effortlessly discover the root cause. Watch how we quickly identify poor-performing business transactions, their associated traces, and spans, to the relevant logs pertinent to fixing performance issues, never having to switch tools or the context.

Business Observability: Everything Fintech Companies Want to Know

Fintech companies operate in a complex technological and regulatory environment. They rely heavily on cloud-native technologies and microservices architectures to handle financial transactions and data, often at a massive scale. To maximize application reliability, fintech companies need full visibility into their software systems and applications. An agile monitoring solution like observability is crucial to improving performance and user experience.

The 2023 Observability Market Map - Key Trends, Players, and Directions

Cribl has a unique position right in the middle of the observability market, giving us a distinct view of all things security, APM, and log analysis. Observability as a concept has exploded into specialized areas over the past two years, and making sense of the players and market forces, particularly in a difficult macro environment, can be tricky. Let’s break it down.

Stile Education's Best-of-Breed Observability Strategy

"One of the best things we’ve gotten out of ChaosSearch is the ability to keep all of our data in S3. It’s cheap and easy to keep all of our data available and indexed. We can search through it at any time to dig deeper into problems that crop up." Learn more about how the Stile's team can now retain log data indefinitely, versus saving only a week or two of data in Elasticsearch. That change has increased the team’s capacity to use log data to solve business problems, and unlocked new opportunities to discover deeper product insights.

Getting Your Logs In Order: A Guide to Normalizing with Graylog

If you work with large amounts of log data, you know how challenging it can be to analyze that data and extract meaningful insights. One way to make log analysis easier is to normalize your log messages. In this post, we’ll explain why log message normalization is important and how to do it in Graylog.

Short Descriptions in BindPlane OP

An easy way to write a short description to distinguish between different file types, fields, etc. About ObservIQ: observIQ is developing the unified telemetry platform: a fast, powerful and intuitive next-generation platform built for the modern observability team. Rooted in OpenTelemetry, our platform is designed to help teams reduce, simplify, and standardize their observability data.

Top 10 Log Management Tools in 2023

Log Management tools are crucial for the security and performance of your IT infrastructure. With the right log management system, you can quickly detect and respond to any anomaly or performance issue. Presently, there are numerous log management platforms. Each with its own unique set of features and benefits. While most of these platforms offer industry-standard capabilities, what sets them apart from each other are the stand-out features, pricing, and overall user experience.

Data Lake Architecture & The Future of Log Analytics

Organizations are leveraging log analytics in the cloud for a variety of use cases, including application performance monitoring, troubleshooting cloud services, user behavior analysis, security operations and threat hunting, forensic network investigation, and supporting regulatory compliance initiatives. But with enterprise data growing at astronomical rates, organizations are finding it increasingly costly, complex, and time-consuming to capture, securely store, and efficiently analyze their log data.