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Logging

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

The Top 10 OpenSearch Plugins

OpenSearch is a powerful, open-source analytics and search engine that can be utilized to construct custom search solutions for a broad variety of applications, from websites to enterprise-level systems. It enables flexible search and indexing abilities, making it suitable for a range of uses, a great example of this is scalability. OpenSearch is designed for horizontal scalability, enabling organizations to input additional nodes to their cluster as data volumes and query loads increase.

Triangulate: Add Logs to Your Monitoring Mix

For many IT organizations, triaging or troubleshooting starts with assessing symptoms. As practitioners investigate the causal factors by answering each of the “5 whys,” logs are often where the actual root cause answers lie. This is even more true for issues related to configuration changes, change management, and security. However, diving into log data can be overwhelming as a first step due to the high volume and velocity of logs and missing context.

How to deploy a Hello World web app with Elastic Observability on AWS App Runner

Elastic Observability is the premiere tool to provide visibility into web apps running in your environment. AWS App Runner is the serverless platform of choice to run your web apps that need to scale up and down massively to meet demand or minimize costs. Elastic Observability combined with AWS App Runner is the perfect solution for developers to deploy web apps that are auto-scaled with fully observable operations, in a way that’s straightforward to implement and manage.

When and How to Use Aggregators

There's lots of great reasons to run OTel agents as aggregator / gateway collectors. In this video we discuss 4 of the most common! About ObservIQ: observIQ brings clarity and control to our customer's existing observability chaos. How? Through an observability pipeline: a fast, powerful and intuitive orchestration engine built for the modern observability team. Our product is designed to help teams significantly reduce cost, simplify collection, and standardize their observability data.
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3 Ways FinTechs Can Improve Cloud Observability at Scale

Financial technology (FinTech) companies today are shaping how consumers will save, spend, invest, and borrow in the economy of the future. But with that innovation comes a critical need for scalable cloud observability solutions that can support FinTech application performance, security, and compliance objectives through periods of exponential customer growth. In this blog, we explore why cloud observability is becoming increasingly vital for FinTech companies and three ways that FinTechs can improve cloud observability at scale.

How to Reduce Continuous Monitoring Costs

Continuous monitoring is a crucial practice in the fields of DevOps, cybersecurity, and compliance. It involves the proactive and ongoing process of observing, assessing, and collecting data from various systems, applications, and infrastructure components in real-time or near real-time. Continuous monitoring is closely related to observability, which goes beyond simple monitoring to provide a deep understanding of complex and dynamic systems.

Observability Pillars: Exploring Logs, Metrics and Traces

The ability to measure the internal states of a system by examining its outputs is called Observability. A system becomes 'observable' when it is possible to estimate the current state using only information from outputs, namely sensor data. You can use the data from Observability to identify and troubleshoot problems, optimize performance, and improve security. In the next few sections, we'll take a closer look at the three pillars of Observability: Metrics, Logs, and Traces.

Customize your data ingestion with Elastic input packages

Elastic® has enabled the collection, transformation, and analysis of data flowing between the external data sources and Elastic Observability Solution through integrations. Integration packages achieve this by encapsulating several components, including agent configuration, inputs for data collection, and assets like ingest pipelines, data streams, index templates, and visualizations. The breadth of these assets supported in the Elastic Stack increases day by day.