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Logging

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

The Leading APM Use Cases

The majority of users continually depend on a variety of web applications to meet their everyday needs, so a business’s success is now often proportionate to the success of its application performance. As a result, the importance of using an appropriate APM solution has become even greater to businesses globally. Application Performance Monitoring (APM) still continues to grow in popularity and is now considered a must for observing the health and performance of your organization's applications.

Parquet File Format: The Complete Guide

How you choose to store and process your system data can have significant implications on the cost and performance of your system. These implications are magnified when your system has data-intensive operations such as machine learning, AI, or microservices. And that’s why it’s crucial to find the right data format. For example, Parquet file format can help you save storage space and costs, without compromising on performance.

Deleting Fields with BindPlane OP

Are you ingesting unnecessary fields? See how to use the "Delete Fields" processor to remove fields from your log stream in BindPlane OP. Then use our live preview capabilities to see the changes prior to rolling out to your agents. 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.

How to deploy Hello World Elastic Observability on Google Cloud Run

Elastic Cloud Observability is the premiere tool to provide visibility into your running web apps. Google Cloud Run is the serverless platform of choice to run your web apps that need to scale up massively and scale down to zero. Elastic Observability combined with Google Cloud Run 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.

Getting started with Grafana Loki (Grafana Office Hours #09)

Senior Principal Solutions Engineer Ward Bekker talks about getting started with Grafana Loki: what Loki is, why you need log aggregation, and how it fits into the rest of the Grafana stack. He is joined by Developer Advocates Paul Balogh and Nicole van der Hoeven to tell you everything you need to know about Loki.

Blackhat 2023 Recap: How Will Advanced AI Impact Cybersecurity?

Ed Bailey and Jackie McGuire from Cribl will recap Black Hat 2023, focusing on emerging trends in cybersecurity, including the rise of advanced AI. We’ll share insights and anecdotes from our time at the event. Tune into the live stream for an engaging discussion, and come prepared with your thoughts and questions about Black Hat and the future of cybersecurity.

Mean Time to Repair (MTTR): Definition, Tips and Challenges

The availability and reliability of any IT service ultimately govern end-user experience and service performance, both of which have significant business impact. These two concepts — availability and reliability — are particularly relevant in the era of cloud computing, where software drives business operations, but that software is often managed and delivered as a service by third-party vendors.

When Two Worlds Collide: AI and Observability Pipelines

In today's data-driven world, ensuring the stability and efficiency of software applications is not just a need but a requirement. Enter observability. But as with any evolving technology, there's always room for growth. That growth, as it stands today, is the convergence of artificial intelligence (AI) with observability pipelines. In this blog, we'll explore the idea behind this merge and its potential.

What is a Real-Time Data Lake?

A data lake is a centralized data repository where structured, semi-structured, and unstructured data from a variety of sources can be stored in their raw format. Data lakes help eliminate data silos by acting as a single landing zone for data from multiple sources. But what’s the difference between a traditional data lake and a real-time data lake?