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Logging

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

Observability and Its Influence on Scrum Metrics

Scrum metrics are an essential indicator of your team’s progress. In an agile team, they help you understand the pace and progress of every sprint, ascertain whether you’re on track for timely delivery or not, and more. Although scrum metrics are essential, they are only one facet of the delivery process — sure, they ensure you’re on track, but how do you ensure that there are no roadblocks during development? That’s precisely where observability helps.

Three Key Considerations for Deploying Best-of-Breed Observability | AWS reInvent 2022, Ed Walsh

Organizations today need a broad set of cloud services to modernize their applications, keep their systems secure, and ultimately deliver for their customers. At the same time, application-generated operational data is complex, constantly growing, and coming from a variety of sources. This complexity requires a robust plan to ensure its availability for observability and analytics at scale. With today's solutions, TCO can vary wildly, which makes it critical to understand how costs are generated and quickly mount, including deploying your infrastructure, managing ongoing operations, managing data retention, scaling the stack, and building growth plans. Watch this lightning talk to learn about the three key considerations for success.

FluentD vs Logstash - Choosing a Log collector for Log Analytics

When we have large-scale, distributed systems, Logging becomes essential for observability, monitoring, and security. No matter what architecture (Monolith/Microservices) our systems have, they are complex due to the number of moving parts they have and the challenges they face around management, deployment, and scaling. In this scenario, Log management tools rescue the DevOps and SRE teams in order to help them monitor and improve performance, debug errors, and visualize events.

Grafana Loki 2.7 release: TSDB index, Promtail enhancements, and more

Grafana Loki 2.7 has arrived! With it comes an experimental feature we are rather excited about: a redesigned index based off of the Prometheus TSDB index. While we are still in the early stages, this enhancement in Grafana Loki, which we previewed at ObservabilityCON 2022, creates a smaller storage footprint, better query performance, and much more that we will dive into below!

Product Spotlight: Logz.io Telemetry Collector for Fast Data Shipping

Today we’re excited to announce Logz.io Telemetry Collector – an agent that can send logs, metrics, and traces to Logz.io in a single installation as part of our Open 360™ platform. With Telemetry Collector, customers can get started monitoring their services with Logz.io faster than ever by simplifying the data collection process.

Too many tools? Best practices for planning and implementing a successful IT tool consolidation strategy

IT tool consolidation is the ongoing and combined effort of all members of an IT organization to ensure that employees (only) use IT hardware, software and services that create and demonstrate explicit value for stakeholders in the business. The best metaphor for tool consolidation is in my kitchen, where common sense principles around value creation provide useful guidelines for any consolidation process.

Alerts in Sematext | Sematext Cloud Guide

Alerts are one of the most necessary features in any monitoring tool. Sematext Cloud comes with a whole host of alerts to keep you informed and updated on your system's performance. Sematext Comes with alert presets for 100+ integrations, so you can spend less time creating alerts and more time on what matters. Send Notifications and Alerts for yourself and the whole team via Slack, OpsGenie, paper duty, and many more. Monitor multiple distributed systems from a single UI.

Search Observability Data In-Place: Store Where You Want, Query When You Want

When we created Cribl Search, we wanted to give systems administrators the ability to query data without having to spend resources on collection and processing first — but we didn’t stop there. With Search, we’re also making it possible to query all the data you’ve already collected, processed, and kept in places like object stores, file systems, analytics tools, S3 buckets, or other data stores.