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

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.

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!

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.

Logz.io's New Features: Easier, Faster, and More Cost-Efficient Observability

Our product strategy this year was relatively simple. Many observability practitioners we spoke with complained that observability was oftentimes slow, heavy, complex, and costly – which can be summed up in our CEO’s recent blog on modern observability challenges. While our customers didn’t report similar challenges, we wanted to further distance ourselves from this typical observability experience.

Cribl Search: The Most Powerful Tool for Querying Data at Its Source

One of the most useful features of Cribl’s flagship solution Stream is its ability to separate the wheat from the chaff in your data’s journey from source to destination — Stream allows you to control what data goes to what system, Cribl Search, takes this to the next level by controlling what data should be collected before it is ever put in motion.

Oh....The Things You Can Test with Built-in Data Generators in Cribl Stream

Picture this! The coffee is hot, the keyboard is ready to rock, the bandwidth is unused, and the software is deployed (or the cloud is waiting patiently)…. but the data is missing! That’s right, most of us have been there. In our industry, it is very common for data to be the lowest common denominator for many projects.