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Logging

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

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.

When Stream Meets Lake: Cribl Integrates With New Amazon Security Lake to Help Customers Address Data Interoperability

We’re excited to announce that Cribl integrates with Amazon Security Lake. Amazon Security Lake allows customers to build a security data lake from integrated cloud and on-premises data sources as well as from their private applications using the Open Cybersecurity Schema Framework (OSCF).

New AWS services? No problem! How Sumo Logic is evolving to meet your AWS observability needs

Every year, AWS re:Invent demonstrates the pivotal role that AWS plays as companies build their modern applications. Investing in a growing portfolio of AWS services can be key to a business’s ability to compete. But this often means additional complexity: more services, across more regions and accounts. Organizations need a way to ensure their applications running on AWS services are reliable and secure. Enter Sumo Logic.

A Complete Guide to PostgreSQL Performance Tuning: Key Optimization Tips DBAs Should Know

PostgreSQL is an open-source relational database that is highly flexible and reliable and offers a varied set of features. Even though it is a complex database, it provides great integrity and performance. Also, you can deploy it on multiple platforms, including a light version for websites and smartphones. Because you can deploy Postgres in different ways, it comes out of the box with only some basic performance tuning based on the environment you’re deploying on.

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.

Announcing Logz.io Open 360: One Platform for Open Source Observability

Today, I’m thrilled to announce the introduction of Logz.io Open 360™. This is a major step in our journey. Open 360 is a unified platform for modern engineering teams requiring end-to-end observability across logs, metrics and traces—delivered in an intuitive user interface. Open 360™ is specifically designed to enable engineers to have deep monitoring and insights into distributed systems.

Getting started with unified observability for AWS in less than 10 minutes using terraform

This video provides a step by step guide on how to observe AWS environments. This will only take about 10 min of working time for you to get a fully configured Elastic Cluster that is actively collecting the data of your AWS environment.

Track and triage errors in your logs with Datadog Error Tracking

Reducing noise in your error logs is critical for quickly identifying bugs in your code and determining which to prioritize for remediation. To help you spot and investigate the issues causing error logs in your environments, we’re pleased to announce that Datadog Error Tracking is now available for Log Management in open beta.