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.

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 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.

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.

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.

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).

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.

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.

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.

Ubuntu provides extensive logging capabilities, so most of the activities happening in the system are tracked via logs. Ubuntu logs are valuable sources of information about the state of your Ubuntu operating system and the applications deployed on it. The majority of the logs are in plain text ASCII format and easily readable. This makes them a great tool to use for troubleshooting and identifying the root causes associated with system failures or application errors.