Operations | Monitoring | ITSM | DevOps | Cloud

Latest Posts

Six Key Observability Principles for Understanding Modern Applications

The rise of modern applications has kicked basic monitoring tools to the curb. With observability, teams can proactively know, in real-time, what’s happening across the entire stack. Observability allows us to take a holistic view of our IT systems and learn about the current state based on the environment and the data it generates. But how do you properly implement observability? Here are 6 guiding principles to make sure your IT and DevOps teams are set up for success.

Putting Customers First and Amplifying Our Core Values

Cribl places high importance on its core values of Customer First, Always; Together; Curious; Irreverent but Serious, and Transparent. We strive to embody these values every day, and a particular customer issue recently enabled us to exemplify them to that customer. Recently, the Cribl Support, Software Engineering, and Product Management teams worked together with our largest Cribl Cloud customer to resolve throughput issues that arose when integrating Cribl.Cloud with Azure Event Hubs (EH).

Top 12 Observability Benefits for Your Company

Observability is a growing practice that provides many benefits to IT and DevOps teams. With greater visibility into their environments, teams can determine the state of the system, predict issues, and mitigate them before end users are impacted. Observability makes data more usable and in turn, businesses reap the benefits of having great insights. Are you on the fence on whether to get started with your own observability practice? Check out these 12 observability benefits and get started today!

Cribl at AWS re:Invent 2022: Spoiler Recap!

What do you get when you throw 50,000 attendees together with Darth Vader and Obi-Wan Kenobi in Las Vegas? Lightsaber battles and demos from Cribl Jedis fighting for the liberation of customer data from vendor lock-in, of course! AWS re:Invent 2022 was a total hit this year and we had such a great time showcasing to AWS customers how easy it is to realize the full potential of the cloud by unlocking data first. The week was full of exciting new launches, talks, happy hours, and more!

How to Augment an Existing Data Lake with Exabeam and Cribl Stream

Organizations have different data lakes they use to search, whether it is Splunk, Qradar, or Sumo Logic just to name a few. Exabeam (UEBA Advanced Analytics) sits on top of those existing data lakes and pulls specific sources by running continuous queries every few minutes into Exabeam. The image below shows a Splunk query to pull windows event logs into Exabeam Advanced Analytics over the port (8089). The query is complex.

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.

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.

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).

Cribl Supports Multiple AWS Account Monitoring and Analytics with New Account Factory Customization

Keeping with our mission of helping customers gain radical levels of choice and control with their observability data, we’re excited to announce full support for the Amazon Web Services (AWS) Account Factory Customization solution within AWS Control Tower console. Customers can now use AWS Control Tower to define account blueprints that scale their multi-account provisioning in a streamlined manner.