Cribl Edge is the easiest and most manageable agent for exploring, processing, and collecting Observability data at the edge for Linux servers. Today, we’re excited to announce that it’s not just Linux admins whose lives have been made easier with Edge. With the Cribl Software Suite 3.5.0, Cribl Edge now supports Windows Server 2016, 2019, and 2022, bringing that same intuitive experience for deploying, setting up, and collecting observability events to your Windows infrastructure.

We’ve been busy building more features for Cribl Stream, and are excited to share the new value we offer our users. Cribl Stream 3.5 is now available! This release brings some much-requested features that will help users build more robust observability pipelines, with new sources and destinations. Let’s dive into what’s new!

Cribl.Cloud’s Summer 2022 release is now available in an AWS cloud near you! As part of this release, we are excited to share the features we have been building, including the latest Cribl product releases (Stream 3.5 and Edge 3.5). This release brings some much-requested features that will help customers increase their compliance, reduce overall costs, and deploy a more resilient observability data pipeline.

What is an observability engineer? They build monitoring tools, right? Develop data pipelines? For time series data? Maybe distributed tracing? Ah, got it…an observability engineer is just an extension of an SRE with a wider ‘end-user’s’ perspective? But don’t they also build solutions that move telemetry for security tools? Maybe monitor and review an organization’s overall security posture?

What a kickoff to the summer! That’s right, in the past two weeks, we got to welcome a lot of our ecosystem back with hugs, high fives, fist bumps, and air fives! It has been a great way to get welcomed into my new work family.

It’s common for most CISOs to lead off a security conversation by comparing what other companies in the industry are spending on cybersecurity and simply matching that. After all, regardless of the results, the CISO can always tell the board of directors they’re following industry guidelines around security budgets. The problem is security outcomes are bad regardless of budgets. It’s not what you spend. It’s the results you get that matter.

Many years ago, I attained my private pilot’s license. This entailed completing a very structured program, similar to how most companies introduce a product to a new user. Let’s be honest, there is a really good reason for this – to avoid the crash and burn. With flight training, it’s literal, while with products it’s a bit more figurative (except when you YOLO something into production–that can cause a crash and burn–and leave for a bad first impression).

Cribl Packs are, in my opinion, our most exciting feature. Packs encapsulate the deep log processing capabilities and enable sharing of the best practices with customers, Worker Groups/Fleets, and the Community. Ease of sharing enables consistent configurations across distributed deployments of Cribl Stream or Cribl Edge. All users can leverage Packs–and should! If you collect Microsoft Windows Logs, use Palo Alto Networks or share logs via Syslog, Packs are for you.

Every enterprise collects and stores massive amounts of security and observability data but struggles to get value outside of operations and security teams. These datasets can offer enormous value to business operations and enterprise reporting teams if they have access to the data in their toolsets. BizOps needs to optimize batch planning and the enterprise reporting teams need to reconcile how many assets the enterprise owns versus the number it has under support contracts.

Back in late May, we hosted a webinar on the heels of our Series D funding announcement where we also took the wraps off our big product announcement: Cribl Search.

Software exists to make your job easier, not to suck the joy out of your work. It should be there when and if you need it, but be completely out of the way when you don’t — you’re at work to get a job done, not to use any particular product. If you’re forced into using the same underperforming, over-customized, difficult to implement, or just generally terrible software each and every day, it can really put a damper on the quality of your work and quality of life.

If there was a question on if an enterprise needed an observability pipeline in 2019 or 2020, we now know the answer is: yes. The observability data management methods of the 2010s aren’t going to work in the 2020s. Data is growing too fast for us to ignore, and the need to gain intelligence from said data continues to grow in importance. Data (and access to it) is becoming a competitive edge for many enterprises today.

An old colleague of mine once said to me, “It doesn’t matter how inefficiently something DOESN’T work.” This was a joke used to make a point, so it stuck with me. It also made me consider that it does matter how efficiently something DOES work. Sometimes, when we have tools like Cribl Stream making things like routing, reducing, and transforming data so easy, we can forget that there might be a more efficient way to do it.

Git integration has always been at the foundation of Stream. In the fall 2021 release of Cribl Stream (both on-prem software and Cloud), our Enterprise users have a received set of APIs to separate the development and deployment of Stream. Stream GitOps connects with your favorite git based versioning platforms and leverages their PR, approve/reject, and CI/CD workflows to push production-ready changes from a development branch into a main branch or release.

It’s been an exciting few days at Cribl. A week ago, we announced our $150 Million Series D funding round led by Tiger Global, with participation from existing investors IVP, CRV, Redpoint Ventures, Sequoia Capital, and Greylock! We also announced an exciting new product: Cribl Search! We’ve been blown away by the excitement from our customers thus far.

Many cybersecurity teams are drinking from multiple firehoses without solutions in place to deal with the onslaught of data. And with 70 percent of companies experiencing over one hundred attacks each day, it’s not slowing down. Teams are overwhelmed with data from multiple sources and formats with continuous requests to pull in more and more.