In this livestream, I talked to security expert Matt Johansen, a computer security veteran who has helped defend everyone from startups to the largest financial companies in the world. We talked about the current state of cybersecurity, why attacks are on the rise, and what can be done to prevent threats in the future. Matt’s blog covers the latest news in cybersecurity and also touches on mental health and personal growth for tech professionals.

Without collaborations between organizations, the tech industry wouldn’t be where it is today. Customer expectations and needs don’t exist in a silo. They need their tools to work together to solve problems and deliver value regardless of the vendor. With data growth at a 28% CAGR and cybersecurity threats on the rise, customers need their entire suite of tools working for them in a cohesive manner.

What do you need to achieve observability? Who you ask and the role they hold will influence the answer, but the answer likely follows this pattern: “You only need is how you define observability.” I cannot disagree with this logic. A specific use case may only need a specific type of telemetry. Experience and expertise allow engineers to quickly answer questions about a system without expanding into adjacent data types.

Mainframes might seem like relics of a bygone era to many of us in 2024, but the truth, however, is far from that. Despite their reputation as ancient behemoths—and frequent targets of jokes—mainframes continue to be vital powerhouses driving the global economy. Their capability to process billions of transactions daily, including the majority of credit card transactions, underscores their enduring significance.

There is an immense amount of IT and security data out there and there’s no sign of slowing down. Our customers have told us they feel like they’re drowning in data. They know some data have value, some don’t. Some might have value in the future. They need some place cost-effective to store it all. Some for just a short while, some for the long haul. But they’re not data engineers. They don’t have the expertise to set up and maintain a traditional data lake.

In a recent live stream, Jackie McGuire and I looked into a crucial topic that many IT and security teams face: delivering value in your organization without budget increases. In this age where technology underpins every facet of business, how can teams maximize their impact with finite resources?

In this livestream, I had a great discussion with Paul Stout and Scott Gray from nth degree about how the service model has evolved from a focus on time and materials to outcome-based services. Watch the full conversation here and leave with a roadmap for improving your next service engagement. Security teams often have a love-hate relationship with onboarding new tools.

New in Cribl 4.5, the Model Driven Telemetry Source enables you to collect, transform, and route Model Driven Telemetry (MDT) data. In this blog, you’ll learn how to explore the YANG Suite to understand the wide variety of datasets available to transmit as well as how to configure the tools to get data flowing from Cisco IOS XE network devices to Cribl Stream.

On October 1, 2022, the UK Telecommunications Security Act (TSA) went into effect, imposing new security requirements for public telecom companies. The purpose of the act is noble, as it wants to ensure the reliability and resilience of the UK telecommunications network that underpins virtually every aspect of the economy and modern society.

Cribl Search helps find and access data regardless of the format it’s in or where it lives. Search provides a federated solution that reaches into existing object stores and explores data without moving it or having to index it first. This same interface can also connect to APIs, databases, or existing tooling, and can even join results from all these disparate datasets and display them in comprehensive dashboards.

In today’s data-driven landscape, every organization knows the immense value their data holds, but with the explosion of data from diverse sources, traditional data storage and management solutions are proving inadequate. Organizations are urgently seeking new ways to handle their data effectively.

At Cribl, we’ve always prided ourselves on solving complex data challenges for our customers, but doing so with a bold spirit and a can-do attitude. Our journey with Ian the Goat as our mascot has been nothing short of incredible. Ian represented our agile and adaptable approach to solving complex data challenges. However, as we pivot towards tackling even bigger data puzzles for our customers, we believe it’s time for our mascot to reflect this evolution.