In today’s economic climate, IT and security budget owners are always looking for ways to increase efficiency while controlling costs. With tighter budgets and increasing workloads, organizations have to find ways of stretching their limited resources while making sure investments are paying off.
Enterprises are entering 2023 following an increase in large-scale cybersecurity attacks over the last several years — Colonial Pipeline, Solarwinds, and even Twitter have all been victims — but events like these are not just increasing in number and sophistication. The amount of money involved is enough to make your head spin.
You don’t often see real change, but when you do see it you know it. Artificial Intelligence/Machine Learning toolsets like ChatGPT are finally starting to offer broad capabilities that will benefit a mass audience. These tools are moving out of the domain of data scientists and math nerds and into mass markets with a little bit for everyone. The potential reach is awesome and a little scary.
The supercloud concept promises fewer accidental architectures and more cohesive cloud deployments with better manageability. Delivering on this vision requires a mix of vendor-agnostic tooling for performance monitoring and securing data.
Recently, a customer brought me a challenging use case: They were looking to enforce quotas on their internal customers, i.e. other teams in the organization. The analytics team provides services such as searching and reporting capabilities to those other teams, which subscribe to the services through a chargeback model. Each team that subscribes is supposed to limit its ingestion of data to a quota: a maximum permitted ingest per 24-hour period.
IT tools are similar to romantic relationships. Over time, you tend to fall into the same old dull routines, like Rupert Holme’s song Escape (The Piña Colada Song). That routine — collect dataset, route, ingest ($$) and then search, collect dataset, route, ingest, then search, … this approach is not only breaking your heart but your budget too.
The Cribl Partner Program is designed to be a comprehensive solution for organizations looking to grow their customer relationships and revenue streams, while also enabling a fast deployment of observability solutions to serve customers. Our partners receive extensive training, tools, and support to unlock the full potential of observability data for their customers.
The debate between single vendor solutions and best of breed approaches has been ongoing for decades in the technology industry. Engineers have always sought out options and choice, and this has led to a shift in the dominance of large vendors in each stage of technological development. As soon as IBM sold enterprises the mainframe solution, engineers started to look for other options.
If you’ve been around the observability world for the past few years, you’ve probably heard a few stats around data growth. Worldwide, data is increasing at a 23% compound annual growth rate (CAGR), per IDC. That means in five years, organizations will be dealing with nearly three times the amount of data they have today – generated by diverse and emerging sources, from data centers to cloud sources to edge computing.
