Operations | Monitoring | ITSM | DevOps | Cloud

IT environments can produce billions of log events each day from a variety of hosts and applications. Collecting this data can be costly, often resulting in increased network overhead from processing inefficiencies and inconsistent ingestion during major system events. Google Cloud Dataflow is a serverless, fully managed framework that enables you to automate and autoscale data processing.

At the most basic level, application programming interface (API) monitoring checks to see if API-connected resources are available, working properly and responding to calls. API monitoring has become even more important (and complicated) as more elements are added to the network and the environment evolves, including multiple types of devices, microservices as a key part of application delivery, and, of course, the widespread move to the cloud.

Over the last year or so, the unavoidable topic of overwhelming cost has emerged as the number one issue among today’s observability practitioners. Whether it is in conversations among end users, feedback from customers and prospects, industry chatter or the coverage of experts including Gartner, the issue of massive telemetry data volumes driving unsustainable observability budgets prevails.

Cribl’s interface is Super Neato: Reactive, beautiful, and easy to use. But sometimes you need to access settings and configurations programmatically. The good news is that interactive API docs are baked into your Cribl instance. The better news is that everything that happens in the GUI is making API calls. With your browser’s developer mode, you can easily take a peak behind the curtain to see exactly how the API was called and what the payload looked like.

Adapting to efficient ways to build and control pipelines is vital to businesses aiming to ensure streamlined data operations and maintain a competitive advantage. That’s why we’re introducing Mezmo Pipeline as Code—a transformative approach to pipeline management.

At Cribl, we have the privilege of helping our customers achieve their strategic data goals by giving them visibility and control over all of their observability data. The reality today is that data is commonly stored across many places. Whether intentional (such as using Cribl Stream to create a security data lake) or unintentional (because of silos and tool sprawl), organizations desire the ability to access and analyze all of this information at any time.

Infrastructure as Code, or IaC, is the practice of automatically provisioning and configuring infrastructure using code and scripts. IaC allows developers to automate the creation of environments to generate infrastructure components rather than setting up the necessary systems and devices manually.