Operations | Monitoring | ITSM | DevOps | Cloud

In today’s fast-paced tech landscape, how does a company ensure that its products truly meet the needs of its customers? At Cribl, the answer lies in our unwavering commitment to a customer-centric mindset. This philosophy has driven our success, enabling us to develop groundbreaking solutions like Cribl Lake. The story of Cribl Lake is not just about the product itself but also about the people behind it and our unique approach to building the team that brought this solution to life.

Can there really be too much of a good thing? Oh yeah!

Security operations strategy has long been stagnant. Right now is the perfect time to rethink and revolutionize the Security Operations Center (SOC). If you look at the threat landscape today, a significant majority of business executives and InfoSec experts foresee imminent cybersecurity disruptions.

An oft-forgotten component of robust, production-ready code is testing. The moat protects us from costly service interruptions and fortifies trust in our product with our customers. Simply put, it’s in the critical path of damn good software. However, as we scale a cloud product to serve a rapidly growing user base, our test case scenarios scale correspondingly. As far as testing goes, end-to-end (E2E) testing most closely mirrors the end-user experience.

While spring is traditionally the time for tidying up for most folks, IT and Security teams know it is important always to maintain a clean, streamlined environment. However, we understand that doesn’t always happen with growing data volumes, stagnant budgets, and changing organizational priorities. This blog is to help you understand if you are properly overdue for a clean-up.

System monitoring can be viewed as being closely related to infrastructure monitoring, but there are differences between the two concepts, particularly with their scopes within the realm of IT monitoring. Infrastructure monitoring concentrates on monitoring the physical and virtual components of an IT environment, such as servers, networks, storage systems, and cloud services.

Telemetry data sent from applications often contains Personally Identifying Information (PII) like names, user IDs, phone numbers, and other information that must be obfuscated before the data is sent to storage or observability tools, in order to be in compliance with corporate or government policies such as HIPAA in the US or the GDPR in the EU.

When it comes to coding and software/app development, two trends are especially appealing to certain business users: low code and no code programming platforms. Let’s take a look at the differences here.