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Python code optimization may seem easy or hard depending on the performance target. If the target is “best effort”, carefully choosing the algorithm and applying well-known common practices is usually enough. If the target is dictated by the UX, you have to go down a few abstraction layers and hack the system sometimes. Or rewrite the underlying libraries. Or change the language, really. This post is about our experience in Python code optimizations when whatever you do is not fast enough.

Feature Highlights is a new addition to our ongoing series of webinars. As the name suggests, it’ll focus on specific product features with anonymized customer use cases taking center stage. In other words, how Cribl customers actually use the features to get the job done, sometimes in unintended ways. QuickConnect was the first act with a session “Streamline Connections w/ LogStream QuickConnect”.

With multiple teams working on many projects, having a single pipeline for your software is just not enough. These projects need to be built and integrated before they can be tested and released. So how do dev teams handle this situation? Many teams approach the problem by breaking down software into smaller parts that do less, and are easier to maintain and build. This approach has resulted in the microservices architectures that are increasingly common in our industry.

Customer support software is a gamechanger for ambitious consulting firms. If you’re trying to scale your consulting business but lack the systems to support your growth, you should explore the potential of customer support software. This will enable you to successfully provide all of your clients with consistent and exceptional support. Let’s explore this further.