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Staying on top of your Kafka with email alerts from Lenses.io

Imagine being out on a Saturday morning, drinking coffee and catching some sun when a message on Slack from a colleague tells you about an incident on your Kafka infrastructure. Fortunately, you are able to identify the problem and correct it from where you are but wouldn't it be good to know about that Kafka broker going down at the time that this has happened? Is there a way to prevent that from happening again? Yes, there is: Lenses alerts.

Introducing The Bugfender Web SDK

We are thrilled to announce Bugfender’s new javascript SDK for the frontend, which applies the simplicity of our mobile SDKs to web applications. Bugfender JS has all the features that you already know from iOS and the Android SDKs, enabling you to: In this blog, we’re going to tell you how to access our new SDK, provide a quick overview of its benefits, and bring you up to speed with the evolution of the Bugfender project.

Secure your Kafka Connect connections with Azure Key Vault

Kafka Connect is a great framework for moving data in and out of Kafka. But doing so requires connections with some of your most important data crown jewels. Customer information held in MongoDB, audits in a S3 bucket, payroll information in an Oracle database. Connecting to these data stores requires authentication.

Android memory leak

OutOfMemoryException is a common and frustrating bug, and one of the prime causes of unexpected app shutdown. “Why is this happening now, if the app was working perfectly yesterday?” It’s a question which perplexes both rookie and advanced Android developers the world over. There are a variety of potential causes of OutOfMemory Exceptions, but one of the most common is the memory leak — the allocation of memory in the app which is never released.

Machine learning in production: Human error is inevitable, here's how to prepare.

You did it. You have machine learning capabilities up and running in your organization. Success! What started as a few nascent experiments (and maybe a few failures) are now carefully constructed models racing along in full production—with the ability to scale into the hundreds or thousands of productional models in sight. Assembling your expert team of data scientists and custodians seems like a distant memory. Now you’re looking ahead to the future—growth, innovation, revenue!