The most common API architecture on Serverless backends is not necessarily the most scalable and resilient option. Many developers take for granted that an AWS Lambda processing external requests will require an API Gateway endpoint connected directly to it. One of the best options to decouple a Lambda function and an API Gateway endpoint is by using an SQS queue. Requests come into API Gateway, which are sent as messages to SQS.

Since its inception, OnPage has been dedicated in providing a powerful critical alerting solution. This mission continues in 2020, as OnPage is pleased to introduce its ability to override the silent switch and Do Not Disturb (DND) mode on iOS. The latest advancements ensure that tasked recipients always receive high-priority, OnPage audible alerts, regardless of their current iPhone settings.

This year, I got a unique opportunity to call in at Mattercon 2020 and give a talk about my experience working on Mattermost and open source software (OSS) in general. I talked about how OSS helped me grow as a self-taught developer and how working on issues from Mattermost’s repos helped me gain experience and confidence in software development. In this article, I will highlight some of the things I talked about and also throw in a few pointers related to working on OSS.

Open-source software started around the millennium and is now one of the cornerstones of modern software development. Open-source projects make their source code available to anyone so that engineers across the world can inspect the code to find bugs or make changes to suit their needs. Today, there are more than 180,000 open-source projects available, according to Wikipedia. We at StackState are big believers in open-source software.

We're excited to announce that the Splunk Machine Learning Toolkit (MLTK) version 5.2 is available for download today on Splunkbase! Earlier this month, I discussed how the release of version 5.2 will make machine learning more accessible to more users. Splunk’s MLTK lets our customers apply machine learning to the data they're already capturing in Splunk, develop models, and operationalize these algorithms to glean new insights and make more informed decisions.

Jaeger is a popular distributed tracing project hosted by the Cloud Native Computing Foundation (CNCF). In the Elastic APM 7.6.0 release we added support for ingesting Jaeger traces directly into the Elastic Stack. Elasticsearch has long been a primary storage backend for Jaeger. Due to its fast search capabilities and horizontal scalability, Elasticsearch makes an excellent choice for storing and searching trace data, along with other observability data such as logs, metrics, and uptime data.

For teams that deal with machine learning (ML), there comes a point in time where training a model on a single machine becomes untenable. This is often followed by the sudden realization that there is more to machine learning than simply model training. There are a myriad of activities that have to happen before, during and after model training. This is especially true for teams that want to productionize their ML models.

This guide is focused on how to log in Python using the built-in support for logging. It introduces various concepts that are relevant to understanding Python logging, discusses the corresponding logging APIs in Python and how to use them, and presents best practices and performance considerations for using these APIs.