Today, AWS announced the AWS Lambda Runtime Logs API, a new way to easily send logs from AWS Lambda functions directly to your destination of choice. AWS Lambda Extensions, announced in October, provide the ability to run code in parallel that is independent of your function’s lifecycle. We’ve created an extension that utilizes the Lambda Runtime Logs API to send your logs directly to Honeycomb.
Many AIOps initiatives experience difficulties due to unrealistic expectations and a lack of a clear AIOps strategy. What is the reality beyond the AI hype, and how do we make these initiatives a success? Join us in this CTO Perspective discussion with Jason Walker, Field CTO at BigPanda, to find out.
DevOps practices, and the teams that implement them, are becoming increasingly critical to the value which any company provides its customers. This was the key message throughout a recent fireside chat between DevOps Institute Chief Ambassador Helen Beal and Moogsoft VP of Product and Design Adam Frank. A great paradox of the digital era is that, once written, software is invisible to those who write it.
Implementing distributed tracing is fast becoming a fundamental expectation when building modern (distributed) systems. However, this is yet another thing for developers to learn, and configuring distributed tracing on Kubernetes is hard, right? Actually, no. Getting started with Jaeger on Kubernetes has never been easier.
Shipa, Corp., delivering a cloud native application management framework built to manage the full application lifecycle, today announced that it is open sourcing Ketch, Shipa’s deployment engine, under Apache License Version 2.0. This open source release is available on GitHub and follows the general availability launch of Shipa’s full application management framework in October.
On November 11, 2020, I had the pleasure of speaking with two incredible thought leaders in the DevOps space: Vivek Pandey, VP of Engineering at Shipa (https://www.shipa.io), and Patrick Deuley, Sr Product Manager at GitLab (https://www.gitlab.com). The topic of the discussion was “Monolith to Microservices,” and we covered three key areas: Starting out, Scaling and Developer Experience.
As the Northern Hemisphere faces what could be a long, sepulchral winter, there’s no clear vision into the future. Here are some recent stats: Alright then. What is certain is that the private and public sector needs technology leaders who can direct investments strategically and cost-effectively, more than ever.
CI/CD is a software development strategy which allows for faster development by introducing automation while still maintaining the quality of code deployed to production. Implementing a CI/CD pipeline not only promotes a safer deployment process but also improves the incident response process. CI/CD is broken down into multiple parts. The CI refers to continuous integration, meanwhile, the CD can refer to continuous delivery and/or continuous deployment.
One of the struggles developers face is how to catch all Python exceptions. Developers often categorize exceptions as coding mistakes that lead to errors when running the program. Some developers still fail to distinguish between errors and exceptions. In the case of Python application development, a python program terminates as soon as it encounters an unhandled error. So, to establish the difference between errors and exceptions, there are two types of errors.
