StackGen has partnered with Google Cloud Platform (GCP) to bring its platform to the Google Cloud Marketplace.
DevOps may not yet be perceived as a glamorous role (trust me, that time will come), but it performs a critical function in a cloud-based business: Keeping release cycles on track and revenue flowing.
DevOps must deal with zombies popping up on all sides, in the form of 500s, 404s, service timeouts, and fatal exceptions. Failing to attack these issues as soon as they crop up can generate rot throughout your business because customers have very little tolerance for a bad experience online. I’m a big believer in DevOps as the new face of customer experience.
Statistics tell us that no amount of testing will uncover every zombie lurking in your systems, especially the low-probability ones. People try to do things that even the best use cases don’t anticipate, or best QA teams every test for.
Therefore, operating at scale also means finding and fixing problems on the fly. At the core it’s simple: Humans write code, humans make mistakes, applications inherit them, and scale exposes them.
Luckily, you have a powerful zombie-killing weapon at your disposal: log management. By proactively monitoring for errors and performance degradation and allowing a log management solution to notify you through alerts, you’ll never have to sleep in fear again.
So as you load up your bag with treats on Halloween, be sure to load up on your #DevOpsZombieKillers before the next APP-pocalypse strikes. Here’s how:
■ Aggregate all of your log data with a convenient, cloud-based log management solution.
■ Set up dashboards and alerts to monitor your logs for errors and performance problems, so that you can detect the zombie incursion within minutes.
■ Have processes in place to troubleshoot operational issues and bugs in your code.
Take control of your fate: With these steps in place, you’ll rest easier. Without them, your site and apps might soon rest in peace.
Karen Sowa is a Marketing Specialist at Loggly.
Industry News
Tricentis announced its spring release of new cloud capabilities for the company’s AI-powered, model-based test automation solution, Tricentis Tosca.
Lucid Software has acquired airfocus, an AI-powered product management and roadmapping platform designed to help teams prioritize and build the right products faster.
AutonomyAI announced its launch from stealth with $4 million in pre-seed funding.
Kong announced the launch of the latest version of Kong AI Gateway, which introduces new features to provide the AI security and governance guardrails needed to make GenAI and Agentic AI production-ready.
Traefik Labs announced significant enhancements to its AI Gateway platform along with new developer tools designed to streamline enterprise AI adoption and API development.
Zencoder released its next-generation AI coding and unit testing agents, designed to accelerate software development for professional engineers.
Windsurf (formerly Codeium) and Netlify announced a new technology partnership that brings seamless, one-click deployment directly into the developer's integrated development environment (IDE.)
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, is making significant updates to its certification offerings.
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, announced the Golden Kubestronaut program, a distinguished recognition for professionals who have demonstrated the highest level of expertise in Kubernetes, cloud native technologies, and Linux administration.
Red Hat announced new capabilities and enhancements for Red Hat Developer Hub, Red Hat’s enterprise-grade internal developer portal based on the Backstage project.
Platform9 announced that Private Cloud Director Community Edition is generally available.
Sonatype expanded support for software development in Rust via the Cargo registry to the entire Sonatype product suite.
CloudBolt Software announced its acquisition of StormForge, a provider of machine learning-powered Kubernetes resource optimization.