Operations | Monitoring | ITSM | DevOps | Cloud

As platform engineering continues to rise in popularity, there is a new side effect to watch out for: the people using the internal developer platforms aren't the people who built it. They’re not necessarily familiar with the codebase, they may not know what's powering it behind the scenes – and the platform might even have to contend with malicious users. So how is Puppet evolving to contend with this new challenge?

For the last few years, Squadcast has been building out a market-leading on-call and alert management solution. Over the past few quarters, we have significantly enhanced our on-call product by releasing and improving features related to Incident Response - including Slack / MS Teams integration, Runbooks, Postmortems, Service Level Objectives, and Status Pages. We believe that a reliability platform involves both on-call and incident response - one cannot work effectively without the other.

As a solutions engineer for FireHydrant, I speak with a wide variety of companies about their incident management programs — from start-ups with a handful of employees to large enterprise companies with thousands of engineers. Whether they’re looking to establish their incident management program or mature it, the same questions remain.

Organizations are embracing Platform Engineers because it helps development teams deliver software releases much faster. Platform Engineers improve and automate the overall workflow starting from code to the final delivery. In this article, we will try to answer all your questions regarding Platform Engineering. We will discuss why you need Platform Engineering for your business, how it differs from DevOps and SRE, and which companies benefit most from it.

At MetricFire, we treat your data as our data, and we secure our data. Security is prioritized at every level of our infrastructure so you can have peace of mind that your data is sent and stored safely. Keeping MetricFire secure is fundamental to the nature of our business. One of our key priorities is to secure our customers’ metrics and trust. We diligently ensure that we comply with industry security standards so that our customers can trust that their metrics are safeguarded.

Azure Container Apps is a serverless platform that enables you to deploy containerized applications and microservices—regardless of their code or framework—without managing any underlying cloud infrastructure or orchestrators. By using serverless containers, Azure Container Apps can automatically scale based on HTTP requests or events supported by Kubernetes event-driven autoscaling (KEDA) in order to accommodate peak demand and meet your budgeting goals.

Continuous integration (CI) demands continous testing: shifting left helps prevent faulty code from spreading, which is one of the core aims of CI. Datadog’s new Azure DevOps extension enables you to seamlessly incorporate integration and end-to-end tests into existing CI/CD workflows on Azure Pipelines, a dedicated CI/CD service that automatically runs builds, performs tests, and deploys your services and applications via cloud-hosted pipelines.