Operations | Monitoring | ITSM | DevOps | Cloud

StormForge Optimize Live is a machine learning-powered performance and resource optimization solution for Kubernetes workloads. Optimize Live ingests and analyzes production observability data and recommends specific actions to optimize CPU and memory utilization. You can take these actions manually or set them to occur automatically, making it easier to maintain a high level of application performance while minimizing cloud costs.

Have you ever wondered how you can help Kubernetes manage your pods in the most efficient way? Kubernetes can do a decent job “out of the box,” but it can be optimized just like any other system. One such optimization in the Kubernetes world is introducing liveness probes, and in this post, you’ll learn everything about them.

We have a couple of internal websites hosted on Azure. Websites that require authentication and should only be accessed from our IP. This can easily be configured using Access Restrictions in Azure. But when doing so, you exclude the dynamic IP range for Microsoft-hosted Azure DevOps build agents. In this post, I'll show you how we set up deployment to the Access Restricted websites with a bit of PowerShell magic.

Google Cloud Platform (GCP), Google’s answer to Amazon Web Services (AWS) and Microsoft Azure, is steadily gaining steam. Launched in 2008 — just two years after AWS — GCP has taken the bronze medal in public cloud services for years. While it still occupies third place, its market share has steadily expanded: In Q4 2021, GCP owned 9% of the public cloud market, and by Q3 2022, it had jumped to 11%.

At incident.io, we deal with small incidents all the time—we auto-create them from PagerDuty on every new error, so we get several of these a day. As a team, we’ve mastered tackling these small incidents since we practice responding to them so often. However, like most companies, we’re less familiar with larger and more severe incidents—like the kind that affect our whole product, or a part of our infrastructure such as our database, or event handling.

Moving to the cloud is no small feat, especially for enterprise-scale infrastructure. And just imagine the complications when you need to deploy across more than one cloud. Multi-cloud deployment is sometimes characterized by slow, error-prone workloads, lack of consistency, and inflexibility that holds users back. In this blog, we’ll provide clear definitions, use cases, benefits, challenges, and factors to consider for multi-cloud deployment.