As a developer, I love the versatility of Python. Over the years I have used Python for so many different use cases: game development, APIs, IoT, machine learning, and web development. It can scale tall applications in a single bound and take on any challenge faster than you can pip install flask. Something you learn very quickly in the world of app development is to build everything for scale.

Kubernetes has broken down barriers as the cornerstone of cloud-native application infrastructure in recent years. In addition, cloud vendors offer flexibility, speedy operations, high availability, SLAs (service-level agreement) that guarantee your service availability, and a large catalog of embedded services. But as organizations mature in their Kubernetes journey, monitoring and optimizing costs is the next stage in their cloud-native transformation.

Microsoft's Azure and Amazon Web Services (AWS) are the two most popular cloud providers today. They both offer a variety of Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS) solutions. In addition, you'll find products covering multiple computing areas, such as compute, storage, analytics, and networking. You can also deploy AWS or Azure services in the cloud, on-premises, or as a hybrid setup.

Due to its complex nature compared to the on-prem architecture, the cloud presents several challenges to maintaining observability in your apps. This is why you need a robust cloud monitoring solution to care for your cloud-based apps and your cloud. As more and more companies move their operations to the cloud, the need for cloud monitoring solutions continues to grow. Understanding the various aspects of cloud monitoring and how it affects your application is essential.

Cloud automation can do a lot for your organization, making it possible to automate resource creation, management, and housekeeping tasks. If you’ve thought that cloud automation is out of reach, or you’re curious to learn what it can do, we’re excited to announce a brand new webinar that can help! Discover cloud automation in action and walk away with code that you can get up and running within an hour.

Companies are increasingly adopting managed Kubernetes services, such as Microsoft Azure Kubernetes Service (AKS), to build container-based applications. Leveraging a managed Kubernetes service is a quick and easy way to deploy an enterprise-grade Kubernetes cluster, offload mundane operations such as provisioning new nodes, upgrading the OS/Kubernetes, and scaling resources according to business needs.

Observability is a measure of how well we are able to infer the internal state of our application from its external outputs. It’s an important measure because it indirectly tells us how well we’d be able to troubleshoot problems that will inevitably arise in production. It’s been one of the hottest buzzwords in the cloud space for the last 5 years and the marketplace is swamped with observability vendors. Different tools employ different methodologies for collecting data.

From Sumo Logic’s inception over a decade ago, we made a strategic bet to go all in with Amazon Web Service (AWS). Today, many of our customers rely on Sumo Logic to gain unified visibility into their growing number of AWS services, cut troubleshooting time and unlock comprehensive root cause analysis for complete issue resolution.

Setting clear and attainable goals for cloud cost optimization keeps your whole organization on track and working toward a common end. The emphasis here is on clear and attainable. In other words, your team must know where they are headed and have full confidence that they can get there.