We are pleased to announce today that Shipa, the cloud-native Application as Code platform is now available on the AWS Marketplace. Bringing the power of Shipa to your internal customers on AWS infrastructure has never been easier with click to install from the AWS Marketplace.

Amazon Elastic Compute Cloud (EC2) is one of the core services of AWS, designed to help users reduce the cost of acquiring and reserving hardware. EC2 represents the compute infrastructure of Amazon’s cloud service offerings, providing organizations a customizable selection of processors, storage, networking, operating systems, and purchasing models.

AWS resource tagging is fundamental for effective cloud cost management. By creating and allocating cost-related tags in AWS, you can organize and manage your resources according to keys and values that make sense to you. This helps you better understand your cloud costs and manage your spending. But proper tagging isn't easy. While AWS provides several useful resources, you may still run into some issues that require more involved solutions.

With the proliferation of security SaaS platforms, such as Cloudflare, Proofpoint, and PingOne, enterprises must figure out how to integrate third-party data shipped over the internet into their analytics and SIEM platforms. This requirement to integrate third-party data raises a host of security, infrastructure, and data quality questions. Enterprises can lower risk, and complete projects faster, by using Cribl LogStream Cloud to solve their challenges in managing third-party SaaS platform data.

Over the past several years, I've helped numerous customers migrate SQL Server workloads to Azure SQL, including Azure SQL Database, Azure SQL Managed Instance, and Azure SQL Virtual Machines. In this article, I'll explain some of the challenges of optimizing the compute cost for an Azure SQL Database deployment and review how the serverless compute tier can greatly simplify it.

Azure SQL Database is at the heart of many applications running on Azure. Whether a company is migrating its on-premises applications to Azure or designing a new application from scratch, there are high chances of Azure SQL Database being considered and used.

Today, we have some exciting news to share: Pepperdata Capacity Optimizer now supports Azure Kubernetes Service (AKS). This means users of AKS are able to automatically optimize their workloads running on the Azure Kubernetes Service. AKS users can now rely on Pepperdata to help them monitor and optimize Spark applications on Kubernetes AKS. This evolution of our platform has been in the works for some time, and we know our users will be delighted by this development.

We've gone through many iterations of ways to build, deploy and distribute applications written in Go at Cloud 66. Unlike Rails, Go applications can be web applications, daemons or CLIs and therefore have different requirements. I'll share some of what we've learned with you in this post.

The world is still getting used to operating within the cloud. Moving to the cloud is challenging for many organizations. So why do we see a rise in the adoption of multicloud strategies? In this blog, we will explore why this trend is worth considering for your organization, as well as look at the challenges that it brings.

Compared to the previous generation, today’s generation of startups are increasingly cloud-centric. The previous generation of dotcoms had to suffer the economics and complexities of deploying, managing, and scaling their own servers, networks, and data centers. In contrast, today’s generation grew up in the just-in-time, pay-for-what-you-need, and scale-up-on-demand world that is cloud native.