Spot Ocean functions as an autopilot for the Kubernetes data-plane, as it delivers container-driven autoscaling to continuously monitor and optimize your cloud infrastructure for the cluster. Positioned at a busy crossroads in your application deployment pipeline, Ocean generates and maintains data in several manners/formats – data which is valuable when monitoring the containerized environment.

Let’s get to it! Linux is a free, open-source operating system created in 1991 by Linus Torvalds. Unlike other operating systems, Linux is a community-developed project that is actively supported by programmers from all over the world. Developers can freely add or modify the source code and distribute it under either the original free software license or their own custom licenses. This makes Linux an extremely versatile and adaptable platform with a wide variety of uses.

Known for its cross-platform compatibility and elegant structure, ASP.NET Core is an open-source framework created by Microsoft for building modern web applications. With it, development teams can build monolithic web applications and RESTful APIs of any size and complexity. Thanks to CircleCI’s improved infrastructure and support for Windows platforms and technology, setting up an automated deployment process for an ASP.NET Core application has become even easier.

We’re excited to announce that we’ve recently added Varnish monitoring support for Google Cloud Platform. You can check it out here! Below are steps to get up and running quickly with observIQ’s Google Cloud Platform integrations, and monitor metrics and logs from Varnish in your Google Cloud Platform.

As almost 90% of organizations are executing on a multi-cloud strategy for migrating their data and analytics workloads to the cloud, the term “modern data stack” continues to gain more traction. A modern data stack is a suite of technologies and apps built specifically to funnel data into an organization, transform it into actionable data, build a plan for acting on that data, and then implement that plan.

This is no secret to you. It costs up to seven times more to attract a new customer than to keep an existing one. Upselling an existing customer is also easier than upselling to a new one. So, keeping customers will increase your revenue and profitability. Not to mention, current customers are likely to buy more goods and services than new ones. But that's not all. The longer you keep a customer, the higher their Customer Lifetime Value (CLV) grows, thus maximizing your return on investment.

So, you’re looking for the right instance type for your public cloud workload, but how do you decide? Major cloud providers such as Amazon Web Services (AWS), Microsoft Azure Cloud and Google Cloud Platform (GCP) now offer such a large catalog of IaaS instances that it can become difficult to make sense of it all.

I have been an AWS customer since 2010 and in the early days I, along with just about everyone else on AWS, spent a lot of my time just managing infrastructure. Patching AMIs, configuring load balancers, updating auto-scaling configurations, and so on. It was the sort of thankless task that no one cared about until something went wrong! The very definition of what Werner Vogel often refers to as “undifferentiated heavy-lifting”.

According to Gartner, organizations spent $410.9 billion on cloud services in 2021. In the same year, executives estimated that as much as 30% of their cloud spend was wasted. That’s an aggregate $123.27 billion of waste — money that could go toward innovation, or that could help insulate companies from one of the worst market downturns in years. Organizations face a dilemma: The cloud is essential to modern business, and it’s only getting costlier.