Operations | Monitoring | ITSM | DevOps | Cloud

Every time your company onboards a new client or releases a new product, your cloud bill will grow. In fact, it doesn’t take a large event at all to see a spike. Whenever your company changes direction even slightly, it can affect the bottom line. Add to that factors such as economic inflation and increased demand for high-speed, high-power cloud services, and it may seem like each month’s cloud bill is higher than it was before. If that’s the case for you, you’re not alone.

Kubernetes has been described as everything from “awesome!” to “I regret my life choices,” and with 84% of all Kubernetes cloud workloads running on Amazon Web Services (AWS), it should come as no surprise that AWS created Amazon Elastic Kubernetes Service (EKS) to eliminate much of the undifferentiated heavy lifting it often takes to manage. What do companies like about Amazon EKS?

DevOps doesn’t necessarily look like it used to. Engineers used to build software designed for on-prem hardware; they had a specific methodology for efficient production and distribution schedules; and they didn’t interface very much with non-engineers, if at all. Today, all that has been flipped upside-down. Cloud-era DevOps engineers now must possess wildly different skill sets, and some previously non-negotiable skills have faded into the past.

Both CloudHealth and Cost Explorer have recently rebranded to different degrees. CloudHealth is now VMware Aria Cost Powered by CloudHealth. AWS Cost Explorer received a fresh coat of paint for its user interface. But do these traditional cloud financial management tools offer additional features now? And can the help provide the cost visibility you need to reduce cloud spending and improve profitability?

DevOps, as a combination of development and operations, is the process by which companies build and manage software and deliver it to customers. A good DevOps strategy unites team members around shared goals and gives them the support and tools they need to complete the job well. However, as with many things in the business world, successfully using DevOps principles and managing a cohesive team can be easier said than done. At least a small part of that difficulty comes down to fuzzy definitions.

For SaaS companies, cloud spending can mean the difference between profit and loss. Staying on top of cloud spend is an absolutely crucial part of running a healthy cloud-based business. But tracking even the relatively straightforward cloud costs from your primary providers can be tricky.

When businesses first transition to the cloud, they often prioritize performance and speed above all else. After all, the cloud is an exciting new world full of nearly unlimited resources ripe for the taking. Sooner or later, however, businesses must face the fact that speed and power come at a high financial price, and sometimes their original choices are not sustainable from a cost standpoint.

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%.

DevOps has exploded in popularity since the concept first emerged in 2009. A DevOps approach encompasses both practices and tools that engineers use to build quality software more rapidly. Before DevOps, software development followed a “waterfall” model. Back then, developers would code first, then perform quality assurance (QA) testing, and fix any bugs or errors as necessary.

Alphabet. Netflix. Shopify. Amazon. Meta. Microsoft. These are just a few of the leading tech companies that recently laid off thousands of employees. Slashing jobs, because it is often one of the biggest expenses for tech companies, may seem like a quick fix, but it can be counterproductive, especially when it impacts experienced engineers. So, what are the specific reasons tech companies are cutting jobs? And what are the alternatives to layoffs?