Welcome to this week’s edition of CloudBolt’s Weekly CloudNews!
Here are the blogs we’ve posted this week:
- A Lack of Cloud Accountability: Avoiding Cloud Cost Sins
- Four Hybrid Cloud Integration Challenges and Their Solutions
With that, onto this week’s news:
Joe McKendrick, ZDNet, Feb. 14, 2021
“We’re talking about those who are part of a rising new discipline called ‘FinOps’ — the practice of monitoring, measuring and mitigating the costs and value delivered from the cloud. Here, we see automation is still a struggle to fully attain, and cloud spending a big question mark.
Nearly half of survey respondents (49%) had little or no automation of managing cloud spend. Of those with some automation, almost one-third automated notifications (31%) and tagging hygiene (29%.) Only 13% automated rightsizing and 9% spot use. This ‘indicates that companies are likely missing opportunities to optimize cloud spend,’ the survey’s authors note. About half, 46%, use cloud native tooling as their primary technology, 43% use a 3rd party platform, and 11% use home grown tools or spreadsheets.”
David Linthicum, InfoWorld, Feb. 12, 2021
“Your preflight checklist should have centralized account management, resource management, and asset normalization. If you’re looking for true success with multi cloud, you need to treat the group of public cloud providers as a single cloud as much as possible. There should be a common user management layer to add, remove, or change user accounts using a single point of control that’s capable of talking to each cloud natively.
Cross-cloud resource management: This category can be AIops tools, cloud management platform tools, or anything that monitors the use of resources, such as storage and compute (including provisioning), and most important, automated deprovisioning to return the resource back to the pool. This stops the cloud provider from billing for that resource.”
Samuel O’Brien, Customer Think, Feb. 11, 2021
“With more companies switching to cloud computing than ever before and as a result, it’s expected to grow from $371.4 billion in 2020 to $832.1 billion by 2025, according to a report from Research and Markets.
Edge computing has grown in popularity in recent years. It’s like cloud computing in that it stores data and information online, but it stores it locally (aka ‘on the edge’). It brings data storage closer to the devices being used, eliminating the need to rely on keeping data in a faraway, central location. For example, if you are in a self-driving car, instead of running the algorithm through a traditional cloud computing service, edge computing can run it locally. This improves the efficiency and speed of the delivery. Edge computing is used for other Internet of Things (IoT) technology, such as facial recognition, remote doorbells, smart light switches, Bluetooth, and temperature control systems.”