Data center energy consumption is on the rise as the demand for computing power and digital services continues to grow. To reduce data center carbon emissions, many data center managers now have corporate sustainability goals that they must comply with. According to KPMG, 80% of companies now report on their sustainability. The benefits of increasing data center energy efficiency are vast.
Site reliability engineering (SRE) does the work that would typically be done by operations but instead uses engineers with software experience to solve problems. The concept of SRE was created by Google in 2003 after a team of software engineers was asked to make Google’s sites more scalable, reliant, and efficient. They described SRE as ‘when you treat operations as if it’s a software problem’.
All developers know that moment when, after we’ve reviewed everything and completed our sanity tests, our code somehow doesn’t work in production. The question is, how quickly and easily can we discover the problem so that we can continue delivering features faster and more confidently to our users?
As digital transformation accelerates and more organizations use software solutions to facilitate work operations, security threats have become more commonplace. Cybercriminals tirelessly develop ways to exploit software application vulnerabilities to target organizational networks. A notable example is the 2017 Equifax data breach, which exposed the personal details of 145 million Americans.
You’ve secured your cloud identities. You’ve hardened your cloud security posture. You’ve configured strong cloud access controls. But there’s still one more thing you need in order to secure your cloud environment: a cloud workload protection platform, or CWPP. Cloud workload protection platforms secure the workloads that run on your cloud — which are distinct from the infrastructure, user identities and configurations that form the foundation of your cloud environment.
Lots of organizations do not pay attention to their assets and pieces of equipment, who is using them and where are they located. These are particularly important questions but usually, they are ignored as a result assets are lost and nowhere to be found when they are required. Lots of employees waste their time finding the required assets and pieces of equipment. It also leads to delayed production work. Overall, the top line and bottom line suffer.
In light of the news that Datto is being acquired by Kaseya, we’ve understandably had partners reach out asking for our take along with a variety of questions. In addition to responding 1:1, I also wanted to share some thoughts in a broader way here on the blog. For starters, I think this acquisition reflects a reality that we have long believed — that the MSP market is healthy and growing fast. Investor interest wouldn’t be so high, otherwise.
There has been a lot of coverage of machine learning (ML) for biological research, for radiology, and for other uses where the direct users are academics, researchers, and medical professionals. However, there is an opportunity for some biological information to be useful in the retail industry. One area is in skincare.
