Operations | Monitoring | ITSM | DevOps | Cloud

Containers are one of the most popular ways for businesses to deploy applications. They provide an easy method of packaging applications into self-sufficient units that can be used, moved around, and re-used in any number of ways without breaking the overall functionality of your software. With the possible exception of serverless architecture, containerization is perhaps the best way to achieve smooth, seamless application deployment and minimal hassle with updates and application maintenance.

What separates an engineer fresh out of university from one who has been working in the field for several years? While specialized coding knowledge certainly plays a part, it’s the softer, more business-oriented skills that often set engineers apart from the pack. If an employee doesn’t take the time to develop skills for business in the engineering field, it could hinder their career growth over the long term.

A software development life cycle (SDLC) is the sequence of steps a software project moves from conception to completion. The SDLC process specifies how to build, test, maintain, and improve specific software. Modern software development life cycles typically involve five to seven stages, depending on the model you use. Today, the SDLC comprises eight major models, from the traditional Waterfall approach to the ultra-modern Spiral Model.

The Securities & Exchange Commission (SEC) wants to increase transparency on a company’s carbon footprint, which ultimately would impact valuations. In late March, the SEC released a proposed rule that would force companies to release climate-related disclosures, including information about their carbon footprint and their risk exposure. The goal is to add tangible value to the impact and risks of climate on a company’s operations.

When I co-founded CloudZero, I set out to change the way the world thinks about cloud cost optimization and management. For too long, I had watched cloud cost optimization vendors neglect to help companies build better, more cost-effective software. Instead, everything focused on buying better, by optimizing prices and discounts.

While Financial Operations (FinOps) isn’t a new concept, it is becoming more prevalent in companies that have started seeing increases in their cloud spend. Historically, when engineers needed to set up infrastructure to complete a project, they had to go through a long process of procuring servers, finding space in a data center, and getting financial approval. This process could take two months or more, so it allowed plenty of time for oversight by the financial department.

Businesses both small and large use cloud services to help maintain their data. But managing cloud services — and making sure you stay within your budget — can be a challenge. To maximize your money, you need to focus on one thing: efficiency. If you can be efficient with your time and finances, getting your cloud services up and running will be a breeze.

Cloud costs are a daily concern for companies running applications on Amazon Web Services (AWS). This makes sense because many organizations struggle with unexpected AWS charges. Although many organizations have a cloud budget in place, accurately controlling costs is difficult. Real-time cost remediation is often difficult for many, leading to inflated AWS costs every billing cycle. No matter where you are on your cloud journey, reducing AWS costs is something you’ll want to do continuously.

When your organization uses the cutting edge of technology to function, you may feel like it takes all your time and energy to stay on top of emerging trends. How are you supposed to anticipate what the future will hold when you have to balance those considerations with how to best provide for your customers’ needs today? It’s okay if you don’t have your finger on the pulse 100 percent of the time.

For SaaS companies, the cloud plays a significant role in product creation and delivery. As one of the top drivers of COGS, cloud costs have a major impact on key financial metrics and can dramatically impact revenue and valuation. However, that creates a scenario ripe for conflict: Engineers make important decisions about features and functionality without clear insight into how those decisions will impact spending—and finance continuously gets surprised by seemingly exorbitant cloud bills.