In 2021 it’s common practice for businesses to use a pay-as-you-go/use pricing model. It’s no different with Amazon. It’s also the primary reason why this article is such an important read for all those looking to reduce their AWS Lambda costs. In this article, we will go over six actionable strategies to optimize the cost relating to our AWS Lambda usage. One of the main reasons for choosing to move into the cloud is the ability to reduce costs.

Developers are the kingmakers. Millions of decisions made by tens of thousands of developers are ultimately responsible for the triumph or tragedy of IT. Developers for commercial vendors, open-source projects, cloud and software as a service (SaaS) solutions, managed service providers (MSPs), and internal teams make most technology decisions far upstream from IT pros. This essentially defines ops’ role as the crew who finds a way to make washing machines fly in formation.

Like a lot of SaaS companies, the CloudZero engineering team uses our own product — or as many would say, we “eat our own dog food” and “drink our own champagne”. So, when we built and released our cost per customer functionality last year, it was only natural that we were our own guinea pigs.

One of the most important things SaaS companies need to think about in order to be successful is financial modeling. To succeed in the increasingly competitive SaaS space, finance teams need to carefully consider a wide variety of KPIs and find ways to effectively manage both present and future cash flows. Cash flows and liquidity are two of the most common challenges faced in this industry — if effectively addressed, your company can position itself for long-term success.

“Cost” would seem to underpin almost every decision IT teams make. Sure, business requirements drive overall operations budgets, but it’s always in tension with decades-old certainties about cost. It’s long been the unyielding constant of IT equations. In particular, IT pros migrating application infrastructures out of the data center have discovered the on-premises math of cost containment no longer works.

Serverless computing is one of the fastest-growing areas in software development, along with hybrid clouds and using multi-cloud strategies. The global serverless architecture market is expected to grow at a CAGR of 16.2% in 2021 through 2026. It will reach $10.29 billion from $4.2 billion in 2020, according to MarketWatch. The serverless approach promises to help developers beat the cons of self-managed and even virtual server infrastructure. But is serverless right for you?

Amazon Web Services (AWS) provides numerous solutions for developers. One of these is Fargate, a serverless container service that allows users to run containers on AWS without the need to manage any underlying infrastructure. Containers are helpful because they solve the problem of getting applications to run reliably when the application is moved from one computing environment to another. AWS Fargate works with both Amazon Elastic Container Services (ECS) and Amazon Elastic Kubernetes Service (EKS).

Choosing the right service plan is crucial when you are using Amazon Web Services (AWS). With 170 distinct services, ranging from compute to storage to networking and content delivery — each offered at different price points — the process requires careful consideration to make the right choice for your business. By default, AWS services are available on-demand and you pay a monthly bill for services used.

There’s no question that engineering teams at innovative tech companies are busy. No matter how successful your company is, there’s always a long backlog of feature enhancements that can make it challenging to focus on other priorities. So, it’s no surprise that one of the most common questions we get from companies that engage with us is “How much of an effort will this be for my engineering team?” The short answer is that you can get value within minutes.

The promise of running a business on the cloud is that — in theory, at least — you should be able to scale your infrastructure up and down with your customer utilization. This should lead, again in theory, to less maintenance and more opportunity for innovation.