It’s been a great month for exciting insights about the role that engineering must play in driving profitable innovation.

Businesses are increasingly interested in the economics of cloud computing. For instance, what are the financial implications of moving to the cloud versus staying on-premises? And what’s the best strategy for optimizing cloud consumption to get the best value from cloud resources? This article takes a look at some of the key concepts of cloud economics, and how your business can leverage cloud cost intelligence to maximize the value of your investment.

Big data analytics help organizations use data to explore both new and improvement opportunities. Whichever cloud data platform you choose, there are two data storage technologies you will want to understand. Data warehouses and data lakes are the two dominant data solutions commonly used for defining how an organization stores, queries, analyzes, and reports on big data. This post will define what a data warehouse and data lake are, how they work, and their differences.

In this enterprise cost containment series, we’ve tackled a range of topics from cloud to professional services and more. Now, I want to dive into the topic you may have expected us to cover from the start: monitoring. After all, at SolarWinds, we create monitoring software. The goal of this post is not to present or sell software, though. It’s our intention to help you have conversations with management and stakeholders—no matter the monitoring you use.

AWS tags are a bit like flossing your teeth every day — or getting eight hours of sleep a night. Everyone agrees they’re good habits that will make life easier down the road. But sometimes life gets in the way, and those habits fall a little short. Most teams set out with the intention to tag their infrastructure, but in our experience, it’s rare that companies have a perfect, thorough AWS tagging strategy.

The experienced IT professional is no stranger to the term “automation.” However, many don’t fully grasp the potential this word presents to IT processes, including the fast-growing realm of intelligent automation. But before you start looking to automation to help rein in costs, it’s important to develop an automation strategy that best fits the needs of your organization. This article explores the three key areas in which to start when building your automation framework.

To make sure your company’s cloud-based resources remain continuously available, you need a way to monitor all your applications and quickly detect when something goes wrong — especially if you are running multiple instances and using a variety of products. Amazon’s inbuilt tool, CloudWatch, allows you to do just this. In this article, we’ll cover exactly what AWS CloudWatch is, how it works, and how much it costs to use.

First, thanks for indulging the clickbait title joke. Serialization is the unsung hero of harmonizing network and application relations and deserves the occasional, snarky callout. Moreover, identifying how the unique mix of network clients in your environment consume your carefully manicured infrastructure is critical for managing network cost. Because today, a rapidly expanding, diverse pile of new technologies all assume the network is a magic grid, no tuning required.

Data is a key business intelligence tool. Successful businesses rely on data to make decisions. And every business needs a secure destination for storing collected data for later analysis. Cloud-based data warehouses are increasingly becoming the go-to destination. Redshift and Snowflake are two of the big names in this space and they provide similar services. They are big data analytics databases that can read and analyze huge amounts of data.

Reining in costs and ensuring your IT organization maximizes its technical ROI is a delicate balancing act of office politics and well-rooted processes. IT cost challenges tend to vary from business to business, but they have one thing in common: they’re all manageable. Taking the time to study the most common IT revenue black holes starts with developing an in-depth understanding of how each one can affect IT productivity and the business’s bottom line.

You’re probably familiar with the many benefits of licensing software using a SaaS (Software-as-a-Service) model. The most frequently touted benefit is that you pay only for what you use when you use it. Additionally, you don’t have to worry about upgrading, or server maintenance, or security. That’s all taken care of. However, even using a SaaS model, you still need to monitor and manage costs, which can be a challenge if you are working with several suppliers.

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.