If you’re going to move assets to Azure – or any public cloud, you’re going to need some help. As a cloud consulting firm with a top-notch infrastructure performance monitoring application, we help enterprises navigate obstacles on the path to the cloud all the time. We’ve also felt the pain of sizing and pricing in our cloud journey, too. That’s why we created Galileo Cloud Compass (or GCC as we sometimes call it).

A change in leadership is an exciting phase for any organization. Here at Pepperdata, we are excited to announce that we have a new CEO at the helm: Maneesh Dhir. Our former CEO, Ash Munshi, will assume the role of Executive Chairman of the company’s board of directors, following five years of continued growth. We are thrilled to have Maneesh as our new chief executive and look forward to his extensive experience and expertise in the tech space helping us thrive in the coming months and years.

AWS resource tagging is fundamental for effective cloud cost management. By creating and allocating cost-related tags in AWS, you can organize and manage your resources according to keys and values that make sense to you. This helps you better understand your cloud costs and manage your spending. But proper tagging isn't easy. While AWS provides several useful resources, you may still run into some issues that require more involved solutions.

As cloud use has increased, so have the costs associated with it. In 2020, surveyed organizations reported being over budget for their cloud spend by an average of 23%. Most are spending more than they expected, and to top it off — they don’t feel they’re getting value from that spend.

It's something you know. Those who rely on or offer Software-as-a-Service (SaaS) solutions are under constant pressure to innovate. Often, this means quickly building new features and releasing them more frequently. Staying on budget and on time is also critical for staying competitive. Likewise, SaaS providers should also offer customers cost-effective solutions to their technology challenges. But that’s not all. You must also always release quality code that provides seamless user experiences.

Everyone is doing it. No, I am not talking about the latest Tik Tok challenge… The thing that everybody is doing—every company, that is—is that they are spending more money in the cloud than they need to. In fact, 82% of respondents in our own recent survey admitted that their organizations have incurred unnecessary cloud costs.

Profitability in SaaS can be tricky. A company's net earnings are based on its invested capital, assets, and equity. But its profit margin shows how much money it extracts from its total sales or revenue — its ability to turn revenue into profit. Performing a thorough margin analysis or profit margin analysis is a reliable way to assess the company’s financial health.

Are you sure your Hive queries are performing at their best? You might be surprised. Apache Hive is the most prevalent query engine used in many of the largest enterprise environments today, but that doesn’t mean it works optimally automatically. To get the most out of the engine and achieve Hive query optimization, it’s important to tune its performance. But before we dive into that, let’s cover the basics of Hive performance tuning. What is Hive performance tuning?

Ask anyone who’s managing any cloud environment of any size, and they will undoubtedly bring up the stress they experience on a regular basis over tags. Since the dawn of cloud, every cloud user has struggled with the challenge of tagging — essentially the only mechanism that exists for you to apply metadata to your cloud environment. The fact that tags themselves are an imperfect tool — both inflexible and hard to manage — makes no difference.

Amazon Simple Storage Service (S3) is an essential cornerstone of AWS and among its most popular service offerings. S3 allows tenants to store, secure, and retrieve data from S3 buckets on demand. It is widely used for its high availability, scalability, and performance. It supports six storage classes and several use cases, including website hosting, backups, application data storage, and data lake storage. There are two primary components of Amazon S3: Buckets and Objects.