Operations | Monitoring | ITSM | DevOps | Cloud

Understanding Your Amazon EKS Spend

Most customers running Kubernetes clusters Amazon EKS are regularly looking for ways to better understand and control their costs. While EKS simplifies Kubernetes operations tasks, customers also want to understand the cost drivers for containerized applications running on EKS and best practices for controlling costs. Anodot has collaborated with Amazon Web Services (AWS) to address these needs and share best practices on optimizing Amazon EKS costs.

The Immutability of Time Series Data

Time series data often comes in large volumes that need to be handled carefully to produce insights in near real time. We’re constantly moving through time. The time it took you to read this sentence is now forever in the past, unchangeable. This leads to something unique about data with a time dimension: It can only go in one direction. Time series data is different from other data for many reasons.

Intro to Hive Queries-What They Are and How to Write Them Effectively

In the realm of big data, Hive is a big deal. Well-written and well-designed Hive queries accelerate data retrieval from datasets. Hive is much better than SQL as the former works with complicated data more effectively. In addition, Hive queries help bring down processing costs. This is why it’s critical to write and optimize Hive queries correctly for big data analytics users and developers.

Data Governance - Best Practices Organizations Should Prioritize In 2023

Data is the fuel for modern businesses as it eliminates guesswork from decisions and gives better control over outcomes. But you cannot rely on random pieces of information to get the best insights. Moreover, you need to protect sensitive enterprise assets from misuse and loss. Data governance covers both fronts by creating internal policies, standards, and processes to collect, store, access, and dispose of data. More than just implementing a system, you must ensure that it matches the needs of your business.

Six Mistakes To Avoid When Mapping Your Enterprise Data Landscape

Any organization that wants to make the most of its data needs to understand its data landscape clearly. Data mapping is essential to achieving this understanding, but it can be a complex task. There are several pitfalls that organizations need to avoid. Here are the six most common mistakes to avoid when data mapping your enterprise.

Understanding InfluxDB IOx and the Commitment to Open Source

If you’ve been following InfluxDB, you’ve probably heard of InfluxDB IOx, the next evolution of the storage engine powering InfluxDB Cloud. However, I wanted to learn more about how the open source components of the new engine help achieve the requirements for the new InfluxDB engine and why they were chosen. This post covers that precise topic. We’ll also learn why InfluxDB chose to contribute to these open source projects and what our commitment to open source looks like today.