Operations | Monitoring | ITSM | DevOps | Cloud

Analytics Plus webinar: 4 ways you're draining IT resources

Is your service desk bogged down by avoidable performance issues? Most IT teams experience hidden inefficiencies that diminish the impact of improvement strategies, and a service desk is no exception. Often overlooked, as they don't immediately impact outcomes, these misdirected efforts often impact service desk operations, drain resources, and dampen user productivity. By assessing and refining its operations, organizations can tackle significant challenges to transform IT procedures and policies.

Why Data Warehouse Consulting Services Are Vital for Big Data Analytics?

A well-designed data warehouse enables organizations to store, manage, and analyze vast amounts of data. However, implementing and maintaining a data warehouse is a complex task that requires specialized expertise. This is where data warehouse consulting comes in. Selecting the right consulting partner can be the difference between success and failure in your data warehousing project.

Tech Solutions for Businesses on Improving Their Operations

In today's fast-paced world, staying ahead in business requires more than just hard work. The right technology can streamline operations, increase efficiency, and give you an edge over your competitors. However, with so many tech solutions available, it can be overwhelming to determine which ones will truly benefit your business. In this blog post, we'll explore practical and innovative tech tools that can help you enhance your operations and drive growth.

How to Get Started with a Security Data Lake

Modern SecOps teams use Security Information and Event Management (SIEM) software to aggregate security logs, detect anomalies, hunt for threats, and enable rapid incident response. While SIEMs enable accurate, near real-time detection of threats, today's SIEM solutions were never designed to handle the volume of security data organizations generate daily. As daily log ingestion grows, so do the costs of data management.

Bonus Myth of Apache Spark Optimization

In this blog series we’ve examined Five Myths of Apache Spark Optimization. But one final, bonus myth remains unaddressed: Bonus Myth: I’ve done everything I can. The rest of the application waste is just the cost of running Apache Spark. Unfortunately, many companies running cloud environments have come to think of application waste as a cost of doing business, as inevitable as rent and taxes.

PID Controllers and InfluxDB: Part 2 - Digital Twin

In a previous post, we described a CSTR and a PID controller. This post will cover the code and architecture of the digital twin from this project repo. The project leverages Kafka for data streaming, Faust for data processing, InfluxDB for storing the time series data, and Telegraf for writing data from the topic to InfluxDB. We’ll also cover the advantages and disadvantages of this stack.

Data Storage Evolution from Early Commodore to Cloud-Based Storage

Today, most people have SSDs and use cloud storage to keep their data connected on all devices. However, do you ever wonder how we came to possess such sophisticated technology? In order to understand how we got to the era of SSD and cloud, we must take a step back and remember all the solutions we used before. With that in mind, here's a brief story of data storage evolution from early commodore to cloud-based storage.

Azure Reserved Instances - Your Ultimate Guide

If your business has predictable compute workloads and wants to save on Azure spend, Azure Reserved Instances can make you the FinOps department’s new favorite person. But we’re getting ahead of ourselves. Before we tell you how you can start saving on your cloud spend, let’s define a few terms.

Unleash Savings and Scalability with Aiven for Apache Kafka

Tiered Storage reduces storage costs, increases operational flexibility, and provides unlimited data retention scalability Aiven announces the general availability of Tiered Storage in Aiven for Apache Kafka. Tiered storage enables Apache Kafka to seamlessly move older, less frequently accessed data to a lower cost storage tier within Kafka. This enables infinite data retention while substantially reducing storage costs and improving performance and operational efficiency.