In today's cloud-centric landscape, managing and optimizing cloud resources efficiently is paramount for cloud engineers striving to balance performance and cost-effectiveness. By leveraging solutions like Tines and Elastic, cloud engineering teams can streamline operations and drive significant cost savings while maintaining optimal performance.

A recent Kubernetes Adoption Report showed that 68% of surveyed IT professionals adopted containers more during the pandemic. Among their goals were accelerating deployment cycles, increasing automation, reducing IT costs, and developing and testing artificial intelligence (AI) applications. But, what role does container technology play in this? This guide shares what containers are, how container orchestration works, and more.

Cloud cost management- Anomaly detection CloudSpend’s Zia framework, powered by AI, is designed to detect any unexpected spikes or irregularities in your cloud expenses. The Zia Anomaly Report aids in optimizing your cloud bills and protecting your cloud infrastructure from unforeseen issues. You have the option to share anomalies with your team through CSV, PDF, or email formats.

Lumigo has announced the addition of full log management capabilities into its microservices observability and troubleshooting platform, promising customers enormous savings while enabling automatic correlation between log data and distributed traces.

The results are in! Learn why Cisco Full-Stack Observability was recognized as a Leader in GigaOm Radar for Cloud Observability in 2024. I’m pleased to announce that Cisco Full-Stack Observability was recently recognized as a Leader in the 2024 GigaOm Radar for Cloud Observability.

From infrastructure and chipsets to data solutions and development tools, it’s clear that artificial intelligence will play a massive role in the future of the cloud. Read Justin Ryburn’s latest recap to learn about many of the exciting unveilings at Google Cloud Next 2024.

The biggest driver behind the Internet of Things (IoT) is the value that can be unlocked through data analytics. When you have hundreds, thousands, or millions of devices capable of reporting on an almost unlimited number of attributes, statuses, or environmental factors, the opportunity for businesses to create optimisations or brand new revenue streams is huge.

AWS’ Relational Database Service (RDS) is a pivotal component for businesses leveraging cloud technology for their database management needs. RDS simplifies a relational database’s setup, operation, and scaling, offering cost-efficiency while automating time-consuming administration tasks like hardware provisioning, database setup, patching, and backups. However, despite its benefits, navigating the cost structure of RDS to ensure efficient spending can be a complex task.

Document retention is a critical component of modern data governance, requiring meticulous strategy and precise execution. In today’s digital age, businesses are inundated with vast quantities of data, making effective document management not just advisable but essential. This is particularly true when considering the legal and compliance obligations that organizations must navigate.

As businesses increasingly migrate to the cloud, understanding the intersections of data transfer expenses is very important. In this article, we’ll break down what Azure Data Transfer Costs entail, explore various types of data transfers, explore Azure Bandwidth pricing, identify the possible factors influencing data transfer costs, and some strategies for optimizing expenses.