Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Cloud monitoring, security and related technologies.

Migrating and Optimizing Data Pipelines from Snowflake to Azure Databricks

This episode features a discussion between Lex and Henry Clavo, focusing on data migration and automation processes, particularly involving Snowflake and Azure Databricks. Henry shares his background in data analytics and consulting, detailing his experience with large-scale data migrations and the challenges faced in the industry. Timestamps.

Effective Data Backup And Recovery Solutions For Your Small Business

For small businesses, maintaining data integrity is critical. The loss of essential files can lead to downtime, financial setbacks, and reputational damage. Unexpected events can erase years of work in seconds, leaving businesses scrambling to recover. Without a structured approach to data protection, retrieving lost information may be costly or even impossible. Read on to explore effective data backup and recovery solutions tailored to keep your small business secure and operational.
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Bunnyshell: The Best Qovery Alternative for Modern Cloud Deployment

When it comes to automating DevOps processes and managing cloud environments, both Bunnyshell and Qovery have gained significant traction. While both platforms provide multi-cloud deployment, automation, and developer-friendly interfaces, there are key differences between the two. Bunnyshell offers several advanced features that make it a standout alternative to Qovery, particularly for teams seeking more control, flexibility, and efficiency in managing their cloud environments.

The SaaS Magic Number: How To Calculate And Use It

You can assess your company’s financial health using a number of SaaS metrics, depending on the type of business you are in. Among the most useful is the SaaS Magic Number. So, why is it called the SaaS Magic Number, and how do you calculate it? And why is it so important to track your SaaS Magic Number regularly?

Tidal's Integrated Suite: The Future of Cloud Migration

Cloud migration is a rapidly growing market, projected to reach $1.3 trillion in 2025 (Gartner). Yet, 74% of migrations exceed budget and timeline expectations (IDC). Why? Because cloud migration isn’t just a technical shift—it’s a strategic business transformation requiring coordinated planning across applications, infrastructure, networks, and finances.

Monitor the performance of queues and topics with Azure Service Bus

Azure Service Bus is a fully managed enterprise message broker that enables asynchronous messaging between distributed applications. It is designed to decouple application components, allowing them to communicate reliably, securely, and at scale. With Datadog’s Azure Service Bus integration, you can.

How to prevent performance bottlenecks in Google Compute Engine: CPU spikes, RAM waste, and network overload

Cloud computing is all about efficiency. You need to get the most out of your resources without overspending or causing performance issues. For example, if you’re running virtual machines in Google Compute Engine, you need to size your instances correctly, optimize your workloads, and monitor your network traffic to prevent unexpected failures. However, when resources aren’t properly managed, things can quickly spiral out of control.

A Guide To GCP Regions (And How They Affect Your Costs)

Google Cloud Platform (GCP) launched in April 2008 with Google App Engine. This developer-centric Platform as a Service (PaaS) offering allowed developers to build and host web applications on Google’s cloud infrastructure. Initially, App Engine only supported Python, but in 2009, Google added Java support, offering more programming flexibility. In 2010, GCP expanded further with Cloud Storage, its second major cloud product.

Your guide to cloud modernization: from basics to best practices

Being in the cloud is table stakes in 2025, and simply lifting and shifting workloads to the cloud barely scratches the surface of what's possible. Yet many engineering teams find themselves managing glorified data centers in the cloud—missing out on key capabilities like auto-scaling, serverless computing, and cloud-native security features. Cloud modernization is the true game-changer for turning legacy systems into agile, scalable architectures.