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Navigating Software Selection: Unleashing the Power of Scenario Planning and Node Analysis

Node Analysis and Scenario Planning are invaluable tools for strategic software selection. They empower organizations to anticipate and prepare for a multitude of future scenarios and their potential impacts. When it comes to selecting a software vendor, these approaches enable organizations to comprehensively assess a wide range of possible futures and evaluate the performance of each software vendor's solution under various conditions.

5 Green tech companies to watch in London 2024

From Oddbox to MULTUS, London has always been fertile ground for companies changing those fundamental relationships to food, fashion and energy for the better. And as a London-based start-up focussed on cutting the cloud industry’s carbon, we’re more than happy to share this city with some of green and climate tech’s leading lights. The five green techs below are who we’re most excited to follow into 2024 and beyond.

Google Workspace vs. Microsoft 365: Which One Is Best for Businesses?

Over the last several years, using local storage for company files has fallen out of favor. Managed cloud services and cloud-based applications allow greater flexibility, remote access to data, and typically lower and more predictable costs for the customer. Businesses comparing either Google Workspace vs. Microsoft 365, two of the most popular cloud-based productivity suites on the market, will have these benefits, but there are some finer details that should be considered.

Track and alert on Amazon CloudWatch Network Monitor metrics with Datadog

Amazon CloudWatch Network Monitor, available as part of Amazon CloudWatch, is a network monitoring service that enables you to create customizable monitors for your network connectivity from AWS to on-premises infrastructure via AWS Direct Connect (DX).

The top 5 limitations of taking a tactical cloud cost management approach to FinOps

Management of cloud costs is a business imperative. Many organizations are embracing cloud financial operations, or FinOps, to help them reduce and manage cloud spend. Typically, at least initially, FinOps practitioners focus on gaining a picture of their cloud environment and the associated cost of their cloud resources. They then utilize these reports to implement cost-cutting measures, such as right-sizing instances, removing unused resources, adjusting instance uptime, or purchasing commitment plans.

Securing Credentials for GitOps Deployments with AWS Secrets Manager and Codefresh

GitOps is a set of best practices that build upon the foundation of Infrastructure As Code (IAC) and expand the approach of using Git as the source of truth for Kubernetes configuration. These best practices are the driving force behind new Kubernetes deployment tools such as Argo CD and Flux as well as the Codefresh enterprise deployment platform. Adopting GitOps in a Kubernetes environment is not a straightforward task when it comes to secret management.

Azure Pay as You Go Vs Reserved Instances

When dealing with public cloud computing, deciding to reserve or pay-as-you-go for your resources is generally seen as a strategic chess move – it requires foresight, planning, and a clear understanding of your organization’s needs. In this article, we’ll browse through the nuances of this decision-making process, exploring overviews, benefits, limitations, pricing considerations, break-even points, and ultimately, as a desired outcome, reaching a well-informed conclusion.

Azure Cost Reporting to boost cloud resilience and reduce costs

Managing costs within your Azure datacenter is a crucial aspect of ensuring efficiency and optimizing resources. The Azure portal has Azure Cost Management Reports embedded, offering a detailed lens into your cloud spending. In this article, we’ll explore the ins and outs of these reports, their key metrics, best practices, and how to generate and interpret cost reports.

What Is AWS Graviton? Here's When To Use It

When Amazon Web Services (AWS) launched its new Arm-based processors, some circles believed it was a game-changer for the public cloud markets. To begin with, it was the first time Arm architecture would roll out for enterprise-grade utility, and at a colossal scale. Arm processors had only run on smaller, less demanding devices such as iPhones. So why adopt it for much more demanding workloads in cloud services?