The theme I wish to explore in this year’s series of blog posts is how to be a better salesperson and how to build a better sales model. Each month I will explore a particular sales struggle that may be impacting your sales success and provide a few insights and actionable strategies that can be implemented to help you or members of your sales team overcome these challenges so that you can become more effective in your role.

In today’s data-driven landscape, every organization knows the immense value their data holds, but with the explosion of data from diverse sources, traditional data storage and management solutions are proving inadequate. Organizations are urgently seeking new ways to handle their data effectively.

Managing application updates in production and ensuring the reliability of software releases in Kubernetes environments can be challenging. Small changes can sometimes lead to unforeseen issues in production. These unexpected problems, combined with the lack of scalability and the high costs associated with managing complex solutions, can be daunting.

In an exciting development for cloud optimization and service delivery, 2bcloud proudly announces its recent recognition as part of the esteemed AWS Graviton Service Delivery Program. This notable achievement distinguishes 2bcloud as a leading cloud Managed Service Provider (MSP) with proven expertise and success in leveraging AWS Graviton for delivering superior cloud solutions.

One of the biggest challenges that cloud service providers (CSPs) face these days is to deliver an extension of the public cloud they host to a small-scale piece of infrastructure that runs on customers’ premises. While the world’s tech giants, such as Amazon or Azure, have developed their own solutions for this purpose, many smaller, regional CSPs rely on open source projects like OpenStack instead.=

As data keeps growing at incredible rates, it’s becoming increasingly difficult to store and monitor at a reasonable cost leaving you to cherry-pick which data to store. As developers are accustomed to integrating metrics within their logs and spans, this can result in poor monitoring & analysis, alert fatigue, and longer MTTR. Teams are left having to dig out the most relevant data, which results in missed trends and analysis.

Every software-driven business strives for optimum performance and user experience. Observability—which allows engineering and IT Ops teams to understand the internal state of their cloud applications and infrastructure based on available telemetry data —has emerged as a crucial practice to help engage this process. For years, application performance monitoring (APM) was the de facto practice and tooling that organizations have used to keep tabs on their critical systems.

AWS Elastic Beanstalk streamlines the deployment and management of applications in the cloud, offering developers an easy way to deploy services without worrying about the underlying infrastructure. However, while it simplifies many aspects of cloud deployment, it also presents challenges, including limited customization and potential vendor lock-in, which might not suit all project needs or scalability requirements.

I wish someone had told me that I shouldn’t hop between frameworks. Just like learning four programming languages in your first year, in my experience spending time content switching as a beginner is wasted effort. If I’d spent a solid year learning how to deploy services on AWS, then when it was time to learn Azure, I’d see more similarities than differences and find it a lot easier to pick up a second public cloud.

Whether you are a developer, an IT professional, or a tech leader in your organization, AWS Fargate promises to make provisioning, configuring, and managing your containers’ servers easier. AWS Fargate is like that cool gadget you didn’t know you needed – it’s nifty, powerful, and a bit mysterious. In this post, we’re unraveling the mystery, including what Fargate is, its key features, and how it stacks up in terms of pricing and performance for serverless computing.