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@wilfriedkoffi013-jpg started using tool Python , 1 day, 10 hours ago.
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@laura_garcia shared a post, 2 days, 23 hours ago
Software Developer, RELIANOID

🔒 How can you improve the high availability and performance of your firewalls?

We're sharing a diagram on Firewall Load Balancing, along with a link to our technical article that explains how it works, its benefits, and best practices. 👉https://www.relianoid.com/resources/knowledge-base/misc/what-is-firewall-load-balancing-fwlb/ #FirewallLoadBalancing#HighAvailability#NetworkS..

diagrama firewall load balancing RELIANOID
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@idjuric660 shared a post, 3 days ago
Technical Content Writer, Mailtrap

How to Send Emails in VS Code with Mailtrap MCP Server

Besides having an AI editor to help you develop projects, VS Code can now also generate and send emails in your stead. To do this, you simply need to integrate VS Code withMailtrap MCPand you’ll be able to send emails with a single prompt. And yes, this works for both Windows and macOS. First, we’ll..

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@wooch started using tool Kubernetes , 3 days, 18 hours ago.
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@ep_cloudengineer started using tool Google Cloud Platform , 3 days, 20 hours ago.
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@ep_cloudengineer started using tool Amazon Web Services , 3 days, 20 hours ago.
DOKS is a managed Kubernetes service that simplifies the deployment and scaling of Kubernetes clusters. It offers an intuitive approach, plethora of available tools, and integrates natively with other DigitalOcean services. DOKS enables you to focus on areas that truly differentiate your business while ensuring fast performance and control costs with automated adjustments to nodes in your cluster. The control plane has a 99.95% uptime SLA, while nodes and block storage have a 99.99% uptime SLA. DOKS is CNCF certified, which means you can migrate from any conformant clusters and can host hybrid-cloud workloads to avoid vendor lock-in. It also offers 1-Click Apps, GitOps, and other open-source tools to simplify deployment and management of Kubernetes workloads. DOKS pricing is simple and transparent, based on the resources required by your cluster.