Based on our record, Google Kubernetes Engine seems to be a lot more popular than Sysdig. While we know about 49 links to Google Kubernetes Engine, we've tracked only 3 mentions of Sysdig. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Sysdig is an innovative DevOps AI tool that leverages AI and machine learning to enhance DevOps operations across containerized environments. It works through multiple integrated mechanisms to provide comprehensive monitoring and security by providing runtime threat detection through continuous monitoring, automated vulnerability scanning of operating systems, applications, and libraries, resource optimization... - Source: dev.to / about 2 months ago
Sysdig is a leading container monitoring and security technology that provides detailed visibility into containerized environments. Sysdig provides Docker monitoring, security, and forensics technologies that allow you to obtain a comprehensive understanding of containers, manage vulnerabilities and security risks, and troubleshoot and do forensic analysis. Sysdig provides sight within your containers from the... - Source: dev.to / about 1 year ago
For metrics and cloud-native workloads sysdig is a nice solution. Source: about 3 years ago
Integration with Google Kubernetes Engine (GKE), which supports up to 65,000 nodes per cluster, facilitating robust AI infrastructure. - Source: dev.to / about 1 month ago
In my previous post, we explored how LangChain simplifies the development of AI-powered applications. We saw how its modularity, flexibility, and extensibility make it a powerful tool for working with large language models (LLMs) like Gemini. Now, let's take it a step further and see how we can deploy and scale our LangChain applications using the robust infrastructure of Google Kubernetes Engine (GKE) and the... - Source: dev.to / 3 months ago
Kubernetes cluster: You need a running Kubernetes cluster that supports persistent volumes. You can use a local cluster, like kind or Minikube, or a cloud-based solution, like GKE%20orEKS or EKS. The cluster should expose ports 80 (HTTP) and 443 (HTTPS) for external access. Persistent storage should be configured to retain Keycloak data (e.g., user credentials, sessions) across restarts. - Source: dev.to / 5 months ago
In a later post, I will take a look at how you can use LangChain to connect to a local Gemma instance, all running in a Google Kubernetes Engine (GKE) cluster. - Source: dev.to / 7 months ago
Google Kubernetes Engine (GKE) is another managed Kubernetes service that lets you spin up new cloud clusters on demand. It's specifically designed to help you run Kubernetes workloads without specialist Kubernetes expertise, and it includes a range of optional features that provide more automation for admin tasks. These include powerful capabilities around governance, compliance, security, and configuration... - Source: dev.to / 11 months ago
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Snyk - Snyk helps you use open source and stay secure. Continuously find and fix vulnerabilities for npm, Maven, NuGet, RubyGems, PyPI and much more.
Amazon ECS - Amazon EC2 Container Service is a highly scalable, high-performance container management service that supports Docker containers.
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.
Trend Micro Deep Security - Excellent hybrid cloud security doesn't require your business to sacrifice operational performance. Trend Micro lets you keep business moving securely.