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Cloud

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

How to Achieve AWS, Azure, or GCP Observability at Scale

The adoption of multi-cloud is on the rise among enterprises. However, major cloud providers including AWS, Azure, GCP, or VMware Cloud on AWS are different and monitoring across diverse cloud environments is not easy. Learn what metrics should you as DevOps or SRE engineer observe on each of the major cloud providers. Also, learn why is Tanzu Observability by Wavefront essential for unified, full-stack, multi-cloud observability, and analytics.

InfluxDB Cloud extends to Microsoft Azure Cloud - now available on all major cloud platforms

SAN FRANCISCO — July 22, 2020 — InfluxData, creator of the time series database InfluxDB, today announced that InfluxDB Cloud is now available on Microsoft Azure, furthering the company’s commitment to increase accessibility to developers. With this announcement, InfluxDB Cloud is now live on all three major cloud platforms — Microsoft Azure, Google Cloud and Amazon Web Services.

AWS Fargate pricing: how to optimize billing and save costs

AWS Fargate is a managed service that enables you to run containers in Amazon Elastic Kubernetes Service (EKS) or Elastic Container Service (ECS). Since Fargate is serverless, you don’t need to provision or manage servers or clusters. However, you do need to set up package containers, define resource requirements, and configure permissions and networking policies. Fargate pricing is determined according to virtual CPUs (vCPUs) requirements, as well as usage of GBs of RAM for running services.

Up and running with Calico Host Micro-segmentation on AWS

In this online training, we will explain how to install and configure Calico on AWS VMs to apply network policy to resources outside your K8s cluster. The talk will be primarily a walkthrough and demo and you will receive all manifests and instructions to do the demo on your own after the session.

Monitor Azure Functions With the Simplicity of AppOptics

Managing servers isn’t always the most effective way to run an application. With serverless computing, teams can deploy applications directly to managed hardware, scale them on demand, and avoid the overhead of provisioning and maintaining their own infrastructure. As many as 40% of companies surveyed by DevOps.com use serverless computing. And serverless platforms like Azure Functions make deploying serverless questions quick and easy.

What Is Serverless Architecture?

Serverless has been around for a minute now but it’s safe to say that it’s still in its infancy in 2020 and definitely has a long way to go. But serverless architecture is a major step away from to dependence on humans and towards reliance on machines. Are the machines already talking over? Not literally the “Terminator” movie scenario quite yet but is this the beginning of the end of an era in the world as we know it?

Automated Containerization and DevOps Solution for a Leading Agro and Dairy Producer.

A quick video on how CloudHedge containerized the PHP Application with LAMP stack hosted on legacy CentOS 5.11 and deployed on a Kubernetes production cluster for a leading agro and dairy producer in India. Apart from the application containerization, the following set of DevOps activities were also executed in the same timeline.

Implementation of DevOps and Transformation of a .Net Framework to .NetCore for a Banking ISV

The client is a leading consulting company catering to Banking ERP Solution & ERPs for Sugar, Dairy & Spin Mills. With a proven track record of servicing to 150+ bank and credit societies in India, the client is looking to expand and enhance their offering which caters to financial institutions in India. CloudHedge suggested migration of .Net Framework to .NetCore and implement DevOps solutions to drive efficiency, high-quality code deployments, and scale at demand.

Good Catch: Cloud Cost Monitoring

Aside from ensuring each service is working properly, one of the most challenging parts of managing a cloud-based infrastructure is cost monitoring. There are countless services to keep track of—including storage, databases, and computation—each with their own complex pricing structure. Monitoring cloud costs is quite different from other organizational costs in that it can be difficult to detect anomalies in real-time and accurately forecast monthly costs.