Curated articles, resources, tips and trends from the DevOps World.
Hello Readers, In today’s blog I am going to show you How can you setup a Load Balancer (HAproxy) to balance the traffic on webservers. I am showing this practical on my local system. Before starting practical part, Let me tell you what is Load Balancer and Why we need it.
Software development can either focus on providing a general solution across the industrial verticals or can be tailored according to the needs of the clients.
We are pleased to announce that HashiCorp Vault is now generally available as a fully managed service for AWS environments on the HashiCorp Cloud Platform (HCP).
When it comes to container orchestration, the first thing that comes to mind is “Kubernetes” but now OpenShift is the one who is dominating. It is not like that we should stop using Kubernetes, as nothing can beat Kubernetes in the container world.
As your organization’s reliability needs grow, you may consider investing in SRE tools. Tooling can make many processes more efficient, consistent, and repeatable. When you decide to invest in tooling, one of the major decisions is how you’ll source your tools.
DataStax sponsored this post. Kubernetes is everywhere. Transactional apps, video streaming services and machine learning workloads are finding a home on this ever-growing platform.
So you’ve chosen to pursue a career in cloud infrastructure and development. Or maybe you’re leaning that way. It’s a major decision, but not the only one you’ll have to make.
A new application of IoT that has emerged is DPM, which is the digitization of the management of any operational asset or process from the perspective of its performance. IoT technology and the ecosystem built around it have given us real-time insights into the physical or operational world.
Cybercriminals are evolving in parallel to technological advancements and there’s a dire need for organizations to adopt effective cybersecurity strategies. Cybercriminals are following businesses as they are moving towards digital space.
Today, Machine Learning powers the top 1% of the most valuable organizations in the world (FB, ALPH, AMZ, N etc). However, 99% of enterprises struggle to productionalize ML, even with the possession of hyper-specific datasets and exceptional data science departments.
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