Curated articles, resources, tips and trends from the DevOps World.
Threat modelling is a process for identifying potential threats to an organization's network security and all the vulnerabilities that could be exploited by those threats. Most security protocols are reactive - threats are isolated and patched after they've been injected into a system.
While having a mature digital enterprise helped organizations to better survive – and even thrive, in some cases – the pandemic, that’s not the primary reason why organizations will continue to invest in their digital transformation efforts.
Misconfigurations are a major security concern when running business applications in the public cloud. Errors in how infrastructure, applications and policies are set up can have significantly different impacts, but they all get labeled under the heading of “misconfiguration.”
The majority of most of the industrial use cases have leveraged Elasticsearch for observability of the high volume user traffic or server-side interactions. Introduction Elasticsearch clusters have been around for a while, scaling petabytes of data & billions of requests.
Sponsored Post. Developing an AI or a ML model is not a child’s play. It requires lot of knowledge and skills with enriched experience to make the model work successfully in multiple scenarios.
Cloud Native Computing Foundation sponsored this post, in anticipation of KubeCon+CloudNativeCon Europe 2021 – Virtual, May 4-7.
In Kubernetes, controllers of the control plane implement control loops that repeatedly compare the desired state of a cluster with its actual state. Before introducing Nebula Operator, you should know what the Operator is. An Operator aims to package, deploy, and manage Kubernetes applications.
Stefan Pracht Stefan Pracht is Senior Vice President for Product Marketing with Axellio, a solution provider for threat detection and response solutions.
Go to: , covering the pitfalls of code.
In a data-driven society, organizations rely heavily on sets of metrics to evaluate how they’re doing on a particular task, initiative or resource allocation. Metrics are particularly important to DevOps teams, whose very function is tied to concepts like collaboration and continuous improvement.
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