The latest News and Information on DevOps, CI/CD, Automation and related technologies.
I caught the tail-end of a Twitter thread the other day which centred around the use of Slack channels for incidents, and whether creating a new channel for each new incident is helpful or harmful. It turns out this is a much more evocative subject than I thought, and since I have opinions I thought I’d share them!
In 2018, Honeycomb co-founder & CTO Charity Majors wrote a blog post titled, “An Engineer’s Bill of Rights (and Responsibilities).” We’ve recently updated and reposted it.
Cloud has become the de facto way to build infrastructure, meaning cloud providers end up in charge of a significant amount of the apps we use every day. From the likes of Netflix, Slack, Ring and Doordash running on AWS or PayPal, Twitter and HSBC on GCP, it's easy to see how impactful a failure of any type can be. Let's look at some of the issues that have happened recently that have led business to consider how dependent they are on a single provider.
This is the second tutorial in a two-part series. You can also learn how to automate AWS Lambda function deployments to AWS CDK.
What is AIOps? How does an AIOps platform help your observability practice? AIOps platforms analyze telemetry and events, and identify meaningful patterns that provide insights to support proactive responses. AIOps platforms have five characteristics:1 The above is Gartner’s definition and is part of the Gartner® “Market Guide for AIOps Platforms.” The Gartner definition is also aligned with our view.
The current trend to move to Zero Trust security architectures using the mantra “Never Trust, Always Verify” is a move that Teneo has long supported. The simple fact is that the traditional castle and moat approach to security built on VPNs is not fit for purpose in the modern world with hybrid users and infrastructures.
We are happy to announce that Charmed Kubeflow 1.6 is now available in Beta. Kubeflow has evolved into an end-to-end MLOps platform for optimised complex model training. We’re looking for data scientists, ML engineers and developers to take the Beta release for a drive and share their feedback! Read on to learn more.