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Troubleshooting Kubernetes Clusters as a Developer with Komodor

The container ecosystem is moving very fast and new tools designed specifically for Kubernetes clusters are introduced at a very fast pace. Even though several times a new tool is simply implementing a well-known mechanism (already present in the VM world) with a focus on containers, every once in a while we see tools that are designed from scratch rather than adapting a preexisting idea. One such tool is Komodor.

Announcing HAProxy 2.4

HAProxy 2.4 adds exciting features such as support for HTTP/2 WebSockets, authorization and routing of MQTT and FIX (Financial Information Exchange) protocol messages, DNS resolution over TCP, server timeouts that you can change on the fly, dynamic SSL certificate storage for client certificates sent to backend servers, and an improved cache; it adds a built-in OpenTracing integration, new Prometheus metrics, and circuit breaking improvements.

6 Ways Artificial Intelligence Improves Software Development

Artificial intelligence is transforming software development. From the code to the deployment, AI is slowly but surely upping its game and helping us discover a brand new paradigm for inventing technology. Algorithm-based machine learning is being used to accelerate the software development lifecycle and AI is supporting developers to optimize software workflow at every stage of the development process.

GitKraken v7.6: Hook a Warp Speed Drive To GitHub Pull Requests

Now you can interact with your GitHub pull requests directly from GitKraken We opened our hailing frequencies and heard your communications. Devs from across the galaxy have asked us to help increase the speed of their workflows and we are happy to report on some major activity in that quadrant. 🚀🌃🌠 Announcing GitKraken v7.6 You no longer have to leave the bridge GitKraken to work with your GitHub Pull Requests.

2 Ways to Integrate the Jaeger App with VMware Tanzu Observability Without Code Changes

In microservices architecture, to identify performance issues—including latency—it’s important to monitor each service and all inter-service communication. Jaeger and VMware Tanzu Observability can help. Jaeger is an open source, distributed tracing system released by Uber Technologies. VMware Tanzu Observability is a high-performance streaming analytics platform that supports 3D observability (e.g., metrics, histograms, and traces/spans).

Tanzu Mission Control Supports Lifecycle Management of Tanzu Kubernetes Clusters on VMware Cloud on AWS

We are very excited to announce a key integration between VMware Tanzu and VMware Cloud on AWS that provides a significantly enhanced experience for our customers who want to deploy, run, and manage Kubernetes in VMware Cloud on AWS. With this integration, VMware Tanzu Mission Control now supports full lifecycle management—provisioning, upgrading, scaling, and deleting—of Tanzu Kubernetes clusters deployed on VMware Cloud on AWS.

Augmented Reality in Pharma Industry: How the Game Changing?

Many industries have taken up Augmented Reality (AR) serious in order to increase production, sales and customer education. Organizations today are making use of several AR applications for multiple purposes to grab the attention of users. Surveys have predicted a vast growth in the AR VR markets in the near future as much money has been induced into the field. The application of AR technology is establishing a firm hold over the pharmaceutical industry as well.

Best practices for monitoring dark launches

A dark launch is a deployment strategy for testing new versions of a service in production. When running a dark launch, you deploy a new version of a service and route a copy of production traffic to it without returning responses to users. This lets you see how a new version of a service handles production load, watch for errors, and compare performance between the old and the new versions—without affecting users.

Redgate's roadmap for cross-database DevOps

At Redgate, we strongly believe that all databases should be managed and orchestrated in the same way, with the same standards of security and quality in releases. For the past few years, we’ve been leading the adoption of database DevOps by focusing on the most challenging parts of the process like version control, continuous integration and making deployments consistent, predictable and repeatable.