Recently, AWS announced the general availability (GA) of its fully-managed application delivery service, AWS Proton, allowing customers to easily provision, deploy, and monitor the microservices that form the basis of modern container and serverless applications.
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At WWDC21 Apple announced Xcode Cloud, a continuous integration and delivery (CI/CD) system to help developers build, test, and distribute apps. Still in beta, Xcode Cloud supports both releasing to TestFlight and on the App Store.
A recent Software Delivery Leadership Forum panel discussion shared approaches and tactics for creating a successful DevOps culture. The panel stressed the importance of an aligned culture around the DevOps adoption. This includes setting strategic organizational goals, cultivating psychological safety, and treating your culture as a product.
In a recent keynote for The DEVOPS Conference, Cheryl Hung, VP Ecosystem for the Cloud Native Computing Foundation (CNCF) shared her top 10 predictions for cloud native in the upcoming year. This includes improvements in cross cloud support, growth in GitOps and chaos engineering practices, and an increase in the adoption of FinOps.
HashiCorp has moved Consul-Terraform-Sync (CTS) into full general availability. CTS allows for the definition of tasks as Terraform modules that can be run as services are added or removed from Consul. CTS is part of a solution called Network Infrastructure Automation (NIA) which focuses on automating day two network tasks such as updating load balancer pools or firewall policies.
Amazon Web Services (AWS) recently introduced Amazon DevOps Guru, one of several new machine learning-driven services. DevOps Guru detects operational issues, generates reports and notifications, and offers insights and recommendations on how to take action.
Is the rapid pace of continuous rollouts making it too easy for your organization to cut corners when it comes to ensuring product source code is secure? You may need to reorient your team culture to adopt agile-friendly security processes. True collaboration between security and dev teams is the key to avoiding product vulnerabilities without compromising on your sprint cadence.
AIOps platforms empower IT teams to quickly find the root issues that originate in the network and disrupt running applications. AI/ML algorithms need access to high quality network data to determine what went wrong and where. Network visibility starts from TAPs around network equipment, and teams can add application instrumentation and logs as data sources for complete insights.