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Cloud-native technology has been changing the way payment services are architected. In 2020, I presented a series with insights from real implementations adopting open-source and cloud-native technology to modernize payment services. The architectures presented were based on open-source cloud-native technologies, such as containers, microservices, and a Kubernetes-based container platform.
Without native log support, overhead and complexity grow OpenTelemetry, the Cloud Native Computing Foundation (CNCF) incubating project, introduced standards that enable companies to instrument, generate, and export telemetry data. When combined with out-of-the-box correlation, such telemetry data provides context-rich observability. Dynatrace has supported the OpenTelemetry project for years as a key contributor and contributed to its rise to a popular open source observability framework for cl
This article started life as a Twitter thread , but I felt it needed a more permanent spot. You should follow me on Twitter if you aren’t already. I’ve been asked a few times—mostly in workshops —why HTTP/2 (H/2) waterfalls often still look like HTTP/1.x (H/1). Why are hings are done in sequence rather than in parallel? Let’s unpack it! Fair warning, I am going to oversimplify some terms and concepts.
We have released Dynatrace Managed version 1.270. To learn what’s new, have a look at the release notes. The post Dynatrace Managed release notes version 1.270 appeared first on Dynatrace news.
In an era where sustainable practices are more important than ever, the selection of programming languages has shifted to include factors such as environmental impact alongside performance, ease of use, and scalability. Rust has emerged as a standout choice in this context, driving us toward a greener future in programming. This article will delve into Rust's potential for a sustainable future, the hurdles to its adoption, and strategies for a successful transition to Rust.
>> Scroll down to see predictive capacity management in action (14-second video) Our recent blog post, Stay ahead of the game: Forecast IT capacity with Dynatrace Grail and Davis AI , showed how Dynatrace Notebooks are used to predict the future behavior of time series data stored in Grail™. This follow-up post introduces Davis ® AI for Workflows , showing you how to fully automate prediction and remediation of your future capacity demands.
Artificial Intelligence: Definition and Practical Applications Artificial intelligence (AI) refers to the development of computer systems that can perform tasks that typically require human intelligence. It involves the creation of algorithms and models that enable machines to perceive and interpret information, reason, make decisions, learn from data, and interact with their environment.
Dynatrace introduced the Dynatrace Operator, built on the open source project Operator Framework, in late 2018. The Dynatrace Operator enables the deployment, configuration, maintenance, and upgrade of Dynatrace full stack observability in Kubernetes and Red Hat OpenShift clusters. We’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Power arch
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Dynatrace introduced the Dynatrace Operator, built on the open source project Operator Framework, in late 2018. The Dynatrace Operator enables the deployment, configuration, maintenance, and upgrade of Dynatrace full stack observability in Kubernetes and Red Hat OpenShift clusters. We’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Power arch
There’s a lot of angst about software developers “losing their jobs” to AI, being replaced by a more intelligent version of ChatGPT, GitHub’s Copilot, Google’s Codey, or something similar. Matt Welsh has been talking and writing about the end of programming as such. He’s asking whether large language models eliminate programming as we know it, and he’s excited that the answer is “yes”: eventually, if not in the immediate future.
As teams conduct forensic investigations into the MOVEit Transfer vulnerability, many are finding they can’t conclusively determine their exploitation status. This uncertainty is because they may not have collected enough logs, or the logs don’t contain enough information. When working with logs originating from an out-of-the-box software such as Progress MOVEit Transfer, we can’t do much.
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