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The rapid evolution of cloudtechnology continues to shape how businesses operate and compete. This year’s AWS re:Invent will showcase a suite of new AWS and Dynatrace integrations designed to enhance cloud performance, security, and automation.
And with cloud-native databases like PostgreSQL and MySQL, the complexity only grows. Their technology provides expert-level recommendations for SQL statements, vector search queries, indices, and database schemas, along with automated remediation actions. That’s why I’m thrilled to welcome Metis to Dynatrace.
Dynatrace has announced that it has successfully achieved the Google Cloud Ready – Cloud SQL designation for Cloud SQL, Google Cloud’s fully-managed, relational database service for MySQL, PostgreSQL, and SQL Server.
The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. New cloud-native technologies make observability more important than ever….
These are two values he shares with DevOps activist Andreas Grabner, who sat down with Hightower at Dynatrace Perform 2022 to talk about taming Kubernetes and the future of cloud-native technologies. Kelsey Hightower and Andreas Grabner discuss the future of cloud-native technologies appeared first on Dynatrace blog.
Cloud-native technologies, including Kubernetes and OpenShift, help organizations accelerate innovation. Open source has also become a fundamental building block of the entire cloud-native stack. Why cloud-native applications, Kubernetes, and open source require a radically different approach to application security.
Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Dynatrace news. All log streams from pods in Kubernetes environments.
By Xiaomei Liu , Rosanna Lee , Cyril Concolato Introduction Behind the scenes of the beloved Netflix streaming service and content, there are many technology innovations in media processing. Our previous tech blog Packaging award-winning shows with award-winning technology detailed our packaging technology deployed on the streaming side.
Training: We created easy-to-provide feedback using and with a fully integrated fine-tuning loop to allow end-users to teach new domains and questions around it effectively. LORE also provides a confidence score to our end users based on its grounding in the domainspace.
This allows teams to extend the intelligent observability Dynatrace provides to all technologies that provide Prometheus exporters. Without any coding, these extensions make it easy to ingest data from these technologies and provide tailor-made analysis views and zero-config alerting. documentation.
Nowadays, many performance testers with many years of experience in IT have a lot of confusion and are still confused about the technologies they worked with and were used in their projects for years. and must have extensive experience in specialized skills. and must have extensive experience in specialized skills.
Scale : Distributed teams managing a myriad of applications built on heterogeneous technology stacks across the globe need autonomy and closer collaboration. Dynatrace launches Cloud Automation module for development, DevOps & SRE teams. Resilience : Critical production business systems must not fail.
Challenges The cloud network infrastructure that Netflix utilizes today consists of AWS services such as VPC, DirectConnect, VPC Peering, Transit Gateways, NAT Gateways, etc and Netflix owned devices. IP addresses within the cloud can move from one EC2 instance or Titus container to another over time.
Dynatrace Cloud Native Full Stack injection for Kubernetes, now officially released, provides unparalleled flexibility and scale for onboarding teams to AI-powered observability. The foundation of this flexibility is the Dynatrace Operator ¹ and its new Cloud Native Full Stack injection deployment strategy. Dynatrace news.
We’ve worked closely with our partner AWS to deliver a complete, end-to-end picture of your cloud environment that includes monitoring support for all AWS services. Full integration with existing Dynatrace capabilities for AWS Lambda (for example, metric ingestion via AWS Cloud Watch). Dynatrace news. and Python via traces.
Cloud Run brings serverless to containers. You can run containers on Cloud Run for Anthos for consistency between on-prem and cloud environments, or in fully managed Cloud Run environments. Run custom-built images as containers at scale with Google Cloud Run. Dynatrace news. NET Core , Golang , Node.js , and PHP.
If cloud-native technologies and containers are on your radar, you’ve likely encountered Docker and Kubernetes and might be wondering how they relate to each other. In a nutshell, they are complementary and, in part, overlapping technologies to create, manage, and operate containers. Dynatrace news. Why containers?
While distributed cloud-native applications improve operational stability and business agility, the increased risks of an attack have made them less secure. Securing cloud applications requires a layered approach. How RASP capabilities complement other cloud security approaches. Not scalable in cloud-native environments.
DevSecOps initiatives aren’t rooted in a specific technology. Operations refers to the processes of managing software functionality throughout its delivery and use life cycle, including monitoring system performance, repairing defects, testing after updates and changes, and tuning the software release system. What is DevSecOps?
OTel Demo telescope image] The OpenTelemetry demo application is a cloud-native e-commerce application made up of multiple microservices. Traces, metrics, and logs are already well covered, but interesting enhancements are being made frequently, so stay tuned.
It feels like just yesterday DevOps was all the rage, and everything had to be “Cloud” in order to be modern. But what made organizations adopt these techniques and technologies? First of all, I suggest that you fill in the Dynatrace Autonomous Cloud Survey and see how you stack up against your peers.
That’s because over the past several years, financial services firms have become more innovative in their use of technology. Digital trends such as open banking and embedded payments and their supporting cloud-native technology stacks have driven this resourcefulness. with regulations such as PRA SS1/21.
Traditional debugging approaches, logs, and occasional remote breakpoint instrumentation cant easily keep pace with cloud-native AI deployments, where performance, compliance, and costs are all on the line. How can you gain insights that drive innovation and reliability in AI initiatives without breaking the bank?
Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. Have a look at the full range of supported technologies. Stay tuned for updates. Dynatrace news. New to Dynatrace?
As companies accelerate digital transformation, they implement modern cloudtechnologies like serverless functions. According to Flexera , serverless functions are the number one technology evaluated by enterprises and one of the top five cloudtechnologies in use at enterprises.
Stefano started his presentation by showing how much cost and performance optimization is possible when knowing how to properly configure your application runtimes, databases, or cloud environments: Correct configuration of JVM parameters can save up to 75% resource utilization while delivering same or better performance!
Our first version is available to customers in the Intel Tiber AI Cloud as a preview for the Intel Data Center GPU Max Series (previously called Ponte Vecchio). I know of companies where flame graphs are a daily tool that developers use to understand and tune their code, reducing compute costs. Why is AI profiling hard?
Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. However, there can be drawbacks to using too many different languages and technologies.
In this latest trends report, we analyze the most popular cloud providers for PostgreSQL, VACUUM strategies, query management strategies, and on-premises vs. public cloud use being leveraged by enterprise organizations. Most Popular Cloud Providers for PostgreSQL Hosting. of PostgreSQL cloud use compared to 55.0%
Compare ease of use across compatibility, extensions, tuning, operating systems, languages and support providers. You can compare all of their license costs in their Oracle Technology Global Price List. Cloud Deployments. Can be deployed on any cloud provider, with a variety of PostgreSQL hosting solutions available.
As organizations plan, migrate, transform, and operate their workloads on AWS, it’s vital that they follow a consistent approach to evaluating both the on-premises architecture and the upcoming design for cloud-based architecture. Seamless monitoring of AWS Services running in AWS Cloud and AWS Outposts. Stay tuned.
As organizations continue to modernize their technology stacks, many turn to Kubernetes , an open source container orchestration system for automating software deployment, scaling, and management. By implementing Akamas, organizations can see a 60% reduction in application demand for cloud services while maintaining the same app performance.
Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.
We covered it all from cloud observability , infrastructure , application security , and beyond. Cloud Innovation Award, NORAM. In a world where innovation is everything, congratulations to our NORAM Cloud Innovation Award winner, Orasi , for their continued commitment to building a highly differentiated offering.
The phrase “serverless computing” appears contradictory at first, but for years now, successful companies have understood the benefit of using serverless technologies to streamline operations and reduce costs. The developer uploads the function and configuration for how to run the function to the cloud. Dynatrace news.
To stay tuned, keep an eye on our release notes. Cloud Automation. Autonomous Cloud. Fixed issue that prevented the creation of custom messaging services with queue entry point type set to some technology types. (APM-368026). Cloud Automation. Autonomous Cloud. Classic user sessions page end-of-life.
The growing need for observability in digital transformation Digital transformation and the ubiquitous adoption of multicloud and cloud-native technologies have made observability mandatory. Dynatrace has a well-earned heritage of reducing complexity and cutting through the noise in large-scale multicloud and cloud-native environments.
Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Observability for heterogeneous cloud-native technologies is key. Stay tuned for upcoming announcements around OpenTracing and OpenTelemetry.
Whether integrating with IoT devices, web applications, or large-scale enterprise systems, RabbitMQ can communicate with various technologies. Optimizing RabbitMQ requires clustering, queue management, and resource tuning to maintain stability and efficiency. RabbitMQ ensures fast message delivery when queues are not overloaded.
Expanding the Cloud â?? s search technology to every developer. Search is an essential part of many of todays cloud-centric applications. Search is a much broader technology than just the indexing of large collections of web pages. Werner Vogels weblog on building scalable and robust distributed systems. Comments ().
With this announcement, Dynatrace brings the value of its AI engine, the scale, security, and automation of Dynatrace OneAgent and the scale of our platform (which can handle 50,000 hosts) to open source technologies so that you get the best of both worlds. Dynatrace unlocks over 200 new technology integrations. Stay tuned.
Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. This lack of visibility creates blind spots and makes it difficult to ensure the health of applications running on serverless technologies. So stay tuned! Azure Functions in a nutshell.
My goal is always to deliver tangible best practices that can be implemented today, and that can help teams transform their organization to true software-centric, digital cloud-native businesses. Zeroing in on the current state of DevOps and autonomous cloud and advancing performance.
cloud service providers are now starting to add OpenTelemetry instrumentation as an out-of-the-box feature. If your organization uses technologies, including programming languages, that aren’t natively covered by OneAgent, but which do emit OpenTelemetry trace data. Stay tuned for the general availability of trace ingest.
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