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DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. Moreover, teams are constantly dealing with continuously evolving cyberthreats to data both on premises and in the cloud.
More organizations than ever are undertaking cloud migration as digital transformation continues to gain momentum across every industry in every region. But what does it take to migrate your existing applications to the cloud? What is cloud migration? However, it can also mean migrating from one cloud to another.
However, with these benefits come complexities in terms of cloud management, Kubernetes observability, and automation, making it imperative for enterprises to address these intricacies to enhance reliability, performance, and resource usage.
In fact, according to a Dynatrace global survey of 1,300 CIOs , 99% of enterprises utilize a multicloud environment and seven cloud monitoring solutions on average. What is cloud monitoring? Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.
Scaling RabbitMQ ensures your system can handle growing traffic and maintain high performance. Optimizing RabbitMQ performance through strategies such as keeping queues short, enabling lazy queues, and monitoring health checks is essential for maintaining system efficiency and effectively managing high traffic loads.
Observability should be as cloud-native as Kubernetes itself. Today we’re proud to announce the new Dynatrace Operator, designed from the ground up to handle the lifecycle of OneAgent, Kubernetes API monitoring, OneAgent traffic routing, and all future containerized componentry such as the forthcoming extension framework.
As organizations increasingly migrate their applications to the cloud, efficient and scalable load balancing becomes pivotal for ensuring optimal performance and high availability. Load balancing is a critical component in cloudarchitectures for various reasons. What Is Load Balancing?
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.
With the advent of cloud computing, managing network traffic and ensuring optimal performance have become critical aspects of system architecture. Amazon Web Services (AWS), a leading cloud service provider, offers a suite of load balancers to manage network traffic effectively for applications running on its platform.
Service meshes are becoming increasingly popular in cloud-native applications as they provide a way to manage network traffic between microservices. It offers several features, including: Prioritized load shedding: Drops traffic that is deemed less important to ensure that the most critical traffic is served.
While not a new concept, the term “cloud” creates a lot of confusion because it means different things to different audiences. I’ve been speaking to customers over the last few months about our new cloudarchitecture for Synthetic testing locations and their confusion is clear. For us, cloud is not a cost savings play.
Motivation With the rapid growth in Netflix member base and the increasing complexity of our systems, our architecture has evolved into an asynchronous one that enables both online and offline computation. This helps limit the outgoing traffic footprint considerably.
With cloud deployments growing rapidly during the past few years and enterprise multi-cloud environments becoming the norm, new challenges have emerged, including: Cloud dynamics make it hard to keep up with autoscaling, where services come and go based on demand. Azure Traffic Manager. Dynatrace news. Azure Batch.
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. With Dynatrace OneAgent you also benefit from support for traffic routing and traffic control.
Service mesh emerged as a response to the growing popularity of cloud-native environments, microservices architecture, and Kubernetes. It has its roots in the three-tiered model of application architecture. Under a heavy load, the application could break if the traffic routing, load balancing, etc., were not optimized.
This article outlines the key differences in architecture, performance, and use cases to help determine the best fit for your workload. RabbitMQ follows a message broker model with advanced routing, while Kafkas event streaming architecture uses partitioned logs for distributed processing. What is RabbitMQ? What is Apache Kafka?
For cloud operations teams, network performance monitoring is central in ensuring application and infrastructure performance. Network traffic growth is the main reason for increasing spending, largely because of the adoption of hybrid and multi-cloudarchitectures.
Software reliability and resiliency don’t just happen by simply moving your software to a modern stack, or by moving your workloads to the cloud. The fact is, Reliability and Resiliency must be rooted in the architecture of a distributed system.
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….
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. Fully conceptualizing capacity requirements. Dynatrace and AWS.
If you are wondering what a service mesh is and whether you would benefit from having one, you likely have a mature Kubernetes environment running large cloud-native applications. A service mesh is a dedicated infrastructure layer built into an application that controls service-to-service communication in a microservices architecture.
You also might be required to capture syslog messages from cloud services on AWS, Azure, and Google Cloud related to resource provisioning, scaling, and security events. After ingesting syslog data safely via Environment ActiveGate, you automatically make it actionable in the right context of your infrastructure and cloud services.
For retail organizations, peak traffic can be a mixed blessing. While high-volume traffic often boosts sales, it can also compromise uptimes. But as more organizations adopt cloud-native technologies and distribute workloads among multicloud environments, that goal seems harder to attain. What is always-on infrastructure?
How viewers are able to watch their favorite show on Netflix while the infrastructure self-recovers from a system failure By Manuel Correa , Arthur Gonigberg , and Daniel West Getting stuck in traffic is one of the most frustrating experiences for drivers around the world. Logs and background requests are examples of this type of traffic.
Two-thirds say vulnerability management is becoming harder because of complex supply chain and cloud ecosystems. For example, an organization might use security analytics tools to monitor user behavior and network traffic. Security analytics tools can be any combination of on-prem, in the cloud, or both.
Confused about multi-cloud vs hybrid cloud and which is the right strategy for your organization? Multicloud harnesses diverse cloud services to boost flexibility, while hybrid cloud merges public and private clouds for enhanced control. What is Multi-Cloud? But what do these entail?
OpenTelemetry for Go provides developers with an observability framework for cloud-native software, allowing them to instrument, generate, collect, and export telemetry data for relevant services. With Dynatrace OneAgent you also benefit from support for traffic routing and traffic control.
All these micro-services are currently operated in AWS cloud infrastructure. Finally, provisioning our infrastructure itself is also becoming an increasingly complex task, so our data teams contribute to tools for diagnosis and automation of our cloud capacity management.
Because we analyzed the results of our Autonomous Cloud Survey and sat down with a handful of these companies that provided answers to questions such as: What’s your Commit Cycle Time? Keptn is the open source control plane for continuous deployment and automated operations for cloud native applications on Kubernetes. Dynatrace news.
But in a cloud-native world, resiliency must expand to include the ability for organizations to recover quickly from failures and ensure business continuity. In many ways, the shift to cloud computing and the adoption of cloud-native architectures have enabled organizations to realize greater resiliency alongside scalability.
Cloud platforms are somewhat a staple component to enterprises’ IT environments today, helping to achieve objectives and drive better business operations, but more often than not we don’t see the outcomes or rewards reaped from the use of such platforms. High Traffic Notification. Dynatrace news. How OpenShift helped.
Exploring artificial intelligence in cloud computing reveals a game-changing synergy. This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details.
Moreover, distributed microservices architecture and data silos mean teams don’t have access to the context that’s critical to make sense of this data and all its different data formats. For this comprehensive monitoring in context, they had adopted Dynatrace.
While most organizations turn to cloud technologies to address these challenges, this often places new roadblocks in their path , causing more complexity. . With any cloud technology, managing cost efficiency is critical. Competitive pressure enhances this complexity by driving the need to deliver better software, faster.
She was speaking about how her team is providing Visibility as a Service (VaaS) in order to continuously monitor and optimize their systems running across private and public cloud environments. Reducing performance and architectural issues in their backend system gave them a 99% performance improvement!
While customers use observability platforms to identify issues in cloud environments, the next chapter of value is removing manual work from processes and building IT automation into their organizations. They can be proactive in identifying issues in cloud environments. “It Data-driven cloud optimization.
The vision was to create a “Studio in the Cloud”, with applications supporting every part of the business from pitch to play. You’ll hear from two teams here: first Application Security, and then Cloud Gateway. into every conversation. The first was that there were too many security things that each software team needed to think about?
Example 1: Architecture boundaries. First, they took a big step back and looked at their end-to-end architecture (Figure 2). SLO dashboard defined by architectural boundary. For example, one dashboard is broken down by cloud hosting provider. My web requests are all HTTP 2XX success, so why are my users getting errors?
Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity. With its massively parallel architecture, Grail can ingest and process high cardinality data at the scale of modern cloudarchitectures without losing fidelity.
How site reliability engineering affects organizations’ bottom line SRE applies the disciplines of software engineering to infrastructure management, both on-premises and in the cloud. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed.
A brief history of IPC at Netflix Netflix was early to the cloud, particularly for large-scale companies: we began the migration in 2008, and by 2010, Netflix streaming was fully run on AWS. Today we have a wealth of tools, both OSS and commercial, all designed for cloud-native environments.
The popularity of microservices and container platforms like Kubernetes and Cloud Foundry is in large part due to the associated benefits of faster deployment cycles, more flexibility in resource utilization, and reduced technology/vendor lock-in. This is especially important as these are the gatekeepers for all incoming and outgoing traffic.
Consumers expect personalized, proactive, and convenient service, which traditional application architectures often struggle to provide. Best Buy is designing its journey to cut through the noise of its multicloud and multi-tool environments to immediately pinpoint the root causes of issues during peak traffic loads.
Terrible timing but without Stephane I was the only iOS developer anywhere at Netflix, and it wasnt my job to be a developer, by then I was leading the cloud re-architecture team. The Netflix iPhone launch was the first platform launch that Netflix did which was entirely backed by the AWS cloud.
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