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The Evolution of Back-End Complexity Until recently, back-end architectures were relatively straightforward: monolithic applications ruled the landscape, with everything neatly contained within a single codebase. Developers could understand and manage the entire systems intricacies.
The rapid evolution of cloud technology 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.
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Grafana Loki is a horizontally scalable, highly available log aggregation system. Created by Grafana Labs in 2018, Loki has rapidly emerged as a compelling alternative to traditional logging systems, particularly for cloud-native and Kubernetes environments. It is designed for simplicity and cost-efficiency.
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Serverless architecture is a way of building and running applications without the need to manage infrastructure. You write your code, and the cloud provider handles the rest - provisioning, scaling, and maintenance. Scalability: Serverless services automatically scale with the application's needs.
2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. Dynatrace news.
2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. Dynatrace news.
Lifting and shifting applications from the data center to the cloud delivers only marginal benefits. Because cloud computing breaks application functions into many microservices, porting monolithic applications to the cloud unchanged can slow them down. So, what is cloud-native architecture, exactly?
Without observability, the benefits of ARM are lost Over the last decade and a half, a new wave of computer architecture has overtaken the world. ARM architecture, based on a processor type optimized for cloud and hyperscale computing, has become the most prevalent on the planet, with billions of ARM devices currently in use.
Many organizations are taking a microservices approach to IT architecture. However, in some cases, an organization may be better suited to another architecture approach. Therefore, it’s critical to weigh the advantages of microservices against its potential issues, other architecture approaches, and your unique business needs.
Self-Service Progressive Delivery of Microservices, Automated SLI/SLO based Quality Gates, Continuous Feedback through ChatOps and Automatic Remediation of Production Issues are some of the capabilities you expect from a modern cloud-native software delivery platform. The recent improvements released in Keptn 0.6,
One of the commonly noticed challenges with companies adopting cloud-native architectures and a container-driven development journey is that they are not clear about why they’re choosing the path. The truth is that cloud-native architecture is a vast spectrum, and it means different things to different people.
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.
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.
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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?
The Amazon Prime Video team recently published a blog post that made waves among the cloud and developer communities. In the post, the team detailed how moving one of their monitoring tools from a distributed serverless architecture to a monolith helped lower costs and increase scalability.
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For many companies, the journey to modern cloud applications starts with serverless. To get a better understanding of AWS serverless, we’ll first explore the basics of serverless architectures, review AWS serverless offerings, and explore common use cases. Serverless architecture: A primer. Scalability.
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.
Snowflake is a powerful cloud-based data warehousing platform known for its scalability and flexibility. Understanding Snowflake Architecture Let’s briefly cover Snowflake architecture before we deal with data modeling and optimization techniques. Snowflake’s architecture consists of three main layers:
With the rise of microservices architecture , there has been a rapid acceleration in the modernization of legacy platforms, leveraging cloud infrastructure to deliver highly scalable, low-latency, and more responsive services. Why Use Spring WebFlux?
Modern distributed systems, like microservices and cloud-native architectures, are built to be scalable and reliable. However, their complexity can lead to unexpected failures. Chaos engineering is a useful way to test and improve system resilience by intentionally creating controlled failures.
Using Dynatrace on Microsoft Azure allows customers to leverage all the benefits of the Dynatrace platform’s underlying cloud-native, web-scale architecture while operating entirely in the Azure cloud. The seamless onboarding experience sets up Dynatrace automatically. How to get started.
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.
Cloud-native applications now dominate IT as DevOps teams respond to growing demands to deliver functionality faster and more securely. As DevOps teams are pivoting to cloud-native technologies, IT environments have become increasingly complex. Cloud-native is the preferred way of delivering applications. Dynatrace news.
Why unified observability boosts productivity While journalctl is a powerful local tool with local filtering capabilities, it doesn’t scale well, especially considering the globally distributed components of today’s hybrid/cloud-hosted environments.
In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.
As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.
Logs complement metrics and enable automation Cloud practitioners agree that observability, security, and automation go hand in hand. The increasing complexity of cloud service architectures requires a rock-solid understanding of the activity, health status, and security of cloud services.
Editor's Note: The following is an article written for and published in DZone's 2024 Trend Report, The Modern DevOps Lifecycle: Shifting CI/CD and Application Architectures. Forbes estimates that cloud budgets will break all previous records as businesses will spend over $1 trillion on cloud computing infrastructure in 2024.
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. What is BPF?
Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. The FaaS model of cloud computing debuted in 2014 with startups like hook.io.
In today's rapidly evolving technology landscape, it's common for applications to migrate to the cloud to embrace the microservice architecture. While this architectural approach offers scalability, reusability, and adaptability, it also presents a unique challenge: effectively managing communication between these microservices.
Key Takeaways RabbitMQ improves scalability and fault tolerance in distributed systems by decoupling applications, enabling reliable message exchanges. This decoupling is crucial in modern architectures where scalability and fault tolerance are paramount. Each RabbitMQ node must be stopped before it can join an existing cluster.
As the process of cloud modernization becomes ever more complex, there is an even greater need to embrace the emerging role of cloud architect to accelerate transformation. Partners are integral to the process and a necessity if organizations want to achieve faster, greater, and more scalable modernization. .
That's because there’s been very little evolution in software system architecture. This article, while definitely self serving, targets the choice of using a native iOS environment versus a cloud environment for an app. It’s pretty much same thing, different day. It’s a choice every developer must make.
Please support me on Patreon and you'll get 100 free cloud credits in heaven. Know anyone looking for a simple book explaining the cloud? Then please recommend my well reviewed book: Explain the Cloud Like I'm 10. Martin Sústrik : Philosophers, by and large, tend to be architecture astronauts. There more.
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….
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Transforming an application from monolith to microservices-based architecture can be daunting, and knowing where to start can be difficult. Unsurprisingly, organizations are breaking away from monolithic architectures and moving toward event-driven microservices. Migration is time-consuming and involved. create a microservice; 2.
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