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Serverless architecture is a way of building and running applications without the need to manage infrastructure. When we talk about " serverless ," it doesn't mean servers are absent. When we talk about " serverless ," it doesn't mean servers are absent.
That’s where hyperconverged infrastructure, or HCI, comes in. What is hyperconverged infrastructure? Hyperconverged infrastructure (HCI) is an IT architecture that combines servers, storage, and networking functions into a unified, software-centric platform to streamline resource management.
However, this category requires near-immediate access to the current count at low latencies, all while keeping infrastructure costs to a minimum. Eventually Consistent : This category needs accurate and durable counts, and is willing to tolerate a slight delay in accuracy and a slightly higher infrastructure cost as a trade-off.
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.
.” While this methodology extends to every layer of the IT stack, infrastructure as code (IAC) is the most prominent example. Here, we’ll tackle the basics, benefits, and best practices of IAC, as well as choosing infrastructure-as-code tools for your organization. What is infrastructure as code? Consistency.
As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. Traditional monolithic architectures are built around the concept of large applications that are self-contained, independent, and incorporate myriad capabilities. What is monolithic architecture?
IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. We’ve seen the IT infrastructure landscape evolve rapidly over the past few years. What is infrastructure monitoring? . Dynatrace news.
Sure, cloud infrastructure requires comprehensive performance visibility, as Dynatrace provides , but the services that leverage cloud infrastructures also require close attention. Cloud-based application architectures commonly leverage microservices. Extend infrastructure observability to WSO2 API Manager.
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?
In this blog post, youll learn how Dynatrace OneAgent automatically identifies Journald and ingests structured logs into Dynatrace while enriching them with topology and infrastructure context. The Grail architecture ensures scalability, making log data accessible for detailed analysis regardless of volume.
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. Serverless architecture shifts application hosting functions away from local servers onto those managed by providers.
It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. The Greenplum Architecture. The Greenplum Architecture. Greenplum Architectural Design.
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 architecture (ppc64le). Dynatrace webhook server validates Dynakube definitions for correctness.
With more organizations taking the multicloud plunge, monitoring cloud infrastructure is critical to ensure all components of the cloud computing stack are available, high-performing, and secure. Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.
Despite the name, serverless computing still uses servers. This means companies can access the exact resources they need whenever they need them, rather than paying for server space and computing power they only need occasionally. If servers reach maximum load and capacity in-house, something has to give before adding new services.
Cloud providers then manage physical hardware, virtual machines, and web server software management. This enables teams to quickly develop and test key functions without the headaches typically associated with in-house infrastructure management. FaaS vs. monolithic architectures. How FaaS fits in with SaaS, PaaS, and IaaS.
Central engineering teams enable this operational model by reducing the cognitive burden on innovation teams through solutions related to securing, scaling and strengthening (resilience) the infrastructure. All these micro-services are currently operated in AWS cloud infrastructure.
With the availability of Linux on IBM Z and LinuxONE, the IBM Z platform brings a familiar host operating system and sustainability that could yield up to 75% energy reduction compared to x86 servers. You can now install OneAgent on Linux with s390 architecture. Next, set up log ingest.
These include traditional on-premises network devices and servers for infrastructure applications like databases, websites, or email. Without seeing syslog data in the context of your infrastructure, metrics, and transaction traces, you’re slowed down by manual work with siloed data.
Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Kubernetes infrastructure models differ between cloud and on-premises. Kubernetes infrastructure models differ between cloud and on-premises. Kubernetes moved to the cloud in 2022.
Our colleagues wrote a Netflix Tech Blog post describing the details of this architecture. The transition to the new federated architecture meant that many of our backend teams needed to adopt GraphQL in our Java ecosystem. Backward compatibility is even more critical when working in a Federated GraphQL architecture.
Cloud migration enables IT teams to enlist public cloud infrastructure so an organization can innovate without getting bogged down in managing all aspects of IT infrastructure as it scales. They need ways to monitor infrastructure, even if it’s no longer on premises. Right-sizing infrastructure.
Now, Dynatrace has gone a step further and expanded its coverage and intelligent observability into the next layer: database infrastructure. With a growing number of cloud-native applications built on containers and microservices-based architectures, the number and variety of databases become complex and difficult to manage at scale.
Vidhya Arvind , Rajasekhar Ummadisetty , Joey Lynch , Vinay Chella Introduction At Netflix our ability to deliver seamless, high-quality, streaming experiences to millions of users hinges on robust, global backend infrastructure. Data Model At its core, the KV abstraction is built around a two-level map architecture.
In a Dynatrace Perform 2024 session, Kristof Renders, director of innovation services, discussed how a stronger FinOps strategy coupled with observability can make a significant difference in helping teams to keep spiraling infrastructure costs under control and manage cloud spending. Suboptimal architecture design.
Infrastructure Optimization: 100% improvement in Database Connectivity. Impacting Server-Side Requests: Dynatrace allows you to drill into your server-side requests to understand why your business logic is executing slow or fails. Digital Performance: 99% reduction in Response Time, from 18.2s You may ask: How is this possible?
See all detected databases All databases running on your server instances are autodetected, so you can easily check your database performance statistics and settings. Drill down into further details You can review the availability and performance of high availability replicas and AlwaysOn groups in SQL Server.
So why not use a proven architecture instead of starting from scratch on your own? This blog provides links to such architectures — for MySQL and PostgreSQL software. You can use these Percona architectures to build highly available PostgreSQL or MySQL environments or have our experts do the heavy lifting for you.
Within this paradigm, it is possible to run entire architectures without touching a traditional virtual server, either locally or in the cloud. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently. Making use of serverless architecture. The Serverless Process.
Our Journey so Far Over the past year, we’ve implemented the core infrastructure pieces necessary for a federated GraphQL architecture as described in our previous post: Studio Edge Architecture The first Domain Graph Service (DGS) on the platform was the former GraphQL monolith that we discussed in our first post (Studio API).
Transforming an application from monolith to microservices-based architecture can be daunting, and knowing where to start can be difficult. Because monolithic applications combine database, client-side interfaces, and server-side application elements in a single executable, they’re difficult to understand, even for their own administrators.
The comprehensive functionality is highly customizable, facilitating a seamless presentation of any SAP metric in the context of SAP systems, business architecture, and all SAP-integrated systems. SAP HANA serverinfrastructure monitored with OneAgent. The same SAP HANA server internals are monitored with PowerConnect.
Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.
ITOps is an IT discipline involving actions and decisions made by the operations team responsible for an organization’s IT infrastructure. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. What is ITOps?
Are all your remote file servers available? Remote file server availability. Tracking the availability of remote file servers is one of the most critical jobs as a PTC administrator – many currently do this as a manual task, downloading a file from each node. Are there any issues with your background queues?
Running workloads on top of Kubernetes is significantly valuable, not just for application teams, but for infrastructure teams as well. Control plane – updates to better understand control plane health, new dashboards (etcd, api-server, controller manager, kubelet). More about Kubernetes. Get your free eBook now!
Gone are the days when developers handled app development, server logs, infrastructures, and other resources single-handedly. Serverless architectures offload routine tasks from developers and let them focus on app building. They offer scalable, flexible, and cost-effective solutions that eliminate the need to manage servers.
For today’s highly dynamic and exceedingly complex production environments, performance problems that are evident at the service level (for example, slow response times or failed requests) are often the result of underlying (cloud) infrastructure issues. TCP Server. // Start TCP server. conn, _ := listener.Accept().
Containers enable developers to package microservices or applications with the libraries, configuration files, and dependencies needed to run on any infrastructure, regardless of the target system environment. And organizations use Kubernetes to run on an increasing array of workloads. The post What is container orchestration?
Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications. million AI server units annually by 2027, consuming 75.4+
Typically, these are streamed to a central syslog server. One option is to install OneAgent on that syslog server, which automatically discovers, instruments and sends the log data to the Dynatrace platform. Yet observability into syslog data on Dynatrace would help you monitor and troubleshoot infrastructure. What is Fluentd?
As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. The Azure Well-Architected Framework is a set of guiding tenets organizations can use to evaluate architecture and implement designs that will scale over time.
As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. Open source CI/CD pipeline tool with extensible server automation for distributed builds and scaling. Infrastructure as code (IaC) configuration management tool. Atlassian Jira.
AIOps and observability for infrastructure management. This kind of IT automation “ingests data from every layer in the stack — from the infrastructure layer to the application layer and even user experience data,” says Bipin Singh, director of product marketing at Dynatrace. And then we never see these issues manifest again.
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