This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Microsoft Hyper-V is a virtualization platform that manages virtual machines (VMs) on Windows-based systems. This leads to a more efficient and streamlined experience for users. Firstly, managing virtual networks can be complex as networking in a virtual environment differs significantly from traditional networking.
CPU calculations apply these assumptions: A virtual CPU (vCPU) on any cloud host equals one thread of a physical CPU core, with two threads per core. Storage calculations assume that one terabyte consumes 1.2 Cloud storage is replicated twice, which doubles the energy consumption per terabyte. Public network traffic uses 1.0
This demand for rapid innovation is propelling organizations to adopt agile methodologies and DevOps principles to deliver software more efficiently and securely. And how do DevOps monitoring tools help teams achieve DevOps efficiency? Lost efficiency. 54% reported deploying updates every two hours or less.
The Dynatrace CSPM solution significantly enhances security, compliance, and resource efficiency through continuous monitoring, automated remediation, and centralized visibility for enterprises managing complex hybrid and multicloud environments. This delay in discovery significantly increases a business’s risk exposure.
Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances. From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step.
Business processes support virtually all aspects of an organizations operations. Theyre often categorized by their function; core processes directly create customer value, support processes increase departmental efficiency, and management processes drive strategic goals and compliance. RUM for high-precision user journey analytics.
Dynatrace, in tandem with the Nutanix extension, simplifies performance monitoring and makes issue identification and resolution more efficient. Virtual machine metrics Gain insights into the performance of your virtual machines, ensuring that your applications run smoothly.
IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. If you don’t have insight into the software and services that operate your business, you can’t efficiently run your business. Minimizes downtime and increases efficiency.
Cloud storage monitoring. Teams can keep track of storage resources and processes that are provisioned to virtual machines, services, databases, and applications. Virtual machine (VM) monitoring. An integrated platform monitors physical, virtual, and cloud infrastructure. End-user experience monitoring.
These developments open up new use cases, allowing Dynatrace customers to harness even more data for comprehensive AI-driven insights, faster troubleshooting, and improved operational efficiency. Customers have had a positive response to our native syslog implementation, noting its easy setup and efficiency.
A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.
MongoDB offers several storage engines that cater to various use cases. The default storage engine in earlier versions was MMAPv1, which utilized memory-mapped files and document-level locking. The newer, pluggable storage engine, WiredTiger, addresses this by using prefix compression, collection-level locking, and row-based storage.
Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. Cold storage and rehydration. Cold storage and rehydration. This is also known as root-cause analysis. Inadequate context.
Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. Cold storage and rehydration. Cold storage and rehydration. This is also known as root-cause analysis. Inadequate context.
AI can help automate tasks, improve efficiency, and identify potential problems before they occur. Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. IT automation also helps improve operational efficiency by automating repetitive tasks.
Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. Snowflake is a data warehouse designed to overcome these limitations, and the fundamental mechanism by which it achieves this is the decoupling (disaggregation) of compute and storage. joins) during query processing. Workload characteristics.
Citrix is a sophisticated, efficient, and highly scalable application delivery platform that is itself comprised of anywhere from hundreds to thousands of servers. Dynatrace automation and AI-powered monitoring of your entire IT landscape help you to engage your Citrix management tools where they are most efficient.
This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.
The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. Instead, enterprises manage individual containers on virtual machines (VMs). IaaS provides direct access to compute resources such as servers, storage, and networks. million in 2020. Managed orchestration.
It aims to provide a reliable platform for users to participate in live or pre-recorded workout sessions, virtual training, or fitness tutorials without interruptions. This SLO highlights the importance of a smooth and efficient checkout experience. Thus, an ApDex score of 0.85 means that 85% of requests met that threshold.
From May 17 to May 18, 2021, the Open-Source Engineering team at Dynatrace attended the virtual observability conference, o11yfest. Trace-based sampling can help you save storage costs. This can help you save money in storage costs in the long run. Dynatrace news. Seek support from vendors on your o11y journey. We second that.
Azure Data Lake Storage Gen1. Manual tasks like shutting down virtual machines in bulk or creating database backups can be error prone. Azure Data Factory is a hybrid data integration service that enables you to quickly and efficiently create automated data pipelines—without writing any code. Azure Logic Apps. Azure Event Grid.
Dynatrace has added support for the newly introduced Amazon Virtual Private Cloud (VPC) Flow Logs for AWS Transit Gateway. This new service enhances the user visibility of network details with direct delivery of Flow Logs for Transit Gateway to your desired endpoint via Amazon Simple Storage Service (S3) bucket or Amazon CloudWatch Logs.
Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services. But managing the deployment, modification, networking, and scaling of multiple containers can quickly outstrip the capabilities of development and operations teams.
VPC Flow Logs is an Amazon service that enables IT pros to capture information about the IP traffic that traverses network interfaces in a virtual private cloud, or VPC. With Amazon Web Services, the main sources from which to ingest logs—Simple Storage Service, or S3, and CloudWatch —come with an additional cost.
In this type of environment, it’s difficult to apply traditional monitoring, virtually impossible to keep it consistently current, and it’s challenging to get the outputs you need to truly understand performance. By doing so, they can improve efficiency, reduce costs, and deliver better customer experiences.
Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs). Endpoints can be physical (i.e.,
For nonurgent messages, texting is a more efficient approach. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. The concept is like text messaging — a feature most mobile phone users understand. If you need to send a message, you can call the person.
For nonurgent messages, texting is a more efficient approach. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. The concept is like text messaging — a feature most mobile phone users understand. If you need to send a message, you can call the person.
Optimized Storage and Authentication To boost performance and efficiency, we have migrated dedicated AWS deployments from gp2 to the more advanced gp3 storage and introduced Auth0 authentication for the ScaleGrid console.
AI-enabled chatbots can help service teams triage customer issues more efficiently. Join us at Dynatrace Perform 2024 , either on-site or virtuall y, to explore these themes further. Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. What is explainable AI?
Establishing a single source of truth for all observability data reveals the full power of the Dynatrace platform by querying all data with comprehensive new capabilities from the one Dynatrace Grail data lake house for data storage. For each section, it’s possible to drill down for detailed context and learn the underlying DQL query.
This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Storage is a critical aspect to consider when working with cloud workloads. This need is often referred to as “workload optimization.”
It aims to provide a reliable platform for users to participate in live or pre-recorded workout sessions, virtual training, or fitness tutorials without interruptions. This SLO example highlights the importance of a smooth and efficient checkout experience. E-commerce website: For an e-commerce website, maintain an ApDex score of 0.9
Citrix is a sophisticated, efficient, and highly scalable application delivery platform that is itself comprised of anywhere from hundreds to thousands of servers. Dynatrace automation and AI-powered monitoring of your entire IT landscape help you to engage your Citrix management tools where they are most efficient. Dynatrace news.
Today, we are releasing a plugin that allows customers to use the Titan graph engine with Amazon DynamoDB as the backend storage layer. It opens up the possibility to enjoy the value that graph databases bring to relationship-centric use cases, without worrying about managing the underlying storage. The importance of relationships.
Lift & Shift is where you basically just move physical or virtual hosts to the cloud – essentially you just run your host on somebody else’s hardware. Optimize Query Performance and Data Storage Cost. Extract less critical data into a cheaper database storage option. Optimize the performance of key queries.
The first was voice control, where you can play a title or search using your virtual assistant with a voice command like “Show me Stranger Things on Netflix.” (See With these clear benefits, we continued to build out this functionality for more devices, enabling the same efficiency wins. It served Pushy’s needs well for many years.
From May 17 to May 18, 2021, the Open-Source Engineering team at Dynatrace attended the virtual observability conference, o11yfest. Trace-based sampling can help you save storage costs. This can help you save money in storage costs in the long run. Dynatrace news. Seek support from vendors on your o11y journey. We second that.
In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently. Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands.
This becomes an even more important lesson at scale: for example, as S3 processes trillions and trillions of storage transactions, anything that has even the slightest probability of error will become realistic. If customers have many tiny files, then storage and bandwidth don’t amount to much even if they are making millions of requests.
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. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.
It offers benefits like increased reliability, efficient resource utilization, decoupling of components, and support for multiple programming languages. RabbitMQ allows consumer programs to wait and receive messages from producers, ensuring efficient message delivery and processing.
Chatbots and virtual assistants Chatbots and virtual assistants are becoming more common on websites and web applications as they provide an efficient and convenient way for users to interact with a business. These technologies can answer questions, provide customer support, or even complete transactions.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content