Dynatrace

OCTOBER 23, 2023

Firstly, managing virtual networks can be complex as networking in a virtual environment differs significantly from traditional networking. Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult.

Efficiency 214

Efficiency Virtualization Hardware Performance 214

Dynatrace

JUNE 6, 2023

Networking. Large-scale, multicloud deployments can introduce challenges related to network visibility and interoperability. Traditional ways of operating networks using static IPs and ports simply don’t work in dynamic Kubernetes environments. AI-powered analytics. Containers need to spin up and down easily.

Open Source 192

Open Source Storage Analytics Innovation 192

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Comparing log monitoring, log analytics, and log management. It is common to refer to these together as log management and analytics.

Systems 185

Systems Cloud Analytics DevOps 185

Dynatrace

APRIL 8, 2024

In summary, the Dynatrace platform enables banks to do the following: Capture any data type: logs, metrics, traces, topology, behavior, code, metadata, network, security, web, and real-user monitoring data, and business events. Grail drives insights and decisions that preserve earnings and strengthen balance sheets. Break down data silos.

Analytics 200

Analytics Infrastructure Efficiency Technology 200

Dynatrace

OCTOBER 17, 2023

Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. The data is stored with full context, which enables AI to deliver precise answers with speed and analytics to give rich insights with efficiency. 5) in the Gartner report.

Monitoring 225

Monitoring Artificial Intelligence Performance Analytics 225

High Scalability

JANUARY 11, 2022

Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity. Fetching User Feed. Sample Queries supported by Graph Database. Optimization.

Design 334

Design Media Storage Logistics 334

Dynatrace

DECEMBER 13, 2023

Mobile applications (apps) are an increasingly important channel for reaching customers, but the distributed nature of mobile app platforms and delivery networks can cause performance problems that leave users frustrated, or worse, turning to competitors. Load time and network latency metrics. Minimize network requests.

Best Practices 198

Best Practices Mobile Metrics Performance 198

Scalegrid

JANUARY 12, 2024

This is sometimes referred to as using an “over-cloud” model that involves a centrally managed resource pool that spans all parts of a connected global network with internal connections between regional borders, such as two instances in IAD-ORD for NYC-JS webpage DNS routing. This also aids scalability down the line.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

JUNE 27, 2023

Many AWS services and third party solutions use AWS S3 for log storage. We hear from our customers how important it is to have a centralized, quick, and powerful access point to analyze these logs; hence we’re making it easier to ingest AWS S3 logs and leverage Dynatrace Log Management and Analytics powered by Grail.

AWS 198

AWS Cloud Lambda Analytics 198

Dynatrace

JULY 25, 2022

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. The newly introduced VPC Flow Logs for Transit Gateway service brings a new network dimension to application monitoring.

AWS 218

AWS Transportation Network Traffic 218

Scalegrid

MARCH 14, 2024

When delving into the networking aspect of a hybrid cloud deployment, complexities arise due to the requirement of linking or expanding existing on-premises network architectures into the cloud sphere. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Scalegrid

MARCH 28, 2024

This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. It uses a hash table to manage these pairs, divided into fixed-size buckets with linked lists for key-value storage. Redis Database Management with ScaleGrid ScaleGrid.io

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

MARCH 24, 2023

But managing the deployment, modification, networking, and scaling of multiple containers can quickly outstrip the capabilities of development and operations teams. This orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles. How does container orchestration work?

Infrastructure 186

Infrastructure Open Source Operating System Cloud 186

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. Additionally, they manage applications and services deployed on the network and provide secure access to authorized users.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

Dynatrace

SEPTEMBER 7, 2022

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. By default, each record captures a network internet protocol (IP), a destination, and the source of the traffic flow that occurs within your environment.

Traffic 215

Traffic AWS Network Cloud 215

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Because IMDGs have highly scalable storage capacity, they can easily return large numbers of matching objects to the client application, and this leads to network bottlenecks transferring large amounts of data from the IMDG back to the client.

Analytics 52

Analytics Airlines Cache Scalability 52

Scalegrid

DECEMBER 21, 2023

This includes latency, which is a major determinant in evaluating the reliability and performance of your Redis® instance, CPU usage to assess how much time it spends on tasks, operations such as reading/writing data from disk or network I/O, and memory utilization (also known as memory metrics).

Strategy 130

Strategy Monitoring Latency DevOps 130

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Because IMDGs have highly scalable storage capacity, they can easily return large numbers of matching objects to the client application, and this leads to network bottlenecks transferring large amounts of data from the IMDG back to the client.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

JANUARY 22, 2024

Most AI today uses association-based machine learning models like neural networks that find correlations and make predictions based on them. Data lakehouses combine a data lake’s flexible storage with a data warehouse’s fast performance. However, correlation does not imply causation.

Artificial Intelligence 207

Artificial Intelligence Healthcare Retail Government 207

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., ” For just the YouTube Analytics application, we’re looking at metrics like this, with a 99%-ile latency of 412ms: Embedded statistics use cases include the various counters such as views, likes, and subscriptions that are included in pages.

Analytics 75

Analytics Latency Cache Google 75

Dynatrace

APRIL 26, 2022

With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings. STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables).

Monitoring 203

Monitoring Social Media IoT Metrics 203

Dynatrace

AUGUST 24, 2020

Further reading about Business Analytics : . Digital Business Analytics. Digital Business Analytics: Let’s get started. Digital Business Analytics: Accelerate your dashboard journey . Conclusion. Kubernetes components like nodes and Pods come and go quickly.

Analytics 240

Analytics Infrastructure AWS Operating System 240

Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. Key among these trends is the emphasis on security and intelligent analytics.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

The Netflix TechBlog

OCTOBER 19, 2020

Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices. A second job taps the data feed from the first job, does tail sampling of data and writes traces to the storage system.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

AUGUST 27, 2020

The latest batch of services cover databases, networks, machine learning and computing. AWS IoT Analytics. AWS Storage Gateway. Top use cases include recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security. Achieve full observability of all AWS services. AWS IoT Things Graph.

AWS 269

AWS Cloud IoT Database 269

Dynatrace

OCTOBER 14, 2022

Collecting logs that aren’t relevant to their business case creates noise, overloads congested networks, and slows down teams. To control local network data volume and potential congestion, Dynatrace also allows filtering of log data on-source—by specific host, service, or even log content—before data is sent to the cloud.

Storage 227

Storage Government Network Infrastructure 227

Dynatrace

DECEMBER 9, 2020

Dynatrace is fully committed to the OpenTelemetry community and to the seamless integration of OpenTelemetry data , including ingestion of custom metrics , into the Dynatrace open analytics platform. OneAgent implements network zones to create traffic routing rules and limit cross data-center traffic. Deep-code execution details.

Java 233

Java Traffic Strategy Architecture 233

Dynatrace

SEPTEMBER 30, 2021

AWS Certified Advanced Networking – Specialty: Very experienced networking professionals who are also proficient in AWS can benefit from getting this certification. Data analytics. However, AWS recommends getting the AWS Certified Cloud Practitioner certificate or an equivalent Associate-level cert beforehand. Machine learning.

AWS 209

AWS Best Practices Analytics Cloud 209

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

Dynatrace

NOVEMBER 22, 2021

With EC2, Amazon manages the basic compute, storage, networking infrastructure and virtualization layer, and leaves the rest for you to manage: OS, middleware, runtime environment, data, and applications. Amazon EC2. EC2 is Amazon’s Infrastructure-as-a-service (IaaS) compute platform designed to handle any workload at scale.

Best Practices 211

Best Practices AWS Monitoring Serverless 211

Dynatrace

SEPTEMBER 13, 2023

This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 246

AWS Efficiency Azure Cloud 246

Dynatrace

AUGUST 24, 2020

Further reading about Business Analytics : . Digital Business Analytics. Digital Business Analytics: Let’s get started. Digital Business Analytics: Accelerate your dashboard journey . Conclusion. Kubernetes components like nodes and P ods come and go quickly.

Analytics 135

Analytics Infrastructure AWS Operating System 135

Percona

JUNE 22, 2023

Number of slow queries recorded Select types, sorts, locks, and total questions against a database Command counters and handlers used by queries give an overall traffic summary Along with this, PMM also comes with Query Analytics giving much detailed information about queries getting executed.

Performance 107

Performance Monitoring Traffic Database 107

Dynatrace

AUGUST 28, 2020

Azure Data Lake Analytics. Azure Data Lake Storage Gen1. Azure Network Interface. We’re happy to announce that now you can gain cloud monitoring excellence with Dynatrace for 15 additional Azure services, including: Azure Automation Account. Azure Logic Apps. Azure Container Instance. Azure Data Factory v1. Azure Firewall.

Azure 155

Azure Cloud Tuning Monitoring 155

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. Amazon Kinesis Data Analytics. Amazon Simple Storage Service (S3). Dynatrace news. Amazon Elasticsearch Service (ES). Amazon Kinesis Data Firehose. Amazon Kinesis Data Streams (KDS).

AWS 136

AWS Metrics IoT Storage 136

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. Amazon Kinesis Data Analytics. Amazon Simple Storage Service (S3). Dynatrace news. Amazon Elasticsearch Service (ES). Amazon Kinesis Data Firehose. Amazon Kinesis Data Streams (KDS).

AWS 133

AWS Metrics IoT Storage 133

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases.

Analytics 191

Analytics Traffic Big Data Efficiency 191