Scalegrid

MAY 13, 2020

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. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. What is late-arriving data? Let’s dive in!

Data Engineering 264

Data Engineering Engineering Processing Games 264

Dynatrace

APRIL 13, 2023

The massive volumes of log data associated with a breach have made cybersecurity forensics a complicated, costly problem to solve. As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging.

Analytics 175

Analytics Java Infrastructure Cloud 175

VoltDB

APRIL 25, 2024

To move as fast as they can at scale while protecting mission-critical data, more and more organizations are investing in private 5G networks, also known as private cellular networks or just “private 5G” (not to be confused with virtual private networks, which are something totally different). billion in 2022.

Network 52

Network IoT Wireless Infrastructure 52

Dynatrace

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 177

Software Software Analytics Big Data 177

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. Collect data automatically and pre-processed from a range of sources: application programming interfaces, integrations, agents, and OpenTelemetry.

Analytics 189

Analytics Infrastructure Efficiency Technology 189

Dynatrace

SEPTEMBER 7, 2022

Dynatrace and the Dynatrace Intelligent Observability Platform have added support for the newly introduced Amazon VPC Flow Logs to Amazon Kinesis Data Firehose. This support enables customers to define specific endpoint delivery of real-time streaming data to platforms such as Dynatrace. What is VPC Flow Logs? Why Dynatrace?

Traffic 204

Traffic AWS Network Cloud 204

The Netflix TechBlog

SEPTEMBER 18, 2020

Part of our series on who works in Analytics at Netflix?—?and and what the role entails by Julie Beckley & Chris Pham This Q&A provides insights into the diverse set of skills, projects, and culture within Data Science and Engineering (DSE) at Netflix through the eyes of two team members: Chris Pham and Julie Beckley.

Analytics 223

Analytics Education Innovation Engineering 223

Dynatrace

OCTOBER 17, 2023

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. 5) in the Gartner report. 5) in the Gartner report.

Monitoring 215

Monitoring Artificial Intelligence Performance Analytics 215

Scalegrid

FEBRUARY 8, 2024

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.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

JANUARY 8, 2024

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.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

FEBRUARY 1, 2024

The Infrastructure & Operations app provides a comprehensive overview for effective prioritization The new Infrastructure & Operations app provides situational awareness to help ops and SRE teams group and categorize problems efficiently based on their impact. This allows you to pinpoint troubled data centers at a glance.

Infrastructure 171

Infrastructure Metrics Network Monitoring 171

Dynatrace

OCTOBER 14, 2022

Log data provides a unique source of truth for debugging applications, optimizing infrastructure, and investigating security incidents. This contextualization of log data enables AI-powered problem detection and root cause analysis at scale. Dynamic landscape and data handling requirements result in manual work.

Storage 216

Storage Government Network Infrastructure 216

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. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events.

Systems 178

Systems Cloud Analytics DevOps 178

Dynatrace

JUNE 6, 2023

Kubernetes enables efficient resource utilization by easily scaling applications and services based on demand. Networking. Large-scale, multicloud deployments can introduce challenges related to network visibility and interoperability. Bad actors can use misconfigurations to gain access to sensitive data. Self-healing.

Open Source 181

Open Source Storage Analytics Innovation 181

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. These include popular technologies such as web servers and web applications, along with advanced solutions like distributed data stores and containerized microservices.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

JANUARY 31, 2024

Figure 1: Host coverage overview This data is used to complete the topology in Smartscape. Efficient service discovery and automatic recommendations As soon as OneAgent is deployed on previously unmonitored hosts, it shows all findings gathered with lightweight eBPF Service Discovery.

Analytics 165

Analytics Infrastructure Monitoring Cloud 165

The Netflix TechBlog

MARCH 5, 2019

As a micro-service owner, a Netflix engineer is responsible for its innovation as well as its operation, which includes making sure the service is reliable, secure, efficient and performant. In the Reliability space, our data teams focus on two main approaches. Canaries ), detection and improved KPIs.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Scalegrid

MARCH 14, 2024

Implementing a hybrid cloud solution involves careful decision-making regarding application and data placement, migration strategies, and choosing compatible cloud service providers while ensuring seamless integration and addressing security and compliance challenges. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., Anchored in the primary use case of supporting Google’s YouTube business, what we’re looking at here could well be the future of data processing at Google. Because they had too many data processing systems! ;). VLDB’19. are divided.

Analytics 75

Analytics Latency Cache Google 75

Dynatrace

SEPTEMBER 21, 2023

As global warming advances, growing IT carbon footprints are pushing energy-efficient computing to the top of many organizations’ priority lists. Energy efficiency is a key reason why organizations are migrating workloads from energy-intensive on-premises environments to more efficient cloud platforms.

Energy 222

Energy Cloud Airlines Strategy 222

The Netflix TechBlog

JANUARY 11, 2022

Here we describe the role of Experimentation and A/B testing within the larger Data Science and Engineering organization at Netflix, including how our platform investments support running tests at scale while enabling innovation. Curious to learn more about other Data Science and Engineering functions at Netflix?

Innovation 243

Innovation Metrics Engineering Testing 243

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 236

AWS Efficiency Azure Cloud 236

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. Analysis of such large data sets often requires powerful distributed data stores like Hadoop and heavy data processing with techniques like MapReduce.

Analytics 191

Analytics Traffic Big Data Efficiency 191

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. AWS Transit Gateway is a service offering from Amazon Web Services that connects network resources via a centralized hub.

AWS 207

AWS Transportation Network Traffic 207

Scalegrid

DECEMBER 14, 2023

MongoDB drivers provide several options for Mongo clients to handle different network timeout errors that may occur during usage. For example, your payment history might be on one database cluster and your analytics records on another cluster. Knowing about these types of timeouts is essential for mastering MongoDB usage.

Java 130

Java Network Servers Database 130

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 130

Cache Storage Scalability Architecture 130

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. Redis®, a powerful in-memory data store, is no exception. This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

JUNE 5, 2023

The F5 BIG-IP Local Traffic Manager (LTM) is an application delivery controller (ADC) that ensures the availability, security, and optimal performance of network traffic flows. Manage and optimize the deployment and configuration of F5 BIG-IP appliances or virtual instances across multiple data centers or cloud environments.

Traffic 183

Traffic Virtualization Metrics Monitoring 183

Dynatrace

DECEMBER 15, 2022

Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. Additionally, they manage applications and services deployed on the network and provide secure access to authorized users.

Artificial Intelligence 191

Artificial Intelligence DevOps Hardware Virtualization 191

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . In-Memory Data Grids for Fast-Changing Data. For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache.

Analytics 52

Analytics Airlines Cache Scalability 52

Scalegrid

JANUARY 11, 2024

Continuous cloud monitoring enables real-time detection and response to incidents, with best practices highlighting the importance of assessing cloud service providers, adopting layered security, and leveraging automation for efficient scanning and monitoring.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . In-Memory Data Grids for Fast-Changing Data. For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

SEPTEMBER 30, 2021

Not only will they get much more out of the tools they use daily, but they’ll also be able to deliver superior functionality, efficiency, and performance to your customers. In addition, 45% of them have gone on to implement efficiencies in their roles, and 43% reported they were able to do their job more quickly after getting certified.

AWS 198

AWS Best Practices Analytics Cloud 198

Dynatrace

APRIL 26, 2022

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). One of the key advantages of DEM is its versatility.

Monitoring 192

Monitoring Social Media IoT Metrics 192

Dynatrace

FEBRUARY 16, 2023

More importantly, these tools are fundamentally backward-looking, lacking both the time and dimensional granularity required for carbon-emission analytics and optimization insights. Environmental sustainability emphasizes our collective responsibility to take action; for this, we need intelligence and analytics, not just historical reports.

Energy 177

Energy Airlines Analytics Transportation 177

Dynatrace

JULY 18, 2022

OpenTelemetry provides a set of vendor-agnostic application program interfaces (APIs) to create a common way to instrument applications and collect data from logs and traces across a wide variety of frameworks and languages. The Cloud Native Computing Foundation has been promoting OpenTelemetry as a way to unify data collection.

Artificial Intelligence 182

Artificial Intelligence Open Source Analytics Monitoring 182