DZone

FEBRUARY 6, 2024

If the data sources are not available then customized plugins can be developed to integrate these data sources. Grafana is used widely these days to monitor and visualize the metrics for 100s or 1000s of servers, Kubernetes Platforms, Virtual Machines, Big Data Platforms, etc.

Big Data 161

Big Data Open Source Virtualization Metrics 161

The Morning Paper

SEPTEMBER 8, 2019

Experiences with approximating queries in Microsoft’s production big-data clusters Kandula et al., Microsoft’s big data clusters have 10s of thousands of machines, and are used by thousands of users to run some pretty complex queries. VLDB’19. For the larger more production-like query analysed in §4.2.1,

Big Data 57

Big Data Analytics Latency Azure 57

DZone

FEBRUARY 1, 2023

Built on Azure Blob Storage, Azure Data Lake Storage Gen2 is a suite of features for big data analytics. Azure Data Lake Storage Gen1 and Azure Blob Storage's capabilities are combined in Data Lake Storage Gen2. For instance, Data Lake Storage Gen2 offers scale, file-level security, and file system semantics.

Azure 243

Azure Storage Big Data Analytics 243

DZone

JANUARY 19, 2023

Because with the advent of cloud providers, we are less worried about managing data centers. Everything is available within seconds on-demand. This leads to an increase in the size of data as well. Big data is generated and transported using various mediums in single requests.

Best Practices 255

Best Practices Transportation Big Data Latency 255

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

MAY 1, 2023

Then, big data analytics technologies, such as Hadoop, NoSQL, Spark, or Grail, the Dynatrace data lakehouse technology, interpret this information. Here are the six steps of a typical ITOA process : Define the data infrastructure strategy. Why use a data lakehouse for causal AI? Why is ITOA important? Apache Spark.

Analytics 193

Analytics Artificial Intelligence Big Data Open Source 193

The Netflix TechBlog

OCTOBER 28, 2021

Netflix’s unique work culture and petabyte-scale data problems are what drew me to Netflix. During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics. You can learn more about it from my talk at the Flink forward conference.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

Dynatrace

JUNE 26, 2023

Software analytics offers the ability to gain and share insights from data emitted by software systems and related operational processes to develop higher-quality software faster while operating it efficiently and securely. This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI.

Software 193

Software Software Analytics Big Data 193

The Netflix TechBlog

JULY 21, 2022

More importantly, the low resource availability or “out of memory” scenario is one of the common reasons for crashes/kills. We at Netflix, as a streaming service running on millions of devices, have a tremendous amount of data about device capabilities/characteristics and runtime data in our big data platform.

Big Data 179

Big Data Cache Engineering Data Engineering 179

All Things Distributed

NOVEMBER 15, 2016

Today, I am very happy to announce that QuickSight is now generally available in the N. When we announced QuickSight last year, we set out to help all customers—regardless of their technical skills—make sense out of their ever-growing data. Put simply, data is not always readily available and accessible to organizational end users.

Analytics 152

Analytics Availability Media Social Media 152

Dynatrace

OCTOBER 4, 2022

Several pain points have made it difficult for organizations to manage their data efficiently and create actual value. Limited data availability constrains value creation. Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes.

Analytics 240

Analytics Artificial Intelligence Storage Serverless 240

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Using network queue depths alone is enough to signal a large fraction of QoS violations, although smaller than when the full instrumentation is available. ASPLOS’19.

Big Data 45

Big Data Cloud Performance Hardware 45

Dynatrace

JANUARY 11, 2023

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. Website monitoring examines a cloud-hosted website’s processes, traffic, availability, and resource use. Database monitoring.

Cloud 227

Cloud Monitoring Best Practices Infrastructure 227

DZone

JULY 29, 2019

These processes are only possible with a distributed architecture and parallel processing mechanisms that Big Data tools are based on. One of the top trending open-source data storage that responds to most of the use cases is Elasticsearch.

Big Data 157

Big Data Government Open Source Storage 157

Dynatrace

MARCH 24, 2023

This orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles. Part of its popularity owes to its availability as a managed service through the major cloud providers, such as Amazon Elastic Kubernetes Service , Google Kubernetes Engine , and Microsoft Azure Kubernetes Service.

Infrastructure 191

Infrastructure Open Source Operating System Cloud 191

Dynatrace

AUGUST 10, 2021

The key driver for this action is to expose a view of current service availability to BPAY customers, drawing on Dynatrace insights. She dispelled the myth that more big data equals better decisions, higher profits, or more customers. Investing in data is easy but using it is really hard”. No matter how much you collect.

DevOps 246

DevOps Innovation Big Data Cloud 246

Scalegrid

MARCH 28, 2024

Advanced Redis Features Showdown Big data center concept, cloud database, server power station of the future. Data transfer technology. Cube or box Block chain of abstract financial data. Resilience and Reliability: High Availability Solutions Modern applications require high availability, which Redis and Memcached meet.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

JULY 6, 2020

Our customers have frequently requested support for this first new batch of services, which cover databases, big data, networks, and computing. See the health of your big data resources at a glance. Azure Virtual Network Gateways. Azure Front Door. Azure Traffic Manager.

Azure 150

Azure Cloud Big Data Virtualization 150

The Netflix TechBlog

JULY 26, 2021

From the moment a Netflix film or series is pitched and long before it becomes available on Netflix, it goes through many phases. Data connectivity across Netflix Studio and availability of Operational Reporting tools also incentivizes studio users to avoid forming data silos. The audits check for equality (i.e.

Big Data 253

Big Data Government Analytics Processing 253

The Netflix TechBlog

MARCH 25, 2019

Netflix Data Landscape Freedom & Responsibility (F&R) is the lynchpin of Netflix’s culture empowering teams to move fast to deliver on innovation and operate with freedom to satisfy their mission. As a result, a single consolidated and centralized source of truth does not exist that can be leveraged to derive data lineage truth.

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

The Netflix TechBlog

MAY 4, 2023

It provides a good read on the availability and latency ranges under different production conditions. Additionally, for mismatches, we record the normalized and unnormalized responses from both sides to another big data table along with other relevant parameters, such as the diff.

Traffic 339

Traffic Latency Tuning Systems 339

DZone

AUGUST 4, 2022

Spark-Radiant is now available and ready to use. is available in Maven central. In this blog, I will discuss the availability of Spark-Radiant 1.0.4, The dependency for Spark-Radiant 1.0.4 features to boost the performance , reduce the cost, and the increased observability for Spark Application.

Performance 246

Performance Metrics Availability Big Data 246

Dynatrace

MARCH 14, 2022

With so much at stake, the directive for IT and security teams became even more concrete: clinicians need systems that are available at any time and from anywhere, they could not experience outages, and they could not be vulnerable to cyberattacks. AIOps plays a critical role in this app’s availability.

Healthcare 232

Healthcare Artificial Intelligence Innovation Strategy 232

Dynatrace

DECEMBER 15, 2022

ITOps is also responsible for configuring, maintaining, and managing servers to provide consistent, high-availability network performance and overall security, including a disaster readiness plan. These teams also perform routine daily tasks, negotiate IT vendor contracts, and oversee IT upgrades. ITOps vs. AIOps.

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

Dynatrace

JANUARY 16, 2023

That trend will likely continue as Kubernetes security awareness further rises and a new class of security solutions becomes available. Big data : To store, search, and analyze large datasets, 32% of organizations use Elasticsearch. This corresponds to an annual growth rate of +55%.

Open Source 347

Open Source Java Operating System Programming 347

The Netflix TechBlog

MAY 26, 2020

Network Availability: The expected continued growth of our ecosystem makes it difficult to understand our network bottlenecks and potential limits we may be reaching. These characteristics allow for an on-call response time that is relaxed and more in line with traditional big data analytical pipelines.

Network 150

Network Tuning AWS Big Data 150

Dynatrace

APRIL 25, 2023

Exploratory analytics with collaborative analytics capabilities can be a lifeline for CloudOps, ITOps, site reliability engineering, and other teams struggling to access, analyze, and conquer the never-ending deluge of big data. These analytics can help teams understand the stories hidden within the data and share valuable insights.

Analytics 206

Analytics Big Data Media Operating System 206

The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. The processed data is typically stored as data warehouse tables in AWS S3.

Latency 243

Latency Storage Big Data Tuning 243

The Netflix TechBlog

JUNE 7, 2021

Network Availability: The expected continued growth of our ecosystem makes it difficult to understand our network bottlenecks and potential limits we may be reaching. The data is also used by security and other partner teams for insight and incident analysis.

Network 325

Network Transportation AWS Cloud 325

Dynatrace

FEBRUARY 16, 2023

As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022.

Analytics 191

Analytics Innovation Metrics Database 191

Dynatrace

JUNE 1, 2020

Application Performance Monitoring (APM) in its simplest terms is what practitioners use to ensure consistent availability, performance, and response times to applications. And this isn’t even the full extent of the types of monitoring tools available out there. Dynatrace news. ” How to evaluate a APM solution?

Artificial Intelligence 184

Artificial Intelligence Social Media Monitoring IoT 184

Dynatrace

JUNE 29, 2022

A hybrid cloud, however, combines public infrastructure and services with on-premises resources or a private data center to create a flexible, interconnected IT environment. Hybrid environments provide more options for storing and analyzing ever-growing volumes of big data and for deploying digital services.

Infrastructure 187

Infrastructure Cloud Azure AWS 187

Dynatrace

JUNE 1, 2020

Application Performance Monitoring (APM) in its simplest terms is what practitioners use to ensure consistent availability, performance, and response times to applications. And this isn’t even the full extent of the types of monitoring tools available out there. Dynatrace news.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

Scalegrid

MARCH 14, 2024

Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. Of course, this information must be available to the AI and, therefore, part of the entity. How AI helps human operators.

DevOps 202

DevOps Artificial Intelligence Healthcare Innovation 202

All Things Distributed

DECEMBER 13, 2016

Today, I'm happy to announce that the AWS Europe (London) Region, our 16th technology infrastructure region globally, is now generally available for use by customers worldwide. Fraud.net use AWS to support highly scalable, big data applications that run machine learning processes for real-time analytics.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

The Netflix TechBlog

FEBRUARY 16, 2021

For example, our business requirements dictate that a mobile plan should be available for specific markets only, while the rest of the world receives the default set of plans. Here is a sample visualization of our mobile plan availability rules: Visualization is just the first step in our endeavor to make this a truly self-service platform.

Mobile 209

Mobile Engineering Infrastructure Scalability 209