DZone

DECEMBER 27, 2023

The need to optimize offline data pipeline optimization has become a necessity with the growing complexity and scale of modern data pipelines. In this kickoff post, we delve into the intricacies of Apache Airflow and AWS EMR, a managed cluster platform for big data processing.

Best Practices 130

Best Practices Data Engineering Big Data Games 130

High Scalability

SEPTEMBER 14, 2020

This is a guest post by Limor Maayan-Wainstein , a senior technical writer with 10 years of experience writing about cybersecurity, big data, cloud computing, web development, and more. Traditionally, HPC solutions provided mainly supercomputers.

Cloud 261

Cloud Big Data Virtualization Efficiency 261

DZone

JANUARY 20, 2023

There is a countless number of enterprises, particularly Internet giants, that have explored ways to make graph data processing scalable. Having a distributed and scalable graph database system is highly sought after in many enterprise scenarios.

Scalability 201

Scalability Big Data Hardware Internet 201

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 187

Software Software Analytics Big Data 187

The Netflix TechBlog

MARCH 4, 2024

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. After a fixed number of iterations is exhausted, the optimizer returns the “best” configuration solution (i.e.,

Tuning 210

Tuning Efficiency Big Data Engineering 210

Dynatrace

OCTOBER 25, 2022

Thus, NoOps became a loosely defined concept that initially proposed only leveraging cloud-based PaaS and IaaS solutions that freed up operations from provisioning infrastructure and deploying applications. Traditional AIOps uses machine-learning models to deliver data to dashboards using aggregation and correlation.

DevOps 217

DevOps Big Data Cloud Innovation 217

Dynatrace

OCTOBER 4, 2022

As a result, organizations can move away from hybrid lake-warehouse models that see data duplicated to ensure accessibility. Utilizing standardized object storage solutions, data lakehouses offer the same cost-effectiveness and control as data lakes. Data warehouses. Cost control. Lack of visibility.

Artificial Intelligence 208

Artificial Intelligence Analytics Storage Government 208

DZone

DECEMBER 21, 2020

Applications used in the field of Big Data process huge amounts of information, and this often happens in real time. Naturally, such applications must be highly reliable so that no error in the code can interfere with data processing. The PVS-Studio static analyzer is one of the solutions to this problem.

Code 150

Code Java Big Data Open Source 150

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. To achieve these AIOps benefits, comprehensive AIOps tools incorporate four key stages of data processing: Collection. Aggregation.

Artificial Intelligence 285

Artificial Intelligence Cloud Innovation Strategy 285

Scalegrid

MARCH 28, 2024

Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios. Managed DBaaS solutions like ScaleGrid.io Top In-Memory Data Store for Your Needs Redis and Memcached are powerful in-memory data stores with unique features, advantages, and disadvantages.

Cache 130

Cache Storage Scalability Architecture 130

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

Dynatrace

AUGUST 14, 2023

How to choose the right behavior analytics solution While many analytics tools can supply raw data points such as conversion rates and bounce rates, only with the necessary contextual insight can organizations determine why users are taking specific actions. An advanced analytics solution should include the following capabilities.

Analytics 229

Analytics Social Media Website IoT 229

Uber Engineering

JUNE 1, 2023

Uber runs more than 100K big data workloads per day using Apache Spark–at that scale it’s crucial to write optimized apps. The Delivery Data Solutions team built Spark Analysers, a real-time system to catch anti-patterns in the Spark application at Uber scale, helping Uber developers optimize their apps.

Big Data 82

Big Data Systems Development 82

Dynatrace

JANUARY 11, 2023

In fact, according to a Dynatrace global survey of 1,300 CIOs , 99% of enterprises utilize a multicloud environment and seven cloud monitoring solutions on average. Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure. What is cloud monitoring?

Cloud 222

Cloud Monitoring Best Practices Infrastructure 222

Dynatrace

OCTOBER 4, 2022

Full access to all relevant observability, security, and business data is essential to address unforeseen issues and enable proactive efforts to prevent service degradation and outages. Traditional solutions and approaches are inefficient given the number of manual tasks that are required for effective log data ingest.

Analytics 234

Analytics Artificial Intelligence Storage Serverless 234

Dynatrace

JANUARY 16, 2023

That trend will likely continue as Kubernetes security awareness further rises and a new class of security solutions becomes available. Across all categories in the Kubernetes survey, open source projects rank among the most frequently used solutions. This corresponds to an annual growth rate of +55%.

Open Source 342

Open Source Java Operating System Programming 342

Dynatrace

DECEMBER 15, 2022

AIOps (artificial intelligence for IT operations) combines big data, AI algorithms, and machine learning for actionable, real-time insights that help ITOps continuously improve operations. The three core components of an AIOps solution are the following: 1. ITOps vs. AIOps.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

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. This second solution picks up at data collection, aggregation, and analysis, preparing it for execution.

DevOps 195

DevOps Artificial Intelligence Healthcare Innovation 195

DZone

DECEMBER 21, 2020

Setting up a data warehouse is the first step towards fully utilizing big data analysis. Still, it is one of many that need to be taken before you can generate value from the data you gather. An important step in that chain of the process is data modeling and transformation.

Big Data 189

Big Data Google Scalability Processing 189

The Netflix TechBlog

JUNE 1, 2021

clinical data was often small enough to fit into memory on an average computer and only in rare cases would its computation require any technical ingenuity or massive computing power. There was not enough scope to explore the distributed and large-scale computing challenges that usually come with big data processing.

Data Engineering 130

Data Engineering Engineering Big Data Healthcare 130

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” What are the components of a modern AIOps solution?

Artificial Intelligence 212

Artificial Intelligence DevOps Innovation Metrics 212

Dynatrace

APRIL 21, 2021

To do this effectively, you need a big data processing approach. While these guidelines provide clues as to what types of changes organizations may need to make to get that ‘passing’ score, this alone is not enough information to pass to developers when it comes time to implement a solution.

Traffic 263

Traffic Metrics Mobile Analytics 263

The Netflix TechBlog

MAY 4, 2023

Replay Solution The replay traffic testing solution comprises two essential components. 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

The Morning Paper

OCTOBER 26, 2020

Helios also serves as a reference architecture for how Microsoft envisions its next generation of distributed big-data processing systems being built. What follows is a discussion of where big data systems might be heading, heavily inspired by the remarks in this paper, but with several of my own thoughts mixed in.

Cloud 104

Cloud Big Data Latency Architecture 104

ScaleOut Software

JULY 19, 2021

And it can maintain contextual information about every data source (like the medical history of a device wearer or the maintenance history of a refrigeration system) and keep it immediately at hand to enhance the analysis.

IoT 78

IoT Analytics Big Data Architecture 78

Dynatrace

APRIL 20, 2023

Using Grail to heal observability pains Grail logs not only store big data, but also map out dependencies to enable fast analytics and data reasoning. Grail powered with DQL, on the other hand, goes beyond standard operators and text search with a powerful data exploration and transformation engine.

Analytics 187

Analytics Infrastructure Storage Efficiency 187

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. Open source solutions are also making tracing harder.

Analytics 185

Analytics Innovation Metrics Database 185

The Netflix TechBlog

JUNE 7, 2021

Cloud Network Insight is a suite of solutions that provides both operational and analytical insight into the cloud network infrastructure to address the identified problems. After several iterations of the architecture and some tuning, the solution has proven to be able to scale.

Network 325

Network Transportation AWS Cloud 325

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 181

Infrastructure Cloud Azure AWS 181

Dynatrace

MARCH 11, 2021

I took a big-data-analysis approach, which started with another problem visualization. Ultimately I wanted to avoid creating too many tickets in our ITSM solution. To achieve that I took two approaches: Visualizing historic problem data via a “Swimlane Visualization”. But that didn’t work for me.

Tuning 263

Tuning Architecture Monitoring Big Data 263

Dynatrace

MARCH 14, 2022

AIOps (or “AI for IT operations”) uses artificial intelligence so that big data can help IT teams work faster and more effectively. As healthcare providers consider AIOps solutions, they should evaluate whether traditional AIOps approaches designed for correlation can enable long-term success.

Healthcare 227

Healthcare Artificial Intelligence Innovation Strategy 227

Percona

MARCH 15, 2023

Physical backups in PBM were introduced a few months ago, and, with those, we saw significant improvement in recovery time (read more in this blog post, Physical Backup Support in Percona Backup for MongoDB ): So if we want to reduce the Recovery Time Objective (RTO) for big data sets, we must provide physical backups and restores in the Operator.

Database 84

Database Big Data Processing Servers 84

Percona

JANUARY 19, 2023

Some of them are: MySQL Cluster: MySQL NDB Cluster is an in-memory database clustering solution developed by Oracle for MySQL. ProxySQL: It is a feature-rich open-source MySQL proxy solution, that allows query routing for the most common MySQL architectures (PXC/Galera, Replication, Group Replication, etc.).

Open Source 86

Open Source Storage Database Big Data 86

All Things Distributed

DECEMBER 8, 2016

Given this, enterprises, public sector bodies, startups, and small businesses are looking to adopt agile, scalable, and secure public cloud solutions. Some examples of how current customers use AWS are: Cost-effective solutions. Kik Interactive is a Canadian chat platform with hundreds of millions of users around the globe.

AWS 155

AWS Cloud Lambda Innovation 155

Dynatrace

JUNE 1, 2020

” How to evaluate a APM solution? Artificial intelligence for IT operations (AIOps): AIOps platforms combine big data and machine learning functionality to support IT operations.

Artificial Intelligence 182

Artificial Intelligence Social Media Monitoring IoT 182

All Things Distributed

JUNE 20, 2017

Today we have local teams in Hong Kong to help customers of all sizes as they move to AWS, including account managers, solutions architects, business developers, partner managers, professional services consultants, technology evangelists, start-up community developers, and more. In 2013, AWS opened an office in Hong Kong.

AWS 149

AWS Logistics Cloud Social Media 149

All Things Distributed

JUNE 26, 2016

AdiMap uses Amazon Kinesis to process real-time streaming online ad data and job feeds, and processes them for storage in petabyte-scale Amazon Redshift. Advanced problem solving that connects big data with machine learning. warehouses to glean business insights for jobs, ad spend, or financials for mobile apps.

AWS 90

AWS Cloud Healthcare Blockchain 90