ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

MAY 17, 2023

The next level of observability: OneAgent In the first two parts of our series, we used OpenTelemetry to manually instrument our application and send the telemetry data straight to the Dynatrace analytics back end. Let’s take our previous screenshot as an example. Yet, we have two entries for these two services in our list.

Metrics 168

Metrics Monitoring Database Network 168

Scalegrid

FEBRUARY 8, 2024

At its core, a distributed storage system comprises three main components: a controller for managing the system’s operations, an internal datastore where information is held, and databases geared towards ensuring scalability, partitioning capabilities, and high availability for all types of data.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. Examples include associations with Google Docs, Facebook chat group interactions, streaming live forex market feeds, and managing trading notices.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. Let’s dive in and learn how (and what) to effectively monitor MySQL performance, along with examples from PMM, by understanding the critical KPIs to watch for.

Performance 106

Performance Monitoring Traffic Database 106

The Netflix TechBlog

MARCH 10, 2023

Production Use Cases Real-Time APIs (backed by the Cassandra database) for asset metadata access don’t fit analytics use cases by data science or machine learning teams. Following is the example of tables primary and clustering keys defined: Figure 2. Some of the common supported data reprocessing use cases are listed below.

Media 237

Media Traffic Processing Design 237

Dynatrace

NOVEMBER 3, 2021

For example, we can actively watch a single metric for changes that indicate a problem — this is monitoring. For example, when monitoring a database, you’ll want to know about any latency when writing data to a disk or average query response time.

Monitoring 216

Monitoring Metrics DevOps Scalability 216

VoltDB

FEBRUARY 28, 2018

At first glance, it may seem like a new type of database. However, a closer look shows that blockchain and translytical databases are better together. Blockchain as a Database Isn’t Enough for the Enterprise. NewSQL Databases for Blockchain Innovation. But there’s still plenty of confusion surrounding the topic.

Blockchain 45

Blockchain Technology Technology Database 45

Dynatrace

JULY 6, 2020

In addition to providing visibility for core Azure services like virtual machines, load balancers, databases, and application services, we’re happy to announce support for the following 10 new Azure services, with many more to come soon: Virtual Machines (classic ones). Effortlessly optimize Azure database performance.

Azure 146

Azure Cloud Big Data Virtualization 146

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

VoltDB

FEBRUARY 28, 2018

At first glance, it may seem like a new type of database. However, a closer look shows that blockchain and translytical databases are better together. Blockchain as a Database Isn’t Enough for the Enterprise. NewSQL Databases for Blockchain Innovation. But there’s still plenty of confusion surrounding the topic.

Blockchain 40

Blockchain Technology Technology Database 40

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

Dynatrace

JUNE 25, 2021

Distributed tracing describes the act of following a transaction through all participating applications (tiers) and sub-systems, such as databases. Figure 2: Broken path examples with incompatible middleware ID formats and different monitoring systems. Let me give you an example. In both cases, a broken trace will be the result.

Open Source 197

Open Source Monitoring Google Systems 197

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. Scaleout StreamServer® DT was created to meet this need.

IoT 52

IoT Azure Analytics Healthcare 52

Dotcom-Montior

NOVEMBER 24, 2021

Do you have a database? Was the database running? The last item to check was if the web server was able to talk to the database? The last item to check was if the web server was able to talk to the database? Ok, so maybe that is an oversimplified example, but you get the point. Blockchain is a good example of this.

Systems 74

Systems Monitoring Hardware Network 74

Dotcom-Montior

MAY 12, 2020

Network latency. Database connectivity. Network Latency. With the evolution of cloud technologies, such as Single Page Applications (SPAs), Web APIs, and Model View Controller (MVC), network latency has become a crucial factor to be monitored. Network latency can be affected due to. Database Connectivity.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

The Netflix TechBlog

OCTOBER 19, 2020

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which Using simple lookup indices in Cassandra gives us the ability to maintain acceptable read latencies while doing heavy writes. which is difficult when troubleshooting distributed systems.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

n0derunner

SEPTEMBER 17, 2018

It is very common to have large resource-hungry databases separated across nodes using anti-affinity rules. A particular problem occurs when a reporting / analytical workload shares storage with a transactional workload. The key thing to observe is the impact on the latency sensitive (OLTP) workload. 10 Outstanding IOs.

Performance Testing 40

Performance Testing Benchmarking Testing Performance 40

HammerDB

OCTOBER 18, 2019

HammerDB doesn’t publish competitive database benchmarks, instead we always encourage people to be better informed by running their own. GHz over the snapshot time with a couple of examples below. hardware limits: 1000 MHz - 4.00 bin/pgbench -c 1 -S -T 60 pgbench starting vacuum.end. 3823 2694 -- 0 4 4 2864 74.83 3834 2696 .

Benchmarking 63

Benchmarking Performance Hardware C++ 63

Smashing Magazine

AUGUST 3, 2023

But once we had a good understanding, we knew exactly what to look for and began analyzing the analytics of our user data to identify areas that could be improved. We can then forward this data to a custom analytics service. Here are some examples: Looker Studio filter. One of the key Next.js

Performance 74

Performance Cache Traffic Metrics 74

Dotcom-Montior

DECEMBER 8, 2021

The IT service catalog is typically a database or resource that an organization creates to provide users with information on their operational services and offerings. Knowing when and where an error, downtime, or application latency occurs is a critical factor in limiting the impact to users and customers. Service Catalog.

Social Media 90

Social Media Monitoring Latency DevOps 90

HammerDB

DECEMBER 5, 2020

For example HammerDB has not used tpmC terminology to report TPC-C based metrics instead using TPM and NOPM nomenclature. A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. This was both expensive and time consuming to configure.

C++ 40

C++ Benchmarking Virtualization Open Source 40

Highly Scalable

AUGUST 20, 2013

This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time.

Big Data 154

Big Data Processing Lambda Database 154

All Things Distributed

AUGUST 16, 2011

There are different considerations when deciding where to allocate resources with latency and cost being the two obvious ones, but compliance sometimes plays an important role as well. One particular early use case for AWS GovCloud (US) will be massive data processing and analytics. Driving down the cost of Big-Data analytics.

AWS 111

AWS Government Big Data Cloud 111

IO River

NOVEMBER 15, 2023

For example, if a request activates a rule designed to block SQL injection attempts, the WAF might automatically block that request, preventing it from reaching your web application.‍Security You'll have logs and analytics scattered across different CDNs.

Traffic 52

Traffic Network Logistics Architecture 52

The Netflix TechBlog

JULY 26, 2021

Operational Reporting is a reporting paradigm specialized in covering high-resolution, low-latency data sets, serving detailed day-to-day activities¹ and processes of a business domain. In the initial stage, data consumers set up ETL pipelines directly pulling data from databases. See example below. tactical) in nature.

Big Data 253

Big Data Government Analytics Processing 253

All Things Distributed

DECEMBER 3, 2009

This new Region consists of multiple Availability Zones and provides low-latency access to the AWS services from for example the Bay Area. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Job Openings in AWS - Senior Leader in Database Services. blog comments powered by Disqus.

AWS 60

AWS Cloud Latency Storage 60

The Morning Paper

SEPTEMBER 12, 2019

Declarative recursive computation on an RDBMS… or, why you should use a database for distributed machine learing Jankov et al., Machine learning inside a relational database has been done before, most notably in the form of MADlib , which was integrated into Greenplum during my time at Pivotal. VLDB’19.

Network 44

Network Database Programming Hardware 44

Speed Curve

SEPTEMBER 4, 2013

Why speed matters, examples of the impact saving a few seconds of load time has had on revenue and engagement. Bandwidth, latency and it's fundamental impact on the speed of the web. Real User Monitoring (RUM) Pingdom New Relic (also backend, database and server health monitoring) Google Analytics mPulse. References.

Speed 40

Speed Benchmarking Latency Mobile 40

All Things Distributed

JULY 13, 2010

Further computationally intensive, highly parallel workloads have found their way to Amazon EC2 as businesses have explored using HPC types of algorithms for other application categories, for example to to process very large unstructured data sets for Business Intelligence applications. Driving down the cost of Big-Data analytics.

Cloud 118

Cloud AWS Automotive Latency 118

IO River

NOVEMBER 2, 2023

For example, if a request activates a rule designed to block SQL injection attempts, the WAF might automatically block that request, preventing it from reaching your web application.‍Security Flywheel‍‍When it comes to fortifying web applications, think of security as a flywheel—an ever-revolving cycle that gains momentum with each turn.

Traffic 40

Traffic Network Logistics Architecture 40

O'Reilly Software

APRIL 4, 2018

Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. We usually relate SQL to querying tables in relational databases. Apache Kafka is currently the leading project in this area.

Architecture 80

Architecture Scalability Google Operating System 80

All Things Distributed

DECEMBER 5, 2010

A simple example is the situation with Persons and Telephones; a person has a name, a person can have one or more telephones and each phone can have one or more telephone numbers. Modern systems require much faster update propagation to for example deal with outages. Job Openings in AWS - Senior Leader in Database Services.

Cloud 117

Cloud Internet Internet AWS 117

HammerDB

OCTOBER 12, 2018

As with the previous guides as an Intel employee (#IAMINTEL) the examples are taken from a MySQL 8 on Linux on Intel system and the approach is the same for whatever system you are testing although some of the settings you see may be different. Similarly for this guide MySQL can be swapped for a mySQL based databases such as MariaDB.

Best Practices 40

Best Practices Scalability Performance C++ 40

All Things Distributed

APRIL 28, 2010

There are four main reasons to do so: Performance - For many applications and services, data access latency to end users is important. The new Singapore Region offers customers in APAC lower-latency access to AWS services. For example, objects stored in the EU (Ireland) Region never leave the EU. Expanding the Cloud â??

AWS 61

AWS Cloud Latency Storage 61

Alex Russell

MARCH 6, 2021

The Moto G4 , for example. Sadly, data on latency is harder to get, even from Google's perch, so progress there is somewhat more difficult to judge. CrUX data collection and first-party RUM analytics of these metrics require live traffic, meaning results can be predicted but only verified once deployed.

Performance 124

Performance Network Cache Metrics 124

All Things Distributed

JULY 14, 2015

I am excited to share with you that today we are expanding DynamoDB with streams, cross-region replication, and database triggers. In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database. DynamoDB Cross-region Replication.

Database 167

Database Lambda AWS IoT 167