Percona

SEPTEMBER 1, 2023

MySQL performance tuning offers several significant advantages for effective database management and optimization. Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. Experiencing database performance issues?

Tuning 52

Tuning Database Performance Hardware 52

Dynatrace

APRIL 5, 2021

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Real-time file processing, for quickly indexing files, processing logs, and validating content. A new record entering a database table.

Lambda 181

Lambda AWS Serverless Hardware 181

Dynatrace

SEPTEMBER 30, 2021

Cloud migration is the process of transferring some or all your data, software, and operations to a cloud-based computing environment that offers unlimited scale and high availability. A key step in digital transformation is migrating from traditional on-prem IT processes to adopting cloud services. Increased scalability.

Cloud 167

Cloud Traffic Best Practices Strategy 167

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. The process started with manual pull of member account information that was part of the session.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

VoltDB

JULY 10, 2018

But that fully self sufficient nature means that each of these services have their own end-to-end full stack of technology, including database. If the data is common between multiple services, the database layer gets extricated out of microservices in favor of the creation of a common shared data layer. Problem solved, right?

Architecture 40

Architecture Scalability Ecommerce Latency 40

VoltDB

JULY 10, 2018

But that fully self sufficient nature means that each of these services have their own end-to-end full stack of technology, including database. If the data is common between multiple services, the database layer gets extricated out of microservices in favor of the creation of a common shared data layer. Problem solved, right?

Architecture 40

Architecture Scalability Ecommerce Latency 40

The Netflix TechBlog

AUGUST 30, 2021

The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post. In-Order Processing The semantics of correct device information updates ingestion requires that messages be consumed in the order that they are produced.

Latency 213

Latency Traffic Transportation Hardware 213

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

VoltDB

FEBRUARY 28, 2018

And the landscape will only become more crowded as the world’s largest companies work through the R&D process. 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.

Blockchain 45

Blockchain Technology Technology Database 45

O'Reilly Software

JUNE 12, 2018

Back then, the most common pattern I saw for service-based systems was sharing a database among multiple services. The rationale was simple: the data I need is already in this other database, and accessing a database is easy, so I’ll just reach in and grab what I need. And data was at the heart of the problem.

Database 72

Database Cache Architecture Latency 72

IO River

NOVEMBER 2, 2023

These are unchanging entities, served straight off the server, pre-generated, and devoid of server-side processing. This means that subsequent requests for the same content can be served directly from the cache, eliminating the need for additional server-side processing. This is where Content Delivery Networks (CDNs) come into play.

Cache 52

Cache Social Media Website Performance Website 52

VoltDB

FEBRUARY 28, 2018

And the landscape will only become more crowded as the world’s largest companies work through the R&D process. 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.

Blockchain 40

Blockchain Technology Technology Database 40

IO River

NOVEMBER 2, 2023

These are unchanging entities, served straight off the server, pre-generated, and devoid of server-side processing. This means that subsequent requests for the same content can be served directly from the cache, eliminating the need for additional server-side processing. This is where Content Delivery Networks (CDNs) come into play.

Cache 52

Cache Social Media Website Performance Website 52

The Netflix TechBlog

JANUARY 10, 2024

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

Processing 229

Processing Media Latency Innovation 229

ScaleOut Software

APRIL 6, 2021

Because it runs on a scalable, highly available in-memory computing platform, it can do all this simultaneously for hundreds of thousands or even millions of data sources. This simplifies the installation process and ensures portability across operating systems. Scaleout StreamServer® DT was created to meet this need.

IoT 52

IoT Azure Analytics Healthcare 52

ScaleOut Software

JULY 19, 2021

Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The best they can usually do in real-time using general purpose tools is to filter and look for patterns of interest.

IoT 78

IoT Analytics Big Data Architecture 78

All Things Distributed

NOVEMBER 26, 2013

and enable you to maintain a nearly up-to-date copy of your master database in a different AWS Region. Amazon RDS offers a monthly uptime percentage SLA of 99.95% per Multi-AZ database instance. Cross Region Read Replicas are available for MySQL 5.6

Cloud 147

Cloud AWS Traffic Latency 147

All Things Distributed

FEBRUARY 22, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Amazon SWF is an orchestration service for building scalable distributed applications. A growing number of applications are relying on asynchronous and distributed processing, with scalability of the application as the primary motivation.

Cloud 130

Cloud AWS Java Scalability 130

Dotcom-Montior

DECEMBER 8, 2021

Now that we have talked about what an incident is, incident management is the process by which teams resolve these events and bring systems and services back to normal operation. ITSM is the policies, processes, and structure behind the lifecycle of IT services. Incident Management Lifecyle: Process and Steps. Service Catalog.

Social Media 90

Social Media Monitoring Latency DevOps 90

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. Redis® Monitoring Essentials Ensuring the performance, reliability, and safety of a Redis® database requires active monitoring. Monitoring tools should also be considered when setting up your Redis® database.

Strategy 130

Strategy Monitoring Latency DevOps 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. can enhance Redis by handling management tasks, backups, and scalability, facilitating global reach and easy cloud integration for global businesses.

Cache 130

Cache Storage Scalability Architecture 130

Smashing Magazine

SEPTEMBER 28, 2022

Every unnecessary bit of JavaScript code you bundle and serve will be more code the client has to load and process. Server caches help lower the latency between a Frontend and Backend; since key-value databases are faster than traditional relational SQL databases, it will significantly increase an API’s response time.

Performance 125

Performance Cache Servers Social Media 125

All Things Distributed

SEPTEMBER 25, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Customers can provision up to 10,000 IOPS (input/output operations per second) per database instance to help ensure that their databases can run the most stringent workloads with rock solid, consistent performance. Expanding the Cloud â?? Comments ().

Cloud 118

Cloud AWS Storage Database 118

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. This process effectively duplicates essential parts of information to safeguard against potential loss.

Storage 130

Storage Systems Big Data Azure 130

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. The HammerDB TPROC-C workload by design intended as CPU and memory intensive workload derived from TPC-C – so that we get to benchmark at maximum CPU performance at a much smaller database footprint.

C++ 40

C++ Benchmarking Virtualization Open Source 40

All Things Distributed

NOVEMBER 8, 2012

Werner Vogels weblog on building scalable and robust distributed systems. The Amazon Simple Queue Service (SQS) is a highly scalable, reliable and elastic queuing service that just works. Simple Queue Service (SQS) is very useful, easy to use, scalable and reliable. Amazon SQS provides highly scalable â??eventual

Efficiency 107

Efficiency Cloud Games Scalability 107

The Morning Paper

AUGUST 29, 2019

My key takeaways as a TL;DR: Store your data in S3 Use portable data format that gives you future flexibility to process it with multiple different systems (e.g. It is advantageous in the cloud to shut down compute resources when they are not being used, but there is then a query latency cost. Scalability. Query restrictions.

Architecture 76

Architecture Cloud Storage Serverless 76

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. In particular this has been true for applications based on algorithms - often MPI-based - that depend on frequent low-latency communication and/or require significant cross sectional bandwidth. All Things Distributed. By Werner Vogels on 12 July 2010 05:00 PM.

Cloud 119

Cloud AWS Automotive Latency 119

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

The Netflix TechBlog

FEBRUARY 9, 2021

Introduction and account creation Highlight our value propositions and begin the account creation process. Given the flow and mode, the Orchestration Service can then process the request. Retrieve eligible SKUs from SKU Platform The SKU Platform consists of a rules engine, a database, and application logic.

Engineering 142

Engineering Scalability Architecture Innovation 142

Dynatrace

MAY 13, 2022

Apache Cassandra is an open-source, distributed, NoSQL database. Because of its scalability and distributed architecture, thousands of companies trust it to run their cloud and hybrid-based workloads at high availability without compromising performance. Microsoft Azure offers multiple ways to manage Apache Cassandra databases.

Azure 238

Azure Latency Metrics Infrastructure 238

All Things Distributed

JULY 11, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Spot Instances are ideal for use cases like web and data crawling, financial analysis, grid computing, media transcoding, scientific research, and batch processing. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

AWS 87

AWS Storage Cloud Big Data 87

Dynatrace

MAY 17, 2023

Think about items such as general system metrics (for example, CPU utilization, free memory, number of services), the connectivity status, details of our web server, or even more granular in-application tasks like database queries. This leads us to the process page of our specific Apache instance.

Metrics 173

Metrics Monitoring Database Network 173

All Things Distributed

AUGUST 16, 2011

Werner Vogels weblog on building scalable and robust distributed systems. 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. All Things Distributed. Expanding the Cloud - The AWS GovCloud (US) Region.

AWS 113

AWS Government Big Data Cloud 113

Highly Scalable

SEPTEMBER 18, 2012

Scalability is one of the main drivers of the NoSQL movement. Although it can hardly be said that NoSQL movement brought fundamentally new techniques into distributed data processing, it triggered an avalanche of practical studies and real-life trials of different combinations of protocols and algorithms. Read/Write latency.

Database 213

Database Latency C++ Scalability 213

Percona

MAY 2, 2023

That’s why it’s essential to implement the best practices and strategies for MongoDB database backups. Why are MongoDB database backups important? Regular database backups are essential to protect against data loss caused by system failures, human errors, natural disasters, or cyber-attacks.

Best Practices 52

Best Practices Database Storage Servers 52

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. In the realm of cloud-based business operations, there is an increasing dependence on complex information processing patterns. What is workload in cloud computing?

Cloud 130

Cloud Virtualization Storage Efficiency 130