Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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 246

AWS Efficiency Azure Cloud 246

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. It also shows how data observability relates to business outcomes as organizations embrace generative AI.

Cache 204

Cache Azure Infrastructure Monitoring 204

ACM Sigarch

MARCH 18, 2019

Computer systems, from the Internet-of-Things devices to datacenters, are complex and optimizing them can enhance capability and save money. Developing simulators, however, is time-consuming and requires a great deal of infrastructure development regarding a prospective system. Answered in Part 2.). Bottleneck Analysis.

Systems 60

Systems Latency Performance Analytics 60

Dynatrace

SEPTEMBER 18, 2020

Sure, cloud infrastructure requires comprehensive performance visibility, as Dynatrace provides , but the services that leverage cloud infrastructures also require close attention. Well-defined APIs are required for managing such microservices and tracking changes in their performance. High latency or lack of responses.

Infrastructure 191

Infrastructure Latency Metrics Analytics 191

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

High Scalability

JANUARY 11, 2022

from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. System Components. Fetching User Feed.

Design 334

Design Media Storage Logistics 334

Dynatrace

APRIL 25, 2023

Observability is essential to ensure the reliability, security and quality of any software system. It helps developers and operators identify and troubleshoot issues, optimize performance and improve user experience. Higher latency and cold start issues due to the initialization time of the functions.

Serverless 207

Serverless Lambda Azure AWS 207

Scalegrid

DECEMBER 14, 2023

How the MongoDB timeout is set up can significantly affect your application’s performance, no matter if you are an experienced MongoDB user or just starting with NoSQL databases. For example, your payment history might be on one database cluster and your analytics records on another cluster.

Java 130

Java Network Servers Database 130

ACM Sigarch

MARCH 25, 2019

Previously, Part 1 of these two blog posts provided our thesis that analytic models can complement measurement and simulations to give quick insight, show what is not possible, provide a double-check, and suggest future directions. How many buffers are needed to track pending requests as a function of needed bandwidth and expected latency?

Systems 53

Systems Latency Performance C++ 53

Dynatrace

APRIL 26, 2022

Understanding why a user is experiencing transactional or performance issues enables organizations to achieve greater observability that goes beyond metrics, traces and logs. Digital experience monitoring (DEM) allows an organization to optimize customer experiences by taking into account the context surrounding digital experience metrics.

Monitoring 203

Monitoring Social Media IoT Metrics 203

DZone

JULY 6, 2020

TiDB is an open-source, distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. Through a chain reaction of events, the CPU load maxes out, out of memory errors occur, network latency increases, and disk writes and reads slow down.

Open Source 130

Open Source Latency Traffic Analytics 130

Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Our new eBook, “ From Planning to Performance: MongoDB Upgrade Best Practices ,” guides you through the entire process to ensure your database’s long-term success.

Best Practices 88

Best Practices Hardware Tuning Scalability 88

The Netflix TechBlog

OCTOBER 19, 2020

which is difficult when troubleshooting distributed systems. If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

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

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. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

DECEMBER 2, 2021

SLOs, together with service-level indicators (SLIs), deliver the performance promised in service-level agreements (SLAs) and other business level objectives (BLOs) while staying within error budgets. In layman’s terms, SLOs represent the performance or health of a service. But what are SLOs? Watch webinar now! Promote automation.

Metrics 191

Metrics Best Practices DevOps Infrastructure 191

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. This simplifies the installation process and ensures portability across operating systems.

IoT 52

IoT Azure Analytics Healthcare 52

VoltDB

JUNE 9, 2017

Historically, telco analytics have been limited and difficult. Telco networks and the systems that support those networks are some of the most advanced technology solutions in existence. Analytics and insights have always taken a back seat to the first two priorities – accurate data processing and billing.

Analytics 40

Analytics Strategy Network Games 40

VoltDB

JUNE 9, 2017

Historically, telco analytics have been limited and difficult. Telco networks and the systems that support those networks are some of the most advanced technology solutions in existence. Analytics and insights have always taken a back seat to the first two priorities – accurate data processing and billing.

Analytics 40

Analytics Strategy Network Games 40

Dotcom-Montior

OCTOBER 6, 2021

To think about it another way, site reliability engineering is where the traditional IT role, or system administration role, and DevOps meet. In a traditional IT environment, organizations may have had a team of system administrators managing complex systems. Performance. What Does a Site Reliability Engineer Do?

Engineering 67

Engineering DevOps Monitoring Google 67

Dotcom-Montior

DECEMBER 8, 2021

Systems, web applications, servers, devices, etc., are all prone to performance issues and unexpected outages at some point. SREs and DevOps teams can use these incidents to build back better and improve their systems and services. SREs must manage complex distributed systems. It is an unavoidable fact. Change Management.

Social Media 90

Social Media Monitoring Latency DevOps 90

VoltDB

JUNE 29, 2017

This allows publishers to establish a “premium” auction instead of the typical real-time bidding system. Most existing adtech infrastructure simply can not achieve the required latency. VoltDB provides the necessary technology to achieve the latency required by header bidding. Another adtech infrastructure problem is capacity.

Performance 40

Performance Hardware Latency Infrastructure 40

VoltDB

JUNE 29, 2017

This allows publishers to establish a “premium” auction instead of the typical real-time bidding system. Most existing adtech infrastructure simply can not achieve the required latency. VoltDB provides the necessary technology to achieve the latency required by header bidding. Another adtech infrastructure problem is capacity.

Performance 40

Performance Hardware Latency Infrastructure 40

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Key Takeaways Redis® monitoring is essential for safeguarding performance, reliability, and security.

Strategy 130

Strategy Monitoring Latency DevOps 130

Abhishek Tiwari

JULY 12, 2018

It can be used to power new analytics, insight, and product features. It can be used to power new analytics, insight, and product features. In a nutshell, a data pipeline is a distributed system. Pipeline reliability and performance go hand in hand. Building data pipelines can offer strategic advantages to the business.

Latency 63

Latency Analytics Scalability Engineering 63

VoltDB

FEBRUARY 28, 2018

Freedom to transfer assets without reliance on a central system. The massive focus on fraud and security features built into cryptocurrency iterations of blockchain result in performance degradation. To harden the system against advanced cyber attacks, it’s intentionally difficult to write to cryptocurrency blockchains.

Blockchain 45

Blockchain Technology Technology Database 45

VoltDB

FEBRUARY 28, 2018

Freedom to transfer assets without reliance on a central system. The massive focus on fraud and security features built into cryptocurrency iterations of blockchain result in performance degradation. To harden the system against advanced cyber attacks, it’s intentionally difficult to write to cryptocurrency blockchains.

Blockchain 40

Blockchain Technology Technology Database 40

The Morning Paper

SEPTEMBER 8, 2019

I’ve been excited about the potential for approximate query processing in analytic clusters for some time, and this paper describes its use at scale in production. In total, the clusters store a few exabytes of data and are primarily responsible for all of the batch analytics at Microsoft. VLDB’19. Approximate query support.

Big Data 57

Big Data Analytics Latency Azure 57

Smashing Magazine

AUGUST 3, 2021

This premise, known as graceful degradation allows a system to continue working when parts of it are dysfunctional — much like an electric bike becomes a regular bike when its battery dies. A user unable to perform a task because something is broken will naturally face disappointment they could associate with your brand.

Network 145

Network Engineering Availability Monitoring 145

All Things Distributed

DECEMBER 14, 2011

Werner Vogels weblog on building scalable and robust distributed systems. This new Region has been highly requested by companies worldwide, and it provides low-latency access to AWS services for those who target customers in South America. Driving down the cost of Big-Data analytics. All Things Distributed. Comments ().

AWS 114

AWS Latency Storage Big Data 114

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Cluster Computer Instances for Amazon EC2 are a new instance type specifically designed for High Performance Computing applications. Not just for HPC but for mission critical enterprise systems such as OLTP. All Things Distributed. Comments ().

Cloud 118

Cloud AWS Automotive Latency 118

All Things Distributed

DECEMBER 5, 2010

Werner Vogels weblog on building scalable and robust distributed systems. I am very excited that today we have launched Amazon Route 53, a high-performance and highly-available Domain Name System (DNS) service. Naming is one of the fundamental concepts in Distributed Systems. By Werner Vogels on 05 December 2010 02:00 PM.

Cloud 117

Cloud Internet Internet AWS 117

Highly Scalable

AUGUST 20, 2013

In recent years, this idea got a lot of traction and a whole bunch of solutions like Twitter’s Storm, Yahoo’s S4, Cloudera’s Impala, Apache Spark, and Apache Tez appeared and joined the army of Big Data and NoSQL systems. High performance and mobility.

Big Data 154

Big Data Processing Lambda Database 154

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

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 and Memcached both provide high performance with sub-millisecond response times. Choosing between Redis and Memcached hinges on specific application requirements.

Cache 130

Cache Storage Scalability Architecture 130

HammerDB

DECEMBER 5, 2020

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. For TPC-C this meant enough available spindles to reduce I/O latency and for TPC-H enough bandwidth for data throughput.

C++ 40

C++ Benchmarking Virtualization Open Source 40