Dynatrace

OCTOBER 23, 2023

Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult. We’ve worked with our partners and customers to internalize the Hyper-V observability practices they have developed over years of experience running Hyper-V.

Efficiency 214

Efficiency Virtualization Hardware Performance 214

Dynatrace

AUGUST 21, 2023

A traditional log management solution uses an often manual and siloed approach, which limits scalability and ultimately hinders organizational innovation. Traditional log management solution challenges Survey data suggests that teams need a modern approach to log management and analytics, which requires a unified log management solution.

Analytics 145

Analytics Innovation Infrastructure Scalability 145

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Comparing log monitoring, log analytics, and log management. It is common to refer to these together as log management and analytics.

Systems 185

Systems Cloud Analytics DevOps 185

Dynatrace

FEBRUARY 15, 2023

Today, IT and development teams have myriad responsibilities in managing and working with cloud environments. Teams can now use an observability platform to unify operations, business, and development data to gain automatic, precise answers about cloud environments and user experience.

Analytics 130

Analytics Storage Cloud Code 130

Dynatrace

OCTOBER 6, 2023

Buckets are similar to folders, a physical storage location. Debug-level logs, which also generate high volumes and have a shorter lifespan or value period than other logs, could similarly benefit from dedicated storage. Suppose a single Grail environment is central storage for pre-production and production systems.

Artificial Intelligence 261

Artificial Intelligence Analytics Metrics Storage 261

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

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

High Scalability

JANUARY 11, 2022

Currently, he is in the Alexa Shopping organization where he is developing machine-learning-based solutions to send personalized reorder hints to customers for improving their experience. After that, the post gets added to the feed of all the followers in the columnar data storage. Problem Statement. Fetching User Feed.

Design 334

Design Media Storage Logistics 334

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Efficiency 276

Efficiency Performance Analytics DevOps 276

Scalegrid

JANUARY 12, 2024

Storage is a critical aspect to consider when working with cloud workloads. High availability storage options within the context of cloud computing involve highly adaptable storage solutions specifically designed for storing vast amounts of data while providing easy access to it. This also aids scalability down the line.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Developing Your Hybrid Cloud Strategy When devising a strategy for a hybrid cloud, numerous critical elements must be considered. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

NOVEMBER 20, 2023

How this data-driven technique gives foresight to IT teams – blog By analyzing patterns and trends, predictive analytics enables teams to take proactive actions to prevent problems or capitalize on opportunities. What is predictive AI? What is AIOps?

AWS 209

AWS Artificial Intelligence Analytics Cloud 209

Scalegrid

DECEMBER 6, 2023

ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. DBaaS provides streamlined management with maintenance-free operations & enhanced security. You are both captain and crew. These advantages come at an expense.

Database 130

Database Cloud Hardware Storage 130

Scalegrid

DECEMBER 21, 2023

Such as: RedisInsight – Offers an easy way for users to oversee their Redis® information with visual cues; Prometheus – Providing long-term metrics storage solutions when tracking performance trends involving your instances; Grafana – Its user-friendly interface allows advanced capabilities in observing each instance.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

JANUARY 22, 2024

Software development. Software developers can use causal analysis to identify the root causes of bugs or application performance issues and to predict potential system failures or performance degradations. Data lakehouses combine a data lake’s flexible storage with a data warehouse’s fast performance.

Artificial Intelligence 207

Artificial Intelligence Healthcare Retail Government 207

Dynatrace

OCTOBER 17, 2023

Moreover, the system lacks flexibility, imposing strict schemas that administrators and developers must adhere to avoid additional costs. Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. The majority of costs are associated with data querying.

Retail 237

Retail Storage Best Practices Architecture 237

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. To simplify development for.NET applications, it uses Microsoft’s language integrated query ( LINQ ) to specify queries.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. To simplify development for.NET applications, it uses Microsoft’s language integrated query ( LINQ ) to specify queries.

Analytics 52

Analytics Airlines Cache Scalability 52

Official Blog - World Web Technology

NOVEMBER 27, 2023

You may have to put off learning web development and design. Most website builders of website development provide templates and functionality. This article will help small business owners pick a website development company for their site. Tips for Choosing the Best Website Builder for Web Development!

Website 59

Website Development Mobile Storage 59

The Netflix TechBlog

OCTOBER 19, 2020

Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage. We earned the trust of our engineers by developing empathy for their operational burden and by focusing on providing efficient tracer library integrations in runtime environments.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

MARCH 24, 2023

By embracing public cloud and hybrid cloud computing environments, IT teams can further accelerate development and automate software deployment and management. Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services.

Infrastructure 186

Infrastructure Open Source Operating System Cloud 186

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., When each of those use cases is powered by a dedicated back-end, investments in better performance, improved scalability and efficiency etc. Procella achieves high scalability and efficiency by segregating storage (in Colossus) from compute (on Borg).

Analytics 75

Analytics Latency Cache Google 75

Dynatrace

DECEMBER 16, 2022

That’s why development, operations, IT, and business teams need a software intelligence platform that eliminates complexity with the power of AI and automation. AI-powered precise answers and timely insights with ad-hoc analytics. But DIY is neither sufficient nor scalable to meet enterprise needs in the long run.

Innovation 196

Innovation Software Software Cloud 196

Dynatrace

NOVEMBER 22, 2021

With dependable, contextual observability data, teams can develop data-driven service-level agreements (SLAs) and service-level objectives (SLOs) to make their AWS infrastructure more reliable and resilient. While this provides greater scalability than on-site instrumentation, it also introduces complexity. Amazon EC2. Amazon EKS.

Best Practices 211

Best Practices AWS Monitoring Serverless 211

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. Platform engineering improves developer productivity by providing self-service capabilities with automated infrastructure operations. AI-enabled chatbots can help service teams triage customer issues more efficiently.

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

Percona

MARCH 30, 2023

In fact, the opposite is true, thanks to an active and vibrant global community of developers who work continuously to improve open source software. Further, open source databases can be modified in infinite ways, enabling institutions to meet their specific needs for data storage, retrieval, and processing.

Open Source 75

Open Source Database Storage Scalability 75

All Things Distributed

AUGUST 18, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud.

Big Data 111

Big Data Analytics AWS Cloud 111

Percona

JULY 17, 2023

Developers and DBAs like MongoDB’s ease-of-use. DBAs and developers appreciate its combination of flexibility, scalability, and performance. DBAs and developers appreciate its combination of flexibility, scalability, and performance. It’s a good setup for real-time analytics and high-speed logging.

Open Source 75

Open Source Database Scalability Software 75

Percona

AUGUST 17, 2023

It’s used for data management (shocker), application development, and data analytics. StackOverflow statistics show that 26% of developers preferred it in 2017, 34% in 2019, and 40% in 2021. Data analytics: With the right extensions and configurations, PostgreSQL can support analytical processing and reporting.

Open Source 78

Open Source Healthcare Social Media Database 78

Percona

JUNE 4, 2023

MariaDB retains compatibility with MySQL, offers support for different programming languages, including Python, PHP, Java, and Perl, and works with all major open source storage engines such as MyRocks, Aria, and InnoDB. In addition, MariaDB provides optimal scalability options, making it ideal for growing workloads.

Open Source 52

Open Source Servers Storage Scalability 52

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. What we need though is data that is automatically connected with context for k8s administrators, architects and developers to better understand what is going in the part of k8s that’s relevant to them and how does it impact those parts that are relevant for their colleagues. Service mash insights.

AWS 127

AWS Monitoring Ecommerce Lambda 127

Dynatrace

NOVEMBER 5, 2019

Digital Experience Monitoring (DEM) – A fully integrated DEM enables monitoring of the end-user experience for your applications while also providing data for business-level analytics. Being able to see the code in action ensures developers can identify any code issues in early phases and innovate faster (fail early, fail often).

Azure 137

Azure Artificial Intelligence Metrics Innovation 137

Testsigma

JULY 3, 2021

The security and data storage infrastructure has to meet certain security compliances and standards; only then, the infrastructure is good to go for testing. For certain situations that don’t require scalability, on-premise testing can be cost-effective. . Scalability comes at a price. Challenges of On-Premise Testing.

Cloud 57

Cloud Testing Storage DevOps 57

All Things Distributed

OCTOBER 17, 2016

Now customers who have been requesting a second US East region have more infrastructure options for running workloads, storing files, running analytics, and managing databases. The Ohio Region launches with three AZs so that customers can create high-availability environments and architect for fault tolerance and scalability.

AWS 127

AWS Cloud Infrastructure Analytics 127

HammerDB

JUNE 27, 2022

Why HammerDB was developed. The TPC designed benchmarks for transaction processing (OLTP) and analytics (OLAP) and anyone can run these benchmarks, have them audited by the TPC and published on the official benchmark rankings. HammerDB development. Usage and industry adoption. Derived Workloads.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

ScaleOut Software

JUNE 22, 2020

In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52