Dynatrace

APRIL 20, 2023

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 184

Analytics Infrastructure Storage Efficiency 184

Dynatrace

OCTOBER 4, 2022

Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes. Teams have introduced workarounds to reduce storage costs. Stop worrying about log data ingest and storage — start creating value instead. Limited data availability constrains value creation.

Analytics 231

Analytics Artificial Intelligence Storage Serverless 231

Scalegrid

JANUARY 5, 2024

Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity. In a DBMS, data serves as the material which the system stores, structures, and controls.

Efficiency 147

Efficiency Storage Database Scalability 147

VoltDB

JULY 10, 2018

This goal has been attempted to be addressed from the beginning of time: think of Object Oriented Programming, Service Oriented Architecture, Enterprise Service Bus and now Microservices. The post Scalable MicroService Architecture appeared first on VoltDB. Real-World Example Problem.

Architecture 40

Architecture Scalability Ecommerce Latency 40

VoltDB

JULY 10, 2018

This goal has been attempted to be addressed from the beginning of time: think of Object Oriented Programming, Service Oriented Architecture, Enterprise Service Bus and now Microservices. The post Scalable MicroService Architecture appeared first on VoltDB. Real-World Example Problem.

Architecture 40

Architecture Scalability Ecommerce Latency 40

InfoQ

DECEMBER 29, 2023

Zendesk reduced its data storage costs by over 80% by migrating from DynamoDB to a tiered storage solution using MySQL and S3. The company considered different storage technologies and decided to combine the relational database and the object store to strike a balance between querybility and scalability while keeping the costs down.

Storage 135

Storage Scalability Database Technology 135

Dynatrace

MARCH 24, 2023

Problems include provisioning and deployment; load balancing; securing interactions between containers; configuration and allocation of resources such as networking and storage; and deprovisioning containers that are no longer needed. How does container orchestration work?

Infrastructure 182

Infrastructure Open Source Operating System Cloud 182

Dynatrace

JULY 29, 2021

Today’s digital businesses run on heterogeneous and highly dynamic architectures with interconnected applications and microservices deployed via Kubernetes and other cloud-native platforms. Common questions include: Where do bottlenecks occur in our architecture? How can we optimize for performance and scalability?

Analytics 246

Analytics Open Source Serverless Architecture 246

Uber Engineering

NOVEMBER 1, 2016

Uber Engineering’s Schemaless storage system powers some of the biggest services at Uber, such as Mezzanine. Schemaless is a scalable and highly available datastore on top of MySQL ¹ clusters.

Engineering 111

Engineering Storage Scalability Availability 111

Percona

AUGUST 9, 2023

MySQL 8 brought a significant architectural transformation by replacing the traditional MyISAM-based system tables with the Transaction Data Dictionary (TDD), a more efficient and reliable approach. The primary goal of the Transaction Data Dictionary (TDD) is to enhance the overall performance, stability, and scalability of MySQL databases.

Database 81

Database Storage Scalability Games 81

Dynatrace

JANUARY 23, 2024

Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. To learn more about platform engineering, explore the following resources.

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

Percona

MARCH 30, 2023

This comprehensive overview examines open source database architecture, types, pros and cons, uses by industry, and how open source databases compare with proprietary databases. 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 79

Open Source Database Storage Scalability 79

Dynatrace

FEBRUARY 10, 2023

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. IT pros need a data and analytics platform that doesn’t require sacrifices among speed, scale, and cost. What is a data lakehouse?

Efficiency 272

Efficiency Performance Analytics DevOps 272

Dynatrace

DECEMBER 16, 2022

Engineering teams often gravitate toward a 100% do-it-yourself approach, which is OK for experimentation and testing. Engineering teams often gravitate toward a 100% do-it-yourself approach, which is OK for experimentation and testing. But DIY is neither sufficient nor scalable to meet enterprise needs in the long run.

Innovation 193

Innovation Software Software Cloud 193

Percona

JULY 1, 2023

These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS. Considering a Fully Managed DBaaS Offering For Your Business?

AWS 52

AWS Database Serverless Storage 52

Dynatrace

DECEMBER 15, 2022

While engaging the automatic instrumentation of the Dynatrace OneAgent makes log ingestion automatic and scalable , our customers have set up multiple other log ingestion methods. But there are cases where you might be limited in setting up a dedicated syslog server with OneAgent because of environment architecture or resources.

Strategy 177

Strategy AWS Open Source Transportation 177

Scalegrid

DECEMBER 21, 2023

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. Or even having limitations when trying vertical/horizontal scalability while ensuring availability at all times. Redis®, a powerful in-memory data store, is no exception.

Strategy 130

Strategy Monitoring Latency DevOps 130

Percona

JUNE 22, 2023

It also supports the flexibility and scalability of the database infrastructure. When planning your database HA architecture, the size of your company is a great place to start to assess your needs. This architecture spans data centers to add more layers of availability to the database cluster.

Availability 112

Availability Database Open Source Hardware 112

Dynatrace

JANUARY 16, 2023

Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). Through effortless provisioning, a larger number of small hosts provide a cost-effective and scalable platform.

Open Source 340

Open Source Java Operating System Programming 340

Dynatrace

MAY 8, 2023

This profusion of tools at different stages means teams across the organization—such as developers, site reliability engineers, and security professionals—can have difficulty sharing data and insights. The more tools and platforms teams use, the greater the likelihood of developing data silos. Missed insights. Lost efficiency.

DevOps 216

DevOps Efficiency Monitoring Infrastructure 216

Dynatrace

JANUARY 12, 2022

Messaging systems can significantly improve the reliability, performance, and scalability of the communication processes between applications and services. In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. This is great!

Analytics 183

Analytics Systems DevOps Healthcare 183

Percona

JULY 17, 2023

1 among non-relational/document-based systems ( DB-Engines, July 2023 ). DBAs and developers appreciate its combination of flexibility, scalability, and performance. Storing large datasets can be a challenge, as Redis’ storage capacity is limited by available RAM. It ranks No. Couchbase — No. Couchbase — No.

Open Source 79

Open Source Database Scalability Software 79

Percona

DECEMBER 27, 2023

The field of Platform Engineering has witnessed significant advancements, as evidenced by the publication of the CNCF platform whitepaper and the introduction of a dedicated Platform Engineering day at the upcoming KubeCon event. They also remove toil and allow engineers to focus on application development vs platform engineering work.

Cloud 83

Cloud Open Source Strategy Best Practices 83

Percona

JULY 7, 2023

Unfortunately, using certain open source database software as part of an HA architecture can present significant challenges. Downtime due to SPOFs can also be attributed to bottlenecks from architectures designed for applications instead of databases. Despite all its upside, PostgreSQL software presents such challenges.

Availability 87

Availability Open Source Architecture Database 87

Dynatrace

NOVEMBER 29, 2021

Self-hosted Kubernetes installations or services — such as Amazon EKS, Azure Kubernetes Service, or the Google Kubernetes Engine — make it possible for enterprises to select and implement best-fit functions. Microservices architecture combines loosely-coupled functions to create high-performing applications. The result?

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

ScaleOut Software

JULY 19, 2021

Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. 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.

IoT 78

IoT Analytics Big Data Architecture 78

Uber Engineering

FEBRUARY 22, 2018

In 2014, Uber Engineering built Schemaless , our fault-tolerant and scalable datastore, to facilitate the rapid growth of our company. For context, we deployed more than 40 Schemaless instances and many thousands of storage nodes in 2016 alone.

Code 94

Code Storage Scalability Engineering 94

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. InnoDB is the storage engine that will deliver the best OLTP throughput and should be chosen for this test. . HammerDB difference from Sysbench. Otherwise find the file ut0ut.cc

Best Practices 40

Best Practices Scalability Performance C++ 40

Smashing Magazine

SEPTEMBER 28, 2022

An SSR application will generally have templating engines that inject the variables into an HTML when given to the client. Caching partially stores your data and is not used as permanent storage. Using the cache as permanent storage is an anti-pattern. Common Websocket Architecture. Event Sourcing Architecture.

Performance 125

Performance Cache Servers Social Media 125

Percona

SEPTEMBER 1, 2023

Scalability is a significant concern, as databases must handle growing data volumes and user demands while maintaining peak performance. The sharding architecture consists of several components: Shard Servers : Shard servers are individual nodes within the sharded cluster.

Best Practices 75

Best Practices Traffic Database Servers 75

ScaleOut Software

JULY 14, 2021

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. It provides support for a range of message protocols, buffering, and scalable message distribution to downstream services.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

SEPTEMBER 17, 2019

PostgreSQL & Elastic for data storage. MaaSS for Cloud Architects: Deployment and Architecture Validations. Validate correct architecture, configuration and deployment by looking at Service Flow! Their technology stack looks like this: Spring Boot-based Microservices. NGINX as an API Gateway. REDIS for caching.

AWS 127

AWS Monitoring Ecommerce Lambda 127

Percona

AUGUST 17, 2023

In another survey, using multiple metrics for overall popularity, PostgreSQL ranks as the fourth most popular database management system ( DB-Engines, March 2023 ). The widespread use and popularity have come on like gangbusters in recent years, but PostgreSQL wasn’t always the cool kid.

Open Source 82

Open Source Healthcare Social Media Database 82

The Netflix TechBlog

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 203

Storage Latency Efficiency Data Engineering 203

All Things Distributed

SEPTEMBER 25, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Amazon RDS Provisioned IOPS is ideal for mission-critical online transaction processing (OLTP) workloads that require a high performance storage option with consistent IOPS, within a narrow band of tolerance. s architecture. All Things Distributed.

Cloud 117

Cloud AWS Storage Database 117

The Morning Paper

FEBRUARY 6, 2020

The key ingredients of Cloudburst are a highly-scalable key-value store for persistent state ( Anna ), local caches co-located with function execution environments, and cache-consistency protocols to preserve developer sanity while data is moved in and out of those caches. High level architecture.

Lambda 98

Lambda Serverless Cache Latency 98

The Netflix TechBlog

MAY 21, 2019

Netflix engineers run a series of tests and benchmarks to validate the device across multiple dimensions including compatibility of the device with the Netflix SDK, device performance, audio-video playback quality, license handling, encryption and security. which allows fast deployment times and rapid scalability.

Testing 163

Testing AWS Lambda Network 163