DZone

SEPTEMBER 14, 2023

In today's data-driven world, efficient data processing plays a pivotal role in the success of any project. In this article, we will delve into strategies to ensure that your data pipeline is resource-efficient, cost-effective, and time-efficient.

Big Data 269

Big Data Processing Games Open Source 269

The Morning Paper

MARCH 8, 2020

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. Snowflake is a data warehouse designed to overcome these limitations, and the fundamental mechanism by which it achieves this is the decoupling (disaggregation) of compute and storage. joins) during query processing. Disaggregation (or not).

Storage 112

Storage Engineering Cache Serverless 112

Uber Engineering

AUGUST 14, 2019

Maintaining Uber’s large-scale data warehouse comes with an operational cost in terms of ETL functions and storage. In our experience, optimizing for operational efficiency requires answering one key question: for which tables does the maintenance cost supersede utility?

Efficiency 110

Efficiency Engineering Design Storage 110

Dynatrace

MARCH 6, 2024

Kubernetes architectures make it easier to quickly scale services to new users and drive efficiency gains through dynamic resource provisioning. The report shows that log analytics are a particular challenge, as the long-term storage cost of all this data has begun to overshadow the value organizations can unlock from querying it.

Analytics 191

Analytics Innovation Strategy Storage 191

Dynatrace

NOVEMBER 9, 2023

Dynatrace, in tandem with the Nutanix extension, simplifies performance monitoring and makes issue identification and resolution more efficient. Storage container metrics Track the usage and performance of storage containers to optimize resource allocation.

Virtualization 193

Virtualization Storage Metrics Monitoring 193

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. They can accomplish this all while delivering transformation efficiency and economies of scale for IT functions that maintain risk management infrastructure.

Analytics 201

Analytics Infrastructure Efficiency Technology 201

Dynatrace

AUGUST 8, 2019

Smaller network and Dynatrace cluster storage footprint. The post Rebuilt OneAgent installer for Windows provides more efficient installation appeared first on Dynatrace blog. It now provides reliability and ease of deployment even in tricky situations like hardened Windows OS settings or in the presence of strict antivirus rules.

Efficiency 117

Efficiency Network Storage Architecture 117

DZone

NOVEMBER 27, 2023

An open-source distributed SQL query engine, Trino is widely used for data analytics on distributed data storage. Optimizing Trino to make it faster can help organizations achieve quicker insights and better user experiences, as well as cut costs and improve infrastructure efficiency and scalability. But how do we do that?

Tuning 152

Tuning Speed Performance Open Source 152

DZone

APRIL 11, 2023

Modern tech stacks such as Apache Spark, Azure Data Factory, Azure Databricks, and Azure Synapse Analytics offer powerful tools for building optimized data pipelines that can efficiently ingest and process data on the cloud. It provides built-in connectors for various data sources such as databases, file systems, cloud storage, and more.

Azure 246

Azure Analytics Storage Cloud 246

DZone

AUGUST 16, 2023

Caching is the process of storing frequently accessed data or resources in a temporary storage location, such as memory or disk, to improve retrieval speed and reduce the need for repetitive processing. Bandwidth optimization: Caching reduces the amount of data transferred over the network, minimizing bandwidth usage and improving efficiency.

Cache 246

Cache Scalability Performance Latency 246

DZone

JUNE 15, 2023

Moreover, the process of collecting these profiles introduces overhead during application runtime and necessitates the storage and visualization of significantly large datasets. However, it does not provide visibility into the operations taking place at the code level, such as method, socket, and thread states.

Latency 246

Latency Storage Strategy Metrics 246

Dynatrace

OCTOBER 17, 2023

Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs). No storage tiers, no archiving or retrieval from archives, and no indexing or reindexing.

Retail 237

Retail Storage Best Practices Architecture 237

Dynatrace

JULY 29, 2022

With the right log management and observability platform, IT teams can efficiently identify the root cause of problems during these peak times and maintain three-nines of availability — or 99.98%. Cold storage and rehydration. Cold storage and rehydration. Inadequate context.

Analytics 215

Analytics Storage Retail DevOps 215

DZone

OCTOBER 6, 2021

But along with advantages and uses, computer vision has its challenges in the department of modern applications, which deep neural networks can address quickly and efficiently. With the soaring demand for computing power and storage, it is challenging to deploy deep neural network applications. Network Compression.

Network 258

Network Storage Efficiency 258

Dynatrace

OCTOBER 17, 2023

AI can help automate tasks, improve efficiency, and identify potential problems before they occur. Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. IT automation also helps improve operational efficiency by automating repetitive tasks.

Monitoring 226

Monitoring Artificial Intelligence Performance Analytics 226

Percona

MAY 1, 2023

PostgreSQL performance optimization aims to improve the efficiency of a PostgreSQL database system by adjusting configurations and implementing best practices to identify and resolve bottlenecks, improve query speed, and maximize database throughput and responsiveness. What is PostgreSQL performance tuning?

Tuning 52

Tuning Efficiency Database Performance 52

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. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

The Morning Paper

NOVEMBER 5, 2019

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. What is a distributed storage backend? SOSP’19. This is not surprising in hindsight.

Storage 64

Storage Systems Hardware Efficiency 64

Dynatrace

OCTOBER 30, 2023

One of the keys to managing cloud costs is ensuring that operations are running efficiently. But it is not only the number of clusters that matters, but also the storage underneath. As of today, the platform runs roughly 17,000 Kubernetes pods that need storage underneath.

Engineering 246

Engineering DevOps Innovation Storage 246

Dynatrace

JULY 29, 2022

With the right log management and observability platform, IT teams can efficiently identify the root cause of problems during these peak times and maintain three-nines of availability — or 99.98%. Cold storage and rehydration. Cold storage and rehydration. Inadequate context.

Analytics 182

Analytics Storage Retail DevOps 182

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. It involves both the collection and storage of logs, as well as aggregation, analysis, and even the long-term storage and destruction of log data.

Systems 186

Systems Cloud Analytics DevOps 186

Scalegrid

NOVEMBER 29, 2023

As CTOs, database developers & experts, and DBAs seek more efficient, secure, and scalable cloud services solutions, DBaaS emerges as a compelling choice. A DBaaS automates several processes, such as using, erasing, and spinning up storage without interventions from IT staff. Your data will always be intact.

Healthcare 130

Healthcare Hardware Database Scalability 130

DZone

AUGUST 18, 2023

You may also know that this has led to an increase in the demand for efficient and secure data storage solutions that won’t break the bank. We all know that data is being generated at an unprecedented rate.

IoT 130

IoT Media Latency Storage 130

DZone

JANUARY 23, 2022

Hardware - servers/storage hardware/software faults such as disk failure, disk full, other hardware failures, servers running out of allocated resources, server software behaving abnormally, intra DC network connectivity issues, etc. . – this is addressed through monitoring and redundancy. Redundancy by building additional data centers.

Hardware 243

Hardware DevOps Network Storage 243

DZone

JULY 20, 2021

Taking a proactive and efficient approach to Kubernetes cluster monitoring can help engineering teams identify and predict many critical problems like CPU outage, memory outage, storage issues well in advance of these issues taking a toll on a business. Introduction.

Monitoring 246

Monitoring Storage Efficiency Engineering 246

Dynatrace

JANUARY 4, 2024

It starts with implementing data governance practices, which set standards and policies for data use and management in areas such as quality, security, compliance, storage, stewardship, and integration. Fragmented and siloed data storage can create inconsistencies and redundancies.

Government 200

Government Analytics Benchmarking Storage 200

Dynatrace

SEPTEMBER 5, 2023

This enables efficient resource allocation, avoiding unnecessary expenses and ensuring optimal performance. Operators need to closely observe business-critical resource capacities such as storage, CPU, and memory to avoid outages that are driven by resource shortages. Proactive resource allocation. Capacity planning.

Artificial Intelligence 263

Artificial Intelligence DevOps Analytics Engineering 263

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 247

AWS Efficiency Azure Latency 247

Scalegrid

JANUARY 9, 2024

Defining Enterprise Cloud Security In today’s business landscape, the reliance on cloud services for data storage and processing has made enterprise cloud security a crucial factor. Data encryption should be applied along with robust access controls and efficient encryption key management procedures.

Strategy 130

Strategy Cloud Best Practices Government 130

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. First, if organizations want to drive greater innovation and efficiency, they need to shift. Organizations continue to turn to multicloud architecture to deliver better, more secure software faster.

Cloud 177

Cloud Artificial Intelligence Innovation Analytics 177

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

SEPTEMBER 26, 2022

Progressive rollouts, rollbacks, storage orchestration, bin packing, self-healing, cost efficiency, and access to the Cloud Native Computing Foundation (CNCF) ecosystem carry heavy observability challenges. Unlike evictions from resource exhaustion on a node, this event resulted from ephemeral storage limits exceeded on the pod.

Storage 300

Storage Engineering Traffic Infrastructure 300

Dynatrace

NOVEMBER 2, 2020

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. If you don’t have insight into the software and services that operate your business, you can’t efficiently run your business. Minimizes downtime and increases efficiency.

Infrastructure 201

Infrastructure Monitoring Virtualization Serverless 201

Dynatrace

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. What is explainable AI?

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

Percona

MARCH 7, 2023

One approach is to separate compute and storage to allow for independent scaling. By separating storage and compute, Neon replaces the PostgreSQL storage layer with data nodes, and compute nodes are distributed across a cluster of nodes. Architecture A Neon installation consists of compute nodes and the Neon storage engine.

Serverless 111

Serverless Storage Open Source Architecture 111

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. First, if organizations want to drive greater innovation and efficiency, they need to shift. Organizations continue to turn to multicloud architecture to deliver better, more secure software faster.

Cloud 147

Cloud Artificial Intelligence Innovation Analytics 147

DZone

MAY 8, 2019

When managing cloud-native applications, it's essential to have end-to-end visibility into what's happening at any given time. This is especially true because of the distributed and dynamic nature of cloud-native apps, which are often deployed using ephemeral technologies like containers and serverless functions.

Best Practices 100

Best Practices Efficiency Monitoring Serverless 100