Scalegrid

JANUARY 12, 2024

What is workload in cloud computing? 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. The environments, which were previously isolated, are now working seamlessly under central control.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

JANUARY 9, 2024

What does strong enterprise cloud security entail, and how can you achieve it? With the prevalence of cyber threats and regulatory pressures, safeguarding your enterprise’s cloud infrastructure is more critical than ever. As more and more enterprises incorporate cloud-based systems, ensuring their security becomes a key concern.

Strategy 130

Strategy Cloud Best Practices Government 130

Scalegrid

JANUARY 8, 2024

Exploring artificial intelligence in cloud computing reveals a game-changing synergy. 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.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

High Scalability

DECEMBER 16, 2022

Explain cloud computing to me at a professional level? Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. Another key benefit of cloud computing is its reliability and availability. Which cloud provider would you recommend?

Cloud 201

Cloud Serverless Internet Internet 201

Dynatrace

JANUARY 11, 2023

In fact, according to a Dynatrace global survey of 1,300 CIOs , 99% of enterprises utilize a multicloud environment and seven cloud monitoring solutions on average. What is cloud monitoring? Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 219

Cloud Monitoring Best Practices Infrastructure 219

Scalegrid

DECEMBER 6, 2023

In the digital age, data management has transformed from locally hosted servers to cloud solutions. The choice of self-managed cloud databases vs DBaaS is a common debate among those who are looking for the best option that will cater to their particular needs. Make sure to read our extensive article on DBaaS Pros and Cons !

Database 130

Database Cloud Hardware Storage 130

Percona

FEBRUARY 10, 2023

In the cloud era, however, developers and operation engineers started fully embracing automation tools making their job significantly easier. Today along with their team, we will see how pvc-autoresizer can automate storage scaling for MongoDB clusters on Kubernetes. In our lab we will use AWS EKS with a standard storage class.

Storage 114

Storage Blockchain AWS Cloud 114

Dynatrace

AUGUST 30, 2023

Cloud-native observability for Google’s fully managed GKE Autopilot clusters demands new methods of gathering metrics, traces, and logs for workloads, pods, and containers to enable better accessibility for operations teams. First, we create a small Kubernetes cluster in the Google Cloud Console.

Google 216

Google Cloud Innovation Infrastructure 216

InfoQ

MAY 15, 2023

A horizontally scalable exabyte-scale blob storage system which operates out of multiple regions, Magic Pocket is used to store all of Dropbox’s data. Adopting SMR technology and erasure codes, the system has extremely high durability guarantees but is cheaper than operating in the cloud. By Facundo Agriel

Storage 108

Storage Systems Scalability Cloud 108

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion. Research indicates that IT pros now feel the squeeze of this data explosion and cloud complexity.

Cloud 173

Cloud Artificial Intelligence Innovation Analytics 173

Percona

MARCH 1, 2023

Public cloud spending is slowing down. This is businesses’ response to tough and uncertain macroeconomic conditions, where organizations scrutinize their public cloud spending to optimize and adjust. year For ten instances, it will be $168,192 per year Default gp2 storage is $0.115 per GB-month, for 200 GB, it is $22.50/month

Cloud 134

Cloud Storage AWS Database 134

Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. What is Google Cloud Functions? Google Cloud Functions is a serverless compute service for creating and launching microservices.

Google 218

Google Cloud Serverless Azure 218

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. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events.

Systems 182

Systems Cloud Analytics DevOps 182

Dynatrace

DECEMBER 8, 2021

As cloud environments become increasingly complex, legacy solutions can’t keep up with modern demands. As a result, companies run into the cloud complexity wall – also known as the cloud observability wall – as they struggle to manage modern applications and gain multicloud observability with outdated tools.

Cloud 223

Cloud Serverless Hardware Operating System 223

Dynatrace

FEBRUARY 2, 2023

As more and more workloads are migrated to the hyperscaler cloud-service providers, the utilization of cloud services is now standard for many organizations. Not to mention, hosting parts of their cloud infrastructure locally isn’t something customers expect from their cloud solution.

Azure 221

Azure Cloud Monitoring Metrics 221

Dynatrace

JUNE 27, 2023

Logs complement metrics and enable automation Cloud practitioners agree that observability, security, and automation go hand in hand. The increasing complexity of cloud service architectures requires a rock-solid understanding of the activity, health status, and security of cloud services.

AWS 194

AWS Cloud Lambda Analytics 194

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion. Research indicates that IT pros now feel the squeeze of this data explosion and cloud complexity.

Cloud 147

Cloud Artificial Intelligence Innovation Analytics 147

DZone

JULY 19, 2023

To address this need, the integration of cloud computing and virtualization has emerged as a groundbreaking solution as these technologies boast scalability and flexibility, entirely transforming the operational landscape. Enel migrated its legacy IT systems to a hybrid cloud model. The IT infrastructure and services will reach $35.98

Virtualization 130

Virtualization Scalability Energy Cloud 130

Percona

FEBRUARY 24, 2023

If you’re using PostgreSQL in the cloud, there’s a good chance you’re spending more than you need in order to get the results you need for your business. Usage reduction: What to look for to reduce PostgreSQL cloud costs The first step in cost reduction is to use what you need and not more. Don’t pay for capacity you don’t use or need.

Cloud 123

Cloud Serverless AWS Storage 123

Dynatrace

NOVEMBER 10, 2020

As a leader in cloud infrastructure and platform services , the Google Cloud Platform is fast becoming an integral part of many enterprises’ cloud strategies. Simplified cloud complexity with fully automated observability of Google Cloud. Dynatrace news.

Google 216

Google Cloud Serverless Innovation 216

Dynatrace

JULY 31, 2020

Cloud-based solutions typically aren’t a viable option or enterprises that have strict security or privacy policies that require their data to be maintained on-premise. To give you a helping hand in such scenarios, we decided to facilitate Managed cluster deployments for major cloud platforms. Dynatrace news. Prerequisites.

Cloud 205

Cloud Availability Azure Google 205

DZone

SEPTEMBER 25, 2023

It is the second of a series of articles that is built on top of that project, representing experiments with various statistical and machine learning models, data pipelines implemented using existing DAG tools, and storage services, both cloud-based and alternative on-premises solutions.

Storage 258

Storage AWS Architecture Cloud 258

Percona

DECEMBER 27, 2023

The evolution of cloud-native technology has been nothing short of revolutionary. As we step into 2024, the cornerstone of cloud-native technology, Kubernetes, will turn ten years old. Keynotes were focused on how Kubernetes and Cloud Native help businesses embrace the new AI era. We expect that number to rise higher in 2024.

Cloud 83

Cloud Open Source Strategy Best Practices 83

Dynatrace

JANUARY 17, 2024

Growing AI adoption brings rising cloud costs There are three key reasons that AI costs can spiral out of control: AI consumes additional resources. Running artificial intelligence models and querying data requires massive amounts of computational resources in the cloud, which results in higher cloud costs. Use containerization.

Strategy 218

Strategy Artificial Intelligence Storage Cloud 218

Scalegrid

JULY 8, 2019

So many default to Amazon RDS, when MySQL performs exceptionally well on Azure Cloud. In this post, we outline the best way to host MySQL on Azure , including managed solutions, instance types, high availability replication, backup, and disk types to use to optimize your cloud database performance. MySQL DBaaS vs. Self-Managed MySQL.

Azure 219

Azure Cloud Virtualization Database 219

The Morning Paper

MARCH 8, 2020

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. This paper describes the design decisions behind the Snowflake cloud-based data warehouse. The caching use case may be the most familiar, but in fact it’s not the primary purpose of the ephemeral storage service.

Storage 112

Storage Engineering Cache Serverless 112

Dynatrace

AUGUST 27, 2020

Cloud deployments have grown rapidly in recent years, and enterprise hybrid and multicloud environments have become the new standard, resulting in new challenges such as: Keeping up with dynamic, autoscaling environments where instances, applications and microservices come and go fast. AWS Storage Gateway. Dynatrace news. AWS OpsWorks.

AWS 267

AWS Cloud IoT Database 267

DZone

MAY 22, 2019

However, Hive cannot access a single table directly using a single query with the data of this Hive table across different mediums of storage and different clusters. In this regard, data will always reside in the under-storage system as the source of truth and can be residing temporarily in the Alluxio file system.

Storage 100

Storage Systems Virtualization Cloud 100

Dynatrace

NOVEMBER 11, 2022

Therefore, they need an environment that offers scalable computing, storage, and networking. Hyperconverged infrastructure (HCI) is an IT architecture that combines servers, storage, and networking functions into a unified, software-centric platform to streamline resource management. Hyperconverged vs. cloud: Consider the differences.

Infrastructure 197

Infrastructure Storage Virtualization Network 197

Dynatrace

MARCH 6, 2024

Kubernetes adds to the complexity of technology stacks Alongside the challenges of managing multicloud environments, IT and security teams struggle to maintain visibility into cloud-native architectures as Kubernetes continues to become the platform of choice for modern applications.

Analytics 187

Analytics Innovation Strategy Storage 187

Dynatrace

NOVEMBER 6, 2023

Cloud-native workloads on edge devices are gaining momentum among organizations as they extend the hybrid cloud closer to the data source and end users at the edge. Successful deployments of cloud-native workloads at the edge help to reduce costs, boost performance, and improve customer experience.

Retail 254

Retail Analytics Storage Cloud 254

Scalegrid

MARCH 28, 2024

can enhance Redis by handling management tasks, backups, and scalability, facilitating global reach and easy cloud integration for global businesses. This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. 3d render.

Cache 130

Cache Storage Scalability Architecture 130

DZone

APRIL 11, 2023

Data processing in the cloud has become increasingly popular due to its scalability, flexibility, and cost-effectiveness. This article will explore how these technologies can be used together to create an optimized data pipeline for data processing in the cloud.

Azure 246

Azure Analytics Storage Cloud 246

DZone

AUGUST 29, 2023

It is the first of a series of articles that will be built on top of that project, representing experiments with various statistical and machine learning models, data pipelines implemented using existing DAG tools, and storage services, both cloud-based and alternative on-premises solutions.

Storage 258

Storage Cloud 258

Dynatrace

OCTOBER 30, 2023

FinOps as an integral building part As organizations move to the cloud and their environments become increasingly complex, cloud cost management becomes essential. One of the keys to managing cloud costs is ensuring that operations are running efficiently. We’re even pushing this forward,” said Reitbauer.

Engineering 242

Engineering DevOps Innovation Storage 242

Percona

FEBRUARY 1, 2023

This post will look at using The Oversized-Attribute Storage Technique (TOAST) to improve performance and scalability. Therefore, TOAST is a storage technique used in PostgreSQL to handle large data objects such as images, videos, and audio files.

Storage 95

Storage Scalability Strategy Performance 95

Scalegrid

FEBRUARY 1, 2024

The biggest drawbacks are that a full backup can be time-consuming, and they require a significant amount of storage space. This backup type can save on storage space and reduce backup time by only capturing the changes made since the last backup. Therefore, it’s not the ideal choice if there are time or storage limitations.

Best Practices 130

Best Practices Storage Strategy Database 130