Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

SQL Performance

DECEMBER 17, 2019

One initial, easy step to moving your SQL Server on-premises workloads to the cloud is using Azure VMs to run your SQL Server workloads in an infrastructure as a service (IaaS) scenario. One important choice you will still have to make is what type and size of Azure virtual machine you want to use for your existing SQL Server workload.

Azure 72

Azure Virtualization Servers Storage 72

Particular Software

DECEMBER 7, 2020

For data storage alone, Azure offers: Table Storage, CosmosDB, SQL Server, Blob Storage, and more. With the latest release of Azure Table Persistence for NServiceBus, we offer full transactionality across Outbox, Synchronized Storage Session as well as Sagas. Let’s consider an example.

Azure 52

Azure Storage Speed Cloud 52

Dynatrace

SEPTEMBER 13, 2023

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services.

AWS 243

AWS Efficiency Azure Cloud 243

SQL Performance

APRIL 15, 2020

SQL Server has always provided the ability to capture actual queries in an easily-consumable rowset format – first with legacy SQL Server Profiler, later via Extended Events, and now with a combination of those two concepts in Azure SQL Database. Although this can be somewhat helpful, it is not the same.

Azure 96

Azure Database Tuning Network 96

Dynatrace

NOVEMBER 3, 2022

With the significant growth of container management software and services, enterprises need to find ways to simplify the process. CaaS automates the processes of hosting, deploying, and managing container technologies. Process portability. IaaS provides direct access to compute resources such as servers, storage, and networks.

Serverless 216

Serverless Azure Hardware Transportation 216

Scalegrid

JANUARY 12, 2024

Various forms can take shape when discussing workloads within the realm of cloud computing environments – examples include order management databases, collaboration tools, videoconferencing systems, virtual desktops, and disaster recovery mechanisms. Storage is a critical aspect to consider when working with cloud workloads.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

APRIL 19, 2023

For example, some security incidents have had a widespread, costly impact. Owning data and creating data privacy by design Ferguson and Plank focused on two key messages as they discussed data security: Organizations always choose and control the data they process with Dynatrace. Dynatrace protects data above industry standards.

Design 188

Design Storage Programming Analytics 188

Dynatrace

APRIL 21, 2022

If you still use the legacy version of Log Monitoring ( Log Monitoring v1 ), the Log Monitoring v1 documentation is still available, but we strongly encourage you to switch to the latest Dynatrace Log Monitoring version and gain direct access to the log content of all your mission-critical processes. Kubernetes/OpenShift workload/pod details.

Azure 212

Azure Metrics AWS Monitoring 212

Dynatrace

JUNE 26, 2020

Here is the first batch of 15 public locations for HTTP monitoring: Chicago (Azure) ?, Virginia (Azure), N. California (AWS), San Jose (Azure), Texas (Azure), Ohio (AWS), Toronto (Azure) ?, London (AWS), London (Azure), Frankfurt (AWS) ?, Hong Kong (Azure), Tokyo (Azure), Sao Paulo (AWS).

Monitoring 254

Monitoring Azure AWS Traffic 254

Particular Software

JULY 12, 2021

For example, if your order entry front end can benefit from rapid prototyping, you should be able to use Ruby on Rails and Active Record. In your back-end system, you might benefit from event-driven architecture, automatic message retries, and orchestration of long-running business processes. We can solve that problem in many ways.

Processing 52

Processing Transportation Azure C++ 52

Dynatrace

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. Logs can include data about user inputs, system processes, and hardware states. However, the process of log analysis can become complicated without the proper tools.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

OCTOBER 11, 2021

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. GCF also has relevance in IoT and file processing tasks. What is Google Cloud Functions?

Google 218

Google Cloud Serverless Azure 218

The Morning Paper

FEBRUARY 20, 2020

Extending relational query processing with ML inference , Karanasos, CIDR’10. … based on interactions with enterprise customers, we expect that storage and inference of ML models will be subject to the same scrutiny and performance requirements of sensitive/mission-critical operational data. An INSERT INTO model.

Processing 72

Processing Hardware Database Azure 72

Scalegrid

JANUARY 8, 2024

Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model. The reason lies in the unique advantages that come from utilizing a hybrid cloud.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

JANUARY 20, 2022

Azure supporting services (Synapse Analytics). WeThe Detected processes page has been clarified. RUM linking timeouts adjusted in transaction storage. (APM-341299). Time aggregation corrected for `GC time` chart on process group instance page. (APM-343594). Masking v1. Masking v2. See Available metrics. APM-341631).

Lambda 177

Lambda AWS Metrics Azure 177

Dynatrace

AUGUST 24, 2020

But there are other related components and processes (for example, cloud provider infrastructure) that can cause problems in applications running on Kubernetes. Similarly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. Dynatrace OneAgent documentation

Analytics 237

Analytics Infrastructure AWS Operating System 237

Percona

FEBRUARY 24, 2023

Usage reduction is a continuous process. For example, an Amazon Elastic Compute Cloud (EC2) instance with Graviton2 processors will be a better choice than non-ARM options, as it’s cheaper, and you will get real and faster cores which means the CPU cores are physical and not with hyper-threading.

Cloud 117

Cloud Serverless AWS Storage 117

Scalegrid

JULY 29, 2019

Host MySQL on AWS , or MySQL on Azure with configurable instance sizes through the top two cloud providers in the world. This is a tedious process that needs to be performed regularly, but with ScaleGrid, you can automate a schedule to backup your systems as frequently as you like, and customize how long you want to keep your backups around.

Database 166

Database Cloud Website Azure 166

Percona

JANUARY 24, 2023

Our Operators provide built-in backup and restore capabilities, but some users are still looking for old-fashioned ways, like storage-level snapshots (i.e., Both your storage and Container Storage Interface (CSI) must support snapshots. For example, for GKE, you must create a VolumeSnapshotClass resource first.

Database 66

Database Storage Open Source AWS 66

Dynatrace

NOVEMBER 23, 2020

While speeding up development processes and reducing complexity does make the lives of Kubernetes operators easier, the inherent abstraction and automation can lead to new types of errors that are difficult to find, troubleshoot, and prevent. Configuring storage in Kubernetes is more complex than using a file system on your host.

Virtualization 159

Virtualization Infrastructure Monitoring Cloud 159

Percona

MARCH 28, 2023

The example below shows that the pgBackRest is archiving the wal files into two different repos. We can track the activities of the asynchronous process in the [stanza]-archive-push-async.log file. One can configure both repositories in different storage. The current WAL archiving status is getting stored in the spool path.

Servers 81

Servers Azure AWS Cloud 81

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. For example, you may get a dashboard view that falls short in dynamic environments. Enhances DevOps productivity.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Dynatrace

AUGUST 24, 2020

But there are other related components and processes ( for example, cloud provider infrastructure ) that can cause problems in applications running on Kubernetes. Similar ly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. .

Analytics 134

Analytics Infrastructure AWS Operating System 134

Particular Software

JUNE 20, 2022

of our CosmosDB persistence package , we’ve made defining the partition key for each message processed by NServiceBus much more straightforward, without needing a custom pipeline behavior. We’ve also added pessimistic concurrency support for more reliable processing of sagas with high contention patterns. In version 1.1

Azure 52

Azure Storage Strategy Tuning 52

Percona

JULY 26, 2023

MongoDB is a non-relational document database that provides support for JSON-like storage. As with any database, developers and DBAs working with MongoDB should look at how to optimize the performance of their database, especially nowadays with cloud services, where each byte processed, transmitted, and stored costs money.

Database 78

Database Servers Storage Strategy 78

Percona

DECEMBER 27, 2022

With transparent data encryption (TDE), the encryption process is transparent to the user, allowing them to access and manipulate the data as usual without worrying about the encryption and decryption process. Disk-level encryption is a security measure that encrypts all data stored on a disk or storage device. Column-Level.

Database 93

Database Storage Servers Strategy 93

Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. The last number I saw was “over 20GW”, and Amazon has much better global PPA coverage, including India and China, than Google Cloud and Microsoft Azure, who have very few PPAs in Asia.

AWS 52

AWS Energy IoT Best Practices 52

Scalegrid

SEPTEMBER 16, 2019

Provides advanced security for your databases by storing passwords in secured storage protected by a master password. One of the special features of Navicat is its collaboration with cloud databases like Amazon Redshift, Amazon RDS, Amazon Aurora, Microsoft Azure, Google Cloud, Tencent Cloud, Alibaba Cloud, and Huawei Cloud.

Open Source 262

Open Source Database Azure Cloud 262

IO River

NOVEMBER 2, 2023

‍Before we dive into what Terraform is, let's begin with a real-world example of how Terraform code looks and works:‍# Challenge requests coming from known Tor exit nodes.‍‍In ‍In the example above, we're using Terraform to set up an access rule on Cloudflare. What is Terraform?‍Before So, What Exactly is Terraform?

Open Source 52

Open Source DevOps AWS Azure 52

Percona

JULY 1, 2023

For those with applications already built on MySQL or PostgreSQL, migrating to Aurora is a straightforward process requiring minimal code changes, as it supports the same protocols, tools, and drivers. Amazon Aurora is a relational, proprietary, closed-source database engine with all that that implies. RDS MySQL is 5.5,

AWS 52

AWS Database Serverless Storage 52

KeyCDN

FEBRUARY 22, 2023

There are several popular cloud-based platforms for web development and deployment, such as AWS , Azure , and Google Cloud Platform. Each of these platforms offers a wide range of services and tools for web application development and deployment, including storage, databases, and serverless computing.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

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

Abhishek Tiwari

JULY 22, 2023

In this article, we will explore into the significance of pre-deployment policy compliance, explore the role of policy as code frameworks, and showcase real-life examples of successful implementations. By integrating policy as code frameworks into CI/CD pipelines, compliance checks are seamlessly integrated into the development process.

AWS 52

AWS Best Practices Infrastructure Traffic 52

ScaleOut Software

JULY 19, 2021

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. The best they can usually do in real-time using general purpose tools is to filter and look for patterns of interest.

IoT 78

IoT Analytics Big Data Architecture 78

IO River

NOVEMBER 2, 2023

Before we dive into what Terraform is, let's begin with a real-world example of how Terraform code looks and works:‍# Challenge requests coming from known Tor exit nodes.‍‍In the example above, we're using Terraform to set up an access rule on Cloudflare. What is Terraform?‍Before crucial aspect of this collaboration is the workflow.

Open Source 40

Open Source DevOps AWS Azure 40