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

DZone

JANUARY 31, 2024

SIEM platforms streamline incident response processes, allowing security teams to respond quickly and effectively to security incidents. Volume spikes in log collection result from sudden increases in data, impacting the data ingestion process, impacting the platform at the storage level, and networking.

Storage 136

Storage Data Engineering Network Infrastructure 136

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. Edge data platforms are software solutions that enable businesses to collect, process, and analyze data at the edge of the network.

IoT 130

IoT Media Latency Storage 130

DZone

JULY 3, 2023

Data engineering projects often require the setup and management of complex infrastructures that support data processing, storage, and analysis. Traditionally, this process involved manual configuration, leading to potential inconsistencies, human errors, and time-consuming deployments.

Data Engineering 141

Data Engineering Infrastructure Engineering Code 141

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

Scalegrid

JANUARY 12, 2024

This is sometimes referred to as using an “over-cloud” model that involves a centrally managed resource pool that spans all parts of a connected global network with internal connections between regional borders, such as two instances in IAD-ORD for NYC-JS webpage DNS routing.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

FEBRUARY 1, 2024

Having MySQL backups for your database can speed up and simplify the recovery process. 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.

Best Practices 130

Best Practices Storage Strategy Database 130

Dynatrace

JANUARY 11, 2023

Continuous cloud monitoring with automation provides clear visibility into the performance and availability of websites, files, applications, servers, and network resources. Website monitoring examines a cloud-hosted website’s processes, traffic, availability, and resource use. Cloud storage monitoring.

Cloud 222

Cloud Monitoring Best Practices Infrastructure 222

Dynatrace

JUNE 6, 2023

Container orchestration platforms automate daily operations for processes such as the re-creation of failed containers and rolling deployments. Networking. Large-scale, multicloud deployments can introduce challenges related to network visibility and interoperability. This helps to avoid downtime for end users.

Open Source 192

Open Source Storage Analytics Innovation 192

The Morning Paper

JANUARY 28, 2020

Narrowing the gap between serverless and its state with storage functions , Zhang et al., Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " In from of them is a networking layer, and the in-memory storage layer holds the actual data.

Serverless 99

Serverless Storage Latency Hardware 99

Scalegrid

MARCH 28, 2024

This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. It uses a hash table to manage these pairs, divided into fixed-size buckets with linked lists for key-value storage.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

APRIL 8, 2024

Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. The IT infrastructure, services, and applications that enable processes for risk management must perform optimally. Automated risk management workflows, processes, and decisions. Automated issue resolution.

Analytics 200

Analytics Infrastructure Efficiency Technology 200

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. Log analytics, on the other hand, is the process of using the gathered logs to extract business or operational insight. Dynatrace news.

Systems 185

Systems Cloud Analytics DevOps 185

Percona

MARCH 29, 2023

Compression in any database is necessary as it has many advantages, like storage reduction, data transmission time, etc. Storage reduction alone results in significant cost savings, and we can save more data in the same space. In this blog, we will discuss both data and network-level compression offered in MongoDB.

Storage 106

Storage Network Open Source Latency 106

Dynatrace

FEBRUARY 2, 2022

Additional benefits of Dynatrace SaaS on Azure include: No infrastructure investment : Dynatrace manages the infrastructure for you, including automatic visibility, problem detection, and smart alerting across virtual networks, virtual infrastructure, and container orchestration.

Azure 320

Azure Availability Hardware Innovation 320

The Netflix TechBlog

OCTOBER 19, 2020

Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices. The process started with manual pull of member account information that was part of the session.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

OCTOBER 14, 2022

Collecting logs that aren’t relevant to their business case creates noise, overloads congested networks, and slows down teams. To control local network data volume and potential congestion, Dynatrace also allows filtering of log data on-source—by specific host, service, or even log content—before data is sent to the cloud. Host group.

Storage 226

Storage Government Network Infrastructure 226

Dynatrace

OCTOBER 4, 2022

The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously. Teams have introduced workarounds to reduce storage costs. Stop worrying about log data ingest and storage — start creating value instead. And this expansion shows no sign of slowing down.

Analytics 234

Analytics Artificial Intelligence Storage Serverless 234

Dynatrace

MAY 8, 2023

But when and how does DevOps monitoring fit into the process? The process involves monitoring various components of the software delivery pipeline, including applications, infrastructure, networks, and databases. In addition, monitoring DevOps processes provide the following benefits: Improve system performance.

DevOps 219

DevOps Efficiency Monitoring Infrastructure 219

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. Types of DBMS DBMS can be classified into hierarchical, network, relational, and object-oriented types.

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

Scalegrid

MARCH 14, 2024

Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution. When delving into the networking aspect of a hybrid cloud deployment, complexities arise due to the requirement of linking or expanding existing on-premises network architectures into the cloud sphere.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

MARCH 24, 2023

But managing the deployment, modification, networking, and scaling of multiple containers can quickly outstrip the capabilities of development and operations teams. Container orchestration is a process that automates the deployment and management of containerized applications and services at scale. What is container orchestration?

Infrastructure 185

Infrastructure Open Source Operating System Cloud 185

Dynatrace

JULY 25, 2022

This new service enhances the user visibility of network details with direct delivery of Flow Logs for Transit Gateway to your desired endpoint via Amazon Simple Storage Service (S3) bucket or Amazon CloudWatch Logs. The newly introduced VPC Flow Logs for Transit Gateway service brings a new network dimension to application monitoring.

AWS 217

AWS Transportation Network Traffic 217

Dynatrace

SEPTEMBER 7, 2022

VPC Flow Logs is an Amazon service that enables IT pros to capture information about the IP traffic that traverses network interfaces in a virtual private cloud, or VPC. By default, each record captures a network internet protocol (IP), a destination, and the source of the traffic flow that occurs within your environment.

Traffic 215

Traffic AWS Network Cloud 215

Dynatrace

SEPTEMBER 23, 2020

Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. Sometimes these locations landed on mount points which, due to capacity, availability, or access constraints, weren’t well suited for large runtime storage. Customizable location of large runtime files.

Storage 147

Storage Latency Operating System Network 147

The Netflix TechBlog

NOVEMBER 29, 2023

In spite of reaching higher qualities than the fixed ladder, the HDR-DO ladder, on average, occupies only 58% of the storage space compared to fixed-bitrate ladder. For a given rate-quality operating point, the DO process helps allocate bits among the various shots while maximizing an overall objective function.

Open Source 252

Open Source Software Engineering Internet Internet 252

High Scalability

DECEMBER 16, 2022

Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. It allows users to access and use shared computing resources, such as servers, storage, and applications, on demand and without the need to manage the underlying infrastructure.

Cloud 201

Cloud Serverless Internet Internet 201

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance. Interoperability with Hadoop.

Big Data 154

Big Data Processing Lambda Database 154

Dynatrace

DECEMBER 16, 2020

Track changes via our change management process. Access to source code repositories is limited on both the network and the user level. Source code management systems are only accessible from within the Dynatrace corporate network. Remote access to the Dynatrace corporate network requires multi-factor authentication (MFA).

Software 233

Software Software Development AWS 233

Dynatrace

NOVEMBER 11, 2020

Easier rollout thanks to log storage best practices. Easier rollout thanks to log storage best practices. As such, it’s quite often a network-shared mount point that multiple hosts use to store third party software and libraries. Advanced customization of OneAgent deployments made easy.

Best Practices 196

Best Practices Storage Java Benchmarking 196

Scalegrid

JANUARY 19, 2024

Key Takeaways Rollbacks in MongoDB are triggered by disruptions in the replication process due to primary node crashes, network partitions, or other failures, which can lead to substantial data loss and inconsistencies. With direct, actionable insights, prepare to navigate the complexities of rollbacks with confidence.

Database 130

Database Network Servers Monitoring 130

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. " Query execution. ."

Processing 72

Processing Hardware Database Azure 72

Dynatrace

AUGUST 27, 2020

The latest batch of services cover databases, networks, machine learning and computing. AWS Storage Gateway. Top use cases include recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security. Achieve full observability of all AWS services. Amazon Managed Apache Cassandra Service (Keyspaces).

AWS 269

AWS Cloud IoT Database 269

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 199

Monitoring Serverless Programming Speed 199

Dynatrace

DECEMBER 18, 2023

This covers the infrastructure, processes, and the application stack, including tracing, profiling, and logs. But often, we use additional services and solutions within our environment for backups, storage, networking, and more. Our goal was to filter for metrics that deliver the data we need while minimizing storage costs.

Metrics 177

Metrics Engineering Energy Tuning 177

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 198

Monitoring Serverless Programming Speed 198