Scalegrid

JANUARY 5, 2024

Enhanced data security, better data integrity, and efficient access to information. 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.

Efficiency 147

Efficiency Storage Database Scalability 147

The Netflix TechBlog

AUGUST 1, 2022

A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A stream processing) is one of the key factors that enable Netflix to maintain its leading position in the competition of entertaining our users.

Processing 273

Processing Transportation Entertainment Tuning 273

Dynatrace

OCTOBER 23, 2023

This leads to a more efficient and streamlined experience for users. Lastly, monitoring and maintaining system health within a virtual environment, which includes efficient troubleshooting and issue resolution, can pose a significant challenge for IT teams. We’re always looking for feedback and opportunities to improve.

Efficiency 227

Efficiency Virtualization Hardware Performance 227

DZone

JANUARY 9, 2024

In the data-driven landscape of today, automation has become indispensable across industries, not just to maximize efficiency but, more importantly, to ensure quality. As organizations gather and process astronomical volumes of data, manual testing is no longer feasible or reliable.

Data Engineering 140

Data Engineering Efficiency Engineering Testing 140

Dynatrace

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. The Serverless Process.

Serverless 246

Serverless Efficiency Lambda AWS 246

Dynatrace

JANUARY 31, 2024

Organizations choose data-driven approaches to maximize the value of their data, achieve better business outcomes, and realize cost savings by improving their products, services, and processes. Data is then dynamically routed into pipelines for further processing. Such transformations can reduce storage costs by 99%.

Analytics 203

Analytics Processing Transportation Storage 203

Dynatrace

MAY 17, 2022

The application consists of several microservices that are available as pod-backed services. This solution offers both maximum efficiency and adherence for the toughest privacy or compliance demands. Information about each of these topics will be available in upcoming announcements. The following example drives the point home.

Availability 329

Availability Scalability Cloud Metrics 329

Dynatrace

JULY 11, 2023

By leveraging the Dynatrace Operator and Dynatrace capabilities on Red Hat OpenShift on IBM Power, customers can accelerate their modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes.

Architecture 178

Architecture Availability Infrastructure Monitoring 178

Dynatrace

OCTOBER 28, 2024

Dynatrace on Microsoft Azure allows enterprises to streamline deployment, gain critical insights, and automate manual processes. As of October 2024, Dynatrace is available on Microsoft Azure Australia East region, enabling joint customers to maintain a local SaaS presence. The result?

Azure 243

Azure Latency Infrastructure Cloud 243

Percona

NOVEMBER 9, 2023

Kubernetes can be complex, which is why we offer comprehensive training that equips you and your team with the expertise and skills to manage database configurations, implement industry best practices, and carry out efficient backup and recovery procedures. In essence, it establishes permissions within a Kubernetes cluster.

Efficiency 107

Efficiency Cloud Healthcare Open Source 107

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. This guide provides an overview of what high availability means, the components involved, how to measure high availability, and how to achieve it. How does high availability work?

Availability 112

Availability Database Open Source Hardware 112

Dynatrace

OCTOBER 17, 2024

These enhancements are designed to empower IT operations and SRE teams with more comprehensive visibility and increased efficiency at any time. Infrastructure & Operations with additionally selected filters and active selector dropdown, providing available options sourced from the hosts’ resources.

Infrastructure 218

Infrastructure Network DevOps Metrics 218

Dynatrace

NOVEMBER 11, 2024

A good Kubernetes SLO strategy helps teams manage and make containerized workloads more efficient. However, due to the fact that they boil down selected indicators to single values and track error budget levels, they also offer a suitable way to monitor optimization processes while aligning on single values to meet overall goals.

Efficiency 178

Efficiency Best Practices Monitoring Cloud 178

Dynatrace

NOVEMBER 4, 2024

Dynatrace OpenPipeline is a new stream processing technology that ingests and contextualizes data from any source. Business process monitoring and optimization. Most of the use cases in these two broad categories benefit from the flexibility that comes from multiple available sources of business data.

Analytics 157

Analytics Airlines Metrics Monitoring 157

VoltDB

MAY 14, 2024

Balancing Low Latency, High Availability and Cloud Choice Cloud hosting is no longer just an option — it’s now, in many cases, the default choice. Let’s look at the top cloud computing use cases, the use cases for which cloud probably isn’t the best route available, and the use cases where a hybrid approach may be best.

Latency 52

Latency Availability Cloud Hardware 52

Dynatrace

JULY 31, 2020

We’re happy to announce the General Availability of cross-environment dashboarding capabilities (having released this functionality in an Early Adopter release with Dynatrace version 1.172 back in June 2019). This gives you a boost in efficiency when managing multiple environments. Dynatrace news.

Availability 188

Availability Best Practices Monitoring Network 188

The Netflix TechBlog

NOVEMBER 12, 2024

Both categories share common requirements, such as high throughput and high availability. Eventually Consistent Global Counter While some users may accept the limitations of a Best-Effort counter, others opt for precise counts, durability and global availability.

Latency 224

Latency Cache Infrastructure Strategy 224

The Netflix TechBlog

SEPTEMBER 10, 2024

One issue that often complicates this process is the "noisy neighbor" problem. Continuous instrumentation is critical to catching such matters as they emerge, and eBPF, with its hooks into the Linux scheduler with minimal overhead, enabled us to monitor run queue latency efficiently.

Latency 245

Latency Metrics Programming Monitoring 245

Dynatrace

OCTOBER 10, 2023

EdgeConnect facilitates seamless interaction, ensuring data security and operational efficiency. In this hybrid world, IT and business processes often span across a blend of on-premises and SaaS systems, making standardization and automation necessary for efficiency.

Systems 233

Systems Efficiency Internet Internet 233

Dynatrace

SEPTEMBER 5, 2024

These developments open up new use cases, allowing Dynatrace customers to harness even more data for comprehensive AI-driven insights, faster troubleshooting, and improved operational efficiency. Customers have had a positive response to our native syslog implementation, noting its easy setup and efficiency.

Innovation 273

Innovation AWS Analytics Storage 273

Dynatrace

NOVEMBER 18, 2024

Adopting AI to enhance efficiency and boost productivity is critical in a time of exploding data, cloud complexities, and disparate technologies. The Grail™ data lakehouse provides fast, auto-indexed, schema-on-read storage with massively parallel processing (MPP) to deliver immediate, contextualized answers from all data at scale.

Cloud 150

Cloud Azure Artificial Intelligence Innovation 150

Official Blog - World Web Technology

DECEMBER 4, 2023

How does it contribute to the software development process ? This article will explain why most companies and their software developers use SDLC to manage their development process. SDLC is an essential framework for the total software development process as it aids in managing software development projects effectively.

Processing 64

Processing Software Software Development 64

The Netflix TechBlog

SEPTEMBER 18, 2024

Central to this infrastructure is our use of multiple online distributed databases such as Apache Cassandra , a NoSQL database known for its high availability and scalability. This model supports both simple and complex data models, balancing flexibility and efficiency. Cassandra), ensuring fast and efficient access.

Latency 248

Latency Storage Cache Efficiency 248

Dynatrace

FEBRUARY 1, 2024

The adoption process takes time and consideration. The complexity and numerous moving parts of Kubernetes multicloud clusters mean that when monitoring the health of these clusters—which is critical for ensuring reliable and efficient operation of the application—platform engineers often find themselves without an easy and efficient solution.

Engineering 276

Engineering Efficiency Azure Monitoring 276

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.

Cache 246

Cache Scalability Performance Latency 246

Dynatrace

MARCH 20, 2024

Deploying software in Kubernetes is often viewed as a straightforward process—just use kubectl or a GitOps solution like ArgoCD to deploy a YAML file, and you’re all set, right? Infrastructure health The underlying infrastructure’s health directly impacts application availability and performance.

Open Source 280

Open Source Hardware DevOps Infrastructure 280

Dynatrace

SEPTEMBER 27, 2024

As batch jobs run without user interactions, failure or delays in processing them can result in disruptions to critical operations, missed deadlines, and an accumulation of unprocessed tasks, significantly impacting overall system efficiency and business outcomes. Individual batch job status with processing times and status Figure 4.

Monitoring 197

Monitoring Performance IoT Analytics 197

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 260

AWS Efficiency Azure Cloud 260

Scalegrid

JANUARY 8, 2019

In Part I , we introduced a High Availability (HA) framework for MySQL hosting and discussed various components and their functionality. Semisynchronous replication, which is natively available in MySQL, helps the HA framework to ensure data consistency and redundancy for committed transactions. slave_preserve_commit_order = 1.

Availability 113

Availability Tuning Speed Network 113

Dynatrace

MAY 2, 2024

Across the globe, privacy laws grant individuals data subject rights, such as the right to access and delete personal data processed about them. 2] — Nader Henein, VP Analyst, Gartner The Privacy Rights app is designed to streamline this process in Dynatrace.

Tuning 238

Tuning Scalability Efficiency Processing 238

Scalegrid

AUGUST 27, 2024

Learn how RabbitMQ can boost your system’s efficiency and reliability in these practical scenarios. Key features of RabbitMQ, such as message acknowledgments, complex routing, and asynchronous processing, contribute to system reliability and performance. What is a Message Queue?

Ecommerce 130

Ecommerce IoT Games Scalability 130

Edge Perspectives

MARCH 26, 2019

In our Big Shift world, we confront the imperative of institutional innovation – shifting from institutional models built on scalable efficiency to institutional models built on scalable learning. I’ve written and spoken about this a lot over the years and one of the most common pushbacks I get is – “so, are you against efficiency?”

Efficiency 89

Efficiency Scalability Innovation Programming 89

Dynatrace

NOVEMBER 7, 2023

A Kubernetes-centric Internal Development Platform (IDP) enables platform engineering teams to provide self-service capabilities and features to their DevSecOps teams who need resilient, available, and secure infrastructure to build and deploy business-critical customer applications. Automation, automation, automation.

Engineering 286

Engineering DevOps Best Practices Infrastructure 286

Dynatrace

NOVEMBER 9, 2023

However, they can also be used to monitor optimization processes effectively. Efficient coordination among resource usage, requests, and allocation is critical. As every container has defined requests for CPU and memory, these indicators are well-suited for efficiency monitoring.

Efficiency 287

Efficiency Monitoring Best Practices Open Source 287

Dynatrace

OCTOBER 16, 2023

While customers use observability platforms to identify issues in cloud environments, the next chapter of value is removing manual work from processes and building IT automation into their organizations. Organizations need to incorporate IT automation into their processes to take action on the data they gather. Greifeneder noted.

Innovation 211

Innovation DevOps Cloud Efficiency 211

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

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. This process effectively duplicates essential parts of information to safeguard against potential loss.

Storage 130

Storage Systems Big Data Azure 130