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 252

AWS Efficiency Azure Cloud 252

Dynatrace

FEBRUARY 1, 2024

For example, an unnoticed database strain could slow down the response time of a web frontend, resulting in poor user experience. This approach provides an immediate understanding of how entities such as hosts, processes, and their associated relationships contribute to the identified issue.

Infrastructure 186

Infrastructure Metrics Network Monitoring 186

The Netflix TechBlog

MARCH 6, 2019

—?Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. Encoding is not a one-time process?—?large We have one file?—?the

Media 214

Media Storage Processing Cache 214

Dynatrace

MAY 3, 2024

Their job is to find out the root cause of any SLO violations, ensure visibility into the application landscape to fix problems efficiently and minimize production costs by reducing errors. Take the example of Amazon Virtual Private Cloud (VPC) flow logs, which provide insights into the IP traffic of your network interfaces.

Cloud 257

Cloud Lambda AWS Analytics 257

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. In the realm of cloud-based business operations, there is an increasing dependence on complex information processing patterns.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

FEBRUARY 8, 2024

This process effectively duplicates essential parts of information to safeguard against potential loss. By breaking up large datasets into more manageable pieces, each segment can be assigned to various network nodes for storage and management purposes.

Storage 130

Storage Systems Big Data Azure 130

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 203

Innovation DevOps Cloud Efficiency 203

Dynatrace

MARCH 14, 2024

For example, an employee might not have the tools to efficiently retrieve data about a customer as they work to solve an issue. With a platform that also harnesses AI and automation, organizations can even identify and auto-remediate incidents before they occur, helping save time and increase efficiency.

Government 196

Government Strategy Best Practices Website 196

Dynatrace

MAY 1, 2023

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. ITOA automates repetitive cloud operations tasks and streamlines the flow of analytics into decision-making processes.

Analytics 193

Analytics Artificial Intelligence Big Data Open Source 193

Dynatrace

JANUARY 18, 2024

Automation and analysis features, in particular, have boosted operational efficiency and performance by tracking and responding to complex or information-dense situations. In a perfect world, a robust AI model can perform complex tasks while users observe the decision process and audit any errors or concerns. Communication methods.

Artificial Intelligence 217

Artificial Intelligence Healthcare Government Technology 217

The Morning Paper

NOVEMBER 10, 2019

Snap: a microkernel approach to host networking Marty et al., This paper describes the networking stack, Snap , that has been running in production at Google for the last three years+. The desire for CPU efficiency and lower latencies is easy to understand. SOSP’19. Emphasis mine). It reminds me of ZeroMQ.

Network 92

Network Transportation Latency Entertainment 92

Dynatrace

OCTOBER 4, 2023

Business resilience is when organizations have systems and processes in place to protect against unforeseen shocks and build organizational agility. Companies that exploit these technologies can discover risks early, remediate problems, and to innovate and operate more efficiently are likely to achieve competitive advantage.

Artificial Intelligence 173

Artificial Intelligence Innovation Strategy Efficiency 173

Dynatrace

SEPTEMBER 21, 2023

As global warming advances, growing IT carbon footprints are pushing energy-efficient computing to the top of many organizations’ priority lists. Energy efficiency is a key reason why organizations are migrating workloads from energy-intensive on-premises environments to more efficient cloud platforms.

Energy 239

Energy Cloud Airlines Strategy 239

Scalegrid

DECEMBER 14, 2023

MongoDB drivers provide several options for Mongo clients to handle different network timeout errors that may occur during usage. For example, your payment history might be on one database cluster and your analytics records on another cluster. Knowing about these types of timeouts is essential for mastering MongoDB usage.

Java 130

Java Network Servers Database 130

DZone

MARCH 7, 2023

Apache Spark is a powerful open-source distributed computing framework that provides a variety of APIs to support big data processing. Broadcast variables can be used to efficiently distribute large read-only data structures, such as lookup tables, to worker nodes. This can significantly reduce network overhead and improve performance.

Big Data 161

Big Data Code Tuning Open Source 161

The Netflix TechBlog

NOVEMBER 14, 2023

In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! We’ll discuss batch data processing, the limitations we faced, and how Psyberg emerged as a solution. Let’s dive in! What is late-arriving data? How does late-arriving data impact us?

Data Engineering 264

Data Engineering Engineering Processing Games 264

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 231

Monitoring Artificial Intelligence Performance Analytics 231

Dynatrace

MARCH 18, 2024

For example, Amazon Web Services (AWS) charges for data transfer between Amazon EC2 instances within the same region. For example, poorly written code can consume a lot of resources, or an application can make unnecessary calls to cloud services. Unnecessary data transfer. On-demand payment agreement. Suboptimal architecture design.

Best Practices 238

Best Practices Strategy Cloud AWS 238

Scalegrid

JANUARY 11, 2024

Key Takeaways Cloud security monitoring is a comprehensive approach involving both manual and automated processes to oversee servers, applications, platforms, and websites, using tools that are customized to fit unique cloud architectures. Get ready for actionable insights that balance technical depth with practical advice.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

OCTOBER 17, 2023

As they try to become more efficient, organizations are turning to technologies such as AIOps and IT automation. AIOps —or the automation of IT operations—and other forms of IT automation have received increasing focus because these technology approaches are critical to improving organizational efficiency.

Innovation 186

Innovation Monitoring Network Strategy 186

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Greenplum Advantages.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

NOVEMBER 15, 2021

A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. 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 214

Analytics Monitoring Artificial Intelligence DevOps 214

Dynatrace

JUNE 5, 2023

The F5 BIG-IP Local Traffic Manager (LTM) is an application delivery controller (ADC) that ensures the availability, security, and optimal performance of network traffic flows. By analyzing metric anomalies between hosts and load balancers, Davis AI can quickly resolve problems, thus expediting the process.

Traffic 200

Traffic Virtualization Metrics Monitoring 200

Dynatrace

APRIL 13, 2023

Log auditing is a cybersecurity practice that involves examining logs generated by various applications, computer systems, and network devices to identify and analyze security-related events. It requires an understanding of cloud architecture and distributed systems, with the goal of automating processes. Skills and expertise.

Analytics 190

Analytics Java Infrastructure Cloud 190

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. For example, uptime detection can identify database instability and help to improve mean time to restoration. So, how does cloud monitoring work?

Cloud 227

Cloud Monitoring Best Practices Infrastructure 227

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.

Big Data 154

Big Data Processing Lambda Database 154

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. AWS Transit Gateway is a service offering from Amazon Web Services that connects network resources via a centralized hub.

AWS 223

AWS Transportation Network Traffic 223

Dynatrace

SEPTEMBER 8, 2022

Log monitoring is the process of continuously observing log additions and changes, tracking log gathering, and managing the ways in which logs are recorded. Log analytics, on the other hand, is the process of using the gathered logs to extract business or operational insight. These two processes feed into one another.

Systems 189

Systems Cloud Analytics DevOps 189

Dynatrace

JUNE 1, 2023

But how do you get started, and what are some service level objective examples? In this post, I’ll lay out five foundational service level objective examples that every DevOps and SRE team should consider. Five example SLOs for faster, more reliable apps 1. Let’s dig into these foundation SLOs.

Latency 182

Latency Website Traffic Virtualization 182

Scalegrid

JANUARY 25, 2024

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. All these contribute significantly towards ensuring smooth functioning.

Metrics 130

Metrics Monitoring Latency Cache 130

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 232

Storage Government Network Infrastructure 232

Brendan Gregg

JANUARY 1, 2019

It can be used for many things: network performance, firewalls, security, tracing, and device drivers. What is an example of eBPF tracing? This eBPF-based tool shows completed TCP sessions, with their process ID (PID) and command name (COMM), sent and received bytes (TX_KB, RX_KB), and duration in milliseconds (MS): # tcplife.

C++ 111

C++ Virtualization Programming Code 111

Testsigma

SEPTEMBER 28, 2021

However, the process of analyzing and selecting the thousands of device, OS, and browser combinations requires time, expertise, and effort too. Examples of Cross-browser UI test cases – The layout of the page is rendered properly across devices. Example – Transparent PNG images are not visible on old IE browsers.

Efficiency 71

Efficiency Testing Testing Tools Website 71

The Netflix TechBlog

SEPTEMBER 24, 2021

By Xiaomei Liu , Rosanna Lee , Cyril Concolato Introduction Behind the scenes of the beloved Netflix streaming service and content, there are many technology innovations in media processing. Packaging has always been an important step in media processing. Uploading and downloading data always come with a penalty, namely latency.

Cloud 237

Cloud Media Storage Cache 237

Dynatrace

OCTOBER 17, 2022

CloudOps includes processes such as incident management and event management. AIOps reduces the time needed to resolve an incident by automating key steps in the incident response process. The four stages of data processing. There are four stages of data processing: Collect raw data. Aggregate it for alerts.

DevOps 202

DevOps Artificial Intelligence Healthcare Innovation 202

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. Thus making it an ideal choice for businesses seeking a successful implementation of their multi-cloud strategy.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

AUGUST 18, 2022

Security vulnerabilities are weaknesses in applications, operating systems, networks, and other IT services and infrastructure that would allow an attacker to compromise a system, steal data, or otherwise disrupt IT operations. For example, an attacker could exploit a misconfigured firewall rule to gain access to servers on your network.

Traffic 168

Traffic Java Network DevOps 168