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 monitoring enables the collection of log data, and log analysis promotes intelligent, data-driven decision making. Dynatrace news.

Systems 189

Systems Cloud Analytics DevOps 189

Dynatrace

DECEMBER 9, 2020

Therefore, we’re happy to announce support for OpenTracing data that’s emitted by auto- and custom-instrumentation of Java source code with Dynatrace PurePath 4, our distributed tracing and code-level analysis technology. With Dynatrace OneAgent you also benefit from support for traffic routing and traffic control.

Java 239

Java Traffic Strategy Architecture 239

Dynatrace

MAY 19, 2023

Network traffic growth is the main reason for increasing spending, largely because of the adoption of hybrid and multi-cloud architectures. What are the issues with traffic losses and connectivity drops? Without the network, nothing will happen,” Ziemianowicz said. What has been happening on the network when apps experience issues?

Network 221

Network Monitoring Performance Traffic 221

Percona

DECEMBER 11, 2023

A Dedicated Log Volume (DLV) is a specialized storage volume designed to house database transaction logs separately from the volume containing the database tables. DLVs are particularly advantageous for databases with large allocated storage, high I/O per second (IOPS) requirements, or latency-sensitive workloads.

AWS 94

AWS Benchmarking Performance Traffic 94

Scalegrid

JANUARY 5, 2024

The DBMS is key to maintaining these aspects by offering a storage system that allows users to perform operations such as data insertion, deletion, and selection, thereby promoting enhanced data integration across diverse applications and platforms. This ultimately results in improving operations and boosting productivity and efficiency.

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

JANUARY 11, 2023

Cloud monitoring tools unify data from applications and dependent resources across distributed channels to achieve the following: better detect anomalies; perform root-cause analysis; and. Website monitoring examines a cloud-hosted website’s processes, traffic, availability, and resource use. Cloud storage monitoring.

Cloud 227

Cloud Monitoring Best Practices Infrastructure 227

Dynatrace

JULY 21, 2022

When multiplied by the amount of traffic that these offerings attract, it’s nearly impossible for application developers to tie in user experience insights with errors that are discovered in production. This necessitates that millions of microservices and thousands of apps be updated regularly per continuous delivery.

Traffic 212

Traffic DevOps Storage Innovation 212

The Netflix TechBlog

SEPTEMBER 2, 2020

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. With request tracing and additional data from logs, events, metadata, and analysis, Edgar is able to show the flow of a request through our distributed system?

Latency 296

Latency Transportation Engineering Traffic 296

Dynatrace

MAY 14, 2020

Turnkey cluster overload protection with adaptive traffic management and control. The ALR mechanism also ensures maximum stability when the actual load exceeds the capacity of the cluster (though a statistically valid set of requests is still captured for analysis by the Dynatrace Davis AI causation engine ). Your feedback.

Processing 157

Processing Hardware Traffic Storage 157

Dynatrace

JUNE 16, 2020

One key requirement of a microservices architecture is the ability to make information of all kinds available wherever and whenever it’s needed, without putting undue traffic on corporate and public networks. Synchronous storage size. Async storage size. Storage read size rate. Storage read count rate.

Storage 133

Storage Metrics Java Architecture 133

Dynatrace

FEBRUARY 16, 2023

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. For example, these include verifying app deployments, isolating faults coming from a single IP address, identifying root causes of traffic spikes, or investigating malicious user activity.

Analytics 191

Analytics Innovation Metrics Database 191

Scalegrid

JANUARY 12, 2024

Key Takeaways A cloud workload encompasses any application or service running on a cloud infrastructure, facilitating tasks ranging from basic functions to advanced data analysis with the help of resources like databases, collaboration tools, and disaster recovery systems. Additionally.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Percona

JUNE 22, 2023

Number of slow queries recorded Select types, sorts, locks, and total questions against a database Command counters and handlers used by queries give an overall traffic summary Along with this, PMM also comes with Query Analytics giving much detailed information about queries getting executed.

Performance 102

Performance Monitoring Traffic Database 102

Dynatrace

JUNE 25, 2020

Minimized cross-data center network traffic. A similar analysis can be performed on your GRO. Dynatrace Managed Premium High Availability provides cost savings in terms of compute and storage allocations. Reduce cross-region traffic for Log Monitoring and Synthetic Monitoring. Self-contained turnkey solution.

Availability 251

Availability Hardware Latency Traffic 251

Dynatrace

JUNE 8, 2020

Dynatrace Managed operates as a SaaS solution that keeps your data and data analysis on-premise in your own data center, thereby fulfilling the highest privacy and regulatory needs. Metrics are provided for general host info like CPU usage and memory consumption, OneAgent traffic, and network latency.

Software 165

Software Software Programming Metrics 165

Dynatrace

APRIL 26, 2022

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). Endpoint monitoring (EM). Endpoints can be physical (i.e., PC, smartphone, server) or virtual (virtual machines, cloud gateways).

Monitoring 209

Monitoring Social Media IoT Metrics 209

Dynatrace

NOVEMBER 22, 2021

With EC2, Amazon manages the basic compute, storage, networking infrastructure and virtualization layer, and leaves the rest for you to manage: OS, middleware, runtime environment, data, and applications. EC2 is ideally suited for large workloads with constant traffic. AWS Lambda.

Best Practices 217

Best Practices AWS Monitoring Serverless 217

The Netflix TechBlog

NOVEMBER 22, 2019

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Technology advancements in content creation and consumption have also increased its data footprint. Wednesday?—?December

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Technology advancements in content creation and consumption have also increased its data footprint. Wednesday?—?December

AWS 100

AWS Entertainment Open Source Benchmarking 100

Scalegrid

JANUARY 8, 2024

Artificial intelligence can automate tasks ranging from: data analysis resource provisioning system maintenance decision-making natural language processing This not only improves accuracy and reliability but also frees up valuable time for IT teams to focus on strategic tasks, such as resource management on platforms like Google Cloud.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Scalegrid

JANUARY 25, 2024

These can help you ensure your system’s health and quickly perform root cause analysis of any performance-related issue you might be encountering. Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures.

Metrics 130

Metrics Monitoring Latency Cache 130

O'Reilly

SEPTEMBER 19, 2023

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” ” (It will be easier to fit in the overhead storage.)

Hardware 97

Hardware Storage Big Data Blockchain 97

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 following diagram illustrates a typical workflow. Conventional streaming analytics architectures have not kept up with the growing demands of IoT.

IoT 78

IoT Analytics Big Data Architecture 78

Percona

JUNE 22, 2023

Load balancing : Traffic is distributed across multiple servers to prevent any one component from becoming overloaded. Load balancers can detect when a component is not responding and put traffic redirection in motion. Here are the early steps: Perform analysis : A good place to start might be to conduct a Failure Mode Analysis (FMA).

Availability 105

Availability Database Open Source Hardware 105

The Netflix TechBlog

NOVEMBER 2, 2021

A bridge between two worlds To live such a life, we developed several “bridging” workflows, which allow us to route video quality traffic from Reloaded into Cosmos. In other words, how do we manage living a life in both worlds? Meanwhile, Cosmos-only workflows can be integrated with VQS without the need for bridging.

Media 171

Media Innovation Metrics Latency 171

Abhishek Tiwari

JULY 22, 2023

Checkov: Checkov is a static code analysis tool. Sentinel policies are written to enforce rules such as: Requiring encryption for all Amazon S3 buckets and Azure Blob Storage containers. Ensuring that security groups restrict inbound traffic to approved ports.

AWS 52

AWS Best Practices Infrastructure Traffic 52

Adrian Cockcroft

APRIL 5, 2023

This would open up opportunities to leverage existing performance monitoring tools and dashboards, extend optimization tools like autoscalers and schedulers, and to build new kinds of carbon analysis and optimization tools and services. There are also control plane overheads, shared storage volumes and supporting services to instrument.

Energy 52

Energy Metrics Cloud Operating System 52

Dynatrace

SEPTEMBER 17, 2019

PostgreSQL & Elastic for data storage. Thanks to PurePath, architects can validate how transactions flow from service-to-service and how traffic gets routed through service mashes (AWS App Mesh, Istio, Linkerd) or proxies. Dynatrace’s Response Time Hotspot Analysis automates the hotspot detection in highly distributed systems.

AWS 128

AWS Monitoring Ecommerce Lambda 128

SQL Performance

NOVEMBER 18, 2019

IT professionals are familiar with scoping the size of VMs with regards to vCPU, memory, and storage capacity. Compute optimized – High CPU-to-memory ration, medium traffic web servers and application servers. Storage optimized – High disk throughput and IO. Premium storage support. VM Types and Sizes. VM Image Options.

Azure 76

Azure Benchmarking Storage Virtualization 76

Percona

JULY 7, 2023

Backup and continuous archiving: PostgreSQL asynchronous replication relies on the write-ahead log (WAL) stream, and it’s vital to have centralized storage that all nodes can access. PostgreSQL is favored among relational database options for its complex data analysis, data science, graphing, and AI-related capabilities.

Availability 82

Availability Open Source Architecture Database 82

The Morning Paper

OCTOBER 4, 2020

It’s a great analysis that taught me a lot about the realities of 5G, and the challenges ahead if we are to eventually get there. Three different 5G phones are used, including a ZTE Axon10 Pro with powerful communication (SDX 50 5G modem) and compute (Qualcomm Snapdragon TM855) capabilities together with 256GB of storage.

Energy 130

Energy Latency Performance Network 130

All Things Distributed

MARCH 11, 2015

This allows local councils to keep certain streets well lit, to accommodate high foot traffic, bring on lighting during adverse weather, when ambient light dims to a dangerous level, or even turn lighting down, for example in an industrial estate, where there are no people. Video is analyzed to help stores understand traffic patterns.

Analytics 135

Analytics Cloud Healthcare Retail 135

Percona

SEPTEMBER 1, 2023

Inadequate CPU, memory, or storage can lead to bottlenecks and performance degradation, so remedying these issues involves upgrading hardware or optimizing resource utilization through query and server configuration adjustments. Query plan analysis can also provide valuable insights. This does not apply to read (SELECT) traffic.

Tuning 52

Tuning Database Performance Hardware 52

Percona

OCTOBER 18, 2023

Look closely at your current infrastructure (hardware, storage, networks, etc.) This is where you will fine-tune authentication mechanisms, storage paths, security policies, and memory allocation settings to optimize them for your specific use case(s). Should I be bringing in external experts to help out?

Open Source 89

Open Source Database Hardware Strategy 89

All Things Distributed

AUGUST 16, 2012

An apples to apples comparison of the costs associated with running various usage patterns on-premises and with AWS requires more than a simple comparison of hardware expense versus always-on utility pricing for compute and storage. s a summary chart of the TCO analysis. What this chart summarizes is that. t need them.

AWS 118

AWS Hardware Traffic Best Practices 118

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. Analysis of such large data sets often requires powerful distributed data stores like Hadoop and heavy data processing with techniques like MapReduce. Case Study. Case Study.

Analytics 191

Analytics Traffic Big Data Efficiency 191

All Things Distributed

JUNE 21, 2018

This consistent performance is a big part of why the Snapchat Stories feature , which includes Snapchat's largest storage write workload, moved to DynamoDB. Expedia built a real-time data warehouse for the market pricing of lodging and availability data for internal market analysis by using Aurora, Amazon Redshift, and ElastiCache.

Database 167

Database AWS Games Latency 167