Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In late 2021, for example, digital forensics was central to combating the Log4Shell vulnerability. Cold storage and rehydration. Cold storage and rehydration.

Analytics 217

Analytics Storage Retail Monitoring 217

DZone

JANUARY 31, 2024

SIEM platforms streamline incident response processes, allowing security teams to respond quickly and effectively to security incidents. For example, in big organizations, the Linux logs may be around 10 billion, and firewall logs may be around five billion per day.

Storage 136

Storage Data Engineering Network Infrastructure 136

Dynatrace

JANUARY 18, 2023

Let’s look at the unique enabling characteristics of business events through two use case examples, then see how easy it’s to get started. Inventory counts, revenue reports, and service activation flows are just a few examples that demand precision. This diagram shows a few examples of business events.

Analytics 229

Analytics Retail Storage Monitoring 229

Dynatrace

OCTOBER 14, 2022

This way, it‘s possible to flexibly select what confidential or sensitive information (for example, PII) is hashed or completely removed before it leaves the enterprise premises. OneAgent processes rules precisely in this order, with host scope rules processed before host group and tenant scope rules. Host group.

Storage 229

Storage Government Network Infrastructure 229

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. It provides tools for organizing and retrieving data efficiently.

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In late 2021, for example, digital forensics was central to combating the Log4Shell vulnerability. Cold storage and rehydration. Cold storage and rehydration.

Analytics 183

Analytics Storage Retail Monitoring 183

The Netflix TechBlog

NOVEMBER 29, 2023

Bitrate versus quality comparison HDR-VMAF is designed to be format-agnostic — it measures the perceptual quality of HDR video signal regardless of its container format, for example, Dolby Vision or HDR10. Shown below are rate versus quality examples for a couple of titles from our HDR catalog. We present two sets. The first set (Fig.

Open Source 252

Open Source Software Engineering Internet Internet 252

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

MARCH 27, 2024

AWS AppFabric ingests and normalizes audit logs from SaaS applications and delivers them to an Amazon Simple storage service (Amazon S3) bucket in an organization’s AWS account. For example, some SaaS applications include the user’s IP Address and Country on their audit logs. 16) our company users access the internet from.

AWS 248

AWS Analytics Government Monitoring 248

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 180

Metrics Engineering Energy Tuning 180

Dynatrace

FEBRUARY 2, 2023

When combined with Dynatrace Grail™, business events gain long-term, cost-effective storage, unaggregated granularity, instant indexless queries, and automatic Smartscape ® topology context. It’s at this point—immediately after processing—where you can extract metrics from your events by defining extraction rules.

Analytics 204

Analytics Metrics DevOps Storage 204

Dynatrace

SEPTEMBER 13, 2023

For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services. This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

AWS 249

AWS Efficiency Azure Cloud 249

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

The Netflix TechBlog

OCTOBER 19, 2020

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which The process started with manual pull of member account information that was part of the session. We use Mantis for processing the stream of collected traces, and we use Cassandra for storing traces.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

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 187

Systems Cloud Analytics DevOps 187

Dynatrace

SEPTEMBER 26, 2022

Progressive rollouts, rollbacks, storage orchestration, bin packing, self-healing, cost efficiency, and access to the Cloud Native Computing Foundation (CNCF) ecosystem carry heavy observability challenges. Triage and diagnosis become a long process of hunting for clues. Incidents are harder to solve.

Storage 302

Storage Engineering Traffic Infrastructure 302

Dynatrace

FEBRUARY 2, 2023

For example, to monitor non-compute resources in Azure, many solutions require special components configured separately or even hosted by the customer. This process is often slow because component setup takes time. You no longer need to install and configure separate components for Azure monitoring (for example, Dynatrace ActiveGate).

Azure 227

Azure Cloud Monitoring Metrics 227

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 148

Storage Latency Operating System Network 148

The Morning Paper

NOVEMBER 5, 2019

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., It’s also a fabulous example of recognising and challenging implicit assumptions. In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. SOSP’19.

Storage 64

Storage Systems Hardware Efficiency 64

Percona

OCTOBER 13, 2023

When MySQL generates a core file, the VS code simplifies the process of debugging. You should download and install the debug info package based on the MySQL version, for example, version 8.0.34. Once the debug process starts, we can find the debug toolbar at the top center and threading information on the CALL STACK view.

Code 100

Code C++ Storage Programming 100

Dynatrace

JANUARY 22, 2024

For example, machine learning can identify correlations in data and generate predictions, while causal AI determines which ones are the true drivers. Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases. Government.

Artificial Intelligence 210

Artificial Intelligence Healthcare Retail Government 210

Dynatrace

SEPTEMBER 5, 2023

This data-driven approach fosters continuous refinement of processes and systems. Operators need to closely observe business-critical resource capacities such as storage, CPU, and memory to avoid outages that are driven by resource shortages. This is just one example of predictive AI in action.

Artificial Intelligence 265

Artificial Intelligence DevOps Analytics Engineering 265

Scalegrid

JANUARY 9, 2024

The selection process for a suitable cloud provider is crucial as it involves aligning business objectives, regulatory requirements, and current technological infrastructure with strong cloud security measures. This process involves converting regular data into a coded form, which helps to protect its privacy and guard against cyber threats.

Strategy 130

Strategy Cloud Best Practices Government 130

Dynatrace

AUGUST 26, 2020

Say, for example, that you have some unused high memory instances (1 TB RAM / 128 vCPU cores or higher). Optimal metric storage management strategy. Dynatrace Managed metric storage management is reliable and delivers high performance. Increased processing power with the update to JRE 11.

Performance 150

Performance Hardware Java Storage 150

Dynatrace

OCTOBER 17, 2023

Grail stores and unifies all observability, security, and business data Now organizations can store all their observability, security, and business data in one repository: Grail , in Dynatrace without having to manage schemas, indexes, or storage tiers. This frees teams to focus on more strategic tasks.

Monitoring 228

Monitoring Artificial Intelligence Performance Analytics 228

Dynatrace

DECEMBER 20, 2021

For example, the <body> element of your page exists on one branch of this tree structure, with any <img> assets branching off. Consider the example of “rage clicks,” which are rapid clicks (or taps) on the same spot when a feature is unresponsive. For example, are all user bounces caused by the same issue?

Mobile 248

Mobile Website Analytics Cache 248

Dynatrace

JUNE 16, 2020

Dynatrace OneAgent has been able to detect TIBCO EMS processes out-of-the-box for some time already. With our new TIBCO EMS extension you can further enrich this information and see, for example, how many messages are getting stuck or how many messages went through the system. Synchronous storage size. Async storage size.

Storage 133

Storage Metrics Java Architecture 133

Dynatrace

OCTOBER 7, 2020

Topology metrics are related to specific entities in your Smartscape topology (for example, the number of successful and failed batch jobs processed by a host). Non-topology metrics are not related to any Smartscape entity (for example, a retailer’s revenue numbers per store).

Metrics 245

Metrics Analytics Storage Monitoring 245

The Netflix TechBlog

OCTOBER 15, 2019

Another thread or process is constantly polling events from the log table and writes them to one or multiple datastores, optionally removing events from the log table after acknowledged by all datastores. Thus, ensuring the atomicity of writes across different storage technologies remains a challenging problem for applications [3].

Transportation 192

Transportation Architecture Processing Storage 192

The Netflix TechBlog

OCTOBER 28, 2021

CL provides an end-to-end solution for logging, processing, and analyzing user interactions on Netflix apps from all devices. The project I am most proud of is building the Consolidated Logging V2 platform which processes and enriches data at a massive scale (5 million+ events per sec at peak) in real-time.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

Dynatrace

JUNE 1, 2023

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. Teams can build on these SLO examples to improve application performance and reliability. In this post, I’ll lay out five SLO examples that every DevOps and SRE team should consider. or 99.99% of the time.

Traffic 173

Traffic Latency Website Virtualization 173

Percona

MAY 29, 2023

pgBackrest on the Main site streams backups and Write Ahead Logs (WALs) to the object storage. Once installed, configure the Custom Resource manifest so that pgBackrest starts using the Object Storage of your choice. In each cluster, there are the following components: Percona Operator PostgreSQL cluster pgBackrest pgBouncer 3.

Storage 119

Storage Cloud Network Traffic 119

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 202

Monitoring Serverless Programming Speed 202

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 201

Monitoring Serverless Programming Speed 201

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 161

Virtualization Infrastructure Monitoring Cloud 161

Dynatrace

DECEMBER 16, 2020

Track changes via our change management process. Every storage location involving data at rest is encrypted as well. The signatures are automatically verified during the update process on the customer infrastructure. Automatically run thousands of automated tests. Automatically sign and verify during installation.

Software 236

Software Software Development AWS 236

Dynatrace

MARCH 10, 2021

If you’re responsible for maintaining your organization’s OneAgent install process or you have particular interest in the OneAgent file footprint on your monitored hosts, this article is for you. The settings of logs location is another piece of the puzzle of flexible OneAgent file storage configurability. Dynatrace news.

Storage 143

Storage Processing Systems Monitoring 143