Dynatrace

APRIL 8, 2022

Fluentd is an open-source data collector that unifies log collection, processing, and consumption. Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. Built-in resiliency ensures data completeness and consistency even if Fluentd or an endpoint service goes down temporarily.

Metrics 184

Metrics Analytics Software Architecture Open Source 184

Dynatrace

JUNE 9, 2023

ln a world driven by macroeconomic uncertainty, businesses increasingly turn to data-driven decision-making to stay agile. They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. All of these factors challenge DevOps maturity.

DevOps 189

DevOps Analytics Storage Metrics 189

Dynatrace

OCTOBER 4, 2022

Some time ago, at a restaurant near Boston, three Dynatrace colleagues dined and discussed the growing data challenge for enterprises. At its core, this challenge involves a rapid increase in the amount—and complexity—of data collected within a company. Work with different and independent data types. Thus, Grail was born.

Artificial Intelligence 272

Artificial Intelligence Analytics Storage Architecture 272

Scalegrid

JANUARY 25, 2024

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Redis returns a big list of database metrics when you run the info command on the Redis shell. You can pick a smart selection of relevant metrics from these.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

APRIL 28, 2023

Optimize cost and availability while staying compliant Observability data like logs and metrics provide automated answers, root cause detection, and security issues. Customer decisions about data retention are often determined by important security, privacy, and legal issues.

Analytics 219

Analytics Storage Infrastructure Metrics 219

Dynatrace

MAY 7, 2024

Fluent Bit is a telemetry agent designed to receive data (logs, traces, and metrics), process or modify it, and export it to a destination. Fluent Bit can serve as a proxy before you send data to Dynatrace or similar. However, you can also use Fluent Bit as a processor because you can perform various actions on the data.

Best Practices 248

Best Practices IoT Metrics Storage 248

Dynatrace

JANUARY 31, 2024

I have ingested important custom data into Dynatrace, critical to running my applications and making accurate business decisions… but can I trust the accuracy and reliability?” ” Welcome to the world of data observability. At its core, data observability is about ensuring the availability, reliability, and quality of data.

DevOps 198

DevOps Analytics Airlines Metrics 198

Dynatrace

APRIL 20, 2023

Modern organizations ingest petabytes of data daily, but legacy approaches to log analysis and management cannot accommodate this volume of data. based financial services group, discussed how the bank uses log monitoring on the Dynatrace platform with an emphasis on observability and security data.

Analytics 193

Analytics Infrastructure Storage Efficiency 193

Dynatrace

OCTOBER 7, 2020

Dynatrace recently opened up the enterprise-grade functionalities of Dynatrace OneAgent to all the data needed for observability, including metrics, events, logs, traces, and topology data. Davis topology-aware anomaly detection and alerting for your custom metrics.

Metrics 246

Metrics Analytics Storage Monitoring 246

Dynatrace

APRIL 8, 2022

Fluentd is an open-source data collector that unifies log collection, processing, and consumption. Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. Built-in resiliency ensures data completeness and consistency even if Fluentd or an endpoint service goes down temporarily.

Metrics 130

Metrics Analytics Software Architecture Open Source 130

Dynatrace

OCTOBER 4, 2022

Software and data are a company’s competitive advantage. But for software to work perfectly, organizations need to use data to optimize every phase of the software lifecycle. The only way to address these challenges is through observability data — logs, metrics, and traces. Teams interact with myriad data types.

Analytics 196

Analytics Software Software Storage 196

Dynatrace

FEBRUARY 16, 2023

How do you get more value from petabytes of exponentially exploding, increasingly heterogeneous data? The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022.

Analytics 191

Analytics Innovation Metrics Database 191

Dynatrace

SEPTEMBER 5, 2023

Predictive AI uses machine learning, data analysis, statistical models, and AI methods to predict anomalies, identify patterns, and create forecasts. Through predictive analytics, SREs and DevOps engineers can accurately forecast resource needs based on historical data. Proactive resource allocation. Capacity planning.

Artificial Intelligence 267

Artificial Intelligence DevOps Analytics Engineering 267

Percona

FEBRUARY 10, 2023

ViewBlock , a blockchain explorer, uses the Percona Operator for MongoDB to store critical data. Today along with their team, we will see how pvc-autoresizer can automate storage scaling for MongoDB clusters on Kubernetes. In our lab we will use AWS EKS with a standard storage class. Note : If you use version 1.14.0

Storage 105

Storage Blockchain AWS Cloud 105

Dynatrace

SEPTEMBER 7, 2022

Dynatrace and the Dynatrace Intelligent Observability Platform have added support for the newly introduced Amazon VPC Flow Logs to Amazon Kinesis Data Firehose. This support enables customers to define specific endpoint delivery of real-time streaming data to platforms such as Dynatrace. What is VPC Flow Logs? Why Dynatrace?

Traffic 221

Traffic AWS Network Cloud 221

DZone

NOVEMBER 25, 2023

We often dwell on the technical aspects of database selection, focusing on performance metrics , storage capacity, and querying capabilities. The New Decision Matrix: Beyond Performance Metrics Performance metrics are pivotal, no doubt. How do these metrics translate into real-world value for your business?

Database 268

Database Latency Speed Metrics 268

Dynatrace

OCTOBER 15, 2021

Let’s take a closer look and clear up any confusion about what it is, the telemetry data it covers, and the benefits it can provide. Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces.

Open Source 224

Open Source Metrics Cloud Transportation 224

Dynatrace

JANUARY 11, 2023

To stay competitive in an increasingly digital landscape, organizations seek easier access to business analytics data from IT to make better business decisions faster. As organizations add more tools, it creates a demand for common tooling, shared data, and democratized access. These technologies generate a crush of observability data.

Analytics 194

Analytics Strategy Storage Technology 194

Dynatrace

MAY 21, 2024

Data with context can improve your ability to deliver on your goals, modernize your organization, and accelerate business transformation. These outcomes are made easy through the platform’s unique ability to turn data into answers and action, in contextual, real-time, and cost-effective ways that were previously impossible.

Technology 206

Technology Technology Analytics Storage 206

The Netflix TechBlog

APRIL 27, 2023

A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! Atlas is an in-memory time-series database that ingests multiple billions of time-series per day and retains the last two weeks of data.

Storage 288

Storage Cache Metrics Database 288

Dynatrace

NOVEMBER 9, 2023

Nutanix overview dashboard The extension automatically gathers real-time performance data from your Nutanix clusters to monitor resource usage, cluster health, and more, all in one place. By integrating Nutanix metrics into Dynatrace, you can gain valuable insights into the performance and health of your Nutanix infrastructure.

Virtualization 198

Virtualization Storage Metrics Monitoring 198

The Netflix TechBlog

JUNE 25, 2021

By Gim Mahasintunan on behalf of Data Platform Engineering. Supporting a rapidly growing base of engineers of varied backgrounds using different data stores can be challenging in any organization. In this blog post, we are thrilled to share that we are open-sourcing one such tool: the Netflix Data Explorer.

Metrics 152

Metrics Best Practices Strategy Design 152

Dynatrace

NOVEMBER 6, 2023

Cloud-native workloads on edge devices are gaining momentum among organizations as they extend the hybrid cloud closer to the data source and end users at the edge. The challenge of cloud-native observability at the enterprise edge In aggregate, connected devices generate huge volumes of data.

Retail 264

Retail Analytics Storage Cloud 264

Dynatrace

MAY 23, 2024

Dynatrace ® AppEngine features a no- and low-code toolset and leverages Davis AI to empower teams to easily create and share custom, intelligent, and secure apps that leverage insights from data generated by their clouds. There’s no need for configuration or setup of any infrastructure.

Azure 221

Azure Cloud Metrics Innovation 221

Dynatrace

NOVEMBER 4, 2022

A new Dynatrace report highlights the challenges for government and public-sector organizations as they increasingly rely on cloud-native architectures—and a corresponding data explosion. This shift makes it harder to monitor, observe, and analyze data across a distributed technology stack. .

Government 147

Government Analytics Cloud Storage 147

Dynatrace

APRIL 24, 2024

To transparently manage expectations and maintain trust with our customers, we expanded the Dynatrace SLA beyond accessing the user interface to cover the full range of relevant product categories, such as processing and retaining incoming data, accessing and working with data, and triggering automations.

Azure 245

Azure Infrastructure Metrics AWS 245

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. Our object storage service splits objects into many parts and stores them in S3.

Media 214

Media Storage Processing Cache 214

Scalegrid

JANUARY 19, 2024

When a MongoDB rollback happens, it can cause trouble to your data integrity and system consistency. Understanding how to address a rollback is critical for minimizing potential data loss and maintaining seamless operations. The consequences of rollbacks are significant and should not be underestimated.

Database 130

Database Network Servers Monitoring 130

Dynatrace

OCTOBER 17, 2023

In today’s data-driven landscape, businesses are grappling with an unprecedented surge in data volume. The data generated by applications to support operational teams has reached overwhelming proportions. This data overload also prevents customer-centric pricing models as users consider cost-effective technology platforms.

Retail 242

Retail Storage Best Practices Architecture 242

Dynatrace

FEBRUARY 15, 2023

Teams can now use an observability platform to unify operations, business, and development data to gain automatic, precise answers about cloud environments and user experience. As a result, these leaders can ask different questions of the same data. Additionally, its modern architecture delivers cost-effective storage and compute.

Analytics 130

Analytics Storage Cloud Code 130

Dynatrace

OCTOBER 4, 2022

Several pain points have made it difficult for organizations to manage their data efficiently and create actual value. Limited data availability constrains value creation. Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes.

Analytics 240

Analytics Artificial Intelligence Storage Serverless 240

Dynatrace

MAY 6, 2024

Challenges organizations face in using observability and security data to drive automation. With 85% of organizations facing challenges using observability and security data to drive problem remediation and DevOps automation [1] , overcoming the burden of siloed data is imperative. In-context topology identification.

DevOps 290

DevOps Software Engineering Games Java 290

Dynatrace

JULY 11, 2023

But observability data (traces) can fill in the blanks to reveal useful evidence of possible exploitation, as proved by our analysis of the MoveIT vulnerability using Dynatrace. When exploiting the vulnerability, attackers can gain remote code injection capabilities in the MOVEit server and modify or steal sensitive data from its database.

Database 163

Database Government Games Servers 163

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. To reduce your CloudWatch costs and throttling, you can now select from additional services and metrics to monitor. Get up to 300 new AWS metrics out of the box. Dynatrace news.

AWS 137

AWS Metrics IoT Storage 137

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. To reduce your CloudWatch costs and throttling, you can now select from additional services and metrics to monitor. Get up to 300 new AWS metrics out of the box. Dynatrace news.

AWS 133

AWS Metrics IoT Storage 133

Percona

APRIL 14, 2023

A shared characteristic in most (if not all) databases, be them traditional relational databases like Oracle, MySQL, and PostgreSQL or some kind of NoSQL-style database like MongoDB, is the use of a caching mechanism to keep (a copy of) part of the data in memory. So, how do you know if your hot data is in memory? MySQL does.

Cache 87

Cache Efficiency Database Monitoring 87

Percona

NOVEMBER 6, 2023

Obviously, there are ways to monitor the backup through storage monitoring or Pod status, but why bother if the Operator already provides this information? The problem Kube-state-metrics talks to Kubernetes API and captures the information about various resources – Pods, Deployments, Services, etc. status.conditions) |.status'

Metrics 68

Metrics Monitoring Database Cache 68