Dynatrace

JUNE 9, 2023

Data volumes are growing all the time, making it harder to orchestrate, process, and analyze to turn information into insight. Data scale and silos present challenges to DevOps maturity DevOps teams often run into problems trying to drive better data-driven decisions with observability and security data. What is DevOps maturity?

DevOps 188

DevOps Analytics Storage Metrics 188

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

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 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 205

Monitoring Serverless Programming Speed 205

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 204

Monitoring Serverless Programming Speed 204

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. The security controls presented above are audited on an annual basis by independent security assessors.

Software 238

Software Software Development AWS 238

Dynatrace

MAY 6, 2021

Contact Dynatrace ONE if you wish to enable Cluster-side screenshot storage on pre-1.216 fresh-installed Clusters. To better present default values, we changed the position of session replay permissions in group details page. . Consumption and storage now returned correctly when using Environment API with paging. APM-290353).

Operating System 234

Operating System AWS Metrics Storage 234

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. A feature that enables you to present log data in a filterable table that is easy to work with. Why Dynatrace?

AWS 223

AWS Transportation Network Traffic 223

Dynatrace

FEBRUARY 14, 2022

Among these, you can find essential elements of application and infrastructure stacks, from app gateways (like HAProxy), through app fabric (like RabbitMQ), to databases (like MongoDB) and storage systems (like NetApp, Consul, Memcached, and InfluxDB, just to name a few). Customizable dashboard. Specialized Unified Analysis page.

Technology 222

Technology Technology Metrics Infrastructure 222

The Netflix TechBlog

JUNE 12, 2023

The agent also enables rotation of recovery keys after use, local storage and validation of recovery keys, and other features. The Escrow Buddy repository leverages GitHub Actions to streamline the process of building new codesigned and notarized releases when new changes are merged into the main branch.

Open Source 194

Open Source Database Servers Storage 194

Dynatrace

JANUARY 16, 2023

The immense growth of Kubernetes presents new security challenges in runtime and increased complexity in hardening CI/CD pipelines in development. Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments.

Open Source 346

Open Source Java Operating System Programming 346

Dynatrace

DECEMBER 16, 2021

It’s present in major platforms from Amazon Web Services to VMware, and services large and small. The web of dependencies among affected platforms and services means patching can be a complex and possibly time-consuming process. What makes Log4Shell so dangerous is how ubiquitous the Log4j 2 library is.

Internet 262

Internet Internet Games Java 262

Dynatrace

MAY 26, 2021

In the keynote by Christina Yakomin and Steve Prazenica from Vanguard, the presenters recounted their journey from a monolith with alert-based incident reporting and no positive health signals to an observable microservice architecture. Trace-based sampling can help you save storage costs.

AWS 217

AWS Strategy Storage Metrics 217

Percona

MAY 9, 2023

Many MongoDB clusters use storage-level snapshots to provide fast and reliable backups. cluster_name-cfg.namespace_name.svc.cluster.local:27017"} }); Percona MongoDB Operator requires system-level MongoDB users to be present in a database. Replace cluster_name , namespace_name with your values.

Storage 102

Storage Cloud Servers Google 102

Percona

JULY 24, 2023

PBM) introduced a GA version of incremental physical backups , which can greatly impact both the recovery time and the cost of backup (considering storage and data transfer cost). Contact me through any channels (we do have our Jira open to the Community, my email is available in the footnote, and I am present on LinkedIn).

Availability 74

Availability Open Source Strategy Storage 74

The Netflix TechBlog

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. On the other hand, these optimizations themselves need to be sufficiently inexpensive to justify their own processing cost over the gains they bring.

Storage 203

Storage Latency Efficiency Data Engineering 203

Scalegrid

NOVEMBER 23, 2023

Configure the PostgreSQL hostname by editing configuration files and restarting the server, with secure storage of connection details to enhance security. The host variable can be found within specified code strings dedicated to creating/modifying content present on that particular remotely located Postgresql platform system.

Database 130

Database Servers Storage Network 130

All Things Distributed

OCTOBER 16, 2019

Because these IoT devices are powered by microprocessors or microcontrollers that have limited processing power and memory, they often rely heavily on AWS and the cloud for processing, analytics, storage, and machine learning. In other words, process the data closer to where it's created.

IoT 126

IoT Healthcare Internet Internet 126

Percona

JUNE 4, 2023

Introduction: MariaDB vs. MySQL The goal of this blog post is to evaluate, at a higher level, MariaDB vs. MySQL vs. Percona Server for MySQL side-by-side to better inform the decision making process. Disadvantages: While MariaDB is a popular and widely-used RDBMS, it can present some disadvantages to users that may not be present in others.

Open Source 52

Open Source Servers Storage Scalability 52

Dynatrace

MAY 26, 2021

In the keynote by Christina Yakomin and Steve Prazenica from Vanguard, the presenters recounted their journey from a monolith with alert-based incident reporting and no positive health signals to an observable microservice architecture. Trace-based sampling can help you save storage costs.

AWS 147

AWS Strategy Storage Metrics 147

All Things Distributed

MAY 19, 2017

In a paper published this week at SIGMOD'17 , the Amazon Aurora team presents the design considerations for the new database engine and how they addressed them. We believe the central constraint in high throughput data processing has moved from compute and storage to the network.

Database 120

Database Design Cloud Storage 120

Dynatrace

MAY 9, 2019

Some time ago, we decided to take a stab at a number of architectural challenges present in the OneAgent installer for Windows. Consequently, each new version of OneAgent for Windows consumed double storage space: one for the *.exe “How does the new process compare to the old one exactly?” Dynatrace news.

Storage 116

Storage Tuning Traffic Architecture 116

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. This plays a crucial role in supervising the replication process.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

MAY 15, 2019

However, this approach eventually led to storage issues. To address this storage issue for older snapshots, we’ve adapted our cleanup strategy so that monthly snapshots are now removed automatically after 6 months. An error page was presented when a user tried to log in to an environment with insufficient permissions.

Storage 103

Storage Metrics Strategy Java 103

Dynatrace

JUNE 15, 2020

This usually also works across different versions of your app, so that you can easily find out if a crash is still present in a new release. Ideally, symbol files are uploaded as part of your automated deployment process. Grouping: Dynatrace groups crashes by similarity of the stack trace and occurrence in the source code.

Mobile 165

Mobile Servers Operating System Storage 165

Percona

AUGUST 18, 2023

and this transition presented several challenges. This blog will explore the hurdles encountered during the upgrade process and the innovative solution that saved the day. 2023-05-12T08:10:39.374389Z 1 [ERROR] [MY-011013] [Server] Failed to initialize DD Storage Engine. to MySQL 8.0, The incompatibility roadblock MariaDB 10.4

Open Source 65

Open Source Database Storage Engineering 65

Adrian Cockcroft

NOVEMBER 26, 2023

Yet many companies find it challenging to integrate digital technologies meaningfully into their operations, and they still rely on inefficient processes that generate unnecessary waste. In this session, SK ecoplant shares how they were able to unlock the power of digital technologies to improve natural resource management and reduce waste.

AWS 52

AWS Energy IoT Best Practices 52

Testsigma

MAY 7, 2020

All data management tasks included moving data from back-end systems to identifying test data, data masking of sensitive data, skipped production defects due to unavailability of correct test data, manipulation of data for different scenarios, storage of test data.”. So the complete process was reviewed and evaluated.

Testing 60

Testing Storage Database Processing 60

The Netflix TechBlog

JULY 30, 2019

Many of the Netflix Content and Studio Engineering services rely on Conductor for efficient processing of their business flows. In this blog, we would like to present the latest updates to Conductor, address some of the frequently asked questions and thank the community for their contributions. Validations and Testing Dry runs, i.e

Lambda 189

Lambda Media Open Source Metrics 189

Brendan Gregg

FEBRUARY 28, 2023

Titus, the Netflix container management platform, is now open source,” [link] Apr 2018 - [Cutress 19] Dr. [link] 2021 - [Trader 21] Tiffany Trader, “Cerebras Second-Gen 7nm Wafer Scale Engine Doubles AI Performance Over First-Gen Chip ,” [link] Apr 2021 - [Ghigoff 21] Yoann Ghigoff, et al., "BMC:

Performance 110

Performance Latency Cache Virtualization 110

Dynatrace

JUNE 8, 2021

Continuous improvement of services is the most efficient process for all teams that are looking to improve the performance of their applications by considering all layers of their architecture. Wolfgang Heider and Kristof Renders recently presented a topic at the SLOconf 2021, answering most of this question.

Metrics 170

Metrics Tuning Programming Systems 170

SQL Performance

MARCH 17, 2020

I will be looking for distinct values in the BountyAmount column of the dbo.Votes table, presented in bounty amount order ascending. The Sort only has 19 rows to process, so it consumes only 1ms or so. Not everyone will be able to move to column store storage quickly, and it won't always be the right solution anyway.

Servers 86

Servers Tuning Database Efficiency 86

The Netflix TechBlog

NOVEMBER 22, 2019

This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. Technology advancements in content creation and consumption have also increased its data footprint.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. Technology advancements in content creation and consumption have also increased its data footprint.

AWS 100

AWS Entertainment Open Source Benchmarking 100

Dynatrace

SEPTEMBER 17, 2019

Instead of presenting you with a handful of random screenshots from our demo environment I reached out to Robert, a close friend of mine, who leads a development team with the current task to re-architect and re-platform their multi-tenant SaaS-based eCommerce platform. PostgreSQL & Elastic for data storage. REDIS for caching.

AWS 128

AWS Monitoring Ecommerce Lambda 128

Brendan Gregg

DECEMBER 31, 2017

Storage I/O. Here are the talks from my immediate colleagues in building F, level 2 at Netflix: - Vadim Filanovsky (perf team) co-presented Auto Scaling Made Easy: How Target Tracking Scaling Policies Hit the Bullseye. John Bennett (networking) co-presented How Netflix Monitors Applications in Near Real-Time with Amazon Kinesis.

Tuning 61

Tuning AWS Best Practices Network 61

Brendan Gregg

DECEMBER 30, 2017

Storage I/O. Here are the talks from my immediate colleagues in building F, level 2 at Netflix: - Vadim Filanovsky (perf team) co-presented Auto Scaling Made Easy: How Target Tracking Scaling Policies Hit the Bullseye. John Bennett (networking) co-presented How Netflix Monitors Applications in Near Real-Time with Amazon Kinesis.

Tuning 52

Tuning AWS Best Practices Network 52