Dynatrace

MARCH 23, 2020

A decade ago, while working for a large hosting provider, I led a team that was thrown into turmoil over the purchasing of server and storage hardware in preparation for a multi-million dollar super-bowl ad campaign. Rapid OneAgent rollouts on Google Kubernetes Engine. Dynatrace news. The OneAgent Helm chart is one-of-a-kind.

Google 194

Google Engineering Metrics Hardware 194

SQL Shack

JULY 28, 2020

In this article, we will learn how to test our storage subsystems performance using Diskspd. The storage subsystem is one of the key performance factors for SQL Server because SQL Server storage engine stores database objects, tables, and indexes on the physical files.

Storage 82

Storage Servers Testing Engineering 82

DZone

OCTOBER 24, 2023

The ELK stack is an abbreviation for Elasticsearch, Logstash, and Kibana, which offers the following capabilities: Elasticsearch: a scalable search and analytics engine with a log analytics tool and application-formed database, perfect for data-driven applications.

Analytics 255

Analytics Storage Infrastructure Scalability 255

DZone

MARCH 29, 2023

Data migration involves transferring data from on-premise storage to the cloud. The article will also explore the role of data engineering in ensuring successful data transfer and integration and different approaches to data migration.

Best Practices 304

Best Practices Cloud Storage Data Engineering 304

DZone

MAY 5, 2023

This blog post explores the benefits of combining both open-source frameworks, shows unique differentiators of Flink versus Kafka, and discusses when to use a Kafka-native streaming engine like Kafka Streams instead of Flink. The Tremendous Adoption of Apache Kafka and Apache Flink Apache Kafka became the de facto standard for data streaming.

Open Source 246

Open Source Storage Innovation Engineering 246

High Scalability

JANUARY 11, 2022

Machine Learning Engineer at Amazon and has led several machine-learning initiatives across the Amazon ecosystem. FUN FACT : In this talk , Rodrigo Schmidt, director of engineering at Instagram talks about the different challenges they have faced in scaling the data infrastructure at Instagram. This is a guest post by Ankit Sirmorya.

Design 334

Design Media Storage Logistics 334

Uber Engineering

AUGUST 14, 2019

Maintaining Uber’s large-scale data warehouse comes with an operational cost in terms of ETL functions and storage. Once identified, … The post Less is More: Engineering Data Warehouse Efficiency with Minimalist Design appeared first on Uber Engineering Blog.

Efficiency 103

Efficiency Engineering Design Storage 103

DZone

NOVEMBER 27, 2023

An open-source distributed SQL query engine, Trino is widely used for data analytics on distributed data storage. Optimizing Trino to make it faster can help organizations achieve quicker insights and better user experiences, as well as cut costs and improve infrastructure efficiency and scalability. But how do we do that?

Tuning 152

Tuning Speed Performance Open Source 152

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. Such context is easy to understand using the Dynatrace Davis AI engine. Incidents are harder to solve.

Storage 302

Storage Engineering Traffic Infrastructure 302

Uber Engineering

NOVEMBER 1, 2016

Uber Engineering’s Schemaless storage system powers some of the biggest services at Uber, such as Mezzanine. Managing these clusters was fairly easy when we had … The post Dockerizing MySQL at Uber Engineering appeared first on Uber Engineering Blog.

Engineering 111

Engineering Storage Scalability Availability 111

The Netflix TechBlog

APRIL 27, 2023

Engineers want their alerting system to be realtime, reliable, and actionable. 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! It opens doors to support more exciting use-cases.

Storage 288

Storage Cache Metrics Database 288

Dynatrace

SEPTEMBER 5, 2023

Predictive AI empowers site reliability engineers (SREs) and DevOps engineers to detect anomalies and irregular patterns in their systems long before they escalate into critical incidents. Through predictive analytics, SREs and DevOps engineers can accurately forecast resource needs based on historical data. Capacity planning.

Artificial Intelligence 265

Artificial Intelligence DevOps Analytics Engineering 265

Dotcom-Montior

OCTOBER 6, 2021

A site reliability engineer, or SRE, is a role that that encompasses aspects of both software engineering and operations/infrastructure. The term site reliability engineering first came into existence at Google in 2003 when a site reliability team was created. At that time, the team was made up of software engineers.

Engineering 67

Engineering DevOps Monitoring Google 67

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 We needed to increase engineering productivity via distributed request tracing. That is the first question our engineering teams asked us when integrating the tracer library.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

JULY 29, 2022

As development and site reliability engineering (SRE) teams strive to release software faster, log analytics can provide key insight into software quality as part of a broader DevOps observability and automation initiative. Cold storage and rehydration. Cold storage and rehydration. Better-quality code. Inadequate context.

Analytics 217

Analytics Storage Retail Monitoring 217

DZone

DECEMBER 17, 2021

The load testing for the database needs to be conducted usually so that the impact on the system can be monitored in different scenarios, such as query language rule optimization, storage engine parameter adjustment, etc. The operating system in this article is the x86 CentOS 7.8.

Testing 240

Testing Operating System Storage Performance 240

DZone

JANUARY 31, 2024

Correlation Engine: SIEM systems analyze and correlate the collected data to identify patterns, anomalies, and potential security incidents. Problem Statement In Data Engineering , the data/log collection is a challenging task for high-volume sources. This helps in detecting threats and attacks in real time.

Storage 136

Storage Data Engineering Network Infrastructure 136

The Netflix TechBlog

NOVEMBER 29, 2023

In spite of reaching higher qualities than the fixed ladder, the HDR-DO ladder, on average, occupies only 58% of the storage space compared to fixed-bitrate ladder. Join us and be a part of the amazing team that brought you this tech-blog; open positions: Software Engineer, Cloud Gaming Software Engineer, Live Streaming References [1] L.

Open Source 252

Open Source Software Engineering Internet Internet 252

Dynatrace

NOVEMBER 6, 2023

But there’s more than just a need for minimizing resource (CPU, memory, storage) and network (bandwidth) consumption for observability at the edge. You can ask Davis, the Dynatrace AI engine , to correlate CPU usage against other signals. Remote management and automated alerting are, therefore, crucial.

Retail 261

Retail Analytics Storage Cloud 261

Percona

FEBRUARY 15, 2023

Bloom filters are an essential component of an LSM-based database engine like MyRocks. LSM storage engines like MyRocks are very different from the more common B-Tree-based storage engines like InnoDB. Bloom filter is an important feature improving performance of LSM storage engines.

Storage 131

Storage Tuning Cache Engineering 131

Dynatrace

NOVEMBER 28, 2023

In the previous installment of this blog series , we explored how to set up Dynatrace as a build-stage orchestrator to effectively address the challenges faced by Site Reliability Engineers (SREs). This approach effectively combats configuration drift. To illustrate this concept, consider the scenario below.

Traffic 264

Traffic Best Practices Strategy Engineering 264

Percona

OCTOBER 13, 2023

MySQL writes a.sdi file to accommodate the serialized dictionary information for storage engines that lack support for this functionality. Storage engine compatibility Different MySQL storage engines handle.sdi files in various ways. The exact handling can vary depending on the storage engine.

Storage 99

Storage Database Engineering Open Source 99

Uber Engineering

MAY 2, 2024

Learn how Uber serves over 40 million reads per second from its in-house, distributed database built on top of MySQL using an integrated caching solution: CacheFront.”

Cache 75

Cache Storage Database 75

Dynatrace

JULY 29, 2022

As development and site reliability engineering (SRE) teams strive to release software faster, log analytics can provide key insight into software quality as part of a broader DevOps observability and automation initiative. Cold storage and rehydration. Cold storage and rehydration. Better-quality code. Inadequate context.

Analytics 183

Analytics Storage Retail Monitoring 183

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. In a DBMS, data serves as the material which the system stores, structures, and controls.

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

MARCH 24, 2023

Problems include provisioning and deployment; load balancing; securing interactions between containers; configuration and allocation of resources such as networking and storage; and deprovisioning containers that are no longer needed. Mesos also supports other orchestration engines, including Kubernetes and Docker Swarm.

Infrastructure 188

Infrastructure Open Source Operating System Cloud 188

DZone

JULY 20, 2021

Taking a proactive and efficient approach to Kubernetes cluster monitoring can help engineering teams identify and predict many critical problems like CPU outage, memory outage, storage issues well in advance of these issues taking a toll on a business. Introduction.

Monitoring 246

Monitoring Storage Efficiency Engineering 246

Dynatrace

JANUARY 4, 2024

It starts with implementing data governance practices, which set standards and policies for data use and management in areas such as quality, security, compliance, storage, stewardship, and integration. Fragmented and siloed data storage can create inconsistencies and redundancies.

Government 202

Government Analytics Benchmarking Storage 202

DZone

OCTOBER 11, 2022

Email Reveals Google App Engine Search API About Ready For Preview Release, Charges Planned For Storage, Operations ( TechCrunch). Thoughts, Insights and Further Pointers. Javalobby – The heart of the Java developer community). Why Are Public Fields No Good, Again? The Daily Six Pack: June 5, 2013 ( Dirk Strauss).

Java 244

Java Best Practices Google Analytics 244

Percona

MARCH 7, 2023

One approach is to separate compute and storage to allow for independent scaling. By separating storage and compute, Neon replaces the PostgreSQL storage layer with data nodes, and compute nodes are distributed across a cluster of nodes. Architecture A Neon installation consists of compute nodes and the Neon storage engine.

Serverless 116

Serverless Storage Open Source Architecture 116

Dynatrace

MARCH 15, 2024

Syslog is the go-to protocol that delivers infrastructure administrators, network engineers, and security team logs that tell them all they need to know about their systems’ delivery, performance, availability, and security.

Open Source 203

Open Source Infrastructure Network Government 203

All Things Distributed

AUGUST 20, 2012

Managing Cold Storage with Amazon Glacier. With the introduction of Amazon Glacier , IT organizations now have a solution that removes the headaches of digital archiving and provides extremely low cost storage. All Things Distributed. Werner Vogels weblog on building scalable and robust distributed systems. Expanding the Cloud â??

Storage 122

Storage Cloud AWS Media 122

Percona

APRIL 20, 2023

In this blog post, you will learn: how to leverage FDE on Kubernetes with Percona Operator for PostgreSQL how to start using encrypted storage for already running cluster Prepare In most public clouds, block storage is not encrypted by default. The configuration of the storage class depends on your storage plugin.

Storage 124

Storage AWS Cloud Database 124

Dynatrace

MAY 7, 2024

New processors: Introducing new processors, including Metric Selector and Content Modifier, for selective data processing and metadata adjustment, improving data relevance and storage efficiency. By default, you have a storage type memory, but you may exceed this buffer limit if you have a lot of data.

Best Practices 130

Best Practices IoT Metrics Storage 130

Dynatrace

JANUARY 23, 2024

Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. To learn more about platform engineering, explore the following resources.

Performance 188

Performance DevOps Innovation Artificial Intelligence 188

High Scalability

NOVEMBER 2, 2020

This is guest a post by Preetam Jinka , Senior Infrastructure Engineer at ShiftLeft. We rewrote almost all of the storage used for storing code analysis results while maintaining backwards compatibility and without any outages. Originally published here. Earlier this year we released Secrets, Security Insights, and a v4 API.

Storage 231

Storage Design Infrastructure Engineering 231

InfoQ

DECEMBER 29, 2023

Zendesk reduced its data storage costs by over 80% by migrating from DynamoDB to a tiered storage solution using MySQL and S3. The company considered different storage technologies and decided to combine the relational database and the object store to strike a balance between querybility and scalability while keeping the costs down.

Storage 134

Storage Scalability Database Technology 134