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. Peak performance analysis.

Analytics 178

Analytics Storage Retail Monitoring 178

Dynatrace

DECEMBER 18, 2023

For busy site reliability engineers, ensuring system reliability, scalability, and overall health is an imperative that’s getting harder to achieve in ever-expanding, cloud-native, container-based environments. But often, we use additional services and solutions within our environment for backups, storage, networking, and more.

Metrics 175

Metrics Engineering Energy Tuning 175

Percona

SEPTEMBER 1, 2023

MySQL performance tuning offers several significant advantages for effective database management and optimization. Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. Experiencing database performance issues?

Tuning 52

Tuning Database Performance Hardware 52

Scalegrid

JANUARY 9, 2024

As more and more enterprises incorporate cloud-based systems, ensuring their security becomes a key concern. Defining Enterprise Cloud Security In today’s business landscape, the reliance on cloud services for data storage and processing has made enterprise cloud security a crucial factor.

Strategy 130

Strategy Cloud Best Practices Government 130

The Morning Paper

JUNE 16, 2019

Towards multiverse databases Marzoev et al., The central idea behind multiverse databases is to push the data access and privacy rules into the database itself. With multiverse databases, each user sees a consistent “parallel universe” database containing only the data that user is allowed to see.

Database 90

Database Cache Benchmarking Efficiency 90

The Netflix TechBlog

JUNE 12, 2023

To be a client systems engineer is to take joy in small endpoint automations that make your fellow employees’ day a little better. Relatively few authorization plugins are broadly used within the Mac admin community, but one popular example is the Crypt agent. We call this new tool Escrow Buddy.

Open Source 194

Open Source Database Servers Storage 194

Scalegrid

NOVEMBER 23, 2023

Imagine a world where your PostgreSQL® database connections are seamless and secure. Key Takeaways Understanding PostgreSQL hostname is essential for successful database connections. Configure the PostgreSQL hostname by editing configuration files and restarting the server, with secure storage of connection details to enhance security.

Database 130

Database Servers Storage Network 130

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. Let’s dive in and learn how (and what) to effectively monitor MySQL performance, along with examples from PMM, by understanding the critical KPIs to watch for.

Performance 106

Performance Monitoring Traffic Database 106

SQL Performance

APRIL 15, 2020

SQL Server has always provided the ability to capture actual queries in an easily-consumable rowset format – first with legacy SQL Server Profiler, later via Extended Events, and now with a combination of those two concepts in Azure SQL Database. Although this can be somewhat helpful, it is not the same.

Azure 96

Azure Database Tuning Network 96

Dynatrace

JUNE 7, 2023

According to the Kubernetes in the Wild 2023 report, “Kubernetes is emerging as the operating system of the cloud.” Kubernetes also gives developers freedom of choice when selecting operating systems, container runtimes, storage engines, and other key elements for their Kubernetes environments. Ease of use.

Open Source 203

Open Source Social Media Infrastructure Operating System 203

Dynatrace

NOVEMBER 23, 2020

Nevertheless, there are related components and processes, for example, virtualization infrastructure and storage systems (see image below), that can lead to problems in your Kubernetes infrastructure. Configuring storage in Kubernetes is more complex than using a file system on your host. The Kubernetes experience.

Virtualization 160

Virtualization Infrastructure Monitoring Cloud 160

Percona

AUGUST 7, 2023

Both logs are crucial in the ACID (Atomicity, Consistency, Isolation, Durability) properties of database systems. In this blog post, we will delve into the differences between the InnoDB undo log and redo log, exploring their significance and providing code examples to illustrate their usage.

Database 96

Database Tuning Storage Open Source 96

Scalegrid

JANUARY 25, 2024

Redis® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. Redis returns a big list of database metrics when you run the info command on the Redis shell. This blog post lists the important database metrics to monitor.

Metrics 130

Metrics Monitoring Latency Cache 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 which is difficult when troubleshooting distributed systems. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Scalegrid

JANUARY 19, 2024

When a MongoDB rollback happens, it can cause trouble to your data integrity and system consistency. Data-bearing members face a higher risk of encountering issues caused by rollbacks, compared to others who utilize different storage methods.

Database 130

Database Network Servers Monitoring 130

Percona

MARCH 17, 2023

These updates are designed to keep databases running at peak performance and simplify database operations. But as companies grow and see more demand for their databases, we need to ensure that PMM also remains scalable so you don’t need to worry about its performance while tending to the rest of your environment.

Monitoring 101

Monitoring Scalability Cache Database 101

Dynatrace

OCTOBER 7, 2020

Seamlessly report and be alerted on non-topology-related custom metrics, using Dynatrace as a metric database. 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). Topology and non-topology metrics—what’s the difference?

Metrics 244

Metrics Analytics Storage Monitoring 244

Percona

MAY 29, 2023

With the ever-increasing reliance on data, system outages or data loss can be catastrophic, causing significant business disruptions and financial losses. pgBackrest on the Main site streams backups and Write Ahead Logs (WALs) to the object storage. Disaster recovery is not optional for businesses operating in the digital age.

Storage 122

Storage Cloud Network Traffic 122

All Things Distributed

AUGUST 20, 2012

Werner Vogels weblog on building scalable and robust distributed systems. 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. Comments ().

Storage 122

Storage Cloud AWS Media 122

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. A message queue enables the smooth flow of information to make complex systems work. Neither requires information about the other.

Monitoring 196

Monitoring Serverless Programming Speed 196

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. A message queue enables the smooth flow of information to make complex systems work. Neither requires information about the other.

Monitoring 195

Monitoring Serverless Programming Speed 195

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. Support for high memory instances. Wasted resources simply aren’t an option.

Performance 150

Performance Hardware Java Storage 150

HammerDB

APRIL 19, 2023

Among the different components of modern software solutions, the database is one of the most critical. There are many times we get asked why some cloud instance performed poorly for their database application and almost always turned out to be some configuration error. For storage, FIO is generally used.

Performance 54

Performance Benchmarking Cache Storage 54

ACM Sigarch

OCTOBER 4, 2018

This is the first post in a series of posts on different approaches to systems security especially as they apply to hardware and architectural security. In this post, we will consider the use of mathematics/cryptography as an approach to improving systems security.

Systems 47

Systems Hardware Storage Healthcare 47

SQL Server According to Bob

DECEMBER 3, 2019

I have previously tested and blogged about the NTFS, sparse, file system limitation error 665: [link] when running DBCC or using Snapshot databases with SQL Server. This paper details XFS storage format and structures: [link] – Specifically the theoretical limits table section. filefrag -v test.dat. – Bob Dorr.

Servers 45

Servers Systems Storage Database 45

The Morning Paper

SEPTEMBER 15, 2019

Fine-grained, secure and efficient data provenance on blockchain systems Ruan et al., For example, a contract that sends a reward amount of tokens to a user based on that user’s average balance per day over some period. For example, suppose the read set is and the write set is. VLDB’19.

Blockchain 55

Blockchain Efficiency Systems Storage 55

Percona

MAY 9, 2023

Many MongoDB clusters use storage-level snapshots to provide fast and reliable backups. Background story I recently worked with a company running a large four-shard MongoDB Enterprise Server database cluster on VMs on premises that decided to migrate to the Google Cloud Platform.

Storage 107

Storage Cloud Servers Google 107

The Netflix TechBlog

OCTOBER 15, 2019

Another issue exists for the capture of schema changes, where some systems, like MySQL, don’t support transactional schema changes [1][2]. By their nature, they can only rely on the lowest common denominator of participating systems. That system quickly grew very complex and became difficult to maintain.

Transportation 192

Transportation Architecture Processing Storage 192

Percona

SEPTEMBER 19, 2023

This type of backup is suitable for large, important databases that need to be recovered quickly when problems occur. Physical backups are the backups that consist of raw copies of the directories and files that store database contents. Taking backup off-peak time while the system saturation is lower.

C++ 107

C++ Servers Storage Speed 107

Percona

JUNE 4, 2023

Before we dive into the differences between MariaDB and MySQL, we will provide a thorough examination of each relational database management system (RDBMS). In addition, there are fewer resources, plugins, libraries, third-party tools, and sources of support available than for other, more established database systems.

Open Source 52

Open Source Servers Storage Scalability 52

Dynatrace

OCTOBER 15, 2021

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. Logs are important because you’ll naturally want an event-based record of any notable anomalies across the system. Watch webinar now!

Open Source 216

Open Source Metrics Cloud Transportation 216

Dynatrace

SEPTEMBER 30, 2021

AWS Certified SysOps Administrator – Associate: Do you already deploy, manage, and operate AWS system resources and want to learn how to perform those duties even more effectively? Then this one’s for you. Machine learning.

AWS 205

AWS Best Practices Analytics Cloud 205

ScaleOut Software

JULY 19, 2021

How are we managing the torrent of telemetry that flows into analytics systems from these devices? 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 list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

HammerDB

DECEMBER 1, 2022

Jobs Configuration and Storage. The base configuration for the jobs storage can be found in the generic.xml file in the commandline section. <commandline> For example on Windows an example of opening a new database. if one does not already exist in this location or open the existing one. . <commandline>

Virtualization 57

Virtualization C++ Storage Database 57

Dynatrace

AUGUST 28, 2020

Azure Data Lake Storage Gen1. For this, we selected three example services: Azure Automation, Azure Data Factory, and Azure Logic Apps. Manual tasks like shutting down virtual machines in bulk or creating database backups can be error prone. Azure Logic Apps. Azure Container Instance. Azure Data Factory v1. Azure Event Grid.

Azure 153

Azure Cloud Tuning Monitoring 153

The Netflix TechBlog

JULY 30, 2019

The Netflix Media Database (NMDB) is one such example. External Payload Storage External payload storage was implemented to prevent the usage of Conductor as a data persistence system and to reduce the pressure on its backend datastore. and a brief introduction to Conductor API, UI and other modules.

Lambda 189

Lambda Media Open Source Metrics 189

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. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 203

Storage Latency Efficiency Data Engineering 203