Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

AWS 240

AWS Efficiency Azure Cloud 240

Dynatrace

SEPTEMBER 30, 2021

It also ensures your team shares common fluency in cloud best practices, which improves collaboration and helps your company achieve a higher standard of performance. This certification is perfect for anyone who needs to learn cloud fundamentals and best practices. Cloud practitioner. Data analytics. Machine learning.

AWS 201

AWS Best Practices Analytics Cloud 201

Percona

DECEMBER 27, 2023

At Percona, we observe a growing trend among companies utilizing Kubernetes as a means to offer services to their teams, fostering expedited software delivery and driving business growth. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic.

Cloud 80

Cloud Open Source Strategy Best Practices 80

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. Another key theme at Dynatrace Perform 2024 is organizations’ growing adoption of platform engineering , which helps accelerate the delivery of software applications. Enter FinOps, a public cloud management philosophy that aims to control costs.

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. ITOps refers to the process of acquiring, designing, deploying, configuring, and maintaining equipment and services that support an organization’s desired business outcomes.

Artificial Intelligence 195

Artificial Intelligence DevOps Hardware Virtualization 195

Tasktop

JANUARY 9, 2020

Turning software delivery data into IT and business intelligence is nothing new; it’s the 21st-century gold rush. Yet getting to this level of maturity is a herculean undertaking, especially for IT organizations looking to obtain accurate cross-tool reporting that provides them with business-critical insights into their software delivery.

Software 59

Software Software Metrics Database 59

Percona

JUNE 29, 2023

PSMDB), the best practice to create an index was doing it in a rolling manner. Before Percona Server for MongoDB 4.4 Many folks used to create directly on Primary, resulting in the first index being created successfully on Primary and then replicated to Secondary nodes. Starting from PSMDB 4.4,

Servers 82

Servers C++ Storage Best Practices 82

Abhishek Tiwari

JULY 22, 2023

In the fast-paced world of software development, the ability to deploy applications quickly and efficiently is crucial for organizations. In traditional software development practices, compliance checks often occur late in the development lifecycle, closer to deployment.

AWS 52

AWS Best Practices Infrastructure Traffic 52

Percona

MAY 2, 2023

That’s why it’s essential to implement the best practices and strategies for MongoDB database backups. Also, we will take a look at our open-source backup utility custom-built to help avoid costs and proprietary software – Percona Backup for MongoDB or PBM. Best practice tip : Use PBM to time huge backup sets.

Best Practices 52

Best Practices Database Storage Servers 52

Dynatrace

JULY 6, 2022

Without SRE best practices, the observability landscape is too complex for any single organization to manage. Like any evolving discipline, it is characterized by a lack of commonly accepted practices and tools. In a talent-constrained market, the best strategy could be to develop expertise from within the organization.

Best Practices 180

Best Practices Open Source Tuning Infrastructure 180

Percona

NOVEMBER 2, 2023

However, Kubernetes does introduce additional layers, particularly in storage and networking. For storage, Kubernetes provides various tools that leverage local storage volumes, such as NVMe, to achieve performance that is comparable to bare-metal deployments.

Open Source 87

Open Source Hardware Storage Database 87

Percona

SEPTEMBER 1, 2023

MySQL relies heavily on the availability of hardware resources to perform at its best. Inadequate CPU, memory, or storage can lead to bottlenecks and performance degradation, so remedying these issues involves upgrading hardware or optimizing resource utilization through query and server configuration adjustments.

Tuning 52

Tuning Database Performance Hardware 52

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.

Virtualization 159

Virtualization Infrastructure Monitoring Cloud 159

Percona

MARCH 17, 2023

PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. The VictoriaMetrics team has also published some best practices , which can also be referred to while planning for resources for setting up PMM2. 25 Bytes, or you should plan storage roughly between 500 GB – one TB for a default 30 day retention period.

Monitoring 100

Monitoring Scalability Cache Database 100

Percona

JANUARY 20, 2023

When using cloud storage like EBS or similar, it is normally easy(er) to extend volumes, which gives us the luxury to plan the space to allocate for data with a good grade of relaxation. To enable volume expansion, you need to delete the storage class and enable it again. The second issue was the problem with the storage class.

AWS 93

AWS Storage Monitoring Cloud 93

Percona

NOVEMBER 1, 2023

The output is larger than for physical backup, particularly when saved in text format, but it can be compressed on the fly depending on the software you are using. Encryption Backups have sensitive data, so it’s highly recommended to encrypt, especially for offsite storage. How do you know the backup succeeded?

Best Practices 79

Best Practices Storage Strategy Database 79

Percona

JUNE 22, 2023

Another related variable, innodb_buffer_pool_instances, determines the number of buffer pool instances for the InnoDB storage engine, which can improve the performance of multi-core systems by reducing contention on the buffer pool latch. Disk space usage Monitor the disk space usage of MySQL data files, log files, and temporary files.

Performance 105

Performance Monitoring Traffic Database 105

Scalegrid

JANUARY 25, 2024

offers the Software Watchdog specifically designed for this purpose. Best Practices for Redis Performance Tuning Optimizing memory allocation is essential for improving Redis’s performance. One way to keep track of request latency is by enabling the latency monitor with a set threshold.

Metrics 130

Metrics Monitoring Latency Cache 130

The Morning Paper

FEBRUARY 18, 2020

The key insight this led to is that ML models are software , derived from data. ML learning systems combine the characteristics of software, e.g. the need for CI/CD pipelines, and of data, e.g. the need to track lineage. Many of the software engineering discipline and controls need to be brought over into an ML context.

Government 95

Government Software Engineering Storage Database 95

Percona

APRIL 17, 2023

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. We’ll also go over some best practices for MongoDB security as well as MongoDB data modeling. Lower values increase the durability of the journal at the expense of disk performance.

Best Practices 52

Best Practices Design Tuning Database 52

Dynatrace

JANUARY 11, 2023

With agent monitoring, third-party software collects data and reports from the component that’s attached to the agent. Cloud storage monitoring. Teams can keep track of storage resources and processes that are provisioned to virtual machines, services, databases, and applications. Best practices to consider.

Cloud 217

Cloud Monitoring Best Practices Infrastructure 217

Dynatrace

AUGUST 11, 2022

Cloud providers then manage physical hardware, virtual machines, and web server software management. Monolithic architectures were commonplace with legacy, on-premises software solutions. Infrastructure as a service (IaaS) handles compute, storage, and network resources. Functional FaaS best practices.

Development 243

Development Serverless Best Practices Lambda 243

All Things Distributed

AUGUST 16, 2012

The best practices that we are collecting in the AWS Economics Center are there to help our customers get a total view on their IT cost such that they can accurately compare on-premise and cloud. ; the fact that they are now able to pursue business opportunities much faster at much lower costs points than before.

AWS 118

AWS Hardware Traffic Best Practices 118

Dynatrace

NOVEMBER 11, 2020

Easier rollout thanks to log storage best practices. Easier rollout thanks to log storage best practices. In OneAgent versions 1.202 and earlier, the logs of OneAgent modules were stored in the /opt/dynatrace/oneagent/log directory, which didn’t really adhere to best practices and standards.

Best Practices 189

Best Practices Storage Java Benchmarking 189

Dynatrace

JUNE 1, 2023

In today’s fast-paced digital landscape, ensuring high-quality software is crucial for organizations to thrive. Service level objectives (SLOs) provide a powerful framework for measuring and maintaining software performance, reliability, and user satisfaction. But the pressure on CIOs to innovate faster comes at a cost.

Latency 171

Latency Website Traffic Virtualization 171

Scalegrid

JANUARY 12, 2024

Storage is a critical aspect to consider when working with cloud workloads. High availability storage options within the context of cloud computing involve highly adaptable storage solutions specifically designed for storing vast amounts of data while providing easy access to it.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

JUNE 1, 2023

In today’s fast-paced digital landscape, ensuring high-quality software is crucial for organizations to thrive. Service level objectives (SLOs) provide a powerful framework for measuring and maintaining software performance, reliability, and user satisfaction. But the pressure on CIOs to innovate faster comes at a cost.

Traffic 173

Traffic Latency Website Virtualization 173

Brendan Gregg

APRIL 30, 2018

LISA originally stood for "Large Installation System Administration," where "large" meant systems with more than a gigabyte of storage, or with more than 100 users. Some topics are still present at LISA, such as network management and uptime (reliability), but many others have been updated over the years.

DevOps 43

DevOps Network Best Practices Programming 43

Percona

SEPTEMBER 1, 2023

3) Storage engine limitations There are a few storage engine limitations that can be a bottleneck in your use case. To work around this performance limitation, it is better to start a cluster and divide the writes among Mongodb instances.

Best Practices 73

Best Practices Traffic Database Servers 73

Dynatrace

NOVEMBER 20, 2023

The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI – blog Paired with causal AI, organizations can increase the impact and safer use of ChatGPT and other generative AI technologies. So, what is artificial intelligence?

AWS 203

AWS Artificial Intelligence Analytics Cloud 203

Brendan Gregg

APRIL 29, 2018

LISA originally stood for "Large Installation System Administration," where "large" meant systems with more than a gigabyte of storage, or with more than 100 users. Some topics are still present at LISA, such as network management and uptime (reliability), but many others have been updated over the years.

DevOps 40

DevOps Network Best Practices Programming 40

Tasktop

DECEMBER 18, 2019

But it is time for us to move beyond manufacturing analogies, and to craft a new narrative for this next phase of the Age of Software. What makes The Unicorn Project so unique is the way that it unapologetically dives into the depths of software delivery. This is another place where the book will be a great tool for your journey.

Software Architecture 45

Software Architecture Architecture Metrics Software 45

Percona

AUGUST 30, 2023

Software failure: Software applications can become vulnerable, or they can crash altogether. Human mistakes: Incorrect configuration is an all-too-common cause of hardware and software failure. An incremental backup, which is faster and requires less storage than a full backup, captures changes made since the previous backup.

Database 89

Database Hardware Open Source Strategy 89

Percona

OCTOBER 18, 2023

Under the hood, we store logical oplogs along with physical backups into the object storage. The trick is to use the oplogOnly flag, which would instruct Percona Backup for MongoDB to upload oplogs to the object storage without waiting for the logical backup. As a prerequisite, you would need to have physical backups enabled.

Best Practices 93

Best Practices Storage AWS Big Data 93

Sutter's Mill

MARCH 11, 2024

To talk about C++’s current safety problems and solutions well, I need to include the context of the broad landscape of security and safety threats facing all software. Software security ” (or “cybersecurity” or similar) means making software able to protect its assets from a malicious attacker. Let’s dig in.

C++ 139

C++ Programming Code Java 139

Percona

DECEMBER 11, 2023

A Dedicated Log Volume (DLV) is a specialized storage volume designed to house database transaction logs separately from the volume containing the database tables. DLVs are particularly advantageous for databases with large allocated storage, high I/O per second (IOPS) requirements, or latency-sensitive workloads.

AWS 98

AWS Benchmarking Performance Traffic 98

Abhishek Tiwari

JULY 12, 2018

Data Pipeline A data pipeline is a software that ingests data from multiple sources, transforms it and finally makes it available to internal or external products. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable.

Latency 63

Latency Analytics Scalability Engineering 63