The Morning Paper

NOVEMBER 5, 2019

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. What is a distributed storage backend? SOSP’19.

Storage 64

Storage Systems Hardware Efficiency 64

Dynatrace

SEPTEMBER 5, 2023

Technology and operations teams work to ensure that applications and digital systems work seamlessly and securely. Predictive AI uses statistical algorithms and other advanced machine learning techniques to anticipate what might happen next in a system. This data-driven approach fosters continuous refinement of processes and systems.

Artificial Intelligence 257

Artificial Intelligence DevOps Analytics Engineering 257

The Netflix TechBlog

OCTOBER 19, 2020

which is difficult when troubleshooting distributed systems. Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices. Stream Processing: to sample or not to sample trace data?

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 195

Artificial Intelligence DevOps Hardware Virtualization 195

Dynatrace

JANUARY 22, 2024

That’s why causal AI use cases abound for organizations looking to build more reliable and transparent AI systems. Understanding complex systems Causal AI holds great importance for achieving full-stack observability in complex systems. More generally, causal AI can contribute to explainable and fair AI systems.

Artificial Intelligence 201

Artificial Intelligence Healthcare Retail Government 201

Dynatrace

FEBRUARY 10, 2023

Further, automation has become a core strategy as organizations migrate to and operate in the cloud. More than 70% of respondents to a recent McKinsey survey now consider IT automation to be a strategic component of their digital transformation strategies. What is a data lakehouse?

Efficiency 269

Efficiency Performance Analytics DevOps 269

Dynatrace

JUNE 9, 2023

Data volumes are growing all the time, making it harder to orchestrate, process, and analyze to turn information into insight. That’s because of the heterogeneity of the data their environments generate and the limitations of the systems they rely on to analyze this information. All of these factors challenge DevOps maturity.

DevOps 177

DevOps Analytics Storage Metrics 177

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

AUGUST 26, 2020

Optimal metric storage management strategy. Dynatrace Managed metric storage management is reliable and delivers high performance. Unlike our competition, Dynatrace Managed processes all the data sent by OneAgent without sampling. Increased processing power with the update to JRE 11. Impact on disk space.

Performance 149

Performance Hardware Java Storage 149

Dynatrace

FEBRUARY 2, 2023

Technology and business leaders express increasing interest in integrating business data into their IT observability strategies, citing the value of effective collaboration between business and IT. Observability fault lines The monitoring of complex and dynamic IT systems includes real-time analysis of baselines, trends, and anomalies.

Analytics 194

Analytics Metrics DevOps Storage 194

Scalegrid

JANUARY 8, 2024

Key Takeaways AI integration in cloud computing increases operational efficiency by automating processes, optimizing resource allocation, and improving scalability, leading to cost savings and allowing IT teams to concentrate on strategic initiatives. Discover how AI is reshaping the cloud and what this means for the future of technology.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

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. This covers the infrastructure, processes, and the application stack, including tracing, profiling, and logs.

Metrics 172

Metrics Engineering Energy Tuning 172

Scalegrid

MARCH 14, 2024

Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

MAY 26, 2021

To improve their alerting system, the team decided to move to SLO/SLI-based alerting, which require deeper knowledge of the application but are more helpful than generalized metric alerts. Trace-based sampling can help you save storage costs. This can help you save money in storage costs in the long run.

AWS 205

AWS Strategy Storage Metrics 205

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

Dynatrace

JANUARY 23, 2024

Enter AI observability, which uses AI to understand the performance and cost-effectiveness details of various systems in an IT environment. Teams face siloed processes and toolsets, vast volumes of data, and redundant manual tasks. As organizations adopt more AI technologies, the associated costs are skyrocketing.

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

Dynatrace

OCTOBER 7, 2020

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). Choose your monitoring strategy (i.e., Here, too, you can select a threshold ( Monitoring strategy ) and provide a name and description for the alert.

Metrics 243

Metrics Analytics Storage Monitoring 243

Scalegrid

JANUARY 8, 2024

Confused about multi-cloud vs hybrid cloud and which is the right strategy for your organization? Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

MAY 26, 2021

To improve their alerting system, the team decided to move to SLO/SLI-based alerting, which require deeper knowledge of the application but are more helpful than generalized metric alerts. Trace-based sampling can help you save storage costs. This can help you save money in storage costs in the long run.

AWS 147

AWS Strategy Storage Metrics 147

Percona

DECEMBER 27, 2023

According to a 2023 Forrester survey commissioned by Hashicorp , 61% of respondents had implemented, were expanding, or were upgrading their multi-cloud strategy. Nearly every vendor at Kubecon and every person we spoke to had some form of a multi-cloud requirement or strategy. We expect that number to rise higher in 2024.

Cloud 77

Cloud Open Source Strategy Best Practices 77

Scalegrid

JANUARY 19, 2024

When a MongoDB rollback happens, it can cause trouble to your data integrity and system consistency. Key Takeaways Rollbacks in MongoDB are triggered by disruptions in the replication process due to primary node crashes, network partitions, or other failures, which can lead to substantial data loss and inconsistencies.

Database 130

Database Network Servers Monitoring 130

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. This information is gathered from remote, often inaccessible points within your ecosystem and processed by some sort of tool or equipment.

Open Source 212

Open Source Metrics Cloud Transportation 212

Dynatrace

DECEMBER 16, 2022

But legacy, custom software can often prevent systems from working together, ultimately hindering growth. An open approach enables technologies to interoperate, whereas proprietary, legacy systems often create vendor lock-in and prevent interoperability and data integration. The platform approach vs. the best-of-breed approach.

Innovation 190

Innovation Software Software Cloud 190

Scalegrid

DECEMBER 21, 2023

With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times. This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency.

Strategy 130

Strategy Monitoring Latency DevOps 130

Particular Software

JUNE 20, 2022

The key to a successful Cosmos DB system is its data partitioning strategy. Like the rows of shrubs in a hedge maze, the logical partitions that divide data must be carefully planned, because that affects the scalability of the system and defines the boundaries for logical transactions. In version 1.1 In version 1.1

Azure 52

Azure Storage Strategy Tuning 52

Dynatrace

DECEMBER 20, 2021

Replays provide on-demand data about where conversion processes aren’t working. By analyzing sessions of new employees interacting with key tools, teams can provide detailed instructions that will help to streamline the onboarding process and get staff up to speed faster. Develop a broad recording strategy. Transparent?

Mobile 241

Mobile Website Analytics Cache 241

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. All these contribute significantly towards ensuring smooth functioning.

Metrics 130

Metrics Monitoring Latency Cache 130

Percona

SEPTEMBER 1, 2023

A finely tuned database processes queries more efficiently, leading to swifter results. Enhanced User Experience Whether you operate an e-commerce platform, a content management system, or any other application reliant on MySQL, users will notice and appreciate the improved speed and responsiveness.

Tuning 52

Tuning Database Performance Hardware 52

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

Percona

AUGUST 18, 2023

This blog will explore the hurdles encountered during the upgrade process and the innovative solution that saved the day. uses the Aria engine for system tables. 2023-05-12T08:10:39.374389Z 1 [ERROR] [MY-011013] [Server] Failed to initialize DD Storage Engine. The incompatibility roadblock MariaDB 10.4

Open Source 65

Open Source Database Storage Engineering 65

Scalegrid

FEBRUARY 1, 2024

MySQL is a popular open-source relational database management system for online applications and data warehousing. However, data loss is always possible due to hardware malfunction, software defects, or other unforeseen circumstances, just like with any computer system.

Best Practices 130

Best Practices Storage Strategy Database 130

Scalegrid

MARCH 8, 2024

Executing PITR requires restoring from the full backup and then applying binary log events in sequence up to the desired point in time, with advanced techniques and third-party tools available to optimize large dataset handling and automate the recovery process. Each caters to specific needs.

Database 162

Database Strategy Servers Best Practices 162

The Morning Paper

FEBRUARY 18, 2020

Enterprises in every industry are developing strategies for digitally transforming their businesses at every level. 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. And there’s going to be a lot of them!

Government 95

Government Software Engineering Storage Database 95

Particular Software

OCTOBER 6, 2020

Invariably, the sagas that were at fault were examples of the scatter-gather pattern, and the ultimate culprit was contention at the storage level due to the optimistic concurrency strategy that was being used. You need a business process to send 1,000 emails, and at the end, report back how many were sent successfully.

Strategy 98

Strategy Database Infrastructure Design 98

The Morning Paper

NOVEMBER 26, 2019

The merge strategy should work differently for the mergeable and non-mergeable components, so we need a way to tell the two cases apart. The synthesis process is quite straightforward as the expressive merge specification already describes what the result of a relational merge should be.

C++ 98

C++ Storage Benchmarking Efficiency 98

Percona

MAY 1, 2023

It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. Hardware optimization : You need to ensure that the CPU, memory, and storage components meet the performance requirements of the database workload. What is PostgreSQL performance tuning?

Tuning 52

Tuning Efficiency Database Performance 52