Scalegrid

JANUARY 25, 2024

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. These essential data points heavily influence both stability and efficiency within the system.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

APRIL 8, 2024

Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. The IT infrastructure, services, and applications that enable processes for risk management must perform optimally. If system failures occur, teams must resolve them quickly and resolutely.

Analytics 194

Analytics Infrastructure Efficiency Technology 194

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

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

APRIL 7, 2022

Every company has its own strategy as to which technologies to use. Micrometer uses a registry to export metrics to monitoring systems. Every data point is connected to the host, process, workload, and even the pod from which the data was emitted. Dynatrace news. That’s a large amount of data to handle. Here’s how it works.

Metrics 200

Metrics Latency Java Cache 200

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

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. Its goal is to assign running processes to time slices of the CPU in a “fair” way. So why mess with it?

Cache 251

Cache Latency Airlines Logistics 251

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

APRIL 5, 2021

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Real-time file processing, for quickly indexing files, processing logs, and validating content.

Lambda 176

Lambda AWS Serverless Hardware 176

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

APRIL 7, 2022

Every company has its own strategy as to which technologies to use. Micrometer uses a registry to export metrics to monitoring systems. Every data point is connected to the host, process, workload, and even the pod from which the data was emitted. Dynatrace news. That’s a large amount of data to handle. Here’s how it works.

Metrics 130

Metrics Latency Java Cache 130

Dynatrace

APRIL 7, 2022

Every company has its own strategy as to which technologies to use. Micrometer uses a registry to export metrics to monitoring systems. Every data point is connected to the host, process, workload, and even the pod from which the data was emitted. Dynatrace news. That’s a large amount of data to handle. Here’s how it works.

Metrics 130

Metrics Latency Java Cache 130

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

SEPTEMBER 30, 2021

Cloud migration is the process of transferring some or all your data, software, and operations to a cloud-based computing environment that offers unlimited scale and high availability. A key step in digital transformation is migrating from traditional on-prem IT processes to adopting cloud services. What is cloud migration?

Cloud 161

Cloud Traffic Best Practices Strategy 161

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

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. 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.

Strategy 130

Strategy Monitoring Latency DevOps 130

Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Our new eBook, “ From Planning to Performance: MongoDB Upgrade Best Practices ,” guides you through the entire process to ensure your database’s long-term success.

Best Practices 84

Best Practices Hardware Tuning Scalability 84

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. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 130

The Netflix TechBlog

SEPTEMBER 8, 2020

Over the course of this post, we will talk about our approach to this migration, the strategies that we employed, and the tools we built to support this. Being able to canary a new route let us verify latency and error rates were within acceptable limits. Background The Netflix Android app uses the falcor data model and query protocol.

Latency 233

Latency Cache Java Traffic 233

Tech News Gather

FEBRUARY 20, 2023

With some unique advantages like low latency and faster speed, 5G aims to give birth to a new era of mobile application development with some innovations. With the increase in speed and less latency, there are a lot of possibilities that can be explored in the field of the internet of things (IOT) and smart devices.

Mobile 40

Mobile Development Artificial Intelligence IoT 40

VoltDB

JUNE 9, 2017

Telco networks and the systems that support those networks are some of the most advanced technology solutions in existence. Analytics and insights have always taken a back seat to the first two priorities – accurate data processing and billing. Information needs to be handled in real-time, not via batch processing.

Analytics 40

Analytics Strategy Network Games 40

VoltDB

JUNE 9, 2017

Telco networks and the systems that support those networks are some of the most advanced technology solutions in existence. Analytics and insights have always taken a back seat to the first two priorities – accurate data processing and billing. Information needs to be handled in real-time, not via batch processing.

Analytics 40

Analytics Strategy Network Games 40

IO River

NOVEMBER 2, 2023

These are unchanging entities, served straight off the server, pre-generated, and devoid of server-side processing. This means that subsequent requests for the same content can be served directly from the cache, eliminating the need for additional server-side processing. This is where Content Delivery Networks (CDNs) come into play.

Cache 52

Cache Social Media Website Performance Website 52

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. A distributed file system provides a unified view over aggregated storage from multiple physical machines.

Storage 64

Storage Systems Hardware Efficiency 64

The Morning Paper

NOVEMBER 24, 2019

This paper was published at OOPSLA, but perhaps it’s amongst the distributed systems community that I expect there to be the greatest interest. The paper sets the discussion in the context of geo-replicated distributed systems, but of course the same mechanisms could be equally useful in the context of local-first applications.

Strategy 104

Strategy Latency Systems Processing 104

Dotcom-Montior

DECEMBER 8, 2021

Systems, web applications, servers, devices, etc., SREs and DevOps teams can use these incidents to build back better and improve their systems and services. Now that we have talked about what an incident is, incident management is the process by which teams resolve these events and bring systems and services back to normal operation.

Social Media 90

Social Media Monitoring Latency DevOps 90

IO River

NOVEMBER 2, 2023

These are unchanging entities, served straight off the server, pre-generated, and devoid of server-side processing. This means that subsequent requests for the same content can be served directly from the cache, eliminating the need for additional server-side processing. This is where Content Delivery Networks (CDNs) come into play.

Cache 52

Cache Social Media Website Performance Website 52

Percona

SEPTEMBER 1, 2023

A finely tuned database processes queries more efficiently, leading to swifter results. This reduction in latency ensures that applications and websites provide a more rapid and responsive user experience. An unoptimized indexing strategy can impede data insertion and retrieval operations.

Tuning 52

Tuning Database Performance Hardware 52

The Netflix TechBlog

JUNE 13, 2023

This is where large-scale system migrations come into play. Replay traffic testing gives us the initial foundation of validation, but as our migration process unfolds, we are met with the need for a carefully controlled migration process.

Traffic 279

Traffic Metrics Systems Strategy 279

Abhishek Tiwari

JULY 12, 2018

These data pipelines can process data at petabytes scale and to some extent, their success can be attributed to an army of engineers devoted to build and maintain internal data pipelines. Depending on frameworks, data processing units (a.k.a In a nutshell, a data pipeline is a distributed system.

Latency 63

Latency Analytics Scalability Engineering 63

The Morning Paper

SEPTEMBER 8, 2019

I’ve been excited about the potential for approximate query processing in analytic clusters for some time, and this paper describes its use at scale in production. These clusters are in high demand and approximate query processing both saves their users time and lightens the overall load on the cluster. What are all these jobs doing??

Big Data 57

Big Data Analytics Latency Azure 57

Dynatrace

FEBRUARY 15, 2023

Streamline development and delivery processes Nowadays, digital transformation strategies are executed by almost every organization across all industries. Siloed teams and multiple tools make it difficult to align on a single version of the truth for overall system health.

DevOps 212

DevOps Latency Traffic Best Practices 212

Dynatrace

JANUARY 18, 2023

However, getting reliable answers from observability data so teams can automate more processes to ensure speed, quality, and reliability can be challenging. SRE applies software engineering principles to operations and infrastructure processes. CI/CD and SLOs: Processes that help automate the SDLC with DevOps observability.

DevOps 191

DevOps Best Practices Innovation Strategy 191

Scalegrid

MARCH 28, 2024

Redis can be configured to optimally utilize both RDB and AOF persistence methods optimally, achieving a balance between speed and data safety while minimizing the impact on response times due to its child process handling for disk writes. Scalable reads across multiple instances are possible. step in to simplify this task.

Cache 130

Cache Storage Scalability Architecture 130

All Things Distributed

AUGUST 16, 2011

Werner Vogels weblog on building scalable and robust distributed systems. There are different considerations when deciding where to allocate resources with latency and cost being the two obvious ones, but compliance sometimes plays an important role as well. The US Federal Cloud Computing Strategy lays out a â??Cloud With AWSâ??s

AWS 111

AWS Government Big Data Cloud 111

The Netflix TechBlog

NOVEMBER 3, 2022

As the number of Titus users increased over the years, the load and pressure on the system increased substantially. We introduce a caching mechanism in the API gateway layer, allowing us to offload processing from singleton leader elected controllers without giving up strict data consistency and guarantees clients observe.

Cache 224

Cache Latency Traffic Systems 224

Dynatrace

JANUARY 31, 2024

Data observability involves monitoring and managing the internal state of data systems to gain insight into the data pipeline, understand how data evolves, and identify any issues that could compromise data integrity or reliability. Data is the foundation upon which strategies are built, directions are chosen, and innovations are pursued.

DevOps 190

DevOps Analytics Airlines Metrics 190