Dynatrace

MAY 31, 2023

Site reliability engineering (SRE) has recently become a critical discipline in recent years as the world has shifted in favor of web-based interactions. This shift is leading more organizations to hire site reliability engineers to guarantee the reliability and resiliency of their services. Mobile retail e-commerce spending in the U.

Best Practices 216

Best Practices DevOps Latency Metrics 216

Dynatrace

AUGUST 25, 2023

According to the Google Site Reliability Engineering (SRE) handbook, monitoring the four golden signals is crucial in delivering high-performing software solutions. These signals ( latency, traffic, errors, and saturation ) provide a solid means of proactively monitoring operative systems via SLOs and tracking business success.

Performance 168

Performance Latency Traffic Metrics 168

Dynatrace

DECEMBER 27, 2022

When organizations implement SLOs, they can improve software development processes and application performance. SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time. SLOs improve software quality.

Software 256

Software Software Benchmarking Latency 256

Dynatrace

APRIL 7, 2023

Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes. Lambda functions allow teams to run code for applications, back-end services, streaming processing, or any layer of the stack with less overhead. Return larger payload sizes.

Lambda 208

Lambda AWS Serverless Latency 208

Dynatrace

FEBRUARY 15, 2023

Streamline development and delivery processes Nowadays, digital transformation strategies are executed by almost every organization across all industries. This is where Site Reliability Engineering (SRE) practices are applied. Informing the right people with the answers they need to implement targeted countermeasures.

DevOps 211

DevOps Latency Traffic Best Practices 211

The Netflix TechBlog

MARCH 7, 2024

Without these integrations, projects would be stuck at the prototyping stage, or they would have to be maintained as outliers outside the systems maintained by our engineering teams, incurring unsustainable operational overhead. Importantly, all the use cases were engineered by practitioners themselves.

Systems 226

Systems Media Cache Open Source 226

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

MARCH 12, 2017

With the evolution of storage formats like Apache Parquet and Apache ORC and query engines like Presto and Apache Impala , the Hadoop ecosystem has the potential to become a general-purpose, unified serving layer for workloads that can tolerate latencies … The post Hudi: Uber Engineering’s Incremental Processing Framework on Apache Hadoop appeared (..)

Processing 101

Processing Latency Storage Engineering 101

Dynatrace

JANUARY 31, 2024

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. RAG augments user prompts with relevant data retrieved from outside the LLM.

Cache 199

Cache Azure Infrastructure Monitoring 199

Dynatrace

JUNE 1, 2023

Response time Response time refers to the total time it takes for a system to process a request or complete an operation. This ensures that customers can quickly navigate through product listings, add items to their cart, and complete the checkout process without experiencing noticeable delays. or above for the checkout process.

Latency 171

Latency Website Traffic Virtualization 171

Dynatrace

JUNE 1, 2023

Response time Response time refers to the total time it takes for a system to process a request or complete an operation. This ensures that customers can quickly navigate through product listings, add items to their cart, and complete the checkout process without experiencing noticeable delays. or above for the checkout process.

Traffic 173

Traffic Latency Website Virtualization 173

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. Setting Up RedisInsight Getting RedisInsight up and running is a simple process.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

MARCH 16, 2023

So how do development and operations (DevOps) teams and site reliability engineers (SREs) distinguish among good, great, and suboptimal SLOs? Monitors signals The first attribute of a good SLO is the ability to monitor the four “golden signals”: latency, traffic, error rates, and resource saturation.

DevOps 207

DevOps Latency Metrics Traffic 207

Dynatrace

MAY 13, 2022

With the Dynatrace Data Explorer, you can easily analyze metrics, such as client read/write latency by Cassandra nodes and disk space usage by keyspaces. Rather than processing simple time-series data, Dynatrace Davis® , our AI causation engine, maps data to a unified entity model using metrics, traces, logs, and real user data.

Azure 231

Azure Latency Metrics Infrastructure 231

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. Strict fault-tolerance is a principal requirement for the engine.

Big Data 154

Big Data Processing Lambda Database 154

The Morning Paper

JULY 7, 2019

Software engineering for machine learning: a case study Amershi et al., Previously on The Morning Paper we’ve looked at the spread of machine learning through Facebook and Google and some of the lessons learned together with processes and tools to address the challenges arising. A general process. ICSE’19.

Software Engineering 92

Software Engineering Engineering Software Software 92

Dynatrace

APRIL 7, 2022

Spring Boot 2 uses Micrometer as its default application metrics collector and automatically registers metrics for a wide variety of technologies, like JVM, CPU Usage, Spring MVC, and WebFlux request latencies, cache utilization, data source utilization, Rabbit MQ connection factories, and more. That’s a large amount of data to handle.

Metrics 200

Metrics Latency Java Cache 200

Dynatrace

MAY 19, 2022

A service-level objective ( SLO ) is the new contract between business, DevOps, and site reliability engineers (SREs). However, many teams struggle with knowing which ones to use and how to incorporate them into the processes. They knew a different team supported each step in the process. What are SLOs? So, what did they do?

Automotive 263

Automotive Latency Architecture Azure 263

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 The process started with manual pull of member account information that was part of the session. We needed to increase engineering productivity via distributed request tracing.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

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. Site reliability engineering (SRE) is a software operations methodology that enables organizations to create highly reliable and scalable applications. – blog.

DevOps 190

DevOps Best Practices Innovation Strategy 190

Dynatrace

SEPTEMBER 13, 2023

These workflows also utilize Davis® , the Dynatrace causal AI engine, and all your observability and security data across all platforms, in context, at scale, and in real-time. 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

JULY 18, 2023

As software development grows more complex, managing components using an automated onboarding process becomes increasingly important. Efficient environment configuration at scale One of software engineers’ most significant challenges is managing the numerous tools and technologies required for the software product lifecycle.

Best Practices 182

Best Practices Code Infrastructure Latency 182

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

Dynatrace

JULY 24, 2023

We will also explore the evolution of DevOps automation and the significance of data-driven answers in unlocking streamlined, automated DevOps and SRE processes. Business process automation Business process automation is the foundation for improving operational efficiency. Has the user purchased this product before?

DevOps 213

DevOps Traffic Efficiency Servers 213

Dynatrace

NOVEMBER 6, 2023

In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. Why is developer observability important for engineers? Dynatrace enables teams to specify SLOs, such as latency, uptime, availability, and more. “Then, I add a breakpoint.

Development 255

Development DevOps Programming Cloud 255

Dynatrace

FEBRUARY 24, 2021

DevOps is focused on optimizing software development and delivery, and SRE is focused on operations processes. DevOps is not a specific process, but rather a general collection of flexible software creation and delivery practices that looks to close the gap between software development and IT operations. Reduced latency.

DevOps 184

DevOps Software Engineering Speed Google 184

The Netflix TechBlog

MARCH 4, 2024

The rule-based classifier classifies job errors based on a set of predefined rules and provides insights for schedulers to decide whether to retry the job and for engineers to diagnose and remediate the job failure. In this way, no human intervention is required in the remediation process. Multi-objective optimizations.

Tuning 210

Tuning Efficiency Big Data Engineering 210

Dynatrace

SEPTEMBER 18, 2020

By leveraging the Dynatrace Davis AI causation engine to watch for unforeseen changes in underlying API responsiveness, Dynatrace automatically identifies slowdowns in the performance of your API manager and points you to their root cause. High latency or lack of responses. Soaring number of active connections.

Infrastructure 190

Infrastructure Latency Metrics Analytics 190

The Netflix TechBlog

NOVEMBER 17, 2022

A distinct, NN-based, video processing block can evolve independently, be used beyond video downscaling and be combined with different codecs. On a CPU, we leveraged oneDnn to further reduce latency. Millions of devices that support Netflix streaming automatically benefit from this solution. Our filter can run on both CPU and GPU.

Network 292

Network Media Innovation Efficiency 292

Dynatrace

MAY 5, 2021

As more organizations respond to the pressure to release better software faster, there is an increasing need to build quality gates into every stage of BizDevOps processes , from early development to deployment. Automating quality gates creates reliable checks and balances and speeds up the process by avoiding manual intervention.

Benchmarking 176

Benchmarking Latency Speed Software 176

Dynatrace

APRIL 7, 2022

Spring Boot 2 uses Micrometer as its default application metrics collector and automatically registers metrics for a wide variety of technologies, like JVM, CPU Usage, Spring MVC, and WebFlux request latencies, cache utilization, data source utilization, Rabbit MQ connection factories, and more. That’s a large amount of data to handle.

Metrics 130

Metrics Latency Java Cache 130

Dynatrace

APRIL 7, 2022

Spring Boot 2 uses Micrometer as its default application metrics collector and automatically registers metrics for a wide variety of technologies, like JVM, CPU Usage, Spring MVC, and WebFlux request latencies, cache utilization, data source utilization, Rabbit MQ connection factories, and more. That’s a large amount of data to handle.

Metrics 130

Metrics Latency Java Cache 130

Alex Russell

FEBRUARY 28, 2022

Input is received and processed. The chief effect of the architectural difference is to shift the distribution of latency within the loop. Improving latency for one scenario can degrade it in another. No silver bullets, only engineering. One of these is better, and it isn't the experience of the "modern" style.

Performance 104

Performance Latency Architecture Network 104

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 175

Lambda AWS Serverless Hardware 175

Scalegrid

MARCH 14, 2024

Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution. Enterprise cloud architects and engineers require significant knowledge to ensure that private and public clouds work together compatibly.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Scalegrid

MARCH 28, 2024

As Redis stores data, it supports extensive data key and string lengths, up to 512 MB, while offering complex data structures like: lists sets sorted sets hashes bitmaps These features make Redis much more than a basic caching engine; it is a versatile tool capable of supporting diverse data models. step in to simplify this task.

Cache 130

Cache Storage Scalability Architecture 130

Scalegrid

NOVEMBER 25, 2019

Released just four years ago in 2015, Scylla has averaged over 220% year-over-year growth in popularity according to DB-Engines. While Cassandra is still the most popular, ScyllaDB is gaining fast as the 7th most popular wide column store according to DB-Engines. In fact, according to ScyllaDB’s performance benchmark report, their 99.9

Big Data 187

Big Data Database Open Source Azure 187