Dynatrace

MAY 31, 2023

How site reliability engineering affects organizations’ bottom line SRE applies the disciplines of software engineering to infrastructure management, both on-premises and in the cloud. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed.

Best Practices 219

Best Practices DevOps Latency Metrics 219

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. It can achieve impressive performance, handling up to 50 million operations per second.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

MAY 19, 2022

However, many teams struggle with knowing which ones to use and how to incorporate them into the processes. Below, several Dynatrace customers shared their SLO management journey and discussed the resulting dashboards they rely on daily to manage their mission-critical business processes and applications. What are SLOs?

Automotive 267

Automotive Latency Architecture Azure 267

The Netflix TechBlog

MAY 4, 2023

Utilizing cloned real traffic, we can exercise the diversity of inputs from a wide range of devices and device application software versions in production. It provides a good read on the availability and latency ranges under different production conditions.

Traffic 339

Traffic Latency Tuning Systems 339

Dynatrace

JULY 18, 2023

Dynatrace Configuration as Code enables complete automation of the Dynatrace platform’s configuration, ensuring that software is secure and reliable. As software development grows more complex, managing components using an automated onboarding process becomes increasingly important.

Best Practices 186

Best Practices Code Infrastructure Latency 186

Dynatrace

NOVEMBER 6, 2023

In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. In this example, Grabner saw that the adservice workload was running on EKS and could see the relevant metrics, logs, services, events, error logs, and more. “Then, I add a breakpoint.

Development 258

Development DevOps Programming Cloud 258

High Scalability

JANUARY 11, 2022

There are two major processes which gets executed when a user posts a photo on Instagram. Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity.

Design 334

Design Media Storage Logistics 334

Dynatrace

FEBRUARY 15, 2023

Streamline development and delivery processes Nowadays, digital transformation strategies are executed by almost every organization across all industries. SREs use Service-Level Indicators (SLI) to see the complete picture of service availability, latency, performance, and capacity across various systems, especially revenue-critical systems.

DevOps 215

DevOps Latency Traffic Best Practices 215

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.

Strategy 130

Strategy Monitoring Latency DevOps 130

The Netflix TechBlog

MARCH 7, 2024

In addition to Spark, we want to support last-mile data processing in Python, addressing use cases such as feature transformations, batch inference, and training. We use metaflow.Table to resolve all input shards which are distributed to Metaflow tasks which are responsible for processing terabytes of data collectively.

Systems 226

Systems Media Cache Open Source 226

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. This is what answer-driven automation is all about.

DevOps 217

DevOps Traffic Efficiency Servers 217

Dynatrace

JANUARY 26, 2021

REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. The Serverless Process. AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. Building APIs (for example, Amazon API Gateway ).

Serverless 242

Serverless Efficiency Lambda Azure 242

Dynatrace

SEPTEMBER 18, 2020

In response to this trend, open source communities birthed new companies like WSO2 (of course, industry giants like Google, IBM, Software AG, and Tibco are also competing for a piece of the API management cake). High latency or lack of responses. This increase is clearly correlated with the increased response latencies.

Infrastructure 190

Infrastructure Latency Metrics Analytics 190

The Netflix TechBlog

MARCH 10, 2023

Hence we built the data pipeline that can be used to extract the existing assets metadata and process it specifically to each new use case. Data Sharding strategy in elasticsearch is updated to provide low search latency (as described in blog post) Design of new Cassandra reverse indices to support different sets of queries.

Media 237

Media Traffic Processing Design 237

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 179

Benchmarking Latency Speed Software 179

Dynatrace

FEBRUARY 2, 2022

Architecting service-level objectives (SLOs) , along with service-level agreements and service-level indicators, is a great way for teams to evaluate and measure software performance that stays within error budgets. For example, the IT team of a bank wants to ensure that for a trailing 30-day period there is 99.9%

DevOps 192

DevOps Metrics Best Practices Latency 192

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. According to recent Dynatrace research , organizations expect to make software updates 58% more frequently in the coming year.

DevOps 194

DevOps Best Practices Innovation Strategy 194

Dynatrace

DECEMBER 2, 2021

And why have SLOs and SLIs become so important as teams automate processes to consistently meet SLAs and error budgets? For example, an SLA between a web host provider and customer can guarantee 99.95% uptime for all web services of a company over a year. For example, if your SLO guarantees 99.5% But what are SLOs?

Metrics 187

Metrics Best Practices DevOps Infrastructure 187

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. Let’s take our previous screenshot as an example.

Metrics 168

Metrics Monitoring Database Network 168

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 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. But with the benefits also come concerns about observability, and how to monitor and manage ever-expanding cloud software stacks.

Lambda 178

Lambda AWS Serverless Hardware 178

The Netflix TechBlog

AUGUST 30, 2021

By Benson Ma , Alok Ahuja Introduction At Netflix, hundreds of different device types, from streaming sticks to smart TVs, are tested every day through automation to ensure that new software releases continue to deliver the quality of the Netflix experience that our customers enjoy. In this blog post, we will focus on the latter feature set.

Latency 213

Latency Traffic Transportation Hardware 213

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

SEPTEMBER 23, 2020

This is why the Dynatrace Software Intelligence Platform is recognized as a market leader not only for monitoring coverage, but also, very importantly, for providing the shortest time-to-value. Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds.

Storage 146

Storage Latency Operating System Network 146

Dynatrace

OCTOBER 4, 2021

An application programming interface (API) is a set of definitions and protocols for building and integrating application software that enables your product to communicate with other products and services. For example, some developers may be using an old version of an API that will soon be deprecated. What is API Monitoring?

Monitoring 175

Monitoring Latency Metrics Availability 175

Scalegrid

DECEMBER 14, 2023

For example, your payment history might be on one database cluster and your analytics records on another cluster. Typical applications are interacting with different database servers based on the business logic. The default time-outs can significantly influence the behavior of your application when there are network errors. x+ in Java).

Java 130

Java Network Servers Database 130

Dynatrace

DECEMBER 22, 2021

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. With limited visibility, teams have a narrow understanding of how those decisions impact other software components and vice-versa. Observability is made up of three key pillars: metrics, logs, and traces.

Artificial Intelligence 175

Artificial Intelligence Metrics Architecture DevOps 175

Dynatrace

NOVEMBER 3, 2021

Monitoring , by textbook definition, is the process of collecting, analyzing, and using information to track a program’s progress toward reaching its objectives and to guide management decisions. For example, we can actively watch a single metric for changes that indicate a problem — this is monitoring.

Monitoring 216

Monitoring Metrics DevOps Scalability 216

Dynatrace

APRIL 25, 2023

For example, to handle traffic spikes and pay only for what they use. Observability is essential to ensure the reliability, security and quality of any software system. Higher latency and cold start issues due to the initialization time of the functions. The elasticity of serverless services helps organizations scale as needed.

Serverless 203

Serverless Lambda Azure AWS 203

Scalegrid

JANUARY 12, 2024

Various forms can take shape when discussing workloads within the realm of cloud computing environments – examples include order management databases, collaboration tools, videoconferencing systems, virtual desktops, and disaster recovery mechanisms. Ultimately improving efficiency while minimizing errors.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Adrian Cockcroft

JANUARY 29, 2023

The common way to deal with this is to measure percentiles, and track the 90%, 99% response times for example. For example lets say you have a 99% within 2 seconds SLA, and your current 99%ile measured over one minute is 1 second. However it’s very difficult to decide what the right SLA is, or to tell how close you are to exceeding it.

Lambda 98

Lambda Latency Cache C++ 98

Dynatrace

AUGUST 27, 2019

In Part 1 we explored how DevOps teams can prevent a process crash from taking down services across an organization in five easy steps. The Dynatrace all-in-one software intelligence platform gives your team real-time visibility into your underlying infrastructure —be it on bare metal, VMware, OpenStack, AWS, Azure, or a hybrid solution.

Systems 176

Systems Latency DevOps Azure 176

Dynatrace

APRIL 26, 2022

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). Real-user monitoring (RUM). Endpoints can be physical (i.e., What DEM and business observability mean for the bottom line.

Monitoring 200

Monitoring Social Media IoT Metrics 200

The Morning Paper

MAY 21, 2019

Software-defined far memory in warehouse-scale computers Lagar-Cavilla et al., If extra provisioned capacity was needed to offset a slowdown for example then this could easily offset all potential TCO savings. Thus we’re fundamentally trading (de)-compression latency at access time for the ability to pack more data in memory.

Software 78

Software Software Google Hardware 78

Scalegrid

FEBRUARY 8, 2024

This process effectively duplicates essential parts of information to safeguard against potential loss. Durability Availability Fault tolerance These combined outcomes help minimize latency experienced by clients spread across different geographical regions.

Storage 130

Storage Systems Big Data Azure 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 The process started with manual pull of member account information that was part of the session. We use Mantis for processing the stream of collected traces, and we use Cassandra for storing traces.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., The paper examines the implications of microservices at the hardware, OS and networking stack, cluster management, and application framework levels, as well as the impact of tail latency. ASPLOS’19.

Open Source 61

Open Source Hardware Benchmarking Systems 61