Dynatrace

JUNE 1, 2023

But how do you get started, and what are some service level objective examples? In this post, I’ll lay out five foundational service level objective examples that every DevOps and SRE team should consider. Five example SLOs for faster, more reliable apps 1. Note : you might hear the term latency used instead of response time.

Latency 174

Latency Website Traffic Virtualization 174

Dynatrace

MAY 13, 2022

It also removes the need for developers and database administrators to manage infrastructure or update database versions. From there, you can dive deeper into infrastructure metrics (cluster, datacenter, racks, and nodes) and data metrics (keyspaces and tables). Add your visualization to your dashboards for easy access and sharing.

Azure 234

Azure Latency Metrics Infrastructure 234

CSS Wizardry

OCTOBER 16, 2023

In this post, I’m going to break these processes down into each of: ? Plotted on the same horizontal axis of 1.6s, the waterfalls speak for themselves: 201ms of cumulative latency; 109ms of cumulative download. 4,362ms of cumulative latency; 240ms of cumulative download. Read the complete test methodology. It gets worse.

Cache 291

Cache Latency Strategy Speed 291

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. There are now many more applications, tools, and infrastructure variables that impact an application’s performance and availability.

Best Practices 219

Best Practices DevOps Latency Metrics 219

Dynatrace

JUNE 7, 2023

Advanced AI applications using OpenAI services don’t just forward user input to OpenAI models; they also require client-side pre- and post-processing. Our example dashboard below visualizes OpenAI token consumption. Businesses in all sectors are introducing novel approaches to innovate with generative AI in their domains.

Monitoring 162

Monitoring Latency Metrics Azure 162

Dynatrace

JULY 18, 2023

As software development grows more complex, managing components using an automated onboarding process becomes increasingly important. While developers edit files, a simple CLI command applies configurations to Dynatrace and, for example, automates the setup of a quality gate, including workflows and Site Reliability Guardians.

Best Practices 186

Best Practices Code Infrastructure Latency 186

KeyCDN

FEBRUARY 13, 2020

Push Zones are now seamlessly supporting Image Processing ! The complete feature set of Image Processing is now also available for Push Zones. This is ideal for delivering images of any size with low latency regardless of where the user is located. No commitment: Scale up and down anytime and only pay for the images processed.

Processing 78

Processing Storage Latency Servers 78

Dynatrace

SEPTEMBER 13, 2023

For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services. This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

AWS 243

AWS Efficiency Azure Cloud 243

High Scalability

JANUARY 11, 2022

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. There are two major processes which gets executed when a user posts a photo on Instagram. System Components. Fetching User Feed. Streaming Data Model.

Design 334

Design Media Storage Logistics 334

Dynatrace

JANUARY 31, 2024

The rise of data observability in DevOps Data forms the foundation of decision-making processes in companies across the globe. For DevOps teams that inform deployment strategies, optimize processes, and drive continuous improvement, the integrity and timeliness of data are of significant importance.

DevOps 192

DevOps Analytics Airlines Metrics 192

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

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

NOVEMBER 6, 2023

They also care about infrastructure: SREs require system visibility and incident management. 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. Laifenfeld used a to-do list app as an example. “I

Development 258

Development DevOps Programming Cloud 258

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

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. In the realm of cloud-based business operations, there is an increasing dependence on complex information processing patterns.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

APRIL 25, 2023

For example, to handle traffic spikes and pay only for what they use. These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing. You can find the complete matrix of our support here.

Serverless 203

Serverless Lambda Azure AWS 203

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. How does AWS Lambda work?

Lambda 178

Lambda AWS Serverless Hardware 178

The Netflix TechBlog

NOVEMBER 17, 2022

For example, we invest in next-generation, royalty-free codecs and sophisticated video encoding optimizations. Video downscaling is the most pertinent example herein, which tailors our encoding to screen resolutions of different devices and optimizes picture quality under varying network conditions. A visual example is shown below.

Network 292

Network Media Innovation Efficiency 292

Dynatrace

MAY 27, 2021

This new extension allows customers to deploy native Amazon ECS tasks in any target environment including traditional AWS managed infrastructure and now customer-managed infrastructure. IoT – Data processing on edge locations. Create ECS Task based on the example below. End-to-end application monitoring with Dynatrace.

AWS 131

AWS IoT Virtualization Infrastructure 131

Dynatrace

JUNE 25, 2020

For example, in a three-node cluster, one node can go down; in a cluster with five or more nodes, two nodes can go down. The network latency between cluster nodes should be around 10 ms or less. Regular Dynatrace Managed deployments can work seamlessly when a maximum of two nodes are down at a time and the network has low latency.

Availability 244

Availability Hardware Latency Traffic 244

The Netflix TechBlog

SEPTEMBER 8, 2020

As an example, to render the screen shown here, the app sends a query that looks like this: paths: ["videos", 80154610, "detail"] A path starts from a root object , and is followed by a sequence of keys that we want to retrieve the data for. For the migration, testing was a first-class citizen.

Latency 233

Latency Cache Java Traffic 233

Dynatrace

JANUARY 13, 2022

Real user monitoring (RUM) is a performance monitoring process that collects detailed data about a user’s interaction with an application. For example, data collected on load actions can include navigation start, request start, and speed index metrics. Examples of real user monitoring. What is real user monitoring?

Monitoring 176

Monitoring Latency Mobile Best Practices 176

Dynatrace

MAY 17, 2023

Think about items such as general system metrics (for example, CPU utilization, free memory, number of services), the connectivity status, details of our web server, or even more granular in-application tasks like database queries. Let’s take our previous screenshot as an example.

Metrics 168

Metrics Monitoring Database Network 168

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

AUGUST 30, 2021

The Partner Infrastructure team at Netflix provides solutions to support these two significant efforts by enabling device management at scale. Together, they form the Device Management Platform, which is the infrastructural foundation for Netflix Test Studio (NTS). In this blog post, we will focus on the latter feature set.

Latency 213

Latency Traffic Transportation Hardware 213

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

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

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. Step 1 – Let Dynatrace analyze your infrastructure health in real-time. Step 5 – xMatters triggers a runbook in Ansible to fix the disk latency. xMatters creates a dedicated Slack channel.

Systems 176

Systems Latency DevOps Azure 176

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. Generally speaking, cloud migration involves moving from on-premises infrastructure to cloud-based services. What is cloud migration?

Cloud 163

Cloud Traffic Best Practices Strategy 163

Dynatrace

OCTOBER 4, 2021

API monitoring is the process of collecting and analyzing data about the performance of an API in order to identify problems that impact users. For example, some developers may be using an old version of an API that will soon be deprecated. What is API Monitoring? API testing complements monitoring.

Monitoring 175

Monitoring Latency Metrics Availability 175

Dynatrace

APRIL 26, 2022

Gartner estimates that by 2025, 70% of digital business initiatives will require infrastructure and operations (I&O) leaders to include digital experience metrics in their business reporting. With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings.

Monitoring 200

Monitoring Social Media IoT Metrics 200

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

DECEMBER 22, 2021

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. For example, teams can use centralized observability data to improve incident response times, increase automation, and inform critical business decisions. The case for an integrated observability platform.

Artificial Intelligence 175

Artificial Intelligence Metrics Architecture DevOps 175

The Morning Paper

OCTOBER 4, 2020

We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity. Throughput and latency. energy consumption).

Energy 130

Energy Latency Performance Network 130

Percona

NOVEMBER 9, 2023

It simplifies infrastructure management and is the driving force behind many cloud-native applications and services. Because of this flexibility, businesses may choose the infrastructure that best meets their needs. This portability ensures that your applications remain consistent and operational, regardless of where they are deployed.

Efficiency 105

Efficiency Cloud Healthcare Open Source 105

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 194

DevOps Best Practices Innovation Strategy 194

The Netflix TechBlog

JANUARY 10, 2024

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

Processing 229

Processing Media Latency Innovation 229