Dynatrace

NOVEMBER 6, 2023

The move to SaaS and data residency in local markets Dynatrace operates its AI-powered unified platform for observability, security, and business analytics as a SaaS solution across the globe. Dynatrace is already supported in 17 local regions on three hyperscalers (AWS, Azure, and GCP). Obligations to end users while moving to SaaS.

AWS 231

AWS Azure Tuning Analytics 231

Dynatrace

JULY 6, 2022

Ultimately, IT automation can deliver consistency, efficiency, and better business outcomes for modern enterprises. Expect to spend time fine-tuning automation scripts as you find the right balance between automated and manual processing. IT automation tools can achieve enterprise-wide efficiency. Big data automation tools.

Artificial Intelligence 182

Artificial Intelligence Tuning Strategy Big Data 182

The Netflix TechBlog

JUNE 7, 2021

Cloud Network Insight is a suite of solutions that provides both operational and analytical insight into the cloud network infrastructure to address the identified problems. After several iterations of the architecture and some tuning, the solution has proven to be able to scale.

Network 325

Network Transportation AWS Cloud 325

Scalegrid

DECEMBER 14, 2023

For example, your payment history might be on one database cluster and your analytics records on another cluster. If your analytics server is down, then each operation will wait for a default of 30 seconds before failing (which may or may not be what you want). Careful consideration must be given before making changes. </p>

Java 130

Java Network Servers Database 130

Dynatrace

FEBRUARY 8, 2021

Putting logs into context with metrics, traces, and the broader application topology enables and improves how companies manage their cloud architectures, platforms and infrastructure, optimizing applications and remediate incidents in a highly efficient way. Leverage log analytics for additional context. What’s next.

Cloud 256

Cloud Azure Analytics AWS 256

Dynatrace

NOVEMBER 23, 2020

T o get performance insights into applications and efficiently troubleshoot and optimize them, you need precise and actionable analytics across the entire software life cycle. If you’re interested in learning more about OpenTelemetry or joining the community, a good place to start is the OpenTelemetry GitHub repository.

Metrics 150

Metrics Open Source Tuning Analytics 150

Dynatrace

OCTOBER 23, 2023

Communicating security insights efficiently across teams in your organization isn’t easy Security management is a complex and challenging task; effectively communicating security insights is even more so. Sample dashboard Next, you want to prepare an efficient plan for remediation.

Efficiency 204

Efficiency Best Practices Tuning Internet 204

Dynatrace

APRIL 25, 2023

Observability challenges in serverless applications can be therefore categorized into: Data collection : how to collect metrics, logs and traces from serverless functions efficiently, reliably, and consistently? This makes it very easy to explore your functions’ behavior and identify impact and root cause of an anomaly.

Serverless 200

Serverless Lambda Azure AWS 200

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. This evolution in automation, referred to as answer-driven automation, empowers teams to address complex issues in real time, optimize workflows, and enhance overall operational efficiency.

DevOps 213

DevOps Traffic Efficiency Servers 213

Dynatrace

MAY 17, 2022

This gives us unified analytics views of node resources together with pod-level metrics such as container CPU throttling by node, which makes problem correlation much easier to analyze. This solution offers both maximum efficiency and adherence for the toughest privacy or compliance demands. A look to the future.

Availability 309

Availability Scalability Cloud Metrics 309

Dynatrace

APRIL 26, 2022

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs).

Monitoring 196

Monitoring Social Media IoT Metrics 196

Percona

NOVEMBER 2, 2023

Inside, you will learn: Why you should upgrade MongoDB Staying with outdated MongoDB versions can expose you to critical security vulnerabilities, suboptimal performance, and missed opportunities for efficiency. Introduction of clustered collections for optimized analytical queries. In MongoDB 6.x:

Best Practices 87

Best Practices Hardware Tuning Scalability 87

Dynatrace

NOVEMBER 24, 2020

Dynatrace provides advanced observability across on-premises systems and cloud providers in a single platform, providing application performance monitoring, infrastructure monitoring, Artificial Intelligence-driven operations (AIOps), code-level execution, digital experience monitoring (DEM), and digital business analytics. Stay tuned.

AWS 142

AWS Artificial Intelligence Best Practices Lambda 142

Dynatrace

NOVEMBER 10, 2022

Organizations can combine cloud-native services to build applications with unique value enabled by the cloud, such as advanced analytics, mobile apps, and chatbots. Infrastructure is provisioned and modified in code, eliminating much of the need for manual installation and tuning. What are cloud-native services?

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Scalegrid

JANUARY 11, 2024

Continuous cloud monitoring enables real-time detection and response to incidents, with best practices highlighting the importance of assessing cloud service providers, adopting layered security, and leveraging automation for efficient scanning and monitoring.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

AUGUST 28, 2020

Azure Data Lake Analytics. Azure Data Factory is a hybrid data integration service that enables you to quickly and efficiently create automated data pipelines—without writing any code. We’ll release additional monitoring support for new services soon, so stay tuned for further updates. Azure Logic Apps. Azure Container Instance.

Azure 151

Azure Cloud Tuning Monitoring 151

CSS Wizardry

NOVEMBER 3, 2020

So many false starts, tedious workflows, and a complete lack of efficiency really made it difficult for me to find momentum. Historically, I’d maybe look at Google Analytics—or a RUM solution if the client had one already—but this is only useful for showing me particular outliers, and not necessarily any patterns across the whole project.

Speed 292

Speed Ecommerce Metrics Analytics 292

The Netflix TechBlog

JULY 20, 2020

The application is a combination of neural embeddings , which encode the semantic information in words and sentences, and locality sensitive hashing , which efficiently assigns approximately nearby items to the same buckets and faraway items to different buckets. there is no other way if the business problems need to be solved in real-time.

Development 177

Development Open Source Tuning Network 177

Dynatrace

SEPTEMBER 29, 2021

For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability. The “scheduler” determines the placement of new containers so compute resources are used most efficiently. Watch webinar now! Networking.

Open Source 294

Open Source Traffic DevOps Cloud 294

Dynatrace

JANUARY 19, 2021

Actionable analytics across the?entire Serverless architectures help developers innovate more efficiently and effectively by removing the burden of managing underlying infrastructure. Actionable analytics across the?entire From here you can use Dynatrace analytics capabilities to understand the response time?and

Lambda 202

Lambda Serverless AWS Mobile 202

Dynatrace

MAY 20, 2020

The new API allows you to realize use cases in reporting and data analytics and to further integrate custom applications with Dynatrace. Every metric has metadata properties that are important for efficiently querying data. Dynatrace Keptn , for example, uses the new Metrics API v2 to monitor the outcomes of application deployment.

Metrics 220

Metrics Operating System Tuning Monitoring 220

Percona

AUGUST 17, 2023

It’s used for data management (shocker), application development, and data analytics. Data analytics: With the right extensions and configurations, PostgreSQL can support analytical processing and reporting. PostgreSQL is open source relational database management software. What is PostgreSQL used for?

Open Source 78

Open Source Healthcare Social Media Database 78

IO River

NOVEMBER 2, 2023

With the ever-growing demands of the internet, websites and web applications face the challenge of delivering content swiftly and efficiently to users worldwide. They route traffic from the CDN to the origin tier, ensuring that user requests are efficiently directed to the best source. That’s where rules come in.

Traffic 52

Traffic Cache Servers Latency 52

Dynatrace

MAY 5, 2021

” Data from the build process feeds impactful analytics from Davis AI to detect the precise root cause if software fails to meet specific benchmarks. Fine-tuning the service-level indicators that make up quality gates will improve with the help of upcoming features. How Intuit puts Dynatrace to work.

Benchmarking 176

Benchmarking Latency Speed Software 176

The Netflix TechBlog

OCTOBER 19, 2020

We earned the trust of our engineers by developing empathy for their operational burden and by focusing on providing efficient tracer library integrations in runtime environments. Our engineering teams tuned their services for performance after factoring in increased resource utilization due to tracing. Storage: don’t break the bank!

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

IO River

NOVEMBER 2, 2023

With the ever-growing demands of the internet, websites and web applications face the challenge of delivering content swiftly and efficiently to users worldwide. Just like how a traffic cop ensures cars flow smoothly at an intersection, a Load Balancer makes sure data moves efficiently across the network. That’s where rules come in.

Traffic 40

Traffic Cache Network Servers 40

Dynatrace

MAY 15, 2020

But outdated security practices pose a significant barrier even to the most efficient DevOps initiatives. Today, security teams often employ SIEMs for log analytics. In the future you will see even more innovation from Dynatrace in this space so please stay tuned.

Government 218

Government DevOps Infrastructure Network 218

Dynatrace

DECEMBER 8, 2020

One single platform drives efficient DevSecOps collaboration and automated vulnerability management. Stay tuned – this is only the start. Vulnerabilities are prioritized by real exposure: is a library actually used in production, is the vulnerability exposed to the public internet, is sensitive data affected?

Cloud 284

Cloud Open Source Internet Internet 284

Dynatrace

DECEMBER 9, 2020

We’re happy to announce that Dynatrace now provides guidance and templates for setting up Service-Level Objectives (SLOs) with the right metrics, gives you all the facts, and combines this with the powerful analytics of problem root-cause detection. Read more: Google’s definition of the term Site Reliability Engineering.

Metrics 148

Metrics Engineering Google Monitoring 148

Percona

JANUARY 14, 2019

What if we use ClickHouse (which is a columnar analytical database) as our main datastore? Well, typically, an analytical database is not a replacement for a transactional or key/value datastore. However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node).

Database 40

Database Analytics Blockchain Healthcare 40

Abhishek Tiwari

JULY 12, 2018

It can be used to power new analytics, insight, and product features. It can be used to power new analytics, insight, and product features. If tuned for performance, there is a good change reliability is compromised - and vice versa. This can be efficient at the beginning but counter-productive in a long run.

Latency 63

Latency Analytics Scalability Engineering 63

O'Reilly Software

APRIL 4, 2018

The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. A message-oriented implementation requires an efficient messaging backbone that facilitates the exchange of data in a reliable and secure way with the lowest latency possible. At least once? At most once?

Architecture 80

Architecture Scalability Google Operating System 80

HammerDB

FEBRUARY 25, 2021

For the TPROC-H workload this is all we need the queries are long-running analytics queries so once executed on the database do not need to wait for the benchmarking client. However, having the application logic in the client is even worse because you are sacrificing key database efficiencies of prepared statements. select top 100.

Programming 67

Programming Benchmarking Virtualization C++ 67

The Netflix TechBlog

JULY 26, 2021

The paradigm spans across methods, tools, and technologies and is usually defined in contrast to analytical reporting and predictive modeling which are more strategic (vs. Operational Reporting Pipeline Example Iceberg Sink Apache Iceberg is an open source table format for huge analytics datasets. Please stay tuned!

Big Data 253

Big Data Government Analytics Processing 253

The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store.

Latency 243

Latency Storage Big Data Tuning 243

Smashing Magazine

FEBRUARY 2, 2022

JavaScript-based frameworks like React made the process of developing web applications streamlined and efficient, for better or worse. It’s an admin page that has an overview of all user activity, accounts, and analytics (admin page). This automatization often leads developers to treat a framework and build tools as a black box.

Code 89

Code Performance Network Website 89

The Netflix TechBlog

APRIL 29, 2019

Demand Engineering Demand Engineering is responsible for Regional Failovers , Traffic Distribution, Capacity Operations and Fleet Efficiency of the Netflix cloud. CORE The CORE team uses Python in our alerting and statistical analytical work. We are proud to say that our team’s tools are built primarily in Python.

Open Source 279

Open Source Network Infrastructure Big Data 279