Dynatrace

JANUARY 18, 2023

From site reliability engineering to service-level objectives and DevSecOps, these resources focus on how organizations are using these best practices to innovate at speed without sacrificing quality, reliability, or security. Unpacking the purpose and importance of an IT cultural revolution – blog. – blog. What are SLOs?

DevOps 203

DevOps Best Practices Innovation Strategy 203

Dynatrace

JULY 29, 2022

This is where having the proper log management solution can help teams manage costs, while ensuring they still have visibility into critical application environments. Modern log analytics allow teams to access data in real time and get precise answers without indexing it first. Inadequate context. Poor root-cause analysis.

Analytics 186

Analytics Storage Retail Monitoring 186

Dynatrace

AUGUST 16, 2023

To manage this crucial aspect, many companies adopt service level objectives (SLOs). They help define how often and for how long services can afford to fail without severely impacting users. Without implementing robust SLO monitoring, anomaly detection, and alerting on SLOs, teams can miss issues that breach defined quality targets.

Monitoring 190

Monitoring DevOps Metrics Innovation 190

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. Given our role on this critical path, accuracy is paramount.

Data Engineering 264

Data Engineering Engineering Processing Games 264

Dynatrace

FEBRUARY 15, 2023

Cloud environments—including multicloud, hybrid, and cloud-native ecosystems—offer unmatched agility, scalability, and cost-effectiveness, though they also present new challenges and complexities that are impossible to manage manually. The AutomationEngine actions and integrations ecosystem are being continuously developed and extended.

Cloud 178

Cloud DevOps Code Open Source 178

Dynatrace

MARCH 23, 2020

Our procurement decisions were based on trace data that was pulled from a handful of fragmented monitoring solutions. There’s no way to accurately predict capacity of Kubernetes nodes or clusters without a high level of observability. Helm offers much needed package management for Kubernetes.

Google 195

Google Engineering Metrics Hardware 195

Dynatrace

OCTOBER 17, 2023

One workaround customers take is sampling critical data to manage ingestion cost. What stands out as an imperative now is the urgent need for vendors to shift their focus back to customers and resist the temptation to capitalize on the growing demand for extensive data management and monitoring in complex IT environments.

Retail 242

Retail Storage Best Practices Architecture 242

Dynatrace

NOVEMBER 10, 2021

By combining DevOps with Security to enable DevSecOps , you can shift security checks left into the software development lifecycle (SDLC), allowing you to keep up pace and velocity without jeopardizing security. Automated release decisions enriched with security. Further Managed deployment options will be released in a future release.

Serverless 218

Serverless DevOps Cloud Metrics 218

Dynatrace

SEPTEMBER 8, 2022

What is log management? Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Comparing log monitoring, log analytics, and log management. Dynatrace news.

Systems 189

Systems Cloud Analytics DevOps 189

Dynatrace

APRIL 6, 2022

Without a single source of truth, teams often wrestle with competing answers. Without full observability of an organization’s entire multicloud environment , you have, at best, a partial understanding of your application infrastructure. Improve business decisions with precision analytics. Watch webinar now!

DevOps 235

DevOps Innovation Infrastructure Analytics 235

Dynatrace

JULY 12, 2022

AIOps and observability for infrastructure management. Accordingly, for organizations developing and managing applications in the cloud, AIOps (AI for IT operations) has become a key tool to understand application performance problems, cybersecurity threats, and more. And then we never see these issues manifest again.

Innovation 224

Innovation Infrastructure DevOps Azure 224

Dynatrace

JANUARY 23, 2024

And how can they take advantage of AI without incurring skyrocketing costs to store, manage, and query data? But for organizations to maximize the business benefits of AI, they need to continuously evaluate their data to ensure it’s high-quality data, which is the bedrock of solid decision making. What is explainable AI?

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

Dynatrace

SEPTEMBER 29, 2021

This blog continues with more examples of Dynatrace’s Monitoring as Code (Monaco) and Service Level Objectives (SLOs) release validation using Dynatrace SaaS Cloud Automation. For orientation on the use cases in this blog series, refer to the picture below. Blog series use cases. SLO/SLI configuration file example.

Software 206

Software Software Open Source DevOps 206

Dynatrace

MARCH 13, 2020

We have also made the tough but sensible decision to transition our live events from in-person to digital format. . If you have any questions, please contact your Customer Success Manage r or email : DynatraceONE@dynatrace.com. . The post Dynatrace Business Continuity During COVID-19 appeared first on Dynatrace blog.

Innovation 219

Innovation Cloud 219

Dynatrace

FEBRUARY 10, 2022

Today, businesses are racing ever faster to accommodate customer demands and innovate without sacrificing product quality or security. They bring a scale and complexity that is well beyond that of the data center world and it isn’t manageable manually.”. Dynatrace news. Dynatrace CEO Rick McConnell at Perform 2022 in Las Vegas.

Artificial Intelligence 189

Artificial Intelligence Performance Innovation Speed 189

Dynatrace

DECEMBER 2, 2021

Error budgets allow development teams to make informed decisions between new development vs operations and polishing existing software. Properly set and defined SLOs should have error budgets that give developers space to innovate without impacting operations. Help with decision making. For example, if your SLO guarantees 99.5%

Metrics 196

Metrics Best Practices DevOps Infrastructure 196

Dynatrace

DECEMBER 13, 2023

In this blog, we’ll discuss our predictions for 2024 regarding the future of observability, the most significant AI trends, and other technologies that will power the next wave of transformations in organizations worldwide. Organizations realize if they don’t empower their employees to use AI tools officially, they will do so without consent.

Technology 208

Technology Technology Artificial Intelligence Analytics 208

Dynatrace

JULY 27, 2020

” A major struggle for anyone that builds dashboards is managing dashboard explosion. Teams need data visualized in different ways so they can make informed decisions. Your business stakeholders will be making decisions without current and reliable dashboards to support their reasoning. Then what happens next?

Analytics 173

Analytics Artificial Intelligence Metrics Design 173

Dynatrace

FEBRUARY 10, 2021

To sustain market leadership in this new normal, organizations must pay attention to key success factors, including: Velocity : Fast time to market and short release cycles, without an impact on quality. Resilience : Critical production business systems must not fail. is probably a developer’s “What version are you running?”

Cloud 171

Cloud DevOps Speed Azure 171

Dynatrace

JULY 18, 2022

The arrival of the OpenTelemetry initiative is timely, as development teams are increasingly becoming active in monitoring and observability efforts to accelerate release times and simplify management. They can run security scans, discover APIs, and track API consumption without extensive setup or configuration. Watch session now!

Artificial Intelligence 198

Artificial Intelligence Open Source Analytics Monitoring 198

Dynatrace

FEBRUARY 15, 2023

Metrics on Grail is architected to manage billions of metrics to cope with cardinalities and unique value combinations of 1 trillion potential permutations for timeframes beyond a year. However, data on its own, without context, doesn’t reveal all its insights. Grail solves this scalability issue!

Analytics 235

Analytics Social Media Metrics Efficiency 235

Dynatrace

JUNE 26, 2020

With today’s high expectations for the speed and availability of applications, you need a deep understanding of real user experiences to make the best business decisions. The newly added public locations are fully managed by Dynatrace and allow you to get started with HTTP monitors right away. Dynatrace news. Support for OAuth 2.0,

Monitoring 259

Monitoring Azure AWS Traffic 259

Dynatrace

AUGUST 10, 2021

And, they got the chance to do just that at our recent event, DynatraceGo, which I’ll tell you a bit more about in this blog. She dispelled the myth that more big data equals better decisions, higher profits, or more customers. Tricia quoted the statistic that companies typically use 3% of their data to inform decisions.

DevOps 246

DevOps Innovation Big Data Cloud 246

Dynatrace

APRIL 28, 2021

Answering this question requires careful management of release risk and analysis of lots of data related to each release version of your software. The effort of manually collecting release-relevant data for decision making can easily become a bottleneck in your release automation pipeline and automated software lifecycle.

Software 241

Software Software Strategy Metrics 241

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. As a result, organizations can deliver better user experiences and make better business decisions. Learn more here. What is AWS Lambda?

AWS 232

AWS Lambda Artificial Intelligence Serverless 232

Scalegrid

MAY 13, 2020

It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Percona

MARCH 1, 2023

In this blog post, we will see how running databases on Kubernetes with Percona Operators can reduce your cloud bill when compared to using AWS RDS. Seems this and further techniques can be easily executed without Kubernetes and Operators by just leveraging EC2 instances. “ Why Operators? Why do I need Operators?

Cloud 129

Cloud Storage AWS Database 129

Percona

DECEMBER 18, 2023

But sometimes, more often than you’d think, decisions are being made to move from an existing platform to Postgres for purely business and economic reasons. This is where the decision to sunset an otherwise successful stack has less to do with performance and more about changing realities and opportunities.

Open Source 118

Open Source Database Architecture Design 118

The Netflix TechBlog

NOVEMBER 13, 2023

In this blog post, we will introduce speech and music detection as an enabling technology for a variety of audio applications in Film & TV, as well as introduce our speech and music activity detection (SMAD) system which we recently published as a journal article in EURASIP Journal on Audio, Speech, and Music Processing.

Architecture 224

Architecture Energy Benchmarking Processing 224

Dynatrace

SEPTEMBER 14, 2022

Not every situation lends itself to AIOps—for example, think about data that either can’t be monitored cost efficiently (where real-time processing wouldn’t benefit you) or when creating ad hoc reports to check long-term trends and make tactical/strategic business decisions in a timely fashion. What’s next.

Metrics 234

Metrics Analytics Monitoring Efficiency 234

Dynatrace

MARCH 11, 2021

It’s been a while since my last blog article on managing Dynatrace Managed at scale. I also asked myself If I only want to delay the notification of problems or if it wouldn’t make sense to tweak the anomaly detection settings to not create the problems at all – without losing problem visibility. Dynatrace news.

Tuning 264

Tuning Architecture Monitoring Big Data 264

Dynatrace

DECEMBER 9, 2020

Automating any decision making based on release risks requires domain knowledge and an understanding of business impact. All you need is to make the confident decision about whether to push the release button—with respect to release risks or any quality degradation. Watch this talk about Automated SLO Management for more information.

Metrics 154

Metrics Engineering Google Monitoring 154

The Netflix TechBlog

OCTOBER 7, 2021

Hence, it became important to supplement our release decisions with strong evidence received from the field during the update process. The goal of this blog post is to highlight the investment areas for this vision and the challenges we are facing today. Client Applications We deal with two classes of client application updates.

Metrics 197

Metrics Mobile Testing Strategy 197

Testlodge

AUGUST 9, 2023

It also prevents duplicate or overlapping tests by ensuring each decision is only covered once. Typically, a product manager will provide the baseline path labeled as the critical path. Once the baseline path is selected, generate the second path by changing the outcome of the first decision.

Testing 75

Testing Software Software C++ 75

Dynatrace

AUGUST 16, 2022

Though analysts and management can’t make use of this log data if it’s formatted with custom keywords or IDs that can’t be mapped to a dashboard or report for further analysis. Creating and using log processing rules doesn’t incur additional costs and is available for Dynatrace SaaS and Managed customers.

Processing 193

Processing Metrics Monitoring Java 193

The Netflix TechBlog

JULY 30, 2019

In this blog, we would like to present the latest updates to Conductor, address some of the frequently asked questions and thank the community for their contributions. Adoption As of writing this blog, Conductor orchestrates 600+ workflow definitions owned by 50+ teams across Netflix.

Lambda 189

Lambda Media Open Source Metrics 189

Dynatrace

JULY 16, 2020

In part one of this series I’ve covered the automatic roll-out of the OneAgent to thousands of hosts and the autonomous setup of Dynatrace environments in a large global Dynatrace Managed installation. Able to span multiple Dynatrace Managed Clusters. ? Consolidating the APIs. Self-maintaining the rotation of Dynatrace’s API tokens. ?

Cache 235

Cache Serverless Efficiency Tuning 235