Dynatrace

JULY 29, 2022

Log analytics can determine whether the same service or function is consistently causing an application to not meet SLOs during peak season — for example, when a retailer offers an end-of-season sale, or a financial application is critical for closing out the year. Cold storage and rehydration. Cold storage and rehydration.

Analytics 208

Analytics Storage Retail Monitoring 208

Dynatrace

OCTOBER 17, 2023

AI can help automate tasks, improve efficiency, and identify potential problems before they occur. Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. IT automation also helps improve operational efficiency by automating repetitive tasks.

Monitoring 219

Monitoring Artificial Intelligence Performance Analytics 219

Dynatrace

JULY 29, 2022

Log analytics can determine whether the same service or function is consistently causing an application to not meet SLOs during peak season — for example, when a retailer offers an end-of-season sale, or a financial application is critical for closing out the year. Cold storage and rehydration. Cold storage and rehydration.

Analytics 175

Analytics Storage Retail Monitoring 175

Dynatrace

OCTOBER 30, 2023

During the session, Reitbauer dove into several business-critical, high-impact examples of how customers can wield platform engineering in the Dynatrace platform out of the box and throughout the entire software delivery lifecycle. One of the keys to managing cloud costs is ensuring that operations are running efficiently.

Engineering 239

Engineering DevOps Innovation Storage 239

Dynatrace

SEPTEMBER 5, 2023

This enables efficient resource allocation, avoiding unnecessary expenses and ensuring optimal performance. Operators need to closely observe business-critical resource capacities such as storage, CPU, and memory to avoid outages that are driven by resource shortages. This is just one example of predictive AI in action.

Artificial Intelligence 257

Artificial Intelligence DevOps Analytics Engineering 257

Dynatrace

SEPTEMBER 8, 2022

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. It involves both the collection and storage of logs, as well as aggregation, analysis, and even the long-term storage and destruction of log data.

Systems 180

Systems Cloud Analytics DevOps 180

Dynatrace

OCTOBER 14, 2022

This way, it‘s possible to flexibly select what confidential or sensitive information (for example, PII) is hashed or completely removed before it leaves the enterprise premises. If a more granular rule is present on the host level, that rule will precede any blanket rule on, for example, the tenant level. Try it out yourself.

Storage 220

Storage Government Network Infrastructure 220

The Morning Paper

NOVEMBER 5, 2019

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., It’s also a fabulous example of recognising and challenging implicit assumptions. In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. SOSP’19.

Storage 64

Storage Systems Hardware Efficiency 64

The Netflix TechBlog

NOVEMBER 29, 2023

Bitrate versus quality comparison HDR-VMAF is designed to be format-agnostic — it measures the perceptual quality of HDR video signal regardless of its container format, for example, Dolby Vision or HDR10. Shown below are rate versus quality examples for a couple of titles from our HDR catalog. We present two sets. The first set (Fig.

Open Source 252

Open Source Software Engineering Internet Internet 252

Dynatrace

SEPTEMBER 26, 2022

Progressive rollouts, rollbacks, storage orchestration, bin packing, self-healing, cost efficiency, and access to the Cloud Native Computing Foundation (CNCF) ecosystem carry heavy observability challenges. Evictions are an example of Kubernetes attempting to bring applications—or the cluster itself—to a declared state.

Storage 292

Storage Engineering Traffic Infrastructure 292

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

Percona

FEBRUARY 15, 2023

This post will illustrate through a simple example how bloom filters work in MyRocks. A bloom filter is a space-efficient way of storing information about a list of keys. In the above example, if you add all the first names of the people at Percona you’ll end up with only “1” That would be obviously useless.

Storage 125

Storage Tuning Cache Engineering 125

Scalegrid

JANUARY 9, 2024

Defining Enterprise Cloud Security In today’s business landscape, the reliance on cloud services for data storage and processing has made enterprise cloud security a crucial factor. Data encryption should be applied along with robust access controls and efficient encryption key management procedures.

Strategy 130

Strategy Cloud Best Practices Government 130

Dynatrace

JUNE 7, 2023

Kubernetes also gives developers freedom of choice when selecting operating systems, container runtimes, storage engines, and other key elements for their Kubernetes environments. Like Kubernetes, it allocates resources efficiently and ensures high availability and fault tolerance.

Open Source 199

Open Source Social Media Infrastructure Operating System 199

Dynatrace

DECEMBER 18, 2023

But often, we use additional services and solutions within our environment for backups, storage, networking, and more. Kubernetes-based efficient power level exporter (Kepler) is a Prometheus exporter that uses ML models to estimate the energy consumption of Kubernetes pods. Labels we don’t need.

Metrics 172

Metrics Engineering Energy Tuning 172

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 Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage. Storage: don’t break the bank!

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

The Morning Paper

SEPTEMBER 15, 2019

Fine-grained, secure and efficient data provenance on blockchain systems Ruan et al., For example, a contract that sends a reward amount of tokens to a user based on that user’s average balance per day over some period. For example, suppose the read set is and the write set is. VLDB’19.

Blockchain 55

Blockchain Efficiency Systems Storage 55

Dynatrace

MAY 26, 2021

A great example of this is Dynatrace, that’s been doing SLA monitoring for years, which Jonah also shared in his talk. Trace-based sampling can help you save storage costs. This can help you save money in storage costs in the long run. A screenshot of Jonah’s talk with a picture of Dynatrace’s SLA capability. We second that.

AWS 205

AWS Strategy Storage Metrics 205

Dynatrace

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. What is explainable AI?

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

Percona

JUNE 22, 2023

We will also discuss related configuration variables to consider that can impact these KPIs, helping you gain a comprehensive understanding of your MySQL server’s performance and efficiency. Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution.

Performance 102

Performance Monitoring Traffic Database 102

Scalegrid

JANUARY 25, 2024

Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures. Evaluating factors like hit rate, which assesses cache efficiency level, or tracking key evictions from the cache are also essential elements during the Redis monitoring process.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

SEPTEMBER 8, 2023

This alert serves as a valuable tool in maintaining operational efficiency, ensuring business continuity, and delivering optimal customer experiences. For example, by applying forecast analysis to payment data, businesses can identify potential cash flow issues or predict periods of high transaction activity.

Database 264

Database Artificial Intelligence Metrics Monitoring 264

The Netflix TechBlog

AUGUST 28, 2020

1: Example of a thriller-drama episode showing new highest bitrate of 11.8 2: Example of a sitcom episode with some action showing new highest bitrate of 8.5 3: Example of a sitcom episode with less action showing new highest bitrate of 6.6 4: Example of a 4K animation episode showing new highest bitrate of 1.8

Network 330

Network Storage Innovation Mobile 330

Dynatrace

AUGUST 26, 2020

Say, for example, that you have some unused high memory instances (1 TB RAM / 128 vCPU cores or higher). Optimal metric storage management strategy. Dynatrace Managed metric storage management is reliable and delivers high performance. Support for high memory instances. Wasted resources simply aren’t an option.

Performance 149

Performance Hardware Java Storage 149

Dynatrace

JULY 25, 2022

This new service enhances the user visibility of network details with direct delivery of Flow Logs for Transit Gateway to your desired endpoint via Amazon Simple Storage Service (S3) bucket or Amazon CloudWatch Logs. Automate cloud operations and trigger remediation workflow to enhance efficiency. What is AWS Transit Gateway?

AWS 211

AWS Transportation Network Traffic 211

Dynatrace

JUNE 1, 2023

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. Teams can build on these SLO examples to improve application performance and reliability. In this post, I’ll lay out five SLO examples that every DevOps and SRE team should consider. or 99.99% of the time.

Traffic 173

Traffic Latency Website Virtualization 173

Dynatrace

MAY 26, 2021

A great example of this is Dynatrace, that’s been doing SLA monitoring for years, which Jonah also shared in his talk. Trace-based sampling can help you save storage costs. This can help you save money in storage costs in the long run. A screenshot of Jonah’s talk with a picture of Dynatrace’s SLA capability. We second that.

AWS 147

AWS Strategy Storage Metrics 147

Percona

DECEMBER 23, 2022

I wrote this post on MyRocks because I believe it is the most interesting new MySQL storage engine to have appeared over the last few years. Although MyRocks is very efficient for writes, I chose a more generic workload that will provide a different MyRocks use case. RocksDB is a very efficient key-value store based on LSM trees.

Storage 55

Storage Cache C++ Virtualization 55

The Netflix TechBlog

OCTOBER 28, 2021

The efficiency achieved in processing and storage layers brought us big savings on computing and storage costs. The scale brought some interesting learnings and involved working closely with the Apache Flink and Kafka community to fix core issues. You can learn more about it from my talk at the Flink forward conference.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

Dynatrace

DECEMBER 15, 2022

In this blog, we share three log ingestion strategies from the field that demonstrate how building up efficient log collection can be environment-agnostic by using our generic log ingestion application programming interface (API). Set up the configuration on the same port as specified for source data, in this example 5140.

Strategy 174

Strategy AWS Open Source Transportation 174

Dynatrace

NOVEMBER 10, 2020

These capabilities enable deeper insights into all areas of GCP environments, which in turn allows businesses to quickly troubleshoot performance issues, optimize container workloads, and efficiently scale cloud operations. Cloud Function is just an example on how out-of-the-box dashboards can help you. Google Cloud Storage.

Google 213

Google Cloud Serverless Innovation 213

Percona

JANUARY 19, 2023

In this blog post, we will review key topics to consider for managing large datasets more efficiently in MySQL. Redundant indexes: It is known that accessing rows by fetching an index is more efficient than through a table scan in most cases. It can help us to save costs on storage and backup times. ibd -rw-r --. ibd -rw-r --.

Open Source 85

Open Source Storage Database Big Data 85

The Netflix TechBlog

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 203

Storage Latency Efficiency Data Engineering 203

Dynatrace

SEPTEMBER 30, 2021

Not only will they get much more out of the tools they use daily, but they’ll also be able to deliver superior functionality, efficiency, and performance to your customers. In addition, 45% of them have gone on to implement efficiencies in their roles, and 43% reported they were able to do their job more quickly after getting certified.

AWS 202

AWS Best Practices Analytics Cloud 202

CSS - Tricks

SEPTEMBER 21, 2020

I would think if you really looked, and knew exactly how to measure it, you could find examples like that. In that example, usually, we’re thinking about performance moreso than energy consumption, but that’s interesting right away: does good performance map to lower energy usage? Probably.

Website 97

Website Energy Storage Efficiency 97

Dynatrace

DECEMBER 5, 2023

This growth was spurred by mobile ecosystems with Android and iOS operating systems, where ARM has a unique advantage in energy efficiency while offering high performance. Energy efficiency and carbon footprint outshine x86 architectures The first clear benefit of ARM in the enterprise IT landscape is energy efficiency.

Efficiency 259

Efficiency Architecture Energy Monitoring 259

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). Endpoint monitoring (EM). Endpoints can be physical (i.e.,

Monitoring 196

Monitoring Social Media IoT Metrics 196