article thumbnail

Using OpenTelemetry and AI-powered observability to eliminate open source data silos

Dynatrace

Although many companies adopt solutions such as OpenTelemetry, Prometheus, and Grafana as part of their observability strategy, they often confront a common data analysis problem: data silos. As a solution, teams often adopt open source observability tools like OpenTelemetry to gain situational awareness of their cloud-native environments.

article thumbnail

Plan Your Multi Cloud Strategy

Scalegrid

A well-planned multi cloud strategy can seriously upgrade your business’s tech game, making you more agile. Key Takeaways Multi-cloud strategies have become increasingly popular due to the need for flexibility, innovation, and the avoidance of vendor lock-in. Thinking about going multi-cloud?

Strategy 130
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

From Proprietary to Open Source: The Complete Guide to Database Migration

Percona

Migrating a proprietary database to open source is a major decision that can significantly affect your organization. Advantages of migrating to open source For many reasons mentioned earlier, organizations are increasingly shifting towards open source databases for their data management needs.

article thumbnail

Performance Testing with Open Source Tools – Myths and Reality

Alex Podelko

Some time ago Federico Toledo published Performance Testing with Open Source Tools- Busting The Myths. Otherwise we wouldn’t see so many commercial tools built on the top of open source including BlazeMeter (it is ironic that the article is posted on the BlazeMeter site), Flood, and OctoPerf.

article thumbnail

Elasticsearch Indexing Strategy in Asset Management Platform (AMP)

The Netflix TechBlog

Elasticsearch Integration Elasticsearch is one of the best and widely adopted distributed, open source search and analytics engines for all types of data, including textual, numerical, geospatial, structured or unstructured data. It was time to take a step back and reevaluate our ES data indexing and sharding strategy.

Strategy 258
article thumbnail

Why applying chaos engineering to data-intensive applications matters

Dynatrace

This high level of abstraction is provided by industry-grade, open source stream processing frameworks such as Kafka Streams , Apache Flink , and Spark Structured Streaming. Stream processing systems, designed for continuous, low-latency processing, demand swift recovery mechanisms to tolerate and mitigate failures effectively.

article thumbnail

RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

Therefore, these organizations need an in-depth strategy for handling data that AI models ingest, so teams can build AI platforms with security in mind. Organizations building out their cloud security strategy must prioritize an end-to-end view of their cloud, applications, microservices, and more to keep their data secure.