This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Ready to transition from a commercial database to opensource, and want to know which databases are most popular in 2019? We broke down the data by opensource databases vs. commercial databases: OpenSource Databases. Popular examples of opensource databases include MySQL, PostgreSQL and MongoDB.
As a result, organizations are implementing security analytics to manage risk and improve DevSecOps efficiency. Fortunately, CISOs can use security analytics to improve visibility of complex environments and enable proactive protection. What is security analytics? Why is security analytics important? Here’s how.
Second, embracing the complexity of OpenTelemetry signal collection must come with a guaranteed payoff: gaining analytical insights and causal relationships that improve business performance. The missed SLO can be analytically explored and improved using Davis insights on an out-of-the-box Kubernetes workload overview.
The complexity of such deployments has accelerated with the adoption of emerging, open-source technologies that generate telemetry data, which is exploding in terms of volume, speed, and cardinality. Dynatrace extends its unique topology-based analytics and AIOps approach.
With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.
Dynatrace offers a feature-rich agent, Dynatrace OneAgent ® , and an agentless opensource approach perfectly tailored for edge-IoT use cases, leveraging OpenTelemetry. To transport our ADS-B application’s JSON log files into our Dynatrace tenant, we’ll leverage an agentless approach using opensource software ( OpenTelemetry ).
Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. OpenSource. Greenplum Advantages.
IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. With a data and analytics approach that focuses on performance without sacrificing cost, IT pros can gain access to answers that indicate precisely which service just went down and the root cause. Don’t reinvent the wheel.
One such open-source, distributed search and analytics engine is Elasticsearch, which is very efficient at handling data in large sets and high-velocity queries. With the evolution of modern applications serving increasing needs for real-time data processing and retrieval, scalability does, too.
By unifying log analytics with PurePath tracing, Dynatrace is now able to automatically connect monitored logs with PurePath distributed traces. This provides a holistic view, advanced analytics, and AI-powered answers for cloud optimization and troubleshooting. New to Dynatrace? If so, start your free trial today!
Uber uses Presto, an open-source distributed SQL query engine, to provide analytics across several data sources, including Apache Hive, Apache Pinot, MySQL, and Apache Kafka. To improve its performance, Uber engineers explored the advantages of dealing with quick queries, a.k.a.
Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. With Grail, we have reinvented analytics for converged observability and security data,” Greifeneder says. Logs on Grail Log data is foundational for any IT analytics. Opensource solutions are also making tracing harder.
Licensing, Security, and Support Free vs. Paid: Is the tool free, open-source, or does it require a license or subscription? Community Support: For open-source tools, is there an active community for troubleshooting and support? Data visualization and analytics tools with a direct integration with Tableau are possible.
In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts. Dynatrace Grail is a data lakehouse that provides context-rich analytics capabilities for observability, security, and business data. Therefore, we filtered them out with DQL.
Introducing Dynatrace OpenPipeline OpenPipeline is a stream-processing technology that transforms how the Dynatrace platform ingests data from any source, at any scale, and in any format. With OpenPipeline, you can easily collect data from Dynatrace OneAgent®, opensource collectors such as OpenTelemetry, or other third-party tools.
This year I wrote two open-source apps for Dynatrace users. Now we have performance and errors all covered: Business Analytics. Digital Business Analytics can help answer those questions. From the BizOpsConfigurator analytics, we were able to draw conclusions about which dashboard packs to focus on next.
These insights range from in-the-moment traffic conditions that provide guidance on trip routes to the Estimated Time of Delivery (ETD) of an UberEATS … The post Introducing AthenaX, Uber Engineering’s OpenSource Streaming Analytics Platform appeared first on Uber Engineering Blog.
The use of opensource databases has increased steadily in recent years. Past trepidation — about perceived vulnerabilities and performance issues — has faded as decision makers realize what an “opensource database” really is and what it offers. What is an opensource database?
Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. RabbitMQ is an open-source message broker that supports multiple messaging protocols , including AMQP, STOMP, MQTT, and RabbitMQ Streams. What is RabbitMQ? What is Apache Kafka?
Grafana, a leading open-source platform for monitoring and observability, has emerged as a critical player in enhancing security postures through real-time security analytics and alerts. Businesses are in dire need of robust tools that not only detect threats in real time but also provide actionable insights to mitigate risks.
TiDB is an open-source, distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It's challenging to troubleshoot issues in a distributed database because the information about the system is scattered in different machines. Before version 4.0,
Behind the scenes, Dynatrace merges the standard telemetry with these advanced AI attributes, surfaces them in real-time dashboards, and applies AI-driven analytics to discover anomalies, forecast usage costs, and diagnose root causes. Distributed Tracing overview of an Amazon Bedrock request with LangChain.
Our Dynatrace researchers now have a space to share their contributions and research in the domains of software intelligence, data science, real-time analytics, distributed data systems, and cloud-native application security.
Log collection platforms, such as Fluent Bit, give organizations a much-needed solution for quickly gathering and processing log data to make it available in different backends for further analytics. Fluent Bit, an opensource tool within the CNCF ecosystem, is a popular choice when choosing which log collection tool to use.
Dynatrace has supported the OpenTelemetry project for years as a key contributor and contributed to its rise to a popular opensource observability framework for cloud-native software. By ingesting OTLP logs into Dynatrace, you can utilize the Grail™ data lakehouse and its massively-parallel processing analytics engine.
Apache Spark , a robust open-source data processing framework, has emerged as a game-changer in this domain. While this format may not be ideal when you only need to retrieve a few rows from a large partition, it truly excels in analytical use cases.
Elasticsearch is an open-source search engine and analytics store used by a variety of applications from search in e-commerce stores, to internal log management tools using the ELK stack (short for “Elasticsearch, Logstash, Kibana”).
Open-source metric sources automatically map to our Smartscape model for AI analytics. Telegraf is an open-source agent by Influxdata. With the addition of a secure local REST API, we’ll soon bring this to other open-source metric providers like Spring Micrometer or OpenTelemetry metrics.
Kubernetes has become the leading container orchestration platform for organizations adopting opensource solutions to manage, scale, and automate application deployment. Kubernetes is an opensource container orchestration platform for managing, automating, and scaling containerized applications. AI-powered analytics.
In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. Open-source solutions, such as OpenTelemetry , provide a de facto standard for collecting telemetry data in cloud settings.
We use and contribute to many open-source Python packages, some of which are mentioned below. CORE The CORE team uses Python in our alerting and statistical analytical work. Python is also a tool we typically use for automation tasks, data exploration and cleaning, and as a convenient source for visualization work.
Our metric exporters allow for ingestion of OpenTelemetry-instrumented custom metrics into the Dynatrace openanalytics and AI platform, giving you precise and actionable analytics across the entire software life cycle. Collect usage statistics by pre-instrumenting an open-source framework. “We
Grail needs to support security data as well as business analytics data and use cases. With that in mind, Grail needs to achieve three main goals with minimal impact to cost: Cope with and manage an enormous amount of data —both on ingest and analytics. High-performance analytics—no indexing required.
Docker Engine is built on top containerd , the leading open-source container runtime, a project of the Cloud Native Computing Foundation (DNCF). Kubernetes is an open-source container orchestration platform for managing, automating, and scaling containerized applications. Here the overlap with Kubernetes begins.
OpenLLMetry, an opensource SDK built on OpenTelemetry, offers standardized data collection for AI Model observability. Utilizing an additional OpenTelemetry SDK layer, this data seamlessly flows into the Dynatrace environment, offering advanced analytics and a holistic view of the AI deployment stack.
We hear from our customers how important it is to have a centralized, quick, and powerful access point to analyze these logs; hence we’re making it easier to ingest AWS S3 logs and leverage Dynatrace Log Management and Analytics powered by Grail. However, as a first step, logs from S3 need to be ingested into Dynatrace Grail.
It enables trend analysis, anomaly detection, and predictive analytics, empowering businesses to optimize performance and make data-driven decisions. Thanks to technological advancements and the accessibility of open-source tools, gathering and analyzing data from IoT devices has become easier than ever before.
Gartner has estimated that 70% of new cloud-native application monitoring will use opensource instrumentation by 2025. More than 20 leading cloud and operations analytics vendors have added support to their products — including Dynatrace, which is one of the top contributors to the project. Getting to OpenTelemetry.
To get a handle on observability, teams often adopt open-source observability tools, such as Prometheus, OpenTelemetry , and StatsD. But between multicloud platforms and open-source tools, teams can also experience data silos. Harnessing data from open-source observability tools.
Why haven’t cash-strapped American schools embraced opensource? Google Analytics Becomes A Robust Testing Platform With Content Experiments API ( Google Analytics Blog). Pandora launches new HTML5 site for TVs and gaming consoles, available now on PS3 and Xbox 360 ( The Next Web). Hacker News).
The platform allows MySQL AWS administrators to automate their time-consuming database operations in the cloud and improve their performance with high availability, disaster recovery, polyglot persistence, and advanced monitoring and analytics.
In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.
To connect these siloes, and to make sense out of it requires massive manual efforts including code changes and maintenance, heavy integrations, or working with multiple analytics tools. Some solutions that use logs for troubleshooting only provide manual analytics to search for the root causes of issues.
Vulnerable and outdated components This is another broad category that covers libraries, frameworks, and opensource components with known vulnerabilities that may not have been patched. In addition, analyze data from a unified observability view that provides contextualized application security analytics.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content