New Tech Forum provides a venue to explore and discuss emerging enterprise technology in unprecedented depth and breadth. The selection is subjective, based on our pick of the technologies we believe to be important and of greatest interest to InfoWorld readers. InfoWorld does not accept marketing collateral for publication and reserves the right to edit all contributed content.
Grafana Tempo is an open source, easy-to-use, high-volume distributed tracing system that takes advantage of 100% sampling, and only requires an object storage back end.
Time series forecasts are used to predict a future value or a classification at a particular point in time. Here’s a brief overview of their common uses and how they are developed.
The next frontier for data processing is a new platform capable of delivering insights, actions, and value the instant data is born.
Time series analysis involves identifying attributes of your time series data, such as trend and seasonality, by measuring statistical properties.
An open, services-oriented approach has clear advantages for building modular and scalable applications. We should take the same approach to our data.
Visualizing time series data is often the first step in observing trends that can guide time series modeling and analysis.
Apache Pulsar is an open source streaming platform that addresses some important limitations in Kafka, particularly for cloud-native applications.
Time series data key insights in domains ranging from science and medicine to systems monitoring and industrial IoT. Understand time series data and the databases designed to ingest, store, and analyze time series data.
How the fully managed Kafka service can bring peace and simplicity to the lives of those who depend on event streaming infrastructure.
PostgreSQL continues to improve in ways that meet the needs of even the most complex, mission-critical use cases. It also presents certain challenges.
ProxyJump forwards the stdin and stdout of the local client to the destination host, allowing us to set up jump servers without giving them direct SSH access.
At Snowflake, we fully embrace the value of open standards and open source. But we strive to avoid misguided applications of open that create costly complexity instead of low-cost ease of use.
Processes and process automation take many forms. Here’s how to navigate the growing ecosystem of tools for automating everything from simple repetitive tasks to complex custom workflows.
Pulling from container registries is key to ensuring the health and resilience of the CI/CD pipeline. Choose your registry with care.
An in-memory digital integration hub enables flexible, real-time information flow between mainframes and external systems, unlocking mainframe data for digital transformation.
You can avoid command line tedium and simplify access to a fleet of servers by creating a flexible configuration file for your SSH client. Here’s how.
As Moore’s Law loses steam, off-loading data compression, data encryption, low-level data data processing, and other heavy-duty computation tasks to storage nodes makes sense. Here’s how that would work.
9 out of 10 companies have accelerated their cloud adoption in response to the coronavirus pandemic, with corresponding increases in cloud spend—and waste.
By decoupling policy from applications, policy as code allows you to change the coding for policy without changing the coding for apps. Translation: reliability, uptime, and efficiency.
Enterprise-grade explainability solutions provide fundamental transparency into how machine learning models make decisions, as well as broader assessments of model quality and fairness. Is yours up to the job?
The past 12 months have revealed how valuable data science can be while also exposing its limitations. Expect big advances in the year to come.
A standard operating environment can reduce the time it takes to deploy, configure, maintain, support, and manage containerized applications. Let’s get SOEs and containers back together.
Build a React application to track the orbit of the International Space Station using Telegraf, InfluxDB, ExpressJS, and Giraffe.
Aerospike’s Cross-Datacenter Replication with Expressions makes it easy to route the right data at the right time across global applications to meet compliance mandates and reduce server, cloud, and bandwidth costs.
A biased AI model must have learned a biased relationship between its inputs and outputs. We can fix that.
6 steps IT departments can take to identify IT spend and optimize reinvestments in digital transformation initiatives.
3 conscious experience design principles that will help you integrate ‘living’ AI into your applications and how to implement them.
After a trying 2020, signs point to data science becoming an enterprise-wide capability that impacts every line of business and functional department in the coming year.
Developments in containers and virtualization, container tooling, containers for edge computing, and Kubernetes you should have on your radar in the coming year and beyond.
Devops teams are flocking to GitOps strategies to accelerate development time frames and eliminate cloud misconfigurations. They should adopt a similar ‘as-code’ approach to policy.
CockroachDB 20.2 brings a Kubernetes operator, spatial data, a new storage engine, SQL enhancements, and much more, extending the range of workloads for which the database can be used.
Why we must use a zero-trust security model in microservices and how to implement it using the Kuma universal service mesh.
Viable, large-scale quantum computers will require better qubits, better control chip technology, more advanced error correction, and new components at every layer of the stack. We’re making progress.
How Open Policy Agent allows developer teams to write and enforce consistent policy and authorization across multicloud and hybrid cloud environments
By combining machine learning and adaptive query execution, query optimization in Presto could become smarter and more efficient over repeated use.
Linux containers provide the kind of flexible, agile, and secure development environment needed during times of change
AutoML is poised to turn developers into data scientists — and vice versa. Here’s how AutoML will radically change data science for the better.
How to improve dependency management by ‘shifting security left’ and providing developers with a unified CI/CD pipeline
How companies like Netflix, Pinterest, Yelp, Chef, and Atlassian use OPA for ‘who-and what-can-do-what’ application policy
Pairing your on-prem SQL Server with a cloud-based instance for high availability has its challenges, but they can be overcome. Here’s how.
Among the many ways of implementing a GraphQL engine, only one approach offers the same performance, scalability, and ACID guarantees as the underlying database.
If Oracle convinces the U.S. Supreme Court that APIs are copyrightable, the impact will be felt by software developers across the globe
Kubernetes runs distributed applications, and Apache Cassandra provides a distributed database environment. Here’s how you can run them together
A new MariaDB storage engine provides distributed SQL and massive scalability with a shared nothing architecture, fully distributed ACID transactions, and strong consistency
A federated SQL query execution engine created at Facebook, Presto brings interactive querying to all of your data — no matter where it resides
Open Policy Agent addresses Kubernetes authorization challenges with a full toolkit for integrating declarative policies into any number of application and infrastructure components
How to plan and implement observability of a Java application with Elasticsearch — a step-by-step guide
There are appealing enterprise options beyond AWS, Azure, and GCP, but buyer beware — not just any cloud service qualifies
How to address dramatic usage increases during COVID-19 or to start planning for growth in the post-pandemic recovery
Combining metrics, events, logs, and traces is essential to understanding our increasingly complex software environments