Operations | Monitoring | ITSM | DevOps | Cloud

InfluxDB 3 Core is an open source, high-speed, recent-data engine; InfluxDB 3 Enterprise adds performance, high availability, security, and scalability for mission-critical workloads Built-in Python Processing Engine brings collection, transformation, monitoring, alerting, and automation on time series data.

We are proud to be releasing version Elasticsearch 9.0 and 8.18 to Elastic Cloud and self-managed users. The capabilities in these releases have already been available to our Elastic Cloud Serverless users, who have had access to generally available fully managed Elasticsearch on AWS, Azure, and GCP.

Aiven offers a seamless multi-service cross-cloud experience. When optimizing your infrastructure performance, understanding how services performance can change across clouds can help differentiate your business. This blog details the benchmarking of how PostgreSQL performs on each of our cloud offerings: AWS, GCP, OCI, and Azure.

Sometimes silence isn’t golden; it’s a red flag. Whether you’re monitoring IoT sensors, system logs, or application metrics, missing data can be just as critical as abnormal data. Without visibility into these gaps, you risk overlooking potential failures, security threats, or operational inefficiencies. In time series workflows, detecting silence is often the first sign of trouble—whether it’s a network issue, device failure, sensor failure, or stalled process.

Companies running Kubernetes workloads often discover significant and unexpected waste or underutilized resources in their compute environment. Smart organizations implement a host of FinOps activities to mitigate this waste and the cost it incurs: … and the list goes on. But these are infrastructure-level optimizations that don’t address waste within an application.

Millions of organizations across industries use data to improve their strategies, products, and services. Yet, there are bucketloads of cloud data platforms on the market, and picking the right one for your needs can be challenging. This in-depth comparison guide will help you decide on the data clouds offered by Snowflake vs. AWS vs. Azure.

Microsoft Windows Internet Information Services (IIS) log files hold a wealth of data on web application activity and performance. But, locating and managing these logs can be challenging for busy sites with constant traffic and complex infrastructures. IT operations teams rely on IIS logs to troubleshoot web applications, track server requests, identify users, and address other user traffic concerns for optimal security.

Part 2: Optimizers in Apache DataFusion In the first part of this post, we discussed what a Query Optimizer is and what role it plays and described how industrial optimizers are organized. In this second post, we describe various optimizations found in Apache DataFusion and other industrial systems in more detail.

As your time series data grows, managing increasing workloads can quickly become a headache. High data ingestion rates, numerous (and complex) queries, intensive processing tasks, and routine maintenance like data compaction often compete for limited resources. This leads to unpredictable performance and slower response times, and common solutions often introduce operational complexity.