Operations | Monitoring | ITSM | DevOps | Cloud

The recovery playbook every IT team needs to get ahead of downtime

Most downtime doesn't come from problems your team can't solve. It comes from problems they've already solved sitting in a runbook or a text file, waiting for someone to run the fix manually. The fix is documented, and the steps are proven, yet the recovery still takes 40 minutes because a human has to log in and type it out. Workflow automation exists specifically to close that gap: The fix runs the moment the alert is triggered, not when someone sees it.

Observability is a data problem

TL;DR Metrics, logs, and traces each have a different shape, so each needs a different backend. Aiven for Metrics handles metrics and alerting, Aiven for OpenSearch handles keyword search across logs, and Aiven for ClickHouse handles analysis of high-volume, high-cardinality events. All three are upstream open source engines on the same Aiven platform, so you can start with one and add the others as your needs change.

Inside a DevOps Team Extension engagement: an infrastructure review and a Typesense architecture session

How Qovery assessed a growing B2B SaaS company's infrastructure across about 150 controls, what the review with their team changed, and why a Typesense high-availability project turned into a sharding plan. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

Replacing ingress-nginx with Envoy Gateway on Hundreds of Clusters: What the Plan Missed

In February we planned to move every Qovery-managed cluster from ingress-nginx to Envoy Gateway by the end of March. It took until October. Here is the rollout model, every class of problem we hit, and what I would do differently. Benjamin is a staff engineer at Qovery focused on infrastructure automation, Kubernetes internals, and building the deployment engine that powers thousands of clusters.

DevOps Team Extension: Qovery engineers watching your infrastructure every month

DevOps Team Extension gives growing engineering teams a named Qovery engineer, a continuous infrastructure scan, and a monthly remediation plan, so they can scale reliability, security and compliance without hiring a DevOps team first. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

SecureBridge 12.1, EntityDAC 4.1, and dbExpress drivers: Support for RAD Studio 13 Florence Release 2, SQL Server 2025, and MySQL 9.7

New versions of SecureBridge, EntityDAC, and dbExpress drivers are out. All three now work with RAD Studio 13 Florence Release 2 and offer improved support for the Arm64EC target platform. Devart dbExpress drivers also add support for Microsoft SQL Server 2025 and MySQL 9.7, while SecureBridge gains SFTP upload resume, multipart/form-data support, and a new SSL/TLS demo.

10 Best AI Logging Tools in 2026: Features, Pricing & Comparison

As businesses increasingly integrate artificial intelligence into their applications and workflows, understanding what happens behind the scenes of these AI systems has become essential. AI-powered chatbots, large language models (LLMs), and autonomous AI agents can process thousands of requests, interact with external applications, and execute complex tasks. However, when something goes wrong, identifying the source of the problem isn’t always straightforward. Was the AI response incorrect?

8 Best AI SRE Tools in 2026 for Incident Investigation and Reliability

The best AI SRE tools to evaluate in 2026 include Sherlocks AI, Resolve AI, Traversal, Cleric, Rootly AI SRE, Komodor Klaudia, Datadog Bits Investigation, and Dynatrace Intelligence. Each addresses a different part of reliability work, from investigating alerts across multiple systems to diagnosing Kubernetes failures or validating production changes. Choosing the right tool starts with a practical question: where does your team lose time during an incident?

Unify data across Datadog BYOC with cross-cluster queries for teams and AI agents

Organizations may need to keep data in specific regions or infrastructure they control, whether because of data residency requirements, internal policies, or transfer costs. Datadog Bring Your Own Cloud (BYOC) extends the Datadog platform into those environments. Each BYOC deployment runs as a Kubernetes cluster with its own object storage, keeping data close to its source.