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HAProxy 2.2 Released

HAProxy Technologies announced the general availability of HAProxy 2.2, the latest version of the company's software load balancer.

This major LTS release of HAProxy adds new features such as a fully dynamic SSL certificate storage, a native response generator, advanced ring buffer logging with syslog over TCP, security hardening, and improved observability and debugging capabilities.

HAProxy 2.2 also includes more customizable error handling and several new features that integrate directly with HAProxy's highly performant log-format capabilities, which allow developers to build complex strings that use HAProxy's powerful built-in fetches and converters. The new features allow users to serve responses directly at the edge and generate custom error files on-the-fly, which can be incorporated directly into the new and improved, flexible health check system. This release comes in short succession to the HAProxy Data Plane API 2.0 release just last month.

These exciting new HAProxy features bring improved flexibility, observability, and security capabilities needed by IT professionals, systems architects, and SREs responsible for designing reliable infrastructure, including:

- Dynamic SSL Certificate Storage -- The ability to update SSL certificates that had been previously loaded into memory by using the Runtime API has been expanded even further to allow full management of certificates using the in-memory dynamic storage. Easily create, delete, and update certificates on-the-fly. Note that it's best to have a separate step that writes these files to disk too.

- Native Response Generator -- HAProxy can now generate dynamic responses from the infrastructure edge using the new http-request return action without forwarding the request to the backend servers. Users can send dynamic responses from on-disk templates, as well as text that uses the log-format syntax, without resorting to hacks with errorfile directives and dummy backends.

- Advanced Ring Buffer Logging with Syslog Over TCP -- The new ring buffer section in HAProxy allows you to queue logs and can send them to syslog over TCP, which can be helpful when you want to ensure that every log line is processed and not lost or dropped.

- SSL/TLS Enhancements - HAProxy 2.2 updates the default TLS version to 1.2 to avoid problems found in the older protocols. It also adds more flexibility when it comes to configuring SSL certificates: You can store private key files separately now, intermediate certificates can be appended using the new issuers-chain-path directive to form a chain of trust, and the new ca-verify-file argument lets you reference a root CA for validating intermediate certificates that are, in turn, used to validate client certificates.

- Resource savings and performance improvements -- in order to further reduce the footprint in container environments, HAProxy 2.2 constantly monitors and adapts its memory usage and its idle connection pools to maintain the least needed resources without affecting performance. This even results in significant performance improvements and resource usage reductions on servers thanks to the much lower connection counts and better network efficiency.

- Improved Observability -- Each version of HAProxy improves observability and this one is no exception, with new statistics on idle connections and memory usage, multi-filter stick table searches, more accurate moving averages, and refined details in instant dumps. However, what will probably be useful to the majority is a new timing metric, %Tu, which will return the total estimated time as seen from the client, from the moment the proxy accepted the request to the moment both ends were closed, not including the idle time before the request began. This makes it more convenient to gauge a user's end-to-end experience and spot slowness at a macro level.

- Debugging -- The debug converter is a handy option that can aid in debugging captured input samples. Previously, it required compiling HAProxy with debug mode enabled. Now, it is always available and will send the output to a defined event sink.

Willy Tarreau, HAProxy Project Leader, CTO HAProxy Technologies, said: "HAProxy 2.2 further improved on top of previous versions’ quality, stability and performance. It would not be possible without all the contributions from a self-organized community of active members who drive the project forward by testing code, helping others on various media and channels, share their opinions on important design decisions, operate a constantly growing set of automated tools used for QA and documentation, provide turn-key packages for end users, bring suggestions, fixes and code. Users of open-source products often consider only the code aspect of a project, but code doesn’t stand by itself without this essential support that requires too many skills to be endorsed by developers only, and all those doing this work behind the curtains, often without having their name mentioned in any commit message, really deserve to be thanked."

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HAProxy 2.2 Released

HAProxy Technologies announced the general availability of HAProxy 2.2, the latest version of the company's software load balancer.

This major LTS release of HAProxy adds new features such as a fully dynamic SSL certificate storage, a native response generator, advanced ring buffer logging with syslog over TCP, security hardening, and improved observability and debugging capabilities.

HAProxy 2.2 also includes more customizable error handling and several new features that integrate directly with HAProxy's highly performant log-format capabilities, which allow developers to build complex strings that use HAProxy's powerful built-in fetches and converters. The new features allow users to serve responses directly at the edge and generate custom error files on-the-fly, which can be incorporated directly into the new and improved, flexible health check system. This release comes in short succession to the HAProxy Data Plane API 2.0 release just last month.

These exciting new HAProxy features bring improved flexibility, observability, and security capabilities needed by IT professionals, systems architects, and SREs responsible for designing reliable infrastructure, including:

- Dynamic SSL Certificate Storage -- The ability to update SSL certificates that had been previously loaded into memory by using the Runtime API has been expanded even further to allow full management of certificates using the in-memory dynamic storage. Easily create, delete, and update certificates on-the-fly. Note that it's best to have a separate step that writes these files to disk too.

- Native Response Generator -- HAProxy can now generate dynamic responses from the infrastructure edge using the new http-request return action without forwarding the request to the backend servers. Users can send dynamic responses from on-disk templates, as well as text that uses the log-format syntax, without resorting to hacks with errorfile directives and dummy backends.

- Advanced Ring Buffer Logging with Syslog Over TCP -- The new ring buffer section in HAProxy allows you to queue logs and can send them to syslog over TCP, which can be helpful when you want to ensure that every log line is processed and not lost or dropped.

- SSL/TLS Enhancements - HAProxy 2.2 updates the default TLS version to 1.2 to avoid problems found in the older protocols. It also adds more flexibility when it comes to configuring SSL certificates: You can store private key files separately now, intermediate certificates can be appended using the new issuers-chain-path directive to form a chain of trust, and the new ca-verify-file argument lets you reference a root CA for validating intermediate certificates that are, in turn, used to validate client certificates.

- Resource savings and performance improvements -- in order to further reduce the footprint in container environments, HAProxy 2.2 constantly monitors and adapts its memory usage and its idle connection pools to maintain the least needed resources without affecting performance. This even results in significant performance improvements and resource usage reductions on servers thanks to the much lower connection counts and better network efficiency.

- Improved Observability -- Each version of HAProxy improves observability and this one is no exception, with new statistics on idle connections and memory usage, multi-filter stick table searches, more accurate moving averages, and refined details in instant dumps. However, what will probably be useful to the majority is a new timing metric, %Tu, which will return the total estimated time as seen from the client, from the moment the proxy accepted the request to the moment both ends were closed, not including the idle time before the request began. This makes it more convenient to gauge a user's end-to-end experience and spot slowness at a macro level.

- Debugging -- The debug converter is a handy option that can aid in debugging captured input samples. Previously, it required compiling HAProxy with debug mode enabled. Now, it is always available and will send the output to a defined event sink.

Willy Tarreau, HAProxy Project Leader, CTO HAProxy Technologies, said: "HAProxy 2.2 further improved on top of previous versions’ quality, stability and performance. It would not be possible without all the contributions from a self-organized community of active members who drive the project forward by testing code, helping others on various media and channels, share their opinions on important design decisions, operate a constantly growing set of automated tools used for QA and documentation, provide turn-key packages for end users, bring suggestions, fixes and code. Users of open-source products often consider only the code aspect of a project, but code doesn’t stand by itself without this essential support that requires too many skills to be endorsed by developers only, and all those doing this work behind the curtains, often without having their name mentioned in any commit message, really deserve to be thanked."

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In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...