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Techtez is a global product-engineering and IT-services partner that empowers enterprises with cloud-native architectures, Agentic AI, and intelligent automation.

An API can return a successful response and still have reliability problems.A reliable API needs to perform consistently...
08/10/2026

An API can return a successful response and still have reliability problems.

A reliable API needs to perform consistently under real-world conditions, including slow dependencies, unexpected errors, traffic spikes, and partial failures.Before calling an API reliable, look beyond the response code and examine performance, failure handling, dependencies, and observability.
It is about how consistently it works when conditions change.

Open Wireshark, filter for the Call-ID. That's step one, and it only covers SIP.Now pull RTP separately to confirm the m...
07/10/2026

Open Wireshark, filter for the Call-ID. That's step one, and it only covers SIP.
Now pull RTP separately to confirm the media stream actually made it through. Different tools, different filters, and the Call-ID from step one doesn't carry over, so it's back to manually matching IPs and ports to find the right session.

Now check Diameter logs for the auth and policy layer. By this point, the session ID may not even match the format used in the last two tools, and the thread connecting all three has to be rebuilt by hand, again.
Five tools. One incident.

Zero correlation between them, until a person manually holds it all in their head.
Every tool here did exactly what it was built to do. The failure isn't in Wireshark, the SIP trace, or the Diameter logs individually. It's in the handoffs between them, the parts no tool owns, and the parts a person ends up doing manually every single time.

AI agents become useful when they can move beyond generating responses and take actions across business workflows. But g...
05/10/2026

AI agents become useful when they can move beyond generating responses and take actions across business workflows. But giving an agent access to systems, data, and business processes also introduces a critical question:
What should the agent be allowed to do on its own?

The answer depends on context, risk, permissions, and how easily the outcome can be verified.
For production AI agents, defining where AI can act independently and where humans stay in the loop is part of the engineering.

AI is changing how work gets done, with a growing focus on reducing inefficiency rather than replacing people.Repetitive...
01/10/2026

AI is changing how work gets done, with a growing focus on reducing inefficiency rather than replacing people.

Repetitive tasks, manual processes, and time-consuming workflows can take teams away from work that requires creativity, problem-solving, and human judgment.

The real opportunity is to use AI where it can remove friction and give people more time to focus on work that matters.

RAG helps AI connect user questions with the most relevant information from your business knowledge base.Instead of rely...
30/09/2026

RAG helps AI connect user questions with the most relevant information from your business knowledge base.
Instead of relying only on its existing knowledge, it retrieves relevant data before generating a response.

This helps provide more context-aware and reliable answers.

It can also reduce the risk of outdated or inaccurate responses.
For enterprise AI, RAG brings your business knowledge closer to every answer.

Everyone keeps asking Claude or ChatGPT?Enterprise discussions have taught one thing the tool debate almost always distr...
29/09/2026

Everyone keeps asking Claude or ChatGPT?
Enterprise discussions have taught one thing the tool debate almost always distracts from what actually matters. Does it fit how your teams work?
Both have real strengths. Neither is universally better.
What separates companies that get ROI from AI and those that don't is not which model they picked. It is whether the decision was driven by strategy or by what was trending on LinkedIn that week.

Pick the one that fits your workflow. Not the one with the loudest hype.

Every AI vendor pitch leads with uptime. But what happens when the system stays available while the answers quietly beco...
23/09/2026

Every AI vendor pitch leads with uptime. But what happens when the system stays available while the answers quietly become wrong?

Uptime tells you whether the system responded. It doesn't tell you whether the response was accurate. A model can meet every SLA target while its real-world performance declines after a backend or model update.

Before your next AI vendor renewal, ask one question: What does the contract say if the system is up but the output goes wrong?

If the agreement has no clear answer, your SLA may be protecting availability not AI quality.

Read the full article to understand what your AI vendor SLA should really cover :
https://www.linkedin.com/pulse/why-ai-uptime-system-measured-differently-vendors-exploit-gap-jwx4e

AI readiness doesnโ€™t always start with a big technology investment. Sometimes, the signs are already visible in your day...
17/09/2026

AI readiness doesnโ€™t always start with a big technology investment. Sometimes, the signs are already visible in your day-to-day operations.

Unused data. Repetitive manual work. Decisions that take too long. Competitors moving faster. And teams looking for measurable results instead of another pilot.

These are strong signals that specialized AI could have a practical role in your business.
The real question is: Which business problem should AI solve first?

Two years of having Sivaramakrishnan as part of the TechTez team! ๐ŸŽ‰As a Senior Database Administrator, his work often ha...
17/09/2026

Two years of having Sivaramakrishnan as part of the TechTez team! ๐ŸŽ‰

As a Senior Database Administrator, his work often happens behind the scenes, but keeping systems reliable and data running smoothly is a big part of what keeps everything moving.

Thank you, Sivaramakrishnan, for the consistency, expertise, and effort you bring to the team. Wishing you another great year ahead!

Happy 2nd Work Anniversary, Sivaramakrishnan! ๐ŸŽ‰๐Ÿ‘

๐ŸŽ‰ Celebrating 2 Years of Kuppusamy!Two years ago, Kuppusamy joined TechTez as a Test Engineer, and since then, he has be...
16/09/2026

๐ŸŽ‰ Celebrating 2 Years of Kuppusamy!

Two years ago, Kuppusamy joined TechTez as a Test Engineer, and since then, he has been an important part of making sure our work meets the quality it should.

From testing features to spotting issues early, his attention to detail helps the team deliver with greater confidence.

Thank you, Kuppusamy, for the focus and commitment you bring to your work. Wishing you more exciting projects, new experiences, and continued growth in the year ahead.

Happy 2nd Work Anniversary, Kuppusamy! ๐ŸŽ‰๐Ÿ‘

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